Overview

Dataset statistics

Number of variables10
Number of observations333
Missing cells12
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.1 KiB
Average record size in memory83.4 B

Variable types

Categorical4
Text3
Numeric3

Dataset

Description경기도 지구대(파출소) 현황
Author경찰청
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=DQ2I0RA86JC3Z2M9Q8RZ17985111&infSeq=1

Alerts

지방청명 is highly overall correlated with 소재지우편번호 and 3 other fieldsHigh correlation
시군명 is highly overall correlated with 소재지우편번호 and 4 other fieldsHigh correlation
경찰서명 is highly overall correlated with 소재지우편번호 and 4 other fieldsHigh correlation
소재지우편번호 is highly overall correlated with WGS84위도 and 3 other fieldsHigh correlation
WGS84위도 is highly overall correlated with 소재지우편번호 and 3 other fieldsHigh correlation
WGS84경도 is highly overall correlated with 시군명 and 1 other fieldsHigh correlation
소재지도로명주소 has 5 (1.5%) missing valuesMissing

Reproduction

Analysis started2023-12-10 21:04:09.375549
Analysis finished2023-12-10 21:04:11.393869
Duration2.02 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
수원시
 
23
성남시
 
22
안산시
 
21
용인시
 
19
화성시
 
16
Other values (26)
232 

Length

Max length4
Median length3
Mean length3.0750751
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수원시 23
 
6.9%
성남시 22
 
6.6%
안산시 21
 
6.3%
용인시 19
 
5.7%
화성시 16
 
4.8%
고양시 16
 
4.8%
평택시 15
 
4.5%
남양주시 15
 
4.5%
포천시 14
 
4.2%
부천시 14
 
4.2%
Other values (21) 158
47.4%

Length

2023-12-11T06:04:11.471519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 23
 
6.9%
성남시 22
 
6.6%
안산시 21
 
6.3%
용인시 19
 
5.7%
화성시 16
 
4.8%
고양시 16
 
4.8%
평택시 15
 
4.5%
남양주시 15
 
4.5%
포천시 14
 
4.2%
부천시 14
 
4.2%
Other values (21) 158
47.4%

관서명
Text

Distinct314
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-11T06:04:11.879297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length2
Mean length2.0840841
Min length2

Characters and Unicode

Total characters694
Distinct characters180
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique299 ?
Unique (%)89.8%

Sample

1st row조종
2nd row상면
3rd row청평
4th row읍내
5th row북면
ValueCountFrequency (%)
중앙 6
 
1.8%
대야 2
 
0.6%
송내 2
 
0.6%
이동 2
 
0.6%
동부 2
 
0.6%
금곡 2
 
0.6%
은행 2
 
0.6%
고등 2
 
0.6%
일동 2
 
0.6%
원곡 2
 
0.6%
Other values (304) 309
92.8%
2023-12-11T06:04:12.506158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 20
 
2.9%
산 19
 
2.7%
곡 15
 
2.2%
부 14
 
2.0%
원 14
 
2.0%
내 13
 
1.9%
서 13
 
1.9%
신 13
 
1.9%
성 12
 
1.7%
대 12
 
1.7%
Other values (170) 549
79.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 683
98.4%
Decimal Number 10
 
1.4%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 20
 
2.9%
산 19
 
2.8%
곡 15
 
2.2%
부 14
 
2.0%
원 14
 
2.0%
내 13
 
1.9%
서 13
 
1.9%
신 13
 
1.9%
성 12
 
1.8%
대 12
 
1.8%
Other values (165) 538
78.8%
Decimal Number
ValueCountFrequency (%)
2 4
40.0%
1 3
30.0%
3 2
20.0%
4 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 683
98.4%
Common 10
 
1.4%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 20
 
2.9%
산 19
 
2.8%
곡 15
 
2.2%
부 14
 
2.0%
원 14
 
2.0%
내 13
 
1.9%
서 13
 
1.9%
신 13
 
1.9%
성 12
 
1.8%
대 12
 
1.8%
Other values (165) 538
78.8%
Common
ValueCountFrequency (%)
2 4
40.0%
1 3
30.0%
3 2
20.0%
4 1
 
