Overview

Dataset statistics

Number of variables8
Number of observations167
Missing cells0
Missing cells (%)0.0%
Duplicate rows21
Duplicate rows (%)12.6%
Total size in memory11.1 KiB
Average record size in memory67.8 B

Variable types

Text4
Categorical1
Numeric3

Dataset

Description충청남도 예산군 음식물쓰레기 다량배출사업장 현황입니다.(사업장 주소, 연락처, 사업장 구분, 규모, 배출량, 처리방법 등 제공)
Author충청남도 예산군
URLhttps://www.data.go.kr/data/15094263/fileData.do

Alerts

Dataset has 21 (12.6%) duplicate rowsDuplicates
규모 is highly overall correlated with 사업장구분High correlation
월배출예상 is highly overall correlated with 년배출예상High correlation
년배출예상 is highly overall correlated with 월배출예상High correlation
사업장구분 is highly overall correlated with 규모High correlation

Reproduction

Analysis started2024-03-14 11:14:24.219634
Analysis finished2024-03-14 11:14:27.786728
Duration3.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인허가관리번호
Text

Distinct136
Distinct (%)81.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-14T20:14:28.352404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters3507
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

Unique115 ?
Unique (%)68.9%

Sample

1st row4610000-38-2009-00035
2nd row4610000-38-2009-00043
3rd row4610000-38-2019-00001
4th row4610000-38-2013-00002
5th row4610000-38-2017-00033
ValueCountFrequency (%)
4610000-38-2023-00004 3
 
1.8%
4610000-38-2023-00005 3
 
1.8%
4610000-38-2018-00020 3
 
1.8%
4610000-38-2019-00012 3
 
1.8%
4610000-38-2019-00011 3
 
1.8%
4610000-38-2017-00051 3
 
1.8%
4610000-38-2017-00027 3
 
1.8%
4610000-38-2024-00001 3
 
1.8%
4610000-38-2008-00007 3
 
1.8%
4610000-38-2023-00006 3
 
1.8%
Other values (126) 137
82.0%
2024-03-14T20:14:29.491616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1446
41.2%
- 501
 
14.3%
1 329
 
9.4%
2 268
 
7.6%
3 234
 
6.7%
8 207
 
5.9%
4 203
 
5.8%
6 199
 
5.7%
7 50
 
1.4%
9 40
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3006
85.7%
Dash Punctuation 501
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1446
48.1%
1 329
 
10.9%
2 268
 
8.9%
3 234
 
7.8%
8 207
 
6.9%
4 203
 
6.8%
6 199
 
6.6%
7 50
 
1.7%
9 40
 
1.3%
5 30
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 501
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3507
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1446
41.2%
- 501
 
14.3%
1 329
 
9.4%
2 268
 
7.6%
3 234
 
6.7%
8 207
 
5.9%
4 203
 
5.8%
6 199
 
5.7%
7 50
 
1.4%
9 40
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3507
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1446
41.2%
- 501
 
14.3%
1 329
 
9.4%
2 268
 
7.6%
3 234
 
6.7%
8 207
 
5.9%
4 203
 
5.8%
6 199
 
5.7%
7 50
 
1.4%
9 40
 
1.1%

대표자명
Text

Distinct116
Distinct (%)69.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-14T20:14:30.578196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.1497006
Min length2

Characters and Unicode

Total characters526
Distinct characters113
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique94 ?
Unique (%)56.3%

Sample

1st row학교장
2nd row이영숙
3rd row고명자
4th row송기연
5th row양영란
ValueCountFrequency (%)
학교장 16
 
9.1%
이태섭 5
 
2.9%
김미영 4
 
2.3%
고동환 4
 
2.3%
외 4
 
2.3%
임미화 3
 
1.7%
유진희 3
 
1.7%
이윤수 3
 
1.7%
정진곤 3
 
1.7%
김옥단 3
 
1.7%
Other values (111) 127
72.6%
2024-03-14T20:14:32.084398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 33
 
