Overview

Dataset statistics

Number of variables2
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory672.0 B
Average record size in memory22.4 B

Variable types

Numeric2

Dataset

Description샘플 데이터
Author신한카드
URLhttps://bigdata.seoul.go.kr/data/selectSampleData.do?sample_data_seq=3

Alerts

거주지_집계구단위(residence) has unique valuesUnique

Reproduction

Analysis started2023-12-10 15:03:04.747796
Analysis finished2023-12-10 15:03:06.170584
Duration1.42 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

거주지_집계구단위(residence)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1135646 × 1012
Minimum1.101064 × 1012
Maximum1.12507 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:03:06.322776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.101064 × 1012
5-th percentile1.1039652 × 1012
Q11.1080825 × 1012
median1.1140695 × 1012
Q31.1185696 × 1012
95-th percentile1.123617 × 1012
Maximum1.12507 × 1012
Range2.400602 × 1010
Interquartile range (IQR)1.048705 × 1010

Descriptive statistics

Standard deviation6.5900827 × 109
Coefficient of variation (CV)0.0059180069
Kurtosis-0.91931357
Mean1.1135646 × 1012
Median Absolute Deviation (MAD)5.986515 × 109
Skewness-0.014636751
Sum3.3406937 × 1013
Variance4.342919 × 1019
MonotonicityNot monotonic
2023-12-11T00:03:06.575724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1117056030001 1
 
3.3%
1123067030002 1
 
3.3%
1108064020002 1
 
3.3%
1120071040007 1
 
3.3%
1101064020006 1
 
3.3%
1114076070001 1
 
3.3%
1103071020002 1
 
3.3%
1116064050802 1
 
3.3%
1125070040003 1
 
3.3%
1112058010014 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1101064020006 1
3.3%
1103071020002 1
3.3%
1105058030001 1
3.3%
1105060020005 1
3.3%
1106072050101 1
3.3%
1107057010004 1
3.3%
1108064020002 1
3.3%
1108082010013 1
3.3%
1108084040002 1
3.3%
1109065030008 1
3.3%
ValueCountFrequency (%)
1125070040003 1
3.3%
1124067010015 1
3.3%
1123067030002 1
3.3%
1122057010007 1
3.3%
1121072020010 1
3.3%
1121062020012 1
3.3%
1120071040007 1
3.3%
1119074080001 1
3.3%
1117056030001 1
3.3%
1116064050802 1
3.3%
Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7333333
Minimum2
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:03:06.849229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median4
Q36.5
95-th percentile11
Maximum11
Range9
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation2.9703516
Coefficient of variation (CV)0.62753907
Kurtosis-0.074387382
Mean4.7333333
Median Absolute Deviation (MAD)2
Skewness1.0562713
Sum142
Variance8.8229885
MonotonicityNot monotonic
2023-12-11T00:03:07.059540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 9
30.0%
4 8
26.7%
3 3
 
10.0%
11 3
 
10.0%
5 2
 
6.7%
9 2
 
6.7%
7 2
 
6.7%
8 1
 
3.3%
ValueCountFrequency (%)
2 9
30.0%
3 3
 
10.0%
4 8
26.7%
5 2
 
6.7%
7 2
 
6.7%
8 1
 
3.3%
9 2
 
6.7%
11 3
 
10.0%
ValueCountFrequency (%)
11 3
 
10.0%
9 2
 
6.7%
8 1
 
3.3%
7 2
 
6.7%
5 2
 
6.7%
4 8
26.7%
3 3
 
10.0%
2 9
30.0%

Interactions

2023-12-11T00:03:05.382259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T00:03:04.878310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T00:03:05.628236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T00:03:05.119985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T00:03:07.209539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
거주지_집계구단위(residence)장애인수(disabled_cnt)
거주지_집계구단위(residence)1.0000.473
장애인수(disabled_cnt)0.4731.000
2023-12-11T00:03:07.375716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
거주지_집계구단위(residence)장애인수(disabled_cnt)
거주지_집계구단위(residence)1.000-0.029
장애인수(disabled_cnt)-0.0291.000

Missing values

2023-12-11T00:03:05.946446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T00:03:06.101128image/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

거주지_집계구단위(residence)장애인수(disabled_cnt)
011170560300015
111150590300152
211210620200123
311160510107012
4110808201001311
5111205503000611
6112205701000711
711120590100039
811050580300017
911070570100044
거주지_집계구단위(residence)장애인수(disabled_cnt)
2011150630200014
2111110560400089
2211120580100142
2311250700400034
2411160640508023
2511030710200022
2611140760700012
2711010640200062
2811200710400074
2911080640200024