Overview

Dataset statistics

Number of variables8
Number of observations390
Missing cells199
Missing cells (%)6.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.6 KiB
Average record size in memory67.3 B

Variable types

Categorical1
Text4
Numeric3

Dataset

Description청소년활동운영기관 현황
Author여성가족부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=3D0FT0FT4PXSJK3ZWPSW21182121&infSeq=1

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
전화번호 has 7 (1.8%) missing valuesMissing
소재지우편번호 has 40 (10.3%) missing valuesMissing
소재지도로명주소 has 68 (17.4%) missing valuesMissing
WGS84위도 has 42 (10.8%) missing valuesMissing
WGS84경도 has 42 (10.8%) missing valuesMissing
기관명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 21:35:44.876180
Analysis finished2023-12-10 21:35:46.819000
Duration1.94 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
수원시
45 
용인시
44 
성남시
24 
화성시
 
22
평택시
 
19
Other values (26)
236 

Length

Max length4
Median length3
Mean length3.0589744
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수원시 45
 
11.5%
용인시 44
 
11.3%
성남시 24
 
6.2%
화성시 22
 
5.6%
평택시 19
 
4.9%
부천시 18
 
4.6%
안산시 18
 
4.6%
고양시 17
 
4.4%
파주시 17
 
4.4%
이천시 16
 
4.1%
Other values (21) 150
38.5%

Length

2023-12-11T06:35:46.907371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 45
 
11.5%
용인시 44
 
11.3%
성남시 24
 
6.2%
화성시 22
 
5.6%
평택시 19
 
4.9%
부천시 18
 
4.6%
안산시 18
 
4.6%
고양시 17
 
4.4%
파주시 17
 
4.4%
이천시 16
 
4.1%
Other values (21) 150
38.5%

기관명
Text

UNIQUE 

Distinct390
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-11T06:35:47.130000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length9.2153846
Min length3

Characters and Unicode

Total characters3594
Distinct characters372
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique390 ?
Unique (%)100.0%

Sample

1st row상천수련원
2nd row쁘띠프랑스청소년수련원
3rd row드림아일랜드청소년수련원
4th row청심국제청소년수련원
5th row(주)사람들
ValueCountFrequency (%)
상천수련원 1
 
0.3%
여주청소년문화의집 1
 
0.3%
용인축산농협우랜드 1
 
0.3%
짚라인용인 1
 
0.3%
교육과학연구원(주 1
 
0.3%
용인시노동복지회관 1
 
0.3%
용인녹색환경연합 1
 
0.3%
용인ymca 1
 
0.3%
수지청소년문화의집 1
 
0.3%
수지사랑의교회 1
 
0.3%
Other values (380) 380
97.4%
2023-12-11T06:35:47.523446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 151
 
4.2%
년 127
 
3.5%
청 124
 
3.5%
원 97
 
2.7%
관 94
 
2.6%
주 75
 
2.1%
수 72
 
2.0%
리 71
 
2.0%
단 70
 
1.9%
의 66
 
1.8%
Other values (362) 2647
73.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3447
95.9%
Uppercase Letter 37
 
1.0%
Decimal Number 37
 
1.0%
Close Punctuation 36
 
1.0%
Open Punctuation 34
 
0.9%
Other Punctuation 2
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 151
 
4.4%
년 127
 
3.7%
청 124
 
3.6%
원 97
 
2.8%
관 94
 
2.7%
주 75
 
2.2%
수 72
 
2.1%
리 71
 
2.1%
단 70
 
2.0%
의 66
 
1.9%
Other values (335) 2500
72.5%
Uppercase Letter
ValueCountFrequency (%)
C 9
24.3%
Y 6
16.2%
A 6
16.2%
M 4
10.8%
S 3
 
8.1%
F 2
 
5.4%
N 2
 
5.4%
T 1
 
2.7%
I 1
 
2.7%
D 1
 
2.7%
Other values (2) 2
 
5.4%
Decimal Number
ValueCountFrequency (%)
2 8
21.6%
1 8
21.6%
3 6
16.2%
6 4
10.8%
5 2
 
5.4%
9 2
 
5.4%
8 2
 
5.4%
4 2
 
5.4%
7 2
 
5.4%
0 1
 
2.7%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
& 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3447
95.9%
Common 110
 
