Overview

Dataset statistics

Number of variables9
Number of observations66
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 KiB
Average record size in memory77.0 B

Variable types

Categorical2
Text4
Numeric3

Alerts

소재지우편번호 is highly overall correlated with WGS84위도 and 1 other fieldsHigh correlation
WGS84위도 is highly overall correlated with 소재지우편번호 and 1 other fieldsHigh correlation
WGS84경도 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 소재지우편번호 and 2 other fieldsHigh correlation
여성상담기관시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-16 06:04:38.325656
Analysis finished2023-12-16 06:04:46.061474
Duration7.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct29
Distinct (%)43.9%
Missing0
Missing (%)0.0%
Memory size660.0 B
부천시
 
4
성남시
 
4
남양주시
 
4
수원시
 
3
광주시
 
3
Other values (24)
48 

Length

Max length4
Median length3
Mean length3.1212121
Min length3

Unique

Unique7 ?
Unique (%)10.6%

Sample

1st row고양시
2nd row고양시
3rd row고양시
4th row광명시
5th row광명시

Common Values

ValueCountFrequency (%)
부천시 4
 
6.1%
성남시 4
 
6.1%
남양주시 4
 
6.1%
수원시 3
 
4.5%
광주시 3
 
4.5%
김포시 3
 
4.5%
화성시 3
 
4.5%
안양시 3
 
4.5%
안산시 3
 
4.5%
용인시 3
 
4.5%
Other values (19) 33
50.0%

Length

2023-12-16T06:04:46.463065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부천시 4
 
6.1%
남양주시 4
 
6.1%
성남시 4
 
6.1%
안양시 3
 
4.5%
고양시 3
 
4.5%
의정부시 3
 
4.5%
용인시 3
 
4.5%
안산시 3
 
4.5%
화성시 3
 
4.5%
김포시 3
 
4.5%
Other values (19) 33
50.0%

여성상담기관시설명
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-16T06:04:47.302683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length23
Mean length13.151515
Min length7

Characters and Unicode

Total characters868
Distinct characters115
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)100.0%

Sample

1st row고양YWCA가족사랑상담소
2nd row고양성폭력상담소
3rd row한마음가족상담센터
4th row광명장애인성폭력상담소
5th row(사)광명여성의전화부설 가정폭력성폭력 통합상담소
ValueCountFrequency (%)
부설 10
 
9.9%
통합상담소 6
 
5.9%
가정폭력성폭력 4
 
4.0%
가정폭력상담소 3
 
3.0%
가족상담센터 2
 
2.0%
고양ywca가족사랑상담소 1
 
1.0%
양주성폭력상담소 1
 
1.0%
용인성폭력상담소 1
 
1.0%
오산느루가정폭력상담소 1
 
1.0%
연천행복뜰상담소 1
 
1.0%
Other values (71) 71
70.3%
2023-12-16T06:04:49.058364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
담 69
 
7.9%
상 69
 
7.9%
소 56
 
6.5%
성 47
 
5.4%
력 44
 
5.1%
폭 44
 
5.1%
가 40
 
4.6%
37
 
4.3%
정 34
 
3.9%
부 26
 
3.0%
Other values (105) 402
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 781
90.0%
Space Separator 37
 
4.3%
Close Punctuation 17
 
2.0%
Open Punctuation 14
 
1.6%
Uppercase Letter 12
 
1.4%
Other Punctuation 5
 
0.6%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
담 69
 
8.8%
상 69
 
8.8%
소 56
 
7.2%
성 47
 
6.0%
력 44
 
5.6%
폭 44
 
5.6%
가 40
 
5.1%
정 34
 
4.4%
부 26
 
3.3%
사 21
 
2.7%
Other values (94) 331
42.4%
Uppercase Letter
ValueCountFrequency (%)
Y 3
25.0%
W 3
25.0%
C 3
25.0%
A 3
25.0%
Other Punctuation
ValueCountFrequency (%)
· 3
60.0%
, 2
40.0%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 781
90.0%
Common 75
 
8.6%
Latin 12
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
담 69
 
8.8%
상 69
 
8.8%
소 56
 
7.2%
성 47
 
6.0%
력 44
 
5.6%
폭 44
 
5.6%
가 40
 
5.1%
정 34
 
4.4%
부 26
 
3.3%
사 21
 
2.7%
Other values (94) 331
42.4%
Common
ValueCountFrequency (%)
37
49.3%
) 17
22.7%
( 14
 
