Overview

Dataset statistics

Number of variables5
Number of observations54
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory43.4 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
대표자 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 03:02:21.457330
Analysis finished2024-03-14 03:02:21.909351
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지정판매소코드
Real number (ℝ)

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4140005 × 1010
Minimum2.4140001 × 1010
Maximum2.4140013 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-03-14T12:02:21.966005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.4140001 × 1010
5-th percentile2.4140001 × 1010
Q12.4140001 × 1010
median2.4140003 × 1010
Q32.4140008 × 1010
95-th percentile2.4140012 × 1010
Maximum2.4140013 × 1010
Range12007
Interquartile range (IQR)6907

Descriptive statistics

Standard deviation4267.4663
Coefficient of variation (CV)1.7677984 × 10-7
Kurtosis-1.2459711
Mean2.4140005 × 1010
Median Absolute Deviation (MAD)2007
Skewness0.56371686
Sum1.3035603 × 1012
Variance18211268
MonotonicityNot monotonic
2024-03-14T12:02:22.082209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24140001001 1
 
1.9%
24140005037 1
 
1.9%
24140006011 1
 
1.9%
24140012019 1
 
1.9%
24140001108 1
 
1.9%
24140001109 1
 
1.9%
24140013008 1
 
1.9%
24140008025 1
 
1.9%
24140011017 1
 
1.9%
24140004004 1
 
1.9%
Other values (44) 44
81.5%
ValueCountFrequency (%)
24140001001 1
1.9%
24140001005 1
1.9%
24140001014 1
1.9%
24140001015 1
1.9%
24140001036 1
1.9%
24140001055 1
1.9%
24140001065 1
1.9%
24140001070 1
1.9%
24140001089 1
1.9%
24140001096 1
1.9%
ValueCountFrequency (%)
24140013008 1
1.9%
24140012020 1
1.9%
24140012019 1
1.9%
24140012010 1
1.9%
24140012007 1
1.9%
24140012005 1
1.9%
24140012004 1
1.9%
24140011017 1
1.9%
24140011008 1
1.9%
24140011004 1
1.9%

사업장이름
Text

Distinct53
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-03-14T12:02:22.273078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length5.9814815
Min length3

Characters and Unicode

Total characters323
Distinct characters117
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)96.3%

Sample

1st row부안농업협동조합
2nd row동남슈퍼
3rd row막내슈퍼
4th row부림상회
5th row현대지업사
ValueCountFrequency (%)
하서농협 2
 
3.1%
gs25 2
 
3.1%
부안변산점 2
 
3.1%
유한회사 1
 
1.6%
해피트리가족호텔 1
 
1.6%
남궁상회 1
 
1.6%
천변슈퍼 1
 
1.6%
홈마트 1
 
1.6%
오성상회 1
 
1.6%
변산농업협동조합위도지소 1
 
1.6%
Other values (51) 51
79.7%
2024-03-14T12:02:22.667934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
퍼 15
 
4.6%
부 14
 
4.3%
슈 14
 
4.3%
안 11
 
3.4%
농 11
 
3.4%
협 11
 
3.4%
트 10
 
3.1%
10
 
3.1%
마 9
 
2.8%
산 8
 
2.5%
Other values (107) 210
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 301
93.2%
Space Separator 10
 
3.1%
Decimal Number 6
 
1.9%
Uppercase Letter 4
 
1.2%
Close Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
퍼 15
 
5.0%
부 14
 
4.7%
슈 14
 
4.7%
안 11
 
3.7%
농 11
 
3.7%
협 11
 
3.7%
트 10
 
3.3%
마 9
 
3.0%
산 8
 
2.7%
업 8
 
2.7%
Other values (98) 190
63.1%
Decimal Number
ValueCountFrequency (%)
5 2
33.3%
2 2
33.3%
1 1
16.7%
6 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
S 2
50.0%
G 2
50.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 301
93.2%
Common 18
 
5.6%
Latin 4
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
퍼 15
 
5.0%
부 14
 
4.7%
슈 14
 
4.7%
안 11
 
3.7%
농 11
 
3.7%
협 11
 
3.7%
트 10
 
3.3%
마 9
 
3.0%
산 8
 
2.7%
업 8
 
2.7%
Other values (98) 190
63.1%
Common
ValueCountFrequency (%)
10
55.6%
5 2
 
11.1%
2 2
 
11.1%
) 1
 
5.6%
( 1
 
5.6%
1 1
 
5.6%
6 1
 
5.6%
Latin
ValueCountFrequency (%)
S 2
50.0%
G 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 301
93.2%
ASCII 22
 
6.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
퍼 15
 
5.0%
부 14
 
4.7%
슈 14
 
4.7%
안 11
 
3.7%
농 11
 
3.7%
협 11
 
3.7%
트 10
 
3.3%
마 9
 
3.0%
산 8
 
2.7%
업 8
 
2.7%
Other values (98) 190
63.1%
ASCII
ValueCountFrequency (%)
10
45.5%
5 2
 
9.1%
2 2
 
9.1%
S 2
 
9.1%
G 2
 
9.1%
) 1
 
4.5%
( 1
 
4.5%
1 1
 
4.5%
6 1
 
4.5%

대표자
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-03-14T12:02:22.884964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.2777778
Min length3

