Overview

Dataset statistics

Number of variables3
Number of observations176
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory25.8 B

Variable types

Numeric1
Text2

Dataset

Description인천광역시 부평구 경로당 현황입니다.
Author인천광역시 부평구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15087241&srcSe=7661IVAWM27C61E190

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2024-01-28 13:39:11.363471
Analysis finished2024-01-28 13:39:12.031455
Duration0.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct176
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.5
Minimum1
Maximum176
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-01-28T22:39:12.099707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.75
Q144.75
median88.5
Q3132.25
95-th percentile167.25
Maximum176
Range175
Interquartile range (IQR)87.5

Descriptive statistics

Standard deviation50.950957
Coefficient of variation (CV)0.57571703
Kurtosis-1.2
Mean88.5
Median Absolute Deviation (MAD)44
Skewness0
Sum15576
Variance2596
MonotonicityStrictly increasing
2024-01-28T22:39:12.242949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
90 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
116 1
 
0.6%
117 1
 
0.6%
118 1
 
0.6%
119 1
 
0.6%
120 1
 
0.6%
121 1
 
0.6%
Other values (166) 166
94.3%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
176 1
0.6%
175 1
0.6%
174 1
0.6%
173 1
0.6%
172 1
0.6%
171 1
0.6%
170 1
0.6%
169 1
0.6%
168 1
0.6%
167 1
0.6%

시설명
Text

Distinct148
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-01-28T22:39:12.467556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length7.7443182
Min length5

Characters and Unicode

Total characters1363
Distinct characters147
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

Unique132 ?
Unique (%)75.0%

Sample

1st row대성유니드아파트경로당
2nd row장미경로당
3rd row부원경로당
4th row동아1단지경로당
5th row욱일아파트경로당
ValueCountFrequency (%)
분회경로당 11
 
6.1%
한국아파트경로당 5
 
2.8%
남부경로당 2
 
1.1%
백영아파트경로당 2
 
1.1%
현대아파트경로당 2
 
1.1%
주공5단지 2
 
1.1%
무지개아파트경로당 2
 
1.1%
대진아파트경로당 2
 
1.1%
주공2단지경로당 2
 
1.1%
태화아파트경로당 2
 
1.1%
Other values (141) 149
82.3%
2024-01-28T22:39:12.772072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
경 182
 
13.4%
로 178
 
13.1%
당 178
 
13.1%
아 74
 
5.4%
파 68
 
5.0%
트 68
 
5.0%
지 32
 
2.3%
대 26
 
1.9%
단 26
 
1.9%
차 21
 
1.5%
Other values (137) 510
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1291
94.7%
Decimal Number 55
 
4.0%
Space Separator 5
 
0.4%
Close Punctuation 4
 
0.3%
Open Punctuation 4
 
0.3%
Uppercase Letter 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 182
14.1%
로 178
13.8%
당 178
13.8%
아 74
 
5.7%
파 68
 
5.3%
트 68
 
5.3%
지 32
 
2.5%
대 26
 
2.0%
단 26
 
2.0%
차 21
 
1.6%
Other values (124) 438
33.9%
Decimal Number
ValueCountFrequency (%)
1 16
29.1%
2 16
29.1%
3 6
 
10.9%
4 5
 
9.1%
5 4
 
7.3%
7 4
 
7.3%
6 3
 
5.5%
8 1
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
H 2
50.0%
L 2
50.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1291
94.7%
Common 68
 
5.0%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 182
14.1%
로 178
13.8%
당 178
13.8%
아 74
 
5.7%
파 68
 
5.3%
트 68
 
5.3%
지 32
 
2.5%
대 26
 
2.0%
단 26
 
2.0%
차 21
 
1.6%
Other values (124) 438
33.9%
Common
ValueCountFrequency (%)
1 16
23.5%
2 16
23.5%
3 6
 
8.8%
5
 
7.4%
4 5
 
7.4%
5 4
 
5.9%
) 4
 
5.9%
7 4
 
5.9%
( 4
 
5.9%
6 3
 
4.4%
Latin
ValueCountFrequency (%)
H 2
50.0%
L 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1291
94.7%
ASCII 72
 
5.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
경 182
14.1%
로 178
13.8%
당 178
13.8%
아 74
 
5.7%
파 68
 
5.3%
트 68
 
5.3%
지 32
 
2.5%
대 26
 
2.0%
단 26
 
2.0%
차 21
 
1.6%
Other values (124) 438
33.9%
ASCII
ValueCountFrequency (%)
1 16
22.2%
2 16
22.2%
3 6
 
