Overview

Dataset statistics

Number of variables6
Number of observations348
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.8 KiB
Average record size in memory49.4 B

Variable types

Numeric1
Categorical1
Text4

Dataset

Description한국건강가정진흥원 공동육아나눔터 기관현황입니다.파일데이터 구성항목은 연번, 시도 , 시군구, 운영기관, 주소, 공동육아나눔터 연락처입니다.
Author한국건강가정진흥원
URLhttps://www.data.go.kr/data/15055830/fileData.do

Alerts

연번 is highly overall correlated with 시도High correlation
시도 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:14:44.007325
Analysis finished2023-12-12 20:14:44.822587
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct348
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean174.5
Minimum1
Maximum348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2023-12-13T05:14:44.898072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18.35
Q187.75
median174.5
Q3261.25
95-th percentile330.65
Maximum348
Range347
Interquartile range (IQR)173.5

Descriptive statistics

Standard deviation100.60318
Coefficient of variation (CV)0.57652253
Kurtosis-1.2
Mean174.5
Median Absolute Deviation (MAD)87
Skewness0
Sum60726
Variance10121
MonotonicityStrictly increasing
2023-12-13T05:14:45.115563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
231 1
 
0.3%
239 1
 
0.3%
238 1
 
0.3%
237 1
 
0.3%
236 1
 
0.3%
235 1
 
0.3%
234 1
 
0.3%
233 1
 
0.3%
232 1
 
0.3%
Other values (338) 338
97.1%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
348 1
0.3%
347 1
0.3%
346 1
0.3%
345 1
0.3%
344 1
0.3%
343 1
0.3%
342 1
0.3%
341 1
0.3%
340 1
0.3%
339 1
0.3%

시도
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
경기
46 
경북
36 
서울
35 
충남
31 
전남
26 
Other values (12)
174 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기 46
13.2%
경북 36
10.3%
서울 35
10.1%
충남 31
8.9%
전남 26
 
7.5%
경남 26
 
7.5%
인천 22
 
6.3%
전북 21
 
6.0%
강원 19
 
5.5%
충북 17
 
4.9%
Other values (7) 69
19.8%

Length

2023-12-13T05:14:45.338406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기 46
13.2%
경북 36
10.3%
서울 35
10.1%
충남 31
8.9%
전남 26
 
7.5%
경남 26
 
7.5%
인천 22
 
6.3%
전북 21
 
6.0%
강원 19
 
5.5%
충북 17
 
4.9%
Other values (7) 69
19.8%

시군구
Text

Distinct163
Distinct (%)46.8%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-13T05:14:45.842621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.0833333
Min length2

Characters and Unicode

Total characters1073
Distinct characters113
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

Unique76 ?
Unique (%)21.8%

Sample

1st row강남구
2nd row강동구
3rd row강북구
4th row강북구
5th row강북구
ValueCountFrequency (%)
세종시 15
 
4.3%
광양시 10
 
2.9%
시흥시 8
 
2.3%
경주시 8
 
2.3%
당진시 7
 
2.0%
천안시 7
 
2.0%
화성시 7
 
2.0%
충주시 6
 
1.7%
중구 6
 
1.7%
구미시 5
 
1.4%
Other values (153) 269
77.3%
2023-12-13T05:14:46.494858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 196
18.3%
구 120
 
11.2%
군 63
 
5.9%
주 57
 
5.3%
성 31
 
2.9%
양 26
 
2.4%
남 25
 
2.3%
산 24
 
2.2%
광 23
 
2.1%
동 22
 
2.1%
Other values (103) 486
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1072
99.9%
Space Separator 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 196
18.3%
구 120
 
11.2%
군 63
 
5.9%
주 57
 
5.3%
성 31
 
2.9%
양 26
 
2.4%
남 25
 
2.3%
산 24
 
2.2%
광 23
 
2.1%
동 22
 
2.1%
Other values (102) 485
45.2%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1072
99.9%
Common 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 196
18.3%
구 120
 
11.2%
군 63
 
5.9%
주 57
 
5.3%
성 31
 
2.9%
양 26
 
2.4%
남 25
 
2.3%
산 24
 
2.2%
광 23
 
2.1%
동 22
 
2.1%
Other values (102) 485
45.2%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1072
99.9%
ASCII 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 196
18.3%
구 120
 
