Overview

Dataset statistics

Number of variables11
Number of observations23
Missing cells2
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory94.7 B

Variable types

Numeric1
Categorical5
Text5

Dataset

Description인천광역시 청소년 수련시설 기본현황의 데이터로 시설종류, 주소, 연락처, 홈페이지 주소 등의 정보를 제공합니다.
Author인천광역시
URLhttps://www.data.go.kr/data/15055886/fileData.do

Alerts

시도 has constant value ""Constant
공공_민간 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
시설종류 is highly overall correlated with 공공_민간High correlation
설치주체 is highly overall correlated with 공공_민간High correlation
연번 is highly overall correlated with 공공_민간High correlation
홈페이지 has 2 (8.7%) missing valuesMissing
연번 has unique valuesUnique
시설명 has unique valuesUnique
주 소 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:12:26.556298
Analysis finished2023-12-11 23:12:27.418888
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T08:12:27.497056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q16.5
median12
Q317.5
95-th percentile21.9
Maximum23
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.56519417
Kurtosis-1.2
Mean12
Median Absolute Deviation (MAD)6
Skewness0
Sum276
Variance46
MonotonicityStrictly increasing
2023-12-12T08:12:27.634658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 1
 
4.3%
2 1
 
4.3%
23 1
 
4.3%
22 1
 
4.3%
21 1
 
4.3%
20 1
 
4.3%
19 1
 
4.3%
18 1
 
4.3%
17 1
 
4.3%
16 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1 1
4.3%
2 1
4.3%
3 1
4.3%
4 1
4.3%
5 1
4.3%
6 1
4.3%
7 1
4.3%
8 1
4.3%
9 1
4.3%
10 1
4.3%
ValueCountFrequency (%)
23 1
4.3%
22 1
4.3%
21 1
4.3%
20 1
4.3%
19 1
4.3%
18 1
4.3%
17 1
4.3%
16 1
4.3%
15 1
4.3%
14 1
4.3%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
인천
23 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인천 23
100.0%

Length

2023-12-12T08:12:27.777795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:12:27.860727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천 23
100.0%

시군구
Categorical

Distinct10
Distinct (%)43.5%
Missing0
Missing (%)0.0%
Memory size316.0 B
강화군
6 
서구
4 
옹진군
3 
남동구
2 
연수구
2 
Other values (5)
6 

Length

Max length4
Median length3
Mean length2.7826087
Min length2

Unique

Unique4 ?
Unique (%)17.4%

Sample

1st row남동구
2nd row강화군
3rd row강화군
4th row강화군
5th row강화군

Common Values

ValueCountFrequency (%)
강화군 6
26.1%
서구 4
17.4%
옹진군 3
13.0%
남동구 2
 
8.7%
연수구 2
 
8.7%
계양구 2
 
8.7%
중구 1
 
4.3%
동구 1
 
4.3%
미추홀구 1
 
4.3%
부평구 1
 
4.3%

Length

2023-12-12T08:12:27.963309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:12:28.133926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강화군 6
26.1%
서구 4
17.4%
옹진군 3
13.0%
남동구 2
 
8.7%
연수구 2
 
8.7%
계양구 2
 
8.7%
중구 1
 
4.3%
동구 1
 
4.3%
미추홀구 1
 
4.3%
부평구 1
 
4.3%

읍면동
Text

Distinct21
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T08:12:28.320166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters69
Distinct characters42
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

Unique19 ?
Unique (%)82.6%

Sample

1st row장수동
2nd row강화읍
3rd row강화읍
4th row내가면
5th row선원면
ValueCountFrequency (%)
영흥면 2
 
8.7%
강화읍 2
 
8.7%
만수동 1
 
4.3%
장수동 1
 
4.3%
청학동 1
 
4.3%
마전동 1
 
4.3%
연희동 1
 
4.3%
원창동 1
 
4.3%
효성동 1
 
4.3%
방축동 1
 
4.3%
Other values (11) 11
47.8%
2023-12-12T08:12:28.630676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 15
21.7%
면 6
 
8.7%
영 2
 
2.9%
흥 2
 
2.9%
가 2
 
2.9%
원 2
 
2.9%
수 2
 
2.9%
읍 2
 
2.9%
화 2
 
2.9%
강 2
 
2.9%
Other values (32) 32
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 15
21.7%
면 6
 
