Overview

Dataset statistics

Number of variables12
Number of observations99
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.9 KiB
Average record size in memory102.3 B

Variable types

Categorical9
Numeric2
Text1

Dataset

DescriptionSample
Author(주)제로투원파트너스
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=ZTO010BSICGIDETERGE

Alerts

MT has constant value ""Constant
201802 has constant value ""Constant
세탁세제/섬유유연제 has constant value ""Constant
전체 has constant value ""Constant
전체.1 has constant value ""Constant
2 has constant value ""Constant
애경산업 리큐 has constant value ""Constant
93 is highly overall correlated with 13High correlation
13 is highly overall correlated with 93High correlation

Reproduction

Analysis started2023-12-10 06:48:20.798702
Analysis finished2023-12-10 06:48:21.970941
Duration1.17 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

MT
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
MT
99 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMT
2nd rowMT
3rd rowMT
4th rowMT
5th rowMT

Common Values

ValueCountFrequency (%)
MT 99
100.0%

Length

2023-12-10T15:48:22.048272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:48:22.147921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
mt 99
100.0%

201802
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
201802
99 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row201802
2nd row201802
3rd row201802
4th row201802
5th row201802

Common Values

ValueCountFrequency (%)
201802 99
100.0%

Length

2023-12-10T15:48:22.272696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:48:22.383324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
201802 99
100.0%

93
Real number (ℝ)

HIGH CORRELATION 

Distinct74
Distinct (%)74.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.121212
Minimum11
Maximum231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-10T15:48:22.515538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile34.4
Q166
median88
Q3112.5
95-th percentile160.1
Maximum231
Range220
Interquartile range (IQR)46.5

Descriptive statistics

Standard deviation38.373373
Coefficient of variation (CV)0.42579735
Kurtosis1.7910475
Mean90.121212
Median Absolute Deviation (MAD)23
Skewness0.8837618
Sum8922
Variance1472.5158
MonotonicityNot monotonic
2023-12-10T15:48:22.698716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81 3
 
3.0%
94 3
 
3.0%
96 3
 
3.0%
88 3
 
3.0%
90 2
 
2.0%
87 2
 
2.0%
72 2
 
2.0%
29 2
 
2.0%
45 2
 
2.0%
71 2
 
2.0%
Other values (64) 75
75.8%
ValueCountFrequency (%)
11 1
1.0%
23 1
1.0%
26 1
1.0%
29 2
2.0%
35 1
1.0%
43 1
1.0%
44 2
2.0%
45 2
2.0%
50 1
1.0%
51 1
1.0%
ValueCountFrequency (%)
231 1
1.0%
216 1
1.0%
165 1
1.0%
163 1
1.0%
161 1
1.0%
160 1
1.0%
155 1
1.0%
151 1
1.0%
149 1
1.0%
136 1
1.0%

13
Real number (ℝ)

HIGH CORRELATION 

Distinct29
Distinct (%)29.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.535354
Minimum1
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-10T15:48:22.853191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.9
Q19
median12
Q317
95-th percentile24.1
Maximum45
Range44
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.0931314
Coefficient of variation (CV)0.52404478
Kurtosis4.5477783
Mean13.535354
Median Absolute Deviation (MAD)4
Skewness1.5127341
Sum1340
Variance50.312513
MonotonicityNot monotonic
2023-12-10T15:48:23.326937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
8 9
 
9.1%
12 9
 
9.1%
11 8
 
8.1%
13 8
 
8.1%
9 6
 
6.1%
14 6
 
6.1%
17 5
 
5.1%
18 5
 
5.1%
16 4
 
4.0%
10 4
 
4.0%
Other values (19) 35
35.4%
ValueCountFrequency (%)
1 1
 
1.0%
2 2
 
2.0%
3 2
 
2.0%
4 1
 
1.0%
5 1
 
1.0%
6 3
 
3.0%
7 4
4.0%
8 9
9.1%
9 6
6.1%
10 4
4.0%
ValueCountFrequency (%)
45 1
 
1.0%
40 1
 
1.0%
30 1
 
1.0%
27 1
 
1.0%
25 1
 
1.0%
24 1
 
1.0%
23 3
3.0%
22 2
2.0%
21 2
2.0%
20 3
3.0%

세탁세제/섬유유연제
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
세탁세제/섬유유연제
99 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row세탁세제/섬유유연제
2nd row세탁세제/섬유유연제
3rd row세탁세제/섬유유연제
4th row세탁세제/섬유유연제
5th row세탁세제/섬유유연제

