Overview

Dataset statistics

Number of variables6
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory54.3 B

Variable types

Text3
Categorical3

Dataset

Description가평군시설관리공단에서 운영하는 사업 현황으로 숙박시설, 체육시설, 임대시설, 복지사업, 환경사업 등에 대한 안내입니다.
URLhttps://www.data.go.kr/data/15103273/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
용도 is highly overall correlated with 관리부서High correlation
관리부서 is highly overall correlated with 용도High correlation
사업명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:25:29.604140
Analysis finished2023-12-12 03:25:30.227979
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업명칭
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T12:25:30.418786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length6.8571429
Min length5

Characters and Unicode

Total characters144
Distinct characters81
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

Unique21 ?
Unique (%)100.0%

Sample

1st row산장관광지
2nd row칼봉산자연휴양림
3rd row연인산다목적캠핑장
4th row가평썰매장
5th row자라섬캠핑장
ValueCountFrequency (%)
산장관광지 1
 
4.8%
가평체육관 1
 
4.8%
청평호반문화체육센터 1
 
4.8%
조종국민체육센터 1
 
4.8%
설악야구장 1
 
4.8%
가평야구장 1
 
4.8%
가평테니스장 1
 
4.8%
축구전용구장 1
 
4.8%
가평종합운동장 1
 
4.8%
가평생활체육공원 1
 
4.8%
Other values (11) 11
52.4%
2023-12-12T12:25:30.921002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10
 
6.9%
8
 
5.6%
7
 
4.9%
5
 
3.5%
5
 
3.5%
4
 
2.8%
4
 
2.8%
4
 
2.8%
4
 
2.8%
3
 
2.1%
Other values (71) 90
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 144
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10
 
6.9%
8
 
5.6%
7
 
4.9%
5
 
3.5%
5
 
3.5%
4
 
2.8%
4
 
2.8%
4
 
2.8%
4
 
2.8%
3
 
2.1%
Other values (71) 90
62.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 144
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10
 
6.9%
8
 
5.6%
7
 
4.9%
5
 
3.5%
5
 
3.5%
4
 
2.8%
4
 
2.8%
4
 
2.8%
4
 
2.8%
3
 
2.1%
Other values (71) 90
62.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 144
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
10
 
6.9%
8
 
5.6%
7
 
4.9%
5
 
3.5%
5
 
3.5%
4
 
2.8%
4
 
2.8%
4
 
2.8%
4
 
2.8%
3
 
2.1%
Other values (71) 90
62.5%

주소
Text

Distinct12
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T12:25:31.197598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length16.047619
Min length13

Characters and Unicode

Total characters337
Distinct characters55
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

Unique11 ?
Unique (%)52.4%

Sample

1st row가평군 상면 덕현산장길 71번길
2nd row가평군 가평읍 경반안로 454번길
3rd row가평군 북면 백둔로 441번길
4th row가평군 상면 깃대봉길 5~20번길
5th row가평군 가평읍 자라섬로 60번길
ValueCountFrequency (%)
가평군 21
25.0%
가평읍 14
16.7%
문화로 10
11.9%
131 10
11.9%
청평면 2
 
2.4%
상면 2
 
2.4%
대성리 1
 
1.2%
11번길 1
 
1.2%
은고개길 1
 
1.2%
대곡실 1
 
1.2%
Other values (21) 21
25.0%
2023-12-12T12:25:31.690764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
63
18.7%
37
11.0%
35
 
10.4%
1 27
 
8.0%
21
 
6.2%
15
 
4.5%
14
 
4.2%
3 13
 
3.9%
10
 
3.0%
10
 
3.0%
Other values (45) 92
27.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 208
61.7%
Space Separator 63
 
18.7%
Decimal Number 63
 
18.7%
Dash Punctuation 2
 
0.6%
Math Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
37
17.8%
35
16.8%
21
10.1%
15
 
7.2%
14
 
6.7%
10
 
4.8%
10
 
4.8%
10
 
4.8%
8
 
3.8%
7
 
3.4%
Other values (33) 41
19.7%
Decimal Number
ValueCountFrequency (%)
1 27
42.9%
3 13
20.6%
4 5
 
