Overview

Dataset statistics

Number of variables13
Number of observations10000
Missing cells6915
Missing cells (%)5.3%
Duplicate rows1784
Duplicate rows (%)17.8%
Total size in memory1.1 MiB
Average record size in memory113.0 B

Variable types

Numeric1
Categorical3
Text9

Dataset

Description일련번호,지역구,제목,내용,대상,종목,일시,장소,참가규모(명),수혜기관명,주소,전화번호,기관 홈페이지
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-21780/S/1/datasetView.do

Alerts

Dataset has 1784 (17.8%) duplicate rowsDuplicates
일련번호 is highly overall correlated with 지역구High correlation
지역구 is highly overall correlated with 일련번호High correlation
제목 is highly imbalanced (60.7%)Imbalance
대상 is highly imbalanced (55.7%)Imbalance
전화번호 has 892 (8.9%) missing valuesMissing
기관 홈페이지 has 6023 (60.2%) missing valuesMissing

Reproduction

Analysis started2024-05-18 02:18:15.078202
Analysis finished2024-05-18 02:18:21.309502
Duration6.23 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

HIGH CORRELATION 

Distinct1784
Distinct (%)17.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5487.3922
Minimum4204
Maximum6737
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T11:18:21.531249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4204
5-th percentile4315
Q14859.75
median5505
Q36117
95-th percentile6608.05
Maximum6737
Range2533
Interquartile range (IQR)1257.25

Descriptive statistics

Standard deviation730.43546
Coefficient of variation (CV)0.13311158
Kurtosis-1.2211083
Mean5487.3922
Median Absolute Deviation (MAD)629
Skewness-0.013292526
Sum54873922
Variance533535.95
MonotonicityNot monotonic
2024-05-18T11:18:22.148093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4286 6
 
0.1%
5199 6
 
0.1%
4474 6
 
0.1%
5418 6
 
0.1%
5671 6
 
0.1%
4548 6
 
0.1%
5681 6
 
0.1%
6379 6
 
0.1%
4287 6
 
0.1%
5543 6
 
0.1%
Other values (1774) 9940
99.4%
ValueCountFrequency (%)
4204 5
0.1%
4205 4
< 0.1%
4206 5
0.1%
4207 6
0.1%
4209 6
0.1%
4210 5
0.1%
4212 6
0.1%
4213 6
0.1%
4214 6
0.1%
4215 6
0.1%
ValueCountFrequency (%)
6737 6
0.1%
6733 6
0.1%
6732 6
0.1%
6729 5
0.1%
6726 6
0.1%
6724 6
0.1%
6722 6
0.1%
6720 5
0.1%
6718 5
0.1%
6717 5
0.1%

지역구
Categorical

HIGH CORRELATION 

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
성북
705 
송파
698 
성동
 
629
동대문
 
605
광진
 
543
Other values (18)
6820 

Length

Max length3
Median length2
Mean length2.1324
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row종로
2nd row강동
3rd row강서
4th row동대문
5th row노원

Common Values

ValueCountFrequency (%)
성북 705
 
7.0%
송파 698
 
7.0%
성동 629
 
6.3%
동대문 605
 
6.0%
광진 543
 
5.4%
동작 519
 
5.2%
관악 489
 
4.9%
노원 483
 
4.8%
중랑 481
 
4.8%
강서 452
 
4.5%
Other values (13) 4396
44.0%

Length

2024-05-18T11:18:22.723643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성북 705
 
7.0%
송파 698
 
7.0%
성동 629
 
6.3%
동대문 605
 
6.0%
광진 543
 
5.4%
동작 519
 
5.2%
관악 489
 
4.9%
노원 483
 
4.8%
중랑 481
 
4.8%
강서 452
 
4.5%
Other values (13) 4396
44.0%

제목
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
어르신체육활동사업
5240 
일반체육활동사업
4428 
학교체육
 
95
미취학교실
 
92
체육교실
 
86
Other values (4)
 
59

Length

Max length11
Median length9
Mean length8.4373
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반체육활동사업
2nd row어르신체육활동사업
3rd row어르신체육활동사업
4th row일반체육활동사업
5th row일반체육활동사업

Common Values

ValueCountFrequency (%)
어르신체육활동사업 5240
52.4%
일반체육활동사업 4428
44.3%
학교체육 95
 
0.9%
미취학교실 92
 
0.9%
체육교실 86
 
0.9%
일반지도자체육활동사업 42
 
0.4%
유아체육활동지원 6
 
0.1%
우리동네파크트레이너 6
 
0.1%
음악줄넘기교실 5
 
0.1%

Length

2024-05-18T11:18:23.225784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:18:23.742413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어르신체육활동사업 5240
52.4%
일반체육활동사업 4428
44.3%
학교체육 95
 
0.9%
미취학교실 92
 
0.9%
체육교실 86
 
0.9%
일반지도자체육활동사업 42
 
0.4%
유아체육활동지원 6
 
0.1%
우리동네파크트레이너 6
 
0.1%
음악줄넘기교실 5
 
< 0.1%

내용
Text

Distinct135
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T11:18:24.622058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length6.7105
Min length2

Characters and Unicode

Total characters67105
Distinct characters167
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

Unique0 ?
Unique (%)0.0%

Sample

1st row교구를 이용한 유아신체활동
2nd row어르신체육활동사업
3rd row생활체조
4th row일반
5th row일반체육활동사업
ValueCountFrequency (%)
어르신체육활동사업 1561
 
12.5%
일반체육활동사업 1324
 
10.6%
생활체조 1022
 
8.2%
유아체육 839
 
6.7%
근력운동 677
 
5.4%
및 595
 
4.8%
어르신 483
 
3.9%
일반사업 463
 
3.7%
학교체육 459
 
3.7%
스트레칭 420
 
3.4%
Other values (126) 4609
37.0%
2024-05-18T11:18:26.020044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
체 6982
 
10.4%
동 5063
 
7.5%
활 5040
 
7.5%
육 4999
 
7.4%
사 3571
 
5.3%
업 3561
 
5.3%
2458
 
3.7%
신 2449
 
3.6%
어 2158
 
3.2%
르 2112
 
3.1%
Other values (157) 28712
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63381
94.5%
Space Separator 2458
 
3.7%
Other Punctuation 912
 
1.4%
Close Punctuation 160
 
0.2%
Open Punctuation 160
 
0.2%
Uppercase Letter 34
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
체 6982
 
