Overview

Dataset statistics

Number of variables11
Number of observations67
Missing cells70
Missing cells (%)9.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.1 KiB
Average record size in memory94.0 B

Variable types

Numeric3
Categorical5
Text3

Dataset

Description충청북도 제천시의 음식 폐기물 다량 배출 사업체 정보사업장구분, 사업장명, 주소, 연락처, 면적, 평균이용인원, 객실수
Author충청북도 제천시
URLhttps://www.data.go.kr/data/15093748/fileData.do

Alerts

지역 has constant value ""Constant
시 has constant value ""Constant
데이터기준일 has constant value ""Constant
사업장구분 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
객실 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 사업장구분 and 1 other fieldsHigh correlation
평균인원 is highly overall correlated with 사업장구분High correlation
객실 is highly imbalanced (83.3%)Imbalance
면적(m2) has 52 (77.6%) missing valuesMissing
평균인원 has 18 (26.9%) missing valuesMissing
연번 has unique valuesUnique
사업장명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:44:25.306512
Analysis finished2023-12-12 09:44:27.216260
Duration1.91 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34
Minimum1
Maximum67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-12T18:44:27.297954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.3
Q117.5
median34
Q350.5
95-th percentile63.7
Maximum67
Range66
Interquartile range (IQR)33

Descriptive statistics

Standard deviation19.485037
Coefficient of variation (CV)0.57308932
Kurtosis-1.2
Mean34
Median Absolute Deviation (MAD)17
Skewness0
Sum2278
Variance379.66667
MonotonicityStrictly increasing
2023-12-12T18:44:27.497483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
44 1
 
1.5%
50 1
 
1.5%
49 1
 
1.5%
48 1
 
1.5%
47 1
 
1.5%
46 1
 
1.5%
45 1
 
1.5%
43 1
 
1.5%
2 1
 
1.5%
Other values (57) 57
85.1%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
67 1
1.5%
66 1
1.5%
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%
58 1
1.5%

지역
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
충청북도
67 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충청북도 67
100.0%

Length

2023-12-12T18:44:27.658492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:44:27.782936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청북도 67
100.0%

시
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
제천시
67 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제천시 67
100.0%

Length

2023-12-12T18:44:27.924173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:44:28.045534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제천시 67
100.0%

사업장구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
집단급식소
50 
일반음식점
14 
호텔콘도
 
3

Length

Max length5
Median length5
Mean length4.9552239
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
집단급식소 50
74.6%
일반음식점 14
 
20.9%
호텔콘도 3
 
4.5%

Length

2023-12-12T18:44:28.185289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:44:28.305584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 50
74.6%
일반음식점 14
 
20.9%
호텔콘도 3
 
4.5%

사업장명
Text

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-12-12T18:44:28.619423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length9.1641791
Min length3

Characters and Unicode

Total characters614
Distinct characters171
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)100.0%

Sample

1st row동원가든
2nd row이에스리조트
3rd row청풍리조트 레이크호텔
4th row청풍리조트 힐하우스
5th row장어사냥
ValueCountFrequency (%)
의료법인 3
 
3.3%
구내식당 2
 
2.2%
세명대학교 2
 
2.2%
청풍리조트 2
 
2.2%
씨제이프레시웨이 2
 
2.2%
청풍호노인사랑병원 1
 
1.1%
명지의료재단 1
 
1.1%
제천디지털전자고등학교 1
 
1.1%
대제중학교 1
 
1.1%
제천성지병원 1
 
1.1%
Other values (74) 74
82.2%
2023-12-12T18:44:29.167011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 33
 
5.4%
교 31
 
5.0%
제 26
 
4.2%
23
 
3.7%
천 22
 
3.6%
등 21
 
3.4%
초 15
 
2.4%
원 13
 
2.1%
의 12
 
2.0%
식 12
 
2.0%
Other values (161) 406
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 567
92.3%
Space Separator 23
 
