Overview

Dataset statistics

Number of variables2
Number of observations107
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory19.2 B

Variable types

Numeric2

Dataset

Description소상공인시장진흥공단_교육시스템_제휴기관 채널 교육과정에 대한 데이터로 과정코드, 채널 일련번호에 대한 항목들을 제공합니다.
Author소상공인시장진흥공단
URLhttps://www.data.go.kr/data/15093448/fileData.do

Alerts

과정코드 is highly overall correlated with 채널_일련번호High correlation
채널_일련번호 is highly overall correlated with 과정코드High correlation
과정코드 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:32:55.748467
Analysis finished2023-12-12 10:32:56.453422
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

과정코드
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct107
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean756.14019
Minimum209
Maximum1274
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T19:32:56.564896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum209
5-th percentile216.3
Q1382
median819
Q31105.5
95-th percentile1268.7
Maximum1274
Range1065
Interquartile range (IQR)723.5

Descriptive statistics

Standard deviation372.91813
Coefficient of variation (CV)0.4931865
Kurtosis-1.230267
Mean756.14019
Median Absolute Deviation (MAD)293
Skewness-0.19926673
Sum80907
Variance139067.93
MonotonicityNot monotonic
2023-12-12T19:32:56.791979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
506 1
 
0.9%
1112 1
 
0.9%
1101 1
 
0.9%
1102 1
 
0.9%
1103 1
 
0.9%
1104 1
 
0.9%
1105 1
 
0.9%
1106 1
 
0.9%
1107 1
 
0.9%
1108 1
 
0.9%
Other values (97) 97
90.7%
ValueCountFrequency (%)
209 1
0.9%
211 1
0.9%
213 1
0.9%
214 1
0.9%
215 1
0.9%
216 1
0.9%
217 1
0.9%
218 1
0.9%
219 1
0.9%
220 1
0.9%
ValueCountFrequency (%)
1274 1
0.9%
1273 1
0.9%
1272 1
0.9%
1271 1
0.9%
1270 1
0.9%
1269 1
0.9%
1268 1
0.9%
1267 1
0.9%
1266 1
0.9%
1265 1
0.9%

채널_일련번호
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.261682
Minimum3
Maximum147
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T19:32:56.941198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q139
median107
Q3135
95-th percentile147
Maximum147
Range144
Interquartile range (IQR)96

Descriptive statistics

Standard deviation52.455253
Coefficient of variation (CV)0.55064378
Kurtosis-0.85694655
Mean95.261682
Median Absolute Deviation (MAD)28
Skewness-0.8610344
Sum10193
Variance2751.5535
MonotonicityNot monotonic
2023-12-12T19:32:57.087475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
105 18
16.8%
147 18
16.8%
3 18
16.8%
130 17
15.9%
135 13
12.1%
26 6
 
5.6%
107 6
 
5.6%
91 4
 
3.7%
39 3
 
2.8%
131 2
 
1.9%
Other values (2) 2
 
1.9%
ValueCountFrequency (%)
3 18
16.8%
22 1
 
0.9%
26 6
 
5.6%
39 3
 
2.8%
75 1
 
0.9%
91 4
 
3.7%
105 18
16.8%
107 6
 
5.6%
130 17
15.9%
131 2
 
1.9%
ValueCountFrequency (%)
147 18
16.8%
135 13
12.1%
131 2
 
1.9%
130 17
15.9%
107 6
 
5.6%
105 18
16.8%
91 4
 
3.7%
75 1
 
0.9%
39 3
 
2.8%
26 6
 
5.6%

Interactions

2023-12-12T19:32:56.053229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:32:55.819585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:32:56.164896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:32:55.938334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:32:57.198993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과정코드채널_일련번호
과정코드1.0000.917
채널_일련번호0.9171.000
2023-12-12T19:32:57.319288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과정코드채널_일련번호
과정코드1.0000.973
채널_일련번호0.9731.000

Missing values

2023-12-12T19:32:56.326231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:32:56.417762image/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

과정코드채널_일련번호
050691
147791
246491
350791
423426
523326
623226
721126
823626
923526
과정코드채널_일련번호
972143
9820922
99946107
100842107
1011151107
1021051107
103815107
104749107
105921131
106920131