Overview

Dataset statistics

Number of variables8
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory71.3 B

Variable types

Text5
Numeric3

Dataset

Description아이돌봄 서비스 제공기관 현황
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=NKYK0193XDWY50T71W7J1725190&infSeq=1

Alerts

소재지우편번호 is highly overall correlated with WGS84위도High correlation
WGS84위도 is highly overall correlated with 소재지우편번호High correlation
시군명 has unique valuesUnique
기관명 has unique valuesUnique
기관전화번호 has unique valuesUnique
소재지우편번호 has unique valuesUnique
소재지지번주소 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
WGS84위도 has unique valuesUnique
WGS84경도 has unique valuesUnique

Reproduction

Analysis started2023-12-10 21:27:34.901484
Analysis finished2023-12-10 21:27:36.045222
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T06:27:36.167740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0967742
Min length3

Characters and Unicode

Total characters96
Distinct characters38
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

Unique31 ?
Unique (%)100.0%

Sample

1st row가평군
2nd row고양시
3rd row과천시
4th row광명시
5th row광주시
ValueCountFrequency (%)
가평군 1
 
3.2%
안양시 1
 
3.2%
하남시 1
 
3.2%
포천시 1
 
3.2%
평택시 1
 
3.2%
파주시 1
 
3.2%
이천시 1
 
3.2%
의정부시 1
 
3.2%
의왕시 1
 
3.2%
용인시 1
 
3.2%
Other values (21) 21
67.7%
2023-12-11T06:27:36.459076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 29
30.2%
천 6
 
6.2%
양 5
 
5.2%
주 5
 
5.2%
군 4
 
4.2%
성 3
 
3.1%
포 3
 
3.1%
안 3
 
3.1%
평 3
 
3.1%
남 3
 
3.1%
Other values (28) 32
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 96
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 29
30.2%
천 6
 
6.2%
양 5
 
5.2%
주 5
 
5.2%
군 4
 
4.2%
성 3
 
3.1%
포 3
 
3.1%
안 3
 
3.1%
평 3
 
3.1%
남 3
 
3.1%
Other values (28) 32
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 96
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 29
30.2%
천 6
 
6.2%
양 5
 
5.2%
주 5
 
5.2%
군 4
 
4.2%
성 3
 
3.1%
포 3
 
3.1%
안 3
 
3.1%
평 3
 
3.1%
남 3
 
3.1%
Other values (28) 32
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 96
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 29
30.2%
천 6
 
6.2%
양 5
 
5.2%
주 5
 
5.2%
군 4
 
4.2%
성 3
 
3.1%
포 3
 
3.1%
안 3
 
3.1%
평 3
 
3.1%
남 3
 
3.1%
Other values (28) 32
33.3%

기관명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T06:27:36.642738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length8.6774194
Min length6

Characters and Unicode

Total characters269
Distinct characters49
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

Unique31 ?
Unique (%)100.0%

Sample

1st row가평군 가족센터
2nd row고양시 건강가정지원센터
3rd row과천시 가족센터
4th row광명시 가족센터
5th row광주시 가족센터
ValueCountFrequency (%)
가족센터 25
41.0%
건강가정지원센터 5
 
8.2%
의왕시 1
 
1.6%
양주시 1
 
1.6%
양평군 1
 
1.6%
여주시 1
 
1.6%
연천군 1
 
1.6%
오산시 1
 
1.6%
용인시 1
 
1.6%
가평군 1
 
1.6%
Other values (23) 23
37.7%
2023-12-11T06:27:36.905887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
가 31
11.5%
센 30
11.2%
터 30
11.2%
30
11.2%
시 28
 
10.4%
족 25
 
9.3%
정 6
 
2.2%
원 6
 
2.2%
천 6
 
2.2%
양 5
 
1.9%
Other values (39) 72
26.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 235
87.4%
Space Separator 30
 