6.3%
이 31
 
5.9%
학 18
 
3.4%
장 18
 
3.4%
교 18
 
3.4%
정 17
 
3.2%
영 13
 
2.5%
유 12
 
2.3%
희 11
 
2.1%
수 11
 
2.1%
Other values (103) 344
65.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 513
97.5%
Space Separator 8
 
1.5%
Decimal Number 4
 
0.8%
Connector Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 33
 
6.4%
이 31
 
6.0%
학 18
 
3.5%
장 18
 
3.5%
교 18
 
3.5%
정 17
 
3.3%
영 13
 
2.5%
유 12
 
2.3%
희 11
 
2.1%
수 11
 
2.1%
Other values (98) 331
64.5%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
2 1
25.0%
3 1
25.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 513
97.5%
Common 13
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 33
 
6.4%
이 31
 
6.0%
학 18
 
3.5%
장 18
 
3.5%
교 18
 
3.5%
정 17
 
3.3%
영 13
 
2.5%
유 12
 
2.3%
희 11
 
2.1%
수 11
 
2.1%
Other values (98) 331
64.5%
Common
ValueCountFrequency (%)
8
61.5%
1 2
 
15.4%
_ 1
 
7.7%
2 1
 
7.7%
3 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 513
97.5%
ASCII 13
 
2.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 33
 
6.4%
이 31
 
6.0%
학 18
 
3.5%
장 18
 
3.5%
교 18
 
3.5%
정 17
 
3.3%
영 13
 
2.5%
유 12
 
2.3%
희 11
 
2.1%
수 11
 
2.1%
Other values (98) 331
64.5%
ASCII
ValueCountFrequency (%)
8
61.5%
1 2
 
15.4%
_ 1
 
7.7%
2 1
 
7.7%
3 1
 
7.7%

상호
Text

Distinct136
Distinct (%)81.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-14T20:14:33.256089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length18
Mean length7.7365269
Min length2

Characters and Unicode

Total characters1292
Distinct characters265
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique115 ?
Unique (%)68.9%

Sample

1st row덕산초등학교
2nd row광시길한우타운식당
3rd row한백당한식뷔페
4th row(주)고려비엔피
5th row장춘한식
ValueCountFrequency (%)
주)녹수 4
 
1.9%
주식회사 4
 
1.9%
남도맛동산 3
 
1.4%
예산지점 3
 
1.4%
본우리집밥보령예산캠퍼스 3
 
1.4%
동흥루 3
 
1.4%
내포점 3
 
1.4%
토바우 3
 
1.4%
안심하우마을 3
 
1.4%
더마루(대원전선 3
 
1.4%
Other values (148) 177
84.7%
2024-03-14T20:14:34.417108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 56
 
4.3%
예 47
 
3.6%
42
 
3.3%
) 31
 
2.4%
주 31
 
2.4%
( 31
 
2.4%
식 30
 
2.3%
장 30
 
2.3%
교 25
 
1.9%
한 24
 
1.9%
Other values (255) 945
73.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1177
91.1%
Space Separator 42
 
3.3%
Close Punctuation 31
 
2.4%
Open Punctuation 31
 
2.4%
Dash Punctuation 4
 
0.3%
Other Punctuation 2
 
0.2%
Decimal Number 2
 
0.2%
Uppercase Letter 2
 
0.2%
Connector Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 56
 
4.8%
예 47
 
4.0%
주 31
 
2.6%
식 30
 
2.5%
장 30
 
2.5%
교 25
 
2.1%
한 24
 
2.0%
학 24
 
2.0%
점 21
 
1.8%
원 21
 
1.8%
Other values (245) 868
73.7%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
J 1
50.0%
Space Separator
ValueCountFrequency (%)
42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1177
91.1%
Common 113
 
8.7%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 56
 
4.8%
예 47
 
4.0%
주 31
 
2.6%
식 30
 
2.5%
장 30
 
2.5%
교 25
 
2.1%
한 24
 
2.0%
학 24
 
2.0%
점 21
 
1.8%
원 21
 
1.8%
Other values (245) 868
73.7%
Common
ValueCountFrequency (%)
42
37.2%
) 31
27.4%
( 31
27.4%
- 4
 
