Overview

Dataset statistics

Number of variables4
Number of observations1054
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory34.1 KiB
Average record size in memory33.1 B

Variable types

Numeric1
Text1
DateTime2

Dataset

Description한국노인인력개발원에서 운영하는 노인일자리 시스템을 운영하기 위한 시스템 정보로 회원ID, 메뉴ID, 등록일시 등의 항목을 제공합니다.
Author한국노인인력개발원
URLhttps://www.data.go.kr/data/15067101/fileData.do

Reproduction

Analysis started2023-12-12 07:41:31.406582
Analysis finished2023-12-12 07:41:31.973698
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회원ID
Real number (ℝ)

Distinct73
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2599089.4
Minimum1208
Maximum3907306
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.4 KiB
2023-12-12T16:41:32.091602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1208
5-th percentile1351
Q12571332
median3230739
Q33265311
95-th percentile3781310
Maximum3907306
Range3906098
Interquartile range (IQR)693979

Descriptive statistics

Standard deviation1293636.5
Coefficient of variation (CV)0.49772683
Kurtosis-0.18129556
Mean2599089.4
Median Absolute Deviation (MAD)168570
Skewness-1.2328457
Sum2.7394402 × 109
Variance1.6734954 × 1012
MonotonicityNot monotonic
2023-12-12T16:41:32.295122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28540 86
 
8.2%
3230739 69
 
6.5%
3230387 67
 
6.4%
3230754 55
 
5.2%
3763304 47
 
4.5%
1208 46
 
4.4%
3231632 43
 
4.1%
3233339 38
 
3.6%
952522 37
 
3.5%
1003301 28
 
2.7%
Other values (63) 538
51.0%
ValueCountFrequency (%)
1208 46
4.4%
1351 10
 
0.9%
3187 1
 
0.1%
28540 86
8.2%
31140 5
 
0.5%
31200 5
 
0.5%
31341 4
 
0.4%
182319 5
 
0.5%
219300 1
 
0.1%
269361 10
 
0.9%
ValueCountFrequency (%)
3907306 5
 
0.5%
3889308 2
 
0.2%
3861304 27
2.6%
3818305 16
 
1.5%
3781310 5
 
0.5%
3763304 47
4.5%
3675304 8
 
0.8%
3584309 4
 
0.4%
3532309 9
 
0.9%
3491304 19
1.8%

메뉴ID
Text

Distinct216
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
2023-12-12T16:41:32.580951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters21080
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)5.3%

Sample

1st rowMN000000000000000984
2nd rowMN000000000000000985
3rd rowMN000000000000000986
4th rowMN000000000000000003
5th rowMN000000000000000004
ValueCountFrequency (%)
mn000000000000000018 37
 
3.5%
mn000000000000000019 36
 
3.4%
mn000000000000000029 31
 
2.9%
mn000000000000000025 29
 
2.8%
mn000000000000000016 28
 
2.7%
mn000000000000000460 22
 
2.1%
mn000000000000000061 22
 
2.1%
mn000000000000000041 21
 
2.0%
mn000000000000000044 21
 
2.0%
mn000000000000000026 20
 
1.9%
Other values (206) 787
74.7%
2023-12-12T16:41:32.978792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 16442
78.0%
M 1054
 
5.0%
N 1054
 
5.0%
2 353
 
1.7%
8 326
 
1.5%
1 318
 
1.5%
9 296
 
1.4%
6 278
 
1.3%
5 270
 
1.3%
4 256
 
1.2%
Other values (2) 433
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18972
90.0%
Uppercase Letter 2108
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 16442
86.7%
2 353
 
1.9%
8 326
 
1.7%
1 318
 
1.7%
9 296
 
1.6%
6 278
 
1.5%
5 270
 
1.4%
4 256
 
1.3%
3 239
 
1.3%
7 194
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
M 1054
50.0%
N 1054
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18972
90.0%
Latin 2108
 
10.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 16442
86.7%
2 353
 
1.9%
8 326
 
1.7%
1 318
 
1.7%
9 296
 
1.6%
6 278
 
1.5%
5 270
 
1.4%
4 256
 
1.3%
3 239
 
1.3%
7 194
 
1.0%
Latin
ValueCountFrequency (%)
M 1054
50.0%
N 1054
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21080
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 16442
78.0%
M 1054
 
5.0%
N 1054
 
5.0%
2 353
 
1.7%
8 326
 
1.5%
1 318
 
1.5%
9 296
 
1.4%
6 278
 
1.3%
5 270
 
1.3%
4 256
 
1.2%
Other values (2) 433
 
2.1%

등록일시
Date

Distinct88
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
Minimum2023-01-02 09:33:03
Maximum2023-09-20 08:53:33
2023-12-12T16:41:33.178600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:41:33.373773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수정일시
Date

Distinct88
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
Minimum2023-01-02 09:33:03
Maximum2023-09-20 08:53:33
2023-12-12T16:41:33.553647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:41:33.707385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T16:41:31.617530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:41:33.796064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회원ID등록일시수정일시
회원ID1.0001.0001.000
등록일시1.0001.0001.000
수정일시1.0001.0001.000

Missing values

2023-12-12T16:41:31.801014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:41:31.928767image/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

회원ID메뉴ID등록일시수정일시
03861304MN0000000000000009842023-08-10 09:53:432023-08-10 09:53:43
13861304MN0000000000000009852023-08-10 09:53:432023-08-10 09:53:43
23861304MN0000000000000009862023-08-10 09:53:432023-08-10 09:53:43
31208MN0000000000000000032023-01-02 17:47:542023-01-02 17:47:54
41208MN0000000000000000042023-01-02 17:47:542023-01-02 17:47:54
51208MN0000000000000000052023-01-02 17:47:542023-01-02 17:47:54
61208MN0000000000000008432023-01-02 17:47:542023-01-02 17:47:54
71208MN0000000000000000162023-01-02 17:47:542023-01-02 17:47:54
81208MN0000000000000005402023-01-02 17:47:542023-01-02 17:47:54
91208MN0000000000000000182023-01-02 17:47:542023-01-02 17:47:54
회원ID메뉴ID등록일시수정일시
10442976305MN0000000000000000292023-03-30 09:07:152023-03-30 09:07:15
10452976305MN0000000000000000322023-03-30 09:07:152023-03-30 09:07:15
10462976305MN0000000000000000352023-03-30 09:07:152023-03-30 09:07:15
10472976305MN0000000000000008832023-03-30 09:07:152023-03-30 09:07:15
10482976305MN0000000000000008842023-03-30 09:07:152023-03-30 09:07:15
104931200MN0000000000000005582023-02-14 11:16:402023-02-14 11:16:40
105031200MN0000000000000005592023-02-14 11:16:402023-02-14 11:16:40
105131200MN0000000000000005742023-02-14 11:16:402023-02-14 11:16:40
105231200MN0000000000000005762023-02-14 11:16:402023-02-14 11:16:40
105331200MN0000000000000005772023-02-14 11:16:402023-02-14 11:16:40