18.7%
· 3
 
4.0%
, 2
 
2.7%
1 1
 
1.3%
2 1
 
1.3%
Latin
ValueCountFrequency (%)
Y 3
25.0%
W 3
25.0%
C 3
25.0%
A 3
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 781
90.0%
ASCII 84
 
9.7%
None 3
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
담 69
 
8.8%
상 69
 
8.8%
소 56
 
7.2%
성 47
 
6.0%
력 44
 
5.6%
폭 44
 
5.6%
가 40
 
5.1%
정 34
 
4.4%
부 26
 
3.3%
사 21
 
2.7%
Other values (94) 331
42.4%
ASCII
ValueCountFrequency (%)
37
44.0%
) 17
20.2%
( 14
 
16.7%
Y 3
 
3.6%
W 3
 
3.6%
C 3
 
3.6%
A 3
 
3.6%
, 2
 
2.4%
1 1
 
1.2%
2 1
 
1.2%
None
ValueCountFrequency (%)
· 3
100.0%

기관전화번호
Text

Distinct64
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-16T06:04:50.088656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12
Min length11

Characters and Unicode

Total characters792
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 (%)93.9%

Sample

1st row031-921-1366
2nd row031-907-1368
3rd row031-979-1367
4th row02-898-1477
5th row02-2060-0245
ValueCountFrequency (%)
031-864-7546 2
 
3.0%
031-876-7545 2
 
3.0%
031-281-1366 1
 
1.5%
031-921-1366 1
 
1.5%
031-286-1758 1
 
1.5%
031-413-9414 1
 
1.5%
031-416-7179 1
 
1.5%
031-671-9191 1
 
1.5%
031-427-1366 1
 
1.5%
031-442-5385 1
 
1.5%
Other values (54) 54
81.8%
2023-12-16T06:04:52.335049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 132
16.7%
1 129
16.3%
3 114
14.4%
0 94
11.9%
6 71
9.0%
5 48
 
6.1%
7 46
 
5.8%
2 42
 
5.3%
9 40
 
5.1%
4 39
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 660
83.3%
Dash Punctuation 132
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 129
19.5%
3 114
17.3%
0 94
14.2%
6 71
10.8%
5 48
 
7.3%
7 46
 
7.0%
2 42
 
6.4%
9 40
 
6.1%
4 39
 
5.9%
8 37
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 132
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 792
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 132
16.7%
1 129
16.3%
3 114
14.4%
0 94
11.9%
6 71
9.0%
5 48
 
6.1%
7 46
 
5.8%
2 42
 
5.3%
9 40
 
5.1%
4 39
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 792
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 132
16.7%
1 129
16.3%
3 114
14.4%
0 94
11.9%
6 71
9.0%
5 48
 
6.1%
7 46
 
5.8%
2 42
 
5.3%
9 40
 
5.1%
4 39
 
4.9%

여성상담유형명
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
가정폭력상담소
30 
성폭력피해상담소
27 
통합상담소
9 

Length

Max length8
Median length7
Mean length7.1363636
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가정폭력상담소
2nd row성폭력피해상담소
3rd row성폭력피해상담소
4th row성폭력피해상담소
5th row통합상담소

Common Values

ValueCountFrequency (%)
가정폭력상담소 30
45.5%
성폭력피해상담소 27
40.9%
통합상담소 9
 
13.6%

Length

2023-12-16T06:04:53.340597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T06:04:54.174818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정폭력상담소 30
45.5%
성폭력피해상담소 27
40.9%
통합상담소 9
 
13.6%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct63
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13866.47
Minimum10059
Maximum18501
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-16T06:04:55.560859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10059
5-th percentile10390.5
Q111818.75
median13455.5
Q315849
95-th percentile18086
Maximum18501
Range8442
Interquartile range (IQR)4030.25

Descriptive statistics

Standard deviation2453.4427
Coefficient of variation (CV)0.17693348
Kurtosis-1.0632522
Mean13866.47
Median Absolute Deviation (MAD)2007
Skewness0.26749452
Sum915187
Variance6019381.3
MonotonicityNot monotonic
2023-12-16T06:04:56.409130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16263 2
 
