Overview

Dataset statistics

Number of variables6
Number of observations275
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.3 KiB
Average record size in memory49.5 B

Variable types

Numeric1
Categorical2
Text3

Dataset

Description전국적으로 운영되고 있는 자치단체의 정보화마을 운영현황을 권역별로 제공하고, 정보화마을명, 상세 주소 등 정보 제공
Author행정안전부 한국지역정보개발원
URLhttps://www.data.go.kr/data/15011953/fileData.do

Alerts

순번 is highly overall correlated with 시도High correlation
시도 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique
마을명 has unique valuesUnique
마을 홈페이지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:52:09.166247
Analysis finished2023-12-12 04:52:09.891234
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct275
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean138
Minimum1
Maximum275
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-12T13:52:09.973773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.7
Q169.5
median138
Q3206.5
95-th percentile261.3
Maximum275
Range274
Interquartile range (IQR)137

Descriptive statistics

Standard deviation79.529869
Coefficient of variation (CV)0.5763034
Kurtosis-1.2
Mean138
Median Absolute Deviation (MAD)69
Skewness0
Sum37950
Variance6325
MonotonicityStrictly increasing
2023-12-12T13:52:10.159349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
183 1
 
0.4%
189 1
 
0.4%
188 1
 
0.4%
187 1
 
0.4%
186 1
 
0.4%
185 1
 
0.4%
184 1
 
0.4%
182 1
 
0.4%
174 1
 
0.4%
Other values (265) 265
96.4%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
275 1
0.4%
274 1
0.4%
273 1
0.4%
272 1
0.4%
271 1
0.4%
270 1
0.4%
269 1
0.4%
268 1
0.4%
267 1
0.4%
266 1
0.4%

조성차수
Categorical

Distinct14
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
4 차
61 
2 차
58 
3 차
51 
6 차
22 
5 차
22 
Other values (9)
61 

Length

Max length4
Median length3
Mean length3.0072727
Min length3

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row2 차
2nd row4 차
3rd row2 차
4th row1 차
5th row4 차

Common Values

ValueCountFrequency (%)
4 차 61
22.2%
2 차 58
21.1%
3 차 51
18.5%
6 차 22
 
8.0%
5 차 22
 
8.0%
7 차 22
 
8.0%
1 차 17
 
6.2%
8 차 10
 
3.6%
9 차 3
 
1.1%
10차 3
 
1.1%
Other values (4) 6
 
2.2%

Length

2023-12-12T13:52:10.345960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
차 266
49.2%
4 61
 
11.3%
2 58
 
10.7%
3 51
 
9.4%
6 22
 
4.1%
5 22
 
4.1%
7 22
 
4.1%
1 17
 
3.1%
8 10
 
1.8%
9 3
 
0.6%
Other values (5) 9
 
1.7%

시도
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
강원
48 
경북
43 
전남
39 
경기
38 
전북
27 
Other values (6)
80 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산
2nd row부산
3rd row대구
4th row대구
5th row경기

Common Values

ValueCountFrequency (%)
강원 48
17.5%
경북 43
15.6%
전남 39
14.2%
경기 38
13.8%
전북 27
9.8%
경남 26
9.5%
충남 22
8.0%
충북 17
 
6.2%
제주 11
 
4.0%
부산 2
 
0.7%

Length

2023-12-12T13:52:10.524224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
강원 48
17.5%
경북 43
15.6%
전남 39
14.2%
경기 38
13.8%
전북 27
9.8%
경남 26
9.5%
충남 22
8.0%
충북 17
 
6.2%
제주 11
 
4.0%
부산 2
 
0.7%

시군구
Text

Distinct124
Distinct (%)45.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T13:52:10.882538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0218182
Min length2

Characters and Unicode

Total characters831
Distinct characters98
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

Unique44 ?
Unique (%)16.0%

Sample

1st row금정구
2nd row기장군
3rd row달성군
4th row동구
5th row가평군
ValueCountFrequency (%)
양평군 9
 
3.3%
서귀포시 6
 
2.2%
화성시 6
 
2.2%
광양시 5
 
1.8%
제주시 5
 
1.8%
태안군 5
 
1.8%
삼척시 5
 
1.8%
강릉시 5
 
1.8%
여주시 4
 
1.5%
화천군 4
 
1.5%
Other values (114) 221
80.4%
2023-12-12T13:52:11.540608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
군 153
18.4%
시 122
 
