Overview

Dataset statistics

Number of variables13
Number of observations155
Missing cells188
Missing cells (%)9.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.9 KiB
Average record size in memory111.9 B

Variable types

Categorical3
Text4
DateTime1
Numeric4
Unsupported1

Alerts

집계년도 has constant value ""Constant
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
수용아동정원 is highly imbalanced (57.1%)Imbalance
복지시설전화번호 has 6 (3.9%) missing valuesMissing
수용아동현재원 has 155 (100.0%) missing valuesMissing
소재지우편번호 has 5 (3.2%) missing valuesMissing
소재지도로명주소 has 7 (4.5%) missing valuesMissing
WGS84위도 has 7 (4.5%) missing valuesMissing
WGS84경도 has 7 (4.5%) missing valuesMissing
소재지지번주소 has unique valuesUnique
수용아동현재원 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 13:01:42.439449
Analysis finished2024-04-29 13:01:46.314102
Duration3.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

집계년도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023
155 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023
2nd row2023
3rd row2023
4th row2023
5th row2023

Common Values

ValueCountFrequency (%)
2023 155
100.0%

Length

2024-04-29T22:01:46.373316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T22:01:46.463098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 155
100.0%

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
안산시
33 
안성시
16 
화성시
11 
용인시
10 
성남시
9 
Other values (26)
76 

Length

Max length4
Median length3
Mean length3.0709677
Min length3

Unique

Unique9 ?
Unique (%)5.8%

Sample

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

Common Values

ValueCountFrequency (%)
안산시 33
21.3%
안성시 16
 
10.3%
화성시 11
 
7.1%
용인시 10
 
6.5%
성남시 9
 
5.8%
남양주시 8
 
5.2%
수원시 8
 
5.2%
부천시 7
 
4.5%
광명시 5
 
3.2%
고양시 5
 
3.2%
Other values (21) 43
27.7%

Length

2024-04-29T22:01:46.556776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
안산시 33
21.3%
안성시 16
 
10.3%
화성시 11
 
7.1%
용인시 10
 
6.5%
성남시 9
 
5.8%
남양주시 8
 
5.2%
수원시 8
 
5.2%
부천시 7
 
4.5%
광명시 5
 
3.2%
고양시 5
 
3.2%
Other values (21) 43
27.7%

시설명
Text

Distinct153
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-29T22:01:46.755537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length10
Mean length5.6129032
Min length2

Characters and Unicode

Total characters870
Distinct characters205
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique151 ?
Unique (%)97.4%

Sample

1st row행복이가득한집
2nd row썸머힐
3rd row사랑이가득한집
4th row사랑공동체사랑의집
5th row앤하우스 그룹홈
ValueCountFrequency (%)
그룹홈 13
 
6.7%
집 11
 
5.7%
풀꽃세상 3
 
1.5%
이레 2
 
1.0%
요셉의집 2
 
1.0%
수산나네 2
 
1.0%
행복한 2
 
1.0%
하희의 2
 
1.0%
사랑의집 2
 
1.0%
안나의집 2
 
1.0%
Other values (152) 153
78.9%
2024-04-29T22:01:47.100343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
집 60
 
6.9%
39
 
4.5%
의 33
 
3.8%
그 25
 
2.9%
홈 25
 
2.9%
우 25
 
2.9%
룹 24
 
2.8%
리 23
 
2.6%
나 16
 
1.8%
가 16
 
1.8%
Other values (195) 584
67.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 817
93.9%
Space Separator 39
 
4.5%
Decimal Number 8
 
0.9%
Uppercase Letter 4
 
0.5%
Close Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
집 60
 
7.3%
의 33
 
4.0%
그 25
 
3.1%
홈 25
 
3.1%
우 25
 
3.1%
룹 24
 
2.9%
리 23
 
2.8%
나 16
 
2.0%
가 16
 
2.0%
사 16
 
2.0%
Other values (185) 554
67.8%
Decimal Number
ValueCountFrequency (%)
2 4
50.0%
3 2
25.0%
4 1
 
