Overview

Dataset statistics

Number of variables4
Number of observations49
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory36.7 B

Variable types

DateTime1
Categorical1
Numeric2

Dataset

Description도봉구 관내 공립 박물과 이용자 현황 - 년월, 박물관명, 유료/무료 이용자 수
Author서울특별시 도봉구
URLhttps://www.data.go.kr/data/15037800/fileData.do

Alerts

박물관명 has constant value ""Constant
년월 has unique valuesUnique
유료 입장 인원 has unique valuesUnique
무료 입장 인원 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:10:03.628863
Analysis finished2023-12-12 04:10:04.282054
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년월
Date

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
Minimum2015-07-01 00:00:00
Maximum2019-07-01 00:00:00
2023-12-12T13:10:04.676165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:10:04.834413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)

박물관명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
둘리뮤지엄
49 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
둘리뮤지엄 49
100.0%

Length

2023-12-12T13:10:04.999650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:10:05.094388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
둘리뮤지엄 49
100.0%

유료 입장 인원
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5431.7347
Minimum2481
Maximum12608
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T13:10:05.205555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2481
5-th percentile3985
Q14623
median5184
Q35757
95-th percentile7168.8
Maximum12608
Range10127
Interquartile range (IQR)1134

Descriptive statistics

Standard deviation1462.9845
Coefficient of variation (CV)0.26934021
Kurtosis11.500958
Mean5431.7347
Median Absolute Deviation (MAD)573
Skewness2.4458077
Sum266155
Variance2140323.8
MonotonicityNot monotonic
2023-12-12T13:10:05.358242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
2481 1
 
2.0%
7220 1
 
2.0%
5721 1
 
2.0%
5184 1
 
2.0%
5107 1
 
2.0%
5532 1
 
2.0%
4967 1
 
2.0%
4999 1
 
2.0%
4558 1
 
2.0%
5826 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
2481 1
2.0%
3122 1
2.0%
3961 1
2.0%
4021 1
2.0%
4192 1
2.0%
4195 1
2.0%
4361 1
2.0%
4371 1
2.0%
4402 1
2.0%
4523 1
2.0%
ValueCountFrequency (%)
12608 1
2.0%
7988 1
2.0%
7220 1
2.0%
7092 1
2.0%
6911 1
2.0%
6870 1
2.0%
6830 1
2.0%
6608 1
2.0%
6026 1
2.0%
5960 1
2.0%

무료 입장 인원
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1551.2245
Minimum451
Maximum4936
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T13:10:05.503199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451
5-th percentile573.6
Q1955
median1592
Q31867
95-th percentile2639.4
Maximum4936
Range4485
Interquartile range (IQR)912

Descriptive statistics

Standard deviation782.73679
Coefficient of variation (CV)0.50459285
Kurtosis6.1277027
Mean1551.2245
Median Absolute Deviation (MAD)420
Skewness1.599801
Sum76010
Variance612676.89
MonotonicityNot monotonic
2023-12-12T13:10:05.653325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
4936 1
 
2.0%
2289 1
 
2.0%
2121 1
 
2.0%
1891 1
 
2.0%
1875 1
 
2.0%
1732 1
 
2.0%
1552 1
 
2.0%
1867 1
 
2.0%
1775 1
 
2.0%
2055 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
451 1
2.0%
529 1
2.0%
564 1
2.0%
588 1
2.0%
594 1
2.0%
622 1
2.0%
637 1
2.0%
659 1
2.0%
683 1
2.0%
721 1
2.0%
ValueCountFrequency (%)
4936 1
2.0%
2940 1
2.0%
2873 1
2.0%
2289 1
2.0%
2171 1
2.0%
2134 1
2.0%
2121 1
2.0%
2081 1
2.0%
2055 1
2.0%
2012 1
2.0%

Interactions

2023-12-12T13:10:03.945341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:10:03.731765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:10:04.047149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:10:03.848260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:10:05.752238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년월유료 입장 인원무료 입장 인원
년월1.0001.0001.000
유료 입장 인원1.0001.0000.628
무료 입장 인원1.0000.6281.000
2023-12-12T13:10:05.887934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유료 입장 인원무료 입장 인원
유료 입장 인원1.0000.207
무료 입장 인원0.2071.000

Missing values

2023-12-12T13:10:04.167616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:10:04.247838image/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

년월박물관명유료 입장 인원무료 입장 인원
02015-07둘리뮤지엄24814936
12015-08둘리뮤지엄12608955
22015-09둘리뮤지엄6911860
32015-10둘리뮤지엄6026564
42015-11둘리뮤지엄5479721
52015-12둘리뮤지엄5453594
62016-01둘리뮤지엄5960622
72016-02둘리뮤지엄5105588
82016-03둘리뮤지엄4021451
92016-04둘리뮤지엄4552659
년월박물관명유료 입장 인원무료 입장 인원
392018-10둘리뮤지엄41921584
402018-11둘리뮤지엄39611445
412018-12둘리뮤지엄41951521
422019-01둘리뮤지엄56861574
432019-02둘리뮤지엄55251606
442019-03둘리뮤지엄51671674
452019-04둘리뮤지엄31221089
462019-05둘리뮤지엄47401531
472019-06둘리뮤지엄45231470
482019-07둘리뮤지엄51391731