11.2%
Uppercase Letter 4
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 31
13.2%
센 30
12.8%
터 30
12.8%
시 28
11.9%
족 25
 
10.6%
정 6
 
2.6%
원 6
 
2.6%
천 6
 
2.6%
양 5
 
2.1%
주 5
 
2.1%
Other values (34) 63
26.8%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
C 1
25.0%
M 1
25.0%
Y 1
25.0%
Space Separator
ValueCountFrequency (%)
30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 235
87.4%
Common 30
 
11.2%
Latin 4
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 31
13.2%
센 30
12.8%
터 30
12.8%
시 28
11.9%
족 25
 
10.6%
정 6
 
2.6%
원 6
 
2.6%
천 6
 
2.6%
양 5
 
2.1%
주 5
 
2.1%
Other values (34) 63
26.8%
Latin
ValueCountFrequency (%)
A 1
25.0%
C 1
25.0%
M 1
25.0%
Y 1
25.0%
Common
ValueCountFrequency (%)
30
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 235
87.4%
ASCII 34
 
12.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
가 31
13.2%
센 30
12.8%
터 30
12.8%
시 28
11.9%
족 25
 
10.6%
정 6
 
2.6%
원 6
 
2.6%
천 6
 
2.6%
양 5
 
2.1%
주 5
 
2.1%
Other values (34) 63
26.8%
ASCII
ValueCountFrequency (%)
30
88.2%
A 1
 
2.9%
C 1
 
2.9%
M 1
 
2.9%
Y 1
 
2.9%

기관전화번호
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T06:27:37.098714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12
Min length11

Characters and Unicode

Total characters372
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

Unique31 ?
Unique (%)100.0%

Sample

1st row031-582-9902
2nd row031-969-4041
3rd row02-503-0070
4th row02-6265-1366
5th row031-798-7141
ValueCountFrequency (%)
031-582-9902 1
 
3.2%
031-8045-5572 1
 
3.2%
031-793-2993 1
 
3.2%
031-532-2062 1
 
3.2%
031-615-3959 1
 
3.2%
031-949-9164 1
 
3.2%
031-631-2260 1
 
3.2%
031-878-7117 1
 
3.2%
031-429-8931 1
 
3.2%
031-323-7131 1
 
3.2%
Other values (21) 21
67.7%
2023-12-11T06:27:37.417882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 62
16.7%
- 62
16.7%
1 57
15.3%
0 50
13.4%
2 27
7.3%
9 26
7.0%
5 25
6.7%
7 20
 
5.4%
8 17
 
4.6%
6 17
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 310
83.3%
Dash Punctuation 62
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 62
20.0%
1 57
18.4%
0 50
16.1%
2 27
8.7%
9 26
8.4%
5 25
8.1%
7 20
 
6.5%
8 17
 
5.5%
6 17
 
5.5%
4 9
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 372
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 62
16.7%
- 62
16.7%
1 57
15.3%
0 50
13.4%
2 27
7.3%
9 26
7.0%
5 25
6.7%
7 20
 
5.4%
8 17
 
4.6%
6 17
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 372
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 62
16.7%
- 62
16.7%
1 57
15.3%
0 50
13.4%
2 27
7.3%
9 26
7.0%
5 25
6.7%
7 20
 
5.4%
8 17
 
4.6%
6 17
 
4.6%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13866.806
Minimum10071
Maximum18372
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-11T06:27:37.525214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10071
5-th percentile10574.5
Q111801.5
median13112
Q315915
95-th percentile17932.5
Maximum18372
Range8301
Interquartile range (IQR)4113.5

Descriptive statistics

Standard deviation2523.2011
Coefficient of variation (CV)0.18195979
Kurtosis-1.1285568
Mean13866.806
Median Absolute Deviation (MAD)1940
Skewness0.34241164
Sum429871
Variance6366544
MonotonicityNot monotonic
2023-12-11T06:27:37.632893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
12414 1
 
