Overview

Dataset statistics

Number of variables5
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory46.0 B

Variable types

Numeric2
Categorical2
Text1

Dataset

Description인천광역시 내 준회의시설(유니크베뉴)의 유형, 명칭, 소재지, 수용인원 등의 정보를 제공합니다. *유니크베뉴: 컨벤션센터 등 전문회의시설이 아닌 마이스 개최 도시의 독특한 매력을 가진 장소.
URLhttps://www.data.go.kr/data/15048954/fileData.do

Alerts

순 번 is highly overall correlated with 유 형 High correlation
유 형 is highly overall correlated with 순 번High correlation
순 번 has unique valuesUnique
명 칭 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:16:50.835171
Analysis finished2023-12-12 11:16:51.948879
Duration1.11 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순 번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17
Minimum1
Maximum33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-12T20:16:52.060476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.6
Q19
median17
Q325
95-th percentile31.4
Maximum33
Range32
Interquartile range (IQR)16

Descriptive statistics

Standard deviation9.6695398
Coefficient of variation (CV)0.56879646
Kurtosis-1.2
Mean17
Median Absolute Deviation (MAD)8
Skewness0
Sum561
Variance93.5
MonotonicityStrictly increasing
2023-12-12T20:16:52.288077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1 1
 
3.0%
26 1
 
3.0%
20 1
 
3.0%
21 1
 
3.0%
22 1
 
3.0%
23 1
 
3.0%
24 1
 
3.0%
25 1
 
3.0%
27 1
 
3.0%
2 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
1 1
3.0%
2 1
3.0%
3 1
3.0%
4 1
3.0%
5 1
3.0%
6 1
3.0%
7 1
3.0%
8 1
3.0%
9 1
3.0%
10 1
3.0%
ValueCountFrequency (%)
33 1
3.0%
32 1
3.0%
31 1
3.0%
30 1
3.0%
29 1
3.0%
28 1
3.0%
27 1
3.0%
26 1
3.0%
25 1
3.0%
24 1
3.0%

유 형
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
스포츠/기타
12 
역사문화유적/전시
11 
공연/레저
10 

Length

Max length9
Median length6
Mean length6.6969697
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공연/레저
2nd row공연/레저
3rd row공연/레저
4th row공연/레저
5th row공연/레저

Common Values

ValueCountFrequency (%)
스포츠/기타 12
36.4%
역사문화유적/전시 11
33.3%
공연/레저 10
30.3%

Length

2023-12-12T20:16:53.046847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:16:53.285853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
스포츠/기타 12
36.4%
역사문화유적/전시 11
33.3%
공연/레저 10
30.3%

명 칭
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T20:16:53.681381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length6.1515152
Min length2

Characters and Unicode

Total characters203
Distinct characters122
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

Unique33 ?
Unique (%)100.0%

Sample

1st row루빅
2nd row아트센터 인천
3rd row크로마
4th row트라이보울
5th rowBMW 드라이빙 센터
ValueCountFrequency (%)
인천 2
 
4.7%
루빅 1
 
2.3%
플라자광장 1
 
2.3%
경원루 1
 
2.3%
강화도령 1
 
2.3%
화문석체험관 1
 
2.3%
새라새 1
 
2.3%
일광전구 1
 
2.3%
라이트하우스 1
 
2.3%
인천글로벌캠퍼스 1
 
2.3%
Other values (32) 32
74.4%
2023-12-12T20:16:54.291059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10
 
4.9%
인 7
 
3.4%
라 6
 
3.0%
이 5
 
2.5%
트 5
 
2.5%
화 5
 
2.5%
천 5
 
2.5%
전 4
 
2.0%
관 4
 
2.0%
크 4
 
2.0%
Other values (112) 148
72.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 184
90.6%
Space Separator 10
 
4.9%
Decimal Number 6
 
3.0%
Uppercase Letter 3
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 7
 
3.8%
라 6
 
3.3%
이 5
 
2.7%
트 5
 
2.7%
화 5
 
2.7%
천 5
 
2.7%
전 4
 
2.2%
관 4
 
2.2%
크 4
 
2.2%
스 4
 
2.2%
Other values (103) 135
73.4%
Decimal Number
ValueCountFrequency (%)
4 2
33.3%
5 1
16.7%
6 1
16.7%
2 1
16.7%
0 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
W 1
33.3%
M 1
33.3%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 184
90.6%
Common 16
 
7.9%
Latin 3
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 7
 
3.8%
라 6
 
3.3%
이 5
 
2.7%
트 5
 
2.7%
화 5
 
2.7%
천 5
 
2.7%
전 4
 
2.2%
관 4
 
2.2%
크 4
 
2.2%
스 4
 
2.2%
Other values (103) 135
73.4%
Common
ValueCountFrequency (%)
10
62.5%
4 2
 
12.5%
5 1
 
6.2%
6 1
 
6.2%
2 1
 
6.2%
0 1
 
6.2%
Latin
ValueCountFrequency (%)
W 1
33.3%
M 1
33.3%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 184
90.6%
ASCII 19
 