10.0%
Latin
ValueCountFrequency (%)
T 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 683
98.4%
ASCII 11
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 20
 
2.9%
산 19
 
2.8%
곡 15
 
2.2%
부 14
 
2.0%
원 14
 
2.0%
내 13
 
1.9%
서 13
 
1.9%
신 13
 
1.9%
성 12
 
1.8%
대 12
 
1.8%
Other values (165) 538
78.8%
ASCII
ValueCountFrequency (%)
2 4
36.4%
1 3
27.3%
3 2
18.2%
T 1
 
9.1%
4 1
 
9.1%

지방청명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
경기남부청
239 
경기북부청
94 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기남부청 239
71.8%
경기북부청 94
 
28.2%

Length

2023-12-11T06:04:12.664500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:04:12.773247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기남부청 239
71.8%
경기북부청 94
 
28.2%

경찰서명
Categorical

HIGH CORRELATION 

Distinct42
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
평택
 
15
남양주
 
15
용인동부
 
15
포천
 
14
파주
 
13
Other values (37)
261 

Length

Max length4
Median length2
Mean length2.8558559
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
평택 15
 
4.5%
남양주 15
 
4.5%
용인동부 15
 
4.5%
포천 14
 
4.2%
파주 13
 
3.9%
이천 13
 
3.9%
양평 12
 
3.6%
화성서부 11
 
3.3%
안산단원 11
 
3.3%
김포 10
 
3.0%
Other values (32) 204
61.3%

Length

2023-12-11T06:04:12.920077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
평택 15
 
4.5%
용인동부 15
 
4.5%
남양주 15
 
4.5%
포천 14
 
4.2%
파주 13
 
3.9%
이천 13
 
3.9%
양평 12
 
3.6%
화성서부 11
 
3.3%
안산단원 11
 
3.3%
안산상록 10
 
3.0%
Other values (32) 204
61.3%

구분명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
파출소
247 
지구대
86 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
파출소 247
74.2%
지구대 86
 
25.8%

Length

2023-12-11T06:04:13.096254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:04:13.251662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
파출소 247
74.2%
지구대 86
 
25.8%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct330
Distinct (%)99.4%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean14151.304
Minimum10011
Maximum18634
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-11T06:04:13.403879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10011
5-th percentile10377.9
Q111989.5
median13944
Q316561.25
95-th percentile18137.9
Maximum18634
Range8623
Interquartile range (IQR)4571.75

Descriptive statistics

Standard deviation2589.7368
Coefficient of variation (CV)0.1830034
Kurtosis-1.3157021
Mean14151.304
Median Absolute Deviation (MAD)2444
Skewness0.12043047
Sum4698233
Variance6706736.9
MonotonicityNot monotonic
2023-12-11T06:04:13.568549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15335 2
 
0.6%
13352 2
 
0.6%
12437 1
 
0.3%
11044 1
 
0.3%
17028 1
 
0.3%
18106 1
 
0.3%
18139 1
 
0.3%
18115 1
 
0.3%
18137 1
 
0.3%
11031 1
 
0.3%
Other values (320) 320
96.1%
ValueCountFrequency (%)
10011 1
0.3%
10019 1
0.3%
10024 1
0.3%
10039 1
0.3%
10057 1
0.3%
10080 1
0.3%
10108 1
0.3%
10113 1
0.3%
10129 1
0.3%
10135 1
0.3%
ValueCountFrequency (%)
18634 1
0.3%
18593 1
0.3%
18567 1
0.3%
18555 1
0.3%
18550 1
0.3%
18537 1
0.3%
18527 1
0.3%
18516 1
0.3%
18472 1
0.3%
18460 1
0.3%

소재지지번주소
Text

Distinct332
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-11T06:04:13.891829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length21.861862
Min length16

Characters and Unicode

Total characters7280
Distinct characters221
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