3.0%
11451 2
 
3.0%
11775 2
 
3.0%
10387 1
 
1.5%
16996 1
 
1.5%
17596 1
 
1.5%
14109 1
 
1.5%
14092 1
 
1.5%
13935 1
 
1.5%
12556 1
 
1.5%
Other values (53) 53
80.3%
ValueCountFrequency (%)
10059 1
1.5%
10098 1
1.5%
10108 1
1.5%
10387 1
1.5%
10401 1
1.5%
10526 1
1.5%
10915 1
1.5%
11023 1
1.5%
11025 1
1.5%
11145 1
1.5%
ValueCountFrequency (%)
18501 1
1.5%
18303 1
1.5%
18289 1
1.5%
18141 1
1.5%
17921 1
1.5%
17732 1
1.5%
17596 1
1.5%
17364 1
1.5%
16996 1
1.5%
16979 1
1.5%

소재지지번주소
Text

Distinct64
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-16T06:04:57.347691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length24
Mean length21.030303
Min length17

Characters and Unicode

Total characters1388
Distinct characters127
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 (%)93.9%

Sample

1st row경기도 고양시 일산서구 주엽동 115-1번지
2nd row경기도 고양시 일산동구 장항동 776-1번지
3rd row경기도 고양시 덕양구 행신동 765번지
4th row경기도 광명시 일직동 512-3번지
5th row경기도 광명시 철산동 220-2번지
ValueCountFrequency (%)
경기도 66
 
22.4%
남양주시 4
 
1.4%
부천시 4
 
1.4%
성남시 4
 
1.4%
의정부시 3
 
1.0%
안산시 3
 
1.0%
기흥구 3
 
1.0%
김포시 3
 
1.0%
송정동 3
 
1.0%
광주시 3
 
1.0%
Other values (164) 198
67.3%
2023-12-16T06:04:58.969659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
228
 
16.4%
기 69
 
5.0%
경 66
 
4.8%
도 66
 
4.8%
지 66
 
4.8%
번 66
 
4.8%
시 65
 
4.7%
동 64
 
4.6%
- 57
 
4.1%
1 53
 
3.8%
Other values (117) 588
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 827
59.6%
Decimal Number 276
 
19.9%
Space Separator 228
 
16.4%
Dash Punctuation 57
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 69
 
8.3%
경 66
 
8.0%
도 66
 
8.0%
지 66
 
8.0%
번 66
 
8.0%
시 65
 
7.9%
동 64
 
7.7%
구 25
 
3.0%
양 18
 
2.2%
남 12
 
1.5%
Other values (105) 310
37.5%
Decimal Number
ValueCountFrequency (%)
1 53
19.2%
3 37
13.4%
7 29
10.5%
4 28
10.1%
2 27
9.8%
6 27
9.8%
5 25
9.1%
0 19
 
6.9%
9 17
 
6.2%
8 14
 
5.1%
Space Separator
ValueCountFrequency (%)
228
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 827
59.6%
Common 561
40.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 69
 
8.3%
경 66
 
8.0%
도 66
 
8.0%
지 66
 
8.0%
번 66
 
8.0%
시 65
 
7.9%
동 64
 
7.7%
구 25
 
3.0%
양 18
 
2.2%
남 12
 
1.5%
Other values (105) 310
37.5%
Common
ValueCountFrequency (%)
228
40.6%
- 57
 
10.2%
1 53
 
9.4%
3 37
 
6.6%
7 29
 
5.2%
4 28
 
5.0%
2 27
 
4.8%
6 27
 
4.8%
5 25
 
4.5%
0 19
 
3.4%
Other values (2) 31
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 827
59.6%
ASCII 561
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
228
40.6%
- 57
 
10.2%
1 53
 
9.4%
3 37
 
6.6%
7 29
 
5.2%
4 28
 
5.0%
2 27
 
4.8%
6 27
 
4.8%
5 25
 
4.5%
0 19
 
3.4%
Other values (2) 31
 
5.5%
Hangul
ValueCountFrequency (%)
기 69
 
8.3%
경 66
 
8.0%
도 66
 
8.0%
지 66
 
8.0%
번 66
 
8.0%
시 65
 
7.9%
동 64
 
7.7%
구 25
 
3.0%
양 18
 
2.2%
남 12
 
1.5%
Other values (105) 310
37.5%

소재지도로명주소
Text

Distinct64
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-16T06:05:00.014445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length18.484848
Min length14

