Overview

Dataset statistics

Number of variables5
Number of observations82
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory42.6 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description부산광역시_사상구_평생교육시설현황_20230915
Author부산광역시 사상구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15034130

Alerts

연번 is highly overall correlated with 기관유형High correlation
기관유형 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
기관명 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:43:20.196885
Analysis finished2023-12-10 16:43:20.854965
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct82
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.5
Minimum1
Maximum82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2023-12-11T01:43:20.937160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.05
Q121.25
median41.5
Q361.75
95-th percentile77.95
Maximum82
Range81
Interquartile range (IQR)40.5

Descriptive statistics

Standard deviation23.815261
Coefficient of variation (CV)0.57386172
Kurtosis-1.2
Mean41.5
Median Absolute Deviation (MAD)20.5
Skewness0
Sum3403
Variance567.16667
MonotonicityStrictly increasing
2023-12-11T01:43:21.131690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
63 1
 
1.2%
61 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
55 1
 
1.2%
54 1
 
1.2%
Other values (72) 72
87.8%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
82 1
1.2%
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%
75 1
1.2%
74 1
1.2%
73 1
1.2%

기관유형
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size788.0 B
학교
40 
행정복지센터
12 
공공기관
10 
기타
10 
사회복지시설
9 

Length

Max length6
Median length2
Mean length3.2804878
Min length2

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
학교 40
48.8%
행정복지센터 12
 
14.6%
공공기관 10
 
12.2%
기타 10
 
12.2%
사회복지시설 9
 
11.0%
수련관 1
 
1.2%

Length

2023-12-11T01:43:21.325940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:43:21.458625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학교 40
48.8%
행정복지센터 12
 
14.6%
공공기관 10
 
12.2%
기타 10
 
12.2%
사회복지시설 9
 
11.0%
수련관 1
 
1.2%

기관명
Text

UNIQUE 

Distinct82
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size788.0 B
2023-12-11T01:43:21.741889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length7.7073171
Min length4

Characters and Unicode

Total characters632
Distinct characters122
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)100.0%

Sample

1st row부산광역시청소년종합지원센터
2nd row부산점자도서관
3rd row사상도서관
4th row사상구청
5th row사상구보건소
ValueCountFrequency (%)
행정복지센터 11
 
11.2%
평생교육원 2
 
2.0%
문화센터 2
 
2.0%
부산광역시청소년종합지원센터 1
 
1.0%
경남정보대학교 1
 
1.0%
동궁초등학교 1
 
1.0%
엄궁중학교 1
 
1.0%
학장초등학교 1
 
1.0%
구학초등학교 1
 
1.0%
구덕고등학교 1
 
1.0%
Other values (76) 76
77.6%
2023-12-11T01:43:22.226008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 50
 
7.9%
교 46
 
7.3%
등 24
 
3.8%
초 20
 
3.2%
지 20
 
3.2%
센 20
 
3.2%
터 19
 
3.0%
동 17
 
2.7%
복 17
 
2.7%
사 17
 
2.7%
Other values (112) 382
60.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 609
96.4%
Space Separator 16
 
2.5%
Decimal Number 7
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 50
 
8.2%
교 46
 
7.6%
등 24
 
3.9%
초 20
 
3.3%
지 20
 
3.3%
센 20
 
3.3%
터 19
 
3.1%
동 17
 
2.8%
복 17
 
2.8%
사 17
 
2.8%
Other values (108) 359
58.9%
Decimal Number
ValueCountFrequency (%)
1 3
42.9%
3 2
28.6%
2 2
28.6%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 609
96.4%
Common 23
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 50
 
8.2%
교 46
 
7.6%
등 24
 
3.9%
초 20
 
3.3%
지 20
 
3.3%
센 20
 
3.3%
터 19
 
3.1%
동 17
 
2.8%
복 17
 
2.8%
사 17
 
2.8%
Other values (108) 359
58.9%
Common
ValueCountFrequency (%)
16
69.6%
1 3
 
13.0%
3 2
 
8.7%
2 2
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 609
96.4%
ASCII 23
 