3.2%
10226 1
 
3.2%
18372 1
 
3.2%
12947 1
 
3.2%
11160 1
 
3.2%
17730 1
 
3.2%
10923 1
 
3.2%
17375 1
 
3.2%
11649 1
 
3.2%
16007 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
10071 1
3.2%
10226 1
3.2%
10923 1
3.2%
11026 1
3.2%
11160 1
3.2%
11330 1
3.2%
11443 1
3.2%
11649 1
3.2%
11954 1
3.2%
12284 1
3.2%
ValueCountFrequency (%)
18372 1
3.2%
18135 1
3.2%
17730 1
3.2%
17590 1
3.2%
17375 1
3.2%
16942 1
3.2%
16263 1
3.2%
16007 1
3.2%
15823 1
3.2%
15461 1
3.2%

소재지지번주소
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T06:27:37.873701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length24
Mean length20.645161
Min length17

Characters and Unicode

Total characters640
Distinct characters102
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 가평읍 읍내리 608-5번지 가평군2청사
2nd row경기도 고양시 일산서구 대화동 2321번지 일산서구청 2층
3rd row경기도 과천시 관문동 107-5번지
4th row경기도 광명시 철산동 379번지
5th row경기도 광주시 송정동 115-4번지
ValueCountFrequency (%)
경기도 31
 
22.1%
공흥리 1
 
0.7%
오산동 1
 
0.7%
오산시 1
 
0.7%
541-6번지 1
 
0.7%
은대리 1
 
0.7%
전곡읍 1
 
0.7%
연천군 1
 
0.7%
현대아파트 1
 
0.7%
181번지 1
 
0.7%
Other values (100) 100
71.4%
2023-12-11T06:27:38.266834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
109
17.0%
지 32
 
5.0%
경 31
 
4.8%
번 31
 
4.8%
동 31
 
4.8%
기 31
 
4.8%
도 31
 
4.8%
1 29
 
4.5%
시 29
 
4.5%
- 17
 
2.7%
Other values (92) 269
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 397
62.0%
Decimal Number 117
 
18.3%
Space Separator 109
 
17.0%
Dash Punctuation 17
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 32
 
8.1%
경 31
 
7.8%
번 31
 
7.8%
동 31
 
7.8%
기 31
 
7.8%
도 31
 
7.8%
시 29
 
7.3%
산 10
 
2.5%
구 9
 
2.3%
정 7
 
1.8%
Other values (80) 155
39.0%
Decimal Number
ValueCountFrequency (%)
1 29
24.8%
2 15
12.8%
7 12
10.3%
5 12
10.3%
8 11
 
9.4%
6 10
 
8.5%
9 9
 
7.7%
3 7
 
6.0%
0 6
 
5.1%
4 6
 
5.1%
Space Separator
ValueCountFrequency (%)
109
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 396
61.9%
Common 243
38.0%
Han 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 32
 
8.1%
경 31
 
7.8%
번 31
 
7.8%
동 31
 
7.8%
기 31
 
7.8%
도 31
 
7.8%
시 29
 
7.3%
산 10
 
2.5%
구 9
 
2.3%
정 7
 
1.8%
Other values (79) 154
38.9%
Common
ValueCountFrequency (%)
109
44.9%
1 29
 
11.9%
- 17
 
7.0%
2 15
 
6.2%
7 12
 
4.9%
5 12
 
4.9%
8 11
 
4.5%
6 10
 
4.1%
9 9
 
3.7%
3 7
 
2.9%
Other values (2) 12
 
4.9%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 396
61.9%
ASCII 243
38.0%
CJK 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
109
44.9%
1 29
 
