Overview

Dataset statistics

Number of variables9
Number of observations329
Missing cells3
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.5 KiB
Average record size in memory76.4 B

Variable types

Numeric4
Text3
Categorical1
DateTime1

Dataset

Description대구광역시 달성군에서 음식물 폐기물을 다량 배출하는 사업장에 대한 정보로, 상호, 사업장도로명 주소, 사업장 구분, 규모, 월배출예상, 연배출예상, 위탁업체상호, 데이터기준일자의 정보를 제공합니다. 업체 규모 및 월배출예상, 연배출예상 부분은 담당부서에서 데이터를 확보하지 못해 데이터 부존재로 일부 제공되지 못한 부분이 있습니다.
Author대구광역시 달성군
URLhttps://www.data.go.kr/data/15107755/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 사업장구분High correlation
월배출예상 is highly overall correlated with 연배출예상 and 1 other fieldsHigh correlation
연배출예상 is highly overall correlated with 월배출예상 and 1 other fieldsHigh correlation
사업장구분 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
연번 has unique valuesUnique
상호 has unique valuesUnique

Reproduction

Analysis started2024-04-17 18:35:48.010118
Analysis finished2024-04-17 18:35:50.183381
Duration2.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct329
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean165
Minimum1
Maximum329
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-04-18T03:35:50.262162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17.4
Q183
median165
Q3247
95-th percentile312.6
Maximum329
Range328
Interquartile range (IQR)164

Descriptive statistics

Standard deviation95.118347
Coefficient of variation (CV)0.57647483
Kurtosis-1.2
Mean165
Median Absolute Deviation (MAD)82
Skewness0
Sum54285
Variance9047.5
MonotonicityStrictly increasing
2024-04-18T03:35:50.409583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
227 1
 
0.3%
225 1
 
0.3%
224 1
 
0.3%
223 1
 
0.3%
222 1
 
0.3%
221 1
 
0.3%
220 1
 
0.3%
219 1
 
0.3%
218 1
 
0.3%
Other values (319) 319
97.0%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
329 1
0.3%
328 1
0.3%
327 1
0.3%
326 1
0.3%
325 1
0.3%
324 1
0.3%
323 1
0.3%
322 1
0.3%
321 1
0.3%
320 1
0.3%

상호
Text

UNIQUE 

Distinct329
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-04-18T03:35:50.583753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length8.6352584
Min length2

Characters and Unicode

Total characters2841
Distinct characters386
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

Unique329 ?
Unique (%)100.0%

Sample

1st row농협달성유통센터
2nd row현풍휴게소(정우실업(주))
3rd row낙동식당
4th row우뚝참숯갈비
5th row보백관
ValueCountFrequency (%)
주)아워홈 5
 
1.2%
유치원 4
 
0.9%
유한책임회사 4
 
0.9%
대구텍 4
 
0.9%
주식회사 3
 
0.7%
동원홈푸드 3
 
0.7%
다사점 3
 
0.7%
사내식당 2
 
0.5%
현풍 2
 
0.5%
어린이집 2
 
0.5%
Other values (392) 401
92.6%
2024-04-18T03:35:50.866966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
105
 
3.7%
) 86
 
3.0%
( 83
 
2.9%
주 81
 
2.9%
대 79
 
2.8%
원 70
 
2.5%
구 68
 
2.4%
이 50
 
1.8%
교 49
 
1.7%
학 48
 
1.7%
Other values (376) 2122
74.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2515
88.5%
Space Separator 105
 
3.7%
Close Punctuation 86
 
3.0%
Open Punctuation 83
 
2.9%
Uppercase Letter 35
 
1.2%
Decimal Number 10
 
0.4%
Lowercase Letter 5
 
0.2%
Connector Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 81
 
3.2%
대 79
 
3.1%
원 70
 
2.8%
구 68
 
2.7%
이 50
 
2.0%
교 49
 
1.9%
학 48
 
1.9%
점 47
 
1.9%
리 44
 
1.7%
스 42
 
1.7%
Other values (348) 1937
77.0%
Uppercase Letter
ValueCountFrequency (%)
M 6
17.1%
S 5
14.3%
J 3
8.6%
L 3
8.6%
P 3
8.6%
Y 3
8.6%
H 2
 