3.5%
& 2
 
1.8%
_ 1
 
0.9%
2 1
 
0.9%
1 1
 
0.9%
Latin
ValueCountFrequency (%)
C 1
50.0%
J 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1177
91.1%
ASCII 115
 
8.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 56
 
4.8%
예 47
 
4.0%
주 31
 
2.6%
식 30
 
2.5%
장 30
 
2.5%
교 25
 
2.1%
한 24
 
2.0%
학 24
 
2.0%
점 21
 
1.8%
원 21
 
1.8%
Other values (245) 868
73.7%
ASCII
ValueCountFrequency (%)
42
36.5%
) 31
27.0%
( 31
27.0%
- 4
 
3.5%
& 2
 
1.7%
_ 1
 
0.9%
2 1
 
0.9%
C 1
 
0.9%
1 1
 
0.9%
J 1
 
0.9%

사업장도로명주소
Text

Distinct132
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-14T20:14:35.490875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length37
Mean length23.622754
Min length18

Characters and Unicode

Total characters3945
Distinct characters159
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

Unique108 ?
Unique (%)64.7%

Sample

1st row충청남도 예산군 덕산면 봉운로 38
2nd row충청남도 예산군 광시면 예당로 156
3rd row충청남도 예산군 오가면 충서로 381
4th row충청남도 예산군 신암면 추사로 235-9
5th row충청남도 예산군 삽교읍 수암산로 253
ValueCountFrequency (%)
충청남도 167
18.7%
예산군 167
18.7%
예산읍 56
 
6.3%
삽교읍 46
 
5.2%
덕산면 14
 
1.6%
충서로 12
 
1.3%
고덕면 12
 
1.3%
수암산로 8
 
0.9%
응봉면 8
 
0.9%
오가면 8
 
0.9%
Other values (219) 394
44.2%
2024-03-14T20:14:36.816413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
727
18.4%
산 287
 
7.3%
예 253
 
6.4%
청 189
 
4.8%
충 182
 
4.6%
도 177
 
4.5%
군 170
 
4.3%
남 168
 
4.3%
로 133
 
3.4%
1 120
 
3.0%
Other values (149) 1539
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2531
64.2%
Space Separator 727
 
18.4%
Decimal Number 590
 
15.0%
Connector Punctuation 36
 
0.9%
Dash Punctuation 34
 
0.9%
Close Punctuation 11
 
0.3%
Open Punctuation 11
 
0.3%
Math Symbol 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 287
 
11.3%
예 253
 
10.0%
청 189
 
7.5%
충 182
 
7.2%
도 177
 
7.0%
군 170
 
6.7%
남 168
 
6.6%
로 133
 
5.3%
읍 102
 
4.0%
면 65
 
2.6%
Other values (133) 805
31.8%
Decimal Number
ValueCountFrequency (%)
1 120
20.3%
2 102
17.3%
0 67
11.4%
3 59
10.0%
8 53
9.0%
4 47
 
8.0%
6 41
 
6.9%
9 40
 
6.8%
5 35
 
5.9%
7 26
 
4.4%
Space Separator
ValueCountFrequency (%)
727
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2531
64.2%
Common 1414
35.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 287
 
11.3%
예 253
 
10.0%
청 189
 
7.5%
충 182
 
7.2%
도 177
 
7.0%
군 170
 
6.7%
남 168
 
6.6%
로 133
 
5.3%
읍 102
 
4.0%
면 65
 
2.6%
Other values (133) 805
31.8%
Common
ValueCountFrequency (%)
727
51.4%
1 120
 
8.5%
2 102
 
7.2%
0 67
 
4.7%
3 59
 
4.2%
8 53
 
3.7%
4 47
 
3.3%
6 41
 
2.9%
9 40
 
2.8%
_ 36
 
2.5%
Other values (6) 122
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2531
64.2%
ASCII 1414
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
727
51.4%
1 120
 