11.9%
- 17
 
7.0%
2 15
 
6.2%
7 12
 
4.9%
5 12
 
4.9%
8 11
 
4.5%
6 10
 
4.1%
9 9
 
3.7%
3 7
 
2.9%
Other values (2) 12
 
4.9%
Hangul
ValueCountFrequency (%)
지 32
 
8.1%
경 31
 
7.8%
번 31
 
7.8%
동 31
 
7.8%
기 31
 
7.8%
도 31
 
7.8%
시 29
 
7.3%
산 10
 
2.5%
구 9
 
2.3%
정 7
 
1.8%
Other values (79) 154
38.9%
CJK
ValueCountFrequency (%)
內 1
100.0%

소재지도로명주소
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T06:27:38.530717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length24
Mean length18.16129
Min length14

Characters and Unicode

Total characters563
Distinct characters106
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

Unique31 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 가평읍 석봉로191번길 10
2nd row경기도 고양시 일산서구 중앙로 1600
3rd row경기도 과천시 관악산길 58
4th row경기도 광명시 디지털로 34
5th row경기도 광주시 통미로52번길 19
ValueCountFrequency (%)
경기도 31
 
22.5%
중앙로 3
 
2.2%
19 2
 
1.4%
중앙로111번길 1
 
0.7%
성호대로 1
 
0.7%
오산시 1
 
0.7%
11 1
 
0.7%
전영로 1
 
0.7%
전곡읍 1
 
0.7%
연천군 1
 
0.7%
Other values (95) 95
68.8%
2023-12-11T06:27:38.879672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
107
19.0%
경 32
 
5.7%
도 31
 
5.5%
기 31
 
5.5%
시 29
 
5.2%
로 29
 
5.2%
1 26
 
4.6%
2 14
 
2.5%
5 12
 
2.1%
9 11
 
2.0%
Other values (96) 241
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 349
62.0%
Space Separator 107
 
19.0%
Decimal Number 102
 
18.1%
Dash Punctuation 2
 
0.4%
Other Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 32
 
9.2%
도 31
 
8.9%
기 31
 
8.9%
시 29
 
8.3%
로 29
 
8.3%
길 10
 
2.9%
천 10
 
2.9%
번 8
 
2.3%
구 8
 
2.3%
산 7
 
2.0%
Other values (81) 154
44.1%
Decimal Number
ValueCountFrequency (%)
1 26
25.5%
2 14
13.7%
5 12
11.8%
9 11
10.8%
4 10
 
9.8%
3 9
 
8.8%
0 7
 
6.9%
6 7
 
6.9%
7 3
 
2.9%
8 3
 
2.9%
Space Separator
ValueCountFrequency (%)
107
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 348
61.8%
Common 214
38.0%
Han 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 32
 
9.2%
도 31
 
8.9%
기 31
 
8.9%
시 29
 
8.3%
로 29
 
8.3%
길 10
 
2.9%
천 10
 
2.9%
번 8
 
2.3%
구 8
 
2.3%
산 7
 
2.0%
Other values (80) 153
44.0%
Common
ValueCountFrequency (%)
107
50.0%
1 26
 
12.1%
2 14
 
6.5%
5 12
 
5.6%
9 11
 
5.1%
4 10
 
4.7%
3 9
 
4.2%
0 7
 
3.3%
6 7
 
3.3%
7 3
 
1.4%
Other values (5) 8
 
3.7%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 348
61.8%
ASCII 214
38.0%
CJK 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
107
50.0%
1 26
 
12.1%
2 14
 
6.5%
5 12
 
5.6%
9 11
 
5.1%
4 10
 
4.7%
3 9
 
4.2%
0 7
 
3.3%
6 7
 
3.3%
7 3
 
1.4%
Other values (5) 8
 
3.7%
Hangul
ValueCountFrequency (%)
경 32
 
9.2%
도 31
 
8.9%
기 31
 
8.9%
시 29
 
8.3%
로 29
 
8.3%
길 10
 
2.9%
천 10
 
2.9%
번 8
 
2.3%
구 8
 
2.3%
산 7
 
2.0%
Other values (80) 153
44.0%
CJK
ValueCountFrequency (%)
內 1
100.0%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.489491
Minimum37.009068
Maximum38.03064
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-11T06:27:39.000078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.009068
5-th percentile37.107505
Q137.308386
median37.461133
Q337.651565
95-th percentile37.888905
Maximum38.03064
Range1.0215717
Interquartile range (IQR)0.34317864

