Overview

Dataset statistics

Number of variables8
Number of observations44
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory73.0 B

Variable types

Numeric4
Categorical2
DateTime2

Dataset

Description해당 품목의 일련번호 해당 품목과 연관된 게시글의 일련번호 피드백 사용자 아이디 번호 피드백 타입에 따른 분류 코드 피드백 상태에 따른 분류 코드 피드백 게시판 타입에 따른 분류 코드 품목에 대한 피드백을 등록한 연월일 품목 피드백 수정 연월일 해당 품목의 개별규격에 부여되는 일련번호
URLhttps://www.data.go.kr/data/15069443/fileData.do

Alerts

일련번호 is highly overall correlated with 피드백타입 and 1 other fieldsHigh correlation
연관게시글일련변호 is highly overall correlated with 피드백상태피드백게시판타입High correlation
피드백타입 is highly overall correlated with 일련번호 and 1 other fieldsHigh correlation
피드백상태피드백게시판타입 is highly overall correlated with 일련번호 and 2 other fieldsHigh correlation
일련번호 has unique valuesUnique

Reproduction

Analysis started2023-12-13 00:39:08.971392
Analysis finished2023-12-13 00:39:10.267594
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean461.68182
Minimum141
Maximum702
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-13T09:39:10.319915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum141
5-th percentile190
Q1308.75
median473
Q3587.75
95-th percentile679.6
Maximum702
Range561
Interquartile range (IQR)279

Descriptive statistics

Standard deviation158.38616
Coefficient of variation (CV)0.34306345
Kurtosis-0.96341696
Mean461.68182
Median Absolute Deviation (MAD)149.5
Skewness-0.23085853
Sum20314
Variance25086.175
MonotonicityNot monotonic
2023-12-13T09:39:10.425642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
309 1
 
2.3%
282 1
 
2.3%
582 1
 
2.3%
664 1
 
2.3%
382 1
 
2.3%
403 1
 
2.3%
262 1
 
2.3%
306 1
 
2.3%
523 1
 
2.3%
642 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
141 1
2.3%
161 1
2.3%
181 1
2.3%
241 1
2.3%
262 1
2.3%
282 1
2.3%
304 1
2.3%
305 1
2.3%
306 1
2.3%
307 1
2.3%
ValueCountFrequency (%)
702 1
2.3%
683 1
2.3%
682 1
2.3%
666 1
2.3%
665 1
2.3%
664 1
2.3%
663 1
2.3%
662 1
2.3%
642 1
2.3%
622 1
2.3%

연관게시글일련변호
Real number (ℝ)

HIGH CORRELATION 

Distinct26
Distinct (%)59.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean449.59091
Minimum22
Maximum870
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-13T09:39:10.521683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile106.15
Q1300.25
median398
Q3621
95-th percentile870
Maximum870
Range848
Interquartile range (IQR)320.75

Descriptive statistics

Standard deviation211.04054
Coefficient of variation (CV)0.4694057
Kurtosis-0.15934034
Mean449.59091
Median Absolute Deviation (MAD)127
Skewness0.33433952
Sum19782
Variance44538.108
MonotonicityNot monotonic
2023-12-13T09:39:10.615128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
397 5
 
11.4%
398 5
 
11.4%
271 4
 
9.1%
870 4
 
9.1%
621 3
 
6.8%
210 2
 
4.5%
513 2
 
4.5%
492 1
 
2.3%
422 1
 
2.3%
689 1
 
2.3%
Other values (16) 16
36.4%
ValueCountFrequency (%)
22 1
 
2.3%
86 1
 
2.3%
88 1
 
2.3%
209 1
 
2.3%
210 2
4.5%
270 1
 
2.3%
271 4
9.1%
310 1
 
2.3%
365 1
 
2.3%
385 1
 
2.3%
ValueCountFrequency (%)
870 4
9.1%
743 1
 
2.3%
689 1
 
2.3%
670 1
 
2.3%
662 1
 
2.3%
622 1
 
2.3%
621 3
6.8%
513 2
4.5%
501 1
 
2.3%
495 1
 
2.3%

사용자아이디
Real number (ℝ)

Distinct36
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4106.5227
Minimum-1
Maximum26759
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)4.5%
Memory size528.0 B
2023-12-13T09:39:10.714009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile41.3
Q1735.25
median1772.5
Q33871
95-th percentile16885.85
Maximum26759
Range26760
Interquartile range (IQR)3135.75

Descriptive statistics

Standard deviation5895.938
Coefficient of variation (CV)1.4357495
Kurtosis5.1578948
Mean4106.5227
Median Absolute Deviation (MAD)1296.5
Skewness2.2964772
Sum180687
Variance34762085
MonotonicityNot monotonic
2023-12-13T09:39:10.812826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
476 3
 
6.8%
1486 2
 
4.5%
2775 2
 
4.5%
1377 2
 
4.5%
1552 2
 
4.5%
-1 2
 
4.5%
3967 2
 
4.5%
2002 1
 
2.3%
83 1
 
2.3%
1326 1
 
2.3%
Other values (26) 26
59.1%
ValueCountFrequency (%)
-1 2
4.5%
38 1
 
2.3%
60 1
 
2.3%
83 1
 
2.3%
143 1
 
2.3%
389 1
 
2.3%
476 3
6.8%
571 1
 
2.3%
790 1
 
2.3%
1326 1
 
2.3%
ValueCountFrequency (%)
26759 1
2.3%
19781 1
2.3%
17459 1
2.3%
13638 1
2.3%
12378 1
2.3%
12107 1
2.3%
11472 1
2.3%
6897 1
2.3%
5085 1
2.3%
3967 2
4.5%

