Overview

Dataset statistics

Number of variables6
Number of observations53
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory52.5 B

Variable types

Numeric2
Categorical3
Text1

Dataset

Description2022년 8월 19일 기준의 데이터로, 연구개발특구진흥재단의 회의실 정보 데이터입니다. 회의실명, 수용인원, 부대시설 등의 데이터를 보유하고 있습니다. 해당 데이터가 보유한 칼럼은 다음과 같습니다. 칼럼명 : 구분, 특구구분, 회의실명, 수용인원, 부대시설, 현수막
Author(재)연구개발특구진흥재단
URLhttps://www.data.go.kr/data/15089830/fileData.do

Alerts

구분 is highly overall correlated with 특구구분 and 1 other fieldsHigh correlation
수용인원 is highly overall correlated with 현수막High correlation
특구구분 is highly overall correlated with 구분 and 1 other fieldsHigh correlation
부대시설 is highly overall correlated with 구분 and 2 other fieldsHigh correlation
현수막 is highly overall correlated with 수용인원 and 1 other fieldsHigh correlation
구분 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:26:46.425385
Analysis finished2023-12-12 18:26:47.258347
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27
Minimum1
Maximum53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-13T03:26:47.348192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.6
Q114
median27
Q340
95-th percentile50.4
Maximum53
Range52
Interquartile range (IQR)26

Descriptive statistics

Standard deviation15.443445
Coefficient of variation (CV)0.57197945
Kurtosis-1.2
Mean27
Median Absolute Deviation (MAD)13
Skewness0
Sum1431
Variance238.5
MonotonicityStrictly increasing
2023-12-13T03:26:47.483058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
41 1
 
1.9%
30 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
Other values (43) 43
81.1%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
53 1
1.9%
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%
44 1
1.9%

특구구분
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
MEET003
13 
MEET001
12 
MEET007
MEET004
MEET005
Other values (4)
10 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMEET001
2nd rowMEET001
3rd rowMEET001
4th rowMEET001
5th rowMEET001

Common Values

ValueCountFrequency (%)
MEET003 13
24.5%
MEET001 12
22.6%
MEET007 8
15.1%
MEET004 6
11.3%
MEET005 4
 
7.5%
MEET006 3
 
5.7%
MEET009 3
 
5.7%
MEET008 2
 
3.8%
MEET010 2
 
3.8%

Length

2023-12-13T03:26:47.611430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:26:47.729985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
meet003 13
24.5%
meet001 12
22.6%
meet007 8
15.1%
meet004 6
11.3%
meet005 4
 
7.5%
meet006 3
 
5.7%
meet009 3
 
5.7%
meet008 2
 
3.8%
meet010 2
 
3.8%
Distinct52
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-13T03:26:48.028986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length26
Mean length12.849057
Min length4

Characters and Unicode

Total characters681
Distinct characters87
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

Unique51 ?
Unique (%)96.2%

Sample

1st row콜라보홀(102호)
2nd row대회의실(412호)
3rd row중회의실(405호)
4th row소회의실1(408호)
5th row소회의실2(409호)
ValueCountFrequency (%)
sb플라자 7
 
6.5%
2층 6
 
5.6%
space-n 5
 
4.6%
1층 4
 
3.7%
회의실 4
 
3.7%
청주 3
 
2.8%
스페이스 3
 
2.8%
bcc(네트워크 3
 
2.8%
중회의실 2
 
1.9%
교육실 2
 
1.9%
Other values (66) 69
63.9%
2023-12-13T03:26:48.409269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
56
 
8.2%
) 40
 
5.9%
( 40
 
5.9%
40
 
5.9%
2 37
 
5.4%
36
 
5.3%
36
 
5.3%
31
 
4.6%
0 30
 
4.4%
1 21
 
3.1%
Other values (77) 314
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 330
48.5%
Decimal Number 133
19.5%
Uppercase Letter 71
 
