Overview

Dataset statistics

Number of variables6
Number of observations151
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.8 KiB
Average record size in memory52.9 B

Variable types

Numeric4
Categorical2

Dataset

Description2011~2023년까지 송암미술관 월별 이용객 수를 제공합니다.* 매주 월요일, 공휴일 다음날은 휴관일입니다.* 2020년에 153일 임시휴관을 하였고, 1개의 프로그램을 제외한 모든 교육프로그램이 온라인으로 진행되었습니다.
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15078940&srcSe=7661IVAWM27C61E190

Alerts

유형(국립_도립_시립) has constant value ""Constant
미술관명 has constant value ""Constant
연번 is highly overall correlated with 연도High correlation
연도 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
이용객수 has 5 (3.3%) zerosZeros

Reproduction

Analysis started2024-01-28 15:08:30.637307
Analysis finished2024-01-28 15:08:32.134749
Duration1.5 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct151
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76
Minimum1
Maximum151
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-01-29T00:08:32.186713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.5
Q138.5
median76
Q3113.5
95-th percentile143.5
Maximum151
Range150
Interquartile range (IQR)75

Descriptive statistics

Standard deviation43.734045
Coefficient of variation (CV)0.57544796
Kurtosis-1.2
Mean76
Median Absolute Deviation (MAD)38
Skewness0
Sum11476
Variance1912.6667
MonotonicityStrictly increasing
2024-01-29T00:08:32.289680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
105 1
 
0.7%
98 1
 
0.7%
99 1
 
0.7%
100 1
 
0.7%
101 1
 
0.7%
102 1
 
0.7%
103 1
 
0.7%
104 1
 
0.7%
106 1
 
0.7%
Other values (141) 141
93.4%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
151 1
0.7%
150 1
0.7%
149 1
0.7%
148 1
0.7%
147 1
0.7%
146 1
0.7%
145 1
0.7%
144 1
0.7%
143 1
0.7%
142 1
0.7%

유형(국립_도립_시립)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
시립
151 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
시립 151
100.0%

Length

2024-01-29T00:08:32.389649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T00:08:32.467971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시립 151
100.0%

미술관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
송암미술관
151 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
송암미술관 151
100.0%

Length

2024-01-29T00:08:32.552971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T00:08:32.634733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
송암미술관 151
100.0%

연도
Real number (ℝ)

HIGH CORRELATION 

Distinct14
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2137.1391
Minimum2011
Maximum20190
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-01-29T00:08:32.704086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2011
5-th percentile2011
Q12014
median2017
Q32020
95-th percentile2022.5
Maximum20190
Range18179
Interquartile range (IQR)6

Descriptive statistics

Standard deviation1478.9196
Coefficient of variation (CV)0.69200907
Kurtosis150.99813
Mean2137.1391
Median Absolute Deviation (MAD)3
Skewness12.288092
Sum322708
Variance2187203.2
MonotonicityNot monotonic
2024-01-29T00:08:32.794640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2011 12
 
7.9%
2012 12
 
7.9%
2013 12
 
7.9%
2014 12
 
7.9%
2015 12
 
7.9%
2016 12
 
7.9%
2017 12
 
7.9%
2018 12
 
7.9%
2020 12
 
7.9%
2021 12
 
7.9%
Other values (4) 31
20.5%
ValueCountFrequency (%)
2011 12
7.9%
2012 12
7.9%
2013 12
7.9%
2014 12
7.9%
2015 12
7.9%
2016 12
7.9%
2017 12
7.9%
2018 12
7.9%
2019 11
7.3%
2020 12
7.9%
ValueCountFrequency (%)
20190 1
 
0.7%
2023 7
4.6%
2022 12
7.9%
2021 12
7.9%
2020 12
7.9%
2019 11
7.3%
2018 12
7.9%
2017 12
7.9%
2016 12
7.9%
2015 12
7.9%


Real number (ℝ)