3.1%
Latin 37
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 151
 
4.4%
년 127
 
3.7%
청 124
 
3.6%
원 97
 
2.8%
관 94
 
2.7%
주 75
 
2.2%
수 72
 
2.1%
리 71
 
2.1%
단 70
 
2.0%
의 66
 
1.9%
Other values (335) 2500
72.5%
Common
ValueCountFrequency (%)
) 36
32.7%
( 34
30.9%
2 8
 
7.3%
1 8
 
7.3%
3 6
 
5.5%
6 4
 
3.6%
5 2
 
1.8%
9 2
 
1.8%
8 2
 
1.8%
4 2
 
1.8%
Other values (5) 6
 
5.5%
Latin
ValueCountFrequency (%)
C 9
24.3%
Y 6
16.2%
A 6
16.2%
M 4
10.8%
S 3
 
8.1%
F 2
 
5.4%
N 2
 
5.4%
T 1
 
2.7%
I 1
 
2.7%
D 1
 
2.7%
Other values (2) 2
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3447
95.9%
ASCII 147
 
4.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 151
 
4.4%
년 127
 
3.7%
청 124
 
3.6%
원 97
 
2.8%
관 94
 
2.7%
주 75
 
2.2%
수 72
 
2.1%
리 71
 
2.1%
단 70
 
2.0%
의 66
 
1.9%
Other values (335) 2500
72.5%
ASCII
ValueCountFrequency (%)
) 36
24.5%
( 34
23.1%
C 9
 
6.1%
2 8
 
5.4%
1 8
 
5.4%
Y 6
 
4.1%
3 6
 
4.1%
A 6
 
4.1%
6 4
 
2.7%
M 4
 
2.7%
Other values (17) 26
17.7%

전화번호
Text

MISSING 

Distinct371
Distinct (%)96.9%
Missing7
Missing (%)1.8%
Memory size3.2 KiB
2023-12-11T06:35:47.800510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.075718
Min length9

Characters and Unicode

Total characters4625
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique360 ?
Unique (%)94.0%

Sample

1st row031-581-7030
2nd row031-584-8200
3rd row031-581-7708
4th row031-589-1700
5th row031-584-0275
ValueCountFrequency (%)
031-634-6339 3
 
0.8%
031-651-3113 2
 
0.5%
031-8024-7418 2
 
0.5%
031-634-7000 2
 
0.5%
031-794-7142 2
 
0.5%
031-875-3358 2
 
0.5%
2
 
0.5%
031-675-2171 2
 
0.5%
031-328-9872 2
 
0.5%
031-245-6518 2
 
0.5%
Other values (361) 362
94.5%
2023-12-11T06:35:48.256112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 765
16.5%
0 737
15.9%
3 642
13.9%
1 586
12.7%
2 306
 
6.6%
7 288
 
6.2%
8 277
 
6.0%
5 258
 
5.6%
6 254
 
5.5%
4 246
 
5.3%
Other values (2) 266
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3838
83.0%
Dash Punctuation 765
 
16.5%
Other Punctuation 22
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 737
19.2%
3 642
16.7%
1 586
15.3%
2 306
8.0%
7 288
 
7.5%
8 277
 
7.2%
5 258
 
6.7%
6 254
 
6.6%
4 246
 
6.4%
9 244
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 765
100.0%
Other Punctuation
ValueCountFrequency (%)
* 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4625
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 765
16.5%
0 737
15.9%
3 642
13.9%
1 586
12.7%
2 306
 
6.6%
7 288
 
6.2%
8 277
 
6.0%
5 258
 
5.6%
6 254
 
5.5%
4 246
 
5.3%
Other values (2) 266
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4625
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 765
16.5%
0 737
15.9%
3 642
13.9%
1 586
12.7%
2 306
 
6.6%
7 288
 
6.2%
8 277
 
6.0%
5 258
 
5.6%
6 254
 
5.5%
4 246
 
5.3%
Other values (2) 266
 
5.8%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct305
Distinct (%)87.1%
Missing40
Missing (%)10.3%
Infinite0
Infinite (%)0.0%
Mean14697.223
Minimum10000
Maximum18554
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-11T06:35:48.448195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10000
5-th percentile10321.7
Q112519.75
median14972
Q317039
95-th percentile18280.75
Maximum18554
Range8554
Interquartile range (IQR)4519.25