5.7%
I 2
 
5.7%
C 2
 
5.7%
T 2
 
5.7%
Other values (3) 4
11.4%
Decimal Number
ValueCountFrequency (%)
2 5
50.0%
4 2
 
20.0%
9 1
 
10.0%
1 1
 
10.0%
3 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
20.0%
u 1
20.0%
e 1
20.0%
m 1
20.0%
p 1
20.0%
Space Separator
ValueCountFrequency (%)
105
100.0%
Close Punctuation
ValueCountFrequency (%)
) 86
100.0%
Open Punctuation
ValueCountFrequency (%)
( 83
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2515
88.5%
Common 286
 
10.1%
Latin 40
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 81
 
3.2%
대 79
 
3.1%
원 70
 
2.8%
구 68
 
2.7%
이 50
 
2.0%
교 49
 
1.9%
학 48
 
1.9%
점 47
 
1.9%
리 44
 
1.7%
스 42
 
1.7%
Other values (348) 1937
77.0%
Latin
ValueCountFrequency (%)
M 6
15.0%
S 5
12.5%
J 3
 
7.5%
L 3
 
7.5%
P 3
 
7.5%
Y 3
 
7.5%
H 2
 
5.0%
I 2
 
5.0%
C 2
 
5.0%
T 2
 
5.0%
Other values (8) 9
22.5%
Common
ValueCountFrequency (%)
105
36.7%
) 86
30.1%
( 83
29.0%
2 5
 
1.7%
4 2
 
0.7%
_ 1
 
0.3%
9 1
 
0.3%
1 1
 
0.3%
3 1
 
0.3%
& 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2515
88.5%
ASCII 326
 
11.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
105
32.2%
) 86
26.4%
( 83
25.5%
M 6
 
1.8%
2 5
 
1.5%
S 5
 
1.5%
J 3
 
0.9%
L 3
 
0.9%
P 3
 
0.9%
Y 3
 
0.9%
Other values (18) 24
 
7.4%
Hangul
ValueCountFrequency (%)
주 81
 
3.2%
대 79
 
3.1%
원 70
 
2.8%
구 68
 
2.7%
이 50
 
2.0%
교 49
 
1.9%
학 48
 
1.9%
점 47
 
1.9%
리 44
 
1.7%
스 42
 
1.7%
Other values (348) 1937
77.0%

사업장도로명주소
Text

Distinct293
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-04-18T03:35:51.108534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length39
Mean length23.820669
Min length19

Characters and Unicode

Total characters7837
Distinct characters142
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

Unique264 ?
Unique (%)80.2%

Sample

1st row대구광역시 달성군 화원읍 성천로 9
2nd row대구광역시 달성군 현풍면 비슬로 741
3rd row대구광역시 달성군 다사읍 달구벌대로92길 88
4th row대구광역시 달성군 다사읍 서재로12길 20
5th row대구광역시 달성군 다사읍 왕선로 52
ValueCountFrequency (%)
대구광역시 329
19.4%
달성군 329
19.4%
다사읍 100
 
5.9%
논공읍 57
 
3.4%
화원읍 41
 
2.4%
가창면 29
 
1.7%
현풍면 27
 
1.6%
비슬로 24
 
1.4%
구지면 22
 
1.3%
유가면 19
 
1.1%
Other values (362) 715
42.3%
2024-04-18T03:35:51.451787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1365
17.4%
대 393
 
5.0%
구 382
 
4.9%
달 367
 
4.7%
성 351
 
4.5%
역 346
 
4.4%
군 332
 
4.2%
광 329
 
4.2%
시 329
 
4.2%
로 309
 
3.9%
Other values (132) 3334
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5248
67.0%
Space Separator 1365
 
