Overview

Dataset statistics

Number of variables78
Number of observations29
Missing cells1000
Missing cells (%)44.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.8 KiB
Average record size in memory664.6 B

Variable types

Numeric8
Unsupported20
Text21
Categorical20
DateTime7
Boolean2

Dataset

Description샘플 데이터
Author경기도일자리재단
URLhttps://www.bigdata-region.kr/#/dataset/3f737651-4547-40ca-a0a0-abab5a9e4334

Alerts

교육기간명 has constant value ""Constant
훈련비용명 has constant value ""Constant
한국고용직업분류소분류명 has constant value ""Constant
공유수 has constant value ""Constant
수정저장일시 has constant value ""Constant
삭제여부 has constant value ""Constant
신청기간구분명 has constant value ""Constant
차수년도 is highly imbalanced (78.4%)Imbalance
공간정보번호 is highly imbalanced (67.8%)Imbalance
교육기관지도좌표위도 is highly imbalanced (60.7%)Imbalance
교육기관지도좌표경도 is highly imbalanced (60.7%)Imbalance
홈페이지바로가기수 is highly imbalanced (63.8%)Imbalance
온라인신청가능여부 has 29 (100.0%) missing valuesMissing
교육대상명 has 15 (51.7%) missing valuesMissing
교육장소명 has 4 (13.8%) missing valuesMissing
교육장소신우편번호 has 3 (10.3%) missing valuesMissing
교육장소도로명상세주소 has 20 (69.0%) missing valuesMissing
교육장소지번상세주소 has 20 (69.0%) missing valuesMissing
교육장소법정동코드 has 3 (10.3%) missing valuesMissing
신청인원명 has 4 (13.8%) missing valuesMissing
홈페이지URL has 5 (17.2%) missing valuesMissing
교육기간명 has 28 (96.6%) missing valuesMissing
훈련비용명 has 28 (96.6%) missing valuesMissing
국가직무능력표준대분류명 has 16 (55.2%) missing valuesMissing
국가직무능력표준중분류명 has 24 (82.8%) missing valuesMissing
국가직무능력표준소분류명 has 24 (82.8%) missing valuesMissing
국가직무능력표준상세분류명 has 26 (89.7%) missing valuesMissing
한국고용직업분류대분류명 has 18 (62.1%) missing valuesMissing
한국고용직업분류중분류명 has 25 (86.2%) missing valuesMissing
한국고용직업분류소분류명 has 28 (96.6%) missing valuesMissing
한국고용직업분류상세분류명 has 29 (100.0%) missing valuesMissing
중요도구분명 has 29 (100.0%) missing valuesMissing
정책사이트URL has 29 (100.0%) missing valuesMissing
차수일 has 29 (100.0%) missing valuesMissing
차수명 has 29 (100.0%) missing valuesMissing
신청시작시각 has 23 (79.3%) missing valuesMissing
신청종료일자 has 29 (100.0%) missing valuesMissing
신청종료시각 has 15 (51.7%) missing valuesMissing
결과발표일자 has 29 (100.0%) missing valuesMissing
교육시작시간 has 16 (55.2%) missing valuesMissing
교육기관우편번호 has 1 (3.4%) missing valuesMissing
교육기관도로명주소 has 1 (3.4%) missing valuesMissing
교육기관도로명상세주소 has 12 (41.4%) missing valuesMissing
교육기관지번상세주소 has 29 (100.0%) missing valuesMissing
사이트URL has 5 (17.2%) missing valuesMissing
등록저장일시 has 29 (100.0%) missing valuesMissing
수정저장일시 has 28 (96.6%) missing valuesMissing
필기시험시작일자 has 29 (100.0%) missing valuesMissing
필기시험종료일자 has 29 (100.0%) missing valuesMissing
실기시험시작일자 has 29 (100.0%) missing valuesMissing
실기시험종료일자 has 29 (100.0%) missing valuesMissing
면접시험시작일자 has 29 (100.0%) missing valuesMissing
면접시험종료일자 has 29 (100.0%) missing valuesMissing
대표전화번호 has 29 (100.0%) missing valuesMissing
교육상세추가내용 has 29 (100.0%) missing valuesMissing
신청기간구분명 has 28 (96.6%) missing valuesMissing
추가구분명 has 29 (100.0%) missing valuesMissing
추가내용 has 29 (100.0%) missing valuesMissing
교육훈련번호 has unique valuesUnique
교육명 has unique valuesUnique
태그명 has unique valuesUnique
교육내용 has unique valuesUnique
온라인신청가능여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
한국고용직업분류상세분류명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
중요도구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
정책사이트URL is an unsupported type, check if it needs cleaning or further analysisUnsupported
차수일 is an unsupported type, check if it needs cleaning or further analysisUnsupported
차수명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
신청종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
결과발표일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
교육기관지번상세주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
등록저장일시 is an unsupported type, check if it needs cleaning or further analysisUnsupported
필기시험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
필기시험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실기시험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실기시험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
면접시험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
면접시험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
대표전화번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
교육상세추가내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
추가구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
추가내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
교육장소지도좌표위도 has 3 (10.3%) zerosZeros
교육장소지도좌표경도 has 3 (10.3%) zerosZeros

Reproduction

Analysis started2023-12-10 13:54:00.147647
Analysis finished2023-12-10 13:54:02.345607
Duration2.2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육훈련번호
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1068.069
Minimum1054
Maximum1083
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T22:54:02.436845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1054
5-th percentile1055.4
Q11061
median1068
Q31075
95-th percentile1081.2
Maximum1083
Range29
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.6310529
Coefficient of variation (CV)0.0080809884
Kurtosis-1.1397812
Mean1068.069
Median Absolute Deviation (MAD)7
Skewness0.044532348
Sum30974
Variance74.495074
MonotonicityStrictly increasing
2023-12-10T22:54:02.671193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1054 1
 
3.4%
1055 1
 
3.4%
1083 1
 
3.4%
1082 1
 
3.4%
1080 1
 
3.4%
1079 1
 
3.4%
1078 1
 
3.4%
1077 1
 
3.4%
1076 1
 
3.4%
1075 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
1054 1
3.4%
1055 1
3.4%
1056 1
3.4%
1057 1
3.4%
1058 1
3.4%
1059 1
3.4%
1060 1
3.4%
1061 1
3.4%
1062 1
3.4%
1063 1
3.4%
ValueCountFrequency (%)
1083 1
3.4%
1082 1
3.4%
1080 1
3.4%
1079 1
3.4%
1078 1
3.4%
1077 1
3.4%
1076 1
3.4%
1075 1
3.4%
1074 1
3.4%
1073 1
3.4%

온라인신청가능여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

교육명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T22:54:03.185521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length26
Mean length21.517241
Min length8

Characters and Unicode

Total characters624
Distinct characters214
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row[넥시드] 인도네시아 스타트업 세미나 - KEJORA VC의 Andy Zain
2nd rowFITT 선수재활 현장세미나
3rd row시작하세요! Photon을 사용한 실시간 멀티플레이 게임 만들기
4th row[무료특강] 수원 영통역 합격 자소서 대비 취업특강
5th row(6차) INVENTOR 활용 3D 모델링 교육
ValueCountFrequency (%)
스타트업 4
 
3.1%
교육 3
 
2.3%
활용 3
 
2.3%
2017 3
 
2.3%
모델링 2
 
1.6%
업라이즈 2
 
1.6%
제4차 2
 
1.6%
3d 2
 
1.6%
모집 2
 
1.6%
global 2
 
1.6%
Other values (102) 103
80.5%
2023-12-10T22:54:03.840120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
104
 
16.7%
업 14
 
2.2%
o 9
 
1.4%
1 8
 
1.3%
스 8
 
1.3%
a 8
 
1.3%
트 8
 
1.3%
이 8
 
1.3%
미 7
 
1.1%
차 7
 
1.1%
Other values (204) 443
71.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 339
54.3%
Space Separator 104
 
16.7%
Lowercase Letter 68
 
10.9%
Uppercase Letter 58
 
9.3%
Decimal Number 33
 
5.3%
Open Punctuation 7
 
1.1%
Close Punctuation 7
 
1.1%
Dash Punctuation 3
 
0.5%
Other Punctuation 3
 
0.5%
Math Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 14
 
4.1%
스 8
 
2.4%
트 8
 
2.4%
이 8
 
2.4%
미 7
 
2.1%
차 7
 
2.1%
기 7
 
2.1%
육 6
 
1.8%
세 6
 
1.8%
타 6
 
1.8%
Other values (143) 262
77.3%
Uppercase Letter
ValueCountFrequency (%)
T 7
 
12.1%
A 6
 
10.3%
D 4
 
6.9%
E 4
 
6.9%
O 4
 
6.9%
P 3
 
5.2%
G 3
 
5.2%
S 3
 
5.2%
R 3
 
5.2%
M 3
 
5.2%
Other values (12) 18
31.0%
Lowercase Letter
ValueCountFrequency (%)
o 9
13.2%
a 8
11.8%
l 7
10.3%
n 6
 
8.8%
e 6
 
8.8%
r 4
 
5.9%
i 4
 
5.9%
m 3
 
4.4%
b 3
 
4.4%
t 3
 
4.4%
Other values (9) 15
22.1%
Decimal Number
ValueCountFrequency (%)
1 8
24.2%
0 6
18.2%
2 5
15.2%
4 4
12.1%
7 4
12.1%
5 2
 
6.1%
3 2
 
6.1%
6 1
 
3.0%
8 1
 
3.0%
Other Punctuation
ValueCountFrequency (%)
# 1
33.3%
: 1
33.3%
! 1
33.3%
Open Punctuation
ValueCountFrequency (%)
[ 4
57.1%
( 3
42.9%
Close Punctuation
ValueCountFrequency (%)
] 4
57.1%
) 3
42.9%
Space Separator
ValueCountFrequency (%)
104
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 339
54.3%
Common 159
25.5%
Latin 126
 
20.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 14
 
4.1%
스 8
 
2.4%
트 8
 
2.4%
이 8
 
2.4%
미 7
 
2.1%
차 7
 
2.1%
기 7
 
2.1%
육 6
 
1.8%
세 6
 
1.8%
타 6
 
1.8%
Other values (143) 262
77.3%
Latin
ValueCountFrequency (%)
o 9
 
7.1%
a 8
 
6.3%
T 7
 
5.6%
l 7
 
5.6%
n 6
 
4.8%
e 6
 
4.8%
A 6
 
4.8%
D 4
 
3.2%
r 4
 
3.2%
E 4
 
3.2%
Other values (31) 65
51.6%
Common
ValueCountFrequency (%)
104
65.4%
1 8
 
5.0%
0 6
 
3.8%
2 5
 
3.1%
4 4
 
2.5%
7 4
 
2.5%
[ 4
 
2.5%
] 4
 
2.5%
- 3
 
1.9%
( 3
 
1.9%
Other values (10) 14
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 339
54.3%
ASCII 285
45.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
104
36.5%
o 9
 
3.2%
1 8
 
2.8%
a 8
 
2.8%
T 7
 
2.5%
l 7
 
2.5%
n 6
 
2.1%
e 6
 
2.1%
0 6
 
2.1%
A 6
 
2.1%
Other values (51) 118
41.4%
Hangul
ValueCountFrequency (%)
업 14
 
4.1%
스 8
 
2.4%
트 8
 
2.4%
이 8
 
2.4%
미 7
 
2.1%
차 7
 
2.1%
기 7
 
2.1%
육 6
 
1.8%
세 6
 
1.8%
타 6
 
1.8%
Other values (143) 262
77.3%

교육대상명
Text

MISSING 

Distinct13
Distinct (%)92.9%
Missing15
Missing (%)51.7%
Memory size364.0 B
2023-12-10T22:54:04.215168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length23
Mean length22
Min length3

Characters and Unicode

Total characters308
Distinct characters100
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)85.7%

Sample

1st row스타트업업계 종사자 및 투자유치에 관심있는 모든 분들
2nd row누구나
3rd row재직자; 구직자; 예비창업자; 대학(원)생등 3D 프린팅 기술 활용 희망자
4th row스타트업; 보육기업; 예비창업자; 대학생; 일반인 등
5th row재직자; 구직자; 예비창업자; 대학(원)생등 3D 프린팅 기술 활용 희망자
ValueCountFrequency (%)
예비창업자 4
 
5.5%
재직자 3
 
4.1%
3d 3
 
4.1%
프린팅 3
 
4.1%
기술 3
 
4.1%
활용 3
 
4.1%
희망자 3
 
4.1%
만 3
 
4.1%
누구나 3
 
4.1%
구직자 3
 
4.1%
Other values (39) 42
57.5%
2023-12-10T22:54:04.830566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
62
 
20.1%
자 21
 
6.8%
; 17
 
5.5%
업 12
 
3.9%
창 7
 
2.3%
기 7
 
2.3%
직 6
 
1.9%
구 6
 
1.9%
3 5
 
1.6%
망 5
 
1.6%
Other values (90) 160
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 205
66.6%
Space Separator 62
 
20.1%
Other Punctuation 17
 
5.5%
Decimal Number 12
 
3.9%
Uppercase Letter 5
 
1.6%
Open Punctuation 3
 
1.0%
Close Punctuation 3
 
1.0%
Math Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 21
 
10.2%
업 12
 
5.9%
창 7
 
3.4%
기 7
 
3.4%
직 6
 
2.9%
구 6
 
2.9%
망 5
 
2.4%
희 5
 
2.4%
비 4
 
2.0%
예 4
 
2.0%
Other values (76) 128
62.4%
Decimal Number
ValueCountFrequency (%)
3 5
41.7%
9 2
 
16.7%
4 2
 
16.7%
0 1
 
8.3%
2 1
 
8.3%
1 1
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
D 3
60.0%
Q 1
 
20.0%
A 1
 
20.0%
Space Separator
ValueCountFrequency (%)
62
100.0%
Other Punctuation
ValueCountFrequency (%)
; 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 205
66.6%
Common 98
31.8%
Latin 5
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 21
 
10.2%
업 12
 
5.9%
창 7
 
3.4%
기 7
 
3.4%
직 6
 
2.9%
구 6
 
2.9%
망 5
 
2.4%
희 5
 
2.4%
비 4
 
2.0%
예 4
 
2.0%
Other values (76) 128
62.4%
Common
ValueCountFrequency (%)
62
63.3%
; 17
 
17.3%
3 5
 
5.1%
( 3
 
3.1%
) 3
 
3.1%
9 2
 
2.0%
4 2
 
2.0%
0 1
 
1.0%
2 1
 
1.0%
1 1
 
1.0%
Latin
ValueCountFrequency (%)
D 3
60.0%
Q 1
 
20.0%
A 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 205
66.6%
ASCII 103
33.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
62
60.2%
; 17
 
16.5%
3 5
 
4.9%
( 3
 
2.9%
) 3
 
2.9%
D 3
 
2.9%
9 2
 
1.9%
4 2
 
1.9%
0 1
 
1.0%
2 1
 
1.0%
Other values (4) 4
 
3.9%
Hangul
ValueCountFrequency (%)
자 21
 
10.2%
업 12
 
5.9%
창 7
 
3.4%
기 7
 
3.4%
직 6
 
2.9%
구 6
 
2.9%
망 5
 
2.4%
희 5
 
2.4%
비 4
 
2.0%
예 4
 
2.0%
Other values (76) 128
62.4%

교육장소명
Text

MISSING 

Distinct19
Distinct (%)76.0%
Missing4
Missing (%)13.8%
Memory size364.0 B
2023-12-10T22:54:05.193549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length17
Mean length11.88
Min length7

Characters and Unicode

Total characters297
Distinct characters99
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)68.0%

Sample

1st row스타트업캠퍼스 1층 컨퍼런스홈
2nd row경기창조경제혁신센터
3rd row모이자 수원본점
4th row경기테크노파크
5th row경기창조경제혁신센터
ValueCountFrequency (%)
경기창조경제혁신센터 7
 
13.2%
스타트업캠퍼스 4
 
7.5%
1층 3
 
5.7%
킨텍스 3
 
5.7%
제2전시장 2
 
3.8%
경기테크노파크 2
 
3.8%
그린팩토리 1
 
1.9%
7 1
 
1.9%
1
 
1.9%
8 1
 
1.9%
Other values (28) 28
52.8%
2023-12-10T22:54:05.755975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29
 
9.8%
경 20
 
6.7%
스 14
 
4.7%
기 13
 
4.4%
제 11
 
3.7%
센 11
 
3.7%
터 11
 
3.7%
창 10
 
3.4%
조 9
 
3.0%
혁 9
 
3.0%
Other values (89) 160
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 241
81.1%
Space Separator 29
 
9.8%
Decimal Number 14
 
4.7%
Uppercase Letter 10
 
3.4%
Other Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 20
 
8.3%
스 14
 
5.8%
기 13
 
5.4%
제 11
 
4.6%
센 11
 
4.6%
터 11
 
4.6%
창 10
 
4.1%
조 9
 
3.7%
혁 9
 
3.7%
신 9
 
3.7%
Other values (69) 124
51.5%
Decimal Number
ValueCountFrequency (%)
2 4
28.6%
1 4
28.6%
7 1
 
7.1%
4 1
 
7.1%
3 1
 
7.1%
8 1
 
7.1%
6 1
 
7.1%
9 1
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
R 2
20.0%
B 2
20.0%
N 1
10.0%
A 1
10.0%
V 1
10.0%
E 1
10.0%
T 1
10.0%
I 1
10.0%
Space Separator
ValueCountFrequency (%)
29
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 241
81.1%
Common 46
 
15.5%
Latin 10
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 20
 
8.3%
스 14
 
5.8%
기 13
 
5.4%
제 11
 
4.6%
센 11
 
4.6%
터 11
 
4.6%
창 10
 
4.1%
조 9
 
3.7%
혁 9
 
3.7%
신 9
 
3.7%
Other values (69) 124
51.5%
Common
ValueCountFrequency (%)
29
63.0%
2 4
 
8.7%
1 4
 
8.7%
& 1
 
2.2%
7 1
 
2.2%
4 1
 
2.2%
3 1
 
2.2%
8 1
 
2.2%
6 1
 
2.2%
( 1
 
2.2%
Other values (2) 2
 
4.3%
Latin
ValueCountFrequency (%)
R 2
20.0%
B 2
20.0%
N 1
10.0%
A 1
10.0%
V 1
10.0%
E 1
10.0%
T 1
10.0%
I 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 241
81.1%
ASCII 56
 