3.7%
Close Punctuation 10
 
1.6%
Open Punctuation 10
 
1.6%
Other Symbol 2
 
0.3%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 33
 
5.8%
교 31
 
5.5%
제 26
 
4.6%
천 22
 
3.9%
등 21
 
3.7%
초 15
 
2.6%
원 13
 
2.3%
의 12
 
2.1%
식 12
 
2.1%
스 11
 
1.9%
Other values (156) 371
65.4%
Space Separator
ValueCountFrequency (%)
23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 569
92.7%
Common 43
 
7.0%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 33
 
5.8%
교 31
 
5.4%
제 26
 
4.6%
천 22
 
3.9%
등 21
 
3.7%
초 15
 
2.6%
원 13
 
2.3%
의 12
 
2.1%
식 12
 
2.1%
스 11
 
1.9%
Other values (157) 373
65.6%
Common
ValueCountFrequency (%)
23
53.5%
) 10
23.3%
( 10
23.3%
Latin
ValueCountFrequency (%)
C 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 567
92.3%
ASCII 45
 
7.3%
None 2
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 33
 
5.8%
교 31
 
5.5%
제 26
 
4.6%
천 22
 
3.9%
등 21
 
3.7%
초 15
 
2.6%
원 13
 
2.3%
의 12
 
2.1%
식 12
 
2.1%
스 11
 
1.9%
Other values (156) 371
65.4%
ASCII
ValueCountFrequency (%)
23
51.1%
) 10
22.2%
( 10
22.2%
C 2
 
4.4%
None
ValueCountFrequency (%)
㈜ 2
100.0%

사업장 지번주소
Text

Distinct66
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-12-12T18:44:29.505481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length29
Mean length23.149254
Min length15

Characters and Unicode

Total characters1551
Distinct characters116
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

Unique65 ?
Unique (%)97.0%

Sample

1st row충청북도 제천시 봉양읍 제원로10길 55
2nd row충청북도 제천시 수산면 옥순봉로 1248
3rd row충청북도 제천시 청풍면 청풍호로 1798
4th row충청북도 제천시 청풍면 청풍호로 1763
5th row충청북도 제천시 송학면 시곡포전로 214
ValueCountFrequency (%)
충청북도 67
 
19.8%
제천시 67
 
19.8%
봉양읍 6
 
1.8%
왕암동 5
 
1.5%
청전동 5
 
1.5%
청풍호로 4
 
1.2%
신월동 4
 
1.2%
의병대로 4
 
1.2%
송학면 4
 
1.2%
신백동 3
 
0.9%
Other values (137) 170
50.1%
2023-12-12T18:44:29.984715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
276
17.8%
청 84
 
5.4%
천 77
 
5.0%
제 72
 
4.6%
북 70
 
4.5%
시 68
 
4.4%
충 67
 
4.3%
도 67
 
4.3%
로 61
 
3.9%
1 55
 
3.5%
Other values (106) 654
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 961
62.0%
Space Separator 276
 
17.8%
Decimal Number 218
 
14.1%
Close Punctuation 38
 
2.5%
Open Punctuation 38
 
2.5%
Other Punctuation 13
 
0.8%
Dash Punctuation 6
 
0.4%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 84
 
8.7%
천 77
 
8.0%
제 72
 
7.5%
북 70
 
7.3%
시 68
 
7.1%
충 67
 
7.0%
도 67
 
7.0%
로 61
 
6.3%
동 42
 
4.4%
대 16
 
1.7%
Other values (90) 337
35.1%
Decimal Number
ValueCountFrequency (%)
1 55
25.2%
3 30
13.8%
6 21
 
9.6%
5 21
 
9.6%
2 20
 
9.2%
4 17
 
7.8%
8 16
 
7.3%
9 15
 
6.9%
0 14
 
6.4%
7 9
 
4.1%
Space Separator
ValueCountFrequency (%)
276
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 961
62.0%
Common 590
38.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 84
 
8.7%
천 77
 
8.0%
제 72
 
7.5%
북 70
 
7.3%
시 68
 
7.1%
충 67
 
7.0%
도 67
 
7.0%
로 61
 
6.3%
동 42
 
4.4%
대 16
 
1.7%
Other values (90) 337
35.1%
Common
ValueCountFrequency (%)
276
46.8%
1 55
 
9.3%
) 38
 
6.4%
( 38
 
6.4%
3 30
 
5.1%
6 21
 
3.6%
5 21
 
3.6%
2 20
 
3.4%
4 17
 
2.9%
8 16
 
2.7%
Other values (6) 58
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 961
62.0%
ASCII 590
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
276
46.8%
1 55
 