Characters and Unicode

Total characters1220
Distinct characters129
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 (%)93.9%

Sample

1st row경기도 고양시 일산서구 주엽로 134
2nd row경기도 고양시 일산동구 무궁화로 32-21
3rd row경기도 고양시 덕양구 용현로 9
4th row경기도 광명시 양지로 21
5th row경기도 광명시 오리로 902
ValueCountFrequency (%)
경기도 66
 
22.7%
5 4
 
1.4%
남양주시 4
 
1.4%
성남시 4
 
1.4%
부천시 4
 
1.4%
광주시 3
 
1.0%
화성시 3
 
1.0%
안양시 3
 
1.0%
기흥구 3
 
1.0%
용인시 3
 
1.0%
Other values (158) 194
66.7%
2023-12-16T06:05:01.698716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
225
18.4%
경 70
 
5.7%
기 70
 
5.7%
시 67
 
5.5%
도 66
 
5.4%
로 61
 
5.0%
1 45
 
3.7%
3 30
 
2.5%
길 29
 
2.4%
2 27
 
2.2%
Other values (119) 530
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 759
62.2%
Space Separator 225
 
18.4%
Decimal Number 225
 
18.4%
Dash Punctuation 11
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 70
 
9.2%
기 70
 
9.2%
시 67
 
8.8%
도 66
 
8.7%
로 61
 
8.0%
길 29
 
3.8%
번 23
 
3.0%
구 22
 
2.9%
양 20
 
2.6%
주 17
 
2.2%
Other values (107) 314
41.4%
Decimal Number
ValueCountFrequency (%)
1 45
20.0%
3 30
13.3%
2 27
12.0%
5 23
10.2%
4 22
9.8%
6 20
8.9%
9 18
 
8.0%
0 16
 
7.1%
7 14
 
6.2%
8 10
 
4.4%
Space Separator
ValueCountFrequency (%)
225
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 759
62.2%
Common 461
37.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 70
 
9.2%
기 70
 
9.2%
시 67
 
8.8%
도 66
 
8.7%
로 61
 
8.0%
길 29
 
3.8%
번 23
 
3.0%
구 22
 
2.9%
양 20
 
2.6%
주 17
 
2.2%
Other values (107) 314
41.4%
Common
ValueCountFrequency (%)
225
48.8%
1 45
 
9.8%
3 30
 
6.5%
2 27
 
5.9%
5 23
 
5.0%
4 22
 
4.8%
6 20
 
4.3%
9 18
 
3.9%
0 16
 
3.5%
7 14
 
3.0%
Other values (2) 21
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 759
62.2%
ASCII 461
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
225
48.8%
1 45
 
9.8%
3 30
 
6.5%
2 27
 
5.9%
5 23
 
5.0%
4 22
 
4.8%
6 20
 
4.3%
9 18
 
3.9%
0 16
 
3.5%
7 14
 
3.0%
Other values (2) 21
 
4.6%
Hangul
ValueCountFrequency (%)
경 70
 
9.2%
기 70
 
9.2%
시 67
 
8.8%
도 66
 
8.7%
로 61
 
8.0%
길 29
 
3.8%
번 23
 
3.0%
구 22
 
2.9%
양 20
 
2.6%
주 17
 
2.2%
Other values (107) 314
41.4%

WGS84위도
Real number (ℝ)

HIGH CORRELATION 

Distinct65
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.479064
Minimum36.993372
Maximum38.039863
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-16T06:05:02.403970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.993372
5-th percentile37.151708
Q137.304896
median37.439549
Q337.632189
95-th percentile37.883519
Maximum38.039863
Range1.046491
Interquartile range (IQR)0.32729211

Descriptive statistics

Standard deviation0.23084324
Coefficient of variation (CV)0.0061592584
Kurtosis-0.16346032
Mean37.479064
Median Absolute Deviation (MAD)0.16067111
Skewness0.31222983
Sum2473.6182
Variance0.053288602
MonotonicityNot monotonic
2023-12-16T06:05:03.035832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.84092011 2
 