8.7%
영 2
 
2.9%
흥 2
 
2.9%
가 2
 
2.9%
원 2
 
2.9%
수 2
 
2.9%
읍 2
 
2.9%
화 2
 
2.9%
강 2
 
2.9%
Other values (32) 32
46.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 15
21.7%
면 6
 
8.7%
영 2
 
2.9%
흥 2
 
2.9%
가 2
 
2.9%
원 2
 
2.9%
수 2
 
2.9%
읍 2
 
2.9%
화 2
 
2.9%
강 2
 
2.9%
Other values (32) 32
46.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 15
21.7%
면 6
 
8.7%
영 2
 
2.9%
흥 2
 
2.9%
가 2
 
2.9%
원 2
 
2.9%
수 2
 
2.9%
읍 2
 
2.9%
화 2
 
2.9%
강 2
 
2.9%
Other values (32) 32
46.4%

시설명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T08:12:28.876546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length8.7826087
Min length7

Characters and Unicode

Total characters202
Distinct characters59
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

Unique23 ?
Unique (%)100.0%

Sample

1st row인천광역시청소년수련관
2nd row강화군청소년수련관
3rd row강화군청소년문화의집
4th row강화유스호스텔
5th row강화성산청소년수련원
ValueCountFrequency (%)
인천광역시청소년수련관 1
 
4.3%
미추홀구청소년수련관 1
 
4.3%
검단청소년센터 1
 
4.3%
연희청소년센터 1
 
4.3%
서구청소년센터 1
 
4.3%
계양구청소년문화의집 1
 
4.3%
계양구청소년수련관 1
 
4.3%
부평구청소년수련관 1
 
4.3%
남동청소년문화의집 1
 
4.3%
연수청소년문화의집 1
 
4.3%
Other values (13) 13
56.5%
2023-12-12T08:12:29.227871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
청 19
 
9.4%
소 19
 
9.4%
년 19
 
9.4%
수 12
 
5.9%
련 10
 
5.0%
화 10
 
5.0%
스 9
 
4.5%
구 8
 
4.0%
관 8
 
4.0%
문 5
 
2.5%
Other values (49) 83
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 201
99.5%
Space Separator 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 19
 
9.5%
소 19
 
9.5%
년 19
 
9.5%
수 12
 
6.0%
련 10
 
5.0%
화 10
 
5.0%
스 9
 
4.5%
구 8
 
4.0%
관 8
 
4.0%
문 5
 
2.5%
Other values (48) 82
40.8%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 201
99.5%
Common 1
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 19
 
9.5%
소 19
 
9.5%
년 19
 
9.5%
수 12
 
6.0%
련 10
 
5.0%
화 10
 
5.0%
스 9
 
4.5%
구 8
 
4.0%
관 8
 
4.0%
문 5
 
2.5%
Other values (48) 82
40.8%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 201
99.5%
ASCII 1
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
청 19
 
9.5%
소 19
 
9.5%
년 19
 
9.5%
수 12
 
6.0%
련 10
 
5.0%
화 10
 
5.0%
스 9
 
4.5%
구 8
 
4.0%
관 8
 
4.0%
문 5
 
2.5%
Other values (48) 82
40.8%
ASCII
ValueCountFrequency (%)
1
100.0%

설치주체
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size316.0 B
구립
14 
민간
6 
군립
2 
시립
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)4.3%

Sample

1st row시립
2nd row군립
3rd row군립
4th row민간
5th row민간

Common Values

ValueCountFrequency (%)
구립 14
60.9%
민간 6
26.1%
군립 2
 
8.7%
시립 1
 
4.3%

Length

2023-12-12T08:12:29.340846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:12:29.430936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구립 14
60.9%
민간 6
26.1%
군립 2
 
8.7%
시립 1
 
4.3%

시설종류
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size316.0 B
수련관
9 
문화의집
8 
유스호스텔
4 
수련원
2 

Length

Max length5
Median length4
Mean length3.6956522
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수련관
2nd row수련관
3rd row문화의집
4th row유스호스텔
5th row수련원

Common Values

ValueCountFrequency (%)
수련관 9
39.1%
문화의집 8
34.8%
유스호스텔 4
17.4%
수련원 2
 
8.7%

Length

2023-12-12T08:12:29.544706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:12:29.646194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수련관 9
39.1%
문화의집 8
34.8%
유스호스텔 4
17.4%
수련원 2
 
8.7%

공공_민간
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
공공
17 
민간
6 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공공
2nd row공공
3rd row공공
4th row민간
5th row민간