8.5%
2 102
 
7.2%
0 67
 
4.7%
3 59
 
4.2%
8 53
 
3.7%
4 47
 
3.3%
6 41
 
2.9%
9 40
 
2.8%
_ 36
 
2.5%
Other values (6) 122
 
8.6%
Hangul
ValueCountFrequency (%)
산 287
 
11.3%
예 253
 
10.0%
청 189
 
7.5%
충 182
 
7.2%
도 177
 
7.0%
군 170
 
6.7%
남 168
 
6.6%
로 133
 
5.3%
읍 102
 
4.0%
면 65
 
2.6%
Other values (133) 805
31.8%

사업장구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
일반음식점
102 
집단급식소
60 
기타
 
3
농수산물시장
 
2

Length

Max length6
Median length5
Mean length4.9580838
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row집단급식소
2nd row일반음식점
3rd row일반음식점
4th row집단급식소
5th row일반음식점

Common Values

ValueCountFrequency (%)
일반음식점 102
61.1%
집단급식소 60
35.9%
기타 3
 
1.8%
농수산물시장 2
 
1.2%

Length

2024-03-14T20:14:37.268497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:14:37.629052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 102
61.1%
집단급식소 60
35.9%
기타 3
 
1.8%
농수산물시장 2
 
1.2%

규모
Real number (ℝ)

HIGH CORRELATION 

Distinct104
Distinct (%)62.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean454.88389
Minimum10
Maximum20000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-03-14T20:14:38.019602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile100
Q1214.47
median251.41
Q3350
95-th percentile807.668
Maximum20000
Range19990
Interquartile range (IQR)135.53

Descriptive statistics

Standard deviation1551.1248
Coefficient of variation (CV)3.4099358
Kurtosis154.42661
Mean454.88389
Median Absolute Deviation (MAD)51.41
Skewness12.219547
Sum75965.61
Variance2405988.3
MonotonicityNot monotonic
2024-03-14T20:14:38.437728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200.0 11
 
6.6%
100.0 11
 
6.6%
350.0 5
 
3.0%
500.0 4
 
2.4%
240.0 4
 
2.4%
215.54 3
 
1.8%
224.55 3
 
1.8%
296.0 3
 
1.8%
150.0 3
 
1.8%
130.0 3
 
1.8%
Other values (94) 117
70.1%
ValueCountFrequency (%)
10.0 1
 
0.6%
100.0 11
6.6%
105.0 1
 
0.6%
130.0 3
 
1.8%
135.0 1
 
0.6%
140.0 1
 
0.6%
141.0 1
 
0.6%
150.0 3
 
1.8%
158.0 1
 
0.6%
170.0 1
 
0.6%
ValueCountFrequency (%)
20000.0 1
0.6%
2402.0 1
0.6%
1918.0 2
1.2%
1200.0 1
0.6%
1107.5 1
0.6%
1100.0 1
0.6%
956.0 1
0.6%
815.24 1
0.6%
790.0 1
0.6%
750.0 1
0.6%

월배출예상
Real number (ℝ)

HIGH CORRELATION 

Distinct59
Distinct (%)35.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1303.506
Minimum10
Maximum12410
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-03-14T20:14:38.701004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile86
Q1475
median850
Q31500
95-th percentile4000
Maximum12410
Range12400
Interquartile range (IQR)1025

Descriptive statistics

Standard deviation1497.2946
Coefficient of variation (CV)1.1486672
Kurtosis18.480627
Mean1303.506
Median Absolute Deviation (MAD)560
Skewness3.367408
Sum217685.5
Variance2241891
MonotonicityNot monotonic
2024-03-14T20:14:38.960271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1500.0 17
 