Descriptive statistics

Standard deviation0.25310544
Coefficient of variation (CV)0.0067513703
Kurtosis-0.46918711
Mean37.489491
Median Absolute Deviation (MAD)0.16871265
Skewness0.24977494
Sum1162.1742
Variance0.064062362
MonotonicityNot monotonic
2023-12-11T06:27:39.114549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
37.83217703 1
 
3.2%
37.65642789 1
 
3.2%
37.20306863 1
 
3.2%
37.54170363 1
 
3.2%
37.8738067 1
 
3.2%
37.06578489 1
 
3.2%
37.75682252 1
 
3.2%
37.28282076 1
 
3.2%
37.73621369 1
 
3.2%
37.39135785 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
37.00906807 1
3.2%
37.06578489 1
3.2%
37.1492261 1
3.2%
37.20306863 1
3.2%
37.27501427 1
3.2%
37.28282076 1
3.2%
37.29242035 1
3.2%
37.29964728 1
3.2%
37.31712489 1
3.2%
37.34734757 1
3.2%
ValueCountFrequency (%)
38.03063979 1
3.2%
37.90400267 1
3.2%
37.8738067 1
3.2%
37.83217703 1
3.2%
37.82167021 1
3.2%
37.75682252 1
3.2%
37.73621369 1
3.2%
37.65642789 1
3.2%
37.64670155 1
3.2%
37.61024594 1
3.2%

WGS84경도
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.07256
Minimum126.62017
Maximum127.63628
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-11T06:27:39.245993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.62017
5-th percentile126.7644
Q1126.93497
median127.05338
Q3127.16476
95-th percentile127.50717
Maximum127.63628
Range1.0161136
Interquartile range (IQR)0.2297862

Descriptive statistics

Standard deviation0.23295661
Coefficient of variation (CV)0.0018332567
Kurtosis0.39014708
Mean127.07256
Median Absolute Deviation (MAD)0.1185759
Skewness0.56142002
Sum3939.2492
Variance0.054268782
MonotonicityNot monotonic
2023-12-11T06:27:39.364770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
127.5087731 1
 
3.2%
126.8382753 1
 
3.2%
127.0328218 1
 
3.2%
127.2157831 1
 
3.2%
127.1575579 1
 
3.2%
127.0664997 1
 
3.2%
126.7793038 1
 
3.2%
127.4403241 1
 
3.2%
127.0390821 1
 
3.2%
126.9950422 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
126.6201657 1
3.2%
126.7494895 1
3.2%
126.7793038 1
3.2%
126.7885292 1
3.2%
126.8382753 1
3.2%
126.8500757 1
3.2%
126.8709705 1
3.2%
126.9186632 1
3.2%
126.9512805 1
3.2%
126.9926959 1
3.2%
ValueCountFrequency (%)
127.6362793 1
3.2%
127.5087731 1
3.2%
127.505566 1
3.2%
127.4403241 1
3.2%
127.2748343 1
3.2%
127.2553571 1
3.2%
127.2157831 1
3.2%
127.1719582 1
3.2%
127.1575579 1
3.2%
127.1312694 1
3.2%