Unique331 ?
Unique (%)99.4%

Sample

1st row경기도 가평군 조종면 현리 267-5번지
2nd row경기도 가평군 상면 연하리 171-31번지
3rd row경기도 가평군 청평면 청평리 462-3번지
4th row경기도 가평군 가평읍 대곡리 213-4번지
5th row경기도 가평군 북면 목동리 848번지
ValueCountFrequency (%)
경기도 333
 
21.0%
수원시 23
 
1.5%
성남시 22
 
1.4%
안산시 21
 
1.3%
용인시 19
 
1.2%
고양시 16
 
1.0%
화성시 16
 
1.0%
평택시 15
 
0.9%
남양주시 15
 
0.9%
부천시 14
 
0.9%
Other values (801) 1088
68.8%
2023-12-11T06:04:14.373962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1249
 
17.2%
지 346
 
4.8%
기 344
 
4.7%
도 341
 
4.7%
경 336
 
4.6%
번 328
 
4.5%
시 320
 
4.4%
1 263
 
3.6%
- 259
 
3.6%
동 225
 
3.1%
Other values (211) 3269
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4455
61.2%
Decimal Number 1315
 
18.1%
Space Separator 1249
 
17.2%
Dash Punctuation 259
 
3.6%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 346
 
7.8%
기 344
 
7.7%
도 341
 
7.7%
경 336
 
7.5%
번 328
 
7.4%
시 320
 
7.2%
동 225
 
5.1%
리 138
 
3.1%
구 124
 
2.8%
면 92
 
2.1%
Other values (197) 1861
41.8%
Decimal Number
ValueCountFrequency (%)
1 263
20.0%
2 165
12.5%
3 164
12.5%
4 125
9.5%
5 116
8.8%
7 113
8.6%
6 113
8.6%
9 95
 
7.2%
8 89
 
6.8%
0 72
 
5.5%
Space Separator
ValueCountFrequency (%)
1249
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 259
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4455
61.2%
Common 2825
38.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 346
 
7.8%
기 344
 
7.7%
도 341
 
7.7%
경 336
 
7.5%
번 328
 
7.4%
시 320
 
7.2%
동 225
 
5.1%
리 138
 
3.1%
구 124
 
2.8%
면 92
 
2.1%
Other values (197) 1861
41.8%
Common
ValueCountFrequency (%)
1249
44.2%
1 263
 
9.3%
- 259
 
9.2%
2 165
 
5.8%
3 164
 
5.8%
4 125
 
4.4%
5 116
 
4.1%
7 113
 
4.0%
6 113
 
4.0%
9 95
 
3.4%
Other values (4) 163
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4455
61.2%
ASCII 2825
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1249
44.2%
1 263
 
9.3%
- 259
 
9.2%
2 165
 
5.8%
3 164
 
5.8%
4 125
 
4.4%
5 116
 
4.1%
7 113
 
4.0%
6 113
 
4.0%
9 95
 
3.4%
Other values (4) 163
 
5.8%
Hangul
ValueCountFrequency (%)
지 346
 
7.8%
기 344
 
7.7%
도 341
 
7.7%
경 336
 
7.5%
번 328
 
7.4%
시 320
 
7.2%
동 225
 
5.1%
리 138
 
3.1%
구 124
 
2.8%
면 92
 
2.1%
Other values (197) 1861
41.8%

소재지도로명주소
Text

MISSING 

Distinct327
Distinct (%)99.7%
Missing5
Missing (%)1.5%
Memory size2.7 KiB
2023-12-11T06:04:14.680244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length18.954268
Min length13

Characters and Unicode

Total characters6217
Distinct characters237
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique326 ?
Unique (%)99.4%

Sample

1st row경기도 가평군 조종면 현창로 43
2nd row경기도 가평군 상면 청군로 1101
3rd row경기도 가평군 청평면 청평중앙로 33
4th row경기도 가평군 가평읍 가화로 38
5th row경기도 가평군 북면 화악산로 6
ValueCountFrequency (%)
경기도 328
 