11.2%
군 63
 
5.9%
주 57
 
5.3%
성 31
 
2.9%
양 26
 
2.4%
남 25
 
2.3%
산 24
 
2.2%
광 23
 
2.1%
동 22
 
2.1%
Other values (102) 485
45.2%
ASCII
ValueCountFrequency (%)
1
100.0%

운영기관
Text

Distinct166
Distinct (%)47.7%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-13T05:14:46.842785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length7
Mean length7.5114943
Min length4

Characters and Unicode

Total characters2614
Distinct characters120
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

Unique79 ?
Unique (%)22.7%

Sample

1st row강남구가족센터
2nd row강동구가족센터
3rd row강북구가족센터
4th row강북구가족센터
5th row강북구가족센터
ValueCountFrequency (%)
세종시가족센터 15
 
4.3%
광양시가족센터 10
 
2.9%
시흥시가족센터 8
 
2.3%
경주시가족센터 8
 
2.3%
당진시건강가정지원센터 7
 
2.0%
화성시가족센터 7
 
2.0%
천안시건강가정지원센터 7
 
2.0%
충주시가족센터 6
 
1.7%
사하구가족센터 5
 
1.4%
남원시가족센터 5
 
1.4%
Other values (157) 271
77.7%
2023-12-13T05:14:47.299984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
가 342
13.1%
센 342
13.1%
터 342
13.1%
족 311
11.9%
시 196
 
7.5%
구 116
 
4.4%
군 63
 
2.4%
주 57
 
2.2%
원 47
 
1.8%
강 41
 
1.6%
Other values (110) 757
29.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2613
> 99.9%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 342
13.1%
센 342
13.1%
터 342
13.1%
족 311
11.9%
시 196
 
7.5%
구 116
 
4.4%
군 63
 
2.4%
주 57
 
2.2%
원 47
 
1.8%
강 41
 
1.6%
Other values (109) 756
28.9%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2613
> 99.9%
Common 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 342
13.1%
센 342
13.1%
터 342
13.1%
족 311
11.9%
시 196
 
7.5%
구 116
 
4.4%
군 63
 
2.4%
주 57
 
2.2%
원 47
 
1.8%
강 41
 
1.6%
Other values (109) 756
28.9%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2613
> 99.9%
ASCII 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
가 342
13.1%
센 342
13.1%
터 342
13.1%
족 311
11.9%
시 196
 
7.5%
구 116
 
4.4%
군 63
 
2.4%
주 57
 
2.2%
원 47
 
1.8%
강 41
 
1.6%
Other values (109) 756
28.9%
ASCII
ValueCountFrequency (%)
1
100.0%

주소
Text

Distinct347
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-13T05:14:47.590611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length39
Mean length29.931034
Min length14

Characters and Unicode

Total characters10416
Distinct characters387
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique346 ?
Unique (%)99.4%

Sample

1st row서울특별시 강남구 개포로 617-8
2nd row서울특별시 강동구 양재대로 138길 41, 강동구가족센터 2층
3rd row서울특별시 강북구 한천로 129길 6, 강북구가족센터 1층
4th row서울특별시 강북구 수유로 12길 63 삼성쉐르빌 101동 2층
5th row서울특별시 강북구 인수봉로 78길 24, 1층
ValueCountFrequency (%)
2층 79
 
3.7%
1층 63
 
2.9%
경기도 46
 
2.1%
서울특별시 34
 
1.6%
경상북도 33
 
1.5%
충청남도 31
 
1.4%
경상남도 26
 
1.2%
3층 26
 
1.2%
전라남도 25
 
1.2%
인천광역시 22
 
1.0%
Other values (1230) 1775
82.2%
2023-12-13T05:14:48.037976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1840
 
17.7%
1 377
 
3.6%
시 359
 
3.4%
로 273
 
2.6%
2 266
 
2.6%
도 256
 
2.5%
층 229
 
2.2%
동 203
 
1.9%
3 187
 
1.8%
구 183
 
1.8%
Other values (377) 6243
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6717
64.5%
Space Separator 1840
 
