Overview

Dataset statistics

Number of variables3
Number of observations181
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.7 KiB
Average record size in memory26.7 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 20:05:33.121717
Analysis finished2024-01-09 20:05:33.824455
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년월
Date

UNIQUE 

Distinct181
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2008-07-31 00:00:00
Maximum2023-07-31 00:00:00
2024-01-10T05:05:33.909590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:05:34.090140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

가입건수
Real number (ℝ)

HIGH CORRELATION 

Distinct121
Distinct (%)66.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.42541
Minimum1
Maximum764
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-01-10T05:05:34.270418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q124
median94
Q3166
95-th percentile306
Maximum764
Range763
Interquartile range (IQR)142

Descriptive statistics

Standard deviation107.17017
Coefficient of variation (CV)0.94485149
Kurtosis6.7364382
Mean113.42541
Median Absolute Deviation (MAD)72
Skewness1.8079883
Sum20530
Variance11485.446
MonotonicityNot monotonic
2024-01-10T05:05:34.451071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 6
 
3.3%
9 5
 
2.8%
1 5
 
2.8%
21 5
 
2.8%
33 4
 
2.2%
214 4
 
2.2%
25 4
 
2.2%
12 3
 
1.7%
19 3
 
1.7%
22 3
 
1.7%
Other values (111) 139
76.8%
ValueCountFrequency (%)
1 5
2.8%
4 1
 
0.6%
5 1
 
0.6%
6 1
 
0.6%
7 1
 
0.6%
8 1
 
0.6%
9 5
2.8%
10 1
 
0.6%
11 1
 
0.6%
12 3
1.7%
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
1.1%
300 1
0.6%

누적가입자수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct181
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6624.9779
Minimum1
Maximum20530
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-01-10T05:05:34.636730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile931
Q11754
median3877
Q310682
95-th percentile19066
Maximum20530
Range20529
Interquartile range (IQR)8928

Descriptive statistics

Standard deviation5991.5473
Coefficient of variation (CV)0.90438751
Kurtosis-0.47418975
Mean6624.9779
Median Absolute Deviation (MAD)2755
Skewness0.90744688
Sum1199121
Variance35898639
MonotonicityStrictly decreasing
2024-01-10T05:05:34.831470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20530 1
 
0.6%
2317 1
 
0.6%
2275 1
 
0.6%
2258 1
 
0.6%
2241 1
 
0.6%
2220 1
 
0.6%
2187 1
 
0.6%
2138 1
 
0.6%
2109 1
 
0.6%
2080 1
 
0.6%
Other values (171) 171
94.5%
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 (%)
20530 1
0.6%
20374 1
0.6%
20163 1
0.6%
19944 1
0.6%
19811 1
0.6%
19597 1
0.6%
19458 1
0.6%
19326 1
0.6%
19187 1
0.6%
19066 1
0.6%

Interactions

2024-01-10T05:05:33.439717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:05:33.201344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:05:33.561378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:05:33.331469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:05:34.946571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
가입건수누적가입자수
가입건수1.0000.702
누적가입자수0.7021.000
2024-01-10T05:05:35.052875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
가입건수누적가입자수
가입건수1.0000.836
누적가입자수0.8361.000

Missing values

2024-01-10T05:05:33.693011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:05:33.788441image/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
02023-07-3115620530
12023-06-3021120374
22023-05-3121920163
32023-04-3013319944
42023-03-3121419811
52023-02-2813919597
62023-01-3113219458
72022-12-3113919326
82022-11-3012119187
92022-10-3120219066
년월가입건수누적가입자수
1712009-04-3089931
1722009-03-3159842
1732009-02-289783
1742009-01-315774
1752008-12-311769
1762008-11-301768
1772008-10-311767
1782008-09-301766
1792008-08-31764765
1802008-07-3111