21.1%
수원시 23
 
1.5%
성남시 22
 
1.4%
안산시 19
 
1.2%
용인시 18
 
1.2%
화성시 16
 
1.0%
고양시 16
 
1.0%
평택시 15
 
1.0%
부천시 14
 
0.9%
포천시 14
 
0.9%
Other values (703) 1068
68.8%
2023-12-11T06:04:15.251709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1225
19.7%
경 342
 
5.5%
기 339
 
5.5%
도 337
 
5.4%
시 317
 
5.1%
로 302
 
4.9%
1 231
 
3.7%
3 124
 
2.0%
2 124
 
2.0%
구 115
 
1.8%
Other values (227) 2761
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3960
63.7%
Space Separator 1225
 
19.7%
Decimal Number 1002
 
16.1%
Dash Punctuation 29
 
0.5%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 342
 
8.6%
기 339
 
8.6%
도 337
 
8.5%
시 317
 
8.0%
로 302
 
7.6%
구 115
 
2.9%
면 92
 
2.3%
양 89
 
2.2%
길 84
 
2.1%
천 72
 
1.8%
Other values (214) 1871
47.2%
Decimal Number
ValueCountFrequency (%)
1 231
23.1%
3 124
12.4%
2 124
12.4%
5 90
 
9.0%
4 84
 
8.4%
7 83
 
8.3%
6 74
 
7.4%
0 71
 
7.1%
8 65
 
6.5%
9 56
 
5.6%
Space Separator
ValueCountFrequency (%)
1225
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3960
63.7%
Common 2257
36.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 342
 
8.6%
기 339
 
8.6%
도 337
 
8.5%
시 317
 
8.0%
로 302
 
7.6%
구 115
 
2.9%
면 92
 
2.3%
양 89
 
2.2%
길 84
 
2.1%
천 72
 
1.8%
Other values (214) 1871
47.2%
Common
ValueCountFrequency (%)
1225
54.3%
1 231
 
10.2%
3 124
 
5.5%
2 124
 
5.5%
5 90
 
4.0%
4 84
 
3.7%
7 83
 
3.7%
6 74
 
3.3%
0 71
 
3.1%
8 65
 
2.9%
Other values (3) 86
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3960
63.7%
ASCII 2257
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1225
54.3%
1 231
 
10.2%
3 124
 
5.5%
2 124
 
5.5%
5 90
 
4.0%
4 84
 
3.7%
7 83
 
3.7%
6 74
 
3.3%
0 71
 
3.1%
8 65
 
2.9%
Other values (3) 86
 
3.8%
Hangul
ValueCountFrequency (%)
경 342
 
8.6%
기 339
 
8.6%
도 337
 
8.5%
시 317
 
8.0%
로 302
 
7.6%
구 115
 
2.9%
면 92
 
2.3%
양 89
 
2.2%
길 84
 
2.1%
천 72
 
1.8%
Other values (214) 1871
47.2%

WGS84위도
Real number (ℝ)

HIGH CORRELATION 

Distinct329
Distinct (%)99.7%
Missing3
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean37.455568
Minimum36.964637
Maximum38.184679
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-11T06:04:15.423861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.964637
5-th percentile37.049404
Q137.280723
median37.408013
Q337.650651
95-th percentile37.9183
Maximum38.184679
Range1.220042
Interquartile range (IQR)0.36992729

Descriptive statistics

Standard deviation0.26121026
Coefficient of variation (CV)0.0069738699
Kurtosis-0.33169994
Mean37.455568
Median Absolute Deviation (MAD)0.16420926
Skewness0.44486419
Sum12360.337
Variance0.068230799
MonotonicityNot monotonic
2023-12-11T06:04:15.568957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4414696918 2
 