12.5%
1 1
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
B 1
25.0%
D 1
25.0%
E 1
25.0%
L 1
25.0%
Space Separator
ValueCountFrequency (%)
39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 817
93.9%
Common 49
 
5.6%
Latin 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
집 60
 
7.3%
의 33
 
4.0%
그 25
 
3.1%
홈 25
 
3.1%
우 25
 
3.1%
룹 24
 
2.9%
리 23
 
2.8%
나 16
 
2.0%
가 16
 
2.0%
사 16
 
2.0%
Other values (185) 554
67.8%
Common
ValueCountFrequency (%)
39
79.6%
2 4
 
8.2%
3 2
 
4.1%
) 2
 
4.1%
4 1
 
2.0%
1 1
 
2.0%
Latin
ValueCountFrequency (%)
B 1
25.0%
D 1
25.0%
E 1
25.0%
L 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 817
93.9%
ASCII 53
 
6.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
집 60
 
7.3%
의 33
 
4.0%
그 25
 
3.1%
홈 25
 
3.1%
우 25
 
3.1%
룹 24
 
2.9%
리 23
 
2.8%
나 16
 
2.0%
가 16
 
2.0%
사 16
 
2.0%
Other values (185) 554
67.8%
ASCII
ValueCountFrequency (%)
39
73.6%
2 4
 
7.5%
3 2
 
3.8%
) 2
 
3.8%
4 1
 
1.9%
B 1
 
1.9%
1 1
 
1.9%
D 1
 
1.9%
E 1
 
1.9%
L 1
 
1.9%

복지시설전화번호
Text

MISSING 

Distinct142
Distinct (%)95.3%
Missing6
Missing (%)3.9%
Memory size1.3 KiB
2024-04-29T22:01:47.323008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.080537
Min length11

Characters and Unicode

Total characters1800
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

Unique137 ?
Unique (%)91.9%

Sample

1st row070-4103-7045
2nd row031-584-2019
3rd row031-584-7041
4th row02-362-1119
5th row070-4064-5677
ValueCountFrequency (%)
031-406-5995 4
 
2.7%
031-417-4105 2
 
1.3%
031-542-1394 2
 
1.3%
031-507-2286 2
 
1.3%
031-408-6317 2
 
1.3%
031-826-1626 1
 
0.7%
031-618-3886 1
 
0.7%
031-832-5464 1
 
0.7%
031-885-1269 1
 
0.7%
031-883-0812 1
 
0.7%
Other values (132) 132
88.6%
2024-04-29T22:01:47.689040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 298
16.6%
0 267
14.8%
3 237
13.2%
1 221
12.3%
2 136
7.6%
7 132
7.3%
4 113
 
6.3%
8 110
 
6.1%
6 105
 
5.8%
5 98
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1502
83.4%
Dash Punctuation 298
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 267
17.8%
3 237
15.8%
1 221
14.7%
2 136
9.1%
7 132
8.8%
4 113
7.5%
8 110
7.3%
6 105
 
7.0%
5 98
 
6.5%
9 83
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 298
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1800
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 298
16.6%
0 267
14.8%
3 237
13.2%
1 221
12.3%
2 136
7.6%
7 132
7.3%
4 113
 
6.3%
8 110
 
6.1%
6 105
 
5.8%
5 98
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 298
16.6%
0 267
14.8%
3 237
13.2%
1 221
12.3%
2 136
7.6%
7 132
7.3%
4 113
 
6.3%
8 110
 
6.1%
6 105
 
5.8%
5 98
 
5.4%

설치연월일
Date

Distinct143
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum1997-04-01 00:00:00
Maximum2023-09-06 00:00:00
2024-04-29T22:01:47.825131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:01:47.950566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

종사자수
Real number (ℝ)

Distinct6
Distinct (%)3.9%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean3.4675325
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-29T22:01:48.049613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8492121
Coefficient of variation (CV)0.24490386
Kurtosis0.9024133
Mean3.4675325
Median Absolute Deviation (MAD)1
Skewness-0.48114206
Sum534
Variance0.72116119
MonotonicityNot monotonic
2024-04-29T22:01:48.159554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 71
45.8%
3 57
36.8%
2 12
 