18.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29
51.8%
2 4
 
7.1%
1 4
 
7.1%
R 2
 
3.6%
B 2
 
3.6%
& 1
 
1.8%
7 1
 
1.8%
4 1
 
1.8%
3 1
 
1.8%
8 1
 
1.8%
Other values (10) 10
 
17.9%
Hangul
ValueCountFrequency (%)
경 20
 
8.3%
스 14
 
5.8%
기 13
 
5.4%
제 11
 
4.6%
센 11
 
4.6%
터 11
 
4.6%
창 10
 
4.1%
조 9
 
3.7%
혁 9
 
3.7%
신 9
 
3.7%
Other values (69) 124
51.5%

교육장소신우편번호
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)34.6%
Missing3
Missing (%)10.3%
Infinite0
Infinite (%)0.0%
Mean13556.154
Minimum10390
Maximum16922
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T22:54:05.992235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10390
5-th percentile10390
Q113487
median13487
Q313931.5
95-th percentile16425
Maximum16922
Range6532
Interquartile range (IQR)444.5

Descriptive statistics

Standard deviation1723.9785
Coefficient of variation (CV)0.12717313
Kurtosis0.51785286
Mean13556.154
Median Absolute Deviation (MAD)1
Skewness-0.27242306
Sum352460
Variance2972101.7
MonotonicityNot monotonic
2023-12-10T22:54:06.305077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
13487 10
34.5%
13488 4
 
13.8%
10390 4
 
13.8%
15588 3
 
10.3%
16704 1
 
3.4%
16922 1
 
3.4%
14072 1
 
3.4%
14055 1
 
3.4%
13561 1
 
3.4%
(Missing) 3
 
10.3%
ValueCountFrequency (%)
10390 4
 
13.8%
13487 10
34.5%
13488 4
 
13.8%
13561 1
 
3.4%
14055 1
 
3.4%
14072 1
 
3.4%
15588 3
 
10.3%
16704 1
 
3.4%
16922 1
 
3.4%
ValueCountFrequency (%)
16922 1
 
3.4%
16704 1
 
3.4%
15588 3
 
10.3%
14072 1
 
3.4%
14055 1
 
3.4%
13561 1
 
3.4%
13488 4
 
13.8%
13487 10
34.5%
10390 4
 
13.8%

교육장소도로명주소
Categorical

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
경기 성남시 분당구 대왕판교로645번길 12 (삼평동; 경기창조경제혁신센터)
10 
경기 안산시 상록구 해안로 705 (사동; 경기테크노파크)
3 
경기 성남시 분당구 판교로289번길 20 (삼평동; 판교테크노밸리 스타트업 캠퍼스)
3 
경기 고양시 일산서구 킨텍스로 217-60 (대화동; 킨텍스)
3 
<NA>
3 
Other values (7)
7 

Length

Max length46
Median length39
Mean length34.206897
Min length4

Unique

Unique7 ?
Unique (%)24.1%

Sample

1st row경기 성남시 분당구 대왕판교로645번길 12 (삼평동; 경기창조경제혁신센터)
2nd row경기 성남시 분당구 판교로 289 (삼평동; 에이텍 빌딩)
3rd row경기 성남시 분당구 대왕판교로645번길 12 (삼평동; 경기창조경제혁신센터)
4th row경기 수원시 영통구 봉영로 1612 (영통동)
5th row경기 안산시 상록구 해안로 705 (사동; 경기테크노파크)

Common Values

ValueCountFrequency (%)
경기 성남시 분당구 대왕판교로645번길 12 (삼평동; 경기창조경제혁신센터) 10
34.5%
경기 안산시 상록구 해안로 705 (사동; 경기테크노파크) 3
 
10.3%
경기 성남시 분당구 판교로289번길 20 (삼평동; 판교테크노밸리 스타트업 캠퍼스) 3
 
10.3%
경기 고양시 일산서구 킨텍스로 217-60 (대화동; 킨텍스) 3
 
10.3%
<NA> 3
 
10.3%
경기 성남시 분당구 판교로 289 (삼평동; 에이텍 빌딩) 1
 
3.4%
경기 수원시 영통구 봉영로 1612 (영통동) 1
 
3.4%
경기 용인시 기흥구 용구대로 2311 (마북동; 경기도여성능력개발센타) 1
 
3.4%
경기 안양시 동안구 평촌대로211번길 26 (호계동; 봄빛병원) 1
 
3.4%
경기 안양시 동안구 부림로170번길 20 (관양동) 1
 
3.4%
Other values (2) 2
 
6.9%

Length

2023-12-10T22:54:06.521531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기 26
 
13.7%
분당구 15
 
7.9%
성남시 15
 
7.9%
삼평동 14
 
7.4%
대왕판교로645번길 10
 
5.3%
12 10
 
5.3%
경기창조경제혁신센터 10
 
5.3%
20 4
 
2.1%
대화동 4
 
2.1%
킨텍스로 4
 
2.1%
Other values (44) 78
41.1%

교육장소도로명상세주소
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing20
Missing (%)69.0%
Memory size364.0 B
2023-12-10T22:54:06.793903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length11
Mean length10.444444
Min length3

Characters and Unicode

Total characters94
Distinct characters56
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)100.0%

Sample

1st row7층 세미나실
2nd row스타트업캠퍼스 1층 컨퍼런스홈
3rd row1층 기가홀
4th rowRIT 센터 202호
5th row지하2층 국제회의장
ValueCountFrequency (%)
1층 2
 
9.1%
202호 2
 
9.1%
7층 1
 
4.5%
5층 1
 
4.5%
멘토링관리 1
 
4.5%
내 1
 
4.5%
2홀 1
 
4.5%
제1전시장 1
 
4.5%
킨텍스 1
 
4.5%
rit센터 1
 
4.5%
Other values (10) 10
45.5%
2023-12-10T22:54:07.311028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
 
13.8%
2 6
 
6.4%
층 5
 
5.3%
스 4
 
4.3%
1 3
 
3.2%
퍼 2
 
2.1%
홀 2
 
2.1%
T 2
 
2.1%
센 2
 
2.1%
터 2
 
2.1%
Other values (46) 53
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62
66.0%
Space Separator 13
 
13.8%
Decimal Number 13
 
13.8%
Uppercase Letter 6
 
6.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 5
 
8.1%
스 4
 
6.5%
퍼 2
 
3.2%
홀 2
 
3.2%
센 2
 
3.2%
터 2
 
3.2%
호 2
 
3.2%
제 2
 
3.2%
이 2
 
3.2%
장 2
 
3.2%
Other values (37) 37
59.7%
Decimal Number
ValueCountFrequency (%)
2 6
46.2%
1 3
23.1%
0 2
 
15.4%
7 1
 
7.7%
5 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
T 2
33.3%
R 2
33.3%
I 2
33.3%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62
66.0%
Common 26
27.7%
Latin 6
 
6.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 5
 
8.1%
스 4
 
6.5%
퍼 2
 
3.2%
홀 2
 
3.2%
센 2
 
3.2%
터 2
 
3.2%
호 2
 
3.2%
제 2
 
3.2%
이 2
 
3.2%
장 2
 
3.2%
Other values (37) 37
59.7%
Common
ValueCountFrequency (%)
13
50.0%
2 6
23.1%
1 3
 
11.5%
0 2
 
7.7%
7 1
 
3.8%
5 1
 
3.8%
Latin
ValueCountFrequency (%)
T 2
33.3%
R 2
33.3%
I 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62
66.0%
ASCII 32
34.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13
40.6%
2 6
18.8%
1 3
 
9.4%
T 2
 
6.2%
0 2
 
6.2%
R 2
 
6.2%
I 2
 
6.2%
7 1
 
3.1%
5 1
 
3.1%
Hangul
ValueCountFrequency (%)
층 5
 
8.1%
스 4
 
6.5%
퍼 2
 
3.2%
홀 2
 
3.2%
센 2
 
3.2%
터 2
 
3.2%
호 2
 
3.2%
제 2
 
3.2%
이 2
 
3.2%
장 2
 
3.2%
Other values (37) 37
59.7%

교육장소지번주소
Categorical

Distinct9
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
경기 성남시 분당구 *** ***
14 
경기 고양시 일산서구 *** ****
4 
경기 안산시 상록구 ** *******
3 
3 
경기 수원시 영통구 *** *****
 
1
Other values (4)
4 

Length

Max length22
Median length19
Mean length18
Min length1

Unique

Unique5 ?
Unique (%)17.2%

Sample

1st row경기 성남시 분당구 *** ***
2nd row경기 성남시 분당구 *** ***
3rd row경기 성남시 분당구 *** ***
4th row경기 수원시 영통구 *** *****
5th row경기 안산시 상록구 ** *******

Common Values

ValueCountFrequency (%)
경기 성남시 분당구 *** *** 14
48.3%
경기 고양시 일산서구 *** **** 4
 
13.8%
경기 안산시 상록구 ** ******* 3
 
10.3%
3
 
10.3%
경기 수원시 영통구 *** ***** 1
 
3.4%
경기 용인시 기흥구 *** *** 1
 
3.4%
경기 안양시 동안구 *** ****** 1
 
3.4%
경기 안양시 동안구 *** **** 1
 
3.4%
경기 성남시 분당구 *** ***** 1
 
3.4%

Length

2023-12-10T22:54:07.551368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:54:07.738759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
52
40.0%
경기 26
20.0%
성남시 15
 
11.5%
분당구 15
 
11.5%
고양시 4
 
3.1%
일산서구 4
 
3.1%
안산시 3
 
2.3%
상록구 3
 
2.3%
안양시 2
 
1.5%
동안구 2
 
1.5%
Other values (4) 4
 
3.1%

교육장소지번상세주소
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing20
Missing (%)69.0%
Memory size364.0 B
2023-12-10T22:54:08.064821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length11
Mean length10.444444
Min length3

Characters and Unicode

Total characters94
Distinct characters56
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)100.0%

Sample

1st row7층 세미나실
2nd row스타트업캠퍼스 1층 컨퍼런스홈
3rd row1층 기가홀
4th rowRIT 센터 202호
5th row지하2층 국제회의장
ValueCountFrequency (%)
1층 2
 
9.1%
202호 2
 
9.1%
7층 1
 
4.5%
5층 1
 
4.5%
멘토링관리 1
 
4.5%
내 1
 
4.5%
2홀 1
 
4.5%
제1전시장 1
 
4.5%
킨텍스 1
 
4.5%
rit센터 1
 
4.5%
Other values (10) 10
45.5%
2023-12-10T22:54:08.533027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
 
13.8%
2 6
 
6.4%
층 5
 
5.3%
스 4
 
4.3%
1 3
 
3.2%
퍼 2
 
2.1%
홀 2
 
2.1%
T 2
 
2.1%
센 2
 
2.1%
터 2
 
2.1%
Other values (46) 53
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62
66.0%
Space Separator 13
 
13.8%
Decimal Number 13
 
13.8%
Uppercase Letter 6
 
6.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 5
 
8.1%
스 4
 
6.5%
퍼 2
 
3.2%
홀 2
 
3.2%
센 2
 
3.2%
터 2
 
3.2%
호 2
 
3.2%
제 2
 
3.2%
이 2
 
3.2%
장 2
 
3.2%
Other values (37) 37
59.7%
Decimal Number
ValueCountFrequency (%)
2 6
46.2%
1 3
23.1%
0 2
 
15.4%
7 1
 
7.7%
5 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
T 2
33.3%
R 2
33.3%
I 2
33.3%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62
66.0%
Common 26
27.7%
Latin 6
 
6.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 5
 
8.1%
스 4
 
6.5%
퍼 2
 
3.2%
홀 2
 
3.2%
센 2
 
3.2%
터 2
 
3.2%
호 2
 
3.2%
제 2
 
3.2%
이 2
 
3.2%
장 2
 
3.2%
Other values (37) 37
59.7%
Common
ValueCountFrequency (%)
13
50.0%
2 6
23.1%
1 3
 
11.5%
0 2
 
7.7%
7 1
 
3.8%
5 1
 
3.8%
Latin
ValueCountFrequency (%)
T 2
33.3%
R 2
33.3%
I 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62
66.0%
ASCII 32
34.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13
40.6%
2 6
18.8%
1 3
 
9.4%
T 2
 
6.2%
0 2
 
6.2%
R 2
 
6.2%
I 2
 
6.2%
7 1
 
3.1%
5 1
 
3.1%
Hangul
ValueCountFrequency (%)
층 5
 
8.1%
스 4
 
6.5%
퍼 2
 
3.2%
홀 2
 
3.2%
센 2
 
3.2%
터 2
 
3.2%
호 2
 
3.2%
제 2
 
3.2%
이 2
 
3.2%
장 2
 
3.2%
Other values (37) 37
59.7%

교육장소지도좌표위도
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.546933
Minimum0
Maximum37.668935
Zeros3
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T22:54:08.706224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q137.293396
median37.400322
Q337.403521
95-th percentile37.668935
Maximum37.668935
Range37.668935
Interquartile range (IQR)0.1101255

Descriptive statistics

Standard deviation11.597567
Coefficient of variation (CV)0.34571168
Kurtosis5.9597821
Mean33.546933
Median Absolute Deviation (MAD)0.0042988
Skewness-2.7480111
Sum972.86106
Variance134.50355
MonotonicityNot monotonic
2023-12-10T22:54:08.819013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
37.4003219 10
34.5%
37.2908721 3
 
10.3%
37.4046207 3
 
10.3%
37.6689351 3
 
10.3%
0.0 3
 
10.3%
37.4035212 1
 
3.4%
37.2544855 1
 
3.4%
37.2933957 1
 
3.4%
37.3902213 1
 
3.4%
37.398716 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
0.0 3
 
10.3%
37.2544855 1
 
3.4%
37.2908721 3
 
10.3%
37.2933957 1
 
3.4%
37.3595196 1
 
3.4%
37.3902213 1
 
3.4%
37.398716 1
 
3.4%
37.4003219 10
34.5%
37.4035212 1
 
3.4%
37.4046207 3
 
10.3%
ValueCountFrequency (%)
37.6689351 3
 
10.3%
37.664696 1
 
3.4%
37.4046207 3
 
10.3%
37.4035212 1
 
3.4%
37.4003219 10
34.5%
37.398716 1
 
3.4%
37.3902213 1
 
3.4%
37.3595196 1
 
3.4%
37.2933957 1
 
3.4%
37.2908721 3
 
10.3%

교육장소지도좌표경도
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.86721
Minimum0
Maximum127.10807
Zeros3
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T22:54:08.944656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1126.83
median127.10488
Q3127.10488
95-th percentile127.10597
Maximum127.10807
Range127.10807
Interquartile range (IQR)0.2748741

Descriptive statistics

Standard deviation39.363641
Coefficient of variation (CV)0.34569779
Kurtosis5.9612103
Mean113.86721
Median Absolute Deviation (MAD)0.0012016
Skewness-2.7484302
Sum3302.149
Variance1549.4963
MonotonicityNot monotonic
2023-12-10T22:54:09.071841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
127.1048758 10
34.5%
126.8300017 3
 
10.3%
127.1058124 3
 
10.3%
126.7458026 3
 
10.3%
0.0 3
 
10.3%
127.1060774 1
 
3.4%
127.075023 1
 
3.4%
127.1080744 1
 
3.4%
126.9545185 1
 
3.4%
126.9643886 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
0.0 3
 
10.3%
126.7420633 1
 
3.4%
126.7458026 3
 
10.3%
126.8300017 3
 
10.3%
126.9545185 1
 
3.4%
126.9643886 1
 
3.4%
127.075023 1
 
3.4%
127.1048758 10
34.5%
127.1052208 1
 
3.4%
127.1058124 3
 
10.3%
ValueCountFrequency (%)
127.1080744 1
 
3.4%
127.1060774 1
 
3.4%
127.1058124 3
 
10.3%
127.1052208 1
 
3.4%
127.1048758 10
34.5%
127.075023 1
 
3.4%
126.9643886 1
 
3.4%
126.9545185 1
 
3.4%
126.8300017 3
 
10.3%
126.7458026 3
 
10.3%

교육장소법정동코드
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)30.8%
Missing3
Missing (%)10.3%
Infinite0
Infinite (%)0.0%
Mean4.118903 × 109
Minimum4.1117105 × 109
Maximum4.1463113 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T22:54:09.182796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.1117105 × 109
5-th percentile4.1135104 × 109
Q14.1135109 × 109
median4.1135109 × 109
Q34.1271103 × 109
95-th percentile4.1287104 × 109
Maximum4.1463113 × 109
Range34600800
Interquartile range (IQR)13599400

Descriptive statistics

Standard deviation8557961.6
Coefficient of variation (CV)0.0020777284
Kurtosis2.5809395
Mean4.118903 × 109
Median Absolute Deviation (MAD)0
Skewness1.6101731
Sum1.0709148 × 1011
Variance7.3238706 × 1013
MonotonicityNot monotonic
2023-12-10T22:54:09.301133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4113510900 14
48.3%
4128710400 4
 
13.8%
4127110300 3
 
10.3%
4111710500 1
 
3.4%
4146311300 1
 
3.4%
4117310400 1
 
3.4%
4117310200 1
 
3.4%
4113510300 1
 
3.4%
(Missing) 3
 
10.3%
ValueCountFrequency (%)
4111710500 1
 
3.4%
4113510300 1
 
3.4%
4113510900 14
48.3%
4117310200 1
 
3.4%
4117310400 1
 
3.4%
4127110300 3
 
10.3%
4128710400 4
 
13.8%
4146311300 1
 
3.4%
ValueCountFrequency (%)
4146311300 1
 
3.4%
4128710400 4
 
13.8%
4127110300 3
 
10.3%
4117310400 1
 
3.4%
4117310200 1
 
3.4%
4113510900 14
48.3%
4113510300 1
 
3.4%
4111710500 1
 
3.4%

접수방법명
Categorical

Distinct13
Distinct (%)44.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
온라인접수
15 
온라인접수
3 
온라인접수 (http://onoffmix.com/event/96180)
 
