Overview

Dataset statistics

Number of variables6
Number of observations62
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory51.1 B

Variable types

Categorical2
Text3
Numeric1

Dataset

Description대구광역시경찰청(중부서, 동부서, 서부서, 남부서, 북부서, 수성서, 달서서, 달성서, 성서서, 강북서) 지구대 및 파출소 현황
URLhttps://www.data.go.kr/data/15081529/fileData.do

Alerts

우편번호 is highly overall correlated with 경찰서High correlation
경찰서 is highly overall correlated with 우편번호High correlation
지구대(파출소)명 has unique valuesUnique
전화번호 has unique valuesUnique
우편번호 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:28:24.006874
Analysis finished2023-12-12 07:28:24.581090
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

경찰서
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size628.0 B
대구달성
11 
대구동부
9 
대구성서
8 
대구수성
7 
대구서부
5 
Other values (5)
22 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구중부
2nd row대구중부
3rd row대구중부
4th row대구중부
5th row대구동부

Common Values

ValueCountFrequency (%)
대구달성 11
17.7%
대구동부 9
14.5%
대구성서 8
12.9%
대구수성 7
11.3%
대구서부 5
8.1%
대구남부 5
8.1%
대구달서 5
8.1%
대구중부 4
 
6.5%
대구북부 4
 
6.5%
대구강북 4
 
6.5%

Length

2023-12-12T16:28:24.675112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:28:24.834821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구달성 11
17.7%
대구동부 9
14.5%
대구성서 8
12.9%
대구수성 7
11.3%
대구서부 5
8.1%
대구남부 5
8.1%
대구달서 5
8.1%
대구중부 4
 
6.5%
대구북부 4
 
6.5%
대구강북 4
 
6.5%

지구대(파출소)명
Text

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-12-12T16:28:25.161275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length2
Mean length2.2258065
Min length2

Characters and Unicode

Total characters138
Distinct characters78
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

Unique62 ?
Unique (%)100.0%

Sample

1st row서문
2nd row동덕
3rd row남산
4th row중앙
5th row큰고개
ValueCountFrequency (%)
서문 1
 
1.6%
두류 1
 
1.6%
무태 1
 
1.6%
파동 1
 
1.6%
월배 1
 
1.6%
상인 1
 
1.6%
송현 1
 
1.6%
월성 1
 
1.6%
대곡 1
 
1.6%
신당 1
 
1.6%
Other values (52) 52
83.9%
2023-12-12T16:28:25.575885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 10
 
7.2%
산 7
 
5.1%
대 6
 
4.3%
서 4
 
2.9%
현 4
 
2.9%
명 4
 
2.9%
공 4
 
2.9%
남 4
 
2.9%
성 4
 
2.9%
원 3
 
2.2%
Other values (68) 88
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 136
98.6%
Decimal Number 2
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 10
 
7.4%
산 7
 
5.1%
대 6
 
4.4%
서 4
 
2.9%
현 4
 
2.9%
명 4
 
2.9%
공 4
 
2.9%
남 4
 
2.9%
성 4
 
2.9%
원 3
 
2.2%
Other values (66) 86
63.2%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
4 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 136
98.6%
Common 2
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 10
 
7.4%
산 7
 
5.1%
대 6
 
4.4%
서 4
 
2.9%
현 4
 
2.9%
명 4
 
2.9%
공 4
 
2.9%
남 4
 
2.9%
성 4
 
2.9%
원 3
 
2.2%
Other values (66) 86
63.2%
Common
ValueCountFrequency (%)
3 1
50.0%
4 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 136
98.6%
ASCII 2
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 10
 
7.4%
산 7
 
5.1%
대 6
 
4.4%
서 4
 
2.9%
현 4
 
2.9%
명 4
 
2.9%
공 4
 
2.9%
남 4
 
2.9%
성 4
 
2.9%
원 3
 
2.2%
Other values (66) 86
63.2%
ASCII
ValueCountFrequency (%)
3 1
50.0%
4 1
50.0%

구분
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
지구대
31 
파출소
31 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row지구대
2nd row지구대
3rd row지구대
4th row파출소
5th row지구대

Common Values

ValueCountFrequency (%)
지구대 31
50.0%
파출소 31
50.0%

Length

2023-12-12T16:28:25.718239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:28:25.856761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지구대 31
50.0%
파출소 31
50.0%

전화번호
Text

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-12-12T16:28:26.148879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.016129
Min length12

Characters and Unicode

Total characters745
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)100.0%

Sample

1st row053-420-1302
2nd row053-420-1306
3rd row053-420-1304
4th row053-420-1311
5th row053-960-3309
ValueCountFrequency (%)
053-420-1302 1
 