0.6%
37.9939582965 1
 
0.3%
37.1809981739 1
 
0.3%
37.1472837251 1
 
0.3%
37.1596427041 1
 
0.3%
37.1466666635 1
 
0.3%
38.0254520957 1
 
0.3%
38.0995583039 1
 
0.3%
38.1846791657 1
 
0.3%
38.0571398208 1
 
0.3%
Other values (319) 319
95.8%
(Missing) 3
 
0.9%
ValueCountFrequency (%)
36.9646371548 1
0.3%
36.9646852732 1
0.3%
36.9741598754 1
0.3%
36.9822966773 1
0.3%
36.9849968156 1
0.3%
36.9962195844 1
0.3%
36.9982693569 1
0.3%
37.0006636883 1
0.3%
37.0009669458 1
0.3%
37.0036658055 1
0.3%
ValueCountFrequency (%)
38.1846791657 1
0.3%
38.1572485356 1
0.3%
38.0995583039 1
0.3%
38.0915848649 1
0.3%
38.0844996875 1
0.3%
38.0571398208 1
0.3%
38.033091921 1
0.3%
38.0296407981 1
0.3%
38.0254520957 1
0.3%
38.0025436481 1
0.3%

WGS84경도
Real number (ℝ)

HIGH CORRELATION 

Distinct329
Distinct (%)99.7%
Missing3
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean127.06435
Minimum126.55209
Maximum127.7529
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-11T06:04:15.730115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.55209
5-th percentile126.74475
Q1126.86476
median127.05071
Q3127.19774
95-th percentile127.53619
Maximum127.7529
Range1.2008077
Interquartile range (IQR)0.33297543

Descriptive statistics

Standard deviation0.24279125
Coefficient of variation (CV)0.0019107739
Kurtosis-0.097892341
Mean127.06435
Median Absolute Deviation (MAD)0.16548851
Skewness0.55417453
Sum41931.237
Variance0.05894759
MonotonicityNot monotonic
2023-12-11T06:04:15.888409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1439622518 2
 
0.6%
127.0697527447 1
 
0.3%
127.0439736363 1
 
0.3%
127.0759226347 1
 
0.3%
127.0661176308 1
 
0.3%
127.0679190407 1
 
0.3%
127.0734714154 1
 
0.3%
127.0772820209 1
 
0.3%
127.1070558483 1
 
0.3%
127.0130339314 1
 
0.3%
Other values (319) 319
95.8%
(Missing) 3
 
0.9%
ValueCountFrequency (%)
126.5520873101 1
0.3%
126.5825241375 1
0.3%
126.5839753445 1
0.3%
126.5975636374 1
0.3%
126.6233905127 1
0.3%
126.631700429 1
0.3%
126.6677265765 1
0.3%
126.7055876588 1
0.3%
126.7176869971 1
0.3%
126.7183267469 1
0.3%
ValueCountFrequency (%)
127.752895034 1
0.3%
127.7109939243 1
0.3%
127.7087054418 1
0.3%
127.6797438945 1
0.3%
127.6742929623 1
0.3%
127.6616674147 1
0.3%
127.6368043796 1
0.3%
127.6361320716 1
0.3%
127.6304451878 1
0.3%
127.5928018123 1
0.3%

Interactions

2023-12-11T06:04:10.613118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:04:10.061006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:04:10.327070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:04:10.719543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:04:10.134157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:04:10.407982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:04:10.831882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:04:10.230194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:04:10.510554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:04:15.990925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명지방청명경찰서명구분명소재지우편번호WGS84위도WGS84경도
시군명1.0001.0001.0000.5120.9930.9470.912
지방청명1.0001.0001.0000.0750.9810.9920.267
경찰서명1.0001.0001.0000.5890.9970.9470.925
구분명0.5120.0750.5891.0000.4890.2570.353
소재지우편번호0.9930.9810.9970.4891.0000.9120.833
WGS84위도0.9470.9920.9470.2570.9121.0000.461
WGS84경도0.9120.2670.9250.3530.8330.4611.000
2023-12-11T06:04:16.159485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지방청명구분명시군명경찰서명
지방청명1.0000.0480.9550.938
구분명0.0481.0000.4190.444
시군명0.9550.4191.0000.969
경찰서명0.9380.4440.9691.000
2023-12-11T06:04:16.287077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명지방청명경찰서명구분명
소재지우편번호1.000-0.9160.0660.9090.8650.9160.371
WGS84위도-0.9161.000-0.0890.6990.9110.6790.195
WGS84경도0.066-0.0891.0000.6030.2020.6140.267
시군명0.9090.6990.6031.0000.9550.9690.419
지방청명0.8650.9110.2020.9551.0000.9380.048
경찰서명0.9160.6790.6140.9690.9381.0000.444
구분명0.3710.1950.2670.4190.0480.4441.000