3.0%
37.67062747 1
 
1.5%
37.31772176 1
 
1.5%
37.31210112 1
 
1.5%
36.99791219 1
 
1.5%
37.37650101 1
 
1.5%
37.38744418 1
 
1.5%
37.40562891 1
 
1.5%
37.49023484 1
 
1.5%
37.29341439 1
 
1.5%
Other values (55) 55
83.3%
ValueCountFrequency (%)
36.99337209 1
1.5%
36.99791219 1
1.5%
37.06437372 1
1.5%
37.14544887 1
1.5%
37.17048401 1
1.5%
37.22014996 1
1.5%
37.24901839 1
1.5%
37.25774434 1
1.5%
37.2714146 1
1.5%
37.27481999 1
1.5%
ValueCountFrequency (%)
38.0398631 1
1.5%
38.00048735 1
1.5%
37.90605044 1
1.5%
37.897718 1
1.5%
37.84092011 2
3.0%
37.8229751 1
1.5%
37.75248899 1
1.5%
37.75192981 1
1.5%
37.74906462 1
1.5%
37.74898498 1
1.5%

WGS84경도
Real number (ℝ)

HIGH CORRELATION 

Distinct65
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.02753
Minimum126.62366
Maximum127.63686
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-16T06:05:03.818621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.62366
5-th percentile126.74104
Q1126.84788
median127.06516
Q3127.14255
95-th percentile127.28152
Maximum127.63686
Range1.0131979
Interquartile range (IQR)0.294671

Descriptive statistics

Standard deviation0.19999108
Coefficient of variation (CV)0.0015743916
Kurtosis0.33841644
Mean127.02753
Median Absolute Deviation (MAD)0.13465885
Skewness0.35571242
Sum8383.817
Variance0.039996433
MonotonicityNot monotonic
2023-12-16T06:05:04.525776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0628893 2
 
3.0%
126.7580992 1
 
1.5%
126.9500189 1
 
1.5%
126.8408015 1
 
1.5%
127.2835974 1
 
1.5%
126.9563436 1
 
1.5%
126.9302865 1
 
1.5%
126.9530153 1
 
1.5%
127.4901246 1
 
1.5%
127.6368604 1
 
1.5%
Other values (55) 55
83.3%
ValueCountFrequency (%)
126.6236625 1
1.5%
126.710608 1
1.5%
126.7123216 1
1.5%
126.7353576 1
1.5%
126.7580992 1
1.5%
126.7594969 1
1.5%
126.7678921 1
1.5%
126.7694163 1
1.5%
126.7729292 1
1.5%
126.7822989 1
1.5%
ValueCountFrequency (%)
127.6368604 1
1.5%
127.4901246 1
1.5%
127.4411032 1
1.5%
127.2835974 1
1.5%
127.2753012 1
1.5%
127.2581728 1
1.5%
127.2574215 1
1.5%
127.2434876 1
1.5%
127.2123078 1
1.5%
127.2081788 1
1.5%

Interactions

2023-12-16T06:04:43.369801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T06:04:40.738421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T06:04:42.076724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T06:04:43.793021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T06:04:41.178593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T06:04:42.478680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T06:04:44.177608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T06:04:41.680317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T06:04:42.892936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-16T06:05:04.844369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명여성상담기관시설명기관전화번호여성상담유형명소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
시군명1.0001.0001.0000.0000.9951.0001.0000.9760.984
여성상담기관시설명1.0001.0001.0001.0001.0001.0001.0001.0001.000
기관전화번호1.0001.0001.0000.7181.0001.0001.0001.0001.000
여성상담유형명0.0001.0000.7181.0000.0000.7180.7180.0000.000
소재지우편번호0.9951.0001.0000.0001.0001.0001.0000.9080.734
소재지지번주소1.0001.0001.0000.7181.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0000.7181.0001.0001.0001.0001.000
WGS84위도0.9761.0001.0000.0000.9081.0001.0001.0000.549
WGS84경도0.9841.0001.0000.0000.7341.0001.0000.5491.000
2023-12-16T06:05:05.273463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
여성상담유형명시군명
여성상담유형명1.0000.000
시군명0.0001.000
2023-12-16T06:05:05.641385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명여성상담유형명
소재지우편번호1.000-0.9180.0280.7800.000
WGS84위도-0.9181.000-0.0400.6840.000
WGS84경도0.028-0.0401.0000.7280.000
시군명0.7800.6840.7281.0000.000
여성상담유형명0.0000.0000.0000.0001.000