17.4%
Decimal Number 1119
 
14.3%
Dash Punctuation 36
 
0.5%
Connector Punctuation 21
 
0.3%
Open Punctuation 19
 
0.2%
Close Punctuation 19
 
0.2%
Uppercase Letter 8
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 393
 
7.5%
구 382
 
7.3%
달 367
 
7.0%
성 351
 
6.7%
역 346
 
6.6%
군 332
 
6.3%
광 329
 
6.3%
시 329
 
6.3%
로 309
 
5.9%
읍 217
 
4.1%
Other values (110) 1893
36.1%
Decimal Number
ValueCountFrequency (%)
1 238
21.3%
2 155
13.9%
5 122
10.9%
3 114
10.2%
4 104
9.3%
8 91
 
8.1%
6 82
 
7.3%
7 75
 
6.7%
0 73
 
6.5%
9 65
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
B 2
25.0%
M 2
25.0%
W 1
12.5%
K 1
12.5%
A 1
12.5%
S 1
12.5%
Space Separator
ValueCountFrequency (%)
1365
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5248
67.0%
Common 2581
32.9%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 393
 
7.5%
구 382
 
7.3%
달 367
 
7.0%
성 351
 
6.7%
역 346
 
6.6%
군 332
 
6.3%
광 329
 
6.3%
시 329
 
6.3%
로 309
 
5.9%
읍 217
 
4.1%
Other values (110) 1893
36.1%
Common
ValueCountFrequency (%)
1365
52.9%
1 238
 
9.2%
2 155
 
6.0%
5 122
 
4.7%
3 114
 
4.4%
4 104
 
4.0%
8 91
 
3.5%
6 82
 
3.2%
7 75
 
2.9%
0 73
 
2.8%
Other values (6) 162
 
6.3%
Latin
ValueCountFrequency (%)
B 2
25.0%
M 2
25.0%
W 1
12.5%
K 1
12.5%
A 1
12.5%
S 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5248
67.0%
ASCII 2589
33.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1365
52.7%
1 238
 
9.2%
2 155
 
6.0%
5 122
 
4.7%
3 114
 
4.4%
4 104
 
4.0%
8 91
 
3.5%
6 82
 
3.2%
7 75
 
2.9%
0 73
 
2.8%
Other values (12) 170
 
6.6%
Hangul
ValueCountFrequency (%)
대 393
 
7.5%
구 382
 
7.3%
달 367
 
7.0%
성 351
 
6.7%
역 346
 
6.6%
군 332
 
6.3%
광 329
 
6.3%
시 329
 
6.3%
로 309
 
5.9%
읍 217
 
4.1%
Other values (110) 1893
36.1%

사업장구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
집단급식소
173 
일반음식점
155 
농수산물시장
 
1

Length

Max length6
Median length5
Mean length5.0030395
Min length5

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
집단급식소 173
52.6%
일반음식점 155
47.1%
농수산물시장 1
 
0.3%

Length

2024-04-18T03:35:51.570863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:35:51.645618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 173
52.6%
일반음식점 155
47.1%
농수산물시장 1
 
0.3%

규모
Real number (ℝ)

Distinct125
Distinct (%)38.1%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean319.29268
Minimum30
Maximum4722
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-04-18T03:35:51.734316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile100
Q1200
median203
Q3331.75
95-th percentile850
Maximum4722
Range4692
Interquartile range (IQR)131.75

Descriptive statistics

Standard deviation350.0821
Coefficient of variation (CV)1.0964301
Kurtosis79.946013
Mean319.29268
Median Absolute Deviation (MAD)68
Skewness7.2924526
Sum104728
Variance122557.48
MonotonicityNot monotonic
2024-04-18T03:35:51.838830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200 90
27.4%
100 24
 