7.9%
0 4
 
6.3%
5 4
 
6.3%
2 3
 
4.8%
6 3
 
4.8%
7 2
 
3.2%
8 2
 
3.2%
Space Separator
ValueCountFrequency (%)
63
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 208
61.7%
Common 129
38.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
37
17.8%
35
16.8%
21
10.1%
15
 
7.2%
14
 
6.7%
10
 
4.8%
10
 
4.8%
10
 
4.8%
8
 
3.8%
7
 
3.4%
Other values (33) 41
19.7%
Common
ValueCountFrequency (%)
63
48.8%
1 27
20.9%
3 13
 
10.1%
4 5
 
3.9%
0 4
 
3.1%
5 4
 
3.1%
2 3
 
2.3%
6 3
 
2.3%
- 2
 
1.6%
7 2
 
1.6%
Other values (2) 3
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 208
61.7%
ASCII 129
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
63
48.8%
1 27
20.9%
3 13
 
10.1%
4 5
 
3.9%
0 4
 
3.1%
5 4
 
3.1%
2 3
 
2.3%
6 3
 
2.3%
- 2
 
1.6%
7 2
 
1.6%
Other values (2) 3
 
2.3%
Hangul
ValueCountFrequency (%)
37
17.8%
35
16.8%
21
10.1%
15
 
7.2%
14
 
6.7%
10
 
4.8%
10
 
4.8%
10
 
4.8%
8
 
3.8%
7
 
3.4%
Other values (33) 41
19.7%
Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T12:25:31.984391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters273
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

Unique17 ?
Unique (%)81.0%

Sample

1st row031-8078-8054
2nd row031-8078-8025
3rd row031-8078-8067
4th row031-8078-8051
5th row031-8078-8028
ValueCountFrequency (%)
031-8078-8073 2
 
9.5%
031-8078-8085 2
 
9.5%
031-8078-8072 1
 
4.8%
031-8078-8054 1
 
4.8%
031-8078-8024 1
 
4.8%
031-8078-7310 1
 
4.8%
031-8078-8093 1
 
4.8%
031-8078-8126 1
 
4.8%
031-8078-8034 1
 
4.8%
031-8078-8087 1
 
4.8%
Other values (9) 9
42.9%
2023-12-12T12:25:32.473525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 68
24.9%
0 60
22.0%
- 42
15.4%
7 29
10.6%
1 28
10.3%
3 26
 
9.5%
5 7
 
2.6%
2 6
 
2.2%
6 3
 
1.1%
4 3
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 231
84.6%
Dash Punctuation 42
 
15.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 68
29.4%
0 60
26.0%
7 29
12.6%
1 28
12.1%
3 26
 
11.3%
5 7
 
3.0%
2 6
 
2.6%
6 3
 
1.3%
4 3
 
1.3%
9 1
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 273
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 68
24.9%
0 60
22.0%
- 42
15.4%
7 29
10.6%
1 28
10.3%
3 26
 
9.5%
5 7
 
2.6%
2 6
 
2.2%
6 3
 
1.1%
4 3
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 273
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 68
24.9%
0 60
22.0%
- 42
15.4%
7 29
10.6%
1 28
10.3%
3 26
 
9.5%
5 7
 
2.6%
2 6
 
2.2%
6 3
 
1.1%
4 3
 
1.1%

용도
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Memory size300.0 B
체육시설
12 
숙박시설
숙박시설, 체육시설
 
1
캐라반, 오토캠핑장, 공원
 
1
부동산 임대시설
 
1
Other values (4)

Length

Max length14
Median length4
Mean length5.1428571
Min length4

Unique

Unique7 ?
Unique (%)33.3%

Sample

1st row숙박시설
2nd row숙박시설
3rd row숙박시설, 체육시설
4th row체육시설
5th row캐라반, 오토캠핑장, 공원

Common Values

ValueCountFrequency (%)
체육시설 12
57.1%
숙박시설 2
 
9.5%
숙박시설, 체육시설 1
 
4.8%
캐라반, 오토캠핑장, 공원 1
 
4.8%
부동산 임대시설 1
 
4.8%
복지사업 1
 
4.8%
문화시설 1
 
4.8%
문화, 체육시설 1
 
4.8%
환경사업 1
 
4.8%

Length

2023-12-12T12:25:32.690672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:25:32.921121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육시설 14
53.8%
숙박시설 3
 