Missing values

2023-12-16T06:04:45.110156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-16T06:04:45.677036image/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

시군명여성상담기관시설명기관전화번호여성상담유형명소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
0고양시고양YWCA가족사랑상담소031-921-1366가정폭력상담소10387경기도 고양시 일산서구 주엽동 115-1번지경기도 고양시 일산서구 주엽로 13437.670627126.758099
1고양시고양성폭력상담소031-907-1368성폭력피해상담소10401경기도 고양시 일산동구 장항동 776-1번지경기도 고양시 일산동구 무궁화로 32-2137.662033126.769416
2고양시한마음가족상담센터031-979-1367성폭력피해상담소10526경기도 고양시 덕양구 행신동 765번지경기도 고양시 덕양구 용현로 937.613671126.835516
3광명시광명장애인성폭력상담소02-898-1477성폭력피해상담소14345경기도 광명시 일직동 512-3번지경기도 광명시 양지로 2137.41771126.882206
4광명시(사)광명여성의전화부설 가정폭력성폭력 통합상담소02-2060-0245통합상담소14222경기도 광명시 철산동 220-2번지경기도 광명시 오리로 90237.477279126.862887
5광주시광주열린상담소031-766-3395가정폭력상담소12743경기도 광주시 송정동 103-10번지경기도 광주시 광주대로97번길 1837.415365127.258173
6광주시광주가족사랑상담센터031-761-2461가정폭력상담소12740경기도 광주시 송정동 6-9번지경기도 광주시 경안천로 14437.417461127.275301
7광주시(사)씨알여성회부설성폭력상담소031-797-7031성폭력피해상담소12739경기도 광주시 송정동 130-14번지경기도 광주시 광주대로129번길 1337.417931127.257422
8구리시구리가정·성통합상담지원센터031-551-9976통합상담소11954경기도 구리시 교문동 390번지경기도 구리시 아차산로 45337.589229127.146483
9구리시구리가정폭력상담소031-569-0101가정폭력상담소11950경기도 구리시 교문동 309-13번지경기도 구리시 딸기원로8번길 4537.601286127.120562
시군명여성상담기관시설명기관전화번호여성상담유형명소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
56파주시성폭력상담소함께031-946-2096성폭력피해상담소10915경기도 파주시 금촌동 987-4번지경기도 파주시 금빛로 4437.752489126.767892
57평택시평택가정상담센터031-611-4251가정폭력상담소17732경기도 평택시 이충동 591번지경기도 평택시 이충로 84-637.064374127.067421
58평택시사)원선복지회부설평택성폭력상담소031-618-1366성폭력피해상담소17921경기도 평택시 통복동 280-6번지경기도 평택시 원평로105번길 2936.993372127.078789
59포천시포천가족성상담센터031-542-3171성폭력피해상담소11180경기도 포천시 소흘읍 송우리 494-1번지경기도 포천시 소흘읍 호국로 57137.822975127.140169
60포천시사)해피패밀리포천지부 희망가족상담소031-531-2821가정폭력상담소11145경기도 포천시 신읍동 47-18번지경기도 포천시 중앙로119번길 2037.897718127.200993
61하남시하남성폭력상담소031-796-1274성폭력피해상담소12972경기도 하남시 덕풍동 346-4번지경기도 하남시 신장로205번길 2737.542525127.197895
62하남시(사)정해복지부설 하남가정폭력상담소031-794-4111가정폭력상담소12968경기도 하남시 덕풍동 419-32번지경기도 하남시 신장로 130-537.538735127.203954
63화성시화성시 가정폭력성폭력 통합상담소031-378-5691통합상담소18501경기도 화성시 산척동 726번지경기도 화성시 동탄대로8길 3637.170484127.110463
64화성시화성가정상담소031-296-1055가정폭력상담소18289경기도 화성시 매송면 원평리 64-5번지경기도 화성시 매송면 화성로 239337.249018126.927185
65화성시맘톡톡상담센터031-298-2117성폭력피해상담소18303경기도 화성시 봉담읍 동화리 558-12번지경기도 화성시 봉담읍 오래3길 1137.22015126.954729