14.7%
주 37
 
4.5%
천 33
 
4.0%
양 32
 
3.9%
성 26
 
3.1%
안 21
 
2.5%
영 19
 
2.3%
평 17
 
2.0%
제 16
 
1.9%
Other values (88) 355
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 831
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 153
18.4%
시 122
 
14.7%
주 37
 
4.5%
천 33
 
4.0%
양 32
 
3.9%
성 26
 
3.1%
안 21
 
2.5%
영 19
 
2.3%
평 17
 
2.0%
제 16
 
1.9%
Other values (88) 355
42.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 831
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 153
18.4%
시 122
 
14.7%
주 37
 
4.5%
천 33
 
4.0%
양 32
 
3.9%
성 26
 
3.1%
안 21
 
2.5%
영 19
 
2.3%
평 17
 
2.0%
제 16
 
1.9%
Other values (88) 355
42.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 831
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
군 153
18.4%
시 122
 
14.7%
주 37
 
4.5%
천 33
 
4.0%
양 32
 
3.9%
성 26
 
3.1%
안 21
 
2.5%
영 19
 
2.3%
평 17
 
2.0%
제 16
 
1.9%
Other values (88) 355
42.7%

마을명
Text

UNIQUE 

Distinct275
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T13:52:11.913190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length11.869091
Min length9

Characters and Unicode

Total characters3264
Distinct characters314
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

Unique275 ?
Unique (%)100.0%

Sample

1st row부산 금정 금정산성마을
2nd row부산 기장 임랑해맞이마을
3rd row대구 달성 신당수박마을
4th row대구 동구 미대/내동마을
5th row경기 가평 반딧불마을
ValueCountFrequency (%)
강원 48
 
5.8%
경북 43
 
5.2%
전남 39
 
4.7%
경기 38
 
4.6%
전북 27
 
3.3%
경남 26
 
3.2%
충남 22
 
2.7%
충북 17
 
2.1%
제주 16
 
1.9%
양평 9
 
1.1%
Other values (398) 540
65.5%
2023-12-12T13:52:12.411431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
550
 
16.9%
마 277
 
8.5%
을 275
 
8.4%
경 116
 
3.6%
남 96
 
2.9%
북 88
 
2.7%
전 73
 
2.2%
산 59
 
1.8%
강 57
 
1.7%
원 56
 
1.7%
Other values (304) 1617
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2710
83.0%
Space Separator 550
 
16.9%
Other Punctuation 2
 
0.1%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 277
 
10.2%
을 275
 
10.1%
경 116
 
4.3%
남 96
 
3.5%
북 88
 
3.2%
전 73
 
2.7%
산 59
 
2.2%
강 57
 
2.1%
원 56
 
2.1%
기 53
 
2.0%
Other values (300) 1560
57.6%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
8 1
50.0%
Space Separator
ValueCountFrequency (%)
550
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2710
83.0%
Common 554
 
17.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 277
 
10.2%
을 275
 
10.1%
경 116
 
4.3%
남 96
 
3.5%
북 88
 
3.2%
전 73
 
2.7%
산 59
 
2.2%
강 57
 
2.1%
원 56
 
2.1%
기 53
 
2.0%
Other values (300) 1560
57.6%
Common
ValueCountFrequency (%)
550
99.3%
/ 2
 
0.4%
3 1
 
0.2%
8 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2710
83.0%
ASCII 554
 
17.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
550
99.3%
/ 2
 
0.4%
3 1
 
0.2%
8 1
 
0.2%
Hangul
ValueCountFrequency (%)
마 277
 
10.2%
을 275
 
10.1%
경 116
 
4.3%
남 96
 
3.5%
북 88
 
3.2%
전 73
 
2.7%
산 59
 
2.2%
강 57
 
2.1%
원 56
 
2.1%
기 53
 
2.0%
Other values (300) 1560
57.6%

마을 홈페이지
Text

UNIQUE 

Distinct275
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T13:52:12.695232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length23.909091
Min length20

Characters and Unicode

Total characters6575
Distinct characters33
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique275 ?
Unique (%)100.0%

Sample

1st rowhttp://sanseong.invil.org/
2nd rowhttp://imrang.invil.org/
3rd rowhttp://sindang.invil.org/
4th rowhttp://palgong.invil.org/
5th rowhttp://bandibul.invil.org/
ValueCountFrequency (%)
http://sanseong.invil.org 1
 