Descriptive statistics

Standard deviation2553.7325
Coefficient of variation (CV)0.17375612
Kurtosis-1.2353313
Mean14697.223
Median Absolute Deviation (MAD)2195
Skewness-0.26924059
Sum5144028
Variance6521549.4
MonotonicityNot monotonic
2023-12-11T06:35:48.585960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17888 4
 
1.0%
13595 3
 
0.8%
17406 3
 
0.8%
17134 3
 
0.8%
17388 3
 
0.8%
17163 3
 
0.8%
17732 2
 
0.5%
12636 2
 
0.5%
10099 2
 
0.5%
18278 2
 
0.5%
Other values (295) 323
82.8%
(Missing) 40
 
10.3%
ValueCountFrequency (%)
10000 1
0.3%
10009 1
0.3%
10014 1
0.3%
10024 1
0.3%
10046 1
0.3%
10050 1
0.3%
10062 1
0.3%
10099 2
0.5%
10103 1
0.3%
10110 1
0.3%
ValueCountFrequency (%)
18554 2
0.5%
18553 1
0.3%
18548 2
0.5%
18545 1
0.3%
18521 1
0.3%
18460 1
0.3%
18454 1
0.3%
18427 2
0.5%
18382 1
0.3%
18372 1
0.3%

소재지지번주소
Text

Distinct379
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-11T06:35:48.836238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length40.5
Mean length25.212821
Min length15

Characters and Unicode

Total characters9833
Distinct characters342
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique370 ?
Unique (%)94.9%

Sample

1st row경기도 가평군 청평면 상천리 295-7
2nd row경기도 가평군 청평면 고성리 616-2번지
3rd row경기도 가평군 북면 적목리 103-3번지
4th row경기도 가평군 설악면 송산리 595번지
5th row경기도 가평군 청평면 상천리 295-4
ValueCountFrequency (%)
경기도 390
 
18.2%
수원시 45
 
2.1%
용인시 44
 
2.1%
처인구 27
 
1.3%
성남시 24
 
1.1%
화성시 22
 
1.0%
2층 20
 
0.9%
평택시 19
 
0.9%
팔달구 19
 
0.9%
부천시 18
 
0.8%
Other values (974) 1512
70.7%
2023-12-11T06:35:49.320902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1750
 
17.8%
기 413
 
4.2%
시 405
 
4.1%
도 404
 
4.1%
경 401
 
4.1%
1 313
 
3.2%
동 306
 
3.1%
지 243
 
2.5%
- 218
 
2.2%
2 217
 
2.2%
Other values (332) 5163
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6239
63.4%
Space Separator 1750
 
17.8%
Decimal Number 1575
 
16.0%
Dash Punctuation 218
 
2.2%
Uppercase Letter 17
 
0.2%
Open Punctuation 15
 
0.2%
Close Punctuation 15
 
0.2%
Other Punctuation 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 413
 
6.6%
시 405
 
6.5%
도 404
 
6.5%
경 401
 
6.4%
동 306
 
4.9%
지 243
 
3.9%
번 202
 
3.2%
구 171
 
2.7%
리 155
 
2.5%
양 103
 
1.7%
Other values (307) 3436
55.1%
Decimal Number
ValueCountFrequency (%)
1 313
19.9%
2 217
13.8%
3 167
10.6%
5 156
9.9%
4 149
9.5%
0 135
8.6%
6 128
8.1%
7 113
 
7.2%
8 100
 
6.3%
9 97
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
A 3
17.6%
M 3
17.6%
L 2
11.8%
D 2
11.8%
C 2
11.8%
Y 2
11.8%
B 1
 
5.9%
G 1
 
5.9%
S 1
 
5.9%
Space Separator
ValueCountFrequency (%)
1750
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 218
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6238
63.4%
Common 3577
36.4%
Latin 17
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 413
 
6.6%
시 405
 
6.5%
도 404
 
6.5%
경 401
 
6.4%
동 306
 
4.9%
지 243
 
3.9%
번 202
 
3.2%
구 171
 
2.7%
리 155
 
2.5%
양 103
 
1.7%
Other values (306) 3435
55.1%
Common
ValueCountFrequency (%)
1750
48.9%
1 313
 