Interactions

2023-12-11T06:27:35.629066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:35.213728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:35.414558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:35.695213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:35.272757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:35.486795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:35.774341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:35.342212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:35.559941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:27:39.442271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명기관명기관전화번호소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
시군명1.0001.0001.0001.0001.0001.0001.0001.000
기관명1.0001.0001.0001.0001.0001.0001.0001.000
기관전화번호1.0001.0001.0001.0001.0001.0001.0001.000
소재지우편번호1.0001.0001.0001.0001.0001.0000.9090.731
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.000
WGS84위도1.0001.0001.0000.9091.0001.0001.0000.434
WGS84경도1.0001.0001.0000.7311.0001.0000.4341.000
2023-12-11T06:27:39.540155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도
소재지우편번호1.000-0.9050.058
WGS84위도-0.9051.000-0.059
WGS84경도0.058-0.0591.000

Missing values

2023-12-11T06:27:35.892109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:27:36.000351image/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

시군명기관명기관전화번호소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
0가평군가평군 가족센터031-582-990212414경기도 가평군 가평읍 읍내리 608-5번지 가평군2청사경기도 가평군 가평읍 석봉로191번길 1037.832177127.508773
1고양시고양시 건강가정지원센터031-969-404110226경기도 고양시 일산서구 대화동 2321번지 일산서구청 2층경기도 고양시 일산서구 중앙로 160037.656428126.838275
2과천시과천시 가족센터02-503-007013801경기도 과천시 관문동 107-5번지경기도 과천시 관악산길 5837.436083126.992696
3광명시광명시 가족센터02-6265-136614241경기도 광명시 철산동 379번지경기도 광명시 디지털로 3437.473364126.87097
4광주시광주시 가족센터031-798-714112744경기도 광주시 송정동 115-4번지경기도 광주시 통미로52번길 1937.416791127.255357
5구리시구리시 가족센터031-556-387311954경기도 구리시 교문동 390번지경기도 구리시 아차산로 45337.601545127.131269
6군포시군포시 가족센터031-392-181115823경기도 군포시 산본동 1151-10번지경기도 군포시 수리산로 11237.359152126.918663
7김포시김포시 가족센터031-996-592010071경기도 김포시 구래동 6872-2번지 한가람 2차아파트 內경기도 김포시 김포한강4로 564 (구래동, 한가람 2차 아파트 內)37.646702126.620166
8남양주시남양주시 가족센터031-553-821112284경기도 남양주시 다산동 3159-7번지경기도 남양주시 경춘로 52237.610246127.171958
9동두천시동두천시 가족센터031-863-380111330경기도 동두천시 생연동 665-2번지경기도 동두천시 중앙로 24937.904003127.053382
시군명기관명기관전화번호소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
21오산시오산시 가족센터031-372-133518135경기도 오산시 오산동 871-1번지경기도 오산시 성호대로 8337.149226127.070573
22용인시용인시 가족센터031-323-713116942경기도 용인시 수지구 상현동 1129-2번지경기도 용인시 수지구 법조로 23037.299647127.074244
23의왕시의왕시 가족센터031-429-893116007경기도 의왕시 청계동 983번지경기도 의왕시 덕장로 1937.391358126.995042
24의정부시의정부시 가족센터031-878-711711649경기도 의정부시 의정부동 515번지경기도 의정부시 둔야로5번길 6737.736214127.039082
25이천시이천YMCA031-631-226017375경기도 이천시 중리동 187번지경기도 이천시 남천로 3137.282821127.440324
26파주시파주시 가족센터031-949-916410923경기도 파주시 금촌동 782-4번지경기도 파주시 중앙로 22937.756823126.779304
27평택시평택시 가족센터031-615-395917730경기도 평택시 서정동 산12번지경기도 평택시 서정로 29537.065785127.0665
28포천시포천시 가족센터031-532-206211160경기도 포천시 동교동 198-1번지경기도 포천시 해룡로 12037.873807127.157558
29하남시하남시 가족센터031-793-299312947경기도 하남시 신장동 521-5번지경기도 하남시 덕풍천서로 937.541704127.215783
30화성시화성시 가족센터031-223-033318372경기도 화성시 병점동 734번지경기도 화성시 태안로 14537.203069127.032822