Common Values

ValueCountFrequency (%)
공공 17
73.9%
민간 6
 
26.1%

Length

2023-12-12T08:12:29.752563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:12:29.854825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공 17
73.9%
민간 6
 
26.1%

주 소
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T08:12:30.046620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length18.130435
Min length9

Characters and Unicode

Total characters417
Distinct characters88
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row인천시 남동구 장수로 42
2nd row인천시 강화군 강화읍 강화대로 154
3rd row인천시 강화군 강화읍 향나무길 22번길 20
4th row인천시 강화군 내가면 해안서로 972
5th row인천시 강화군 선원면 충렬사로 178번길 116
ValueCountFrequency (%)
인천시 19
 
17.9%
강화군 6
 
5.7%
서구 4
 
3.8%
옹진군 3
 
2.8%
인천 3
 
2.8%
남동구 2
 
1.9%
강화읍 2
 
1.9%
계양구 2
 
1.9%
연수구 2
 
1.9%
52 2
 
1.9%
Other values (60) 61
57.5%
2023-12-12T08:12:30.409405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
83
19.9%
인 23
 
5.5%
천 22
 
5.3%
로 21
 
5.0%
2 20
 
4.8%
시 19
 
4.6%
구 14
 
3.4%
1 11
 
2.6%
길 10
 
2.4%
화 9
 
2.2%
Other values (78) 185
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 250
60.0%
Space Separator 83
 
19.9%
Decimal Number 80
 
19.2%
Dash Punctuation 3
 
0.7%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 23
 
9.2%
천 22
 
8.8%
로 21
 
8.4%
시 19
 
7.6%
구 14
 
5.6%
길 10
 
4.0%
화 9
 
3.6%
군 9
 
3.6%
강 9
 
3.6%
번 8
 
3.2%
Other values (65) 106
42.4%
Decimal Number
ValueCountFrequency (%)
2 20
25.0%
1 11
13.8%
7 8
 
10.0%
4 7
 
8.8%
8 7
 
8.8%
6 7
 
8.8%
0 6
 
7.5%
3 5
 
6.2%
9 5
 
6.2%
5 4
 
5.0%
Space Separator
ValueCountFrequency (%)
83
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 250
60.0%
Common 167
40.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 23
 
9.2%
천 22
 
8.8%
로 21
 
8.4%
시 19
 
7.6%
구 14
 
5.6%
길 10
 
4.0%
화 9
 
3.6%
군 9
 
3.6%
강 9
 
3.6%
번 8
 
3.2%
Other values (65) 106
42.4%
Common
ValueCountFrequency (%)
83
49.7%
2 20
 
12.0%
1 11
 
6.6%
7 8
 
4.8%
4 7
 
4.2%
8 7
 
4.2%
6 7
 
4.2%
0 6
 
3.6%
3 5
 
3.0%
9 5
 
3.0%
Other values (3) 8
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 250
60.0%
ASCII 167
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
83
49.7%
2 20
 
12.0%
1 11
 
6.6%
7 8
 
4.8%
4 7
 
4.2%
8 7
 
4.2%
6 7
 
4.2%
0 6
 
3.6%
3 5
 
3.0%
9 5
 
3.0%
Other values (3) 8
 
4.8%
Hangul
ValueCountFrequency (%)
인 23
 
9.2%
천 22
 
8.8%
로 21
 
8.4%
시 19
 
7.6%
구 14
 
5.6%
길 10
 
4.0%
화 9
 
3.6%
군 9
 
3.6%
강 9
 
3.6%
번 8
 
3.2%
Other values (65) 106
42.4%

연락처
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T08:12:30.612686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.043478
Min length12

Characters and Unicode

Total characters277
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

Unique23 ?
Unique (%)100.0%

Sample

1st row032-456-2420
2nd row032-930-7099
3rd row032-930-7049
4th row032-933-8891
5th row032-934-0403
ValueCountFrequency (%)
032-456-2420 1
 
4.3%
032-887-5270 1
 
4.3%
032-569-2335 1
 
4.3%
032-561-5566 1
 
4.3%
032-577-7979 1
 
4.3%
032-262-7334 1
 
4.3%
032-546-7646 1
 
4.3%
032-500-2200 1
 
4.3%
032-466-2640 1
 
4.3%
032-831-3660 1
 
4.3%
Other values (13) 13
56.5%
2023-12-12T08:12:30.890367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 48
17.3%
- 46
16.6%
3 42
15.2%
2 37
13.4%
6 17
 
