Overview

Dataset statistics

Number of variables5
Number of observations105
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.2 KiB
Average record size in memory41.2 B

Variable types

Categorical2
Text3

Dataset

Description본 데이터는 강원도내 경찰서 소속 지구대 및 파출소의 최신 전화번호와 주소를 제공합니다. (컬럼: 경찰서, 관서명, 구분, 전화번호, 주소)
Author경찰청 강원특별자치도경찰청
URLhttps://www.data.go.kr/data/15104586/fileData.do

Alerts

전화번호 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2024-03-14 12:04:40.311613
Analysis finished2024-03-14 12:04:41.175454
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

경찰서
Categorical

Distinct17
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Memory size968.0 B
춘천
10 
원주
삼척
홍천
정선
Other values (12)
62 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
춘천 10
 
9.5%
원주 9
 
8.6%
삼척 8
 
7.6%
홍천 8
 
7.6%
정선 8
 
7.6%
속초 7
 
6.7%
강릉 7
 
6.7%
횡성 6
 
5.7%
영월 6
 
5.7%
태백 5
 
4.8%
Other values (7) 31
29.5%

Length

2024-03-14T21:04:41.380859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
춘천 10
 
9.5%
원주 9
 
8.6%
삼척 8
 
7.6%
홍천 8
 
7.6%
정선 8
 
7.6%
속초 7
 
6.7%
강릉 7
 
6.7%
영월 6
 
5.7%
횡성 6
 
5.7%
태백 5
 
4.8%
Other values (7) 31
29.5%
Distinct95
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size968.0 B
2024-03-14T21:04:42.435446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length2.0761905
Min length2

Characters and Unicode

Total characters218
Distinct characters98
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)84.8%

Sample

1st row중부
2nd row후평
3rd row서부
4th row남부
5th row소양로
ValueCountFrequency (%)
남면 4
 
3.8%
서면 3
 
2.9%
중부 3
 
2.9%
남부 2
 
1.9%
서부 2
 
1.9%
사북 2
 
1.9%
서석 1
 
1.0%
우천 1
 
1.0%
둔내 1
 
1.0%
횡성 1
 
1.0%
Other values (85) 85
81.0%
2024-03-14T21:04:44.019039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11
 
5.0%
10
 
4.6%
9
 
4.1%
9
 
4.1%
9
 
4.1%
7
 
3.2%
5
 
2.3%
5
 
2.3%
5
 
2.3%
5
 
2.3%
Other values (88) 143
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 218
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
11
 
5.0%
10
 
4.6%
9
 
4.1%
9
 
4.1%
9
 
4.1%
7
 
3.2%
5
 
2.3%
5
 
2.3%
5
 
2.3%
5
 
2.3%
Other values (88) 143
65.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 218
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
11
 
5.0%
10
 
4.6%
9
 
4.1%
9
 
4.1%
9
 
4.1%
7
 
3.2%
5
 
2.3%
5
 
2.3%
5
 
2.3%
5
 
2.3%
Other values (88) 143
65.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 218
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
11
 
5.0%
10
 
4.6%
9
 
4.1%
9
 
4.1%
9
 
4.1%
7
 
3.2%
5
 
2.3%
5
 
2.3%
5
 
2.3%
5
 
2.3%
Other values (88) 143
65.6%

구분
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size968.0 B
파출소
74 
지구대
31 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
파출소 74
70.5%
지구대 31
29.5%

Length

2024-03-14T21:04:44.292819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:04:44.606240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
파출소 74
70.5%
지구대 31
29.5%

전화번호
Text

UNIQUE 

Distinct105
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size968.0 B
2024-03-14T21:04:45.683879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length12.161905
Min length12

Characters and Unicode

Total characters1277
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)100.0%

Sample

1st row033-245-0711
2nd row033-245-0721
3rd row033-245-0731
4th row033-245-0741
5th row033-245-0761
ValueCountFrequency (%)
033-245-0711 1
 
1.0%
033-372-6112 1
 
1.0%
033-340-7411~5 1
 
1.0%
033-339-5284 1
 
1.0%
033-339-5275 1
 
1.0%
033-339-5304 1
 
1.0%
033-339-5376 1
 
1.0%
033-339-5372 1
 
1.0%
033-433-3112 1
 
1.0%
033-435-3112 1
 
1.0%
Other values (95) 95
90.5%
2024-03-14T21:04:47.157607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 315
24.7%
- 210
16.4%
0 155
12.1%
1 139
10.9%
2 122
 
9.6%
5 80
 
6.3%
7 79
 
6.2%
4 74
 
5.8%
6 48
 
3.8%
8 29
 
2.3%
Other values (3) 26
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1060
83.0%
Dash Punctuation 210
 
16.4%
Math Symbol 6
 
0.5%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 315
29.7%
0 155
14.6%
1 139
13.1%
2 122
 
11.5%
5 80
 
7.5%
7 79
 
7.5%
4 74
 
7.0%
6 48
 
4.5%
8 29
 
2.7%
9 19
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 210
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1277
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 315
24.7%
- 210
16.4%
0 155
12.1%
1 139
10.9%
2 122
 
9.6%
5 80
 
6.3%
7 79
 
6.2%
4 74
 
5.8%
6 48
 
3.8%
8 29
 
2.3%
Other values (3) 26
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1277
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 315
24.7%
- 210
16.4%
0 155
12.1%
1 139
10.9%
2 122
 
9.6%
5 80
 
6.3%
7 79
 
6.2%
4 74
 
5.8%
6 48
 
3.8%
8 29
 
2.3%
Other values (3) 26
 
2.0%

주소
Text

UNIQUE 

Distinct105
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size968.0 B
2024-03-14T21:04:48.378510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length18.638095
Min length14