11.0%
동 5063
 
8.0%
활 5040
 
8.0%
육 4999
 
7.9%
사 3571
 
5.6%
업 3561
 
5.6%
신 2449
 
3.9%
어 2158
 
3.4%
르 2112
 
3.3%
반 1977
 
3.1%
Other values (148) 25469
40.2%
Other Punctuation
ValueCountFrequency (%)
, 873
95.7%
. 17
 
1.9%
& 11
 
1.2%
/ 11
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
X 17
50.0%
G 17
50.0%
Space Separator
ValueCountFrequency (%)
2458
100.0%
Close Punctuation
ValueCountFrequency (%)
) 160
100.0%
Open Punctuation
ValueCountFrequency (%)
( 160
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63381
94.5%
Common 3690
 
5.5%
Latin 34
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
체 6982
 
11.0%
동 5063
 
8.0%
활 5040
 
8.0%
육 4999
 
7.9%
사 3571
 
5.6%
업 3561
 
5.6%
신 2449
 
3.9%
어 2158
 
3.4%
르 2112
 
3.3%
반 1977
 
3.1%
Other values (148) 25469
40.2%
Common
ValueCountFrequency (%)
2458
66.6%
, 873
 
23.7%
) 160
 
4.3%
( 160
 
4.3%
. 17
 
0.5%
& 11
 
0.3%
/ 11
 
0.3%
Latin
ValueCountFrequency (%)
X 17
50.0%
G 17
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63381
94.5%
ASCII 3724
 
5.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
체 6982
 
11.0%
동 5063
 
8.0%
활 5040
 
8.0%
육 4999
 
7.9%
사 3571
 
5.6%
업 3561
 
5.6%
신 2449
 
3.9%
어 2158
 
3.4%
르 2112
 
3.3%
반 1977
 
3.1%
Other values (148) 25469
40.2%
ASCII
ValueCountFrequency (%)
2458
66.0%
, 873
 
23.4%
) 160
 
4.3%
( 160
 
4.3%
X 17
 
0.5%
. 17
 
0.5%
G 17
 
0.5%
& 11
 
0.3%
/ 11
 
0.3%

대상
Categorical

IMBALANCE 

Distinct37
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
어르신
5240 
유아
1448 
유소년
1262 
일반
1071 
초등학생
 
319
Other values (32)
660 

Length

Max length9
Median length3
Mean length2.9829
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유아
2nd row어르신
3rd row어르신
4th row일반
5th row유소년

Common Values

ValueCountFrequency (%)
어르신 5240
52.4%
유아 1448
 
14.5%
유소년 1262
 
12.6%
일반 1071
 
10.7%
초등학생 319
 
3.2%
초등 1~2학년 150
 
1.5%
성인 69
 
0.7%
초등 1학년 43
 
0.4%
유아 만5세 38
 
0.4%
일반(유소년) 34
 
0.3%
Other values (27) 326
 
3.3%

Length

2024-05-18T11:18:26.457365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
어르신 5240
50.0%
유아 1621
 
15.5%
유소년 1262
 
12.0%
일반 1071
 
10.2%
초등학생 319
 
3.0%
초등 289
 
2.8%
1~2학년 150
 
1.4%
성인 69
 
0.7%
1학년 43
 
0.4%
만5세 38
 
0.4%
Other values (29) 372
 
3.6%

종목
Text

Distinct152
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T11:18:27.011048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length4
Mean length4.5038
Min length2

Characters and Unicode

Total characters45038
Distinct characters180
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

Unique0 ?
Unique (%)0.0%

Sample

1st row유아체육
2nd row스트레칭
3rd row생활체조
4th row학교체육
5th row유아체육
ValueCountFrequency (%)
생활체조 2616
24.3%
유아체육 1618
15.0%
학교체육 976
 
9.1%
뉴스포츠 528
 
4.9%
스트레칭 519
 
4.8%
생활체육 462
 
4.3%
건강체조 241
 
2.2%
헬스 208
 
1.9%
근력운동 205
 
1.9%
기초체력 184
 
1.7%
Other values (132) 3207
29.8%
2024-05-18T11:18:28.186205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
체 6891
 
15.3%
활 3342
 
7.4%
육 3317
 
7.4%
생 3301
 
7.3%
조 3297
 
7.3%
스 1956
 
4.3%
유 1657
 
3.7%
아 1652
 
3.7%
교 1087
 
2.4%
학 1032
 
2.3%
Other values (170) 17506
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43081
95.7%
Space Separator 764
 
1.7%
Other Punctuation 734
 
1.6%
Close Punctuation 191
 
0.4%
Open Punctuation 191
 
0.4%
Uppercase Letter 44
 
0.1%
Decimal Number 33
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
체 6891
16.0%
활 3342
 
7.8%
육 3317
 
7.7%
생 3301
 
7.7%
조 3297
 
7.7%
스 1956
 
4.5%
유 1657
 
3.8%
아 1652
 
3.8%
교 1087
 
2.5%
학 1032
 
2.4%
Other values (157) 15549
36.1%
Other Punctuation
ValueCountFrequency (%)
, 587
80.0%
& 80
 
10.9%
/ 45
 
6.1%
. 22
 
3.0%
Decimal Number
ValueCountFrequency (%)
1 11
33.3%
0 10
30.3%
4 6
18.2%
2 6
18.2%
Uppercase Letter
ValueCountFrequency (%)
G 22
50.0%
X 22
50.0%
Space Separator
ValueCountFrequency (%)
764
100.0%
Close Punctuation
ValueCountFrequency (%)
) 191
100.0%
Open Punctuation
ValueCountFrequency (%)
( 191
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43081
95.7%
Common 1913
 
4.2%
Latin 44
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
체 6891
16.0%
활 3342
 
7.8%
육 3317
 
7.7%
생 3301
 
7.7%
조 3297
 
7.7%
스 1956
 
4.5%
유 1657
 
3.8%
아 1652
 
3.8%
교 1087
 
2.5%
학 1032
 
2.4%
Other values (157) 15549
36.1%
Common
ValueCountFrequency (%)
764
39.9%
, 587
30.7%
) 191
 
10.0%
( 191
 
10.0%
& 80
 
4.2%
/ 45
 
2.4%
. 22
 
1.2%
1 11
 
0.6%
0 10
 
0.5%
4 6
 
0.3%
Latin
ValueCountFrequency (%)
G 22
50.0%
X 22
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43081
95.7%
ASCII 1957
 