10.4%
Space Separator 56
 
8.2%
Close Punctuation 41
 
6.0%
Open Punctuation 41
 
6.0%
Dash Punctuation 7
 
1.0%
Math Symbol 1
 
0.1%
Control 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
40
 
12.1%
36
 
10.9%
36
 
10.9%
31
 
9.4%
17
 
5.2%
10
 
3.0%
10
 
3.0%
8
 
2.4%
8
 
2.4%
7
 
2.1%
Other values (49) 127
38.5%
Decimal Number
ValueCountFrequency (%)
2 37
27.8%
0 30
22.6%
1 21
15.8%
4 12
 
9.0%
3 8
 
6.0%
8 8
 
6.0%
5 6
 
4.5%
6 4
 
3.0%
7 4
 
3.0%
9 3
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
C 19
26.8%
B 15
21.1%
S 12
16.9%
A 6
 
8.5%
P 6
 
8.5%
E 5
 
7.0%
N 5
 
7.0%
V 1
 
1.4%
I 1
 
1.4%
F 1
 
1.4%
Close Punctuation
ValueCountFrequency (%)
) 40
97.6%
] 1
 
2.4%
Open Punctuation
ValueCountFrequency (%)
( 40
97.6%
[ 1
 
2.4%
Space Separator
ValueCountFrequency (%)
56
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 330
48.5%
Common 280
41.1%
Latin 71
 
10.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
40
 
12.1%
36
 
10.9%
36
 
10.9%
31
 
9.4%
17
 
5.2%
10
 
3.0%
10
 
3.0%
8
 
2.4%
8
 
2.4%
7
 
2.1%
Other values (49) 127
38.5%
Common
ValueCountFrequency (%)
56
20.0%
) 40
14.3%
( 40
14.3%
2 37
13.2%
0 30
10.7%
1 21
 
7.5%
4 12
 
4.3%
3 8
 
2.9%
8 8
 
2.9%
- 7
 
2.5%
Other values (8) 21
 
7.5%
Latin
ValueCountFrequency (%)
C 19
26.8%
B 15
21.1%
S 12
16.9%
A 6
 
8.5%
P 6
 
8.5%
E 5
 
7.0%
N 5
 
7.0%
V 1
 
1.4%
I 1
 
1.4%
F 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 351
51.5%
Hangul 330
48.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
56
16.0%
) 40
11.4%
( 40
11.4%
2 37
10.5%
0 30
8.5%
1 21
 
6.0%
C 19
 
5.4%
B 15
 
4.3%
S 12
 
3.4%
4 12
 
3.4%
Other values (18) 69
19.7%
Hangul
ValueCountFrequency (%)
40
 
12.1%
36
 
10.9%
36
 
10.9%
31
 
9.4%
17
 
5.2%
10
 
3.0%
10
 
3.0%
8
 
2.4%
8
 
2.4%
7
 
2.1%
Other values (49) 127
38.5%

수용인원
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)45.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.226415
Minimum4
Maximum217
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-13T03:26:48.527109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile7.2
Q112
median16
Q332
95-th percentile84
Maximum217
Range213
Interquartile range (IQR)20

Descriptive statistics

Standard deviation39.165154
Coefficient of variation (CV)1.2542315
Kurtosis12.528404
Mean31.226415
Median Absolute Deviation (MAD)8
Skewness3.3232569
Sum1655
Variance1533.9093
MonotonicityNot monotonic
2023-12-13T03:26:48.646544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
12 8
15.1%
16 6
 
11.3%
30 5
 
9.4%
8 4
 
7.5%
9 4
 
7.5%
20 3
 
5.7%
25 2
 
3.8%
32 2
 
3.8%
40 2
 
3.8%
6 2
 
3.8%
Other values (14) 15
28.3%
ValueCountFrequency (%)
4 1
 
1.9%
6 2
 
3.8%
8 4
7.5%
9 4
7.5%
12 8
15.1%
13 1
 
1.9%
15 1
 
1.9%
16 6
11.3%
18 1
 
1.9%
20 3
 
5.7%
ValueCountFrequency (%)
217 1
1.9%
180 1
1.9%
90 1
1.9%
80 2
3.8%
70 1
1.9%
60 1
1.9%
50 1
1.9%
46 1
1.9%
40 2
3.8%
35 1
1.9%

