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=ZTO010BSICGIKIMCHI

Alerts

MT has constant value ""Constant
201803 has constant value ""Constant
김치/절임식품 has constant value ""Constant
전체 has constant value ""Constant
전체.1 has constant value ""Constant
2 has constant value ""Constant
대상 종가집 has constant value ""Constant
30 is highly overall correlated with 부산광역시High correlation
부산광역시 is highly overall correlated with 30High correlation

Reproduction

Analysis started2023-12-10 06:41:51.122426
Analysis finished2023-12-10 06:41:52.916522
Duration1.79 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

2023-12-10T15:41:52.995300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:41:53.124306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
mt 99
100.0%

201803
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
201803
99 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row201803
2nd row201803
3rd row201803
4th row201803
5th row201803

Common Values

ValueCountFrequency (%)
201803 99
100.0%

Length

2023-12-10T15:41:53.267704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:41:53.409612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
201803 99
100.0%

74
Real number (ℝ)

Distinct61
Distinct (%)61.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.888889
Minimum3
Maximum457
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-10T15:41:53.559873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile29.8
Q163
median74
Q389.5
95-th percentile161.2
Maximum457
Range454
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation55.860411
Coefficient of variation (CV)0.66588569
Kurtosis23.120643
Mean83.888889
Median Absolute Deviation (MAD)12
Skewness4.1154832
Sum8305
Variance3120.3855
MonotonicityNot monotonic
2023-12-10T15:41:53.789910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75 5
 
5.1%
85 4
 
4.0%
68 4
 
4.0%
64 3
 
3.0%
49 3
 
3.0%
74 3
 
3.0%
57 3
 
3.0%
61 3
 
3.0%
63 3
 
3.0%
66 3
 
3.0%
Other values (51) 65
65.7%
ValueCountFrequency (%)
3 1
 
1.0%
8 1
 
1.0%
14 1
 
1.0%
16 1
 
1.0%
28 1
 
1.0%
30 1
 
1.0%
38 1
 
1.0%
40 1
 
1.0%
46 2
2.0%
49 3
3.0%
ValueCountFrequency (%)
457 1
1.0%
324 1
1.0%
221 1
1.0%
203 1
1.0%
172 1
1.0%
160 1
1.0%
136 1
1.0%
127 1
1.0%
118 1
1.0%
112 1
1.0%

52
Real number (ℝ)

Distinct52
Distinct (%)52.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.868687
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-10T15:41:54.043361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.7
Q130
median43
Q352
95-th percentile100
Maximum100
Range99
Interquartile range (IQR)22

Descriptive statistics

Standard deviation24.487667
Coefficient of variation (CV)0.55820379
Kurtosis0.48416904
Mean43.868687
Median Absolute Deviation (MAD)12
Skewness0.76735794
Sum4343
Variance599.64585
MonotonicityNot monotonic
2023-12-10T15:41:54.290566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 8
 
8.1%
43 7
 
7.1%
34 5
 
5.1%
46 5
 
5.1%
51 4
 
4.0%
9 3
 
3.0%
56 3
 
3.0%
40 3
 
3.0%
20 3
 
3.0%
41 3
 
3.0%
Other values (42) 55
55.6%
ValueCountFrequency (%)
1 1
 
1.0%
2 1
 
1.0%
5 2
2.0%
6 1
 
1.0%
9 3
3.0%
13 1
 
1.0%
14 1
 
1.0%
15 1
 
1.0%
17 1
 
1.0%
18 2
2.0%
ValueCountFrequency (%)
100 8
8.1%
94 1
 
1.0%
90 1
 
1.0%
80 1
 
1.0%
77 1
 
1.0%
75 1
 
1.0%
65 1
 
1.0%
62 1
 
1.0%
60 1
 
1.0%
59 1
 
1.0%

김치/절임식품
Categorical

CONSTANT 

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

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row김치/절임식품
2nd row김치/절임식품
3rd row김치/절임식품
4th row김치/절임식품
5th row김치/절임식품

Common Values

ValueCountFrequency (%)
김치/절임식품 99
100.0%

Length

2023-12-10T15:41:54.514279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:41:54.651412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
김치/절임식품 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

2023-12-10T15:41:54.802173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:41:54.960140image/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

2023-12-10T15:41:55.116388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:41:55.257316image/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

2023-12-10T15:41:55.416915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:41:55.563019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 99
100.0%

30
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
30
66 
40
33 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row30
2nd row30
3rd row30
4th row30
5th row30

Common Values

ValueCountFrequency (%)
30 66
66.7%
40 33
33.3%

Length

2023-12-10T15:41:55.718659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:41:55.866095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
30 66
66.7%
40 33
33.3%

부산광역시
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Memory size924.0 B
경기도
21 
서울특별시
16 
부산광역시
13 
경상북도
6 
경상남도
6 
Other values (10)
37 

Length

Max length7
Median length5
Mean length4.2323232
Min length3

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 21
21.2%
서울특별시 16
16.2%
부산광역시 13
13.1%
경상북도 6
 
6.1%
경상남도 6
 
6.1%
대구광역시 5
 
5.1%
인천광역시 5
 
5.1%
전라남도 5
 
5.1%
대전광역시 4
 
4.0%
강원도 4
 
4.0%
Other values (5) 14
14.1%

Length

2023-12-10T15:41:56.070115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 21
21.2%
서울특별시 16
16.2%
부산광역시 13
13.1%
경상북도 6
 