1
온라인접수(http://onoffmix.com/event/96061)
 
1
온라인접수(http://onoffmix.com/event/95634)
 
1
Other values (8)
8 

Length

Max length39
Median length5
Mean length14.62069
Min length5

Unique

Unique11 ?
Unique (%)37.9%

Sample

1st row온라인접수 (http://onoffmix.com/event/96180)
2nd row온라인접수
3rd row온라인접수
4th row온라인접수(http://onoffmix.com/event/96061)
5th row온라인접수(http://onoffmix.com/event/95634)

Common Values

ValueCountFrequency (%)
온라인접수 15
51.7%
온라인접수 3
 
10.3%
온라인접수 (http://onoffmix.com/event/96180) 1
 
3.4%
온라인접수(http://onoffmix.com/event/96061) 1
 
3.4%
온라인접수(http://onoffmix.com/event/95634) 1
 
3.4%
온라인접수(http://onoffmix.com/event/96313) 1
 
3.4%
온라인접수(http://onoffmix.com/event/96843) 1
 
3.4%
온라인접수(http://onoffmix.com/event/97502) 1
 
3.4%
온라인 접수 1
 
3.4%
온오프믹스;로보유니버스&amp;k드론 홈페이지 사전등록 1
 
3.4%
Other values (3) 3
 
10.3%

Length

2023-12-10T22:54:09.485548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
온라인접수 19
57.6%
http://onoffmix.com/event/96180 1
 
3.0%
온라인접수(http://onoffmix.com/event/96061 1
 
3.0%
온라인접수(http://onoffmix.com/event/95634 1
 
3.0%
온라인접수(http://onoffmix.com/event/96313 1
 
3.0%
온라인접수(http://onoffmix.com/event/96843 1
 
3.0%
온라인접수(http://onoffmix.com/event/97502 1
 
3.0%
온라인 1
 
3.0%
접수 1
 
3.0%
온오프믹스;로보유니버스&amp;k드론 1
 
3.0%
Other values (5) 5
 
15.2%

신청인원명
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)44.0%
Missing4
Missing (%)13.8%
Infinite0
Infinite (%)0.0%
Mean104.4
Minimum20
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T22:54:09.689298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile25
Q140
median100
Q3150
95-th percentile240
Maximum300
Range280
Interquartile range (IQR)110

Descriptive statistics

Standard deviation74.152433
Coefficient of variation (CV)0.71027235
Kurtosis0.65102114
Mean104.4
Median Absolute Deviation (MAD)50
Skewness0.92440281
Sum2610
Variance5498.5833
MonotonicityNot monotonic
2023-12-10T22:54:09.896422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
150 6
20.7%
100 5
17.2%
30 3
10.3%
50 2
 
6.9%
25 2
 
6.9%
40 2
 
6.9%
300 1
 
3.4%
200 1
 
3.4%
250 1
 
3.4%
120 1
 
3.4%
(Missing) 4
13.8%
ValueCountFrequency (%)
20 1
 
3.4%
25 2
 
6.9%
30 3
10.3%
40 2
 
6.9%
50 2
 
6.9%
100 5
17.2%
120 1
 
3.4%
150 6
20.7%
200 1
 
3.4%
250 1
 
3.4%
ValueCountFrequency (%)
300 1
 
3.4%
250 1
 
3.4%
200 1
 
3.4%
150 6
20.7%
120 1
 
3.4%
100 5
17.2%
50 2
 
6.9%
40 2
 
6.9%
30 3
10.3%
25 2
 
6.9%

홈페이지URL
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing5
Missing (%)17.2%
Memory size364.0 B
2023-12-10T22:54:10.217530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length200
Median length31
Mean length42.5
Min length20

Characters and Unicode

Total characters1020
Distinct characters61
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st rowhttps://www.fitt.kr/index.fitt
2nd rowhttp://www.xbaas.com/
3rd rowhttps://docs.google.com/forms/d/1beRx_T4Qr8SBVj-RSGylvA3OQgdTdymQfEDu5vvdeRs/viewform?edit_requested=true
4th rowhttp://www.gjf.or.kr
5th rowhttp://onoffmix.com/event/95630
ValueCountFrequency (%)
https://www.fitt.kr/index.fitt 1
 
4.2%
http://www.xbaas.com 1
 
4.2%
http://www.gjf.or.kr/?page_id=340&uid=410&mod=document&pageid=1 1
 
4.2%
http://onoffmix.com/event/99714 1
 
4.2%
http://startupall.kr/event/koreaninsv-2017 1
 
4.2%
https://www.facebook.com/inteltglab 1
 
4.2%
http://www.robouniverse.co.kr/2017/r1.php?sel=robo 1
 
4.2%
http://onoffmix.com/event/92198 1
 
4.2%
http://onoffmix.com/event/90459 1
 
4.2%
http://onoffmix.com/event/89711 1
 
4.2%
Other values (14) 14
58.3%
2023-12-10T22:54:10.765070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 95
 
9.3%
t 81
 
7.9%
o 71
 
7.0%
e 65
 
6.4%
n 40
 
3.9%
. 39
 
3.8%
m 37
 
3.6%
f 36
 
3.5%
p 35
 
3.4%
r 32
 
3.1%
Other values (51) 489
47.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 669
65.6%
Other Punctuation 176
 
17.3%
Decimal Number 111
 
10.9%
Uppercase Letter 40
 
3.9%
Math Symbol 17
 
1.7%
Dash Punctuation 4
 
0.4%
Connector Punctuation 3
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 81
 
12.1%
o 71
 
10.6%
e 65
 
9.7%
n 40
 
6.0%
m 37
 
5.5%
f 36
 
5.4%
p 35
 
5.2%
r 32
 
4.8%
h 32
 
4.8%
c 29
 
4.3%
Other values (16) 211
31.5%
Uppercase Letter
ValueCountFrequency (%)
T 10
25.0%
I 4
 
10.0%
S 4
 
10.0%
B 3
 
7.5%
R 3
 
7.5%
Q 3
 
7.5%
G 2
 
5.0%
V 2
 
5.0%
H 1
 
2.5%
K 1
 
2.5%
Other values (7) 7
17.5%
Decimal Number
ValueCountFrequency (%)
9 20
18.0%
0 18
16.2%
1 13
11.7%
4 11
9.9%
8 11
9.9%
2 9
8.1%
7 8
 
7.2%
6 8
 
7.2%
5 8
 
7.2%
3 5
 
4.5%
Other Punctuation
ValueCountFrequency (%)
/ 95
54.0%
. 39
22.2%
: 24
 
13.6%
& 14
 
8.0%
? 4
 
2.3%
Math Symbol
ValueCountFrequency (%)
= 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 709
69.5%
Common 311
30.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 81
 
11.4%
o 71
 
10.0%
e 65
 
9.2%
n 40
 
5.6%
m 37
 
5.2%
f 36
 
5.1%
p 35
 
4.9%
r 32
 
4.5%
h 32
 
4.5%
c 29
 
4.1%
Other values (33) 251
35.4%
Common
ValueCountFrequency (%)
/ 95
30.5%
. 39
12.5%
: 24
 
7.7%
9 20
 
6.4%
0 18
 
5.8%
= 17
 
5.5%
& 14
 
4.5%
1 13
 
4.2%
4 11
 
3.5%
8 11
 
3.5%
Other values (8) 49
15.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1020
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 95
 
9.3%
t 81
 
7.9%
o 71
 
7.0%
e 65
 
6.4%
n 40
 
3.9%
. 39
 
3.8%
m 37
 
3.6%
f 36
 
3.5%
p 35
 
3.4%
r 32
 
3.1%
Other values (51) 489
47.9%

분류명
Categorical

Distinct10
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Memory size364.0 B
스타트업(창업)ㆍ기업가정신
14 
진로ㆍNCSㆍ취업전략ㆍ어학
4 
IT·SW·프로그래밍
2 
4차산업·빅데이터·IoT
2 
건축·가구·인테리어
2 
Other values (5)
5 

Length

Max length14
Median length14
Mean length12.827586
Min length8

Unique

Unique5 ?
Unique (%)17.2%

Sample

1st row스타트업(창업)ㆍ기업가정신
2nd row복지·보건·의료
3rd rowIT·SW·프로그래밍
4th row진로ㆍNCSㆍ취업전략ㆍ어학
5th row광고·디자인·영상

Common Values

ValueCountFrequency (%)
스타트업(창업)ㆍ기업가정신 14
48.3%
진로ㆍNCSㆍ취업전략ㆍ어학 4
 
13.8%
IT·SW·프로그래밍 2
 
6.9%
4차산업·빅데이터·IoT 2
 
6.9%
건축·가구·인테리어 2
 
6.9%
복지·보건·의료 1
 
3.4%
광고·디자인·영상 1
 
3.4%
금융·투자·펀딩·부동산 1
 
3.4%
국제·무역·관세·법률 1
 
3.4%
기계·금형·용접·정비 1
 
3.4%

Length

2023-12-10T22:54:11.023054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:54:11.251562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
스타트업(창업)ㆍ기업가정신 14
48.3%
진로ㆍncsㆍ취업전략ㆍ어학 4
 
13.8%
it·sw·프로그래밍 2
 
6.9%
4차산업·빅데이터·iot 2
 
6.9%
건축·가구·인테리어 2
 
6.9%
복지·보건·의료 1
 
3.4%
광고·디자인·영상 1
 
3.4%
금융·투자·펀딩·부동산 1
 
3.4%
국제·무역·관세·법률 1
 
3.4%
기계·금형·용접·정비 1
 
3.4%

신분류명
Categorical

Distinct9
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
스타트업(창업)ㆍ기업가정신
14 
진로ㆍNCSㆍ취업전략ㆍ어학
5 
IT·SW·프로그래밍
2 
4차산업·빅데이터·IoT
2 
건축·가구·인테리어
2 
Other values (4)
4 

Length

Max length14
Median length14
Mean length12.862069
Min length8

Unique

Unique4 ?
Unique (%)13.8%

Sample

1st row스타트업(창업)ㆍ기업가정신
2nd row복지·보건·의료
3rd rowIT·SW·프로그래밍
4th row진로ㆍNCSㆍ취업전략ㆍ어학
5th row광고·디자인·영상

Common Values

ValueCountFrequency (%)
스타트업(창업)ㆍ기업가정신 14
48.3%
진로ㆍNCSㆍ취업전략ㆍ어학 5
 
17.2%
IT·SW·프로그래밍 2
 
6.9%
4차산업·빅데이터·IoT 2
 
6.9%
건축·가구·인테리어 2
 
6.9%
복지·보건·의료 1
 
3.4%
광고·디자인·영상 1
 
3.4%
국제·무역·관세·법률 1
 
3.4%
기계·금형·용접·정비 1
 
3.4%

Length

2023-12-10T22:54:11.536185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:54:11.735222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
스타트업(창업)ㆍ기업가정신 14
48.3%
진로ㆍncsㆍ취업전략ㆍ어학 5
 
17.2%
it·sw·프로그래밍 2
 
6.9%
4차산업·빅데이터·iot 2
 
6.9%
건축·가구·인테리어 2
 
6.9%
복지·보건·의료 1
 
3.4%
광고·디자인·영상 1
 
3.4%
국제·무역·관세·법률 1
 
3.4%
기계·금형·용접·정비 1
 
3.4%

신목적명
Categorical

Distinct5
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
실무향상
12 
취업
7 
취미·교양
5 
창업
4 
자격증
 
1

Length

Max length5
Median length4
Mean length3.3793103
Min length2

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row취미·교양
2nd row취미·교양
3rd row취업
4th row취업
5th row취업

Common Values

ValueCountFrequency (%)
실무향상 12
41.4%
취업 7
24.1%
취미·교양 5
17.2%
창업 4
 
13.8%
자격증 1
 
3.4%

Length

2023-12-10T22:54:11.973033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:54:12.155368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실무향상 12
41.4%
취업 7
24.1%
취미·교양 5
17.2%
창업 4
 
13.8%
자격증 1
 
3.4%

신형태명
Categorical

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
특강·세미나·컨퍼런스
22 
교육
6 
상담·컨설팅·멘토링
 
1

Length

Max length11
Median length11
Mean length9.1034483
Min length2

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row특강·세미나·컨퍼런스
2nd row특강·세미나·컨퍼런스
3rd row교육
4th row특강·세미나·컨퍼런스
5th row교육

Common Values

ValueCountFrequency (%)
특강·세미나·컨퍼런스 22
75.9%
교육 6
 
20.7%
상담·컨설팅·멘토링 1
 
3.4%

Length

2023-12-10T22:54:12.387810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:54:12.565317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
특강·세미나·컨퍼런스 22
75.9%
교육 6
 
20.7%
상담·컨설팅·멘토링 1
 
3.4%

교육기간명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing28
Missing (%)96.6%
Memory size364.0 B
2023-12-10T22:54:12.722675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
Distinct characters4
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row1일이내
ValueCountFrequency (%)
1일이내 1
100.0%
2023-12-10T22:54:13.451822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1
25.0%
일 1
25.0%
이 1
25.0%
내 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
75.0%
Decimal Number 1
 
25.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 1
33.3%
이 1
33.3%
내 1
33.3%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
75.0%
Common 1
 
25.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 1
33.3%
이 1
33.3%
내 1
33.3%
Common
ValueCountFrequency (%)
1 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
75.0%
ASCII 1
 
25.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1
100.0%
Hangul
ValueCountFrequency (%)
일 1
33.3%
이 1
33.3%
내 1
33.3%

훈련비용명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing28
Missing (%)96.6%
Memory size364.0 B
2023-12-10T22:54:13.606413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row유료
ValueCountFrequency (%)
유료 1
100.0%
2023-12-10T22:54:13.976951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 1
50.0%
료 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 1
50.0%
료 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 1
50.0%
료 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 1
50.0%
료 1
50.0%

국가직무능력표준대분류명
Text

MISSING 

Distinct8
Distinct (%)61.5%
Missing16
Missing (%)55.2%
Memory size364.0 B
2023-12-10T22:54:14.338043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length4
Mean length5.3076923
Min length2

Characters and Unicode

Total characters69
Distinct characters39
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)38.5%

Sample

1st row사업관리
2nd row이용·숙박·여행·오락·스포츠
3rd row정보통신
4th row문화·예술·디자인·방송
5th row정보통신
ValueCountFrequency (%)
정보통신 4
30.8%
사업관리 2
15.4%
건설 2
15.4%
이용·숙박·여행·오락·스포츠 1
 
7.7%
문화·예술·디자인·방송 1
 
7.7%
경영·회계·사무 1
 
7.7%
영업판매 1
 
7.7%
기계 1
 
7.7%
2023-12-10T22:54:15.075567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
· 9
 
13.0%
신 4
 
5.8%
보 4
 
5.8%
정 4
 
5.8%
통 4
 
5.8%
사 3
 
4.3%
업 3
 
4.3%
설 2
 
2.9%
영 2
 
2.9%
계 2
 
2.9%
Other values (29) 32
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60
87.0%
Other Punctuation 9
 
13.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
신 4
 
6.7%
보 4
 
6.7%
정 4
 
6.7%
통 4
 
6.7%
사 3
 
5.0%
업 3
 
5.0%
설 2
 
3.3%
영 2
 
3.3%
계 2
 
3.3%
건 2
 
3.3%
Other values (28) 30
50.0%
Other Punctuation
ValueCountFrequency (%)
· 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60
87.0%
Common 9
 
13.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
신 4
 
6.7%
보 4
 
6.7%
정 4
 
6.7%
통 4
 
6.7%
사 3
 
5.0%
업 3
 
5.0%
설 2
 
3.3%
영 2
 
3.3%
계 2
 
3.3%
건 2
 
3.3%
Other values (28) 30
50.0%
Common
ValueCountFrequency (%)
· 9
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60
87.0%
None 9
 
13.0%

Most frequent character per block

None
ValueCountFrequency (%)
· 9
100.0%
Hangul
ValueCountFrequency (%)
신 4
 
6.7%
보 4
 
6.7%
정 4
 
6.7%
통 4
 
6.7%
사 3
 
5.0%
업 3
 
5.0%
설 2
 
3.3%
영 2
 
3.3%
계 2
 
3.3%
건 2
 
3.3%
Other values (28) 30
50.0%

국가직무능력표준중분류명
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing24
Missing (%)82.8%
Memory size364.0 B
2023-12-10T22:54:15.389084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.8
Min length2

Characters and Unicode

Total characters14
Distinct characters14
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row스포츠
2nd row디자인
3rd row건축
4th row기획사무
5th row영업
ValueCountFrequency (%)
스포츠 1
20.0%
디자인 1
20.0%
건축 1
20.0%
기획사무 1
20.0%
영업 1
20.0%
2023-12-10T22:54:15.918485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 1
 
7.1%
포 1
 
7.1%
츠 1
 
7.1%
디 1
 
7.1%
자 1
 
7.1%
인 1
 
7.1%
건 1
 
7.1%
축 1
 
7.1%
기 1
 
7.1%
획 1
 
7.1%
Other values (4) 4
28.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 1
 
7.1%
포 1
 
7.1%
츠 1
 
7.1%
디 1
 
7.1%
자 1
 
7.1%
인 1
 
7.1%
건 1
 
7.1%
축 1
 
7.1%
기 1
 
7.1%
획 1
 
7.1%
Other values (4) 4
28.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 1
 
7.1%
포 1
 
7.1%
츠 1
 
7.1%
디 1
 
7.1%
자 1
 
7.1%
인 1
 
7.1%
건 1
 
7.1%
축 1
 
7.1%
기 1
 
7.1%
획 1
 
7.1%
Other values (4) 4
28.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 1
 