7.7%
5 9
 
5.8%
1 4
 
2.6%
6 1
 
0.6%
(Missing) 1
 
0.6%
ValueCountFrequency (%)
1 4
 
2.6%
2 12
 
7.7%
3 57
36.8%
4 71
45.8%
5 9
 
5.8%
6 1
 
0.6%
ValueCountFrequency (%)
6 1
 
0.6%
5 9
 
5.8%
4 71
45.8%
3 57
36.8%
2 12
 
7.7%
1 4
 
2.6%

수용아동정원
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
7
125 
6
17 
5
 
9
4
 
3
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row7
2nd row7
3rd row7
4th row4
5th row7

Common Values

ValueCountFrequency (%)
7 125
80.6%
6 17
 
11.0%
5 9
 
5.8%
4 3
 
1.9%
3 1
 
0.6%

Length

2024-04-29T22:01:48.288819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T22:01:48.381851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
7 125
80.6%
6 17
 
11.0%
5 9
 
5.8%
4 3
 
1.9%
3 1
 
0.6%

수용아동현재원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct124
Distinct (%)82.7%
Missing5
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean15018.42
Minimum10021
Maximum18601
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-29T22:01:48.493794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10021
5-th percentile10961.75
Q113155.25
median15272
Q317084.25
95-th percentile18351.75
Maximum18601
Range8580
Interquartile range (IQR)3929

Descriptive statistics

Standard deviation2349.1075
Coefficient of variation (CV)0.15641509
Kurtosis-0.88838036
Mean15018.42
Median Absolute Deviation (MAD)2025.5
Skewness-0.38565353
Sum2252763
Variance5518305.9
MonotonicityNot monotonic
2024-04-29T22:01:48.632895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15856 4
 
2.6%
13162 3
 
1.9%
17548 3
 
1.9%
17544 3
 
1.9%
18601 2
 
1.3%
17079 2
 
1.3%
16996 2
 
1.3%
12662 2
 
1.3%
14699 2
 
1.3%
11614 2
 
1.3%
Other values (114) 125
80.6%
(Missing) 5
 
3.2%
ValueCountFrequency (%)
10021 1
0.6%
10080 2
1.3%
10106 1
0.6%
10261 1
0.6%
10875 1
0.6%
10892 1
0.6%
10910 1
0.6%
11025 1
0.6%
11030 1
0.6%
11120 1
0.6%
ValueCountFrequency (%)
18601 2
1.3%
18419 1
0.6%
18408 1
0.6%
18394 1
0.6%
18376 1
0.6%
18366 1
0.6%
18363 1
0.6%
18338 1
0.6%
18300 1
0.6%
18293 1
0.6%

소재지지번주소
Text

UNIQUE 

Distinct155
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-29T22:01:48.820969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length41
Mean length32.387097
Min length17

Characters and Unicode

Total characters5020
Distinct characters249
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique155 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 설악면 가일리 267번지
2nd row경기도 가평군 청평면 청평리 472번지 세양청마루 105동 102호
3rd row경기도 가평군 설악면 천안리 129-1번지 A동
4th row경기도 구리시 탄중로101번길 36 102동 103호
5th row경기도 남양주시 무궁화로 187번길 8-10 2층
ValueCountFrequency (%)
경기도 155
 
15.0%
안산시 34
 
3.3%
상록구 17
 
1.6%
단원구 16
 
1.6%
안성시 16
 
1.6%
401호 13
 
1.3%
301호 12
 
1.2%
101호 12
 
1.2%
101동 11
 
1.1%
화성시 11
 
1.1%
Other values (447) 734
71.2%
2024-04-29T22:01:49.364830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
877
 
17.5%
1 294
 
5.9%
0 222
 
4.4%
동 194
 
3.9%
기 166
 
3.3%
지 165
 
3.3%
도 162
 
3.2%
시 157
 
3.1%
경 155
 
3.1%
번 153
 
3.0%
Other values (239) 2475
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2829
56.4%
Decimal Number 1203
24.0%
Space Separator 877
 