4.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
체 6891
16.0%
활 3342
 
7.8%
육 3317
 
7.7%
생 3301
 
7.7%
조 3297
 
7.7%
스 1956
 
4.5%
유 1657
 
3.8%
아 1652
 
3.8%
교 1087
 
2.5%
학 1032
 
2.4%
Other values (157) 15549
36.1%
ASCII
ValueCountFrequency (%)
764
39.0%
, 587
30.0%
) 191
 
9.8%
( 191
 
9.8%
& 80
 
4.1%
/ 45
 
2.3%
. 22
 
1.1%
G 22
 
1.1%
X 22
 
1.1%
1 11
 
0.6%
Other values (3) 22
 
1.1%

일시
Text

Distinct1014
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T11:18:29.155019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length119
Median length13
Mean length18.8946
Min length1

Characters and Unicode

Total characters188946
Distinct characters29
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row월 13:00~13:40/ 수 13:00~13:40
2nd row수 10:50~11:30
3rd row화 14:00~14:40
4th row금 14:00~16:00
5th row목 10:00~10:40/ 목 10:40~11:20
ValueCountFrequency (%)
화 2822
 
10.3%
목 2758
 
10.1%
수 2668
 
9.8%
월 2645
 
9.7%
금 2315
 
8.5%
14:00~14:40 936
 
3.4%
13:30~14:10 629
 
2.3%
10:30~11:10 600
 
2.2%
11:00~11:40 556
 
2.0%
10:00~10:40 500
 
1.8%
Other values (388) 10901
39.9%
2024-05-18T11:18:30.567077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 39923
21.1%
1 35204
18.6%
: 27556
14.6%
17842
9.4%
~ 13787
 
7.3%
4 11722
 
6.2%
5 8689
 
4.6%
3 8037
 
4.3%
2 3739
 
2.0%
/ 3721
 
2.0%
Other values (19) 18726
9.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 110424
58.4%
Other Punctuation 32077
 
17.0%
Space Separator 17842
 
9.4%
Other Letter 14307
 
7.6%
Math Symbol 13787
 
7.3%
Open Punctuation 249
 
0.1%
Close Punctuation 249
 
0.1%
Dash Punctuation 11
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 39923
36.2%
1 35204
31.9%
4 11722
 
10.6%
5 8689
 
7.9%
3 8037
 
7.3%
2 3739
 
3.4%
6 2132
 
1.9%
9 488
 
0.4%
7 433
 
0.4%
8 57
 
0.1%
Other Letter
ValueCountFrequency (%)
목 2998
21.0%
화 2989
20.9%
수 2886
20.2%
월 2840
19.9%
금 2494
17.4%
급 35
 
0.2%
초 18
 
0.1%
중 17
 
0.1%
타 15
 
0.1%
임 15
 
0.1%
Other Punctuation
ValueCountFrequency (%)
: 27556
85.9%
/ 3721
 
11.6%
, 789
 
2.5%
; 11
 
< 0.1%
Space Separator
ValueCountFrequency (%)
17842
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13787
100.0%
Open Punctuation
ValueCountFrequency (%)
( 249
100.0%
Close Punctuation
ValueCountFrequency (%)
) 249
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 174639
92.4%
Hangul 14307
 
7.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 39923
22.9%
1 35204
20.2%
: 27556
15.8%
17842
10.2%
~ 13787
 
7.9%
4 11722
 
6.7%
5 8689
 
5.0%
3 8037
 
4.6%
2 3739
 
2.1%
/ 3721
 
2.1%
Other values (9) 4419
 
2.5%
Hangul
ValueCountFrequency (%)
목 2998
21.0%
화 2989
20.9%
수 2886
20.2%
월 2840
19.9%
금 2494
17.4%
급 35
 
0.2%
초 18
 
0.1%
중 17
 
0.1%
타 15
 
0.1%
임 15
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 174639
92.4%
Hangul 14307
 
7.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 39923
22.9%
1 35204
20.2%
: 27556
15.8%
17842
10.2%
~ 13787
 
7.9%
4 11722
 
6.7%
5 8689
 
5.0%
3 8037
 
4.6%
2 3739
 
2.1%
/ 3721
 
2.1%
Other values (9) 4419
 
2.5%
Hangul
ValueCountFrequency (%)
목 2998
21.0%
화 2989
20.9%
수 2886
20.2%
월 2840
19.9%
금 2494
17.4%
급 35
 
0.2%
초 18
 
0.1%
중 17
 
0.1%
타 15
 
0.1%
임 15
 
0.1%

장소
Text

Distinct1522
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T11:18:31.144111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length7.977
Min length3

Characters and Unicode

Total characters79770
Distinct characters468
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row누상어린이집
2nd row미르사랑데이케어센터
3rd row강서희망데이케어
4th row신답초등학교
5th row중계4동어린이집
ValueCountFrequency (%)
경로당 461
 
4.0%
체육관 81
 
0.7%
돌봄교실 75
 
0.6%
어린이집 60
 
0.5%
다목적실 47
 
0.4%
구로노인종합복지관 46
 
0.4%
데이케어 43
 
0.4%
4층 35
 
0.3%
주민센터3층체육관 34
 
0.3%
apt 34
 
0.3%
Other values (1562) 10686
92.1%
2024-05-18T11:18:32.322375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 2969
 
3.7%
어 2810
 
3.5%
당 2198
 
2.8%
교 2186
 
2.7%
지 2108
 
2.6%
로 2097
 
2.6%
초 2017
 
2.5%
학 1999
 
2.5%
경 1971
 
2.5%
센 1937
 
2.4%
Other values (458) 57478
72.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 75681
94.9%
Space Separator 1602
 
2.0%
Decimal Number 1495
 
1.9%
Uppercase Letter 457
 
0.6%
Open Punctuation 157
 
0.2%
Close Punctuation 157
 
0.2%
Lowercase Letter 101
 
0.1%
Other Punctuation 91
 
0.1%
Math Symbol 18
 
< 0.1%
Dash Punctuation 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2969
 
3.9%
어 2810
 
3.7%
당 2198
 
2.9%
교 2186
 
2.9%
지 2108
 
2.8%
로 2097
 
2.8%
초 2017
 
2.7%
학 1999
 
2.6%
경 1971
 
2.6%
센 1937
 
2.6%
Other values (410) 53389
70.5%
Uppercase Letter
ValueCountFrequency (%)
A 185
40.5%
B 57
 