17.7%
Decimal Number 1515
 
14.5%
Other Punctuation 142
 
1.4%
Dash Punctuation 64
 
0.6%
Uppercase Letter 46
 
0.4%
Close Punctuation 44
 
0.4%
Open Punctuation 43
 
0.4%
Lowercase Letter 4
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 359
 
5.3%
로 273
 
4.1%
도 256
 
3.8%
층 229
 
3.4%
동 203
 
3.0%
구 183
 
2.7%
길 153
 
2.3%
남 135
 
2.0%
경 130
 
1.9%
북 114
 
1.7%
Other values (341) 4682
69.7%
Uppercase Letter
ValueCountFrequency (%)
L 15
32.6%
H 13
28.3%
B 6
 
13.0%
A 4
 
8.7%
G 1
 
2.2%
I 1
 
2.2%
Y 1
 
2.2%
F 1
 
2.2%
P 1
 
2.2%
K 1
 
2.2%
Other values (2) 2
 
4.3%
Decimal Number
ValueCountFrequency (%)
1 377
24.9%
2 266
17.6%
3 187
12.3%
4 145
 
9.6%
0 118
 
7.8%
5 114
 
7.5%
7 92
 
6.1%
6 90
 
5.9%
8 66
 
4.4%
9 60
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 129
90.8%
. 6
 
4.2%
@ 3
 
2.1%
/ 2
 
1.4%
& 1
 
0.7%
· 1
 
0.7%
Lowercase Letter
ValueCountFrequency (%)
c 2
50.0%
k 1
25.0%
e 1
25.0%
Space Separator
ValueCountFrequency (%)
1840
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6717
64.5%
Common 3649
35.0%
Latin 50
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 359
 
5.3%
로 273
 
4.1%
도 256
 
3.8%
층 229
 
3.4%
동 203
 
3.0%
구 183
 
2.7%
길 153
 
2.3%
남 135
 
2.0%
경 130
 
1.9%
북 114
 
1.7%
Other values (341) 4682
69.7%
Common
ValueCountFrequency (%)
1840
50.4%
1 377
 
10.3%
2 266
 
7.3%
3 187
 
5.1%
4 145
 
4.0%
, 129
 
3.5%
0 118
 
3.2%
5 114
 
3.1%
7 92
 
2.5%
6 90
 
2.5%
Other values (11) 291
 
8.0%
Latin
ValueCountFrequency (%)
L 15
30.0%
H 13
26.0%
B 6
 
12.0%
A 4
 
8.0%
c 2
 
4.0%
G 1
 
2.0%
I 1
 
2.0%
k 1
 
2.0%
Y 1
 
2.0%
e 1
 
2.0%
Other values (5) 5
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6717
64.5%
ASCII 3698
35.5%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1840
49.8%
1 377
 
10.2%
2 266
 
7.2%
3 187
 
5.1%
4 145
 
3.9%
, 129
 
3.5%
0 118
 
3.2%
5 114
 
3.1%
7 92
 
2.5%
6 90
 
2.4%
Other values (25) 340
 
9.2%
Hangul
ValueCountFrequency (%)
시 359
 
5.3%
로 273
 
4.1%
도 256
 
3.8%
층 229
 
3.4%
동 203
 
3.0%
구 183
 
2.7%
길 153
 
2.3%
남 135
 
2.0%
경 130
 
1.9%
북 114
 
1.7%
Other values (341) 4682
69.7%
None
ValueCountFrequency (%)
· 1
100.0%

공동육아나눔터연락처
Text

Distinct333
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-13T05:14:48.265374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.123563
Min length10

Characters and Unicode

Total characters4219
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique322 ?
Unique (%)92.5%

Sample

1st row070-7458-2249
2nd row02-481-0813
3rd row070-7462-1984
4th row02-6956-2568
5th row070-7404-2566
ValueCountFrequency (%)
031-317-4524 5
 
1.4%
02-995-6800 3
 
0.9%
070-7733-8307 2
 
0.6%
044-867-9464 2
 
0.6%
053-795-4300 2
 
0.6%
031-886-0321 2
 
0.6%
054-439-7742 2
 
0.6%
044-862-9480 2
 
0.6%
070-4457-5255 2
 
0.6%
063-534-8827 2
 
0.6%
Other values (324) 325
93.1%
2023-12-13T05:14:48.652445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 691
16.4%
0 621
14.7%
3 443
10.5%
5 403
9.6%
2 361
8.6%
4 354
8.4%
7 317
7.5%
6 291
6.9%
1 289
6.8%
9 223
 