Common Values

ValueCountFrequency (%)
세탁세제/섬유유연제 99
100.0%

Length

2023-12-10T15:48:23.494181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:48:23.632287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
세탁세제/섬유유연제 99
100.0%

전체
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
전체
99 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전체
2nd row전체
3rd row전체
4th row전체
5th row전체

Common Values

ValueCountFrequency (%)
전체 99
100.0%

Length

2023-12-10T15:48:23.749289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:48:23.855184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체 99
100.0%

전체.1
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
전체
99 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전체
2nd row전체
3rd row전체
4th row전체
5th row전체

Common Values

ValueCountFrequency (%)
전체 99
100.0%

Length

2023-12-10T15:48:23.976170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:48:24.090859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체 99
100.0%

2
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2
99 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 99
100.0%

Length

2023-12-10T15:48:24.218249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:48:24.357772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 99
100.0%

20
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
20
62 
30
37 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20
2nd row20
3rd row20
4th row20
5th row20

Common Values

ValueCountFrequency (%)
20 62
62.6%
30 37
37.4%

Length

2023-12-10T15:48:24.479736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:48:24.591357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20 62
62.6%
30 37
37.4%

서울특별시
Categorical

Distinct14
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Memory size924.0 B
서울특별시
22 
경기도
20 
부산광역시
16 
인천광역시
7 
대구광역시
5 
Other values (9)
29 

Length

Max length5
Median length5
Mean length4.3333333
Min length3

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row서울특별시
2nd row서울특별시
3rd row서울특별시
4th row서울특별시
5th row부산광역시

Common Values

ValueCountFrequency (%)
서울특별시 22
22.2%
경기도 20
20.2%
부산광역시 16
16.2%
인천광역시 7
 
7.1%
대구광역시 5
 
5.1%
충청북도 5
 
5.1%
충청남도 5
 
5.1%
전라북도 4
 
4.0%
전라남도 4
 
4.0%
경상남도 4
 
4.0%
Other values (4) 7
 
7.1%

Length

2023-12-10T15:48:24.723382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 22
22.2%
경기도 20
20.2%
부산광역시 16
16.2%
인천광역시 7
 
7.1%
대구광역시 5
 
5.1%
충청북도 5
 
5.1%
충청남도 5
 
5.1%
전라북도 4
 
4.0%
전라남도 4
 
4.0%
경상남도 4
 
4.0%
Other values (4) 7
 
7.1%

중구
Text

Distinct59
Distinct (%)59.6%
Missing0
Missing (%)0.0%
Memory size924.0 B
2023-12-10T15:48:24.999420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.8787879
Min length2

Characters and Unicode

Total characters285
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)34.3%

Sample

1st row성북구
2nd row노원구
3rd row강서구
4th row송파구
5th row전체
ValueCountFrequency (%)
전체 14
 
14.1%
중구 4
 
4.0%
강서구 3
 
3.0%
청주시 2
 
2.0%
노원구 2
 
2.0%
성동구 2
 
2.0%
광진구 2
 
2.0%
구로구 2
 
2.0%
사하구 2
 
2.0%
오산시 2
 
2.0%
Other values (49) 64
64.6%
2023-12-10T15:48:25.455303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 49
 
17.2%
시 36
 
12.6%
전 14
 
4.9%
체 14
 
4.9%
산 8
 
2.8%
성 7
 
2.5%
서 7
 
2.5%
양 6
 
2.1%
주 6
 
2.1%
안 5
 
1.8%
Other values (61) 133
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 285
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 49
 