6.1%
9 17
 
6.1%
7 17
 
6.1%
8 15
 
5.4%
5 14
 
5.1%
4 13
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 231
83.4%
Dash Punctuation 46
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 48
20.8%
3 42
18.2%
2 37
16.0%
6 17
 
7.4%
9 17
 
7.4%
7 17
 
7.4%
8 15
 
6.5%
5 14
 
6.1%
4 13
 
5.6%
1 11
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 277
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 48
17.3%
- 46
16.6%
3 42
15.2%
2 37
13.4%
6 17
 
6.1%
9 17
 
6.1%
7 17
 
6.1%
8 15
 
5.4%
5 14
 
5.1%
4 13
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 277
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 48
17.3%
- 46
16.6%
3 42
15.2%
2 37
13.4%
6 17
 
6.1%
9 17
 
6.1%
7 17
 
6.1%
8 15
 
5.4%
5 14
 
5.1%
4 13
 
4.7%

홈페이지
Text

MISSING 

Distinct17
Distinct (%)81.0%
Missing2
Missing (%)8.7%
Memory size316.0 B
2023-12-12T08:12:31.063702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length22
Mean length18.857143
Min length12

Characters and Unicode

Total characters396
Distinct characters32
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

Unique15 ?
Unique (%)71.4%

Sample

1st rowwww.insiseol.or.kr
2nd rowhttp://www.ghss.or.kr/
3rd rowhttp://www.ghss.or.kr/
4th rowwww.gh-yh.co.kr
5th rowwww.sungsanyouth.com
ValueCountFrequency (%)
www.issi.or.kr 4
19.0%
http://www.ghss.or.kr 2
 
9.5%
www.pot0924.org 1
 
4.8%
www.icyouth.or.kr 1
 
4.8%
https://url.kr/n4w7be 1
 
4.8%
http://www.gysiseol.or.kr 1
 
4.8%
https://portal.icbp.go.kr/bpy 1
 
4.8%
www.ndyouth.or.kr 1
 
4.8%
www.ysycc.kr 1
 
4.8%
http://youth.icjgss.or.kr 1
 
4.8%
Other values (7) 7
33.3%
2023-12-12T08:12:31.353021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 57
14.4%
w 56
14.1%
r 34
 
8.6%
o 29
 
7.3%
s 25
 
6.3%
t 19
 
4.8%
k 18
 
4.5%
h 18
 
4.5%
/ 18
 
4.5%
i 17
 
4.3%
Other values (22) 105
26.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 300
75.8%
Other Punctuation 81
 
20.5%
Decimal Number 10
 
2.5%
Space Separator 4
 
1.0%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 56
18.7%
r 34
11.3%
o 29
9.7%
s 25
8.3%
t 19
 
6.3%
k 18
 
6.0%
h 18
 
6.0%
i 17
 
5.7%
c 13
 
4.3%
y 11
 
3.7%
Other values (12) 60
20.0%
Decimal Number
ValueCountFrequency (%)
4 3
30.0%
9 2
20.0%
2 2
20.0%
7 2
20.0%
0 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
. 57
70.4%
/ 18
 
22.2%
: 6
 
7.4%
Space Separator
ValueCountFrequency (%)
4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 300
75.8%
Common 96
 
24.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 56
18.7%
r 34
11.3%
o 29
9.7%
s 25
8.3%
t 19
 
6.3%
k 18
 
6.0%
h 18
 
6.0%
i 17
 
5.7%
c 13
 
4.3%
y 11
 
3.7%
Other values (12) 60
20.0%
Common
ValueCountFrequency (%)
. 57
59.4%
/ 18
 
18.8%
: 6
 
6.2%
4
 
4.2%
4 3
 
3.1%
9 2
 
2.1%
2 2
 
2.1%
7 2
 
2.1%
0 1
 
1.0%
- 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 396
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 57
14.4%
w 56
14.1%
r 34
 