7.1%
포 1
 
7.1%
츠 1
 
7.1%
디 1
 
7.1%
자 1
 
7.1%
인 1
 
7.1%
건 1
 
7.1%
축 1
 
7.1%
기 1
 
7.1%
획 1
 
7.1%
Other values (4) 4
28.6%

국가직무능력표준소분류명
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing24
Missing (%)82.8%
Memory size364.0 B
2023-12-10T22:54:16.169878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length5.6
Min length3

Characters and Unicode

Total characters28
Distinct characters26
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row스포츠경기·지도
2nd row디자인
3rd row건축설계·감리
4th row마케팅
5th row일반·해외영업
ValueCountFrequency (%)
스포츠경기·지도 1
20.0%
디자인 1
20.0%
건축설계·감리 1
20.0%
마케팅 1
20.0%
일반·해외영업 1
20.0%
2023-12-10T22:54:16.652883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
· 3
 
10.7%
스 1
 
3.6%
계 1
 
3.6%
영 1
 
3.6%
외 1
 
3.6%
해 1
 
3.6%
반 1
 
3.6%
일 1
 
3.6%
팅 1
 
3.6%
케 1
 
3.6%
Other values (16) 16
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25
89.3%
Other Punctuation 3
 
10.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 1
 
4.0%
계 1
 
4.0%
영 1
 
4.0%
외 1
 
4.0%
해 1
 
4.0%
반 1
 
4.0%
일 1
 
4.0%
팅 1
 
4.0%
케 1
 
4.0%
마 1
 
4.0%
Other values (15) 15
60.0%
Other Punctuation
ValueCountFrequency (%)
· 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25
89.3%
Common 3
 
10.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 1
 
4.0%
계 1
 
4.0%
영 1
 
4.0%
외 1
 
4.0%
해 1
 
4.0%
반 1
 
4.0%
일 1
 
4.0%
팅 1
 
4.0%
케 1
 
4.0%
마 1
 
4.0%
Other values (15) 15
60.0%
Common
ValueCountFrequency (%)
· 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25
89.3%
None 3
 
10.7%

Most frequent character per block

None
ValueCountFrequency (%)
· 3
100.0%
Hangul
ValueCountFrequency (%)
스 1
 
4.0%
계 1
 
4.0%
영 1
 
4.0%
외 1
 
4.0%
해 1
 
4.0%
반 1
 
4.0%
일 1
 
4.0%
팅 1
 
4.0%
케 1
 
4.0%
마 1
 
4.0%
Other values (15) 15
60.0%

국가직무능력표준상세분류명
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing26
Missing (%)89.7%
Memory size364.0 B
2023-12-10T22:54:16.933640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5
Min length4

Characters and Unicode

Total characters15
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row건강운동관리
2nd row제품디자인
3rd row해외영업
ValueCountFrequency (%)
건강운동관리 1
33.3%
제품디자인 1
33.3%
해외영업 1
33.3%
2023-12-10T22:54:17.491500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
건 1
 
6.7%
강 1
 
6.7%
운 1
 
6.7%
동 1
 
6.7%
관 1
 
6.7%
리 1
 
6.7%
제 1
 
6.7%
품 1
 
6.7%
디 1
 
6.7%
자 1
 
6.7%
Other values (5) 5
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 1
 
6.7%
강 1
 
6.7%
운 1
 
6.7%
동 1
 
6.7%
관 1
 
6.7%
리 1
 
6.7%
제 1
 
6.7%
품 1
 
6.7%
디 1
 
6.7%
자 1
 
6.7%
Other values (5) 5
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
건 1
 
6.7%
강 1
 
6.7%
운 1
 
6.7%
동 1
 
6.7%
관 1
 
6.7%
리 1
 
6.7%
제 1
 
6.7%
품 1
 
6.7%
디 1
 
6.7%
자 1
 
6.7%
Other values (5) 5
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
건 1
 
6.7%
강 1
 
6.7%
운 1
 
6.7%
동 1
 
6.7%
관 1
 
6.7%
리 1
 
6.7%
제 1
 
6.7%
품 1
 
6.7%
디 1
 
6.7%
자 1
 
6.7%
Other values (5) 5
33.3%

한국고용직업분류대분류명
Text

MISSING 

Distinct6
Distinct (%)54.5%
Missing18
Missing (%)62.1%
Memory size364.0 B
2023-12-10T22:54:17.758338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length9.7272727
Min length5

Characters and Unicode

Total characters107
Distinct characters38
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)27.3%

Sample

1st row경영;회계;사무관련직
2nd row미용;숙박;여행;오락;스포츠관련직
3rd row정보통신 관련직
4th row문화;예술;디자인 방송관련직
5th row건설 관련직
ValueCountFrequency (%)
관련직 5
29.4%
경영;회계;사무관련직 3
17.6%
정보통신 3
17.6%
건설 2
 
11.8%
미용;숙박;여행;오락;스포츠관련직 1
 
5.9%
문화;예술;디자인 1
 
5.9%
방송관련직 1
 
5.9%
기계관련직 1
 
5.9%
2023-12-10T22:54:18.268916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
; 12
 
11.2%
관 11
 
10.3%
련 11
 
10.3%
직 11
 
10.3%
6
 
5.6%
계 4
 
3.7%
경 3
 
2.8%
보 3
 
2.8%
영 3
 
2.8%
통 3
 
2.8%
Other values (28) 40
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 89
83.2%
Other Punctuation 12
 
11.2%
Space Separator 6
 
5.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 11
 
12.4%
련 11
 
12.4%
직 11
 
12.4%
계 4
 
4.5%
경 3
 
3.4%
보 3
 
3.4%
영 3
 
3.4%
통 3
 
3.4%
신 3
 
3.4%
정 3
 
3.4%
Other values (26) 34
38.2%
Other Punctuation
ValueCountFrequency (%)
; 12
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 89
83.2%
Common 18
 
16.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 11
 
12.4%
련 11
 
12.4%
직 11
 
12.4%
계 4
 
4.5%
경 3
 
3.4%
보 3
 
3.4%
영 3
 
3.4%
통 3
 
3.4%
신 3
 
3.4%
정 3
 
3.4%
Other values (26) 34
38.2%
Common
ValueCountFrequency (%)
; 12
66.7%
6
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 89
83.2%
ASCII 18
 
16.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
; 12
66.7%
6
33.3%
Hangul
ValueCountFrequency (%)
관 11
 
12.4%
련 11
 
12.4%
직 11
 
12.4%
계 4
 
4.5%
경 3
 
3.4%
보 3
 
3.4%
영 3
 
3.4%
통 3
 
3.4%
신 3
 
3.4%
정 3
 
3.4%
Other values (26) 34
38.2%

한국고용직업분류중분류명
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing25
Missing (%)86.2%
Memory size364.0 B
2023-12-10T22:54:18.678365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length12
Min length4

Characters and Unicode

Total characters48
Distinct characters33
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st row스포츠 및 레크레이션 관련 종사자
2nd row디자이너
3rd row소프트웨어 개발 전문가
4th row컴퓨터 시스템 설계 전문가
ValueCountFrequency (%)
전문가 2
15.4%
스포츠 1
7.7%
및 1
7.7%
레크레이션 1
7.7%
관련 1
7.7%
종사자 1
7.7%
디자이너 1
7.7%
소프트웨어 1
7.7%
개발 1
7.7%
컴퓨터 1
7.7%
Other values (2) 2
15.4%
2023-12-10T22:54:19.405567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9
 
18.8%
스 2
 
4.2%
가 2
 
4.2%
레 2
 
4.2%
전 2
 
4.2%
이 2
 
4.2%
자 2
 
4.2%
문 2
 
4.2%
개 1
 
2.1%
발 1
 
2.1%
Other values (23) 23
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 39
81.2%
Space Separator 9
 
18.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 2
 
5.1%
가 2
 
5.1%
레 2
 
5.1%
전 2
 
5.1%
이 2
 
5.1%
자 2
 
5.1%
문 2
 
5.1%
개 1
 
2.6%
발 1
 
2.6%
퓨 1
 
2.6%
Other values (22) 22
56.4%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 39
81.2%
Common 9
 
18.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 2
 
5.1%
가 2
 
5.1%
레 2
 
5.1%
전 2
 
5.1%
이 2
 
5.1%
자 2
 
5.1%
문 2
 
5.1%
개 1
 
2.6%
발 1
 
2.6%
퓨 1
 
2.6%
Other values (22) 22
56.4%
Common
ValueCountFrequency (%)
9
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 39
81.2%
ASCII 9
 
18.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9
100.0%
Hangul
ValueCountFrequency (%)
스 2
 
5.1%
가 2
 
5.1%
레 2
 
5.1%
전 2
 
5.1%
이 2
 
5.1%
자 2
 
5.1%
문 2
 
5.1%
개 1
 
2.6%
발 1
 
2.6%
퓨 1
 
2.6%
Other values (22) 22
56.4%

한국고용직업분류소분류명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing28
Missing (%)96.6%
Memory size364.0 B
2023-12-10T22:54:19.670720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
Distinct characters4
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row 캐드원
ValueCountFrequency (%)
캐드원 1
100.0%
2023-12-10T22:54:20.036702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
25.0%
캐 1
25.0%
드 1
25.0%
원 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
75.0%
Space Separator 1
 
25.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
캐 1
33.3%
드 1
33.3%
원 1
33.3%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
75.0%
Common 1
 
25.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
캐 1
33.3%
드 1
33.3%
원 1
33.3%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
75.0%
ASCII 1
 
25.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1
100.0%
Hangul
ValueCountFrequency (%)
캐 1
33.3%
드 1
33.3%
원 1
33.3%

한국고용직업분류상세분류명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

태그명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T22:54:20.412206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length27
Mean length21.275862
Min length7

Characters and Unicode

Total characters617
Distinct characters187
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row#스타트업#경기콘텐츠진흥원#투자유치#인도네시아#동남아시아
2nd row#세미나#FITT#선수재활
3rd row#유니티#Unity3D#게임#서버#photon
4th row#취업강의#수원#영통역#현대자동차그룹#모이자
5th row# 교육#3D#프린팅#기술
ValueCountFrequency (%)
창업 3
 
5.7%
세미나 3
 
5.7%
강연 2
 
3.8%
스타트업#경기콘텐츠진흥원#투자유치#인도네시아#동남아시아 1
 
1.9%
스타트업#창업#투자 1
 
1.9%
게임개발 1
 
1.9%
지역사회 1
 
1.9%
청년창업지원 1
 
1.9%
포럼 1
 
1.9%
3d프린팅 1
 
1.9%
Other values (38) 38
71.7%
2023-12-10T22:54:20.992901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
# 112
 
18.2%
업 29
 
4.7%
26
 
4.2%
창 13
 
2.1%
스 12
 
1.9%
트 10
 
1.6%
미 10
 
1.6%
기 9
 
1.5%
이 9
 
1.5%
리 8
 
1.3%
Other values (177) 379
61.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 413
66.9%
Other Punctuation 112
 
18.2%
Lowercase Letter 39
 
6.3%
Space Separator 26
 
4.2%
Uppercase Letter 21
 
3.4%
Decimal Number 6
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 29
 
7.0%
창 13
 
3.1%
스 12
 
2.9%
트 10
 
2.4%
미 10
 
2.4%
기 9
 
2.2%
이 9
 
2.2%
리 8
 
1.9%
타 8
 
1.9%
임 7
 
1.7%
Other values (145) 298
72.2%
Lowercase Letter
ValueCountFrequency (%)
o 7
17.9%
e 4
10.3%
r 3
 
7.7%
p 3
 
7.7%
n 3
 
7.7%
m 2
 
5.1%
a 2
 
5.1%
s 2
 
5.1%
t 2
 
5.1%
l 2
 
5.1%
Other values (8) 9
23.1%
Uppercase Letter
ValueCountFrequency (%)
D 4
19.0%
F 3
14.3%
T 3
14.3%
G 2
9.5%
S 2
9.5%
A 2
9.5%
U 2
9.5%
I 1
 
4.8%
O 1
 
4.8%
C 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
4 3
50.0%
3 3
50.0%
Other Punctuation
ValueCountFrequency (%)
# 112
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 413
66.9%
Common 144
 
23.3%
Latin 60
 
9.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 29
 
7.0%
창 13
 
3.1%
스 12
 
2.9%
트 10
 
2.4%
미 10
 
2.4%
기 9
 
2.2%
이 9
 
2.2%
리 8
 
1.9%
타 8
 
1.9%
임 7
 
1.7%
Other values (145) 298
72.2%
Latin
ValueCountFrequency (%)
o 7
 
11.7%
D 4
 
6.7%
e 4
 
6.7%
F 3
 
5.0%
r 3
 
5.0%
T 3
 
5.0%
p 3
 
5.0%
n 3
 
5.0%
m 2
 
3.3%
G 2
 
3.3%
Other values (18) 26
43.3%
Common
ValueCountFrequency (%)
# 112
77.8%
26
 
18.1%
4 3
 
2.1%
3 3
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 413
66.9%
ASCII 204
33.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
# 112
54.9%
26
 
12.7%
o 7
 
3.4%
D 4
 
2.0%
e 4
 
2.0%
F 3
 
1.5%
4 3
 
1.5%
r 3
 
1.5%
T 3
 
1.5%
3 3
 
1.5%
Other values (22) 36
 
17.6%
Hangul
ValueCountFrequency (%)
업 29
 
7.0%
창 13
 
3.1%
스 12
 
2.9%
트 10
 
2.4%
미 10
 
2.4%
기 9
 
2.2%
이 9
 
2.2%
리 8
 
1.9%
타 8
 
1.9%
임 7
 
1.7%
Other values (145) 298
72.2%

중요도구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

정책사이트URL
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

교육내용
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T22:54:21.530321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length599
Median length375
Mean length375.89655
Min length258

Characters and Unicode

Total characters10901
Distinct characters392
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st rowㅇ 접수기간 : 2017년 3월 31일 17시 ~ 4월 14일 11시30분||ㅇ 행사일정&nbsp;: 2017년 4월 14일 14시~ 17시||ㅇ 접수방법 : 온라인접수 (http://onoffmix.com/event/96180)||ㅇ 장소 : 경기창조경제혁신센터 7층 세미나실&nbsp;||ㅇ 내용 : 동남아시아 스타트업 시장 세미나 등&nbsp;||ㅇ 주최 / 주관 : 경기콘텐츠진흥원||ㅇ 문의처 : nexeedmentoring2017@gmail.com||ㅇ 자세히 보러가기 :&nbsp;클릭&nbsp;(http://onoffmix.com/event/96180)|
2nd rowㅇ 접수기간 : 2017년 3월 24일 19시 ~ 5월 11일 15시30분||ㅇ 행사일정 : 2017년 5월 14일 10시 ~ 18시||ㅇ 접수방법 : 온라인접수 (http://onoffmix.com/event/95475)||ㅇ 장소 : 스타트업캠퍼스 1층 컨퍼런스홈||ㅇ 내용 :&nbsp;|&nbsp;- &nbsp;선수트레이닝에 필요한 기본적인 기능해부학 및 운동역학||&nbsp;- &nbsp;어깨 충동증후군의 손상평가 및 재활 등||ㅇ 문의처 : 주식회사 피트 010-9662-9177&nbsp;||ㅇ 자세히 보러가기 :&nbsp;클릭&nbsp;(http://onoffmix.com/event/95475)|
3rd rowㅇ 행사일정 : 2017년 4월 26일 19시30분 ~ 21시30분&nbsp;||ㅇ 접수방법 : 온라인접수(http://onoffmix.com/event/95779)||ㅇ 장소 : 경기창조경제혁신센터 1층 기가홀||ㅇ 내용 :&nbsp;|&nbsp;- photon 소개||&nbsp;-Unity를 사용한 개발실습 등||ㅇ 주최 / 주관 : Photon 운영국 / Ncloud24; 가천대학교 게임대학원||ㅇ 자세히 보러가기 :&nbsp;클릭&nbsp;http://onoffmix.com/event/95779|
4th rowㅇ 접수기간 : 2017년&nbsp;3월 30일 22시30분 ~ 4월 21일 18시30분||ㅇ 행사일정 :&nbsp;2017년 4월 21일 19시 ~ 21시||ㅇ 접수방법 : 온라인접수(http://onoffmix.com/event/96061)&nbsp;||ㅇ 장소 : 모이자 수원본점||ㅇ 내용 :&nbsp;합격 자소서 대비 취업특강||ㅇ 주최 / 주관 :&nbsp;모이자 수원본점||ㅇ 문의처 :&nbsp;카카오톡 business05&nbsp;||ㅇ 자세히 보러가기 :&nbsp;클릭&nbsp;(http://onoffmix.com/event/96061)|
5th rowㅇ 접수기간 : 2017년&nbsp;3월 27일 15시&nbsp;~ 4월 25일&nbsp;9시||ㅇ 행사일정 : 2017년&nbsp;4월 25일 ~ 4월 28일 / 9시 30분&nbsp;17시 30분||ㅇ 접수방법 :&nbsp;온라인접수(http://onoffmix.com/event/95634)||ㅇ 장소 :&nbsp;경기테크노파크 RIT 센터 202호||ㅇ 내용 : INVENTOR 활용 제품 3D 모델링하기||ㅇ 주최 / 주관 :&nbsp;경기테크노파크||ㅇ 문의처 : 경기테크노파크 무한상상실 031-500-3031||ㅇ 자세히 보러가기 :&nbsp;클릭&nbsp;(http://onoffmix.com/event/95634)|
ValueCountFrequency (%)
244
 
15.7%
2017년 39
 
2.5%
ㅇ 29
 
1.9%
접수방법 29
 
1.9%
4월 29
 
1.9%
내용 29
 
1.9%
접수기간 28
 
1.8%
보러가기 27
 
1.7%
자세히 27
 
1.7%
장소 27
 
1.7%
Other values (606) 1046
67.3%
2023-12-10T22:54:22.195428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1525
 