17.5%
Dash Punctuation 94
 
1.9%
Uppercase Letter 10
 
0.2%
Other Punctuation 4
 
0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 194
 
6.9%
기 166
 
5.9%
지 165
 
5.8%
도 162
 
5.7%
시 157
 
5.5%
경 155
 
5.5%
번 153
 
5.4%
호 114
 
4.0%
구 74
 
2.6%
안 64
 
2.3%
Other values (219) 1425
50.4%
Decimal Number
ValueCountFrequency (%)
1 294
24.4%
0 222
18.5%
2 150
12.5%
3 115
 
9.6%
4 83
 
6.9%
5 83
 
6.9%
6 71
 
5.9%
7 66
 
5.5%
9 61
 
5.1%
8 58
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
A 5
50.0%
B 3
30.0%
N 1
 
10.0%
F 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
. 1
 
25.0%
Space Separator
ValueCountFrequency (%)
877
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2829
56.4%
Common 2181
43.4%
Latin 10
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 194
 
6.9%
기 166
 
5.9%
지 165
 
5.8%
도 162
 
5.7%
시 157
 
5.5%
경 155
 
5.5%
번 153
 
5.4%
호 114
 
4.0%
구 74
 
2.6%
안 64
 
2.3%
Other values (219) 1425
50.4%
Common
ValueCountFrequency (%)
877
40.2%
1 294
 
13.5%
0 222
 
10.2%
2 150
 
6.9%
3 115
 
5.3%
- 94
 
4.3%
4 83
 
3.8%
5 83
 
3.8%
6 71
 
3.3%
7 66
 
3.0%
Other values (6) 126
 
5.8%
Latin
ValueCountFrequency (%)
A 5
50.0%
B 3
30.0%
N 1
 
10.0%
F 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2829
56.4%
ASCII 2191
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
877
40.0%
1 294
 
13.4%
0 222
 
10.1%
2 150
 
6.8%
3 115
 
5.2%
- 94
 
4.3%
4 83
 
3.8%
5 83
 
3.8%
6 71
 
3.2%
7 66
 
3.0%
Other values (10) 136
 
6.2%
Hangul
ValueCountFrequency (%)
동 194
 
6.9%
기 166
 
5.9%
지 165
 
5.8%
도 162
 
5.7%
시 157
 
5.5%
경 155
 
5.5%
번 153
 
5.4%
호 114
 
4.0%
구 74
 
2.6%
안 64
 
2.3%
Other values (219) 1425
50.4%

소재지도로명주소
Text

MISSING 

Distinct135
Distinct (%)91.2%
Missing7
Missing (%)4.5%
Memory size1.3 KiB
2024-04-29T22:01:49.668660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length20.168919
Min length14

Characters and Unicode

Total characters2985
Distinct characters176
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

Unique123 ?
Unique (%)83.1%

Sample

1st row경기도 가평군 설악면 유명산길 64
2nd row경기도 가평군 청평면 경춘로 807-45
3rd row경기도 가평군 설악면 유명로 1090-9
4th row경기도 고양시 일산동구 공릉천로 68
5th row경기도 과천시 부림3길 6-14
ValueCountFrequency (%)
경기도 148
 
21.1%
안산시 33
 
4.7%
상록구 17
 
2.4%
단원구 16
 
2.3%
안성시 16
 
2.3%
화성시 11
 
1.6%
용인시 10
 
1.4%
성남시 8
 
1.1%
수원시 8
 
1.1%
중원구 8
 
1.1%
Other values (296) 427
60.8%
2024-04-29T22:01:50.103414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
554
18.6%
도 161
 
5.4%
기 156
 
5.2%
경 150
 
5.0%
시 148
 
5.0%
1 131
 
4.4%
로 122
 
4.1%
길 86
 
2.9%
구 69
 
2.3%
안 63
 
2.1%
Other values (166) 1345
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1856
62.2%
Space Separator 554
 