1.6%
053-609-0311 1
 
1.6%
053-380-3193 1
 
1.6%
053-600-6317 1
 
1.6%
053-632-0112 1
 
1.6%
053-638-0112 1
 
1.6%
053-631-0112 1
 
1.6%
053-635-0112 1
 
1.6%
053-662-6333 1
 
1.6%
053-609-0301 1
 
1.6%
Other values (52) 52
83.9%
2023-12-12T16:28:26.590437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 171
23.0%
3 155
20.8%
- 125
16.8%
5 78
10.5%
6 75
10.1%
1 47
 
6.3%
8 30
 
4.0%
2 24
 
3.2%
9 24
 
3.2%
4 10
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 620
83.2%
Dash Punctuation 125
 
16.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 171
27.6%
3 155
25.0%
5 78
12.6%
6 75
12.1%
1 47
 
7.6%
8 30
 
4.8%
2 24
 
3.9%
9 24
 
3.9%
4 10
 
1.6%
7 6
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 125
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 745
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 171
23.0%
3 155
20.8%
- 125
16.8%
5 78
10.5%
6 75
10.1%
1 47
 
6.3%
8 30
 
4.0%
2 24
 
3.2%
9 24
 
3.2%
4 10
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 745
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 171
23.0%
3 155
20.8%
- 125
16.8%
5 78
10.5%
6 75
10.1%
1 47
 
6.3%
8 30
 
4.0%
2 24
 
3.2%
9 24
 
3.2%
4 10
 
1.3%

우편번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42160.887
Minimum41001
Maximum43015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-12T16:28:26.754439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41001
5-th percentile41064.25
Q141568.5
median42217
Q342718.25
95-th percentile42984.5
Maximum43015
Range2014
Interquartile range (IQR)1149.75

Descriptive statistics

Standard deviation650.36321
Coefficient of variation (CV)0.015425748
Kurtosis-1.233966
Mean42160.887
Median Absolute Deviation (MAD)552.5
Skewness-0.31687589
Sum2613975
Variance422972.3
MonotonicityNot monotonic
2023-12-12T16:28:26.942885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41921 1
 
1.6%
42936 1
 
1.6%
42801 1
 
1.6%
42812 1
 
1.6%
42738 1
 
1.6%
42732 1
 
1.6%
42842 1
 
1.6%
42609 1
 
1.6%
42631 1
 
1.6%
42677 1
 
1.6%
Other values (52) 52
83.9%
ValueCountFrequency (%)
41001 1
1.6%
41009 1
1.6%
41019 1
1.6%
41061 1
1.6%
41126 1
1.6%
41155 1
1.6%
41174 1
1.6%
41200 1
1.6%
41256 1
1.6%
41419 1
1.6%
ValueCountFrequency (%)
43015 1
1.6%
43010 1
1.6%
42996 1
1.6%
42985 1
1.6%
42975 1
1.6%
42972 1
1.6%
42964 1
1.6%
42956 1
1.6%
42936 1
1.6%
42930 1
1.6%

주소
Text

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-12-12T16:28:27.299303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length23
Mean length19.064516
Min length13

Characters and Unicode

Total characters1182
Distinct characters107
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

Unique62 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 국채보상로 99길 12
2nd row대구광역시 중구 국채보상로 140길 16
3rd row대구광역시 중구 달구벌대로 2048
4th row대구광역시 중구 중앙대로 81길 88
5th row대구광역시 동구 효목로19길 143
ValueCountFrequency (%)
대구광역시 61
23.1%
달서구 13
 
4.9%
달성군 11
 
4.2%
동구 9
 
3.4%
북구 8
 
3.0%
수성구 7
 
2.7%
남구 5
 
1.9%
서구 5
 
1.9%
달구벌대로 5
 
1.9%
국채보상로 4
 
1.5%
Other values (121) 136
51.5%
2023-12-12T16:28:27.854012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
251
21.2%
구 123
 
10.4%
대 73
 
6.2%
로 62
 
5.2%
광 61
 
5.2%
역 61
 
5.2%
시 61
 
5.2%
1 47
 
4.0%
달 30
 
2.5%
2 24
 
2.0%
Other values (97) 389
32.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 734
62.1%
Space Separator 251
 
21.2%
Decimal Number 195
 
16.5%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 123
16.8%
대 73
 
9.9%
로 62
 
8.4%
광 61
 
8.3%
역 61
 
8.3%
시 61
 
8.3%
달 30
 
4.1%
서 21
 
2.9%
성 20
 
2.7%
동 15
 
2.0%
Other values (85) 207
28.2%
Decimal Number
ValueCountFrequency (%)
1 47
24.1%
2 24
12.3%
0 21
10.8%
5 17
 