11.5%
캐라반 1
 
3.8%
오토캠핑장 1
 
3.8%
공원 1
 
3.8%
부동산 1
 
3.8%
임대시설 1
 
3.8%
복지사업 1
 
3.8%
문화시설 1
 
3.8%
문화 1
 
3.8%

관리부서
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
생활체육팀
사업경영팀
교통복지팀
스포츠센터팀
시장경제팀

Length

Max length6
Median length5
Mean length5.1428571
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사업경영팀
2nd row사업경영팀
3rd row사업경영팀
4th row사업경영팀
5th row시장경제팀

Common Values

ValueCountFrequency (%)
생활체육팀 8
38.1%
사업경영팀 4
19.0%
교통복지팀 4
19.0%
스포츠센터팀 3
 
14.3%
시장경제팀 2
 
9.5%

Length

2023-12-12T12:25:33.158766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:25:33.348769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생활체육팀 8
38.1%
사업경영팀 4
19.0%
교통복지팀 4
19.0%
스포츠센터팀 3
 
14.3%
시장경제팀 2
 
9.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-08-24
21 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-24
2nd row2023-08-24
3rd row2023-08-24
4th row2023-08-24
5th row2023-08-24

Common Values

ValueCountFrequency (%)
2023-08-24 21
100.0%

Length

2023-12-12T12:25:33.533092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:25:33.668406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-24 21
100.0%

Correlations

2023-12-12T12:25:33.744611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업명칭주소대표 전화번호용도관리부서
사업명칭1.0001.0001.0001.0001.000
주소1.0001.0001.0000.1180.873
대표 전화번호1.0001.0001.0001.0001.000
용도1.0000.1181.0001.0000.839
관리부서1.0000.8731.0000.8391.000
2023-12-12T12:25:33.874338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
용도관리부서
용도1.0000.583
관리부서0.5831.000
2023-12-12T12:25:34.001776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
용도관리부서
용도1.0000.583
관리부서0.5831.000

Missing values

2023-12-12T12:25:29.987091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:25:30.165042image/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

사업명칭주소대표 전화번호용도관리부서데이터기준일자
0산장관광지가평군 상면 덕현산장길 71번길031-8078-8054숙박시설사업경영팀2023-08-24
1칼봉산자연휴양림가평군 가평읍 경반안로 454번길031-8078-8025숙박시설사업경영팀2023-08-24
2연인산다목적캠핑장가평군 북면 백둔로 441번길031-8078-8067숙박시설, 체육시설사업경영팀2023-08-24
3가평썰매장가평군 상면 깃대봉길 5~20번길031-8078-8051체육시설사업경영팀2023-08-24
4자라섬캠핑장가평군 가평읍 자라섬로 60번길031-8078-8028캐라반, 오토캠핑장, 공원시장경제팀2023-08-24
5창업경제타운가평군 가평읍 읍내리 405031-8078-8815부동산 임대시설시장경제팀2023-08-24
6교통약자이동지원센터가평군 가평읍 문화로 131031-8078-8121복지사업교통복지팀2023-08-24
7문화예술회관가평군 가평읍 문화로 131031-8078-8076문화시설교통복지팀2023-08-24
8여성비전센터가평군 가평읍 문화로 131031-8078-8081문화, 체육시설교통복지팀2023-08-24
9쓰레기종량제봉투판매가평군 가평읍 문화로 131031-8078-8072환경사업교통복지팀2023-08-24
사업명칭주소대표 전화번호용도관리부서데이터기준일자
11가평체육관가평군 가평읍 문화로 131031-8078-8085체육시설생활체육팀2023-08-24
12가평생활체육공원가평군 가평읍 문화로 131031-8078-8085체육시설생활체육팀2023-08-24
13가평종합운동장가평군 가평읍 문화로 131031-8078-8073체육시설생활체육팀2023-08-24
14축구전용구장가평군 가평읍 문화로 131031-8078-8073체육시설생활체육팀2023-08-24
15가평테니스장가평군 가평읍 문화로 131031-8078-8087체육시설생활체육팀2023-08-24
16가평야구장가평군 가평읍 대곡실 산10031-8078-8034체육시설생활체육팀2023-08-24
17설악야구장가평군 설악면 375-2031-8078-8126체육시설생활체육팀2023-08-24
18조종국민체육센터가평군 조종면 조종희망로 26번길 16031-8078-8093체육시설스포츠센터팀2023-08-24
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