8.3%
5
 
6.9%
4 5
 
6.9%
5 4
 
5.6%
) 4
 
5.6%
7 4
 
5.6%
( 4
 
5.6%
6 3
 
4.2%
Other values (3) 5
 
6.9%

소재지
Text

Distinct173
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-01-28T22:39:13.079885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length9.4375
Min length5

Characters and Unicode

Total characters1661
Distinct characters83
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

Unique170 ?
Unique (%)96.6%

Sample

1st row새갈로 57
2nd row굴포로5번길 42
3rd row원적로488번길 20
4th row부평문화로 37
5th row부흥로243번길 39
ValueCountFrequency (%)
11 6
 
1.7%
부평북로 6
 
1.7%
20 6
 
1.7%
안남로 5
 
1.4%
원적로 5
 
1.4%
27 5
 
1.4%
후정동로 5
 
1.4%
주부토로 4
 
1.1%
마장로 4
 
1.1%
16 4
 
1.1%
Other values (229) 303
85.8%
2024-01-28T22:39:13.494514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
185
 
11.1%
로 176
 
10.6%
1 126
 
7.6%
길 105
 
6.3%
2 101
 
6.1%
번 93
 
5.6%
3 74
 
4.5%
4 70
 
4.2%
6 60
 
3.6%
0 54
 
3.3%
Other values (73) 617
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 794
47.8%
Decimal Number 658
39.6%
Space Separator 185
 
11.1%
Dash Punctuation 24
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 176
22.2%
길 105
 
13.2%
번 93
 
11.7%
부 38
 
4.8%
동 25
 
3.1%
평 18
 
2.3%
장 18
 
2.3%
원 18
 
2.3%
수 17
 
2.1%
마 17
 
2.1%
Other values (61) 269
33.9%
Decimal Number
ValueCountFrequency (%)
1 126
19.1%
2 101
15.3%
3 74
11.2%
4 70
10.6%
6 60
9.1%
0 54
8.2%
5 48
 
7.3%
8 44
 
6.7%
7 44
 
6.7%
9 37
 
5.6%
Space Separator
ValueCountFrequency (%)
185
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 867
52.2%
Hangul 794
47.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 176
22.2%
길 105
 
13.2%
번 93
 
11.7%
부 38
 
4.8%
동 25
 
3.1%
평 18
 
2.3%
장 18
 
2.3%
원 18
 
2.3%
수 17
 
2.1%
마 17
 
2.1%
Other values (61) 269
33.9%
Common
ValueCountFrequency (%)
185
21.3%
1 126
14.5%
2 101
11.6%
3 74
 
8.5%
4 70
 
8.1%
6 60
 
6.9%
0 54
 
6.2%
5 48
 
5.5%
8 44
 
5.1%
7 44
 
5.1%
Other values (2) 61
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 867
52.2%
Hangul 794
47.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
185
21.3%
1 126
14.5%
2 101
11.6%
3 74
 
8.5%
4 70
 
8.1%
6 60
 
6.9%
0 54
 
6.2%
5 48
 
5.5%
8 44
 
5.1%
7 44
 
5.1%
Other values (2) 61
 
7.0%
Hangul
ValueCountFrequency (%)
로 176
22.2%
길 105
 
13.2%
번 93
 
11.7%
부 38
 
4.8%
동 25
 
3.1%
평 18
 
2.3%
장 18
 
2.3%
원 18
 
2.3%
수 17
 
2.1%
마 17
 
2.1%
Other values (61) 269
33.9%

Interactions

2024-01-28T22:39:11.513767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-01-28T22:39:11.632691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T22:39:12.006358image/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

연번시설명소재지
01대성유니드아파트경로당새갈로 57
12장미경로당굴포로5번길 42
23부원경로당원적로488번길 20
34동아1단지경로당부평문화로 37
45욱일아파트경로당부흥로243번길 39
56대림아파트경로당부영로 196
67동아2단지경로당부흥로 246
78한국아파트경로당부영로166번길 12
89대우아파트경로당부흥로243번길 7
910두산위브아파트경로당경원대로1344번길 8
연번시설명소재지
166167동암경로당열우물로49번길 37-7
167168신동아(정문)경로당아트센터로 118
168169신동아(후문)경로당아트센터로 118
169170동암마을경로당아트센터로 44번길 15-12
170171하정경로당이규보로22번길 27
171172동암남부경로당동암남로20번길 16
172173경남3차경로당마장로272번길 76
173174현대1주구경로당경원대로 1269
174175분회경로당(임시)마장로 467
175176금성경로당열우물로 109-1