18.6%
Decimal Number 525
 
17.6%
Dash Punctuation 50
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 161
 
8.7%
기 156
 
8.4%
경 150
 
8.1%
시 148
 
8.0%
로 122
 
6.6%
길 86
 
4.6%
구 69
 
3.7%
안 63
 
3.4%
성 44
 
2.4%
산 43
 
2.3%
Other values (154) 814
43.9%
Decimal Number
ValueCountFrequency (%)
1 131
25.0%
3 62
11.8%
4 61
11.6%
2 57
10.9%
6 49
 
9.3%
5 41
 
7.8%
0 37
 
7.0%
7 32
 
6.1%
9 29
 
5.5%
8 26
 
5.0%
Space Separator
ValueCountFrequency (%)
554
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1856
62.2%
Common 1129
37.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 161
 
8.7%
기 156
 
8.4%
경 150
 
8.1%
시 148
 
8.0%
로 122
 
6.6%
길 86
 
4.6%
구 69
 
3.7%
안 63
 
3.4%
성 44
 
2.4%
산 43
 
2.3%
Other values (154) 814
43.9%
Common
ValueCountFrequency (%)
554
49.1%
1 131
 
11.6%
3 62
 
5.5%
4 61
 
5.4%
2 57
 
5.0%
- 50
 
4.4%
6 49
 
4.3%
5 41
 
3.6%
0 37
 
3.3%
7 32
 
2.8%
Other values (2) 55
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1856
62.2%
ASCII 1129
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
554
49.1%
1 131
 
11.6%
3 62
 
5.5%
4 61
 
5.4%
2 57
 
5.0%
- 50
 
4.4%
6 49
 
4.3%
5 41
 
3.6%
0 37
 
3.3%
7 32
 
2.8%
Other values (2) 55
 
4.9%
Hangul
ValueCountFrequency (%)
도 161
 
8.7%
기 156
 
8.4%
경 150
 
8.1%
시 148
 
8.0%
로 122
 
6.6%
길 86
 
4.6%
구 69
 
3.7%
안 63
 
3.4%
성 44
 
2.4%
산 43
 
2.3%
Other values (154) 814
43.9%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct140
Distinct (%)94.6%
Missing7
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean37.366866
Minimum36.98115
Maximum38.03176
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-29T22:01:50.252979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.98115
5-th percentile37.011736
Q137.231405
median37.336506
Q337.477142
95-th percentile37.751217
Maximum38.03176
Range1.0506096
Interquartile range (IQR)0.24573728

Descriptive statistics

Standard deviation0.22274766
Coefficient of variation (CV)0.005961101
Kurtosis0.08072433
Mean37.366866
Median Absolute Deviation (MAD)0.11974344
Skewness0.53736498
Sum5530.2962
Variance0.049616521
MonotonicityNot monotonic
2024-04-29T22:01:50.394551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3505745724 2
 
1.3%
37.2828178198 2
 
1.3%
37.0288030568 2
 
1.3%
37.7567984895 2
 
1.3%
37.3467356595 2
 
1.3%
37.2590245668 2
 
1.3%
37.4697147512 2
 
1.3%
37.471820662 2
 
1.3%
37.2313613398 1
 
0.6%
37.0152030479 1
 
0.6%
Other values (130) 130
83.9%
(Missing) 7
 
4.5%
ValueCountFrequency (%)
36.9811501818 1
0.6%
36.998493278 1
0.6%
36.9987203541 1
0.6%
36.9995688035 1
0.6%
37.0016731006 1
0.6%
37.0038381441 1
0.6%
37.010893796 1
0.6%
37.011104421 1
0.6%
37.0129075286 1
0.6%
37.0132966635 1
0.6%
ValueCountFrequency (%)
38.0317597915 1
0.6%
37.9540282843 1
0.6%
37.8927026892 1
0.6%
37.8618888757 1
0.6%
37.8618518953 1
0.6%
37.78230382 1
0.6%
37.7567984895 2
1.3%
37.7408527591 1
0.6%
37.7279413358 1
0.6%
37.7267268869 1
0.6%

