Overview

Dataset statistics

Number of variables6
Number of observations54
Missing cells7
Missing cells (%)2.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory50.4 B

Variable types

Categorical2
Text4

Dataset

Description성남시내 관공서 및 주요기관 정보에 대한 데이터로 구분, 기관명, 소재지, 관할구역, 전화번호 등 항목을 제공하고 있습니다.
Author경기도 성남시
URLhttps://www.data.go.kr/data/15032489/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
관할구역 has 7 (13.0%) missing valuesMissing
기관명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:53:30.169351
Analysis finished2023-12-12 15:53:30.711830
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구 분
Categorical

Distinct6
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size564.0 B
수정구
22 
분당구
19 
중원구
9 
등기소
 
2
법원(지원)
 
1

Length

Max length6
Median length3
Mean length3.1111111
Min length3

Unique

Unique2 ?
Unique (%)3.7%

Sample

1st row분당구
2nd row수정구
3rd row분당구
4th row법원(지원)
5th row등기소

Common Values

ValueCountFrequency (%)
수정구 22
40.7%
분당구 19
35.2%
중원구 9
16.7%
등기소 2
 
3.7%
법원(지원) 1
 
1.9%
검찰(지청) 1
 
1.9%

Length

2023-12-13T00:53:30.791550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:53:30.937158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수정구 22
40.7%
분당구 19
35.2%
중원구 9
16.7%
등기소 2
 
3.7%
법원(지원 1
 
1.9%
검찰(지청 1
 
1.9%

기관명
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-13T00:53:31.163722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length6.6851852
Min length5

Characters and Unicode

Total characters361
Distinct characters68
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

Unique54 ?
Unique (%)100.0%

Sample

1st row성남교육지원청
2nd row성남세무서
3rd row분당세무서
4th row수원지방법원성남지원
5th row성남지원등기소
ValueCountFrequency (%)
성남교육지원청 1
 
1.9%
신흥119안전센터 1
 
1.9%
구미119안전센터 1
 
1.9%
서현지구대 1
 
1.9%
금곡지구대 1
 
1.9%
동판교파출소 1
 
1.9%
서판교파출소 1
 
1.9%
수내파출소 1
 
1.9%
구미파출소 1
 
1.9%
성남소방서 1
 
1.9%
Other values (44) 44
81.5%
2023-12-13T00:53:31.539370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 35
 
9.7%
소 20
 
5.5%
대 18
 
5.0%
9 17
 
4.7%
파 16
 
4.4%
출 16
 
4.4%
안 15
 
4.2%
터 15
 
4.2%
센 15
 
4.2%
전 13
 
3.6%
Other values (58) 181
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 307
85.0%
Decimal Number 54
 
15.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 20
 
6.5%
대 18
 
5.9%
파 16
 
5.2%
출 16
 
5.2%
안 15
 
4.9%
터 15
 
4.9%
센 15
 
4.9%
전 13
 
4.2%
지 13
 
4.2%
구 13
 
4.2%
Other values (54) 153
49.8%
Decimal Number
ValueCountFrequency (%)
1 35
64.8%
9 17
31.5%
4 1
 
1.9%
2 1
 
1.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 307
85.0%
Common 54
 
15.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 20
 
6.5%
대 18
 
5.9%
파 16
 
5.2%
출 16
 
5.2%
안 15
 
4.9%
터 15
 
4.9%
센 15
 
4.9%
전 13
 
4.2%
지 13
 
4.2%
구 13
 
4.2%
Other values (54) 153
49.8%
Common
ValueCountFrequency (%)
1 35
64.8%
9 17
31.5%
4 1
 
1.9%
2 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 307
85.0%
ASCII 54
 
15.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 35
64.8%
9 17
31.5%
4 1
 
1.9%
2 1
 
1.9%
Hangul
ValueCountFrequency (%)
소 20
 
6.5%
대 18
 
5.9%
파 16
 
5.2%
출 16
 
5.2%
안 15
 
4.9%
터 15
 
4.9%
센 15
 
4.9%
전 13
 
4.2%
지 13
 
4.2%
구 13
 
4.2%
Other values (54) 153
49.8%

소 재 지
Text

Distinct48
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-13T00:53:31.806352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length20.203704
Min length17

Characters and Unicode

Total characters1091
Distinct characters77
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

Unique45 ?
Unique (%)83.3%

Sample

1st row경기도 성남시 분당구 양현로 20
2nd row경기도 성남시 수정구 희망로 480
3rd row경기도 성남시 분당구 분당로 23
4th row경기도 성남시 수정구 산성대로 451
5th row경기도 성남시 수정구 산성대로 451
ValueCountFrequency (%)
경기도 54
19.6%
성남시 54
19.6%
수정구 22
 