3.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 50
 
8.2%
교 46
 
7.6%
등 24
 
3.9%
초 20
 
3.3%
지 20
 
3.3%
센 20
 
3.3%
터 19
 
3.1%
동 17
 
2.8%
복 17
 
2.8%
사 17
 
2.8%
Other values (108) 359
58.9%
ASCII
ValueCountFrequency (%)
16
69.6%
1 3
 
13.0%
3 2
 
8.7%
2 2
 
8.7%

소재지
Text

Distinct79
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size788.0 B
2023-12-11T01:43:22.592817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length21
Mean length16.841463
Min length10

Characters and Unicode

Total characters1381
Distinct characters58
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)92.7%

Sample

1st row부산 사상구 모덕로 82
2nd row부산 사상구 덕상로 72번길 9
3rd row부산 사상구 덕상로 72번길 9
4th row부산 사상구 학감대로 242
5th row부산 사상구 학감대로 242
ValueCountFrequency (%)
부산 82
22.2%
사상구 82
22.2%
모라로 10
 
2.7%
학감대로 9
 
2.4%
백양대로 9
 
2.4%
사상로 8
 
2.2%
가야대로 7
 
1.9%
삼덕로 5
 
1.4%
덕상로 5
 
1.4%
110번길 4
 
1.1%
Other values (112) 148
40.1%
2023-12-11T01:43:23.126958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
287
20.8%
상 95
 
6.9%
사 90
 
6.5%
산 83
 
6.0%
부 82
 
5.9%
구 82
 
5.9%
로 81
 
5.9%
1 57
 
4.1%
2 49
 
3.5%
길 42
 
3.0%
Other values (48) 433
31.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 778
56.3%
Decimal Number 306
 
22.2%
Space Separator 287
 
20.8%
Dash Punctuation 8
 
0.6%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 95
12.2%
사 90
11.6%
산 83
10.7%
부 82
10.5%
구 82
10.5%
로 81
10.4%
길 42
 
5.4%
번 42
 
5.4%
대 32
 
4.1%
감 11
 
1.4%
Other values (34) 138
17.7%
Decimal Number
ValueCountFrequency (%)
1 57
18.6%
2 49
16.0%
9 34
11.1%
3 33
10.8%
0 30
9.8%
6 24
7.8%
7 22
 
7.2%
5 22
 
7.2%
4 21
 
6.9%
8 14
 
4.6%
Space Separator
ValueCountFrequency (%)
287
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 778
56.3%
Common 603
43.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 95
12.2%
사 90
11.6%
산 83
10.7%
부 82
10.5%
구 82
10.5%
로 81
10.4%
길 42
 
5.4%
번 42
 
5.4%
대 32
 
4.1%
감 11
 
1.4%
Other values (34) 138
17.7%
Common
ValueCountFrequency (%)
287
47.6%
1 57
 
9.5%
2 49
 
8.1%
9 34
 
5.6%
3 33
 
5.5%
0 30
 
5.0%
6 24
 
4.0%
7 22
 
3.6%
5 22
 
3.6%
4 21
 
3.5%
Other values (4) 24
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 778
56.3%
ASCII 603
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
287
47.6%
1 57
 
9.5%
2 49
 
8.1%
9 34
 
5.6%
3 33
 
5.5%
0 30
 
5.0%
6 24
 
4.0%
7 22
 
3.6%
5 22
 
3.6%
4 21
 
3.5%
Other values (4) 24
 
4.0%
Hangul
ValueCountFrequency (%)
상 95
12.2%
사 90
11.6%
산 83
10.7%
부 82
10.5%
구 82
10.5%
로 81
10.4%
길 42
 
5.4%
번 42
 
5.4%
대 32
 
4.1%
감 11
 
1.4%
Other values (34) 138
17.7%

연락처
Text

UNIQUE 

Distinct82
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size788.0 B
2023-12-11T01:43:23.502037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.97561
Min length9