10.2%
1000.0 13
 
7.8%
600.0 12
 
7.2%
3000.0 12
 
7.2%
500.0 11
 
6.6%
300.0 9
 
5.4%
700.0 6
 
3.6%
900.0 6
 
3.6%
1200.0 5
 
3.0%
800.0 5
 
3.0%
Other values (49) 71
42.5%
ValueCountFrequency (%)
10.0 1
 
0.6%
20.0 1
 
0.6%
30.0 1
 
0.6%
50.0 1
 
0.6%
60.0 3
1.8%
80.0 2
1.2%
100.0 2
1.2%
110.0 1
 
0.6%
120.0 1
 
0.6%
130.0 1
 
0.6%
ValueCountFrequency (%)
12410.0 1
 
0.6%
6000.0 2
 
1.2%
5400.0 1
 
0.6%
5000.0 1
 
0.6%
4600.0 1
 
0.6%
4500.0 2
 
1.2%
4000.0 2
 
1.2%
3900.0 1
 
0.6%
3000.0 12
7.2%
2700.0 2
 
1.2%

년배출예상
Real number (ℝ)

HIGH CORRELATION 

Distinct62
Distinct (%)37.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19729.299
Minimum120
Maximum284700
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-03-14T20:14:39.210315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum120
5-th percentile960
Q14800
median10800
Q318725
95-th percentile54000
Maximum284700
Range284580
Interquartile range (IQR)13925

Descriptive statistics

Standard deviation38806.432
Coefficient of variation (CV)1.9669443
Kurtosis37.765618
Mean19729.299
Median Absolute Deviation (MAD)7200
Skewness5.861235
Sum3294793
Variance1.5059392 × 109
MonotonicityNot monotonic
2024-03-14T20:14:39.527667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18000 14
 
8.4%
7200 12
 
7.2%
12000 12
 
7.2%
3600 9
 
5.4%
36000 9
 
5.4%
8400 9
 
5.4%
6000 8
 
4.8%
24000 6
 
3.6%
10800 6
 
3.6%
14400 5
 
3.0%
Other values (52) 77
46.1%
ValueCountFrequency (%)
120 1
 
0.6%
240 2
1.2%
360 1
 
0.6%
600 1
 
0.6%
720 3
1.8%
960 2
1.2%
1200 2
1.2%
1320 1
 
0.6%
1440 1
 
0.6%
1560 1
 
0.6%
ValueCountFrequency (%)
284700 3
 
1.8%
72000 2
 
1.2%
64800 1
 
0.6%
60000 1
 
0.6%
55200 1
 
0.6%
54000 2
 
1.2%
48000 2
 
1.2%
46800 1
 
0.6%
36500 1
 
0.6%
36000 9
5.4%

Interactions

2024-03-14T20:14:26.358248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:14:24.810758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:14:25.592208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:14:26.617868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:14:25.080437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:14:25.863660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:14:26.868593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:14:25.340899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:14:26.111544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T20:14:39.692766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장구분규모월배출예상년배출예상
사업장구분1.0000.5580.3040.354
규모0.5581.0000.0000.000
월배출예상0.3040.0001.0000.907
년배출예상0.3540.0000.9071.000
2024-03-14T20:14:39.851791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
규모월배출예상년배출예상사업장구분
규모1.0000.2110.2050.563
월배출예상0.2111.0000.9430.198
년배출예상0.2050.9431.0000.144
사업장구분0.5630.1980.1441.000

Missing values

2024-03-14T20:14:27.207147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T20:14:27.619103image/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

