Overview

Dataset statistics

Number of variables3
Number of observations169
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory26.8 B

Variable types

DateTime1
Numeric2

Dataset

Description충청남도 홈페이지의 회원가입현황으로써 월별 가입자 수 데이터 입니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=377&beforeMenuCd=DOM_000000201001001000&publicdatapk=15063379

Alerts

가입건수 is highly overall correlated with 누적가입자수 High correlation
누적가입자수 is highly overall correlated with 가입건수High correlation
년월 has unique valuesUnique
누적가입자수 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:05:26.931445
Analysis finished2024-01-09 20:05:27.678674
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년월
Date

UNIQUE 

Distinct169
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2008-07-01 00:00:00
Maximum2022-07-01 00:00:00
2024-01-10T05:05:27.768697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:05:27.937974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

가입건수
Real number (ℝ)

HIGH CORRELATION 

Distinct114
Distinct (%)67.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.30178
Minimum1
Maximum764
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-01-10T05:05:28.102205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.4
Q122
median88
Q3165
95-th percentile306
Maximum764
Range763
Interquartile range (IQR)143

Descriptive statistics

Standard deviation109.31844
Coefficient of variation (CV)1.0001525
Kurtosis6.9203009
Mean109.30178
Median Absolute Deviation (MAD)67
Skewness1.917068
Sum18472
Variance11950.521
MonotonicityNot monotonic
2024-01-10T05:05:28.292776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 6
 
3.6%
21 5
 
3.0%
1 5
 
3.0%
9 5
 
3.0%
25 4
 
2.4%
33 4
 
2.4%
12 3
 
1.8%
40 3
 
1.8%
19 3
 
1.8%
143 3
 
1.8%
Other values (104) 128
75.7%
ValueCountFrequency (%)
1 5
3.0%
4 1
 
0.6%
5 1
 
0.6%
6 1
 
0.6%
7 1
 
0.6%
8 1
 
0.6%
9 5
3.0%
10 1
 
0.6%
11 1
 
0.6%
12 3
1.8%
ValueCountFrequency (%)
764 1
0.6%
438 1
0.6%
395 1
0.6%
357 1
0.6%
339 1
0.6%
324 1
0.6%
316 1
0.6%
309 1
0.6%
306 2
1.2%
300 1
0.6%

누적가입자수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct169
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5704.8225
Minimum1
Maximum18472
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-01-10T05:05:28.473879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile877.6
Q11668
median3269
Q38902
95-th percentile16017.6
Maximum18472
Range18471
Interquartile range (IQR)7234

Descriptive statistics

Standard deviation5058.9461
Coefficient of variation (CV)0.88678414
Kurtosis-0.3310852
Mean5704.8225
Median Absolute Deviation (MAD)2147
Skewness0.95281426
Sum964115
Variance25592935
MonotonicityStrictly decreasing
2024-01-10T05:05:28.673383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18472 1
 
0.6%
1901 1
 
0.6%
2187 1
 
0.6%
2138 1
 
0.6%
2109 1
 
0.6%
2080 1
 
0.6%
1992 1
 
0.6%
1958 1
 
0.6%
1933 1
 
0.6%
1920 1
 
0.6%
Other values (159) 159
94.1%
ValueCountFrequency (%)
1 1
0.6%
765 1
0.6%
766 1
0.6%
767 1
0.6%
768 1
0.6%
769 1
0.6%
774 1
0.6%
783 1
0.6%
842 1
0.6%
931 1
0.6%
ValueCountFrequency (%)
18472 1
0.6%
18220 1
0.6%
17939 1
0.6%
17501 1
0.6%
17195 1
0.6%
16838 1
0.6%
16522 1
0.6%
16326 1
0.6%
16112 1
0.6%
15876 1
0.6%

Interactions

2024-01-10T05:05:27.272674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:05:27.026232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:05:27.393608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:05:27.153235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:05:28.831602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
가입건수누적가입자수
가입건수1.0000.712
누적가입자수0.7121.000
2024-01-10T05:05:28.937329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
가입건수누적가입자수
가입건수1.0000.849
누적가입자수0.8491.000

Missing values

2024-01-10T05:05:27.548070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:05:27.641868image/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

년월가입건수누적가입자수
02022-0725218472
12022-0628118220
22022-0543817939
32022-0430617501
42022-0335717195
52022-0231616838
62022-0119616522
72021-1221416326
82021-1123616112
92021-1020115876
년월가입건수누적가입자수
1592009-0489931
1602009-0359842
1612009-029783
1622009-015774
1632008-121769
1642008-111768
1652008-101767
1662008-091766
1672008-08764765
1682008-0711