8.8%
- 218
 
6.1%
2 217
 
6.1%
3 167
 
4.7%
5 156
 
4.4%
4 149
 
4.2%
0 135
 
3.8%
6 128
 
3.6%
7 113
 
3.2%
Other values (6) 231
 
6.5%
Latin
ValueCountFrequency (%)
A 3
17.6%
M 3
17.6%
L 2
11.8%
D 2
11.8%
C 2
11.8%
Y 2
11.8%
B 1
 
5.9%
G 1
 
5.9%
S 1
 
5.9%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6238
63.4%
ASCII 3594
36.6%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1750
48.7%
1 313
 
8.7%
- 218
 
6.1%
2 217
 
6.0%
3 167
 
4.6%
5 156
 
4.3%
4 149
 
4.1%
0 135
 
3.8%
6 128
 
3.6%
7 113
 
3.1%
Other values (15) 248
 
6.9%
Hangul
ValueCountFrequency (%)
기 413
 
6.6%
시 405
 
6.5%
도 404
 
6.5%
경 401
 
6.4%
동 306
 
4.9%
지 243
 
3.9%
번 202
 
3.2%
구 171
 
2.7%
리 155
 
2.5%
양 103
 
1.7%
Other values (306) 3435
55.1%
CJK
ValueCountFrequency (%)
內 1
100.0%

소재지도로명주소
Text

MISSING 

Distinct299
Distinct (%)92.9%
Missing68
Missing (%)17.4%
Memory size3.2 KiB
2023-12-11T06:35:49.555786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length19.847826
Min length13

Characters and Unicode

Total characters6391
Distinct characters240
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

Unique281 ?
Unique (%)87.3%

Sample

1st row경기도 가평군 청평면 경춘로 1401
2nd row경기도 가평군 청평면 호반로 1063
3rd row경기도 가평군 북면 가화로 2901
4th row경기도 가평군 설악면 미사리로 278-64
5th row경기도 가평군 상면 임초밤안골로 153-42
ValueCountFrequency (%)
경기도 322
 
21.2%
수원시 39
 
2.6%
용인시 34
 
2.2%
성남시 20
 
1.3%
처인구 20
 
1.3%
부천시 18
 
1.2%
팔달구 17
 
1.1%
화성시 17
 
1.1%
안산시 16
 
1.1%
평택시 16
 
1.1%
Other values (608) 999
65.8%
2023-12-11T06:35:50.235741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1196
18.7%
경 333
 
5.2%
기 333
 
5.2%
도 326
 
5.1%
시 313
 
4.9%
로 293
 
4.6%
1 241
 
3.8%
2 172
 
2.7%
구 135
 
2.1%
3 135
 
2.1%
Other values (230) 2914
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3965
62.0%
Space Separator 1196
 
18.7%
Decimal Number 1166
 
18.2%
Dash Punctuation 64
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 333
 
8.4%
기 333
 
8.4%
도 326
 
8.2%
시 313
 
7.9%
로 293
 
7.4%
구 135
 
3.4%
길 128
 
3.2%
번 95
 
2.4%
양 79
 
2.0%
면 71
 
1.8%
Other values (218) 1859
46.9%
Decimal Number
ValueCountFrequency (%)
1 241
20.7%
2 172
14.8%
3 135
11.6%
4 104
8.9%
6 104
8.9%
5 96
 
8.2%
0 83
 
7.1%
7 82
 
7.0%
9 75
 
6.4%
8 74
 
6.3%
Space Separator
ValueCountFrequency (%)
1196
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3965
62.0%
Common 2426
38.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 333
 
8.4%
기 333
 
8.4%
도 326
 
8.2%
시 313
 
7.9%
로 293
 
7.4%
구 135
 
3.4%
길 128
 
3.2%
번 95
 
2.4%
양 79
 
2.0%
면 71
 
1.8%
Other values (218) 1859
46.9%
Common
ValueCountFrequency (%)
1196
49.3%
1 241
 
9.9%
2 172
 
7.1%
3 135
 
5.6%
4 104
 
4.3%
6 104
 
4.3%
5 96
 
4.0%
0 83
 
3.4%
7 82
 
3.4%
9 75
 
3.1%
Other values (2) 138
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3965
62.0%
ASCII 2426
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1196
49.3%
1 241
 
