Overview

Dataset statistics

Number of variables8
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory72.7 B

Variable types

Numeric4
Text1
DateTime2
Categorical1

Dataset

Description농림수산식품교육문화정보원 농업온 시스템의 팝업정보에 대한 데이터로서 팝업순번,첨부파일, 등록일시, 수정일시, 팝업상단좌표, 팝업왼쪽좌표, 팝업넓이, 팝업높이의 항목을 포함하고 있습니다.
Author농림수산식품교육문화정보원
URLhttps://www.data.go.kr/data/15122713/fileData.do

Alerts

팝업넓이 is highly overall correlated with 팝업높이High correlation
팝업높이 is highly overall correlated with 팝업넓이High correlation
팝업상단좌표 is highly imbalanced (68.8%)Imbalance
팝업순번 has unique valuesUnique
팝업왼쪽좌표 has 1 (2.8%) zerosZeros

Reproduction

Analysis started2023-12-12 14:00:21.435884
Analysis finished2023-12-12 14:00:23.960871
Duration2.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

팝업순번
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.972222
Minimum1
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-12T23:00:24.043472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.75
Q19.75
median18.5
Q328.25
95-th percentile35.25
Maximum37
Range36
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation10.976562
Coefficient of variation (CV)0.57855965
Kurtosis-1.2549534
Mean18.972222
Median Absolute Deviation (MAD)9.5
Skewness0.0080156609
Sum683
Variance120.48492
MonotonicityStrictly increasing
2023-12-12T23:00:24.215099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1 1
 
2.8%
21 1
 
2.8%
23 1
 
2.8%
24 1
 
2.8%
25 1
 
2.8%
26 1
 
2.8%
27 1
 
2.8%
28 1
 
2.8%
29 1
 
2.8%
30 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
1 1
2.8%
2 1
2.8%
3 1
2.8%
4 1
2.8%
5 1
2.8%
6 1
2.8%
7 1
2.8%
8 1
2.8%
9 1
2.8%
10 1
2.8%
ValueCountFrequency (%)
37 1
2.8%
36 1
2.8%
35 1
2.8%
34 1
2.8%
33 1
2.8%
32 1
2.8%
31 1
2.8%
30 1
2.8%
29 1
2.8%
28 1
2.8%

첨부파일
Text

Distinct35
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-12T23:00:24.465132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.916667
Min length12

Characters and Unicode

Total characters465
Distinct characters16
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

Unique34 ?
Unique (%)94.4%

Sample

1st row15b15559f5c13
2nd row15b1852784033
3rd row15b5543bfbd14
4th row15b88fb9e3a88
5th row15bd2eb4be659
ValueCountFrequency (%)
15bd2eb4be659 2
 
5.6%
164e9079bfc29 1
 
2.8%
16487df051e82 1
 
2.8%
160c02a647e95 1
 
2.8%
160dee34d9212 1
 
2.8%
160dee72b7290 1
 
2.8%
1612c34452417 1
 
2.8%
163dd46bb3464 1
 
2.8%
169e5d0e96a48 1
 
2.8%
15b15559f5c13 1
 
2.8%
Other values (25) 25
69.4%
2023-12-12T23:00:24.861588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 60
12.9%
5 45
 
9.7%
6 39
 
8.4%
9 36
 
7.7%
4 35
 
7.5%
e 28
 
6.0%
3 28
 
6.0%
2 27
 
5.8%
0 26
 
5.6%
b 25
 
5.4%
Other values (6) 116
24.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 339
72.9%
Lowercase Letter 126
 
27.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 60
17.7%
5 45
13.3%
6 39
11.5%
9 36
10.6%
4 35
10.3%
3 28
8.3%
2 27
8.0%
0 26
7.7%
7 22
 
6.5%
8 21
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
e 28
22.2%
b 25
19.8%
f 21
16.7%
c 20
15.9%
d 19
15.1%
a 13
10.3%

Most occurring scripts

ValueCountFrequency (%)
Common 339
72.9%
Latin 126
 
27.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 60
17.7%
5 45
13.3%
6 39
11.5%
9 36
10.6%
4 35
10.3%
3 28
8.3%
2 27
8.0%
0 26
7.7%
7 22
 
6.5%
8 21
 
6.2%
Latin
ValueCountFrequency (%)
e 28
22.2%
b 25
19.8%
f 21
16.7%
c 20
15.9%
d 19
15.1%
a 13
10.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 465
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 60
12.9%
5 45
 