Distinct12
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.384106
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-01-29T00:08:32.882173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q39
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.4503351
Coefficient of variation (CV)0.54045706
Kurtosis-1.2014501
Mean6.384106
Median Absolute Deviation (MAD)3
Skewness0.049627784
Sum964
Variance11.904812
MonotonicityNot monotonic
2024-01-29T00:08:32.976232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 13
8.6%
2 13
8.6%
3 13
8.6%
4 13
8.6%
5 13
8.6%
6 13
8.6%
7 13
8.6%
8 12
7.9%
9 12
7.9%
10 12
7.9%
Other values (2) 24
15.9%
ValueCountFrequency (%)
1 13
8.6%
2 13
8.6%
3 13
8.6%
4 13
8.6%
5 13
8.6%
6 13
8.6%
7 13
8.6%
8 12
7.9%
9 12
7.9%
10 12
7.9%
ValueCountFrequency (%)
12 12
7.9%
11 12
7.9%
10 12
7.9%
9 12
7.9%
8 12
7.9%
7 13
8.6%
6 13
8.6%
5 13
8.6%
4 13
8.6%
3 13
8.6%

이용객수
Real number (ℝ)

ZEROS 

Distinct142
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1129.6623
Minimum0
Maximum4787
Zeros5
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-01-29T00:08:33.071874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile194.5
Q1616.5
median1018
Q31480.5
95-th percentile2596
Maximum4787
Range4787
Interquartile range (IQR)864

Descriptive statistics

Standard deviation741.87558
Coefficient of variation (CV)0.65672335
Kurtosis4.1532993
Mean1129.6623
Median Absolute Deviation (MAD)437
Skewness1.4750271
Sum170579
Variance550379.37
MonotonicityNot monotonic
2024-01-29T00:08:33.179306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
3.3%
767 3
 
2.0%
1230 2
 
1.3%
759 2
 
1.3%
1279 2
 
1.3%
1846 1
 
0.7%
460 1
 
0.7%
451 1
 
0.7%
571 1
 
0.7%
1392 1
 
0.7%
Other values (132) 132
87.4%
ValueCountFrequency (%)
0 5
3.3%
25 1
 
0.7%
158 1
 
0.7%
168 1
 
0.7%
221 1
 
0.7%
230 1
 
0.7%
242 1
 
0.7%
277 1
 
0.7%
285 1
 
0.7%
305 1
 
0.7%
ValueCountFrequency (%)
4787 1
0.7%
3394 1
0.7%
3251 1
0.7%
3218 1
0.7%
3044 1
0.7%
2930 1
0.7%
2909 1
0.7%
2773 1
0.7%
2419 1
0.7%
2145 1
0.7%

Interactions

2024-01-29T00:08:31.705261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:08:30.760369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:08:31.096790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:08:31.406289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:08:31.780017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:08:30.845644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:08:31.179232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:08:31.480705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:08:31.852260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:08:30.944542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:08:31.263303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:08:31.550990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:08:31.937040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:08:31.024107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:08:31.335443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:08:31.622938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-29T00:08:33.247832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번연도이용객수
연번1.0000.0000.0000.309
연도0.0001.0000.1470.000
0.0000.1471.0000.494
이용객수0.3090.0000.4941.000
2024-01-29T00:08:33.318215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번연도이용객수
연번1.0000.9920.022-0.260
연도0.9921.000-0.060-0.279
0.022-0.0601.0000.336
이용객수-0.260-0.2790.3361.000

Missing values

2024-01-29T00:08:32.019603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T00:08:32.103733image/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

연번유형(국립_도립_시립)미술관명연도이용객수
01시립송암미술관201111034
12시립송암미술관20112538
23시립송암미술관20113285
34시립송암미술관20114421
45시립송암미술관201151675
56시립송암미술관201161795
67시립송암미술관201171320
78시립송암미술관201183394
89시립송암미술관20119954
910시립송암미술관2011101385
연번유형(국립_도립_시립)미술관명연도이용객수
141142시립송암미술관202210993
142143시립송암미술관2022111279
143144시립송암미술관202212767
144145시립송암미술관20231569
145146시립송암미술관20232965
146147시립송암미술관202331180
147148시립송암미술관202341829
148149시립송암미술관202351555
149150시립송암미술관202360
150151시립송암미술관202370