9.9%
2 172
 
7.1%
3 135
 
5.6%
4 104
 
4.3%
6 104
 
4.3%
5 96
 
4.0%
0 83
 
3.4%
7 82
 
3.4%
9 75
 
3.1%
Other values (2) 138
 
5.7%
Hangul
ValueCountFrequency (%)
경 333
 
8.4%
기 333
 
8.4%
도 326
 
8.2%
시 313
 
7.9%
로 293
 
7.4%
구 135
 
3.4%
길 128
 
3.2%
번 95
 
2.4%
양 79
 
2.0%
면 71
 
1.8%
Other values (218) 1859
46.9%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct325
Distinct (%)93.4%
Missing42
Missing (%)10.8%
Infinite0
Infinite (%)0.0%
Mean37.407301
Minimum36.957617
Maximum38.105471
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-11T06:35:50.390983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.957617
5-th percentile37.0644
Q137.256389
median37.357132
Q337.544053
95-th percentile37.800514
Maximum38.105471
Range1.1478548
Interquartile range (IQR)0.2876632

Descriptive statistics

Standard deviation0.22906719
Coefficient of variation (CV)0.0061235959
Kurtosis-0.068372891
Mean37.407301
Median Absolute Deviation (MAD)0.12653237
Skewness0.59690276
Sum13017.741
Variance0.05247178
MonotonicityNot monotonic
2023-12-11T06:35:50.571730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.9978850245 4
 
1.0%
37.1522660368 3
 
0.8%
37.2144257942 3
 
0.8%
37.2393798887 3
 
0.8%
37.2051692503 2
 
0.5%
37.429925654 2
 
0.5%
37.2020350255 2
 
0.5%
37.2949279822 2
 
0.5%
37.2836373657 2
 
0.5%
37.2661838839 2
 
0.5%
Other values (315) 323
82.8%
(Missing) 42
 
10.8%
ValueCountFrequency (%)
36.9576165524 1
 
0.3%
36.9629659042 1
 
0.3%
36.9883292637 1
 
0.3%
36.990280603 1
 
0.3%
36.9908938675 1
 
0.3%
36.9911546133 1
 
0.3%
36.9920854519 1
 
0.3%
36.9978850245 4
1.0%
37.0120072855 1
 
0.3%
37.0407249537 2
0.5%
ValueCountFrequency (%)
38.1054713866 1
0.3%
38.0728318543 1
0.3%
38.0476342267 1
0.3%
38.0187369922 1
0.3%
38.0016571511 1
0.3%
37.979258012 1
0.3%
37.9738745506 1
0.3%
37.9128687726 1
0.3%
37.9107168327 1
0.3%
37.9025229931 1
0.3%

WGS84경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct325
Distinct (%)93.4%
Missing42
Missing (%)10.8%
Infinite0
Infinite (%)0.0%
Mean127.05966
Minimum126.53048
Maximum127.77507
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-11T06:35:50.735788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.53048
5-th percentile126.70848
Q1126.8665
median127.04331
Q3127.19457
95-th percentile127.49828
Maximum127.77507
Range1.2445831
Interquartile range (IQR)0.32807638

Descriptive statistics

Standard deviation0.24697096
Coefficient of variation (CV)0.0019437401
Kurtosis-0.017069506
Mean127.05966
Median Absolute Deviation (MAD)0.15764526
Skewness0.50410644
Sum44216.763
Variance0.060994655
MonotonicityNot monotonic
2023-12-11T06:35:50.874666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0960046328 4
 
1.0%
127.200208733 3
 
0.8%
127.3136390086 3
 
0.8%
127.3544811396 3
 
0.8%
127.05157215 2
 
0.5%
127.154978537 2
 
0.5%
127.4486275561 2
 
0.5%
126.9992640485 2
 
0.5%
127.4872863226 2
 
0.5%
127.0016988213 2
 
0.5%
Other values (315) 323
82.8%
(Missing) 42
 
10.8%
ValueCountFrequency (%)
126.5304823475 1
0.3%
126.5522087631 1
0.3%
126.5671725045 1
0.3%
126.5975014579 1
0.3%
126.6061902055 1
0.3%
126.6085629631 1
0.3%
126.6278459922 1
0.3%
126.6296887577 1
0.3%
126.6319798628 1
0.3%
126.6423114855 1
0.3%
ValueCountFrequency (%)
127.775065459 1
0.3%
127.7541024499 1
0.3%
127.7326354216 1
0.3%
127.6914273766 1
0.3%
127.658161201 1
0.3%
127.6549210488 1
0.3%
127.6534775139 2
0.5%
127.647988477 1
0.3%
127.6330451198 1
0.3%
127.629422067 1
0.3%