9.7%
6 39
 
8.4%
9 36
 
7.7%
4 35
 
7.5%
e 28
 
6.0%
3 28
 
6.0%
2 27
 
5.8%
0 26
 
5.6%
b 25
 
5.4%
Other values (6) 116
24.9%

등록일시
Date

Distinct34
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size420.0 B
Minimum2017-03-28 00:00:00
Maximum2019-04-05 00:00:00
2023-12-12T23:00:25.005270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:25.135868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

수정일시
Date

Distinct28
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
Minimum2017-03-29 00:00:00
Maximum2019-05-02 00:00:00
2023-12-12T23:00:25.297127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:25.459825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

팝업상단좌표
Categorical

IMBALANCE 

Distinct5
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size420.0 B
100
32 
200
 
1
10
 
1
0
 
1
500
 
1

Length

Max length3
Median length3
Mean length2.9166667
Min length1

Unique

Unique4 ?
Unique (%)11.1%

Sample

1st row100
2nd row200
3rd row100
4th row100
5th row100

Common Values

ValueCountFrequency (%)
100 32
88.9%
200 1
 
2.8%
10 1
 
2.8%
0 1
 
2.8%
500 1
 
2.8%

Length

2023-12-12T23:00:25.658218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:00:25.804062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 32
88.9%
200 1
 
2.8%
10 1
 
2.8%
0 1
 
2.8%
500 1
 
2.8%

팝업왼쪽좌표
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean333.61111
Minimum0
Maximum800
Zeros1
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-12T23:00:25.914139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile77.5
Q1200
median200
Q3500
95-th percentile800
Maximum800
Range800
Interquartile range (IQR)300

Descriptive statistics

Standard deviation231.04919
Coefficient of variation (CV)0.69257044
Kurtosis-0.70109318
Mean333.61111
Median Absolute Deviation (MAD)0
Skewness0.74952643
Sum12010
Variance53383.73
MonotonicityNot monotonic
2023-12-12T23:00:26.048607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
200 19
52.8%
500 5
 
13.9%
600 3
 
8.3%
800 3
 
8.3%
650 2
 
5.6%
100 2
 
5.6%
10 1
 
2.8%
0 1
 
2.8%
ValueCountFrequency (%)
0 1
 
2.8%
10 1
 
2.8%
100 2
 
5.6%
200 19
52.8%
500 5
 
13.9%
600 3
 
8.3%
650 2
 
5.6%
800 3
 
8.3%
ValueCountFrequency (%)
800 3
 
8.3%
650 2
 
5.6%
600 3
 
8.3%
500 5
 
13.9%
200 19
52.8%
100 2
 
5.6%
10 1
 
2.8%
0 1
 
2.8%

팝업넓이
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)36.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean474.44444
Minimum100
Maximum800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-12T23:00:26.154168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile284.75
Q1400
median500
Q3600
95-th percentile638.5
Maximum800
Range700
Interquartile range (IQR)200

Descriptive statistics

Standard deviation142.7218
Coefficient of variation (CV)0.30081877
Kurtosis0.32081325
Mean474.44444
Median Absolute Deviation (MAD)100
Skewness-0.33607097
Sum17080
Variance20369.511
MonotonicityNot monotonic
2023-12-12T23:00:26.267181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
500 10
27.8%
600 8
22.2%
400 4
 
11.1%
285 3
 
8.3%
300 3
 
8.3%
284 1
 
2.8%
618 1
 
2.8%
800 1
 
2.8%
700 1
 
2.8%
533 1
 
2.8%
Other values (3) 3
 
8.3%
ValueCountFrequency (%)
100 1
 
2.8%
284 1
 
2.8%
285 3
 
8.3%
300 3
 
8.3%
400 4
 
11.1%
440 1
 
2.8%
450 1
 
2.8%
500 10
27.8%
533 1
 
2.8%
600 8
22.2%
ValueCountFrequency (%)
800 1
 
2.8%
700 1
 
2.8%
618 1
 
2.8%
600 8
22.2%
533 1
 
2.8%
500 10
27.8%
450 1
 
2.8%
440 1
 
2.8%
400 4
 
11.1%
300 3
 
8.3%

팝업높이
Real number (ℝ)