0.4%
http://yak.invil.org 1
 
0.4%
http://kimchi.invil.org 1
 
0.4%
http://songho.invil.org 1
 
0.4%
http://dopo.invil.org 1
 
0.4%
http://samho.invil.org 1
 
0.4%
http://dal.invil.org 1
 
0.4%
http://silla.invil.org 1
 
0.4%
http://8bang.invil.org 1
 
0.4%
http://hot.invil.org 1
 
0.4%
Other values (265) 265
96.4%
2023-12-12T13:52:13.126600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 825
12.5%
i 620
 
9.4%
t 572
 
8.7%
. 550
 
8.4%
o 448
 
6.8%
n 441
 
6.7%
g 401
 
6.1%
l 345
 
5.2%
h 341
 
5.2%
r 317
 
4.8%
Other values (23) 1715
26.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4913
74.7%
Other Punctuation 1650
 
25.1%
Decimal Number 10
 
0.2%
Dash Punctuation 1
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 620
12.6%
t 572
11.6%
o 448
9.1%
n 441
9.0%
g 401
8.2%
l 345
7.0%
h 341
6.9%
r 317
 
6.5%
p 311
 
6.3%
v 281
 
5.7%
Other values (14) 836
17.0%
Decimal Number
ValueCountFrequency (%)
8 3
30.0%
0 3
30.0%
3 2
20.0%
7 2
20.0%
Other Punctuation
ValueCountFrequency (%)
/ 825
50.0%
. 550
33.3%
: 275
 
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4913
74.7%
Common 1662
 
25.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 620
12.6%
t 572
11.6%
o 448
9.1%
n 441
9.0%
g 401
8.2%
l 345
7.0%
h 341
6.9%
r 317
 
6.5%
p 311
 
6.3%
v 281
 
5.7%
Other values (14) 836
17.0%
Common
ValueCountFrequency (%)
/ 825
49.6%
. 550
33.1%
: 275
 
16.5%
8 3
 
0.2%
0 3
 
0.2%
3 2
 
0.1%
7 2
 
0.1%
- 1
 
0.1%
1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6575
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 825
12.5%
i 620
 
9.4%
t 572
 
8.7%
. 550
 
8.4%
o 448
 
6.8%
n 441
 
6.7%
g 401
 
6.1%
l 345
 
5.2%
h 341
 
5.2%
r 317
 
4.8%
Other values (23) 1715
26.1%

Interactions

2023-12-12T13:52:09.537115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:52:13.236955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번조성차수시도
순번1.0000.0000.921
조성차수0.0001.0000.000
시도0.9210.0001.000
2023-12-12T13:52:13.361344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
조성차수시도
조성차수1.0000.000
시도0.0001.000
2023-12-12T13:52:13.463462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번조성차수시도
순번1.0000.0000.724
조성차수0.0001.0000.000
시도0.7240.0001.000

Missing values

2023-12-12T13:52:09.673116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:52:09.827378image/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

순번조성차수시도시군구마을명마을 홈페이지
012 차부산금정구부산 금정 금정산성마을http://sanseong.invil.org/
124 차부산기장군부산 기장 임랑해맞이마을http://imrang.invil.org/
232 차대구달성군대구 달성 신당수박마을http://sindang.invil.org/
341 차대구동구대구 동구 미대/내동마을http://palgong.invil.org/
454 차경기가평군경기 가평 반딧불마을http://bandibul.invil.org/
563 차경기가평군경기 가평 잣마을http://jat.invil.org/
671 차경기군포시경기 군포 오금마을http://ogeum.invil.org/
784 차경기남양주시경기 남양주 고로쇠마을http://wellbeing.invil.org/
893 차경기안산시경기 안산 대부도종현마을http://daebudo.invil.org/
9103 차경기안성시경기 안성 과채류마을http://anseongsg.invil.org/
순번조성차수시도시군구마을명마을 홈페이지
2652667 차제주제주시제주 제주 상명정낭마을http://sangmyung.invil.org/
2662677 차제주제주시제주 제주 섬머리도두마을http://dodu.invil.org/
2672682 차제주제주시제주 제주 영평마을http://eyp.invil.org/
2682693 차제주제주시제주 제주 저지예술마을http://jeoji.invil.org/
2692707 차제주서귀포시제주 서귀포 무릉도원마을http://utopia.invil.org/
2702711 차제주서귀포시제주 서귀포 상예마을http://sangye.invil.org/
2712725 차제주서귀포시제주 서귀포 수산마을http://susan.invil.org/
2722732 차제주서귀포시제주 서귀포 알토산마을http://altosan.invil.org/
2732743 차제주서귀포시제주 서귀포 월평화훼마을http://flower.invil.org/
2742753 차제주서귀포시제주 서귀포 한남감귤마을http://hannam.invil.org/