Overview

Dataset statistics

Number of variables7
Number of observations387
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.0 KiB
Average record size in memory58.3 B

Variable types

Categorical3
DateTime4

Dataset

Description울산광역시 남구 구립도서관 현장학습 모집 현황에 대한 데이터로 도서관명, 접수시작일, 접수마감일, 최대수용인원 등의 항목을 제공합니다.
Author울산광역시 남구
URLhttps://www.data.go.kr/data/15039093/fileData.do

Alerts

허용가능팀수 has constant value ""Constant
도서관 구분 is highly overall correlated with 최대인원High correlation
최대인원 is highly overall correlated with 도서관 구분High correlation

Reproduction

Analysis started2023-12-12 23:20:22.910629
Analysis finished2023-12-12 23:20:23.403528
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도서관 구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
신복
118 
도산
117 
철새
61 
월봉
49 
옥현
42 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row신복
2nd row신복
3rd row신복
4th row옥현
5th row철새

Common Values

ValueCountFrequency (%)
신복 118
30.5%
도산 117
30.2%
철새 61
15.8%
월봉 49
12.7%
옥현 42
 
10.9%

Length

2023-12-13T08:20:23.471073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:20:23.598352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신복 118
30.5%
도산 117
30.2%
철새 61
15.8%
월봉 49
12.7%
옥현 42
 
10.9%

접수시작일
Date

Distinct8
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum2022-11-18 00:00:00
Maximum2023-08-30 00:00:00
2023-12-13T08:20:23.728932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:20:23.825460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

접수마감일
Date

Distinct10
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum2022-11-24 00:00:00
Maximum2023-12-31 00:00:00
2023-12-13T08:20:24.239506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:20:24.356024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

운영시작일
Date

Distinct126
Distinct (%)32.6%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum2001-06-23 00:00:00
Maximum2031-10-23 00:00:00
2023-12-13T08:20:24.509026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:20:24.662958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

운영마감일
Date

Distinct126
Distinct (%)32.6%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum2001-06-23 00:00:00
Maximum2031-10-23 00:00:00
2023-12-13T08:20:24.830113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:20:25.070660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

최대인원
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
15
326 
10
61 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row15
2nd row15
3rd row15
4th row15
5th row10

Common Values

ValueCountFrequency (%)
15 326
84.2%
10 61
 
15.8%

Length

2023-12-13T08:20:25.232993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:20:25.323397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
15 326
84.2%
10 61
 
15.8%

허용가능팀수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
1
387 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 387
100.0%

Length

2023-12-13T08:20:25.417450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:20:25.508703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 387
100.0%

Correlations

2023-12-13T08:20:25.573003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도서관 구분접수시작일접수마감일최대인원
도서관 구분1.0000.7640.9491.000
접수시작일0.7641.0001.0000.374
접수마감일0.9491.0001.0000.803
최대인원1.0000.3740.8031.000
2023-12-13T08:20:25.686371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도서관 구분최대인원
도서관 구분1.0000.996
최대인원0.9961.000
2023-12-13T08:20:25.765472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도서관 구분최대인원
도서관 구분1.0000.996
최대인원0.9961.000

Missing values

2023-12-13T08:20:23.250500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:20:23.354926image/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

도서관 구분접수시작일접수마감일운영시작일운영마감일최대인원허용가능팀수
0신복2023-03-022023-07-0523/04/1923/04/19151
1신복2023-03-022023-07-0523/05/2523/05/25151
2신복2023-03-022023-07-0523/05/1223/05/12151
3옥현2023-03-022023-07-0523/04/1323/04/13151
4철새2023-03-022023-07-0523/06/0123/06/01101
5신복2023-03-022023-07-0523/04/0423/04/04151
6신복2023-03-022023-07-0523/04/1823/04/18151
7신복2023-03-022023-07-0523/06/2023/06/20151
8신복2023-03-022023-07-0523/04/0523/04/05151
9신복2023-03-022023-07-0523/06/1523/06/15151
도서관 구분접수시작일접수마감일운영시작일운영마감일최대인원허용가능팀수
377도산2023-08-302023-12-0623/10/0523/10/05151
378도산2023-08-302023-12-0623/11/0323/11/03151
379월봉2023-08-182023-12-3123/10/1723/10/17151
380월봉2023-08-182023-12-3123/10/1023/10/10151
381월봉2023-08-182023-12-3123/11/2823/11/28151
382신복2023-08-292023-12-0123/10/2623/10/26151
383신복2023-08-292023-12-0123/11/0823/11/08151
384신복2023-08-292023-12-0123/11/2323/11/23151
385신복2023-08-292023-12-0123/10/0623/10/06151
386철새2023-08-302023-11-2923/11/2923/11/29101