Characters and Unicode

Total characters177
Distinct characters86
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)100.0%

Sample

1st row김원철
2nd row김남철
3rd row이동복
4th row노상훈
5th row김형숙
ValueCountFrequency (%)
김원철 1
 
1.9%
이재을 1
 
1.9%
오창일 1
 
1.9%
이석훈 1
 
1.9%
김용순 1
 
1.9%
이병학 1
 
1.9%
전용호 1
 
1.9%
이양이 1
 
1.9%
김병식 1
 
1.9%
김해란 1
 
1.9%
Other values (44) 44
81.5%
2024-03-14T12:02:23.214207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 13
 
7.3%
김 12
 
6.8%
영 7
 
4.0%
병 6
 
3.4%
철 5
 
2.8%
석 5
 
2.8%
식 4
 
2.3%
한 4
 
2.3%
순 4
 
2.3%
박 4
 
2.3%
Other values (76) 113
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 176
99.4%
Other Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 13
 
7.4%
김 12
 
6.8%
영 7
 
4.0%
병 6
 
3.4%
철 5
 
2.8%
석 5
 
2.8%
식 4
 
2.3%
한 4
 
2.3%
순 4
 
2.3%
박 4
 
2.3%
Other values (75) 112
63.6%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 176
99.4%
Common 1
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 13
 
7.4%
김 12
 
6.8%
영 7
 
4.0%
병 6
 
3.4%
철 5
 
2.8%
석 5
 
2.8%
식 4
 
2.3%
한 4
 
2.3%
순 4
 
2.3%
박 4
 
2.3%
Other values (75) 112
63.6%
Common
ValueCountFrequency (%)
, 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 176
99.4%
ASCII 1
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 13
 
7.4%
김 12
 
6.8%
영 7
 
4.0%
병 6
 
3.4%
철 5
 
2.8%
석 5
 
2.8%
식 4
 
2.3%
한 4
 
2.3%
순 4
 
2.3%
박 4
 
2.3%
Other values (75) 112
63.6%
ASCII
ValueCountFrequency (%)
, 1
100.0%

전화번호
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-03-14T12:02:23.414979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters648
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

Unique54 ?
Unique (%)100.0%

Sample

1st row063-581-1020
2nd row063-582-4406
3rd row063-584-6290
4th row063-584-5361
5th row063-583-3132
ValueCountFrequency (%)
063-581-1020 1
 
1.9%
063-584-8003 1
 
1.9%
063-581-7733 1
 
1.9%
063-581-2321 1
 
1.9%
063-582-3019 1
 
1.9%
063-583-8267 1
 
1.9%
063-584-6773 1
 
1.9%
063-581-5479 1
 
1.9%
063-583-3805 1
 
1.9%
063-582-7238 1
 
1.9%
Other values (44) 44
81.5%
2024-03-14T12:02:23.925284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 108
16.7%
0 88
13.6%
3 85
13.1%
8 81
12.5%
5 75
11.6%
6 70
10.8%
4 47
7.3%
1 30
 
4.6%
2 29
 
4.5%
7 18
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 540
83.3%
Dash Punctuation 108
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 88
16.3%
3 85
15.7%
8 81
15.0%
5 75
13.9%
6 70
13.0%
4 47
8.7%
1 30
 
5.6%
2 29
 
5.4%
7 18
 
3.3%
9 17
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 648
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 108
16.7%
0 88
13.6%
3 85
13.1%
8 81
12.5%
5 75
11.6%
6 70
10.8%
4 47
7.3%
1 30
 
4.6%
2 29
 
4.5%
7 18
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 648
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 108
16.7%
0 88
13.6%
3 85
13.1%
8 81
12.5%
5 75
11.6%
6 70
10.8%
4 47
7.3%
1 30
 
4.6%
2 29
 
4.5%
7 18
 
2.8%

사업장주소
Text

Distinct52
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-03-14T12:02:24.174051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length20.37037
Min length18

Characters and Unicode

Total characters1100
Distinct characters81
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)92.6%

Sample

1st row전라북도 부안군 부안읍 번영로 140
2nd row전라북도 부안군 부안읍 번영로 173
3rd row전라북도 부안군 부안읍 당산로 54
4th row전라북도 부안군 부안읍 시장길 14-1
5th row전라북도 부안군 부안읍 시장길 5-1
ValueCountFrequency (%)
전라북도 54
19.9%
부안군 54
19.9%
부안읍 24
 
8.8%
변산면 8
 
2.9%
번영로 6
 
2.2%
줄포면 6
 
2.2%
부안로 4
 
1.5%
시장길 4
 
1.5%
석정로 4
 
1.5%
하서길 3
 
1.1%
Other values (88) 105
38.6%
2024-03-14T12:02:24.503244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
218
19.8%
안 87
 