14.0%
| 508
 
4.7%
n 344
 
3.2%
p 311
 
2.9%
; 279
 
2.6%
: 270
 
2.5%
/ 264
 
2.4%
1 253
 
2.3%
s 246
 
2.3%
& 242
 
2.2%
Other values (382) 6659
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3516
32.3%
Lowercase Letter 2421
22.2%
Space Separator 1525
14.0%
Decimal Number 1329
 
12.2%
Other Punctuation 1164
 
10.7%
Math Symbol 594
 
5.4%
Uppercase Letter 120
 
1.1%
Dash Punctuation 93
 
0.9%
Close Punctuation 69
 
0.6%
Open Punctuation 68
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ㅇ 216
 
6.1%
시 139
 
4.0%
일 137
 
3.9%
기 134
 
3.8%
월 95
 
2.7%
수 90
 
2.6%
접 85
 
2.4%
경 76
 
2.2%
년 60
 
1.7%
주 56
 
1.6%
Other values (311) 2428
69.1%
Lowercase Letter
ValueCountFrequency (%)
n 344
14.2%
p 311
12.8%
s 246
10.2%
b 232
9.6%
o 183
 
7.6%
t 177
 
7.3%
e 141
 
5.8%
m 131
 
5.4%
f 96
 
4.0%
i 74
 
3.1%
Other values (15) 486
20.1%
Uppercase Letter
ValueCountFrequency (%)
T 21
17.5%
I 13
10.8%
A 11
9.2%
B 10
8.3%
D 8
 
6.7%
C 8
 
6.7%
S 7
 
5.8%
N 7
 
5.8%
E 6
 
5.0%
R 5
 
4.2%
Other values (10) 24
20.0%
Decimal Number
ValueCountFrequency (%)
1 253
19.0%
0 214
16.1%
2 189
14.2%
3 138
10.4%
7 132
9.9%
4 100
 
7.5%
9 92
 
6.9%
5 82
 
6.2%
8 67
 
5.0%
6 62
 
4.7%
Other Punctuation
ValueCountFrequency (%)
; 279
24.0%
: 270
23.2%
/ 264
22.7%
& 242
20.8%
. 82
 
7.0%
% 12
 
1.0%
@ 9
 
0.8%
? 6
 
0.5%
Math Symbol
ValueCountFrequency (%)
| 508
85.5%
~ 63
 
10.6%
= 23
 
3.9%
Space Separator
ValueCountFrequency (%)
1525
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 93
100.0%
Close Punctuation
ValueCountFrequency (%)
) 69
100.0%
Open Punctuation
ValueCountFrequency (%)
( 68
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4844
44.4%
Hangul 3516
32.3%
Latin 2541
23.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
ㅇ 216
 
6.1%
시 139
 
4.0%
일 137
 
3.9%
기 134
 
3.8%
월 95
 
2.7%
수 90
 
2.6%
접 85
 
2.4%
경 76
 
2.2%
년 60
 
1.7%
주 56
 
1.6%
Other values (311) 2428
69.1%
Latin
ValueCountFrequency (%)
n 344
13.5%
p 311
12.2%
s 246
9.7%
b 232
 
9.1%
o 183
 
7.2%
t 177
 
7.0%
e 141
 
5.5%
m 131
 
5.2%
f 96
 
3.8%
i 74
 
2.9%
Other values (35) 606
23.8%
Common
ValueCountFrequency (%)
1525
31.5%
| 508
 
10.5%
; 279
 
5.8%
: 270
 
5.6%
/ 264
 
5.5%
1 253
 
5.2%
& 242
 
5.0%
0 214
 
4.4%
2 189
 
3.9%
3 138
 
2.8%
Other values (16) 962
19.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7385
67.7%
Hangul 3296
30.2%
Compat Jamo 220
 
2.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1525
20.6%
| 508
 
6.9%
n 344
 
4.7%
p 311
 
4.2%
; 279
 
3.8%
: 270
 
3.7%
/ 264
 
3.6%
1 253
 
3.4%
s 246
 
3.3%
& 242
 
3.3%
Other values (61) 3143
42.6%
Compat Jamo
ValueCountFrequency (%)
ㅇ 216
98.2%
ㅤ 1
 
0.5%
ㅅ 1
 
0.5%
ㅓ 1
 
0.5%
ㄾ 1
 
0.5%
Hangul
ValueCountFrequency (%)
시 139
 
4.2%
일 137
 
4.2%
기 134
 
4.1%
월 95
 
2.9%
수 90
 
2.7%
접 85
 
2.6%
경 76
 
2.3%
년 60
 
1.8%
주 56
 
1.7%
분 55
 
1.7%
Other values (306) 2369
71.9%

조회수
Real number (ℝ)

Distinct27
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean234.03448
Minimum18
Maximum2783
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T22:54:22.417985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile29.8
Q162
median87
Q3202
95-th percentile602.2
Maximum2783
Range2765
Interquartile range (IQR)140

Descriptive statistics

Standard deviation512.95701
Coefficient of variation (CV)2.191801
Kurtosis23.71707
Mean234.03448
Median Absolute Deviation (MAD)50
Skewness4.734716
Sum6787
Variance263124.89
MonotonicityNot monotonic
2023-12-10T22:54:22.638981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
62 2
 
6.9%
73 2
 
6.9%
292 1
 
3.4%
809 1
 
3.4%
218 1
 
3.4%
274 1
 
3.4%
48 1
 
3.4%
95 1
 
3.4%
277 1
 
3.4%
67 1
 
3.4%
Other values (17) 17
58.6%
ValueCountFrequency (%)
18 1
3.4%
25 1
3.4%
37 1
3.4%
42 1
3.4%
48 1
3.4%
59 1
3.4%
60 1
3.4%
62 2
6.9%
65 1
3.4%
67 1
3.4%
ValueCountFrequency (%)
2783 1
3.4%
809 1
3.4%
292 1
3.4%
277 1
3.4%
274 1
3.4%
234 1
3.4%
218 1
3.4%
202 1
3.4%
167 1
3.4%
165 1
3.4%

관심수
Categorical

Distinct4
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
0
20 
2
5 
1
3 
9
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 20
69.0%
2 5
 
17.2%
1 3
 
10.3%
9 1
 
3.4%

Length

2023-12-10T22:54:22.848467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:54:23.022882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 20
69.0%
2 5
 
17.2%
1 3
 
10.3%
9 1
 
3.4%

공유수
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
0
29 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29
100.0%

Length

2023-12-10T22:54:23.211747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:54:23.365556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
100.0%

차수년도
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
28 
2017
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 28
96.6%
2017 1
 
3.4%

Length

2023-12-10T22:54:23.521730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:54:23.671710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
96.6%
2017 1
 
3.4%

차수월
Categorical

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
1
24 
<NA>
5 

Length

Max length4
Median length1
Mean length1.5172414
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row<NA>
3rd row<NA>
4th row1
5th row<NA>

Common Values

ValueCountFrequency (%)
1 24
82.8%
<NA> 5
 
17.2%

Length

2023-12-10T22:54:23.859668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:54:24.016488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 24
82.8%
na 5
 
17.2%

차수일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

차수명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

신청시작일자
Date

Distinct26
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2017-01-13 00:00:00
Maximum2017-05-10 00:00:00
2023-12-10T22:54:24.279052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:54:24.511682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

신청시작시각
Date

MISSING 

Distinct6
Distinct (%)100.0%
Missing23
Missing (%)79.3%
Memory size364.0 B
Minimum2023-12-10 12:00:00
Maximum2023-12-10 22:30:00
2023-12-10T22:54:24.726337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:54:24.995498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

신청종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

신청종료시각
Date

MISSING 

Distinct8
Distinct (%)57.1%
Missing15
Missing (%)51.7%
Memory size364.0 B
Minimum2023-12-10 09:00:00
Maximum2023-12-10 23:30:00
2023-12-10T22:54:25.233876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:54:25.398015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

결과발표일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

교육시작일자
Date

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2017-01-24 00:00:00
Maximum2017-07-10 00:00:00
2023-12-10T22:54:25.632864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:54:25.872496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

교육시작시간
Date

MISSING 

Distinct8
Distinct (%)61.5%
Missing16
Missing (%)55.2%
Memory size364.0 B
Minimum2023-12-10 09:00:00
Maximum2023-12-10 19:30:00
2023-12-10T22:54:26.058847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:54:26.272972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

교육종료일자
Date

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2017-01-24 00:00:00
Maximum2017-08-18 00:00:00
2023-12-10T22:54:26.580345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:54:26.782558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

교육종료시간
Categorical

Distinct10
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
8 
17:00
5 
18:00
4 
21:30
3 
17:30
3 
Other values (5)
6 

Length

Max length5
Median length5
Mean length4.7241379
Min length4

Unique

Unique4 ?
Unique (%)13.8%

Sample

1st row17:00
2nd row18:00
3rd row21:30
4th row21:00
5th row17:30

Common Values

ValueCountFrequency (%)
<NA> 8
27.6%
17:00 5
17.2%
18:00 4
13.8%
21:30 3
 
10.3%
17:30 3
 
10.3%
21:00 2
 
6.9%
16:30 1
 
3.4%
13:00 1
 
3.4%
16:00 1
 
3.4%
10:00 1
 
3.4%

Length

2023-12-10T22:54:26.992144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:54:27.179047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8
27.6%
17:00 5
17.2%
18:00 4
13.8%
21:30 3
 
10.3%
17:30 3
 
10.3%
21:00 2
 
6.9%
16:30 1
 
3.4%
13:00 1
 
3.4%
16:00 1
 
3.4%
10:00 1
 
3.4%

공간정보번호
Categorical

IMBALANCE 

Distinct4
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
0
26 
1063
 
1
146
 
1
138
 
1

Length

Max length4
Median length1
Mean length1.2413793
Min length1

Unique

Unique3 ?
Unique (%)10.3%

Sample

1st row0
2nd row1063
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 26
89.7%
1063 1
 
3.4%
146 1
 
3.4%
138 1
 
3.4%

Length

2023-12-10T22:54:27.401654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:54:27.556047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
89.7%
1063 1
 
3.4%
146 1
 
3.4%
138 1
 
3.4%

교육기관우편번호
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)42.9%
Missing1
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean14045.893
Minimum10390
Maximum22169
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T22:54:27.715308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10390
5-th percentile10390
Q113487
median13488
Q314821.5
95-th percentile16845.7
Maximum22169
Range11779
Interquartile range (IQR)1334.5

Descriptive statistics

Standard deviation2347.4416
Coefficient of variation (CV)0.16712655
Kurtosis4.5751845
Mean14045.893
Median Absolute Deviation (MAD)817
Skewness1.2215691
Sum393285
Variance5510482
MonotonicityNot monotonic
2023-12-10T22:54:27.991643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
13487 9
31.0%
15588 4
13.8%
10390 4
13.8%
14566 2
 
6.9%
13488 2
 
6.9%
16704 1
 
3.4%
16922 1
 
3.4%
14555 1
 
3.4%
13916 1
 
3.4%
14055 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
10390 4
13.8%
13487 9
31.0%
13488 2
 
6.9%
13561 1
 
3.4%
13916 1
 
3.4%
14055 1
 
3.4%
14555 1
 
3.4%
14566 2
 
6.9%
15588 4
13.8%
16704 1
 
3.4%
ValueCountFrequency (%)
22169 1
 
3.4%
16922 1
 
3.4%
16704 1
 
3.4%
15588 4
13.8%
14566 2
6.9%
14555 1
 
3.4%
14055 1
 
3.4%
13916 1
 
3.4%
13561 1
 
3.4%
13488 2
6.9%

교육기관도로명주소
Text

MISSING 

Distinct14
Distinct (%)50.0%
Missing1
Missing (%)3.4%
Memory size364.0 B
2023-12-10T22:54:28.337346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length39
Mean length34.25
Min length19

Characters and Unicode

Total characters959
Distinct characters101
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)28.6%

Sample

1st row경기 성남시 분당구 대왕판교로645번길 12 (삼평동; 경기창조경제혁신센터)
2nd row경기 성남시 분당구 대왕판교로645번길 12
3rd row경기 수원시 영통구 봉영로 1612 (영통동)
4th row경기 안산시 상록구 해안로 705 (사동; 경기테크노파크)
5th row경기 부천시 부천로136번길 27 (원미동; 원미어울마당; 경기도일자리재단)
ValueCountFrequency (%)
경기 27
 
14.4%
분당구 12
 
6.4%
성남시 12
 
6.4%
대왕판교로645번길 9
 
4.8%
12 9
 
4.8%
삼평동 9
 
4.8%
경기창조경제혁신센터 7
 
3.7%
경기테크노파크 4
 
2.1%
대화동 4
 
2.1%
킨텍스로 4
 
2.1%
Other values (52) 91
48.4%
2023-12-10T22:54:28.888648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
160
 
16.7%
경 47
 
4.9%
기 41
 
4.3%
시 28
 
2.9%
로 28
 
2.9%
동 27
 
2.8%
구 26
 
2.7%
( 25
 
2.6%
) 25
 
2.6%
2 24
 
2.5%
Other values (91) 528
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 600
62.6%
Space Separator 160
 
16.7%
Decimal Number 121
 
12.6%
Open Punctuation 25
 
2.6%
Close Punctuation 25
 
2.6%
Other Punctuation 23
 
2.4%
Dash Punctuation 5
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 47
 
7.8%
기 41
 
6.8%
시 28
 
4.7%
로 28
 
4.7%
동 27
 
4.5%
구 26
 
4.3%
대 17
 
2.8%
길 14
 
2.3%
번 14
 
2.3%
당 14
 
2.3%
Other values (76) 344
57.3%
Decimal Number
ValueCountFrequency (%)
2 24
19.8%
1 23
19.0%
6 16
13.2%
5 14
11.6%
7 12
9.9%
4 10
8.3%
0 9
 
7.4%
9 5
 
4.1%
3 4
 
3.3%
8 4
 
3.3%
Space Separator
ValueCountFrequency (%)
160
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Other Punctuation
ValueCountFrequency (%)
; 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 600
62.6%
Common 359
37.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 47
 
7.8%
기 41
 
6.8%
시 28
 
4.7%
로 28
 
4.7%
동 27
 
4.5%
구 26
 
4.3%
대 17
 
2.8%
길 14
 
2.3%
번 14
 
2.3%
당 14
 
2.3%
Other values (76) 344
57.3%
Common
ValueCountFrequency (%)
160
44.6%
( 25
 
7.0%
) 25
 
7.0%
2 24
 
6.7%
; 23
 
6.4%
1 23
 
6.4%
6 16
 
4.5%
5 14
 
3.9%
7 12
 
3.3%
4 10
 
2.8%
Other values (5) 27
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 600
62.6%
ASCII 359
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
160
44.6%
( 25
 
7.0%
) 25
 
7.0%
2 24
 
6.7%
; 23
 
6.4%
1 23
 
6.4%
6 16
 
4.5%
5 14
 
3.9%
7 12
 
3.3%
4 10
 
2.8%
Other values (5) 27
 
7.5%
Hangul
ValueCountFrequency (%)
경 47
 
7.8%
기 41
 
6.8%
시 28
 
4.7%
로 28
 
4.7%
동 27
 
4.5%
구 26
 
4.3%
대 17
 
2.8%
길 14
 
2.3%
번 14
 
2.3%
당 14
 
2.3%
Other values (76) 344
57.3%

교육기관도로명상세주소
Text

MISSING 

Distinct15
Distinct (%)88.2%
Missing12
Missing (%)41.4%
Memory size364.0 B
2023-12-10T22:54:29.195662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length13
Mean length10.176471
Min length2

Characters and Unicode

Total characters173
Distinct characters88
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)82.4%

Sample

1st row보보스프라자 306호 [모이자 수원본점]
2nd row제1전시장
3rd row판교테크노벨리내 공공지원센터 1F; 5F
4th row꿈마루
5th row기가홀1층
ValueCountFrequency (%)
7층 3
 
8.1%
1층 2
 
5.4%
그린팩토리 1
 
2.7%
4층 1
 
2.7%
hall 1
 
2.7%
7&amp;8 1
 
2.7%
a-cube(안양창조경제융합센터 1
 
2.7%
3층 1
 
2.7%
2층 1
 
2.7%
202호 1
 
2.7%
Other values (24) 24
64.9%
2023-12-10T22:54:29.732086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20
 
11.6%
층 9
 
5.2%
홀 5
 
2.9%
1 5
 
2.9%
크 5
 
2.9%
센 4
 
2.3%
터 4
 
2.3%
7 4
 
2.3%
2 4
 
2.3%
3 3
 
1.7%
Other values (78) 110
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 99
57.2%
Decimal Number 24
 
13.9%
Space Separator 20
 
11.6%
Uppercase Letter 11
 
6.4%
Lowercase Letter 11
 
6.4%
Other Punctuation 3
 
1.7%
Open Punctuation 2
 
1.2%
Close Punctuation 2
 
1.2%
Dash Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 9
 
9.1%
홀 5
 
5.1%
크 5
 
5.1%
센 4
 
4.0%
터 4
 
4.0%
노 3
 
3.0%
장 3
 
3.0%
기 3
 
3.0%
테 3
 
3.0%
파 2
 
2.0%
Other values (46) 58
58.6%
Decimal Number
ValueCountFrequency (%)
1 5
20.8%
7 4
16.7%
2 4
16.7%
3 3
12.5%
6 3
12.5%
0 2
 
8.3%
8 1
 
4.2%
5 1
 
4.2%
4 1
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
a 2
18.2%
l 2
18.2%
b 1
9.1%
e 1
9.1%
u 1
9.1%
c 1
9.1%
p 1
9.1%
m 1
9.1%
h 1
9.1%
Uppercase Letter
ValueCountFrequency (%)
T 2
18.2%
I 2
18.2%
B 2
18.2%
R 2
18.2%
F 2
18.2%
A 1
9.1%
Other Punctuation
ValueCountFrequency (%)
; 2
66.7%
& 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 1
50.0%
[ 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 1
50.0%
] 1
50.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 99
57.2%
Common 52
30.1%
Latin 22
 