인허가관리번호대표자명상호사업장도로명주소사업장구분규모월배출예상년배출예상
04610000-38-2009-00035학교장덕산초등학교충청남도 예산군 덕산면 봉운로 38집단급식소315.0170.02040
14610000-38-2009-00043이영숙광시길한우타운식당충청남도 예산군 광시면 예당로 156일반음식점330.881000.012000
24610000-38-2019-00001고명자한백당한식뷔페충청남도 예산군 오가면 충서로 381일반음식점300.0500.06000
34610000-38-2013-00002송기연(주)고려비엔피충청남도 예산군 신암면 추사로 235-9집단급식소105.080.0960
44610000-38-2017-00033양영란장춘한식충청남도 예산군 삽교읍 수암산로 253일반음식점281.94500.06000
54610000-38-2013-00009김명훈예산명지병원충청남도 예산군 예산읍 신례원로 26_ 예산명지병원집단급식소450.060.0720
64610000-38-2013-00017이성숙청수가든충청남도 예산군 고덕면 고덕중앙로 45-9일반음식점225.5100.01200
74610000-38-2006-00008유정인대장금충청남도 예산군 덕산면 온천단지3로 40일반음식점318.651200.014400
84610000-38-2004-00003현수환옛날한식뷔페충청남도 예산군 예산읍 충서로 1170일반음식점247.5260.03120
94610000-38-2001-00002곽덕신예산중학교충청남도 예산군 예산읍 예중길 40집단급식소956.02000.024000
인허가관리번호대표자명상호사업장도로명주소사업장구분규모월배출예상년배출예상
1574610000-38-2016-00010조미숙원조설악추어탕충청남도 예산군 예산읍 벚꽃로 211일반음식점210.01000.012000
1584610000-38-2016-00016김민기마중충청남도 예산군 예산읍 역전로140번길 32일반음식점100.01000.012000
1594610000-38-2016-00018조현구예산냉면갈비충청남도 예산군 예산읍 산성공원2길 19일반음식점100.01000.012000
1604610000-38-2016-00019지미소지돈가충청남도 예산군 예산읍 주안길 34일반음식점100.02000.024000
1614610000-38-2016-00021유소연양지한우타운충청남도 예산군 광시면 광시소길 11일반음식점331.62000.024000
1624610000-38-2016-00022이정숙더센트럴웨딩충청남도 예산군 예산읍 예산로 320 (더센트럴웨딩홀)기타300.03900.046800
1634610000-38-2017-00002김희경한정식예산충청남도 예산군 예산읍 산성공원1길 24일반음식점250.0530.06360
1644610000-38-2017-00004복지회장충남경찰청 구내식당충청남도 예산군 삽교읍 청사로 201 (충청남도지방경찰청)집단급식소150.0120.01440
1654610000-38-2017-00005박수현더스타웨딩컨벤션충청남도 예산군 예산읍 벚꽃로155번길 52-11기타20000.0600.07200
1664610000-38-2017-00015이선덕그린플러스충청남도 예산군 응봉면 응봉로 50-42집단급식소200.080.0960

Duplicate rows

Most frequently occurring

인허가관리번호대표자명상호사업장도로명주소사업장구분규모월배출예상년배출예상# duplicates
04610000-38-2008-00007소유량동흥루충청남도 예산군 예산읍 예산로 220-1일반음식점296.0800.096003
24610000-38-2017-00027이윤수더마루(대원전선 예산지점)충청남도 예산군 고덕면 호음덕령길 92집단급식소240.0700.084003
54610000-38-2017-00051이태섭행복푸드충청남도 예산군 삽교읍 산단3길 238일반음식점258.2500.0120003
74610000-38-2018-00020김미영중화요리 예산충청남도 예산군 삽교읍 삽교역로 6일반음식점215.541500.0180003
84610000-38-2019-00011강선규화신공장(주)이엠디충청남도 예산군 오가면 국사봉로 468집단급식소100.01000.084003
94610000-38-2019-00012유진희가야참갈비충청남도 예산군 덕산면 온천단지3로 54일반음식점240.96780.02847003
174610000-38-2023-00004김옥단남도맛동산충청남도 예산군 삽교읍 도청대로 830-3_ 1동 1호일반음식점231.01200.0144003
184610000-38-2023-00005허제이고기박사냉면충청남도 예산군 예산읍 충서로 890일반음식점224.55500.060003
194610000-38-2023-00006임미화본우리집밥보령예산캠퍼스충청남도 예산군 응봉면 충서로 248_ 보령제약(주) 지원시설 2층집단급식소200.01500.0180003
204610000-38-2024-00001정진곤주식회사 토바우 안심하우마을 내포점충청남도 예산군 삽교읍 청사로192번길 20_ 308호~310호일반음식점577.321500.0180003