Overview

Dataset statistics

Number of variables5
Number of observations91
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.8 KiB
Average record size in memory42.5 B

Variable types

Numeric1
Text4

Dataset

Description전라북도 부안군 종량제봉투물류전산시스템 종량제 봉투 판매와 관련하여 지정판매소코드, 사업장이름, 전화번호 등의 항목을 제공합니다.
Author전라북도
URLhttps://www.bigdatahub.go.kr/index.jeonbuk?startPage=1&menuCd=DOM_000000103007001000&pListTypeStr=&pId=15063004

Alerts

지정판매소코드 has unique valuesUnique
사업장주소 has unique valuesUnique

Reproduction

Analysis started2024-03-14 03:02:29.712698
Analysis finished2024-03-14 03:02:30.565278
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지정판매소코드
Real number (ℝ)

UNIQUE 

Distinct91
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4140002 × 1010
Minimum2.4140001 × 1010
Maximum2.4140006 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2024-03-14T12:02:30.625914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.4140001 × 1010
5-th percentile2.4140001 × 1010
Q12.4140001 × 1010
median2.4140002 × 1010
Q32.4140003 × 1010
95-th percentile2.4140005 × 1010
Maximum2.4140006 × 1010
Range5001
Interquartile range (IQR)1995

Descriptive statistics

Standard deviation1555.1828
Coefficient of variation (CV)6.4423474 × 10-8
Kurtosis-0.9269644
Mean2.4140002 × 1010
Median Absolute Deviation (MAD)998
Skewness0.67040056
Sum2.1967402 × 1012
Variance2418593.6
MonotonicityNot monotonic
2024-03-14T12:02:30.739613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24140001001 1
 
1.1%
24140003007 1
 
1.1%
24140003020 1
 
1.1%
24140003019 1
 
1.1%
24140003018 1
 
1.1%
24140003016 1
 
1.1%
24140003017 1
 
1.1%
24140003014 1
 
1.1%
24140003013 1
 
1.1%
24140003011 1
 
1.1%
Other values (81) 81
89.0%
ValueCountFrequency (%)
24140001001 1
1.1%
24140001003 1
1.1%
24140001004 1
1.1%
24140001005 1
1.1%
24140001006 1
1.1%
24140001007 1
1.1%
24140001008 1
1.1%
24140001009 1
1.1%
24140001010 1
1.1%
24140001011 1
1.1%
ValueCountFrequency (%)
24140006002 1
1.1%
24140005029 1
1.1%
24140005027 1
1.1%
24140005025 1
1.1%
24140005024 1
1.1%
24140005023 1
1.1%
24140005022 1
1.1%
24140005012 1
1.1%
24140005011 1
1.1%
24140005010 1
1.1%

사업장이름
Text

Distinct88
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size860.0 B
2024-03-14T12:02:30.981175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.1868132
Min length2

Characters and Unicode

Total characters381
Distinct characters119
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)93.4%

Sample

1st row부안농업협동조합
2nd row알뜰슈퍼
3rd row코너슈퍼
4th row동남슈퍼
5th row현대슈퍼
ValueCountFrequency (%)
계화 3
 
3.0%
1마을 3
 
3.0%
창북 3
 
3.0%
안성마을 2
 
2.0%
3마을 2
 
2.0%
2마을 2
 
2.0%
본덕마을 2
 
2.0%
이장댁 2
 
2.0%
계화마을 2
 
2.0%
동산마을 1
 
1.0%
Other values (79) 79
78.2%
2024-03-14T12:02:31.393254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 35
 
9.2%
을 35
 
9.2%
퍼 28
 
7.3%
슈 21
 
5.5%
상 12
 
3.1%
동 11
 
2.9%
부 11
 
2.9%
10
 
2.6%
화 9
 
2.4%
회 9
 
2.4%
Other values (109) 200
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 362
95.0%
Space Separator 10
 
2.6%
Decimal Number 9
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 35
 
9.7%
을 35
 
9.7%
퍼 28
 
7.7%
슈 21
 
5.8%
상 12
 
3.3%
동 11
 
3.0%
부 11
 
3.0%
화 9
 
2.5%
회 9
 
2.5%
수 7
 
1.9%
Other values (104) 184
50.8%
Decimal Number
ValueCountFrequency (%)
1 3
33.3%
2 3
33.3%
3 2
22.2%
4 1
 
11.1%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 362
95.0%
Common 19
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 35
 