8.7%
7 16
 
8.2%
8 16
 
8.2%
3 15
 
7.7%
4 14
 
7.2%
6 14
 
7.2%
9 11
 
5.6%
Space Separator
ValueCountFrequency (%)
251
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 734
62.1%
Common 448
37.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 123
16.8%
대 73
 
9.9%
로 62
 
8.4%
광 61
 
8.3%
역 61
 
8.3%
시 61
 
8.3%
달 30
 
4.1%
서 21
 
2.9%
성 20
 
2.7%
동 15
 
2.0%
Other values (85) 207
28.2%
Common
ValueCountFrequency (%)
251
56.0%
1 47
 
10.5%
2 24
 
5.4%
0 21
 
4.7%
5 17
 
3.8%
7 16
 
3.6%
8 16
 
3.6%
3 15
 
3.3%
4 14
 
3.1%
6 14
 
3.1%
Other values (2) 13
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 734
62.1%
ASCII 448
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
251
56.0%
1 47
 
10.5%
2 24
 
5.4%
0 21
 
4.7%
5 17
 
3.8%
7 16
 
3.6%
8 16
 
3.6%
3 15
 
3.3%
4 14
 
3.1%
6 14
 
3.1%
Other values (2) 13
 
2.9%
Hangul
ValueCountFrequency (%)
구 123
16.8%
대 73
 
9.9%
로 62
 
8.4%
광 61
 
8.3%
역 61
 
8.3%
시 61
 
8.3%
달 30
 
4.1%
서 21
 
2.9%
성 20
 
2.7%
동 15
 
2.0%
Other values (85) 207
28.2%

Interactions

2023-12-12T16:28:24.322101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:28:27.975178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경찰서지구대(파출소)명구분전화번호우편번호주소
경찰서1.0001.0000.6551.0000.9851.000
지구대(파출소)명1.0001.0001.0001.0001.0001.000
구분0.6551.0001.0001.0000.6541.000
전화번호1.0001.0001.0001.0001.0001.000
우편번호0.9851.0000.6541.0001.0001.000
주소1.0001.0001.0001.0001.0001.000
2023-12-12T16:28:28.084764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분경찰서
구분1.0000.472
경찰서0.4721.000
2023-12-12T16:28:28.173295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호경찰서구분
우편번호1.0000.7830.464
경찰서0.7831.0000.472
구분0.4640.4721.000

Missing values

2023-12-12T16:28:24.433813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:28:24.530077image/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

경찰서지구대(파출소)명구분전화번호우편번호주소
0대구중부서문지구대053-420-130241921대구광역시 중구 국채보상로 99길 12
1대구중부동덕지구대053-420-130641944대구광역시 중구 국채보상로 140길 16
2대구중부남산지구대053-420-130441965대구광역시 중구 달구벌대로 2048
3대구중부중앙파출소053-420-131141934대구광역시 중구 중앙대로 81길 88
4대구동부큰고개지구대053-960-330941174대구광역시 동구 효목로19길 143
5대구동부동촌지구대053-960-330541155대구광역시 동구 해동로 184
6대구동부안심지구대053-960-331441126대구광역시 동구 반야월로 219
7대구동부남신암지구대053-960--330441200대구광역시 동구 대현로 126
8대구동부동대구지구대053-960-331641256대구광역시 동구 동대구로85길 53
9대구동부팔공파출소053-960-330141009대구광역시 동구 팔공로 197길 47
경찰서지구대(파출소)명구분전화번호우편번호주소
52대구달성화원파출소053-660-831242964대구광역시 달성군 화원읍 명천로 100
53대구달성옥포파출소053-660-813642972대구광역시 달성군 옥포읍 비슬로 2294
54대구달성다사지구대053-660-830542930대구광역시 달성군 다사읍 세천로 100
55대구달성현풍파출소053-660-813942996대구광역시 달성군 현풍읍 현풍중앙로 70
56대구달성유가파출소053-660-830743015대구광역시 달성군 유가읍 테크노상업로 99
57대구달성하빈파출소053-660-830842903대구광역시 달성군 하빈면 달구벌대로 55길 58-4
58대구강북동천지구대053-380-319241431대구광역시 북구 구암로 157
59대구강북강북지구대053-380-319141419대구광역시 북구 동암로 171
60대구강북무태파출소053-380-319341475대구광역시 북구 서변로 62
61대구강북관문파출소053-380-319841492대구광역시 북구 한강로 103