Overview

Dataset statistics

Number of variables12
Number of observations99
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.7 KiB
Average record size in memory100.3 B

Variable types

Categorical10
Text1
Numeric1

Dataset

DescriptionSample
Author(주)제로투원파트너스
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=ZTO001CGI

Alerts

2018 has constant value ""Constant
2018H1 has constant value ""Constant
2018Q1 has constant value ""Constant
201801 has constant value ""Constant
전체.1 has constant value ""Constant
A20 has constant value ""Constant
전통주 has constant value ""Constant
전체.2 has constant value ""Constant
전체.3 has constant value ""Constant

Reproduction

Analysis started2023-12-10 06:46:39.473307
Analysis finished2023-12-10 06:46:40.124971
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

2018
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2018
99 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018
2nd row2018
3rd row2018
4th row2018
5th row2018

Common Values

ValueCountFrequency (%)
2018 99
100.0%

Length

2023-12-10T15:46:40.205285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:46:40.331168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018 99
100.0%

2018H1
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2018H1
99 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018H1
2nd row2018H1
3rd row2018H1
4th row2018H1
5th row2018H1

Common Values

ValueCountFrequency (%)
2018H1 99
100.0%

Length

2023-12-10T15:46:40.461728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:46:40.589625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018h1 99
100.0%

전체
Text

Distinct72
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Memory size924.0 B
2023-12-10T15:46:40.873397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.7676768
Min length2

Characters and Unicode

Total characters274
Distinct characters74
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

Unique65 ?
Unique (%)65.7%

Sample

1st row전체
2nd row종로구
3rd row중구
4th row용산구
5th row성동구
ValueCountFrequency (%)
전체 9
 
9.1%
중구 6
 
6.1%
동구 5
 
5.1%
북구 4
 
4.0%
남구 4
 
4.0%
서구 4
 
4.0%
강서구 2
 
2.0%
계양구 1
 
1.0%
수원시 1
 
1.0%
울주군 1
 
1.0%
Other values (62) 62
62.6%
2023-12-10T15:46:41.392471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 69
25.2%
시 21
 
7.7%
동 12
 
4.4%
전 9
 
3.3%
남 9
 
3.3%
서 9
 
3.3%
체 9
 
3.3%
중 7
 
2.6%
성 6
 
2.2%
북 6
 
2.2%
Other values (64) 117
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 274
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 69
25.2%
시 21
 
7.7%
동 12
 
4.4%
전 9
 
3.3%
남 9
 
3.3%
서 9
 
3.3%
체 9
 
3.3%
중 7
 
2.6%
성 6
 
2.2%
북 6
 
2.2%
Other values (64) 117
42.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 274
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 69
25.2%
시 21
 
7.7%
동 12
 
4.4%
전 9
 
3.3%
남 9
 
3.3%
서 9
 
3.3%
체 9
 
3.3%
중 7
 
2.6%
성 6
 
2.2%
북 6
 
2.2%
Other values (64) 117
42.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 274
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 69
25.2%
시 21
 
7.7%
동 12
 
4.4%
전 9
 
3.3%
남 9
 
3.3%
서 9
 
3.3%
체 9
 
3.3%
중 7
 
2.6%
성 6
 
2.2%
북 6
 
2.2%
Other values (64) 117
42.7%

88
Real number (ℝ)

Distinct64
Distinct (%)64.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.787879
Minimum13
Maximum278
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-10T15:46:41.573755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile46.8
Q173
median89
Q399.5
95-th percentile131.7
Maximum278
Range265
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation34.746685
Coefficient of variation (CV)0.38698636
Kurtosis9.6303173
Mean89.787879
Median Absolute Deviation (MAD)13
Skewness2.1770749
Sum8889
Variance1207.3321
MonotonicityNot monotonic
2023-12-10T15:46:41.747057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
76 6
 
6.1%
94 5
 
5.1%
96 4
 
4.0%
95 3
 
3.0%
90 3
 
3.0%
89 3
 
3.0%
93 2
 
2.0%
73 2
 
2.0%
62 2
 
2.0%
88 2
 
2.0%
Other values (54) 67
67.7%
ValueCountFrequency (%)
13 1
1.0%
28 1
1.0%
39 1
1.0%
43 1
1.0%
45 1
1.0%
47 1
1.0%
49 2
2.0%
52 1
1.0%
54 1
1.0%
55 1
1.0%
ValueCountFrequency (%)
278 1
1.0%
208 1
1.0%
197 1
1.0%
156 1
1.0%
147 1
1.0%
130 1
1.0%
129 1
1.0%
128 1
1.0%
123 1
1.0%
120 1
1.0%