Interactions

2023-12-11T06:35:46.172579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:45.556705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:45.850675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:46.269057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:45.652416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:45.961572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:46.369567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:45.756979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:46.081027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:35:50.966120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명소재지우편번호WGS84위도WGS84경도
시군명1.0000.9930.9540.918
소재지우편번호0.9931.0000.9110.850
WGS84위도0.9540.9111.0000.575
WGS84경도0.9180.8500.5751.000
2023-12-11T06:35:51.052737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명
소재지우편번호1.000-0.9190.1960.911
WGS84위도-0.9191.000-0.2400.726
WGS84경도0.196-0.2401.0000.620
시군명0.9110.7260.6201.000

Missing values

2023-12-11T06:35:46.523524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:35:46.651228image/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.
2023-12-11T06:35:46.754443image/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

시군명기관명전화번호소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
0가평군상천수련원031-581-703012449경기도 가평군 청평면 상천리 295-7경기도 가평군 청평면 경춘로 140137.777065127.462152
1가평군쁘띠프랑스청소년수련원031-584-820012456경기도 가평군 청평면 고성리 616-2번지경기도 가평군 청평면 호반로 106337.714833127.490276
2가평군드림아일랜드청소년수련원031-581-770812400경기도 가평군 북면 적목리 103-3번지경기도 가평군 북면 가화로 290137.979258127.446335
3가평군청심국제청소년수련원031-589-170012461경기도 가평군 설악면 송산리 595번지경기도 가평군 설악면 미사리로 278-6437.681564127.52165
4가평군(주)사람들031-584-027512449경기도 가평군 청평면 상천리 295-4<NA><NA><NA>
5가평군가평힐링캠프031-585-600112447경기도 가평군 상면 임초리 161경기도 가평군 상면 임초밤안골로 153-4237.753206127.372268
6가평군유스토리청소년수련원031-582-978812406경기도 가평군 북면 백둔리 110-2번지경기도 가평군 북면 백둔로 24637.902523127.480333
7가평군자연과별가평천문대031-581-400112406경기도 가평군 북면 백둔리 122-16경기도 가평군 북면 백둔로342번길 115-3337.912869127.474164
8고양시어깨동무소년원봉사센터031-915-371210358경기도 고양시 일산동구 정발산동 1237-8번지경기도 고양시 일산동구 산두로 167-2137.671858126.7827
9고양시일산십대교회031-916-131810369경기도 고양시 일산서구 대화동 2032경기도 고양시 일산서구 일산로 64437.682367126.757887
시군명기관명전화번호소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
380화성시화성시생태관광협동조합031-355-868518548경기도 화성시 송산면 고정리 156-1<NA>37.247927126.746692
381화성시시화호에코피플031-355-080418548경기도 화성시 송산면 고정리 156-4번지경기도 화성시 송산면 공룡로 48437.248095126.746393
382화성시자연생태원니벅스농조합법인031-357-822118545경기도 화성시 송산면 지화리 601<NA>37.210437126.67757
383화성시예문봉사활동센터070-4101-169118362경기도 화성시 안녕동 23-3 예문교회경기도 화성시 용주로32번길 537.205883127.013049
384화성시나래울소년문화의집031-8015-747018427경기도 화성시 능동 1130번지 나래울복합복지타운 내경기도 화성시 여울로2길 3337.205169127.051572
385화성시베어팜031-353-199118521경기도 화성시 정남면 백리 376-4 베어팜경기도 화성시 정남면 정송길23번길 1837.163555126.957625
386화성시햇살마루작은도서관031-233-2825<NA>경기도 화성시 기안동 광도와이드빌아파트 관리사무소 2층<NA><NA><NA>
387화성시한울유스센터031-355-754218278경기도 화성시 남양읍 활초리 195-5번지경기도 화성시 남양읍 고향의봄길 9937.186259126.835077
388화성시주식회사리아커뮤니케이션02-3291-223418278경기도 화성시 남양읍 활초리 195-5번지 15동 201호경기도 화성시 남양읍 고향의봄길 9937.186259126.835077
389화성시진주목장031-356-007318283경기도 화성시 비봉면 구포리 941-42 진주목장경기도 화성시 비봉면 일묵동길 2437.241277126.879331