12.5%
T 38
 
8.3%
P 38
 
8.3%
G 22
 
4.8%
C 20
 
4.4%
K 17
 
3.7%
L 16
 
3.5%
D 12
 
2.6%
H 12
 
2.6%
Other values (6) 40
 
8.8%
Lowercase Letter
ValueCountFrequency (%)
e 24
23.8%
s 12
11.9%
h 11
10.9%
g 11
10.9%
t 6
 
5.9%
o 6
 
5.9%
l 6
 
5.9%
i 5
 
5.0%
m 5
 
5.0%
c 5
 
5.0%
Other values (2) 10
9.9%
Decimal Number
ValueCountFrequency (%)
2 456
30.5%
1 340
22.7%
3 242
16.2%
4 170
 
11.4%
5 113
 
7.6%
6 72
 
4.8%
7 33
 
2.2%
8 30
 
2.0%
0 21
 
1.4%
9 18
 
1.2%
Other Punctuation
ValueCountFrequency (%)
@ 48
52.7%
, 29
31.9%
/ 6
 
6.6%
& 5
 
5.5%
? 3
 
3.3%
Space Separator
ValueCountFrequency (%)
1602
100.0%
Open Punctuation
ValueCountFrequency (%)
( 157
100.0%
Close Punctuation
ValueCountFrequency (%)
) 157
100.0%
Math Symbol
ValueCountFrequency (%)
+ 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 75681
94.9%
Common 3531
 
4.4%
Latin 558
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2969
 
3.9%
어 2810
 
3.7%
당 2198
 
2.9%
교 2186
 
2.9%
지 2108
 
2.8%
로 2097
 
2.8%
초 2017
 
2.7%
학 1999
 
2.6%
경 1971
 
2.6%
센 1937
 
2.6%
Other values (410) 53389
70.5%
Latin
ValueCountFrequency (%)
A 185
33.2%
B 57
 
10.2%
T 38
 
6.8%
P 38
 
6.8%
e 24
 
4.3%
G 22
 
3.9%
C 20
 
3.6%
K 17
 
3.0%
L 16
 
2.9%
D 12
 
2.2%
Other values (18) 129
23.1%
Common
ValueCountFrequency (%)
1602
45.4%
2 456
 
12.9%
1 340
 
9.6%
3 242
 
6.9%
4 170
 
4.8%
( 157
 
4.4%
) 157
 
4.4%
5 113
 
3.2%
6 72
 
2.0%
@ 48
 
1.4%
Other values (10) 174
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 75681
94.9%
ASCII 4089
 
5.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 2969
 
3.9%
어 2810
 
3.7%
당 2198
 
2.9%
교 2186
 
2.9%
지 2108
 
2.8%
로 2097
 
2.8%
초 2017
 
2.7%
학 1999
 
2.6%
경 1971
 
2.6%
센 1937
 
2.6%
Other values (410) 53389
70.5%
ASCII
ValueCountFrequency (%)
1602
39.2%
2 456
 
11.2%
1 340
 
8.3%
3 242
 
5.9%
A 185
 
4.5%
4 170
 
4.2%
( 157
 
3.8%
) 157
 
3.8%
5 113
 
2.8%
6 72
 
1.8%
Other values (38) 595
 
14.6%

참가규모(명)
Text

Distinct67
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T11:18:32.855225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length2.8709
Min length1

Characters and Unicode

Total characters28709
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10명
2nd row20명
3rd row30명
4th row20명
5th row20
ValueCountFrequency (%)
20명 2818
28.1%
15명 1832
18.3%
10명 1125
 
11.2%
30명 789
 
7.9%
20 646
 
6.4%
40명 411
 
4.1%
25명 405
 
4.0%
15 258
 
2.6%
18명 160
 
1.6%
12명 153
 
1.5%
Other values (54) 1431
14.3%
2024-05-18T11:18:33.852931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
명 8577
29.9%
0 6257
21.8%
2 4402
15.3%
1 4284
14.9%
5 2738
 
9.5%
3 1119
 
3.9%
4 594
 
2.1%
8 329
 
1.1%
6 218
 
0.8%
7 95
 
0.3%
Other values (5) 96
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20052
69.8%
Other Letter 8588
29.9%
Other Punctuation 41
 
0.1%
Space Separator 28
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6257
31.2%
2 4402
22.0%
1 4284
21.4%
5 2738
13.7%
3 1119
 
5.6%
4 594
 
3.0%
8 329
 
1.6%
6 218
 
1.1%
7 95
 
0.5%
9 16
 
0.1%
Other Letter
ValueCountFrequency (%)
명 8577
99.9%
며 6
 
0.1%
세 5
 
0.1%
Other Punctuation
ValueCountFrequency (%)
/ 41
100.0%
Space Separator
ValueCountFrequency (%)
28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20121
70.1%
Hangul 8588
29.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6257
31.1%
2 4402
21.9%
1 4284
21.3%
5 2738
13.6%
3 1119
 
5.6%
4 594
 
3.0%
8 329
 
1.6%
6 218
 
1.1%
7 95
 
0.5%
/ 41
 
0.2%
Other values (2) 44
 
0.2%
Hangul
ValueCountFrequency (%)
명 8577
99.9%
며 6
 
0.1%
세 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20121
70.1%
Hangul 8588
29.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
명 8577
99.9%
며 6
 
0.1%
세 5
 
0.1%
ASCII
ValueCountFrequency (%)
0 6257
31.1%
2 4402
21.9%
1 4284
21.3%
5 2738
13.6%
3 1119
 
5.6%
4 594
 
3.0%
8 329
 
1.6%
6 218
 
1.1%
7 95
 
0.5%
/ 41
 
0.2%
Other values (2) 44
 
0.2%

수혜기관명
Text

Distinct1438
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T11:18:34.478574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length7.8126
Min length3

Characters and Unicode

Total characters78126
Distinct characters450
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row누상어린이집
2nd row미르사랑데이케어센터
3rd row강서희망데이케어
4th row신답초등학교
5th row중계4동어린이집
ValueCountFrequency (%)
경로당 357
 
3.2%
돌봄교실 159
 
1.4%
어린이집 76
 
0.7%
양재노인복지관 67
 
0.6%
신정종합사회복지관 62
 
0.6%
신월종합사회복지관 50
 
0.5%
데이케어 49
 
0.4%
양천어르신종합복지관 46
 
0.4%
구로노인종합복지관 46
 
0.4%
광장복지관 35
 
0.3%
Other values (1468) 10142
91.5%
2024-05-18T11:18:35.771719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 2966
 