부대시설
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)47.2%
Missing0
Missing (%)0.0%
Memory size556.0 B
빔프로젝트(이동식), 스크린
빔프로젝트, 스크린, 마이크
카페라운지, PC, 프린터, 이동식 화상회의 장비
빔프로젝터, 스크린
빔프로젝트, 스크린, 마이크(유무선), 조명
 
3
Other values (20)
31 

Length

Max length40
Median length27
Mean length17.415094
Min length2

Unique

Unique10 ?
Unique (%)18.9%

Sample

1st row빔프로젝트, 스크린, 마이크(유무선), 조명
2nd row빔프로젝트, 스크린, PC, 마이크(유무선)
3rd row빔프로젝트, 스크린, 마이크(유무선)
4th row빔프로젝트, 스피커(소형)
5th row빔프로젝트, 스피커(소형)

Common Values

ValueCountFrequency (%)
빔프로젝트(이동식), 스크린 6
 
11.3%
빔프로젝트, 스크린, 마이크 5
 
9.4%
카페라운지, PC, 프린터, 이동식 화상회의 장비 4
 
7.5%
빔프로젝터, 스크린 4
 
7.5%
빔프로젝트, 스크린, 마이크(유무선), 조명 3
 
5.7%
빔프로젝트, 스크린, PC, 마이크(유무선) 3
 
5.7%
빔, 스크린, 인터넷 등 2
 
3.8%
빔프로젝터, 마이크, 카페라운지, PC, 프린터 2
 
3.8%
빔프로젝트, 스피커(소형) 2
 
3.8%
TV설비, 개별냉난방 2
 
3.8%
Other values (15) 20
37.7%

Length

2023-12-13T03:26:48.801424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
스크린 34
19.3%
빔프로젝트 24
13.6%
마이크 14
 
8.0%
pc 10
 
5.7%
카페라운지 7
 
4.0%
프린터 7
 
4.0%
빔프로젝터 7
 
4.0%
마이크(유무선 7
 
4.0%
빔프로젝트(이동식 6
 
3.4%
이동식 5
 
2.8%
Other values (33) 55
31.2%

현수막
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)28.3%
Missing0
Missing (%)0.0%
Memory size556.0 B
불가
19 
설치불가
현수막규격(600cm × 100cm)
300×45cm(현수막 설치 미 추천)
가능
Other values (10)
13 

Length

Max length40
Median length39
Mean length11.981132
Min length2

Unique

Unique7 ?
Unique (%)13.2%

Sample

1st row현수막규격(500~600cm × 50cm)
2nd row현수막규격(600cm × 100cm)
3rd row현수막규격(600cm × 100cm)
4th row현수막규격(600cm × 100cm)
5th row현수막규격(600cm × 100cm)

Common Values

ValueCountFrequency (%)
불가 19
35.8%
설치불가 7
 
13.2%
현수막규격(600cm × 100cm) 6
 
11.3%
300×45cm(현수막 설치 미 추천) 5
 
9.4%
가능 3
 
5.7%
300×45cm(앞), 450×60cm(옆, 뒤) 2
 
3.8%
현수 막(500~600cm x 50cm) 2
 
3.8%
현수막 사용 불가(별도문의) 2
 
3.8%
현수막규격(500~600cm × 50cm) 1
 
1.9%
800×60cm(앞), 800×550cm(백월) 1
 
1.9%
Other values (5) 5
 
9.4%

Length

2023-12-13T03:26:48.947835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
불가 19
17.0%
× 7
 
