Overview

Dataset statistics

Number of variables2
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory780.0 B
Average record size in memory21.7 B

Variable types

Numeric2

Dataset

Description등록번호,관리번호
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-21193/S/1/datasetView.do

Alerts

등록번호 is highly overall correlated with 관리번호High correlation
관리번호 is highly overall correlated with 등록번호High correlation
관리번호 has unique valuesUnique

Reproduction

Analysis started2024-05-11 08:00:51.739883
Analysis finished2024-05-11 08:00:53.892801
Duration2.15 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Real number (ℝ)

HIGH CORRELATION 

Distinct33
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1491.3889
Minimum9
Maximum1779
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-05-11T08:00:54.235737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile41.5
Q11540.5
median1595
Q31695
95-th percentile1778.25
Maximum1779
Range1770
Interquartile range (IQR)154.5

Descriptive statistics

Standard deviation460.4632
Coefficient of variation (CV)0.30874791
Kurtosis7.2627589
Mean1491.3889
Median Absolute Deviation (MAD)66.5
Skewness-2.8678614
Sum53690
Variance212026.36
MonotonicityNot monotonic
2024-05-11T08:00:55.066440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1415 2
 
5.6%
1779 2
 
5.6%
1759 2
 
5.6%
1767 1
 
2.8%
1778 1
 
2.8%
1545 1
 
2.8%
1763 1
 
2.8%
1760 1
 
2.8%
1418 1
 
2.8%
1685 1
 
2.8%
Other values (23) 23
63.9%
ValueCountFrequency (%)
9 1
2.8%
13 1
2.8%
51 1
2.8%
1415 2
5.6%
1418 1
2.8%
1528 1
2.8%
1529 1
2.8%
1530 1
2.8%
1544 1
2.8%
1545 1
2.8%
ValueCountFrequency (%)
1779 2
5.6%
1778 1
2.8%
1767 1
2.8%
1763 1
2.8%
1760 1
2.8%
1759 2
5.6%
1725 1
2.8%
1685 1
2.8%
1662 1
2.8%
1661 1
2.8%

관리번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1832.2222
Minimum14
Maximum2215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-05-11T08:00:55.555990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile56
Q11860.5
median1962
Q32142.75
95-th percentile2212.5
Maximum2215
Range2201
Interquartile range (IQR)282.25

Descriptive statistics

Standard deviation576.63596
Coefficient of variation (CV)0.31471945
Kurtosis6.3481227
Mean1832.2222
Median Absolute Deviation (MAD)115.5
Skewness-2.6558081
Sum65960
Variance332509.03
MonotonicityNot monotonic
2024-05-11T08:00:56.018195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1571 1
 
2.8%
1929 1
 
2.8%
2061 1
 
2.8%
1848 1
 
2.8%
1849 1
 
2.8%
1850 1
 
2.8%
1937 1
 
2.8%
2132 1
 
2.8%
2193 1
 
2.8%
2194 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
14 1
2.8%
35 1
2.8%
63 1
2.8%
1571 1
2.8%
1572 1
2.8%
1580 1
2.8%
1848 1
2.8%
1849 1
2.8%
1850 1
2.8%
1864 1
2.8%
ValueCountFrequency (%)
2215 1
2.8%
2214 1
2.8%
2212 1
2.8%
2207 1
2.8%
2199 1
2.8%
2195 1
2.8%
2194 1
2.8%
2193 1
2.8%
2175 1
2.8%
2132 1
2.8%

Interactions

2024-05-11T08:00:52.733376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:00:51.903260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:00:53.178433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:00:52.389138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T08:00:56.297130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록번호관리번호
등록번호1.0001.000
관리번호1.0001.000
2024-05-11T08:00:56.571533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록번호관리번호
등록번호1.0000.992
관리번호0.9921.000

Missing values

2024-05-11T08:00:53.552392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T08:00:53.772560image/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

등록번호관리번호
014151571
114151572
214181580
315731925
415941959
515961961
615981963
716562064
816572067
915441864
등록번호관리번호
2616852132
2717592193
2817592194
2917602195
3017632199
3115451865
3217782212
3317792214
3417792215
3517672207