12.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 9
 
9.1%
홀 5
 
5.1%
크 5
 
5.1%
센 4
 
4.0%
터 4
 
4.0%
노 3
 
3.0%
장 3
 
3.0%
기 3
 
3.0%
테 3
 
3.0%
파 2
 
2.0%
Other values (46) 58
58.6%
Common
ValueCountFrequency (%)
20
38.5%
1 5
 
9.6%
7 4
 
7.7%
2 4
 
7.7%
3 3
 
5.8%
6 3
 
5.8%
; 2
 
3.8%
0 2
 
3.8%
( 1
 
1.9%
- 1
 
1.9%
Other values (7) 7
 
13.5%
Latin
ValueCountFrequency (%)
T 2
 
9.1%
I 2
 
9.1%
a 2
 
9.1%
l 2
 
9.1%
B 2
 
9.1%
R 2
 
9.1%
F 2
 
9.1%
b 1
 
4.5%
e 1
 
4.5%
u 1
 
4.5%
Other values (5) 5
22.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 99
57.2%
ASCII 74
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20
27.0%
1 5
 
6.8%
7 4
 
5.4%
2 4
 
5.4%
3 3
 
4.1%
6 3
 
4.1%
T 2
 
2.7%
; 2
 
2.7%
I 2
 
2.7%
a 2
 
2.7%
Other values (22) 27
36.5%
Hangul
ValueCountFrequency (%)
층 9
 
9.1%
홀 5
 
5.1%
크 5
 
5.1%
센 4
 
4.0%
터 4
 
4.0%
노 3
 
3.0%
장 3
 
3.0%
기 3
 
3.0%
테 3
 
3.0%
파 2
 
2.0%
Other values (46) 58
58.6%

교육기관지번주소
Categorical

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
경기 성남시 분당구 *** ***
11 
경기 안산시 상록구 ** *******
4 
경기 고양시 일산서구 *** ****
4 
경기 부천시 원미동 **
2 
 
1
Other values (7)
7 

Length

Max length22
Median length21
Mean length18.827586
Min length1

Unique

Unique8 ?
Unique (%)27.6%

Sample

1st row경기 성남시 분당구 *** ***
2nd row경기 성남시 분당구 *** ***
3rd row
4th row경기 수원시 영통구 *** *****
5th row경기 안산시 상록구 ** *******

Common Values

ValueCountFrequency (%)
경기 성남시 분당구 *** *** 11
37.9%
경기 안산시 상록구 ** ******* 4
 
13.8%
경기 고양시 일산서구 *** **** 4
 
13.8%
경기 부천시 원미동 ** 2
 
6.9%
1
 
3.4%
경기 수원시 영통구 *** ***** 1
 
3.4%
경기 용인시 기흥구 *** *** 1
 
3.4%
경기 부천시 춘의동 ***** 1
 
3.4%
경기 안양시 동안구 *** ***** 1
 
3.4%
경기 안양시 동안구 *** **** 1
 
3.4%
Other values (2) 2
 
6.9%

Length

2023-12-10T22:54:29.952587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
52
38.2%
경기 27
19.9%
분당구 12
 
8.8%
성남시 12
 
8.8%
안산시 4
 
2.9%
상록구 4
 
2.9%
고양시 4
 
2.9%
일산서구 4
 
2.9%
부천시 3
 
2.2%
안양시 2
 
1.5%
Other values (10) 12
 
8.8%

교육기관지번상세주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

교육기관지도좌표위도
Categorical

IMBALANCE 

Distinct4
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
0.0
25 
37.4003219
 
2
37.447066
 
1
37.2908721
 
1

Length

Max length10
Median length3
Mean length3.9310345
Min length3

Unique

Unique2 ?
Unique (%)6.9%

Sample

1st row0.0
2nd row37.4003219
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 25
86.2%
37.4003219 2
 
6.9%
37.447066 1
 
3.4%
37.2908721 1
 
3.4%

Length

2023-12-10T22:54:30.156742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:54:30.887227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 25
86.2%
37.4003219 2
 
6.9%
37.447066 1
 
3.4%
37.2908721 1
 
3.4%

교육기관지도좌표경도
Categorical

IMBALANCE 

Distinct4
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
0.0
25 
127.1048758
 
2
126.6508497
 
1
126.8300017
 
1

Length

Max length11
Median length3
Mean length4.1034483
Min length3

Unique

Unique2 ?
Unique (%)6.9%

Sample

1st row0.0
2nd row127.1048758
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 25
86.2%
127.1048758 2
 
6.9%
126.6508497 1
 
3.4%
126.8300017 1
 
3.4%

Length

2023-12-10T22:54:31.121938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:54:31.310576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 25
86.2%
127.1048758 2
 
6.9%
126.6508497 1
 
3.4%
126.8300017 1
 
3.4%

사이트URL
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing5
Missing (%)17.2%
Memory size364.0 B
2023-12-10T22:54:31.724601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length31
Mean length31
Min length13

Characters and Unicode

Total characters744
Distinct characters43
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st rowhttps://www.fitt.kr/index.fitt
2nd rowhttp://onoffmix.com/event/95779
3rd rowwww.moizaa.com
4th rowhttp://www.gtp.or.kr
5th rowhttp://www.gif.or.kr
ValueCountFrequency (%)
https://www.fitt.kr/index.fitt 1
 
4.2%
http://onoffmix.com/event/95779 1
 
4.2%
www.gjf.or.kr 1
 
4.2%
http://onoffmix.com/event/99714 1
 
4.2%
http://startupall.kr/event/koreaninsv-2017 1
 
4.2%
https://www.facebook.com/inteltglab 1
 
4.2%
http://www.robouniverse.co.kr/2017/index_gsf.php 1
 
4.2%
http://onoffmix.com/event/92198 1
 
4.2%
http://onoffmix.com/event/90459 1
 
4.2%
http://onoffmix.com/event/89711 1
 
4.2%
Other values (14) 14
58.3%
2023-12-10T22:54:32.463570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 83
 
11.2%
t 69
 
9.3%
o 63
 
8.5%
e 45
 
6.0%
. 42
 
5.6%
n 40
 
5.4%
f 36
 
4.8%
m 32
 
4.3%
p 27
 
3.6%
i 27
 
3.6%
Other values (33) 280
37.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 513
69.0%
Other Punctuation 147
 
19.8%
Decimal Number 78
 
10.5%
Uppercase Letter 3
 
0.4%
Connector Punctuation 2
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 69
13.5%
o 63
12.3%
e 45
 
8.8%
n 40
 
7.8%
f 36
 
7.0%
m 32
 
6.2%
p 27
 
5.3%
i 27
 
5.3%
w 25
 
4.9%
h 23
 
4.5%
Other values (15) 126
24.6%
Decimal Number
ValueCountFrequency (%)
9 19
24.4%
7 11
14.1%
8 10
12.8%
2 7
 
9.0%
6 7
 
9.0%
1 7
 
9.0%
0 6
 
7.7%
4 5
 
6.4%
5 5
 
6.4%
3 1
 
1.3%
Other Punctuation
ValueCountFrequency (%)
/ 83
56.5%
. 42
28.6%
: 22
 
15.0%
Uppercase Letter
ValueCountFrequency (%)
I 1
33.3%
T 1
33.3%
G 1
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 516
69.4%
Common 228
30.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 69
13.4%
o 63
12.2%
e 45
 
8.7%
n 40
 
7.8%
f 36
 
7.0%
m 32
 
6.2%
p 27
 
5.2%
i 27
 
5.2%
w 25
 
4.8%
h 23
 
4.5%
Other values (18) 129
25.0%
Common
ValueCountFrequency (%)
/ 83
36.4%
. 42
18.4%
: 22
 
9.6%
9 19
 
8.3%
7 11
 
4.8%
8 10
 
4.4%
2 7
 
3.1%
6 7
 
3.1%
1 7
 
3.1%
0 6
 
2.6%
Other values (5) 14
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 744
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 83
 
11.2%
t 69
 
9.3%
o 63
 
8.5%
e 45
 
6.0%
. 42
 
5.6%
n 40
 
5.4%
f 36
 
4.8%
m 32
 
4.3%
p 27
 
3.6%
i 27
 
3.6%
Other values (33) 280
37.6%

등록저장일시
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

수정저장일시
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing28
Missing (%)96.6%
Memory size364.0 B
Minimum2017-11-09 11:41:00
Maximum2017-11-09 11:41:00
2023-12-10T22:54:32.663088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:54:32.828363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

필기시험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

필기시험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

실기시험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

실기시험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

면접시험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

면접시험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

등록일시
Categorical

Distinct8
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
2017-04-13
8 
2017-05-02
7 
2017-05-04
5 
2017-05-08
3 
2017-05-11
3 
Other values (3)
3 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique3 ?
Unique (%)10.3%

Sample

1st row2017-04-13
2nd row2017-04-13
3rd row2017-04-13
4th row2017-04-13
5th row2017-04-13

Common Values

ValueCountFrequency (%)
2017-04-13 8
27.6%
2017-05-02 7
24.1%
2017-05-04 5
17.2%
2017-05-08 3
 
10.3%
2017-05-11 3
 
10.3%
2017-04-14 1
 
3.4%
2017-04-28 1
 
3.4%
2017-05-10 1
 
3.4%

Length

2023-12-10T22:54:33.085578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:54:33.267511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017-04-13 8
27.6%
2017-05-02 7
24.1%
2017-05-04 5
17.2%
2017-05-08 3
 
10.3%
2017-05-11 3
 
10.3%
2017-04-14 1
 
3.4%
2017-04-28 1
 
3.4%
2017-05-10 1
 
3.4%

수정일자
Categorical

Distinct6
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Memory size364.0 B
2017-08-28
18 
2017-08-27
7 
2017-11-09
 
1
2017-09-20
 
1
2017-09-01
 
1

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique4 ?
Unique (%)13.8%

Sample

1st row2017-08-27
2nd row2017-11-09
3rd row2017-08-27
4th row2017-08-27
5th row2017-08-27

Common Values

ValueCountFrequency (%)
2017-08-28 18
62.1%
2017-08-27 7
 
24.1%
2017-11-09 1
 
3.4%
2017-09-20 1
 
3.4%
2017-09-01 1
 
3.4%
2017-10-02 1
 
3.4%

Length

2023-12-10T22:54:33.482969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:54:33.676845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017-08-28 18
62.1%
2017-08-27 7
 
24.1%
2017-11-09 1
 
3.4%
2017-09-20 1
 
3.4%
2017-09-01 1
 
3.4%
2017-10-02 1
 
3.4%

게시여부
Boolean

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size161.0 B
False
20 
True
9 
ValueCountFrequency (%)
False 20
69.0%
True 9
31.0%
2023-12-10T22:54:33.967183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

삭제여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size161.0 B
False
29 
ValueCountFrequency (%)
False 29
100.0%
2023-12-10T22:54:34.208769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

대표전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

교육상세추가내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

신청기간구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing28
Missing (%)96.6%
Memory size364.0 B
2023-12-10T22:54:34.393018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row상시
ValueCountFrequency (%)
상시 1
100.0%
2023-12-10T22:54:34.715325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
상 1
50.0%
시 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 1
50.0%
시 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 1
50.0%
시 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
상 1
50.0%
시 1
50.0%

홈페이지바로가기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
27 
1
 
2

Length

Max length4
Median length4
Mean length3.7931034
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 27
93.1%
1 2
 
6.9%

Length

2023-12-10T22:54:35.035827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:54:35.194791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
93.1%
1 2
 
6.9%

추가구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

추가내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

데이터기준일자
Categorical

Distinct8
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
2017-04-13
8 
2017-05-02
7 
2017-05-04
5 
2017-05-08
3 
2017-05-11
3 
Other values (3)
3 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique3 ?
Unique (%)10.3%

Sample

1st row2017-04-13
2nd row2017-04-13
3rd row2017-04-13
4th row2017-04-13
5th row2017-04-13

Common Values

ValueCountFrequency (%)
2017-04-13 8
27.6%
2017-05-02 7
24.1%
2017-05-04 5
17.2%
2017-05-08 3
 
10.3%
2017-05-11 3
 
10.3%
2017-04-14 1
 
3.4%
2017-04-28 1
 
3.4%
2017-05-10 1
 
3.4%

Length

2023-12-10T22:54:35.504864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:54:35.783201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017-04-13 8
27.6%
2017-05-02 7
24.1%
2017-05-04 5
17.2%
2017-05-08 3
 