6.2%
설치불가 7
 
6.2%
현수막규격(600cm 6
 
5.4%
100cm 6
 
5.4%
설치 6
 
5.4%
6
 
5.4%
추천 6
 
5.4%
300×45cm(현수막 5
 
4.5%
300×45cm(앞 4
 
3.6%
Other values (21) 40
35.7%

Interactions

2023-12-13T03:26:46.906038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:26:46.728930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:26:46.997528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:26:46.811126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:26:49.037143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분특구구분회의실명수용인원부대시설현수막
구분1.0000.8760.9250.0000.9290.847
특구구분0.8761.0000.4630.0000.9450.801
회의실명0.9250.4631.0000.9770.9750.960
수용인원0.0000.0000.9771.0000.8740.830
부대시설0.9290.9450.9750.8741.0000.943
현수막0.8470.8010.9600.8300.9431.000
2023-12-13T03:26:49.169220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부대시설특구구분현수막
부대시설1.0000.5980.553
특구구분0.5981.0000.447
현수막0.5530.4471.000
2023-12-13T03:26:49.270548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분수용인원특구구분부대시설현수막
구분1.000-0.0460.6290.5170.478
수용인원-0.0461.0000.0000.4740.513
특구구분0.6290.0001.0000.5980.447
부대시설0.5170.4740.5981.0000.553
현수막0.4780.5130.4470.5531.000

Missing values

2023-12-13T03:26:47.105786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:26:47.214639image/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.

Sample

구분특구구분회의실명수용인원부대시설현수막
01MEET001콜라보홀(102호)90빔프로젝트, 스크린, 마이크(유무선), 조명현수막규격(500~600cm × 50cm)
12MEET001대회의실(412호)60빔프로젝트, 스크린, PC, 마이크(유무선)현수막규격(600cm × 100cm)
23MEET001중회의실(405호)18빔프로젝트, 스크린, 마이크(유무선)현수막규격(600cm × 100cm)
34MEET001소회의실1(408호)12빔프로젝트, 스피커(소형)현수막규격(600cm × 100cm)
45MEET001소회의실2(409호)12빔프로젝트, 스피커(소형)현수막규격(600cm × 100cm)
56MEET001교육실1(407호)32빔프로젝트, 스크린, PC, 마이크(유무선)현수막규격(600cm × 100cm)
67MEET001교육실2(410호)32빔프로젝트, 스크린, PC, 마이크(유무선)현수막규격(600cm × 100cm)
78MEET001SPACE-N 회의실 14없음불가
89MEET001SPACE-N 회의실 26TV설비, 개별 냉난방불가
910MEET001SPACE-N 회의실 36TV설비, 개별냉난방불가
구분특구구분회의실명수용인원부대시설현수막
4344MEET0077층 회의실(708호)16빔프로젝터, 스크린설치불가
4445MEET0078층 회의실(808호)16빔프로젝터, 스크린설치불가
4546MEET0079층회의실(다목적홀)40빔프로젝트, 스크린, 마이크(유,무선)(앞)설치불가/ (뒤)전동현수막게시대 /(좌)설치불가 / (우)설치불가
4647MEET008세종 SB플라자 2층 BCC 공간 내 회의실(크리에이티브룸)8카페라운지, PC, 프린터, 이동식 화상회의 장비불가
4748MEET008세종 SB플라자 2층 BCC(네트워크 스페이스)30빔프로젝터, 마이크, 카페라운지, PC, 프린터불가
4849MEET009청주 SB플라자 1층 BCC(코워킹라운지)-회의공간 A8카페라운지, PC, 프린터, 이동식 화상회의 장비불가
4950MEET009청주 SB플라자 1층 BCC(네트워크 스페이스)30이동식 빔프로젝터, 마이크, 카페라운지, PC, 프린터불가
5051MEET009청주 SB플라자 1층 BCC(코워킹라운지)-회의공간 B8카페라운지, PC, 프린터, 이동식 화상회의 장비불가
5152MEET010천안 SB플라자 2층 BCC(크리에이티브룸)8카페라운지, PC, 프린터, 이동식 화상회의 장비불가
5253MEET010천안 SB플라자 2층 BCC(네트워크 스페이스)30빔프로젝터, 마이크, 카페라운지, PC, 프린터불가