5.3%
Other values (4) 226
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3521
83.5%
Dash Punctuation 691
 
16.4%
Close Punctuation 5
 
0.1%
Open Punctuation 1
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 621
17.6%
3 443
12.6%
5 403
11.4%
2 361
10.3%
4 354
10.1%
7 317
9.0%
6 291
8.3%
1 289
8.2%
9 223
 
6.3%
8 219
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 691
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4219
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 691
16.4%
0 621
14.7%
3 443
10.5%
5 403
9.6%
2 361
8.6%
4 354
8.4%
7 317
7.5%
6 291
6.9%
1 289
6.8%
9 223
 
5.3%
Other values (4) 226
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4219
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 691
16.4%
0 621
14.7%
3 443
10.5%
5 403
9.6%
2 361
8.6%
4 354
8.4%
7 317
7.5%
6 291
6.9%
1 289
6.8%
9 223
 
5.3%
Other values (4) 226
 
5.4%

Interactions

2023-12-13T05:14:44.489683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:14:48.768626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시도
연번1.0000.971
시도0.9711.000
2023-12-13T05:14:48.848858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시도
연번1.0000.857
시도0.8571.000

Missing values

2023-12-13T05:14:44.662242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:14:44.769944image/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

연번시도시군구운영기관주소공동육아나눔터연락처
01서울강남구강남구가족센터서울특별시 강남구 개포로 617-8070-7458-2249
12서울강동구강동구가족센터서울특별시 강동구 양재대로 138길 41, 강동구가족센터 2층02-481-0813
23서울강북구강북구가족센터서울특별시 강북구 한천로 129길 6, 강북구가족센터 1층070-7462-1984
34서울강북구강북구가족센터서울특별시 강북구 수유로 12길 63 삼성쉐르빌 101동 2층02-6956-2568
45서울강북구강북구가족센터서울특별시 강북구 인수봉로 78길 24, 1층070-7404-2566
56서울강서구강서구가족센터서울특별시 강서구 강서로5길 50 곰달래문화복지센터 4층02-2606-2017
67서울관악구관악구가족센터서울특별시 관악구 낙성대로 4가길 5, 4층(제2센터/낙성대동주민센터)02-883-9390
78서울관악구관악구가족센터서울특별시 관악구 신림로 3길 35, 남파김삼준문화복지기념관 3층(신림동)02-883-9383
89서울구로구구로구가족센터서울특별시 구로구 우마 2길 35 구로구 통합센터 3층070-4066-5094
910서울구로구구로구가족센터서울특별시 구로구 경인로 20가길 68 오류동 행복주택070-4066-0486
연번시도시군구운영기관주소공동육아나눔터연락처
338339경남창원시창원시가족센터경상남도 창원시 성산구 대정로20번길 11, 4층(가음동, 여성회관 창원관)055-225-3959
339340경남창원시마산창원시마산가족센터경상남도 창원시 마산합포구 3-15대로 121 반월민원센터 2층055-716-8745
340341경남통영시통영시가족센터경상남도 통영시 안개4길 94 통영시종합사회복지관 3층055-640-7754
341342경남하동군하동군가족센터경상남도 하동군 하동읍 중앙3길 12-9 1970관 1층055-880-6527
342343경남하동군하동군가족센터경상남도 하동군 금성면 신도길 165-24 금성면종합복지관3층070-8994-5455
343344경남함안군함안군가족센터경상남도 함안군 가야읍 말산로 25 함안군여성센터 1층055-585-2382
344345경남함안군함안군가족센터경상남도 함안군 칠원읍 용산1길 28055-586-7536
345346제주서귀포시서귀포시청제주특별자치도 서귀포시 안덕면 서광동로 17 서광동리복지회관 2층 작은도서관064-792-7637
346347제주제주시제주시가족센터제주특별자치도 제주시 중앙로 14길15 제주시가족센터 2층064-725-9020
347348제주제주시제주시가족센터제주특별자치도 제주시 화삼로 110 제주삼화LH3단지 노인정 3층064-725-0525