2018Q1
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2018Q1
99 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018Q1
2nd row2018Q1
3rd row2018Q1
4th row2018Q1
5th row2018Q1

Common Values

ValueCountFrequency (%)
2018Q1 99
100.0%

Length

2023-12-10T15:46:41.903125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:46:42.007866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018q1 99
100.0%

201801
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
201801
99 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row201801
2nd row201801
3rd row201801
4th row201801
5th row201801

Common Values

ValueCountFrequency (%)
201801 99
100.0%

Length

2023-12-10T15:46:42.101801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:46:42.206345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
201801 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

2023-12-10T15:46:42.309917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:46:42.412441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체 99
100.0%

A20
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
A20
99 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA20
2nd rowA20
3rd rowA20
4th rowA20
5th rowA20

Common Values

ValueCountFrequency (%)
A20 99
100.0%

Length

2023-12-10T15:46:42.516464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:46:42.635019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a20 99
100.0%

전통주
Categorical

CONSTANT 

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

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전통주 99
100.0%

Length

2023-12-10T15:46:42.853713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:46:43.163359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전통주 99
100.0%

전체.2
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

2023-12-10T15:46:43.304015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:46:43.442702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체 99
100.0%

전체.3
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

2023-12-10T15:46:43.564715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:46:43.671586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체 99
100.0%

전체.4
Categorical

Distinct9
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size924.0 B
서울특별시
26 
경기도
21 
부산광역시
16 
대구광역시
9 
인천광역시
9 
Other values (4)
18 

Length

Max length7
Median length5
Mean length4.5959596
Min length3

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시 26
26.3%
경기도 21
21.2%
부산광역시 16
16.2%
대구광역시 9
 
9.1%
인천광역시 9
 
9.1%
광주광역시 6
 
6.1%
대전광역시 6
 
6.1%
울산광역시 5
 
5.1%
세종특별자치시 1
 
1.0%

Length

2023-12-10T15:46:43.811831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:46:43.970354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 26
26.3%
경기도 21
21.2%
부산광역시 16
16.2%
대구광역시 9
 
9.1%
인천광역시 9
 
9.1%
광주광역시 6
 
6.1%
대전광역시 6
 
6.1%
울산광역시 5
 
5.1%
세종특별자치시 1
 
1.0%

Interactions

2023-12-10T15:46:39.676516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T15:46:44.087563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전체88전체.4
전체1.0000.0000.000
880.0001.0000.556
전체.40.0000.5561.000
2023-12-10T15:46:44.198186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
88전체.4
881.0000.205
전체.40.2051.000

Missing values

2023-12-10T15:46:39.831375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T15:46:40.022843image/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

20182018H1전체882018Q1201801전체.1A20전통주전체.2전체.3전체.4
020182018H1전체912018Q1201801전체A20전통주전체전체서울특별시
120182018H1종로구1472018Q1201801전체A20전통주전체전체서울특별시
220182018H1중구1232018Q1201801전체A20전통주전체전체서울특별시
320182018H1용산구522018Q1201801전체A20전통주전체전체서울특별시
420182018H1성동구942018Q1201801전체A20전통주전체전체서울특별시
520182018H1광진구952018Q1201801전체A20전통주전체전체서울특별시
620182018H1동대문구952018Q1201801전체A20전통주전체전체서울특별시
720182018H1중랑구432018Q1201801전체A20전통주전체전체서울특별시
820182018H1성북구1042018Q1201801전체A20전통주전체전체서울특별시
920182018H1강북구1022018Q1201801전체A20전통주전체전체서울특별시
20182018H1전체882018Q1201801전체.1A20전통주전체.2전체.3전체.4
8920182018H1과천시492018Q1201801전체A20전통주전체전체경기도
9020182018H1구리시812018Q1201801전체A20전통주전체전체경기도
9120182018H1남양주시1012018Q1201801전체A20전통주전체전체경기도
9220182018H1오산시632018Q1201801전체A20전통주전체전체경기도
9320182018H1시흥시1202018Q1201801전체A20전통주전체전체경기도
9420182018H1군포시652018Q1201801전체A20전통주전체전체경기도
9520182018H1의왕시822018Q1201801전체A20전통주전체전체경기도
9620182018H1하남시732018Q1201801전체A20전통주전체전체경기도
9720182018H1용인시1122018Q1201801전체A20전통주전체전체경기도
9820182018H1파주시762018Q1201801전체A20전통주전체전체경기도