Characters and Unicode

Total characters1957
Distinct characters162
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

Unique105 ?
Unique (%)100.0%

Sample

1st row강원도 춘천시 서부대성로 168(효자동603)
2nd row강원도 춘천시 춘천로 325
3rd row강원도 춘천시 영서로 2414
4th row강원도 춘천시 우석로4번길 21
5th row강원도 춘천시 공지로 571-1
ValueCountFrequency (%)
강원도 105
 
21.2%
춘천시 10
 
2.0%
원주시 9
 
1.8%
삼척시 8
 
1.6%
정선군 8
 
1.6%
홍천군 8
 
1.6%
강릉시 7
 
1.4%
영월군 6
 
1.2%
횡성군 6
 
1.2%
남면 5
 
1.0%
Other values (268) 324
65.3%
2024-03-14T21:04:49.785110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
408
20.8%
128
 
6.5%
118
 
6.0%
110
 
5.6%
85
 
4.3%
1 61
 
3.1%
60
 
3.1%
51
 
2.6%
47
 
2.4%
2 41
 
2.1%
Other values (152) 848
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1222
62.4%
Space Separator 408
 
20.8%
Decimal Number 311
 
15.9%
Dash Punctuation 12
 
0.6%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
128
 
10.5%
118
 
9.7%
110
 
9.0%
85
 
7.0%
60
 
4.9%
51
 
4.2%
47
 
3.8%
35
 
2.9%
27
 
2.2%
24
 
2.0%
Other values (138) 537
43.9%
Decimal Number
ValueCountFrequency (%)
1 61
19.6%
2 41
13.2%
3 39
12.5%
5 34
10.9%
4 33
10.6%
7 25
8.0%
6 23
 
7.4%
9 22
 
7.1%
8 17
 
5.5%
0 16
 
5.1%
Space Separator
ValueCountFrequency (%)
408
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1222
62.4%
Common 735
37.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
128
 
10.5%
118
 
9.7%
110
 
9.0%
85
 
7.0%
60
 
4.9%
51
 
4.2%
47
 
3.8%
35
 
2.9%
27
 
2.2%
24
 
2.0%
Other values (138) 537
43.9%
Common
ValueCountFrequency (%)
408
55.5%
1 61
 
8.3%
2 41
 
5.6%
3 39
 
5.3%
5 34
 
4.6%
4 33
 
4.5%
7 25
 
3.4%
6 23
 
3.1%
9 22
 
3.0%
8 17
 
2.3%
Other values (4) 32
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1222
62.4%
ASCII 735
37.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
408
55.5%
1 61
 
8.3%
2 41
 
5.6%
3 39
 
5.3%
5 34
 
4.6%
4 33
 
4.5%
7 25
 
3.4%
6 23
 
3.1%
9 22
 
3.0%
8 17
 
2.3%
Other values (4) 32
 
4.4%
Hangul
ValueCountFrequency (%)
128
 
10.5%
118
 
9.7%
110
 
9.0%
85
 
7.0%
60
 
4.9%
51
 
4.2%
47
 
3.8%
35
 
2.9%
27
 
2.2%
24
 
2.0%
Other values (138) 537
43.9%

Correlations

2024-03-14T21:04:49.972707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경찰서관서명구분
경찰서1.0000.8810.545
관서명0.8811.0001.000
구분0.5451.0001.000
2024-03-14T21:04:50.165275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분경찰서
구분1.0000.454
경찰서0.4541.000
2024-03-14T21:04:50.300899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경찰서구분
경찰서1.0000.454
구분0.4541.000

Missing values

2024-03-14T21:04:40.740726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T21:04:41.054947image/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

경찰서관서명구분전화번호주소
0춘천중부지구대033-245-0711강원도 춘천시 서부대성로 168(효자동603)
1춘천후평지구대033-245-0721강원도 춘천시 춘천로 325
2춘천서부지구대033-245-0731강원도 춘천시 영서로 2414
3춘천남부지구대033-245-0741강원도 춘천시 우석로4번길 21
4춘천소양로지구대033-245-0761강원도 춘천시 공지로 571-1
5춘천남산파출소033-245-0781강원도 춘천시 남산면 한치로 77
6춘천서면파출소033-245-0791강원도 춘천시 서면 박사로 1279
7춘천사북파출소033-245-0701강원도 춘천시 사북면 영서로 4715
8춘천신북파출소033-245-0771강원도 춘천시 신북읍 율문길 79
9춘천신사우파출소033-245-0751강원도 춘천시 영서로2771번길 2
경찰서관서명구분전화번호주소
95화천간동파출소033-442-5112강원도 화천군 간동면 파로호로 1144
96화천상서파출소033-441-6112강원도 화천군 상서면 다파로 1625
97화천하리파출소033-442-3112강원도 화천군 화천읍 중앙로6길 40
98화천하남파출소033-441-2112강원도 화천군 하남면 원천새싹길 8
99화천사내파출소033-441-4112강원도 화천군 사내면 포화로 1156
100양구상리파출소033-481-3112강원도 양구군 양구읍 택지길 74-45
101양구국토정중앙파출소033-482-4113강원도 양구군 남면 삼팔선로 10-3
102양구동면파출소033-482-7112강원도 양구군 금강산로 1685
103양구방산파출소033-481-5112강원도 양구군 방산면 평화로 5192
104양구해안파출소033-481-0712강원도 양구군 해안면 펀치볼로 1313