3.8%
어 2851
 
3.6%
지 2287
 
2.9%
교 2280
 
2.9%
초 2077
 
2.7%
학 2005
 
2.6%
당 1989
 
2.5%
등 1937
 
2.5%
센 1933
 
2.5%
터 1926
 
2.5%
Other values (440) 55875
71.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 75204
96.3%
Decimal Number 1226
 
1.6%
Space Separator 1089
 
1.4%
Uppercase Letter 303
 
0.4%
Lowercase Letter 95
 
0.1%
Other Punctuation 62
 
0.1%
Open Punctuation 59
 
0.1%
Close Punctuation 59
 
0.1%
Math Symbol 18
 
< 0.1%
Dash Punctuation 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2966
 
3.9%
어 2851
 
3.8%
지 2287
 
3.0%
교 2280
 
3.0%
초 2077
 
2.8%
학 2005
 
2.7%
당 1989
 
2.6%
등 1937
 
2.6%
센 1933
 
2.6%
터 1926
 
2.6%
Other values (396) 52953
70.4%
Uppercase Letter
ValueCountFrequency (%)
A 139
45.9%
P 38
 
12.5%
T 38
 
12.5%
K 17
 
5.6%
G 16
 
5.3%
S 12
 
4.0%
L 10
 
3.3%
H 6
 
2.0%
I 6
 
2.0%
D 6
 
2.0%
Other values (3) 15
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
e 18
18.9%
s 12
12.6%
g 11
11.6%
h 11
11.6%
t 6
 
6.3%
o 6
 
6.3%
l 6
 
6.3%
n 5
 
5.3%
a 5
 
5.3%
i 5
 
5.3%
Other values (2) 10
10.5%
Decimal Number
ValueCountFrequency (%)
2 416
33.9%
1 303
24.7%
3 154
 
12.6%
4 105
 
8.6%
5 91
 
7.4%
6 49
 
4.0%
7 39
 
3.2%
8 30
 
2.4%
0 21
 
1.7%
9 18
 
1.5%
Other Punctuation
ValueCountFrequency (%)
@ 48
77.4%
. 6
 
9.7%
& 5
 
8.1%
? 3
 
4.8%
Space Separator
ValueCountFrequency (%)
1089
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Math Symbol
ValueCountFrequency (%)
+ 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 75204
96.3%
Common 2524
 
3.2%
Latin 398
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2966
 
3.9%
어 2851
 
3.8%
지 2287
 
3.0%
교 2280
 
3.0%
초 2077
 
2.8%
학 2005
 
2.7%
당 1989
 
2.6%
등 1937
 
2.6%
센 1933
 
2.6%
터 1926
 
2.6%
Other values (396) 52953
70.4%
Latin
ValueCountFrequency (%)
A 139
34.9%
P 38
 
9.5%
T 38
 
9.5%
e 18
 
4.5%
K 17
 
4.3%
G 16
 
4.0%
s 12
 
3.0%
S 12
 
3.0%
g 11
 
2.8%
h 11
 
2.8%
Other values (15) 86
21.6%
Common
ValueCountFrequency (%)
1089
43.1%
2 416
 
16.5%
1 303
 
12.0%
3 154
 
6.1%
4 105
 
4.2%
5 91
 
3.6%
( 59
 
2.3%
) 59
 
2.3%
6 49
 
1.9%
@ 48
 
1.9%
Other values (9) 151
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 75204
96.3%
ASCII 2922
 
3.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 2966
 
3.9%
어 2851
 
3.8%
지 2287
 
3.0%
교 2280
 
3.0%
초 2077
 
2.8%
학 2005
 
2.7%
당 1989
 
2.6%
등 1937
 
2.6%
센 1933
 
2.6%
터 1926
 
2.6%
Other values (396) 52953
70.4%
ASCII
ValueCountFrequency (%)
1089
37.3%
2 416
 
14.2%
1 303
 
10.4%
3 154
 
5.3%
A 139
 
4.8%
4 105
 
3.6%
5 91
 
3.1%
( 59
 
2.0%
) 59
 
2.0%
6 49
 
1.7%
Other values (34) 458
15.7%

주소
Text

Distinct1418
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T11:18:36.717319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38.5
Mean length19.8858
Min length9

Characters and Unicode

Total characters198858
Distinct characters337
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울특별시 종로구 옥인길 23-4 (누상동)
2nd row서울특별시 강동구 천호대로 1210 은선빌딩 4층
3rd row서울특별시 강서구 강서로45길 174 SM타워 4층
4th row서울특별시 동대문구 천호대로177
5th row서울특별시 노원구 덕릉로 74길 23
ValueCountFrequency (%)
서울특별시 9935
 
23.8%
성북구 700
 
1.7%
송파구 687
 
1.6%
성동구 617
 
1.5%
동대문구 605
 
1.5%
광진구 532
 
1.3%
동작구 519
 
1.2%
중랑구 481
 
1.2%
노원구 477
 
1.1%
관악구 471
 
1.1%
Other values (1803) 26675
64.0%
2024-05-18T11:18:38.663227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31742
 
16.0%
서 11562
 
5.8%
구 10542
 
5.3%
시 10090
 
5.1%
울 10030
 
5.0%
특 9940
 
5.0%
별 9940
 
5.0%
로 9829
 
4.9%
1 7978
 
4.0%
길 6319
 
3.2%
Other values (327) 80886
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 127716
64.2%
Decimal Number 36803
 
18.5%
Space Separator 31742
 
16.0%
Dash Punctuation 1606
 
0.8%
Open Punctuation 324
 
0.2%
Close Punctuation 324
 
0.2%
Other Punctuation 253
 
0.1%
Uppercase Letter 78
 
< 0.1%
Lowercase Letter 6
 
< 0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 11562
 
9.1%
구 10542
 
8.3%
시 10090
 
7.9%
울 10030
 
7.9%
특 9940
 
7.8%
별 9940
 
7.8%
로 9829
 
7.7%
길 6319
 
4.9%
동 3691
 
2.9%
대 1844
 
1.4%
Other values (300) 43929
34.4%
Decimal Number
ValueCountFrequency (%)
1 7978
21.7%
2 5256
14.3%
3 4324
11.7%
4 3552
9.7%
5 3208
8.7%
6 3123
 