8.0%
분당구 20
 
7.2%
중원구 11
 
4.0%
양현로 5
 
1.8%
14 4
 
1.4%
산성대로 4
 
1.4%
111 3
 
1.1%
제일로 3
 
1.1%
Other values (84) 96
34.8%
2023-12-13T00:53:32.195136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
222
20.3%
성 63
 
5.8%
남 60
 
5.5%
시 56
 
5.1%
도 55
 
5.0%
경 54
 
4.9%
로 54
 
4.9%
구 54
 
4.9%
기 54
 
4.9%
1 48
 
4.4%
Other values (67) 371
34.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 695
63.7%
Space Separator 222
 
20.3%
Decimal Number 170
 
15.6%
Dash Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 63
 
9.1%
남 60
 
8.6%
시 56
 
8.1%
도 55
 
7.9%
경 54
 
7.8%
로 54
 
7.8%
구 54
 
7.8%
기 54
 
7.8%
정 28
 
4.0%
수 24
 
3.5%
Other values (55) 193
27.8%
Decimal Number
ValueCountFrequency (%)
1 48
28.2%
4 22
12.9%
2 21
12.4%
3 16
 
9.4%
5 14
 
8.2%
6 14
 
8.2%
0 11
 
6.5%
7 10
 
5.9%
8 7
 
4.1%
9 7
 
4.1%
Space Separator
ValueCountFrequency (%)
222
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 695
63.7%
Common 396
36.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 63
 
9.1%
남 60
 
8.6%
시 56
 
8.1%
도 55
 
7.9%
경 54
 
7.8%
로 54
 
7.8%
구 54
 
7.8%
기 54
 
7.8%
정 28
 
4.0%
수 24
 
3.5%
Other values (55) 193
27.8%
Common
ValueCountFrequency (%)
222
56.1%
1 48
 
12.1%
4 22
 
5.6%
2 21
 
5.3%
3 16
 
4.0%
5 14
 
3.5%
6 14
 
3.5%
0 11
 
2.8%
7 10
 
2.5%
8 7
 
1.8%
Other values (2) 11
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 695
63.7%
ASCII 396
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
222
56.1%
1 48
 
12.1%
4 22
 
5.6%
2 21
 
5.3%
3 16
 
4.0%
5 14
 
3.5%
6 14
 
3.5%
0 11
 
2.8%
7 10
 
2.5%
8 7
 
1.8%
Other values (2) 11
 
2.8%
Hangul
ValueCountFrequency (%)
성 63
 
9.1%
남 60
 
8.6%
시 56
 
8.1%
도 55
 
7.9%
경 54
 
7.8%
로 54
 
7.8%
구 54
 
7.8%
기 54
 
7.8%
정 28
 
4.0%
수 24
 
3.5%
Other values (55) 193
27.8%

관할구역
Text

MISSING 

Distinct43
Distinct (%)91.5%
Missing7
Missing (%)13.0%
Memory size564.0 B
2023-12-13T00:53:32.441368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length24
Mean length12.191489
Min length3

Characters and Unicode

Total characters573
Distinct characters76
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)87.2%

Sample

1st row수정구
2nd row태평1동, 수진2동
3rd row신흥1동, 신흥2동, 신흥3동
4th row신촌동, 오야동 등 9개동
5th row복정동
ValueCountFrequency (%)
전체 6
 
5.2%
수정구 4
 
3.4%
분당구 4
 
3.4%
중원구 4
 
3.4%
운중동 3
 
2.6%
3
 
2.6%
하대원동 3
 
2.6%
여수동 2
 
1.7%
판교동 2
 
1.7%
구미동 2
 
1.7%
Other values (69) 83
71.6%
2023-12-13T00:53:32.867985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 102
17.8%
, 70
 
12.2%
69
 
12.0%
1 23
 
4.0%
2 21
 
3.7%
수 15
 
2.6%
구 15
 
2.6%
원 14
 
2.4%
3 12
 
2.1%
대 12
 
2.1%
Other values (66) 220
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 373
65.1%
Other Punctuation 70
 
12.2%
Space Separator 69
 
12.0%
Decimal Number 59
 
10.3%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 102
27.3%
수 15
 
4.0%
구 15
 
4.0%
원 14
 
3.8%
대 12
 
3.2%
정 10
 
2.7%
중 9
 
2.4%
평 9
 
2.4%
ㆍ 7
 
1.9%
현 7
 
1.9%
Other values (57) 173
46.4%
Decimal Number
ValueCountFrequency (%)
1 23
39.0%
2 21
35.6%
3 12
20.3%
4 2
 
3.4%
9 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
, 70
100.0%
Space Separator
ValueCountFrequency (%)
69
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 373
65.1%
Common 200
34.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 102
27.3%
수 15
 