7.9%
부 86
 
7.8%
도 56
 
5.1%
전 55
 
5.0%
북 54
 
4.9%
군 54
 
4.9%
라 54
 
4.9%
1 38
 
3.5%
로 33
 
3.0%
Other values (71) 365
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 729
66.3%
Space Separator 218
 
19.8%
Decimal Number 139
 
12.6%
Dash Punctuation 10
 
0.9%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 87
11.9%
부 86
11.8%
도 56
 
7.7%
전 55
 
7.5%
북 54
 
7.4%
군 54
 
7.4%
라 54
 
7.4%
로 33
 
4.5%
면 30
 
4.1%
읍 24
 
3.3%
Other values (57) 196
26.9%
Decimal Number
ValueCountFrequency (%)
1 38
27.3%
2 16
11.5%
4 16
11.5%
9 15
 
10.8%
5 11
 
7.9%
8 10
 
7.2%
7 10
 
7.2%
3 9
 
6.5%
6 9
 
6.5%
0 5
 
3.6%
Space Separator
ValueCountFrequency (%)
218
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 729
66.3%
Common 371
33.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 87
11.9%
부 86
11.8%
도 56
 
7.7%
전 55
 
7.5%
북 54
 
7.4%
군 54
 
7.4%
라 54
 
7.4%
로 33
 
4.5%
면 30
 
4.1%
읍 24
 
3.3%
Other values (57) 196
26.9%
Common
ValueCountFrequency (%)
218
58.8%
1 38
 
10.2%
2 16
 
4.3%
4 16
 
4.3%
9 15
 
4.0%
5 11
 
3.0%
8 10
 
2.7%
7 10
 
2.7%
- 10
 
2.7%
3 9
 
2.4%
Other values (4) 18
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 729
66.3%
ASCII 371
33.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
218
58.8%
1 38
 
10.2%
2 16
 
4.3%
4 16
 
4.3%
9 15
 
4.0%
5 11
 
3.0%
8 10
 
2.7%
7 10
 
2.7%
- 10
 
2.7%
3 9
 
2.4%
Other values (4) 18
 
4.9%
Hangul
ValueCountFrequency (%)
안 87
11.9%
부 86
11.8%
도 56
 
7.7%
전 55
 
7.5%
북 54
 
7.4%
군 54
 
7.4%
라 54
 
7.4%
로 33
 
4.5%
면 30
 
4.1%
읍 24
 
3.3%
Other values (57) 196
26.9%

Interactions

2024-03-14T12:02:21.692114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T12:02:24.626785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정판매소코드사업장이름대표자전화번호사업장주소
지정판매소코드1.0001.0001.0001.0001.000
사업장이름1.0001.0001.0001.0001.000
대표자1.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000
사업장주소1.0001.0001.0001.0001.000

Missing values

2024-03-14T12:02:21.787679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T12:02:21.872607image/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
024140001001부안농업협동조합김원철063-581-1020전라북도 부안군 부안읍 번영로 140
124140001005동남슈퍼김남철063-582-4406전라북도 부안군 부안읍 번영로 173
224140001014막내슈퍼이동복063-584-6290전라북도 부안군 부안읍 당산로 54
324140001015부림상회노상훈063-584-5361전라북도 부안군 부안읍 시장길 14-1
424140001036현대지업사김형숙063-583-3132전라북도 부안군 부안읍 시장길 5-1
524140007009상록슈퍼허금례063-583-6358전라북도 부안군 변산면 언포길 1
624140009002평교농약사유종남063-582-2071전라북도 부안군 백산면 백산로 299
724140012010제일슈퍼김규진063-582-0354전라북도 부안군 줄포면 우포로 17
824140011004현대슈퍼온병엽063-582-4019전라북도 부안군 하서면 하서길 34
924140012004한성슈퍼한옥근063-583-1605전라북도 부안군 줄포면 줄포중앙로 41
지정판매소코드사업장이름대표자전화번호사업장주소
4424140010030무성슈퍼한진섭063-584-6543전라북도 부안군 상서면 부안로 1987
4524140001149럭키지업사이병언063-584-5554전라북도 부안군 부안읍 시장길 23-1
4624140012020줄포 효마트이시영063-584-0049전라북도 부안군 줄포면 부안로 880-1
4724140001154GS25 부안1호점권점순063-584-4043전라북도 부안군 부안읍 동중1길 15
4824140001157삼원수퍼이상훈063-584-3088전라북도 부안군 부안읍 시장길 9
4924140001161동부주유소이영식063-584-3455전라북도 부안군 부안읍 석정로 87
5024140007073해피트리가족호텔 유한회사이영철063-581-4000전라북도 부안군 변산면 변산해변로 292
5124140001167부안사랑마트나미현063-581-0099전라북도 부안군 부안읍 석정로 256
5224140007072씨유 부안변산점오창일063-581-7733전라북도 부안군 변산면 지서로 71
5324140001182한국공구철물점김의정063-582-7909전라북도 부안군 부안읍 번영로 169