10.3%
2017-05-11 3
 
10.3%
2017-04-14 1
 
3.4%
2017-04-28 1
 
3.4%
2017-05-10 1
 
3.4%

Sample

교육훈련번호온라인신청가능여부교육명교육대상명교육장소명교육장소신우편번호교육장소도로명주소교육장소도로명상세주소교육장소지번주소교육장소지번상세주소교육장소지도좌표위도교육장소지도좌표경도교육장소법정동코드접수방법명신청인원명홈페이지URL분류명신분류명신목적명신형태명교육기간명훈련비용명국가직무능력표준대분류명국가직무능력표준중분류명국가직무능력표준소분류명국가직무능력표준상세분류명한국고용직업분류대분류명한국고용직업분류중분류명한국고용직업분류소분류명한국고용직업분류상세분류명태그명중요도구분명정책사이트URL교육내용조회수관심수공유수차수년도차수월차수일차수명신청시작일자신청시작시각신청종료일자신청종료시각결과발표일자교육시작일자교육시작시간교육종료일자교육종료시간공간정보번호교육기관우편번호교육기관도로명주소교육기관도로명상세주소교육기관지번주소교육기관지번상세주소교육기관지도좌표위도교육기관지도좌표경도사이트URL등록저장일시수정저장일시필기시험시작일자필기시험종료일자실기시험시작일자실기시험종료일자면접시험시작일자면접시험종료일자등록일시수정일자게시여부삭제여부대표전화번호교육상세추가내용신청기간구분명홈페이지바로가기수추가구분명추가내용데이터기준일자
01054<NA>[넥시드] 인도네시아 스타트업 세미나 - KEJORA VC의 Andy Zain스타트업업계 종사자 및 투자유치에 관심있는 모든 분들<NA>13487경기 성남시 분당구 대왕판교로645번길 12 (삼평동; 경기창조경제혁신센터)7층 세미나실경기 성남시 분당구 *** ***7층 세미나실37.400322127.1048764113510900온라인접수 (http://onoffmix.com/event/96180)100<NA>스타트업(창업)ㆍ기업가정신스타트업(창업)ㆍ기업가정신취미·교양특강·세미나·컨퍼런스<NA><NA>사업관리<NA><NA><NA>경영;회계;사무관련직<NA><NA><NA>#스타트업#경기콘텐츠진흥원#투자유치#인도네시아#동남아시아<NA><NA>ㅇ 접수기간 : 2017년 3월 31일 17시 ~ 4월 14일 11시30분||ㅇ 행사일정&nbsp;: 2017년 4월 14일 14시~ 17시||ㅇ 접수방법 : 온라인접수 (http://onoffmix.com/event/96180)||ㅇ 장소 : 경기창조경제혁신센터 7층 세미나실&nbsp;||ㅇ 내용 : 동남아시아 스타트업 시장 세미나 등&nbsp;||ㅇ 주최 / 주관 : 경기콘텐츠진흥원||ㅇ 문의처 : nexeedmentoring2017@gmail.com||ㅇ 자세히 보러가기 :&nbsp;클릭&nbsp;(http://onoffmix.com/event/96180)|29200<NA>1<NA><NA>2017-03-31<NA><NA><NA><NA>2017-04-1414:002017-04-1417:00013487경기 성남시 분당구 대왕판교로645번길 12 (삼평동; 경기창조경제혁신센터)<NA>경기 성남시 분당구 *** ***<NA>0.00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>2017-04-132017-08-27NN<NA><NA><NA><NA><NA><NA>2017-04-13
11055<NA>FITT 선수재활 현장세미나누구나스타트업캠퍼스 1층 컨퍼런스홈13488경기 성남시 분당구 판교로 289 (삼평동; 에이텍 빌딩)스타트업캠퍼스 1층 컨퍼런스홈경기 성남시 분당구 *** ***스타트업캠퍼스 1층 컨퍼런스홈37.403521127.1060774113510900온라인접수100https://www.fitt.kr/index.fitt복지·보건·의료복지·보건·의료취미·교양특강·세미나·컨퍼런스1일이내유료이용·숙박·여행·오락·스포츠스포츠스포츠경기·지도건강운동관리미용;숙박;여행;오락;스포츠관련직스포츠 및 레크레이션 관련 종사자<NA><NA>#세미나#FITT#선수재활<NA><NA>ㅇ 접수기간 : 2017년 3월 24일 19시 ~ 5월 11일 15시30분||ㅇ 행사일정 : 2017년 5월 14일 10시 ~ 18시||ㅇ 접수방법 : 온라인접수 (http://onoffmix.com/event/95475)||ㅇ 장소 : 스타트업캠퍼스 1층 컨퍼런스홈||ㅇ 내용 :&nbsp;|&nbsp;- &nbsp;선수트레이닝에 필요한 기본적인 기능해부학 및 운동역학||&nbsp;- &nbsp;어깨 충동증후군의 손상평가 및 재활 등||ㅇ 문의처 : 주식회사 피트 010-9662-9177&nbsp;||ㅇ 자세히 보러가기 :&nbsp;클릭&nbsp;(http://onoffmix.com/event/95475)|3700<NA><NA><NA><NA>2017-03-2419:00<NA>15:30<NA>2017-05-1410:002017-05-1418:00106313487경기 성남시 분당구 대왕판교로645번길 12<NA>경기 성남시 분당구 *** ***<NA>37.400322127.104876https://www.fitt.kr/index.fitt<NA>2017-11-09 11:41<NA><NA><NA><NA><NA><NA>2017-04-132017-11-09NN<NA><NA>상시<NA><NA><NA>2017-04-13
21056<NA>시작하세요! Photon을 사용한 실시간 멀티플레이 게임 만들기<NA>경기창조경제혁신센터13487경기 성남시 분당구 대왕판교로645번길 12 (삼평동; 경기창조경제혁신센터)1층 기가홀경기 성남시 분당구 *** ***1층 기가홀37.400322127.1048764113510900온라인접수50http://www.xbaas.com/IT·SW·프로그래밍IT·SW·프로그래밍취업교육<NA><NA>정보통신<NA><NA><NA>정보통신 관련직<NA><NA><NA>#유니티#Unity3D#게임#서버#photon<NA><NA>ㅇ 행사일정 : 2017년 4월 26일 19시30분 ~ 21시30분&nbsp;||ㅇ 접수방법 : 온라인접수(http://onoffmix.com/event/95779)||ㅇ 장소 : 경기창조경제혁신센터 1층 기가홀||ㅇ 내용 :&nbsp;|&nbsp;- photon 소개||&nbsp;-Unity를 사용한 개발실습 등||ㅇ 주최 / 주관 : Photon 운영국 / Ncloud24; 가천대학교 게임대학원||ㅇ 자세히 보러가기 :&nbsp;클릭&nbsp;http://onoffmix.com/event/95779|7500<NA><NA><NA><NA>2017-04-01<NA><NA>18:30<NA>2017-04-2619:302017-04-2621:300<NA><NA><NA><NA>0.00.0http://onoffmix.com/event/95779<NA><NA><NA><NA><NA><NA><NA><NA>2017-04-132017-08-27NN<NA><NA><NA><NA><NA><NA>2017-04-13
31057<NA>[무료특강] 수원 영통역 합격 자소서 대비 취업특강<NA>모이자 수원본점16704경기 수원시 영통구 봉영로 1612 (영통동)<NA>경기 수원시 영통구 *** *****<NA>37.254486127.0750234111710500온라인접수(http://onoffmix.com/event/96061)25https://docs.google.com/forms/d/1beRx_T4Qr8SBVj-RSGylvA3OQgdTdymQfEDu5vvdeRs/viewform?edit_requested=true진로ㆍNCSㆍ취업전략ㆍ어학진로ㆍNCSㆍ취업전략ㆍ어학취업특강·세미나·컨퍼런스<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>#취업강의#수원#영통역#현대자동차그룹#모이자<NA><NA>ㅇ 접수기간 : 2017년&nbsp;3월 30일 22시30분 ~ 4월 21일 18시30분||ㅇ 행사일정 :&nbsp;2017년 4월 21일 19시 ~ 21시||ㅇ 접수방법 : 온라인접수(http://onoffmix.com/event/96061)&nbsp;||ㅇ 장소 : 모이자 수원본점||ㅇ 내용 :&nbsp;합격 자소서 대비 취업특강||ㅇ 주최 / 주관 :&nbsp;모이자 수원본점||ㅇ 문의처 :&nbsp;카카오톡 business05&nbsp;||ㅇ 자세히 보러가기 :&nbsp;클릭&nbsp;(http://onoffmix.com/event/96061)|23400<NA>1<NA><NA>2017-03-3022:30<NA>18:30<NA>2017-04-2119:002017-04-2121:00016704경기 수원시 영통구 봉영로 1612 (영통동)보보스프라자 306호 [모이자 수원본점]경기 수원시 영통구 *** *****<NA>0.00.0www.moizaa.com<NA><NA><NA><NA><NA><NA><NA><NA>2017-04-132017-08-27NN<NA><NA><NA><NA><NA><NA>2017-04-13
41058<NA>(6차) INVENTOR 활용 3D 모델링 교육재직자; 구직자; 예비창업자; 대학(원)생등 3D 프린팅 기술 활용 희망자경기테크노파크15588경기 안산시 상록구 해안로 705 (사동; 경기테크노파크)RIT 센터 202호경기 안산시 상록구 ** *******RIT 센터 202호37.290872126.8300024127110300온라인접수(http://onoffmix.com/event/95634)30<NA>광고·디자인·영상광고·디자인·영상취업교육<NA><NA>문화·예술·디자인·방송디자인디자인제품디자인문화;예술;디자인 방송관련직디자이너캐드원<NA># 교육#3D#프린팅#기술<NA><NA>ㅇ 접수기간 : 2017년&nbsp;3월 27일 15시&nbsp;~ 4월 25일&nbsp;9시||ㅇ 행사일정 : 2017년&nbsp;4월 25일 ~ 4월 28일 / 9시 30분&nbsp;17시 30분||ㅇ 접수방법 :&nbsp;온라인접수(http://onoffmix.com/event/95634)||ㅇ 장소 :&nbsp;경기테크노파크 RIT 센터 202호||ㅇ 내용 : INVENTOR 활용 제품 3D 모델링하기||ㅇ 주최 / 주관 :&nbsp;경기테크노파크||ㅇ 문의처 : 경기테크노파크 무한상상실 031-500-3031||ㅇ 자세히 보러가기 :&nbsp;클릭&nbsp;(http://onoffmix.com/event/95634)|14100<NA><NA><NA><NA>2017-03-2715:00<NA>9:00<NA>2017-04-259:302017-04-2817:30015588경기 안산시 상록구 해안로 705 (사동; 경기테크노파크)<NA>경기 안산시 상록구 ** *******<NA>0.00.0http://www.gtp.or.kr<NA><NA><NA><NA><NA><NA><NA><NA>2017-04-132017-08-27NN<NA><NA><NA><NA><NA><NA>2017-04-13
51059<NA>4차산업혁명과 일자리의 변화<NA>경기창조경제혁신센터13487경기 성남시 분당구 대왕판교로645번길 12 (삼평동; 경기창조경제혁신센터)지하2층 국제회의장경기 성남시 분당구 *** ***지하2층 국제회의장37.400322127.1048764113510900온라인접수(http://onoffmix.com/event/96313)300http://www.gjf.or.kr진로ㆍNCSㆍ취업전략ㆍ어학진로ㆍNCSㆍ취업전략ㆍ어학취미·교양특강·세미나·컨퍼런스<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>#4차산업혁명#컨퍼런스#경기도일자리재단#산업혁명#일자리#판교<NA><NA>ㅇ 접수기간 : 2017년&nbsp;4월 3일 10시 ~ 4월 14일 16시30분||ㅇ 행사일정 : 2017년&nbsp;4월 20일 9시 30분 ~ 17시||ㅇ 접수방법 :&nbsp;온라인접수(http://onoffmix.com/event/96313)||ㅇ 장소 :&nbsp;경기창조경제혁신센터 지하2층 국제회의장||ㅇ 내용 :&nbsp;|&nbsp;- 4차 산업혁명시대의 새로운 기회와 가능성||&nbsp;- 산업과 일자리의 변화||&nbsp;- 교육의 변화||&nbsp;- 종합주제토론||ㅇ 문의처 : 경기도일자리재단 031-270-9655||ㅇ 자세히 보러가기 :&nbsp;클릭&nbsp;(http://www.gjf.or.kr/?page_id=340&amp;mod=document&amp;pageid=1&amp;keyword=%EC%BB%A8%ED%8D%BC%EB%9F%B0%EC%8A%A4&amp;uid=418)|278390<NA><NA><NA><NA>2017-04-03<NA><NA>23:30<NA>2017-04-209:302017-04-2017:00014566경기 부천시 부천로136번길 27 (원미동; 원미어울마당; 경기도일자리재단)<NA>경기 부천시 원미동 **<NA>0.00.0http://www.gif.or.kr<NA><NA><NA><NA><NA><NA><NA><NA>2017-04-132017-09-20NN<NA><NA><NA>1<NA><NA>2017-04-13
61060<NA>제4차 산업혁명과 5G스타트업; 보육기업; 예비창업자; 대학생; 일반인 등스타트업캠퍼스13488경기 성남시 분당구 판교로289번길 20 (삼평동; 판교테크노밸리 스타트업 캠퍼스)5층 오픈이노베이션랩경기 성남시 분당구 *** ***5층 오픈이노베이션랩37.404621127.1058124113510900온라인접수(http://onoffmix.com/event/96843)50<NA>4차산업·빅데이터·IoT4차산업·빅데이터·IoT실무향상특강·세미나·컨퍼런스<NA><NA>정보통신<NA><NA><NA><NA><NA><NA><NA>#4차산업 #정보통신 #산업형멱 #세미나<NA><NA>ㅇ 접수기간 : 2017년 4월 10일 11시30분 ~ 4월 20일 0시||ㅇ 행사일정 : 2017년 4월 20일 14시 ~ 18시||ㅇ 접수방법 :&nbsp;온라인접수(http://onoffmix.com/event/96843)||ㅇ 장소 : 스타트업캠퍼스 5층 오픈이노베이션랩||ㅇ 내용 :&nbsp;||&nbsp;- AI 서비스 개발 및 추진현황||&nbsp;- 국내 빅데이터 시장현황과 주요 사업사례||&nbsp;- 5G시대의 IoT 서비스 -향후 Tech 세미나 안내 등||ㅇ 주최 / 주관 :&nbsp;경기창조경제혁신센터||ㅇ 자세히 보러가기 :&nbsp;클릭&nbsp;(http://onoffmix.com/event/96843)||&nbsp;|1800<NA>1<NA><NA>2017-04-10<NA><NA><NA><NA>2017-04-2014:002017-04-2018:00013487경기 성남시 분당구 대왕판교로645번길 12 (삼평동; 경기창조경제혁신센터)<NA>경기 성남시 분당구 *** ***<NA>0.00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>2017-04-132017-08-28NN<NA><NA><NA><NA><NA><NA>2017-04-13
71061<NA>(5차) AUTOCAD 활용 2D 모델링 교육재직자; 구직자; 예비창업자; 대학(원)생등 3D 프린팅 기술 활용 희망자경기테크노파크15588경기 안산시 상록구 해안로 705 (사동; 경기테크노파크)RIT센터 202호경기 안산시 상록구 ** *******RIT센터 202호37.290872126.8300024127110300온라인접수30http://onoffmix.com/event/95630건축·가구·인테리어건축·가구·인테리어취업교육<NA><NA>건설건축건축설계·감리<NA>건설 관련직<NA><NA><NA>#교육#AUTOCAD<NA><NA>ㅇ 접수기간 : 2017년&nbsp;4월 18일&nbsp;9시30분 ~ 4월 20일 17시30분||ㅇ 행사일정 : 2017년 4월 18일 ~ 4월 20일&nbsp;/ 9시 30분 ~ 17시 30분||ㅇ 접수방법 :&nbsp;온라인접수(http://onoffmix.com/event/95630)||ㅇ 장소 : 경기테크노파크||ㅇ 내용 : AUTOCAD 활용하여 2D 도면 그리기&nbsp;-||ㅇ 주최 / 주관 : 경기도; 경기테크노파크||ㅇ 문의처 : (재)경기테크노파크 무한상상실 031-500-3031||ㅇ 자세히 보러가기 :&nbsp;클릭|&nbsp;|13300<NA><NA><NA><NA>2017-03-2714:30<NA>9:00<NA>2017-04-189:302017-04-2017:30015588경기 안산시 상록구 해안로 705 (사동; 경기테크노파크)<NA>경기 안산시 상록구 ** *******<NA>0.00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>2017-04-132017-08-28NN<NA><NA><NA><NA><NA><NA>2017-04-13
81062<NA>Ablethon 해커톤개발자; 디자이너; 기획자; QA스타트업캠퍼스 2층 다목적실13488경기 성남시 분당구 판교로289번길 20 (삼평동; 판교테크노밸리 스타트업 캠퍼스)<NA>경기 성남시 분당구 *** ***<NA>37.404621127.1058124113510900온라인접수40http://onoffmix.com/event/94765IT·SW·프로그래밍IT·SW·프로그래밍취미·교양특강·세미나·컨퍼런스<NA><NA>정보통신<NA><NA><NA>정보통신 관련직소프트웨어 개발 전문가<NA><NA>#모바일#시각장애#다누온#해커톤#에이블톤<NA><NA>ㅇ 접수기간 : 2017년 3월 18일 12시 ~ 4월 29일&nbsp;||ㅇ 행사일시 : 2017년 4월 29일 10시 ~ 4월 30일 18시&nbsp;||ㅇ 접수방법 : 온라인접수 (http://www.onoffmix.com/event/94765/)||ㅇ 장소 : 스타트업캠퍼스 (경기 성남시 분당구 삼평동 2층 다목적홀)||ㅇ 내용 :||&nbsp;-&nbsp;시각장애인도 사용 가능한 어플리케이션 개발||&nbsp;- 발표심사용(PPT) 및 제작물 시연 등||ㅇ 문의처 : 주식회사 다누온 / 070-7525-1082 / wbpark@danuon.co.kr||ㅇ 자세히 보러가기 :&nbsp;클릭&nbsp;(http://www.onoffmix.com/event/94765/)|4200<NA>1<NA><NA>2017-03-1812:00<NA><NA><NA>2017-04-299:002017-04-3018:00013488경기 성남시 분당구 판교로289번길 20 (삼평동; 판교테크노밸리 스타트업 캠퍼스)<NA>경기 성남시 분당구 *** ***<NA>0.00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>2017-04-142017-08-28NN<NA><NA><NA><NA><NA><NA>2017-04-14
91063<NA>[일산]K Move 멘토링 콘서트<NA>킨텍스 제1전시장10390경기 고양시 일산서구 킨텍스로 217-60 (대화동; 킨텍스)킨텍스 제1전시장 2홀 내 멘토링관리경기 고양시 일산서구 *** ****킨텍스 제1전시장 2홀 내 멘토링관리37.668935126.7458034128710400온라인접수<NA>https://www.worldjob.or.kr/info/bbs/notice/view.do?menuId=1000000049&bbscttNo=85992&pageIndex=1&showItemListCount=10&orderByKey=&orderByType=&srchType=&srchTxt=&srchType2=&srchType3=&srchType4=&srchTy진로ㆍNCSㆍ취업전략ㆍ어학진로ㆍNCSㆍ취업전략ㆍ어학취미·교양상담·컨설팅·멘토링<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>#kmove #취업특강 #멘토링콘서트<NA><NA>ㅇ 접수기간 : 2017년 4월 25일 19시30분 ~ 5월 11일 10시||ㅇ 행사일정 : 2017년 5월 11일 ~ 5월 12일 / 14시 ~ 16시30분||ㅇ 접수방법 : 온라인접수 (www.worldjob.or.kr))||ㅇ 장소 : 킨텍스 제1전시장 2홀 내 멘토링관리 (경기 고양시 일산서구 대화동)||ㅇ 내용 : 릴레이강연&nbsp;/ 그룹멘토링 / 해외취업컨ㅤㅅㅓㄾ팅 등||ㅇ 주최 / 주관 : k-move 등&nbsp;||ㅇ 자세히 보러가기 :&nbsp;클릭&nbsp;(https://www.worldjob.or.kr/info/bbs/notice/view.do?menuId=1000000049&amp;bbscttNo=85992&amp;pageIndex=1&amp;showItemListCount=10&amp;orderByKey=&amp;orderByType=&amp;srchType=&amp;srchTxt=&amp;srchType2=&amp;srchType3=&amp;srchType4=&amp;srchType5=&amp;srchTxt2=&amp;srchTxt3=)|6000<NA>1<NA><NA>2017-04-18<NA><NA>10:00<NA>2017-05-1114:002017-05-1216:30010390경기 고양시 일산서구 킨텍스로 217-60 (대화동; 킨텍스)제1전시장경기 고양시 일산서구 *** ****<NA>0.00.0http://onoffmix.com/event/98617<NA><NA><NA><NA><NA><NA><NA><NA>2017-04-282017-08-28NN<NA><NA><NA><NA><NA><NA>2017-04-28