6.1%
경상남도 6
 
6.1%
대구광역시 5
 
5.1%
인천광역시 5
 
5.1%
전라남도 5
 
5.1%
대전광역시 4
 
4.0%
강원도 4
 
4.0%
Other values (5) 14
14.1%

전체.2
Text

Distinct69
Distinct (%)69.7%
Missing0
Missing (%)0.0%
Memory size924.0 B
2023-12-10T15:41:56.425959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.8080808
Min length2

Characters and Unicode

Total characters278
Distinct characters73
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

Unique55 ?
Unique (%)55.6%

Sample

1st row중구
2nd row동래구
3rd row사상구
4th row전체
5th row달서구
ValueCountFrequency (%)
전체 13
 
13.1%
중구 5
 
5.1%
남구 3
 
3.0%
동구 3
 
3.0%
평택시 2
 
2.0%
의정부시 2
 
2.0%
안양시 2
 
2.0%
달서구 2
 
2.0%
부천시 2
 
2.0%
강동구 2
 
2.0%
Other values (59) 63
63.6%
2023-12-10T15:41:57.005625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 37
 
13.3%
구 37
 
13.3%
군 14
 
5.0%
체 13
 
4.7%
전 13
 
4.7%
천 11
 
4.0%
동 9
 
3.2%
양 9
 
3.2%
남 7
 
2.5%
중 6
 
2.2%
Other values (63) 122
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 278
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 37
 
13.3%
구 37
 
13.3%
군 14
 
5.0%
체 13
 
4.7%
전 13
 
4.7%
천 11
 
4.0%
동 9
 
3.2%
양 9
 
3.2%
남 7
 
2.5%
중 6
 
2.2%
Other values (63) 122
43.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 278
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 37
 
13.3%
구 37
 
13.3%
군 14
 
5.0%
체 13
 
4.7%
전 13
 
4.7%
천 11
 
4.0%
동 9
 
3.2%
양 9
 
3.2%
남 7
 
2.5%
중 6
 
2.2%
Other values (63) 122
43.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 278
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 37
 
13.3%
구 37
 
13.3%
군 14
 
5.0%
체 13
 
4.7%
전 13
 
4.7%
천 11
 
4.0%
동 9
 
3.2%
양 9
 
3.2%
남 7
 
2.5%
중 6
 
2.2%
Other values (63) 122
43.9%

대상 종가집
Categorical

CONSTANT 

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

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대상 종가집
2nd row대상 종가집
3rd row대상 종가집
4th row대상 종가집
5th row대상 종가집

Common Values

ValueCountFrequency (%)
대상 종가집 99
100.0%

Length

2023-12-10T15:41:57.227175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:41:57.347363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대상 99
50.0%
종가집 99
50.0%

Interactions

2023-12-10T15:41:52.182525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:41:51.922776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:41:52.322212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:41:52.035886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T15:41:57.432623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
745230부산광역시전체.2
741.0000.4560.0000.4850.802
520.4561.0000.1820.5700.941
300.0000.1821.0000.6900.000
부산광역시0.4850.5700.6901.0000.873
전체.20.8020.9410.0000.8731.000
2023-12-10T15:41:57.577770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
30부산광역시
301.0000.596
부산광역시0.5961.000
2023-12-10T15:41:57.724111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
745230부산광역시
741.0000.2440.0000.230
520.2441.0000.1300.241
300.0000.1301.0000.596
부산광역시0.2300.2410.5961.000

Missing values

2023-12-10T15:41:52.509547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T15:41:52.825197image/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

MT2018037452김치/절임식품전체전체.1230부산광역시전체.2대상 종가집
0MT2018039051김치/절임식품전체전체230부산광역시중구대상 종가집
1MT2018036256김치/절임식품전체전체230부산광역시동래구대상 종가집
2MT2018036145김치/절임식품전체전체230부산광역시사상구대상 종가집
3MT2018036746김치/절임식품전체전체230대구광역시전체대상 종가집
4MT201803646김치/절임식품전체전체230대구광역시달서구대상 종가집
5MT2018037847김치/절임식품전체전체230인천광역시전체대상 종가집
6MT2018037441김치/절임식품전체전체230인천광역시연수구대상 종가집
7MT20180381김치/절임식품전체전체230대전광역시중구대상 종가집
8MT2018037133김치/절임식품전체전체230경기도전체대상 종가집
9MT2018037434김치/절임식품전체전체230경기도의정부시대상 종가집
MT2018037452김치/절임식품전체전체.1230부산광역시전체.2대상 종가집
89MT2018036220김치/절임식품전체전체240서울특별시동대문구대상 종가집
90MT2018038915김치/절임식품전체전체240서울특별시중랑구대상 종가집
91MT2018037956김치/절임식품전체전체240서울특별시강북구대상 종가집
92MT2018035628김치/절임식품전체전체240서울특별시은평구대상 종가집
93MT2018034918김치/절임식품전체전체240서울특별시서대문구대상 종가집
94MT2018034651김치/절임식품전체전체240서울특별시금천구대상 종가집
95MT2018038150김치/절임식품전체전체240서울특별시영등포구대상 종가집
96MT2018033814김치/절임식품전체전체240서울특별시강동구대상 종가집
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