4.0%
구 15
 
4.0%
원 14
 
3.8%
대 12
 
3.2%
정 10
 
2.7%
중 9
 
2.4%
평 9
 
2.4%
ㆍ 7
 
1.9%
현 7
 
1.9%
Other values (57) 173
46.4%
Common
ValueCountFrequency (%)
, 70
35.0%
69
34.5%
1 23
 
11.5%
2 21
 
10.5%
3 12
 
6.0%
4 2
 
1.0%
( 1
 
0.5%
) 1
 
0.5%
9 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 366
63.9%
ASCII 200
34.9%
Compat Jamo 7
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 102
27.9%
수 15
 
4.1%
구 15
 
4.1%
원 14
 
3.8%
대 12
 
3.3%
정 10
 
2.7%
중 9
 
2.5%
평 9
 
2.5%
현 7
 
1.9%
전 7
 
1.9%
Other values (56) 166
45.4%
ASCII
ValueCountFrequency (%)
, 70
35.0%
69
34.5%
1 23
 
11.5%
2 21
 
10.5%
3 12
 
6.0%
4 2
 
1.0%
( 1
 
0.5%
) 1
 
0.5%
9 1
 
0.5%
Compat Jamo
ValueCountFrequency (%)
ㆍ 7
100.0%

전화번호
Text

Distinct50
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-13T00:53:33.158004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length12.240741
Min length7

Characters and Unicode

Total characters661
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

Unique47 ?
Unique (%)87.0%

Sample

1st row031-780-2500
2nd row031-730-6200
3rd row031-219-9200
4th row031-737-1114
5th row1544-0773
ValueCountFrequency (%)
031-182 3
 
5.6%
1544-0773 2
 
3.7%
031-750-4010 2
 
3.7%
031-8018-3521~4 1
 
1.9%
031-720-0505 1
 
1.9%
031-8018-3551~7 1
 
1.9%
031-720-0532 1
 
1.9%
031-780-2500 1
 
1.9%
031-720-0542 1
 
1.9%
031-736-6162 1
 
1.9%
Other values (40) 40
74.1%
2023-12-13T00:53:33.738960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 130
19.7%
- 103
15.6%
3 99
15.0%
1 98
14.8%
5 47
 
7.1%
7 43
 
6.5%
4 40
 
6.1%
2 32
 
4.8%
8 29
 
4.4%
6 27
 
4.1%
Other values (3) 13
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 548
82.9%
Dash Punctuation 103
 
15.6%
Math Symbol 9
 
1.4%
Control 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 130
23.7%
3 99
18.1%
1 98
17.9%
5 47
 
8.6%
7 43
 
7.8%
4 40
 
7.3%
2 32
 
5.8%
8 29
 
5.3%
6 27
 
4.9%
9 3
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 103
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 661
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 130
19.7%
- 103
15.6%
3 99
15.0%
1 98
14.8%
5 47
 
7.1%
7 43
 
6.5%
4 40
 
6.1%
2 32
 
4.8%
8 29
 
4.4%
6 27
 
4.1%
Other values (3) 13
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 661
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 130
19.7%
- 103
15.6%
3 99
15.0%
1 98
14.8%
5 47
 
7.1%
7 43
 
6.5%
4 40
 
6.1%
2 32
 
4.8%
8 29
 
4.4%
6 27
 
4.1%
Other values (3) 13
 
2.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-11-29
54 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-29
2nd row2023-11-29
3rd row2023-11-29
4th row2023-11-29
5th row2023-11-29

Common Values

ValueCountFrequency (%)
2023-11-29 54
100.0%

Length

2023-12-13T00:53:34.011558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:53:34.181427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-29 54
100.0%

Correlations

2023-12-13T00:53:34.264235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구 분기관명소 재 지관할구역전화번호
구 분1.0001.0000.0001.0000.970
기관명1.0001.0001.0001.0001.000
소 재 지0.0001.0001.0001.0000.932
관할구역1.0001.0001.0001.0000.923
전화번호0.9701.0000.9320.9231.000

Missing values

2023-12-13T00:53:30.550604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:53:30.666851image/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

구 분기관명소 재 지관할구역전화번호데이터기준일자
0분당구성남교육지원청경기도 성남시 분당구 양현로 20<NA>031-780-25002023-11-29
1수정구성남세무서경기도 성남시 수정구 희망로 480<NA>031-730-62002023-11-29
2분당구분당세무서경기도 성남시 분당구 분당로 23<NA>031-219-92002023-11-29
3법원(지원)수원지방법원성남지원경기도 성남시 수정구 산성대로 451<NA>031-737-11142023-11-29
4등기소성남지원등기소경기도 성남시 수정구 산성대로 451<NA>1544-07732023-11-29
5등기소분당등기소경기도 성남시 분당구 불정로 406번길 21<NA>1544-07732023-11-29
6검찰(지청)수원지방검찰청성남지청경기도 성남시 수정구 산성대로 451<NA>031-739-43012023-11-29
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