9.7%
을 35
 
9.7%
퍼 28
 
7.7%
슈 21
 
5.8%
상 12
 
3.3%
동 11
 
3.0%
부 11
 
3.0%
화 9
 
2.5%
회 9
 
2.5%
수 7
 
1.9%
Other values (104) 184
50.8%
Common
ValueCountFrequency (%)
10
52.6%
1 3
 
15.8%
2 3
 
15.8%
3 2
 
10.5%
4 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 362
95.0%
ASCII 19
 
5.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 35
 
9.7%
을 35
 
9.7%
퍼 28
 
7.7%
슈 21
 
5.8%
상 12
 
3.3%
동 11
 
3.0%
부 11
 
3.0%
화 9
 
2.5%
회 9
 
2.5%
수 7
 
1.9%
Other values (104) 184
50.8%
ASCII
ValueCountFrequency (%)
10
52.6%
1 3
 
15.8%
2 3
 
15.8%
3 2
 
10.5%
4 1
 
5.3%

대표자
Text

Distinct90
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size860.0 B
2024-03-14T12:02:31.641122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters273
Distinct characters97
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

Unique89 ?
Unique (%)97.8%

Sample

1st row김원철
2nd row홍진옥
3rd row김명순
4th row김남철
5th row박인숙
ValueCountFrequency (%)
최덕례 2
 
2.2%
라경옥 1
 
1.1%
김윤순 1
 
1.1%
허재현 1
 
1.1%
김경기 1
 
1.1%
김석조 1
 
1.1%
이정회 1
 
1.1%
김형대 1
 
1.1%
김금자 1
 
1.1%
조찬례 1
 
1.1%
Other values (80) 80
87.9%
2024-03-14T12:02:31.957346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 22
 
8.1%
이 19
 
7.0%
순 12
 
4.4%
기 10
 
3.7%
례 8
 
2.9%
정 8
 
2.9%
조 7
 
2.6%
동 6
 
2.2%
자 6
 
2.2%
숙 5
 
1.8%
Other values (87) 170
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 273
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 22
 
8.1%
이 19
 
7.0%
순 12
 
4.4%
기 10
 
3.7%
례 8
 
2.9%
정 8
 
2.9%
조 7
 
2.6%
동 6
 
2.2%
자 6
 
2.2%
숙 5
 
1.8%
Other values (87) 170
62.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 273
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 22
 
8.1%
이 19
 
7.0%
순 12
 
4.4%
기 10
 
3.7%
례 8
 
2.9%
정 8
 
2.9%
조 7
 
2.6%
동 6
 
2.2%
자 6
 
2.2%
숙 5
 
1.8%
Other values (87) 170
62.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 273
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 22
 
8.1%
이 19
 
7.0%
순 12
 
4.4%
기 10
 
3.7%
례 8
 
2.9%
정 8
 
2.9%
조 7
 
2.6%
동 6
 
2.2%
자 6
 
2.2%
숙 5
 
1.8%
Other values (87) 170
62.3%

전화번호
Text

Distinct90
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size860.0 B
2024-03-14T12:02:32.179146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1092
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)97.8%

Sample

1st row063-581-1020
2nd row063-584-2848
3rd row063-582-9146
4th row063-582-4406
5th row063-584-3224
ValueCountFrequency (%)
063-584-2889 2
 
2.2%
063-582-6534 1
 
1.1%
063-584-5296 1
 
1.1%
063-583-8125 1
 
1.1%
063-583-0021 1
 
1.1%
063-583-2182 1
 
1.1%
063-584-5187 1
 
1.1%
063-584-5103 1
 
1.1%
063-581-2434 1
 
1.1%
063-583-5316 1
 
1.1%
Other values (80) 80
87.9%
2024-03-14T12:02:32.477250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 182
16.7%
3 147
13.5%
6 141
12.9%
5 124
11.4%
8 121
11.1%
0 118
10.8%
2 72
 
6.6%
4 69
 
6.3%
1 55
 
5.0%
9 36
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 910
83.3%
Dash Punctuation 182
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 147
16.2%
6 141
15.5%
5 124
13.6%
8 121
13.3%
0 118
13.0%
2 72
7.9%
4 69
7.6%
1 55
 
6.0%
9 36
 
4.0%
7 27
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 182
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1092
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 182
16.7%
3 147
13.5%
6 141
12.9%
5 124
11.4%
8 121
11.1%
0 118
10.8%
2 72
 
6.6%
4 69
 
6.3%
1 55
 
5.0%
9 36
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1092
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 182
16.7%
3 147
13.5%
6 141
12.9%
5 124
11.4%
8 121
11.1%
0 118
10.8%
2 72
 
6.6%
4 69
 
6.3%
1 55
 
5.0%
9 36
 
3.3%

사업장주소
Text

UNIQUE 

Distinct91
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size860.0 B
2024-03-14T12:02:32.676371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length8.0659341
Min length5

Characters and Unicode

Total characters734
Distinct characters76
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)100.0%

Sample

1st row서외리8-5
2nd row동중리81-6
3rd row동중리107
4th row낭주길 30-1
5th row동중리 166
ValueCountFrequency (%)
서외리 7
 