WGS84경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct140
Distinct (%)94.6%
Missing7
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean127.03496
Minimum126.55649
Maximum127.70478
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-29T22:01:50.566392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.55649
5-th percentile126.78321
Q1126.85431
median127.01231
Q3127.19123
95-th percentile127.42626
Maximum127.70478
Range1.148299
Interquartile range (IQR)0.3369167

Descriptive statistics

Standard deviation0.21531094
Coefficient of variation (CV)0.0016948952
Kurtosis0.0041199486
Mean127.03496
Median Absolute Deviation (MAD)0.16534569
Skewness0.54921942
Sum18801.174
Variance0.0463588
MonotonicityNot monotonic
2024-04-29T22:01:50.705549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9475436836 2
 
1.3%
126.8565864782 2
 
1.3%
127.2247213333 2
 
1.3%
127.0318704949 2
 
1.3%
126.9458218137 2
 
1.3%
127.1433883908 2
 
1.3%
126.8561753659 2
 
1.3%
126.8572316628 2
 
1.3%
127.0604806808 1
 
0.6%
127.2591122136 1
 
0.6%
Other values (130) 130
83.9%
(Missing) 7
 
4.5%
ValueCountFrequency (%)
126.5564856192 1
0.6%
126.6680910484 1
0.6%
126.672073111 1
0.6%
126.7030252663 1
0.6%
126.7193608541 1
0.6%
126.7401695628 1
0.6%
126.7718337337 1
0.6%
126.7820845174 1
0.6%
126.7853044205 1
0.6%
126.7875279192 1
0.6%
ValueCountFrequency (%)
127.704784592 1
0.6%
127.6431226307 1
0.6%
127.5465549326 1
0.6%
127.5447109501 1
0.6%
127.4945437848 1
0.6%
127.4908129416 1
0.6%
127.4821263076 1
0.6%
127.4315422657 1
0.6%
127.4164410147 1
0.6%
127.3352889628 1
0.6%

Interactions

2024-04-29T22:01:45.583063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:01:44.583138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:01:44.983045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:01:45.290016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:01:45.664349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:01:44.743104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:01:45.053960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:01:45.365681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:01:45.735467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:01:44.826433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:01:45.123563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:01:45.434455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:01:45.818775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:01:44.904243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:01:45.208588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:01:45.507606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-29T22:01:50.794496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명종사자수수용아동정원소재지우편번호WGS84위도WGS84경도
시군명1.0000.7220.7100.9980.9800.964
종사자수0.7221.0000.2390.5600.3760.316
수용아동정원0.7100.2391.0000.5700.4510.223
소재지우편번호0.9980.5600.5701.0000.9290.879
WGS84위도0.9800.3760.4510.9291.0000.652
WGS84경도0.9640.3160.2230.8790.6521.000
2024-04-29T22:01:50.890015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수용아동정원시군명
수용아동정원1.0000.389
시군명0.3891.000
2024-04-29T22:01:50.984795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종사자수소재지우편번호WGS84위도WGS84경도시군명수용아동정원
종사자수1.000-0.0780.0140.1660.3790.163
소재지우편번호-0.0781.000-0.9110.1500.9110.247
WGS84위도0.014-0.9111.000-0.2550.7200.199
WGS84경도0.1660.150-0.2551.0000.6590.090
시군명0.3790.9110.7200.6591.0000.389
수용아동정원0.1630.2470.1990.0900.3891.000

Missing values

2024-04-29T22:01:45.936200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-29T22:01:46.108925image/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.
2024-04-29T22:01:46.243381image/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