HIGH CORRELATION 

Distinct26
Distinct (%)72.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean486.19444
Minimum100
Maximum1041
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-12T23:00:26.390487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile200
Q1320
median500
Q3636.5
95-th percentile812.5
Maximum1041
Range941
Interquartile range (IQR)316.5

Descriptive statistics

Standard deviation210.03956
Coefficient of variation (CV)0.43200733
Kurtosis-0.070193602
Mean486.19444
Median Absolute Deviation (MAD)166
Skewness0.44825114
Sum17503
Variance44116.618
MonotonicityNot monotonic
2023-12-12T23:00:26.505724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
500 4
 
11.1%
320 3
 
8.3%
400 3
 
8.3%
285 2
 
5.6%
347 2
 
5.6%
200 2
 
5.6%
800 1
 
2.8%
630 1
 
2.8%
100 1
 
2.8%
650 1
 
2.8%
Other values (16) 16
44.4%
ValueCountFrequency (%)
100 1
 
2.8%
200 2
5.6%
225 1
 
2.8%
285 2
5.6%
289 1
 
2.8%
310 1
 
2.8%
320 3
8.3%
347 2
5.6%
391 1
 
2.8%
400 3
8.3%
ValueCountFrequency (%)
1041 1
2.8%
850 1
2.8%
800 1
2.8%
756 1
2.8%
690 1
2.8%
688 1
2.8%
679 1
2.8%
650 1
2.8%
638 1
2.8%
636 1
2.8%

Interactions

2023-12-12T23:00:23.215868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:21.715152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:22.447225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:22.847755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:23.311282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:21.819497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:22.557120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:22.941789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:23.426794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:22.253247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:22.651404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:23.043623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:23.519904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:22.354556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:22.751097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:23.133025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:00:26.603194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
팝업순번첨부파일등록일시수정일시팝업상단좌표팝업왼쪽좌표팝업넓이팝업높이
팝업순번1.0000.9260.9700.8140.0000.4080.5660.608
첨부파일0.9261.0000.9790.9581.0001.0001.0001.000
등록일시0.9700.9791.0000.9960.0000.5300.5340.971
수정일시0.8140.9580.9961.0000.0000.0000.2660.905
팝업상단좌표0.0001.0000.0000.0001.0000.6540.0000.000
팝업왼쪽좌표0.4081.0000.5300.0000.6541.0000.5710.541
팝업넓이0.5661.0000.5340.2660.0000.5711.0000.872
팝업높이0.6081.0000.9710.9050.0000.5410.8721.000
2023-12-12T23:00:26.738080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
팝업순번팝업왼쪽좌표팝업넓이팝업높이팝업상단좌표
팝업순번1.000-0.2870.0090.2540.000
팝업왼쪽좌표-0.2871.0000.2510.1730.476
팝업넓이0.0090.2511.0000.5100.000
팝업높이0.2540.1730.5101.0000.000
팝업상단좌표0.0000.4760.0000.0001.000

Missing values

2023-12-12T23:00:23.655804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:00:23.858310image/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

팝업순번첨부파일등록일시수정일시팝업상단좌표팝업왼쪽좌표팝업넓이팝업높이
0115b15559f5c132017-03-282017-03-29100200600800
1215b18527840332017-03-292017-04-14200600500600
2315b5543bfbd142017-04-102017-05-23100200285285
3415b88fb9e3a882017-04-202017-05-23100500285285
4515bd2eb4be6592017-05-042017-05-11100500600320
5615c1e99750b602017-05-192017-05-23100200600347
6715ca94f561b162017-06-152017-06-19100200600347
7815cec675db4952017-06-282017-08-25100200300310
8915e183ba405812017-08-252017-08-25100200284225
91015e50a6ea38382017-09-052017-09-05100200300200
팝업순번첨부파일등록일시수정일시팝업상단좌표팝업왼쪽좌표팝업넓이팝업높이
26281641d0992d6412018-06-202018-07-11100200500690
272916487df051e822018-07-112018-08-08100200450636
2830164e9079bfc292018-07-302018-07-30100200500638
2931168df374d0a922019-02-122019-02-21100100500650
30321690ff4b30c602019-02-212019-02-211010440500
313316923141f4b732019-02-252019-02-2500500500
3234169232317d7422019-02-252019-02-25100200500500
33351697f9fce4232019-03-152019-03-15100200300200
3436169e5d0e96a482019-04-042019-04-04100100100100
3537169ec837fc9742019-04-052019-05-02500500500500