7.3%
150 13
 
4.0%
300 9
 
2.7%
120 7
 
2.1%
210 6
 
1.8%
500 6
 
1.8%
700 5
 
1.5%
250 5
 
1.5%
110 5
 
1.5%
Other values (115) 158
48.0%
ValueCountFrequency (%)
30 1
 
0.3%
100 24
7.3%
104 1
 
0.3%
107 1
 
0.3%
110 5
 
1.5%
115 1
 
0.3%
120 7
 
2.1%
121 1
 
0.3%
123 1
 
0.3%
125 1
 
0.3%
ValueCountFrequency (%)
4722 1
0.3%
2200 1
0.3%
2000 1
0.3%
1300 1
0.3%
1181 1
0.3%
1020 1
0.3%
1000 1
0.3%
970 1
0.3%
965 1
0.3%
950 2
0.6%

월배출예상
Real number (ℝ)

HIGH CORRELATION 

Distinct87
Distinct (%)26.5%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean1447.253
Minimum30
Maximum21600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-04-18T03:35:51.970329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile120
Q1500
median900
Q31500
95-th percentile4500
Maximum21600
Range21570
Interquartile range (IQR)1000

Descriptive statistics

Standard deviation2238.3328
Coefficient of variation (CV)1.5466077
Kurtosis43.182011
Mean1447.253
Median Absolute Deviation (MAD)500
Skewness5.7844086
Sum474699
Variance5010133.5
MonotonicityNot monotonic
2024-04-18T03:35:52.089828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
900 44
 
13.4%
600 36
 
10.9%
1500 25
 
7.6%
1200 21
 
6.4%
300 16
 
4.9%
3000 13
 
4.0%
2400 11
 
3.3%
1000 8
 
2.4%
100 7
 
2.1%
800 7
 
2.1%
Other values (77) 140
42.6%
ValueCountFrequency (%)
30 1
 
0.3%
60 3
0.9%
80 2
 
0.6%
90 3
0.9%
100 7
2.1%
120 5
1.5%
125 1
 
0.3%
140 1
 
0.3%
150 7
2.1%
160 1
 
0.3%
ValueCountFrequency (%)
21600 1
 
0.3%
20000 1
 
0.3%
18100 1
 
0.3%
9125 1
 
0.3%
9000 1
 
0.3%
7000 1
 
0.3%
6710 1
 
0.3%
6450 1
 
0.3%
6000 4
1.2%
5200 1
 
0.3%

연배출예상
Real number (ℝ)

HIGH CORRELATION 

Distinct87
Distinct (%)26.5%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean17367.037
Minimum360
Maximum259200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-04-18T03:35:52.199136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum360
5-th percentile1440
Q16000
median10800
Q318000
95-th percentile54000
Maximum259200
Range258840
Interquartile range (IQR)12000

Descriptive statistics

Standard deviation26859.993
Coefficient of variation (CV)1.5466077
Kurtosis43.182011
Mean17367.037
Median Absolute Deviation (MAD)6000
Skewness5.7844086
Sum5696388
Variance7.2145923 × 108
MonotonicityNot monotonic
2024-04-18T03:35:52.323256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10800 44
 
13.4%
7200 36
 
10.9%
18000 25
 
7.6%
14400 21
 
6.4%
3600 16
 
4.9%
36000 13
 
4.0%
28800 11
 
3.3%
12000 8
 
2.4%
1200 7
 
2.1%
9600 7
 
2.1%
Other values (77) 140
42.6%
ValueCountFrequency (%)
360 1
 
0.3%
720 3
0.9%
960 2
 
0.6%
1080 3
0.9%
1200 7
2.1%
1440 5
1.5%
1500 1
 
0.3%
1680 1
 
0.3%
1800 7
2.1%
1920 1
 
0.3%
ValueCountFrequency (%)
259200 1
 
0.3%
240000 1
 
0.3%
217200 1
 
0.3%
109500 1
 
0.3%
108000 1
 
0.3%
84000 1
 
0.3%
80520 1
 
0.3%
77400 1
 
0.3%
72000 4
1.2%
62400 1
 
0.3%

위탁업체상호
Text

Distinct54
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-04-18T03:35:52.501617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length6.1337386
Min length3