교육훈련번호온라인신청가능여부교육명교육대상명교육장소명교육장소신우편번호교육장소도로명주소교육장소도로명상세주소교육장소지번주소교육장소지번상세주소교육장소지도좌표위도교육장소지도좌표경도교육장소법정동코드접수방법명신청인원명홈페이지URL분류명신분류명신목적명신형태명교육기간명훈련비용명국가직무능력표준대분류명국가직무능력표준중분류명국가직무능력표준소분류명국가직무능력표준상세분류명한국고용직업분류대분류명한국고용직업분류중분류명한국고용직업분류소분류명한국고용직업분류상세분류명태그명중요도구분명정책사이트URL교육내용조회수관심수공유수차수년도차수월차수일차수명신청시작일자신청시작시각신청종료일자신청종료시각결과발표일자교육시작일자교육시작시간교육종료일자교육종료시간공간정보번호교육기관우편번호교육기관도로명주소교육기관도로명상세주소교육기관지번주소교육기관지번상세주소교육기관지도좌표위도교육기관지도좌표경도사이트URL등록저장일시수정저장일시필기시험시작일자필기시험종료일자실기시험시작일자실기시험종료일자면접시험시작일자면접시험종료일자등록일시수정일자게시여부삭제여부대표전화번호교육상세추가내용신청기간구분명홈페이지바로가기수추가구분명추가내용데이터기준일자
191073<NA>스타트업 글로벌 트렌드<NA>경기창조경제혁신센터13487경기 성남시 분당구 대왕판교로645번길 12 (삼평동; 경기창조경제혁신센터)<NA>경기 성남시 분당구 *** ***<NA>37.400322127.1048764113510900온라인접수150http://onoffmix.com/event/89711스타트업(창업)ㆍ기업가정신스타트업(창업)ㆍ기업가정신실무향상특강·세미나·컨퍼런스<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>#스타트업 #세미나 #강연 #창업<NA><NA>ㅇ 접수기간 : 2017년 1월 26일 14시 ~ 2017년 2월 21일 23시30분||ㅇ 행사일정 : 2017년&nbsp;2월 22일 14시 ~ 17시||ㅇ 접수방법 : 온라인접수 (http://onoffmix.com/event/89711)||ㅇ 장소 :&nbsp;경기창조경제혁신센터 7층||ㅇ 내용 :&nbsp;글로벌한 스타트업 트렌드와 함께 요즘 뜨고 있는 오토테크; 후드테크; 핀테크 경향파악||ㅇ 주최 / 주관 : 경기도; 성남시; 경기콘텐츠진흥원; 성남산업진흥재단||ㅇ 문의처 : 031-776-4634||ㅇ 자세히 보러가기 :&nbsp;클릭&nbsp;(http://onoffmix.com/event/89711)|5900<NA>1<NA><NA>2017-01-26<NA><NA><NA><NA>2017-02-22<NA>2017-02-22<NA>013487경기 성남시 분당구 대왕판교로645번길 12 (삼평동; 경기창조경제혁신센터)7층경기 성남시 분당구 *** ***<NA>0.00.0http://onoffmix.com/event/89711<NA><NA><NA><NA><NA><NA><NA><NA>2017-05-042017-08-28YN<NA><NA><NA><NA><NA><NA>2017-05-04
201074<NA>초기 투자 유치에 대한 이야기<NA>경기창조경제혁신센터13487경기 성남시 분당구 대왕판교로645번길 12 (삼평동; 경기창조경제혁신센터)<NA>경기 성남시 분당구 *** ***<NA>37.400322127.1048764113510900온라인접수150http://onoffmix.com/event/90459금융·투자·펀딩·부동산스타트업(창업)ㆍ기업가정신창업특강·세미나·컨퍼런스<NA><NA>사업관리<NA><NA><NA>경영;회계;사무관련직<NA><NA><NA>#스타트업#창업#투자<NA><NA>ㅇ 접수기간 : 2017년&nbsp;2월 7일&nbsp;17시&nbsp;~ 2월 27일&nbsp;23시30분||ㅇ 행사일정 : 2017년 2월 28일 13시30분 ~ 17시30분||ㅇ 접수방법 :&nbsp;온라인접수(http://onoffmix.com/event/90459)||ㅇ 장소 : 경기창조경제혁신센터 7층||ㅇ 내용 : 초기 투자 유치에 대한 이야기 (초기 단계의 스타트업이 투자 유치를 위해 사전에 준비해야 하는 항목과 기업 가치; 협상 등)||&nbsp;ㅇ 주최 / 주관 : 경기도; 성남시; 경기콘텐츠진흥원; 성남산업진흥재단||ㅇ 문의처 : 031-776-4634||ㅇ 자세히 보러가기 :&nbsp;클릭&nbsp;(http://onoffmix.com/event/90459)|2500<NA>1<NA><NA>2017-02-07<NA><NA><NA><NA>2017-02-28<NA>2017-02-28<NA>013487경기 성남시 분당구 대왕판교로645번길 12 (삼평동; 경기창조경제혁신센터)7층경기 성남시 분당구 *** ***<NA>0.00.0http://onoffmix.com/event/90459<NA><NA><NA><NA><NA><NA><NA><NA>2017-05-042017-08-28YN<NA><NA><NA><NA><NA><NA>2017-05-04
211075<NA>너희의 당당한 새학기 응원해<NA>스타트업캠퍼스 3동 4층 대강당13488경기 성남시 분당구 판교로289번길 20 (삼평동; 판교테크노밸리 스타트업 캠퍼스)<NA>경기 성남시 분당구 *** ***<NA>37.404621127.1058124113510900온라인 접수20http://onoffmix.com/event/92198진로ㆍNCSㆍ취업전략ㆍ어학진로ㆍNCSㆍ취업전략ㆍ어학취업특강·세미나·컨퍼런스<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>#진로캠프#새학기#대학생<NA><NA>ㅇ 접수기간 : 2017년 2월 20일 11시30분 ~ 2월 22일 23시30분||ㅇ 행사일정 : 2017년 2월 28일 13시 ~17시||ㅇ 접수방법 : &nbsp;온라인접수 (http://onoffmix.com/event/92198)||ㅇ 장소 : 스타트업캠퍼스 (경기 성남시 분당구 삼평동 3동 4층 대강당)||ㅇ 내용 : 진로특강 / 강점분석/ 직업탐색 / 진로설계 / 진로토크 등||ㅇ 문의처 : 031-5171-5800 / 카카오톡 : Talentx||ㅇ 자세히 보러가기 :&nbsp;클릭|6700<NA>1<NA><NA>2017-02-20<NA><NA><NA><NA>2017-02-28<NA>2017-02-2817:00013488경기 성남시 분당구 판교로289번길 20 (삼평동; 판교테크노밸리 스타트업 캠퍼스)3동 4층경기 성남시 분당구 *** ***<NA>0.00.0http://onoffmix.com/event/92198<NA><NA><NA><NA><NA><NA><NA><NA>2017-05-042017-08-28YN<NA><NA><NA><NA><NA><NA>2017-05-04
221076<NA>2017 Global Sensor Forum<NA>킨텍스홀 7 & 810390경기 고양시 일산서구 킨텍스로 217-60 (대화동; 킨텍스)<NA>경기 고양시 일산서구 *** ****<NA>37.668935126.7458034128710400온오프믹스;로보유니버스&amp;k드론 홈페이지 사전등록<NA>http://www.robouniverse.co.kr/2017/r1.php?sel=robo스타트업(창업)ㆍ기업가정신스타트업(창업)ㆍ기업가정신실무향상특강·세미나·컨퍼런스<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>#Global#글로벌센서포럼#GSF#Sensor#Forum<NA><NA>ㅇ 접수기간 : 2017년 4우러 17일 14시 ~ 6월 28일 0시||ㅇ 행사일정 : 2017년 6월 28일 10시 6월 30일 18시||ㅇ 접수방법 : 온라인접수(http://onoffmix.com/event/97708)||ㅇ 장소 :&nbsp;킨텍스 제2전시장&nbsp;Hall 7 &amp; 8||ㅇ 내용 :&nbsp;||국내외 경제 상황과 민감하게 반응하는 시장 상황에 대해서 우리가 주목해야할 트렌드와 이슈를 분석하고 글로벌 기업들의 전략&nbsp;공유||ㅇ 주최 / 주관 :&nbsp;RisingMedia;&nbsp;킨텍스||ㅇ 문의처 :&nbsp;lsk59@kintex.com||ㅇ 자세히 보러가기 :&nbsp;클릭&nbsp;(http://onoffmix.com/event/97708)|27700<NA>1<NA><NA>2017-04-17<NA><NA><NA><NA>2017-06-28<NA>2017-06-30<NA>010390경기 고양시 일산서구 킨텍스로 217-60 (대화동; 킨텍스)hall 7&amp;8경기 고양시 일산서구 *** ****<NA>0.00.0http://www.robouniverse.co.kr/2017/index_gsf.php<NA><NA><NA><NA><NA><NA><NA><NA>2017-05-082017-08-28NN<NA><NA><NA><NA><NA><NA>2017-05-08
231077<NA>[에이큐브:인텔TG랩 리얼세미나] 제4차 산업혁명 Social Live Talk4차 산업혁명 주요 트랜드에 대해 알고 싶은 누구나안양창조경제융합센터14055경기 안양시 동안구 부림로170번길 20 (관양동)<NA>경기 안양시 동안구 *** ****<NA>37.398716126.9643894117310200온라인신청40https://www.facebook.com/IntelTGlab/4차산업·빅데이터·IoT4차산업·빅데이터·IoT실무향상특강·세미나·컨퍼런스<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>#4차산업혁명<NA><NA>ㅇ 접수기간 : 2017년 4월 25일 14시30분 ~ 4월 27일 15시||ㅇ 행사일정 : 2017년 4월 27일 16시 ~ 17시||ㅇ 접수방법 : https://www.facebook.com/IntelTGlab/||ㅇ 장소 :&nbsp;안양창조경제융합센터 3층 A-cube||ㅇ 내용 :||&nbsp;- 4월 IT핫이슈||&nbsp;- 인공지능; 인간을 대체하는 기술 등&nbsp;||ㅇ 문의처 : 안양창조산업진흥원 에이큐브팀 031-8045-6753~5|9520<NA>1<NA><NA>2017-04-25<NA><NA>14:30<NA>2017-04-27<NA>2017-04-2716:00014055경기 안양시 동안구 시민대로327번길 11-41 (관양동)A-cube(안양창조경제융합센터 3층)경기 안양시 동안구 *** ****<NA>0.00.0https://www.facebook.com/IntelTGlab/<NA><NA><NA><NA><NA><NA><NA><NA>2017-05-082017-08-28NN<NA><NA><NA><NA><NA><NA>2017-05-08
241078<NA>실리콘밸리의 한국인 2017<NA>NAVER 그린팩토리13561경기 성남시 분당구 불정로 6 (정자동; 그린팩토리)<NA>경기 성남시 분당구 *** *****<NA>37.35952127.1052214113510300온라인접수150http://startupall.kr/event/koreaninsv-2017/스타트업(창업)ㆍ기업가정신스타트업(창업)ㆍ기업가정신실무향상특강·세미나·컨퍼런스<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>#창업#실리콘밸리<NA><NA>ㅇ 접수기간 : 2017년 3월 8일 14시 ~ 3월 15일 23시30분||ㅇ 행사일정 :&nbsp;2017년 3월 28 10시 ~ 18시||ㅇ 접수방법 : 온라인접수(http://startupall.kr/event/koreaninsv-2017)||ㅇ 장소 :&nbsp;&nbsp;네이버 그린팩토리 2층 커넥트홀||ㅇ 내용 :||&nbsp;-&nbsp;실리콘밸리인이 바라본 한국 스타트업 /실리콘밸리 VC가 바라본 한국 스타트업||&nbsp;- 글로벌 하드웨어 스타트업으로 실리콘밸리에서 성장하기 등||ㅇ 주최 / 주관 :&nbsp;스타트업얼라이언스; 네이버||ㅇ 문의처 :&nbsp;02-6080-5579||&nbsp;|||4820<NA>1<NA><NA>2017-03-08<NA><NA><NA><NA>2017-03-28<NA>2017-03-28<NA>013561경기 성남시 분당구 불정로 6 (정자동; 그린팩토리)그린팩토리 2층 커넥트홀경기 성남시 분당구 *** *****<NA>0.00.0http://startupall.kr/event/koreaninsv-2017/<NA><NA><NA><NA><NA><NA><NA><NA>2017-05-082017-08-28YN<NA><NA><NA><NA><NA><NA>2017-05-08
251079<NA>2017 플레이엑스포 global summit<NA>킨텍스 제2전시장 6홀 B2B 전시장 내 세미나장10390경기 고양시 일산서구 킨텍스로 217-59 (대화동; 제2킨텍스)<NA>경기 고양시 일산서구 *** ****<NA>37.664696126.7420634128710400온라인접수150http://onoffmix.com/event/99714스타트업(창업)ㆍ기업가정신스타트업(창업)ㆍ기업가정신실무향상특강·세미나·컨퍼런스<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>#게임개발#플레이엑스포#게임쇼#게임산업#게임마케팅<NA><NA>ㅇ 접수기간 : 2017년 5월 9일 12시 ~ 5월 23일 0시||ㅇ 행사일정 :&nbsp;2017년 5월 25일 ~ 5월&nbsp;26일 / 10시 ~ 15시||ㅇ 접수방법 :&nbsp;온라인접수(http://onoffmix.com/event/99714)||ㅇ 장소 : 킨텍스 제2전시장 6홀 B2B 전시장 내 세미나장||ㅇ 내용 :||&nbsp;- 초기기업 투자협상 가능한가||&nbsp;- 게이머를 위한 오토플레이? 개발사를 위한 오토플레이&nbsp;||&nbsp;- 국내 게임 개발자(사) 대상 퍼블리싱 추진 계획 발표 등||ㅇ 주최 / 주관 : 경기도 / 경기콘텐츠진흥원; 킨텍스||ㅇ 문의처 : 경기콘덴츠진흥원 070-4458-8894 /&nbsp;playx4@gdca.or.kr||ㅇ 자세히 보러가기 :&nbsp;클릭&nbsp;(http://onoffmix.com/event/99714)|27410<NA>1<NA><NA>2017-05-09<NA><NA><NA><NA>2017-05-25<NA>2017-05-2610:00010390경기 고양시 일산서구 킨텍스로 217-59 (대화동; 제2킨텍스)6홀6홀 B2B 전시장 내 세미나장경기 고양시 일산서구 *** ****<NA>0.00.0http://onoffmix.com/event/99714<NA><NA><NA><NA><NA><NA><NA><NA>2017-05-102017-08-28NN<NA><NA><NA><NA><NA><NA>2017-05-10
261080<NA>경기청년 +4 Trade Manager 육성사업 교육참여자 모집경기도 거주하는 만 19세 이상 34이하 청년<NA><NA><NA><NA><NA>0.00.0<NA>이메일접수(global@gjf.or.kr)150http://www.gjf.or.kr/?page_id=340&uid=410&mod=document&pageid=1국제·무역·관세·법률국제·무역·관세·법률취업교육<NA><NA>영업판매영업일반·해외영업해외영업<NA><NA><NA><NA>#전문인력양성 #가이드 #동시번역 #무역<NA><NA>ㅇ 접수기간 : 2017년 4월 3일~6월 2일&nbsp;||ㅇ 교육기간 : 2017년 7월 10일~8월 18일&nbsp;||ㅇ 접수방법 : 이메일 접수(global@gjf.or.kr)||&nbsp;- 경기도일자리재단 홈페이지에서(www.gjf.or.kr)&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;신청서 다운로드||ㅇ 내용 : 무역실무; 계약; 운송; 통관; 관세; FTA; 외국어 등||ㅇ 주최 / 주관 : 경기도; 경기도일자리재단||ㅇ 문의처 : 경기도일자리재단||ㅇ 자세히 보러가기 :&nbsp;클릭&nbsp;(http://www.gjf.or.kr/?page_id=340&amp;uid=410&amp;mod=document&amp;pageid=1)|21820<NA>1<NA><NA>2017-04-03<NA><NA><NA><NA>2017-07-10<NA>2017-08-1817:00014566경기 부천시 부천로136번길 27 (원미동; 원미어울마당; 경기도일자리재단)<NA>경기 부천시 원미동 **<NA>0.00.0www.gjf.or.kr<NA><NA><NA><NA><NA><NA><NA><NA>2017-05-112017-08-27NN<NA><NA><NA><NA><NA><NA>2017-05-11
271082<NA>빈집리모델링전문가 교육생 면접 모집 #빈집은행취창업을 희망하는 만 20 ~만 39세<NA><NA><NA><NA><NA>0.00.0<NA>온라인접수(http://onoffmix.com/event/96471)<NA><NA>건축·가구·인테리어건축·가구·인테리어자격증교육<NA><NA>건설<NA><NA><NA>건설 관련직<NA><NA><NA>#교육#집짓기#결혼#빈집은행#리모델링<NA><NA>ㅇ 접수기간 : 2017년 4월 4일 13시 ~ 5월 22일 23시30분&nbsp;||ㅇ 접수방법 : 온라인접수(http://onoffmix.com/event/96471)||ㅇ 장소 :&nbsp;||&nbsp;- 이론 : 인천 남구 홈플러스 2층 두레온||&nbsp;- 실기 : 인천 남구 용현동 공가 및 실습장||ㅇ 내용 : CAD / 창호 / 상하수도 / 보일러 / 조적 / 미장 / 방수 / 타일 / 전기 등등||ㅇ 주최 / 주관 : 남구사회적경제자원센터 / 인천광역시 남구||ㅇ 문의처 : 남구사회적경제지원센터 032-883-7888 mru1004@naver.com||ㅇ 자세히 보러가기 :&nbsp;클릭&nbsp;(http://onoffmix.com/event/96471)|6220<NA>1<NA><NA>2017-04-04<NA><NA>23:30<NA>2017-05-23<NA>2017-07-03<NA>022169인천 남구 독정이로 87 (숭의동)<NA>인천 남구 숭의동 ******<NA>37.447066126.65085<NA><NA><NA><NA><NA><NA><NA><NA><NA>2017-05-112017-08-27NN<NA><NA><NA><NA><NA><NA>2017-05-11
281083<NA>(11차) POWER SHAPE 활용 역설계 교육재직자; 구직자RIT 센터 1층 창의공작소15588경기 안산시 상록구 해안로 705 (사동; 경기테크노파크)<NA>경기 안산시 상록구 ** *******<NA>37.290872126.8300024127110300온라인접수25http://onoffmix.com/event/99855기계·금형·용접·정비기계·금형·용접·정비취업교육<NA><NA>기계<NA><NA><NA>기계관련직<NA><NA><NA>#교육#powershape#경기테크노파크<NA><NA>ㅇ 접수기간 : 2017년 5월 10일 15시30분 ~ 5월 29일 12시||ㅇ 행사일정 : 2017년 5월 29일 13시30분 ~ 5월 30일 17시30분||ㅇ 접수방법 : 온라인접수 (http://onoffmix.com/event/99855)||ㅇ 장소 : 경기테크노파크 RIT센터 1층 창의공작소||ㅇ 내용 :||&nbsp;- 5월 29일 Artec EVA 활용 3D 스캐닝 실습 (13시30분 ~ 17시30분)||&nbsp;- 5월 30일 Power Shape 활용 3D 모델링 역설계 교육 (9시30분 ~ 17시30분)||ㅇ 주최 / 주관 : (재)경기테크노파크&nbsp;||ㅇ 문의처 : (재)경기테크노파크 무한상상실 / 031-500-3031||ㅇ 자세히 보러가기 :&nbsp;클릭&nbsp;(http://onoffmix.com/event/99855)|7300<NA>1<NA><NA>2017-05-10<NA><NA><NA><NA>2017-05-2913:302017-05-3017:30015588경기 안산시 상록구 해안로 705 (사동; 경기테크노파크)RIT센터 1층경기 안산시 상록구 ** *******<NA>37.290872126.830002http://onoffmix.com/event/99855<NA><NA><NA><NA><NA><NA><NA><NA>2017-05-112017-08-27NN<NA><NA><NA><NA><NA><NA>2017-05-11