9.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10
52.6%
4 2
 
10.5%
5 1
 
5.3%
6 1
 
5.3%
W 1
 
5.3%
M 1
 
5.3%
B 1
 
5.3%
2 1
 
5.3%
0 1
 
5.3%
Hangul
ValueCountFrequency (%)
인 7
 
3.8%
라 6
 
3.3%
이 5
 
2.7%
트 5
 
2.7%
화 5
 
2.7%
천 5
 
2.7%
전 4
 
2.2%
관 4
 
2.2%
크 4
 
2.2%
스 4
 
2.2%
Other values (103) 135
73.4%

소재지
Categorical

Distinct6
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
중구
13 
연수구
9 
강화군
6 
서구
2 
미추홀구
2 

Length

Max length4
Median length3
Mean length2.6060606
Min length2

Unique

Unique1 ?
Unique (%)3.0%

Sample

1st row중구
2nd row연수구
3rd row중구
4th row연수구
5th row중구

Common Values

ValueCountFrequency (%)
중구 13
39.4%
연수구 9
27.3%
강화군 6
18.2%
서구 2
 
6.1%
미추홀구 2
 
6.1%
남동구 1
 
3.0%

Length

2023-12-12T20:16:54.573603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:16:54.812376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중구 13
39.4%
연수구 9
27.3%
강화군 6
18.2%
서구 2
 
6.1%
미추홀구 2
 
6.1%
남동구 1
 
3.0%

수용인원(명)
Real number (ℝ)

Distinct21
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean919
Minimum40
Maximum10000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-12T20:16:55.050205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile56
Q1175
median236
Q3600
95-th percentile3441.2
Maximum10000
Range9960
Interquartile range (IQR)425

Descriptive statistics

Standard deviation1886.1762
Coefficient of variation (CV)2.0524225
Kurtosis17.364906
Mean919
Median Absolute Deviation (MAD)136
Skewness3.9022266
Sum30327
Variance3557660.8
MonotonicityNot monotonic
2023-12-12T20:16:55.243360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
200 6
18.2%
100 3
 
9.1%
340 2
 
6.1%
300 2
 
6.1%
1000 2
 
6.1%
80 2
 
6.1%
500 2
 
6.1%
236 1
 
3.0%
2300 1
 
3.0%
2473 1
 
3.0%
Other values (11) 11
33.3%
ValueCountFrequency (%)
40 1
 
3.0%
50 1
 
3.0%
60 1
 
3.0%
80 2
 
6.1%
100 3
9.1%
175 1
 
3.0%
180 1
 
3.0%
200 6
18.2%
236 1
 
3.0%
300 2
 
6.1%
ValueCountFrequency (%)
10000 1
3.0%
4103 1
3.0%
3000 1
3.0%
2473 1
3.0%
2300 1
3.0%
1000 2
6.1%
820 1
3.0%
600 1
3.0%
500 2
6.1%
350 1
3.0%

Interactions

2023-12-12T20:16:51.445434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:16:51.181840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:16:51.570756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:16:51.301455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:16:55.386862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순 번유 형명 칭소재지수용인원(명)
순 번1.0000.9051.0000.1890.000
유 형0.9051.0001.0000.4270.072
명 칭1.0001.0001.0001.0001.000
소재지0.1890.4271.0001.0000.000
수용인원(명)0.0000.0721.0000.0001.000
2023-12-12T20:16:55.558484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유 형소재지
유 형1.0000.172
소재지0.1721.000
2023-12-12T20:16:55.704875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순 번수용인원(명)유 형소재지
순 번1.000-0.1120.7570.000
수용인원(명)-0.1121.0000.0380.000
유 형0.7570.0381.0000.172
소재지0.0000.0000.1721.000

Missing values

2023-12-12T20:16:51.732746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:16:51.881215image/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

순 번유 형명 칭소재지수용인원(명)
01공연/레저루빅중구340
12공연/레저아트센터 인천연수구40
23공연/레저크로마중구3000
34공연/레저트라이보울연수구350
45공연/레저BMW 드라이빙 센터중구300
56공연/레저달빛축제공원연수구10000
67공연/레저센트럴파크연수구1000
78공연/레저월미문화관중구80
89공연/레저왕산마리나중구200
910공연/레저현대크루즈서구1000
순 번유 형명 칭소재지수용인원(명)
2324스포츠/기타일광전구 라이트하우스중구100
2425스포츠/기타인천글로벌캠퍼스연수구2473
2526스포츠/기타파노라믹65연수구200
2627스포츠/기타플라자광장중구2300
2728스포츠/기타금풍양조장강화군100
2829역사문화유적/전시용궁사중구100
2930스포츠/기타한옥갤러리카페 도솔강화군200
3031스포츠/기타메이드림 카페중구500
3132역사문화유적/전시인천 시민애집중구200
3233스포츠/기타스튜디오테마파크 동양염전중구200