3.8%
계화리 7
 
3.8%
봉덕리 6
 
3.3%
창북리 6
 
3.3%
동중리 5
 
2.7%
선은리 5
 
2.7%
안성리 4
 
2.2%
하장리 4
 
2.2%
의복리 3
 
1.6%
덕림리 3
 
1.6%
Other values (118) 132
72.5%
2024-03-14T12:02:32.963010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
91
 
12.4%
리 80
 
10.9%
1 58
 
7.9%
- 41
 
5.6%
2 37
 
5.0%
4 37
 
5.0%
5 35
 
4.8%
7 27
 
3.7%
0 26
 
3.5%
3 25
 
3.4%
Other values (66) 277
37.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 309
42.1%
Other Letter 289
39.4%
Space Separator 91
 
12.4%
Dash Punctuation 41
 
5.6%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%
Modifier Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 80
27.7%
덕 11
 
3.8%
동 10
 
3.5%
계 9
 
3.1%
서 9
 
3.1%
외 9
 
3.1%
봉 9
 
3.1%
로 8
 
2.8%
화 7
 
2.4%
장 7
 
2.4%
Other values (50) 130
45.0%
Decimal Number
ValueCountFrequency (%)
1 58
18.8%
2 37
12.0%
4 37
12.0%
5 35
11.3%
7 27
8.7%
0 26
8.4%
3 25
8.1%
6 24
7.8%
8 24
7.8%
9 16
 
5.2%
Space Separator
ValueCountFrequency (%)
91
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 445
60.6%
Hangul 289
39.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 80
27.7%
덕 11
 
3.8%
동 10
 
3.5%
계 9
 
3.1%
서 9
 
3.1%
외 9
 
3.1%
봉 9
 
3.1%
로 8
 
2.8%
화 7
 
2.4%
장 7
 
2.4%
Other values (50) 130
45.0%
Common
ValueCountFrequency (%)
91
20.4%
1 58
13.0%
- 41
9.2%
2 37
8.3%
4 37
8.3%
5 35
 
7.9%
7 27
 
6.1%
0 26
 
5.8%
3 25
 
5.6%
6 24
 
5.4%
Other values (6) 44
9.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 445
60.6%
Hangul 289
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
91
20.4%
1 58
13.0%
- 41
9.2%
2 37
8.3%
4 37
8.3%
5 35
 
7.9%
7 27
 
6.1%
0 26
 
5.8%
3 25
 
5.6%
6 24
 
5.4%
Other values (6) 44
9.9%
Hangul
ValueCountFrequency (%)
리 80
27.7%
덕 11
 
3.8%
동 10
 
3.5%
계 9
 
3.1%
서 9
 
3.1%
외 9
 
3.1%
봉 9
 
3.1%
로 8
 
2.8%
화 7
 
2.4%
장 7
 
2.4%
Other values (50) 130
45.0%

Interactions

2024-03-14T12:02:30.381258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T12:02:33.048856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정판매소코드사업장이름대표자전화번호사업장주소
지정판매소코드1.0001.0001.0001.0001.000
사업장이름1.0001.0000.9960.9961.000
대표자1.0000.9961.0000.9991.000
전화번호1.0000.9960.9991.0001.000
사업장주소1.0001.0001.0001.0001.000

Missing values

2024-03-14T12:02:30.465442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T12:02:30.536360image/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

지정판매소코드사업장이름대표자전화번호사업장주소
024140001001부안농업협동조합김원철063-581-1020서외리8-5
124140001003알뜰슈퍼홍진옥063-584-2848동중리81-6
224140001004코너슈퍼김명순063-582-9146동중리107
324140001005동남슈퍼김남철063-582-4406낭주길 30-1
424140001006현대슈퍼박인숙063-584-3224동중리 166
524140001007임실슈퍼노규석063-582-1069동중리 132-40
624140001008동부슈퍼김영자063-584-4398동중리 236-5
724140001009전북칠성슈퍼주화순063-584-2889석정로 170
824140001010아씨화장품이미숙063-584-6784부풍로 31
924140001011남양상회김재환063-584-2889서외리 148-4
지정판매소코드사업장이름대표자전화번호사업장주소
8124140005010은다방서동식063-581-0205계화리 250
8224140005011계상마을이덕례063-582-1310계화리 135
8324140005022창북 3마을김점순063-582-3869창북리 502-4
8424140005023창북 2마을전명순063-583-1139창북리 489-2
8524140005024창북 1마을고효순063-582-1116창북리 400
8624140005025신창마을박순례063-582-3945창북리 954
8724140005027금산마을이정노063-582-1532창북리 363
8824140005029원창마을김안옥063-583-2022창북리 904
8924140006002부곡마을조성규063-584-5676부곡리 126
9024140005012조포 4마을이형님063-582-1382양산리 873