Characters and Unicode

Total characters2018
Distinct characters108
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)6.1%

Sample

1st row(주)앞선환경
2nd row자원환경
3rd row봉촌농장
4th row자원환경
5th row세명농장
ValueCountFrequency (%)
주)앞선환경 54
16.1%
주)오케이산업 54
16.1%
에덴팜영농조합법인 24
 
7.2%
용호농장 19
 
5.7%
자원환경 17
 
5.1%
월곡농장 12
 
3.6%
주)삼부엔텍 9
 
2.7%
원일환경(주 8
 
2.4%
봉리농장 8
 
2.4%
신자원환경 8
 
2.4%
Other values (46) 122
36.4%
2024-04-18T03:35:52.764729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 153
 
7.6%
) 151
 
7.5%
( 151
 
7.5%
농 129
 
6.4%
장 107
 
5.3%
경 97
 
4.8%
환 94
 
4.7%
산 80
 
4.0%
업 71
 
3.5%
이 66
 
3.3%
Other values (98) 919
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1696
84.0%
Close Punctuation 151
 
7.5%
Open Punctuation 151
 
7.5%
Uppercase Letter 14
 
0.7%
Space Separator 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 153
 
9.0%
농 129
 
7.6%
장 107
 
6.3%
경 97
 
5.7%
환 94
 
5.5%
산 80
 
4.7%
업 71
 
4.2%
이 66
 
3.9%
오 58
 
3.4%
케 56
 
3.3%
Other values (93) 785
46.3%
Uppercase Letter
ValueCountFrequency (%)
K 7
50.0%
O 7
50.0%
Close Punctuation
ValueCountFrequency (%)
) 151
100.0%
Open Punctuation
ValueCountFrequency (%)
( 151
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1696
84.0%
Common 308
 
15.3%
Latin 14
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 153
 
9.0%
농 129
 
7.6%
장 107
 
6.3%
경 97
 
5.7%
환 94
 
5.5%
산 80
 
4.7%
업 71
 
4.2%
이 66
 
3.9%
오 58
 
3.4%
케 56
 
3.3%
Other values (93) 785
46.3%
Common
ValueCountFrequency (%)
) 151
49.0%
( 151
49.0%
6
 
1.9%
Latin
ValueCountFrequency (%)
K 7
50.0%
O 7
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1696
84.0%
ASCII 322
 
16.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 153
 
9.0%
농 129
 
7.6%
장 107
 
6.3%
경 97
 
5.7%
환 94
 
5.5%
산 80
 
4.7%
업 71
 
4.2%
이 66
 
3.9%
오 58
 
3.4%
케 56
 
3.3%
Other values (93) 785
46.3%
ASCII
ValueCountFrequency (%)
) 151
46.9%
( 151
46.9%
K 7
 
2.2%
O 7
 
2.2%
6
 
1.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2022-10-31 00:00:00
Maximum2022-10-31 00:00:00
2024-04-18T03:35:52.853825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:35:52.935162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-18T03:35:49.551866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:35:48.685244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:35:48.960792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:35:49.241939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:35:49.634757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:35:48.751228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:35:49.052807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:35:49.316268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:35:49.727151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:35:48.822902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:35:49.115122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:35:49.376273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:35:49.797377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:35:48.886127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:35:49.180486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:35:49.455808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-18T03:35:53.013107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사업장구분규모월배출예상연배출예상위탁업체상호
연번1.0000.7900.5640.1500.1480.693
사업장구분0.7901.0000.2400.6090.6090.233
규모0.5640.2401.0000.5900.5900.869
월배출예상0.1500.6090.5901.0001.0000.721
연배출예상0.1480.6090.5901.0001.0000.721
위탁업체상호0.6930.2330.8690.7210.7211.000
2024-04-18T03:35:53.104752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번규모월배출예상연배출예상사업장구분
연번1.000-0.3090.0140.0140.669
규모-0.3091.0000.2360.2360.292
월배출예상0.0140.2361.0001.0000.500
연배출예상0.0140.2361.0001.0000.500
사업장구분0.6690.2920.5000.5001.000