피드백타입
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
1
38 
2
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row2
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 38
86.4%
2 6
 
13.6%

Length

2023-12-13T09:39:10.904760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:39:11.201971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 38
86.4%
2 6
 
13.6%

피드백상태피드백게시판타입
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
1
31 
3
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 31
70.5%
3 13
29.5%

Length

2023-12-13T09:39:11.275656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:39:11.347804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 31
70.5%
3 13
29.5%

글등록일
Date

Distinct40
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum2013-12-24 00:00:00
Maximum2021-08-13 00:00:00
2023-12-13T09:39:11.424418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:39:11.515078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

글수정일
Date

Distinct31
Distinct (%)70.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum2015-04-23 00:00:00
Maximum2021-08-13 00:00:00
2023-12-13T09:39:11.606254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:39:11.701560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

개별규격일련번호
Real number (ℝ)

Distinct14
Distinct (%)31.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean341.52273
Minimum38
Maximum2223
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-13T09:39:11.788648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38
5-th percentile38
Q140
median142
Q3259.75
95-th percentile1318.15
Maximum2223
Range2185
Interquartile range (IQR)219.75

Descriptive statistics

Standard deviation556.71359
Coefficient of variation (CV)1.6300924
Kurtosis4.7366777
Mean341.52273
Median Absolute Deviation (MAD)102
Skewness2.3129354
Sum15027
Variance309930.02
MonotonicityNot monotonic
2023-12-13T09:39:11.868412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
142 13
29.5%
40 7
15.9%
41 5
 
11.4%
38 5
 
11.4%
367 4
 
9.1%
2223 2
 
4.5%
224 1
 
2.3%
1220 1
 
2.3%
1244 1
 
2.3%
1321 1
 
2.3%
Other values (4) 4
 
9.1%
ValueCountFrequency (%)
38 5
 
11.4%
40 7
15.9%
41 5
 
11.4%
42 1
 
2.3%
142 13
29.5%
144 1
 
2.3%
224 1
 
2.3%
367 4
 
9.1%
1095 1
 
2.3%
1220 1
 
2.3%
ValueCountFrequency (%)
2223 2
 
4.5%
1321 1
 
2.3%
1302 1
 
2.3%
1244 1
 
2.3%
1220 1
 
2.3%
1095 1
 
2.3%
367 4
 
9.1%
224 1
 
2.3%
144 1
 
2.3%
142 13
29.5%

Interactions

2023-12-13T09:39:09.885251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:39:09.194446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:39:09.421089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:39:09.644896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:39:09.943607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:39:09.252074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:39:09.477254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:39:09.706636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:39:10.004488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:39:09.308494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:39:09.530832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:39:09.768460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:39:10.062436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:39:09.365352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:39:09.589890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:39:09.826764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T09:39:11.929842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호연관게시글일련변호사용자아이디피드백타입피드백상태피드백게시판타입글등록일글수정일개별규격일련번호
일련번호1.0000.6810.0000.8981.0001.0000.6170.000
연관게시글일련변호0.6811.0000.3140.6260.8331.0000.7170.699
사용자아이디0.0000.3141.0000.0000.3331.0000.9820.673
피드백타입0.8980.6260.0001.0000.7350.4860.0000.000
피드백상태피드백게시판타입1.0000.8330.3330.7351.0001.0001.0000.000
글등록일1.0001.0001.0000.4861.0001.0001.0000.979
글수정일0.6170.7170.9820.0001.0001.0001.0000.978
개별규격일련번호0.0000.6990.6730.0000.0000.9790.9781.000
2023-12-13T09:39:12.015540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
피드백타입피드백상태피드백게시판타입
피드백타입1.0000.525
피드백상태피드백게시판타입0.5251.000
2023-12-13T09:39:12.081722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호연관게시글일련변호사용자아이디개별규격일련번호피드백타입피드백상태피드백게시판타입
일련번호1.0000.3250.0250.3380.6630.900
연관게시글일련변호0.3251.000-0.214-0.2080.4360.602
사용자아이디0.025-0.2141.0000.1540.0000.223
개별규격일련번호0.338-0.2080.1541.0000.0000.000
피드백타입0.6630.4360.0000.0001.0000.525
피드백상태피드백게시판타입0.9000.6020.2230.0000.5251.000

Missing values

2023-12-13T09:39:10.140866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T09:39:10.231466image/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

일련번호연관게시글일련변호사용자아이디피드백타입피드백상태피드백게시판타입글등록일글수정일개별규격일련번호
03092712002232015-02-242015-04-2341
13042091724132015-01-262015-06-04224
23074801486232015-02-062015-04-231220
3463861821112016-12-232016-12-2338
442239712378112016-05-312016-05-31142
546262138112016-12-202016-12-2040
6464270389112017-01-022017-01-0241
748321012107112017-03-022017-03-022223
8522621-1112017-06-192017-06-1940
9542622-1112017-12-042017-12-0440
일련번호연관게시글일련변호사용자아이디피드백타입피드백상태피드백게시판타입글등록일글수정일개별규격일련번호
3456239783112018-10-112018-10-11142
353055132775132015-02-052015-04-23142
366024952221112019-10-252019-10-25144
37323501143132015-04-202015-06-04142
3862266260112020-11-102020-11-1042
3966638519781112021-01-292021-01-291095
406822105085112021-03-232021-03-232223
4168368926759112021-03-252021-03-2538
421814221586132014-02-242015-04-2340
437023982587112021-08-132021-08-13142