집계년도시군명시설명복지시설전화번호설치연월일종사자수수용아동정원수용아동현재원소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
02023가평군행복이가득한집070-4103-70452011-11-0447<NA>12473경기도 가평군 설악면 가일리 267번지경기도 가평군 설악면 유명산길 6437.596622127.490813
12023가평군썸머힐031-584-20192019-04-2937<NA>12451경기도 가평군 청평면 청평리 472번지 세양청마루 105동 102호경기도 가평군 청평면 경춘로 807-4537.740853127.416441
22023가평군사랑이가득한집031-584-70412020-06-1047<NA>12469경기도 가평군 설악면 천안리 129-1번지 A동경기도 가평군 설악면 유명로 1090-937.635524127.482126
32023고양시사랑공동체사랑의집02-362-11192018-01-1044<NA><NA>경기도 구리시 탄중로101번길 36 102동 103호<NA><NA><NA>
42023고양시앤하우스 그룹홈<NA>2017-08-2247<NA><NA>경기도 남양주시 무궁화로 187번길 8-10 2층<NA><NA><NA>
52023고양시일산별사랑그룹홈070-4064-56772016-02-1544<NA><NA>경기도 파주시 일산로372번길 58-29 2층<NA><NA><NA>
62023고양시햇살고운집031-967-88112007-05-1845<NA><NA>경기도 양주시 보광로222-15<NA><NA><NA>
72023고양시비전공동체 우리집070-4078-70042020-06-3023<NA>10261경기도 고양시 일산동구 사리현동 186번지 동문아파트 101동 103호경기도 고양시 일산동구 공릉천로 6837.699187126.846437
82023과천시성베드로의집02-503-83842010-03-1647<NA>13830경기도 과천시 부림동 31-6번지 1층, 3층경기도 과천시 부림3길 6-1437.438295126.997847
92023광명시사랑둥지02-2615-25452007-06-0147<NA>14277경기도 광명시 광명동 713번지 중앙하이츠아파트 201동 602호경기도 광명시 덕단이로 11537.471821126.857232
집계년도시군명시설명복지시설전화번호설치연월일종사자수수용아동정원수용아동현재원소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
1452023화성시천사의 집031-354-58002019-04-2937<NA>18601경기도 화성시 향남읍 행정리 480번지 향남시범살구꽃마을풍림아이원아파트 1402동 103호경기도 화성시 향남읍 행정동로 6437.129882126.927751
1462023화성시봄볕그룹홈031-223-53832020-06-1536<NA>18408경기도 화성시 병점동 820번지 안화동마을주공아파트 507동 104호경기도 화성시 병점2로 10337.210185127.047835
1472023화성시보람둥지031-898-79072009-05-2847<NA>18300경기도 화성시 봉담읍 동화리 100-1번지 클래식타운아파트 109동 101호경기도 화성시 봉담읍 효행로 24037.225806126.96967
1482023화성시화성의집031-223-36222016-06-2047<NA>18394경기도 화성시 기산동 478번지 에스케이뷰파크3차 106동 101호경기도 화성시 동탄지성로 319-1937.219041127.049067
1492023화성시행복둥지031-222-79072020-03-0347<NA>18366경기도 화성시 안녕동 2번지 병점역성호플레르빌 105동 103호경기도 화성시 한신대길 6737.199973127.025054
1502023화성시파랑새그룹홈031-222-59112018-11-0246<NA>18363경기도 화성시 안녕동 210번지 남산마을청광플러스원 103동 106호경기도 화성시 안녕남로 16-2037.19534126.986277
1512023화성시에덴하우스031-221-98882016-11-2947<NA>18376경기도 화성시 반월동 860번지 신영통현대아파트 308동 404호경기도 화성시 영통로27번길 3537.231361127.060481
1522023화성시화성희망031-221-86222022-05-3137<NA>18338경기도 화성시 기안동 910번지 신일해피트리 105동 104호경기도 화성시 효행로291번길 2637.223671126.977936
1532023화성시무지개홈031-357-56542020-04-0937<NA>18293경기도 화성시 비봉면 청요리 664번지경기도 화성시 비봉면 자청로207번길 3637.20623126.89304
1542023화성시보물섬그룹홈031-225-71962022-05-1336<NA>18419경기도 화성시 병점동 858번지 정든마을신창2차비바패밀리 201동 106호경기도 화성시 병점2로 10237.208955127.046839