8.5%
7 2515
 
6.8%
0 2377
 
6.5%
8 2256
 
6.1%
9 2214
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
A 24
30.8%
F 18
23.1%
I 12
15.4%
M 6
 
7.7%
S 6
 
7.7%
L 6
 
7.7%
G 6
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 197
77.9%
? 26
 
10.3%
. 24
 
9.5%
@ 6
 
2.4%
Space Separator
ValueCountFrequency (%)
31742
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1606
100.0%
Open Punctuation
ValueCountFrequency (%)
( 324
100.0%
Close Punctuation
ValueCountFrequency (%)
) 324
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 127716
64.2%
Common 71058
35.7%
Latin 84
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 11562
 
9.1%
구 10542
 
8.3%
시 10090
 
7.9%
울 10030
 
7.9%
특 9940
 
7.8%
별 9940
 
7.8%
로 9829
 
7.7%
길 6319
 
4.9%
동 3691
 
2.9%
대 1844
 
1.4%
Other values (300) 43929
34.4%
Common
ValueCountFrequency (%)
31742
44.7%
1 7978
 
11.2%
2 5256
 
7.4%
3 4324
 
6.1%
4 3552
 
5.0%
5 3208
 
4.5%
6 3123
 
4.4%
7 2515
 
3.5%
0 2377
 
3.3%
8 2256
 
3.2%
Other values (9) 4727
 
6.7%
Latin
ValueCountFrequency (%)
A 24
28.6%
F 18
21.4%
I 12
14.3%
M 6
 
7.1%
S 6
 
7.1%
e 6
 
7.1%
L 6
 
7.1%
G 6
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 127716
64.2%
ASCII 71142
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31742
44.6%
1 7978
 
11.2%
2 5256
 
7.4%
3 4324
 
6.1%
4 3552
 
5.0%
5 3208
 
4.5%
6 3123
 
4.4%
7 2515
 
3.5%
0 2377
 
3.3%
8 2256
 
3.2%
Other values (17) 4811
 
6.8%
Hangul
ValueCountFrequency (%)
서 11562
 
9.1%
구 10542
 
8.3%
시 10090
 
7.9%
울 10030
 
7.9%
특 9940
 
7.8%
별 9940
 
7.8%
로 9829
 
7.7%
길 6319
 
4.9%
동 3691
 
2.9%
대 1844
 
1.4%
Other values (300) 43929
34.4%

전화번호
Text

MISSING 

Distinct1242
Distinct (%)13.6%
Missing892
Missing (%)8.9%
Memory size156.2 KiB
2024-05-18T11:18:39.693870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length10.982762
Min length1

Characters and Unicode

Total characters100031
Distinct characters18
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02-738-6711
2nd row02-475-8808
3rd row02-2667-8890
4th row02-3391-3303
5th row02-595-9612
ValueCountFrequency (%)
336
 
3.7%
02-578-1515 97
 
1.1%
02-466-6242 78
 
0.9%
02-2603-1792 57
 
0.6%
02-2649-8813 51
 
0.6%
02-584-5415 50
 
0.5%
02-838-4600 46
 
0.5%
02-2286-7054 39
 
0.4%
02-2690-8762 36
 
0.4%
02-2234-3517 35
 
0.4%
Other values (1232) 8283
90.9%
2024-05-18T11:18:41.066692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 17589
17.6%
2 16484
16.5%
0 15984
16.0%
4 7231
7.2%
3 6821
 
6.8%
1 6337
 
6.3%
9 6265
 
6.3%
8 5961
 
6.0%
6 5960
 
6.0%
7 5741
 
5.7%
Other values (8) 5658
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 82333
82.3%
Dash Punctuation 17589
 
17.6%
Other Letter 68
 
0.1%
Close Punctuation 18
 
< 0.1%
Math Symbol 17
 
< 0.1%
Other Punctuation 6
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 16484
20.0%
0 15984
19.4%
4 7231
8.8%
3 6821
8.3%
1 6337
 
7.7%
9 6265
 
7.6%
8 5961
 
7.2%
6 5960
 
7.2%
7 5741
 
7.0%
5 5549
 
6.7%
Other Letter
ValueCountFrequency (%)
휴 17
25.0%
대 17
25.0%
전 17
25.0%
화 17
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 17589
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Math Symbol
ValueCountFrequency (%)
~ 17
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 99963
99.9%
Hangul 68
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 17589
17.6%
2 16484
16.5%
0 15984
16.0%
4 7231
7.2%
3 6821
 
6.8%
1 6337
 
6.3%
9 6265
 
6.3%
8 5961
 
6.0%
6 5960
 
6.0%
7 5741
 
5.7%
Other values (4) 5590
 
5.6%
Hangul
ValueCountFrequency (%)
휴 17
25.0%
대 17
25.0%
전 17
25.0%
화 17
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 99963
99.9%
Hangul 68
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 17589
17.6%
2 16484
16.5%
0 15984
16.0%
4 7231
7.2%
3 6821
 
6.8%
1 6337
 
6.3%
9 6265
 
6.3%
8 5961
 
6.0%
6 5960
 
6.0%
7 5741
 
5.7%
Other values (4) 5590
 
5.6%
Hangul
ValueCountFrequency (%)
휴 17
25.0%
대 17
25.0%
전 17
25.0%
화 17
25.0%

기관 홈페이지
Text

MISSING 

Distinct527
Distinct (%)13.3%
Missing6023
Missing (%)60.2%
Memory size156.2 KiB
2024-05-18T11:18:41.725531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length100
Median length62
Mean length27.941665
Min length1

Characters and Unicode

Total characters111124
Distinct characters104
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

Unique0 ?
Unique (%)0.0%

Sample

1st rowhttps://blog.naver.com/gangseohope
2nd rowhttp://bangbae.sen.es.kr
3rd rowhttp://mdcare.or.kr/
4th rowhttp://www.gangbuk.or.kr/
5th rowhttps://jamhyun.sen.es.kr/
ValueCountFrequency (%)
113
 
2.8%
http://www.shinjung.or.kr 62
 
1.6%
http://www.gurosenior.or.kr 58
 
1.5%
http://www.ycnoin.org 57
 
1.4%
http://www.yssenior.co.kr 47
 
1.2%
http://www.han-bit.or.kr 36
 
0.9%
http://www.sinwc.or.kr 34
 
0.9%
http://www.bookboo.or.kr 28
 
0.7%
http://www.gdsw.or.kr 24
 
0.6%
http://www.yurak.or.kr 23
 
0.6%
Other values (512) 3501
87.9%
2024-05-18T11:18:42.858375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 11381
 