17.2%
시 36
 
12.6%
전 14
 
4.9%
체 14
 
4.9%
산 8
 
2.8%
성 7
 
2.5%
서 7
 
2.5%
양 6
 
2.1%
주 6
 
2.1%
안 5
 
1.8%
Other values (61) 133
46.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 285
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 49
 
17.2%
시 36
 
12.6%
전 14
 
4.9%
체 14
 
4.9%
산 8
 
2.8%
성 7
 
2.5%
서 7
 
2.5%
양 6
 
2.1%
주 6
 
2.1%
안 5
 
1.8%
Other values (61) 133
46.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 285
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 49
 
17.2%
시 36
 
12.6%
전 14
 
4.9%
체 14
 
4.9%
산 8
 
2.8%
성 7
 
2.5%
서 7
 
2.5%
양 6
 
2.1%
주 6
 
2.1%
안 5
 
1.8%
Other values (61) 133
46.7%

애경산업 리큐
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
애경산업 리큐
99 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row애경산업 리큐
2nd row애경산업 리큐
3rd row애경산업 리큐
4th row애경산업 리큐
5th row애경산업 리큐

Common Values

ValueCountFrequency (%)
애경산업 리큐 99
100.0%

Length

2023-12-10T15:48:25.617410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:48:25.714786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
애경산업 99
50.0%
리큐 99
50.0%

Interactions

2023-12-10T15:48:21.429537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:48:21.202560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:48:21.534255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:48:21.301358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T15:48:25.792155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
931320서울특별시중구
931.0000.6970.3040.4000.840
130.6971.0000.0000.0000.956
200.3040.0001.0000.3510.000
서울특별시0.4000.0000.3511.0000.957
중구0.8400.9560.0000.9571.000
2023-12-10T15:48:25.919383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
20서울특별시
201.0000.254
서울특별시0.2541.000
2023-12-10T15:48:26.049533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
931320서울특별시
931.0000.7390.1950.167
130.7391.0000.1250.000
200.1950.1251.0000.254
서울특별시0.1670.0000.2541.000

Missing values

2023-12-10T15:48:21.697323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T15:48:21.898249image/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

MT2018029313세탁세제/섬유유연제전체전체.1220서울특별시중구애경산업 리큐
0MT20180216323세탁세제/섬유유연제전체전체220서울특별시성북구애경산업 리큐
1MT2018028817세탁세제/섬유유연제전체전체220서울특별시노원구애경산업 리큐
2MT201802628세탁세제/섬유유연제전체전체220서울특별시강서구애경산업 리큐
3MT2018029616세탁세제/섬유유연제전체전체220서울특별시송파구애경산업 리큐
4MT2018028212세탁세제/섬유유연제전체전체220부산광역시전체애경산업 리큐
5MT201802449세탁세제/섬유유연제전체전체220부산광역시중구애경산업 리큐
6MT2018029211세탁세제/섬유유연제전체전체220부산광역시동래구애경산업 리큐
7MT2018026710세탁세제/섬유유연제전체전체220부산광역시사상구애경산업 리큐
8MT20180212213세탁세제/섬유유연제전체전체220대구광역시전체애경산업 리큐
9MT20180212114세탁세제/섬유유연제전체전체220대구광역시달서구애경산업 리큐
MT2018029313세탁세제/섬유유연제전체전체.1220서울특별시중구애경산업 리큐
89MT2018029814세탁세제/섬유유연제전체전체230서울특별시종로구애경산업 리큐
90MT2018029212세탁세제/섬유유연제전체전체230서울특별시성동구애경산업 리큐
91MT20180215116세탁세제/섬유유연제전체전체230서울특별시광진구애경산업 리큐
92MT2018028111세탁세제/섬유유연제전체전체230서울특별시구로구애경산업 리큐
93MT201802458세탁세제/섬유유연제전체전체230서울특별시관악구애경산업 리큐
94MT2018029427세탁세제/섬유유연제전체전체230부산광역시해운대구애경산업 리큐
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