Missing values

2023-12-11T06:04:10.980918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:04:11.160119image/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.
2023-12-11T06:04:11.313008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

시군명관서명지방청명경찰서명구분명소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
0가평군조종경기북부청가평파출소12437경기도 가평군 조종면 현리 267-5번지경기도 가평군 조종면 현창로 4337.818647127.347869
1가평군상면경기북부청가평파출소12444경기도 가평군 상면 연하리 171-31번지경기도 가평군 상면 청군로 110137.804789127.357343
2가평군청평경기북부청가평파출소12452경기도 가평군 청평면 청평리 462-3번지경기도 가평군 청평면 청평중앙로 3337.737298127.418225
3가평군읍내경기북부청가평파출소12419경기도 가평군 가평읍 대곡리 213-4번지경기도 가평군 가평읍 가화로 3837.823349127.516158
4가평군북면경기북부청가평파출소12403경기도 가평군 북면 목동리 848번지경기도 가평군 북면 화악산로 637.885613127.549907
5가평군설악경기북부청가평파출소12467경기도 가평군 설악면 신천리 434-4번지경기도 가평군 설악면 신천중앙로 11537.677639127.490667
6고양시행신3경기북부청고양파출소10494경기도 고양시 덕양구 행신동 931번지경기도 고양시 덕양구 중앙로558번길 9037.626692126.838785
7고양시마두경기북부청일산동부지구대10422경기도 고양시 일산동구 장항동 899번지경기도 고양시 일산동구 노루목로 11637.649964126.778518
8고양시백석경기북부청일산동부지구대10447경기도 고양시 일산동구 백석동 1338번지경기도 고양시 일산동구 장백로 7637.643994126.78521
9고양시풍사경기북부청일산동부파출소10306경기도 고양시 일산동구 풍동 1271번지경기도 고양시 일산동구 숲속마을로 5437.667459126.797348
시군명관서명지방청명경찰서명구분명소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
323화성시마도경기남부청화성서부파출소18537경기도 화성시 마도면 석교리 228-2번지경기도 화성시 마도면 석교로 17937.206185126.774387
324화성시팔탄경기남부청화성서부파출소18527경기도 화성시 팔탄면 구장리 529-5번지경기도 화성시 팔탄면 서촌길 937.160384126.903215
325화성시서신경기남부청화성서부파출소18555경기도 화성시 서신면 매화리 351-3번지경기도 화성시 서신면 매화1길 3137.170108126.705588
326화성시봉담경기남부청화성서부파출소18321경기도 화성시 봉담읍 와우리 214-1번지경기도 화성시 봉담읍 와우로15번길 1737.216547126.970514
327화성시남양경기남부청화성서부파출소18258경기도 화성시 남양읍 남양리 651-8번지경기도 화성시 남양읍 남양시장로 4737.208932126.814606
328화성시동탄2경기남부청화성동부파출소18472경기도 화성시 영천동 668-1번지경기도 화성시 동탄영천로 7037.20894127.103751
329화성시안용경기남부청화성동부파출소18362경기도 화성시 안녕동 22번지경기도 화성시 용주로32번길 437.205747127.013279
330화성시정남경기남부청화성동부파출소18516경기도 화성시 정남면 괘랑리 921-1번지경기도 화성시 정남면 만년로 58237.172939126.983932
331화성시태안경기남부청화성동부지구대18390경기도 화성시 진안동 525-30번지경기도 화성시 떡전골로 112-237.208303127.033253
332화성시양감경기남부청화성서부파출소18634경기도 화성시 양감면 신왕리 678-5번지경기도 화성시 양감면 은행나무로 26337.081479126.944817