10.2%
/ 10337
 
9.3%
t 7477
 
6.7%
o 6890
 
6.2%
e 6601
 
5.9%
n 6587
 
5.9%
w 6569
 
5.9%
s 6471
 
5.8%
r 5865
 
5.3%
h 4777
 
4.3%
Other values (94) 38169
34.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 81933
73.7%
Other Punctuation 25265
 
22.7%
Decimal Number 2688
 
2.4%
Dash Punctuation 354
 
0.3%
Uppercase Letter 314
 
0.3%
Other Letter 245
 
0.2%
Math Symbol 209
 
0.2%
Connector Punctuation 98
 
0.1%
Space Separator 6
 
< 0.1%
Open Punctuation 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 20
 
8.2%
없 14
 
5.7%
원 10
 
4.1%
데 6
 
2.4%
안 6
 
2.4%
나 6
 
2.4%
케 6
 
2.4%
이 6
 
2.4%
지 6
 
2.4%
어 6
 
2.4%
Other values (29) 159
64.9%
Lowercase Letter
ValueCountFrequency (%)
t 7477
 
9.1%
o 6890
 
8.4%
e 6601
 
8.1%
n 6587
 
8.0%
w 6569
 
8.0%
s 6471
 
7.9%
r 5865
 
7.2%
h 4777
 
5.8%
p 3913
 
4.8%
k 3885
 
4.7%
Other values (16) 22898
27.9%
Uppercase Letter
ValueCountFrequency (%)
C 125
39.8%
M 43
 
13.7%
D 17
 
5.4%
I 17
 
5.4%
N 16
 
5.1%
K 12
 
3.8%
J 12
 
3.8%
X 12
 
3.8%
B 11
 
3.5%
H 10
 
3.2%
Other values (7) 39
 
12.4%
Decimal Number
ValueCountFrequency (%)
0 784
29.2%
1 458
17.0%
2 258
 
9.6%
9 241
 
9.0%
8 207
 
7.7%
5 201
 
7.5%
3 163
 
6.1%
4 149
 
5.5%
6 128
 
4.8%
7 99
 
3.7%
Other Punctuation
ValueCountFrequency (%)
. 11381
45.0%
/ 10337
40.9%
: 3317
 
13.1%
? 198
 
0.8%
& 21
 
0.1%
# 11
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 354
100.0%
Math Symbol
ValueCountFrequency (%)
= 209
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 98
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 82247
74.0%
Common 28632
 
25.8%
Hangul 245
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 7477
 
9.1%
o 6890
 
8.4%
e 6601
 
8.0%
n 6587
 
8.0%
w 6569
 
8.0%
s 6471
 
7.9%
r 5865
 
7.1%
h 4777
 
5.8%
p 3913
 
4.8%
k 3885
 
4.7%
Other values (33) 23212
28.2%
Hangul
ValueCountFrequency (%)
음 20
 
8.2%
없 14
 
5.7%
원 10
 
4.1%
데 6
 
2.4%
안 6
 
2.4%
나 6
 
2.4%
케 6
 
2.4%
이 6
 
2.4%
지 6
 
2.4%
어 6
 
2.4%
Other values (29) 159
64.9%
Common
ValueCountFrequency (%)
. 11381
39.7%
/ 10337
36.1%
: 3317
 
11.6%
0 784
 
2.7%
1 458
 
1.6%
- 354
 
1.2%
2 258
 
0.9%
9 241
 
0.8%
= 209
 
0.7%
8 207
 
0.7%
Other values (12) 1086
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 110879
99.8%
Hangul 245
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 11381
 
10.3%
/ 10337
 
9.3%
t 7477
 
6.7%
o 6890
 
6.2%
e 6601
 
6.0%
n 6587
 
5.9%
w 6569
 
5.9%
s 6471
 
5.8%
r 5865
 
5.3%
h 4777
 
4.3%
Other values (55) 37924
34.2%
Hangul
ValueCountFrequency (%)
음 20
 
8.2%
없 14
 
5.7%
원 10
 
4.1%
데 6
 
2.4%
안 6
 
2.4%
나 6
 
2.4%
케 6
 
2.4%
이 6
 
2.4%
지 6
 
2.4%
어 6
 
2.4%
Other values (29) 159
64.9%

Interactions

2024-05-18T11:18:19.307656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-18T11:18:43.102939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호지역구제목대상참가규모(명)
일련번호1.0000.9920.3840.5920.676
지역구0.9921.0000.5840.7460.817
제목0.3840.5841.0000.8120.495
대상0.5920.7460.8121.0000.718
참가규모(명)0.6760.8170.4950.7181.000
2024-05-18T11:18:43.410642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대상제목지역구
대상1.0000.4580.266
제목0.4581.0000.269
지역구0.2660.2691.000
2024-05-18T11:18:43.646094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호지역구제목대상
일련번호1.0000.9510.1850.250
지역구0.9511.0000.2690.266
제목0.1850.2691.0000.458
대상0.2500.2660.4581.000

Missing values

2024-05-18T11:18:19.867571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T11:18:20.649270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-05-18T11:18:21.086667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