Missing values

2024-04-18T03:35:49.906347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-18T03:35:50.028476image/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.
2024-04-18T03:35:50.122371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번상호사업장도로명주소사업장구분규모월배출예상연배출예상위탁업체상호데이터기준일자
01농협달성유통센터대구광역시 달성군 화원읍 성천로 9농수산물시장<NA>9000108000(주)앞선환경2022-10-31
12현풍휴게소(정우실업(주))대구광역시 달성군 현풍면 비슬로 741일반음식점60085410248자원환경2022-10-31
23낙동식당대구광역시 달성군 다사읍 달구벌대로92길 88일반음식점3114565472봉촌농장2022-10-31
34우뚝참숯갈비대구광역시 달성군 다사읍 서재로12길 20일반음식점4504505400자원환경2022-10-31
45보백관대구광역시 달성군 다사읍 왕선로 52일반음식점21080960세명농장2022-10-31
56누리마을감자탕대구광역시 달성군 논공읍 논공로 757일반음식점2225406480김형열 농장2022-10-31
67함지박가든대구광역시 달성군 다사읍 대실역북로1길 29-15일반음식점2081802160청운농장2022-10-31
78꿀꿀이통돼지왕소금구이대구광역시 달성군 다사읍 왕선로 7 (외 2필지)일반음식점310150018000(주)앞선환경2022-10-31
89대통샤브칼국수대구광역시 달성군 논공읍 논공중앙로34길 34일반음식점2003604320월곡농장2022-10-31
910부림해물손수제비대구광역시 달성군 다사읍 달구벌대로 813일반음식점2701501800세명농장2022-10-31
연번상호사업장도로명주소사업장구분규모월배출예상연배출예상위탁업체상호데이터기준일자
319320구지중학교대구광역시 달성군 구지면 국가산단대로66길 22_ 구지중학교집단급식소1007008400(주)오케이산업2022-10-31
320321다사요양병원대구광역시 달성군 다사읍 왕선로 31집단급식소1006007200신자원환경2022-10-31
321322엘엔에프엔씨(한국신동공업)대구광역시 달성군 논공읍 논공로91길 13집단급식소1006007200신자원환경2022-10-31
322323안드레아 유치원대구광역시 달성군 현풍읍 현풍동로 10_ 현풍천주교회집단급식소2004405280(주)오케이산업2022-10-31
323324(주)아워홈거양금속대구점대구광역시 달성군 구지면 국가산단대로33길 214집단급식소200120014400용호농장2022-10-31
324325(주)아워홈케이비와이퍼시스템대구점대구광역시 달성군 구지면 국가산단대로33길 10_ KBWS 신축공사 A동 3층집단급식소200120014400용호농장2022-10-31
325326(주)한국피제스(문양차량기지)대구광역시 달성군 다사읍 달구벌대로 431_ 대구지하철 2호선 1공구 문양차량기지집단급식소1004505400제일산업2022-10-31
326327풀무원푸드엔컬쳐 한국SKF 씰 공장대구광역시 달성군 논공읍 논공중앙로45길 33집단급식소1506007200용호농장2022-10-31
327328주식회사 동원홈푸드 엘엔에프 구지2공장대구광역시 달성군 구지면 국가산단대로46길 85집단급식소120100012000(주)오케이산업2022-10-31
328329(주)풀무원 푸드엔컬쳐 메가젠대구광역시 달성군 다사읍 세천로7길 45_ 5층집단급식소200150018000(주)오케이산업2022-10-31