8.6%
o 29
 
7.3%
s 25
 
6.3%
t 19
 
4.8%
k 18
 
4.5%
h 18
 
4.5%
/ 18
 
4.5%
i 17
 
4.3%
Other values (22) 105
26.5%

Interactions

2023-12-12T08:12:27.038283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:12:31.494696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시군구읍면동시설명설치주체시설종류공공_민간주 소연락처홈페이지
연번1.0000.8660.9501.0000.7570.6860.9401.0001.0000.965
시군구0.8661.0001.0001.0000.5540.0000.6551.0001.0001.000
읍면동0.9501.0001.0001.0001.0000.9461.0001.0001.0001.000
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
설치주체0.7570.5541.0001.0001.0000.8501.0001.0001.0001.000
시설종류0.6860.0000.9461.0000.8501.0001.0001.0001.0000.897
공공_민간0.9400.6551.0001.0001.0001.0001.0001.0001.0001.000
주 소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
홈페이지0.9651.0001.0001.0001.0000.8971.0001.0001.0001.000
2023-12-12T08:12:31.641004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공공_민간시설종류설치주체시군구
공공_민간1.0000.9510.9510.383
시설종류0.9511.0000.5000.000
설치주체0.9510.5001.0000.270
시군구0.3830.0000.2701.000
2023-12-12T08:12:31.760488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시군구설치주체시설종류공공_민간
연번1.0000.4210.4370.3510.586
시군구0.4211.0000.2700.0000.383
설치주체0.4370.2701.0000.5000.951
시설종류0.3510.0000.5001.0000.951
공공_민간0.5860.3830.9510.9511.000

Missing values

2023-12-12T08:12:27.170912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:12:27.331696image/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

연번시도시군구읍면동시설명설치주체시설종류공공_민간주 소연락처홈페이지
01인천남동구장수동인천광역시청소년수련관시립수련관공공인천시 남동구 장수로 42032-456-2420www.insiseol.or.kr
12인천강화군강화읍강화군청소년수련관군립수련관공공인천시 강화군 강화읍 강화대로 154032-930-7099http://www.ghss.or.kr/
23인천강화군강화읍강화군청소년문화의집군립문화의집공공인천시 강화군 강화읍 향나무길 22번길 20032-930-7049http://www.ghss.or.kr/
34인천강화군내가면강화유스호스텔민간유스호스텔민간인천시 강화군 내가면 해안서로 972032-933-8891www.gh-yh.co.kr
45인천강화군선원면강화성산청소년수련원민간수련원민간인천시 강화군 선원면 충렬사로 178번길 116032-934-0403www.sungsanyouth.com
56인천강화군하점면신화유스호스텔민간유스호스텔민간인천시 강화군 하점면 창후로 288번길 52032-932-7501www.sinhwayh.com
67인천강화군길상면그레이스힐청소년수련원민간수련원민간인천시 강화군 길상면 해안남로 842-10032-930-9302www.scggracehill.co.kr
78인천옹진군진촌리백령청소년문화의집구립문화의집공공인천시 옹진군 백령면 백령로254번길 62-17032-8366-1318<NA>
89인천옹진군영흥면서해오션빌유스호스텔민간유스호스텔민간인천시 옹진군 영흥면 선재리 14-1032-887-6100www.oceanvill.co.kr
910인천옹진군영흥면영흥도유스호스텔민간유스호스텔민간인천시 옹진군 영흥면 영흥로 676032-882-8547<NA>
연번시도시군구읍면동시설명설치주체시설종류공공_민간주 소연락처홈페이지
1314인천연수구동춘동연수구청소년수련관구립수련관공공인천시 연수구 앵고개로 132032-833-2010www.pot0924.org
1415인천연수구청학동연수청소년문화의집구립문화의집공공인천 연수구 비류대로 299, 3층032-831-3660www.ysycc.kr
1516인천남동구만수동남동청소년문화의집구립문화의집공공인천시 남동구 만수서로 70032-466-2640www.ndyouth.or.kr
1617인천부평구삼산동부평구청소년수련관구립수련관공공인천시 부평구 체육관로 76032-500-2200https://portal.icbp.go.kr/bpy/
1718인천계양구방축동계양구청소년수련관구립수련관공공인천 계양구 장제로 937032-546-7646http://www.gysiseol.or.kr
1819인천계양구효성동계양구청소년문화의집구립문화의집공공인천 계양구 봉도대로 600번길20032-262-7334https://url.kr/n4w7be
1920인천서구원창동서구청소년센터구립수련관공공인천시 서구 원창로 92032-577-7979www.issi.or.kr
2021인천서구연희동연희청소년센터구립문화의집공공인천시 서구 승학로 264032-561-5566www.issi.or.kr
2122인천서구마전동검단청소년센터구립문화의집공공인천시 서구 완정로 188번길3032-569-2335www.issi.or.kr
2223인천서구가좌동가좌청소년센터구립문화의집공공인천시 서구 원적로 7번길 12032-580-1190www.issi.or.kr