일련번호지역구제목내용대상종목일시장소참가규모(명)수혜기관명주소전화번호기관 홈페이지
53434286종로일반체육활동사업교구를 이용한 유아신체활동유아유아체육월 13:00~13:40/ 수 13:00~13:40누상어린이집10명누상어린이집서울특별시 종로구 옥인길 23-4 (누상동)02-738-6711<NA>
406660강동어르신체육활동사업어르신체육활동사업어르신스트레칭수 10:50~11:30미르사랑데이케어센터20명미르사랑데이케어센터서울특별시 강동구 천호대로 1210 은선빌딩 4층02-475-8808<NA>
25035774강서어르신체육활동사업생활체조어르신생활체조화 14:00~14:40강서희망데이케어30명강서희망데이케어서울특별시 강서구 강서로45길 174 SM타워 4층02-2667-8890https://blog.naver.com/gangseohope
67634773동대문일반체육활동사업일반일반학교체육금 14:00~16:00신답초등학교20명신답초등학교서울특별시 동대문구 천호대로177<NA><NA>
63225378노원일반체육활동사업일반체육활동사업유소년유아체육목 10:00~10:40/ 목 10:40~11:20중계4동어린이집20중계4동어린이집서울특별시 노원구 덕릉로 74길 2302-3391-3303<NA>
90326585송파어르신체육활동사업생활체조어르신생활체조금 14:40~15:20백토경로당15명백토경로당서울특별시 송파구 양재대로72길 47-8<NA><NA>
56356340서초일반체육활동사업일반사업유소년학교체육수 14:00~14:50방배초등학교20명방배초등학교서울특별시 서초구 방배중앙로13길 2602-595-9612http://bangbae.sen.es.kr
92916254관악일반체육활동사업생활체육유소년생활체육화 10:30~11:10 / 화 11:10~11:50신림어린이집15명신림어린이집서울특별시 관악구 난곡로 6702-853-4487<NA>
7115796강서일반체육활동사업일반체육활동사업일반헬스월 10:00~10:40/ 수 09:30~10:40/ 수 10:40~11:50등촌2동주민센터헬스장10명등촌2동주민센터서울특별시 강서구 등촌로 14302-2600-7395<NA>
61275687양천어르신체육활동사업생활체조어르신생활체조월 14:30~15:10목동중앙데이케어센터40명목동중앙데이케어센터서울특별시 양천구 목동중앙북로7가길 60 5층02-2654-9712http://mdcare.or.kr/
일련번호지역구제목내용대상종목일시장소참가규모(명)수혜기관명주소전화번호기관 홈페이지
53394311중구일반체육활동사업헬스일반헬스화 14:00~14:40/ 목 14:00~14:40다산동주민센터15명다산동주민센터서울특별시 중구 동호로 15길5002-3396-6740http://www.junggu.seoul.kr/dong/dasan/main.do
104344592성동어르신체육활동사업체조 및 근력운동어르신건강체조목 13:00~14:00신금호파크자이 경로당23명신금호자이파크서울특별시 성동구 금호로 173<NA><NA>
54806568송파어르신체육활동사업세라밴드어르신세라밴드목 14:00~14:40송파실벗뜨락20명송파실벗뜨락서울특별시 송파구 백제고분로42길 502-2203-3330http://www.songpasilbeot.or.kr/
10505203도봉일반체육활동사업뉴스포츠유소년뉴스포츠금 14:30~15:50월천초등학교30명월천초등학교 돌봄교실서울특별시 도봉구 노해로70길 9602-993-9448<NA>
41845883구로일반체육활동사업일반체육활동사업일반뉴스포츠월 14:30~16:00오류남초등학교 돌봄교실80명오류남초등학교 돌봄교실서울특별시 구로구 서해안로24길 2202-2687-0221http://oryunam.sen.es.kr/
101774944중랑어르신체육활동사업생활체조어르신생활체조화 11:00~11:40이편한세상화랑대 APT 경로당20명이편한세상화랑대 APT 경로당서울특별시 중랑구 숙선옹주로 4502-979-7656<NA>
27605327노원일반체육활동사업일반체육활동사업일반학교체육목 16:50~17:30월계복지관8월계복지관서울특별시 노원구 초안산로 1길 51<NA><NA>
31974769동대문어르신체육활동사업일반어르신체조월 14:00~15:00명성경로당20명명성경로당서울특별시 동대문구 무학로 28길 22-2<NA><NA>
98215495서대문어르신체육활동사업어르신체육활동사업어르신스트레칭, 테라밴드수 10:20~11:40행복드림데이케어센터30행복드림데이케어센터서울특별시 서대문구 응암로 7302-374-6225<NA>
80685488서대문어르신체육활동사업어르신체육활동사업어르신보디빌딩월 13:00~15:00/ 수 09:00~11:00연희동주민자치센터20연희동주민자치센터서울특별시 서대문구 증가로 13-1002-330-8243<NA>

Duplicate rows

Most frequently occurring

일련번호지역구제목내용대상종목일시장소참가규모(명)수혜기관명주소전화번호기관 홈페이지# duplicates
34207종로어르신체육활동사업체조 및 운동기구 사용방법 안내어르신체조 및 헬스월,화,수,목 13:30~14:10/14:20~15:00종로노인복지센터20명종로노인복지센터서울특별시 종로구 율곡로19길 17-802-742-9500http://www.jongnonoin.or.kr/6
44209종로어르신체육활동사업체조 및 근력운동어르신요가월,금 10:50~11:30청운요양원15명청운요양원서울특별시 종로구 비봉길 7602-379-9232www.chungwoon.or.kr6
64212종로어르신체육활동사업생활체조어르신생활체조월,수 16:00~16:50현대원서공원17명어르신(개인 신청)서울특별시 종로구 창덕궁길 19<NA><NA>6
74213종로어르신체육활동사업체조 및 근력운동어르신체조 및 근력운동화 10:00~11:00보현데이케어17명보현데이케어서울특별시 종로구 평창4길 21-2202-394-5511<NA>6
84214종로어르신체육활동사업스트레칭 및 근력운동어르신스트레칭 및 근력운동수 11:40~12:30종로성당20명종로성당서울특별시 종로구 동순라길 8<NA><NA>6
94215종로일반체육활동사업교구를 이용한 유아신체활동유아유아체육월 13:10~13:50/ 월 13:50~14:30서울청사 한빛어린이집16명서울청사 한빛어린이집서울특별시 종로구 효자로 39-02-735-6400<NA>6
114217종로어르신체육활동사업체조 및 근력운동어르신세라밴드목 15:00~15:50종로종합사회복지관17명종로종합사회복지관서울특별시 종로구 지봉로13길 82-창신3동 23-344<NA>http://www.jongno.or.kr/6
134219종로일반체육활동사업교구를 이용한 유아신체활동유아유아체육월 13:00~13:40사직어린이집12명사직어린이집서울특별시 종로구 필운대로1길 16-802-720-0798<NA>6
144220종로일반체육활동사업초등신체활동초등학생생활체육월 15:00~15:40/15:40~16:20해송지역아동센터15명해송지역아동센터서울특별시 종로구 낙산성곽동길 59-10 해송공부방02-762-9201<NA>6
154224종로일반체육활동사업초등신체활동초등학생생활체육수 14:30~15:20/15:30~16:20매동초등학교(돌봄교실)16명매동초등학교(돌봄교실)서울특별시 종로구 사직로9길 1902-737-4263maedong.sen.es.kr6