Characters and Unicode

Total characters982
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

Unique82 ?
Unique (%)100.0%

Sample

1st row051-303-9675
2nd row051-302-9010
3rd row051-310-7971
4th row051-310-4000
5th row051-310-4791
ValueCountFrequency (%)
051-303-9675 1
 
1.2%
051-327-8522 1
 
1.2%
051-311-2621 1
 
1.2%
051-320-5701 1
 
1.2%
051-313-3893 1
 
1.2%
051-320-9200 1
 
1.2%
051-311-4933 1
 
1.2%
051-322-0056 1
 
1.2%
051-320-2075 1
 
1.2%
051-320-1919 1
 
1.2%
Other values (72) 72
87.8%
2023-12-11T01:43:23.996987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 208
21.2%
- 163
16.6%
1 156
15.9%
3 123
12.5%
5 112
11.4%
2 61
 
6.2%
9 39
 
4.0%
4 35
 
3.6%
7 32
 
3.3%
6 30
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 819
83.4%
Dash Punctuation 163
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 208
25.4%
1 156
19.0%
3 123
15.0%
5 112
13.7%
2 61
 
7.4%
9 39
 
4.8%
4 35
 
4.3%
7 32
 
3.9%
6 30
 
3.7%
8 23
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 163
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 982
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 208
21.2%
- 163
16.6%
1 156
15.9%
3 123
12.5%
5 112
11.4%
2 61
 
6.2%
9 39
 
4.0%
4 35
 
3.6%
7 32
 
3.3%
6 30
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 982
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 208
21.2%
- 163
16.6%
1 156
15.9%
3 123
12.5%
5 112
11.4%
2 61
 
6.2%
9 39
 
4.0%
4 35
 
3.6%
7 32
 
3.3%
6 30
 
3.1%

Interactions

2023-12-11T01:43:20.519181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:43:24.123018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기관유형기관명소재지연락처
연번1.0000.9111.0000.9831.000
기관유형0.9111.0001.0000.9851.000
기관명1.0001.0001.0001.0001.000
소재지0.9830.9851.0001.0001.000
연락처1.0001.0001.0001.0001.000
2023-12-11T01:43:24.250466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기관유형
연번1.0000.758
기관유형0.7581.000

Missing values

2023-12-11T01:43:20.678217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:43:20.812369image/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

연번기관유형기관명소재지연락처
01공공기관부산광역시청소년종합지원센터부산 사상구 모덕로 82051-303-9675
12공공기관부산점자도서관부산 사상구 덕상로 72번길 9051-302-9010
23공공기관사상도서관부산 사상구 덕상로 72번길 9051-310-7971
34공공기관사상구청부산 사상구 학감대로 242051-310-4000
45공공기관사상구보건소부산 사상구 학감대로 242051-310-4791
56공공기관사상평생학습관부산 사상구 새벽로 168번길 61051-310-3242
67공공기관사상문화원부산 사상구 가야대로 196번길 51(다누림센터2층)051-316-9111
78공공기관부산광역시노인건강센터부산 사상구 학감대로 39번길 129051-325-7500
89공공기관부산광역시여성문화회관부산 사상구 학감대로 95051-320-8332
910공공기관모라평생학습관부산 사상구 모라로 93051-310-5244
연번기관유형기관명소재지연락처
7273기타한국평생교육원부산 사상구 운산로 29051-305-5565
7374기타사상여성인력개발센터부산 사상구 광장로 76051-326-7600
7475기타울타리가정폭력상담소부산 사상구 광장로 99051-325-0064
7576기타한상직업전문학교부산 사상구 사상로 236051-312-9200
7677기타삼성홈플러스 문화센터부산 사상구 광장로 7051-319-9147
7778기타부산시민소포츠센타부산 사상구 학장로 324번길 8051-314-3360
7879기타정향효마을부산 사상구 엄궁북로 4번길 39051-322-1233
7980기타한국산업직업전문학교부산 사상구 대동로 2-12051-328-3473
8081기타롯데마트 문화센터 사상점부산 사상구 낙동대로 733051-329-2590
8182기타리더스원격평생교육원부산 사상구 주례동1661-6726