9.3%
) 38
 
6.4%
( 38
 
6.4%
3 30
 
5.1%
6 21
 
3.6%
5 21
 
3.6%
2 20
 
3.4%
4 17
 
2.9%
8 16
 
2.7%
Other values (6) 58
 
9.8%
Hangul
ValueCountFrequency (%)
청 84
 
8.7%
천 77
 
8.0%
제 72
 
7.5%
북 70
 
7.3%
시 68
 
7.1%
충 67
 
7.0%
도 67
 
7.0%
로 61
 
6.3%
동 42
 
4.4%
대 16
 
1.7%
Other values (90) 337
35.1%

사업장 전화번호
Text

Distinct65
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-12-12T18:44:30.315464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12
Min length11

Characters and Unicode

Total characters804
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

Unique63 ?
Unique (%)94.0%

Sample

1st row043-651-8100
2nd row043-641-0155
3rd row043-640-7190
4th row043-640-7190
5th row043-646-8355
ValueCountFrequency (%)
043-640-7190 2
 
3.0%
043-645-1125 2
 
3.0%
043-653-9988 1
 
1.5%
043-643-4290 1
 
1.5%
043-648-6274 1
 
1.5%
043-652-6982 1
 
1.5%
043-651-8100 1
 
1.5%
043-641-4869 1
 
1.5%
043-645-8671 1
 
1.5%
043-640-8114 1
 
1.5%
Other values (55) 55
82.1%
2023-12-12T18:44:30.871891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 135
16.8%
- 134
16.7%
0 125
15.5%
6 97
12.1%
3 92
11.4%
2 49
 
6.1%
5 41
 
5.1%
1 39
 
4.9%
8 36
 
4.5%
7 34
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 670
83.3%
Dash Punctuation 134
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 135
20.1%
0 125
18.7%
6 97
14.5%
3 92
13.7%
2 49
 
7.3%
5 41
 
6.1%
1 39
 
5.8%
8 36
 
5.4%
7 34
 
5.1%
9 22
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 134
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 804
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 135
16.8%
- 134
16.7%
0 125
15.5%
6 97
12.1%
3 92
11.4%
2 49
 
6.1%
5 41
 
5.1%
1 39
 
4.9%
8 36
 
4.5%
7 34
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 804
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 135
16.8%
- 134
16.7%
0 125
15.5%
6 97
12.1%
3 92
11.4%
2 49
 
6.1%
5 41
 
5.1%
1 39
 
4.9%
8 36
 
4.5%
7 34
 
4.2%

면적(m2)
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)100.0%
Missing52
Missing (%)77.6%
Infinite0
Infinite (%)0.0%
Mean881.03867
Minimum100
Maximum4036.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-12T18:44:31.031255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile271.85
Q1384.5
median619
Q3798
95-th percentile2371.228
Maximum4036.71
Range3936.71
Interquartile range (IQR)413.5

Descriptive statistics

Standard deviation961.33395
Coefficient of variation (CV)1.0911371
Kurtosis9.1343485
Mean881.03867
Median Absolute Deviation (MAD)246
Skewness2.861086
Sum13215.58
Variance924162.97
MonotonicityNot monotonic
2023-12-12T18:44:31.193944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
470.0 1
 
1.5%
396.0 1
 
1.5%
1657.45 1
 
1.5%
4036.71 1
 
1.5%
660.0 1
 
1.5%
1368.0 1
 
1.5%
345.5 1
 
1.5%
668.0 1
 
1.5%
619.0 1
 
1.5%
355.95 1
 
1.5%
Other values (5) 5
 
7.5%
(Missing) 52
77.6%
ValueCountFrequency (%)
100.0 1
1.5%
345.5 1
1.5%
355.95 1
1.5%
373.0 1
1.5%
396.0 1
1.5%
470.0 1
1.5%
569.97 1
1.5%
619.0 1
1.5%
660.0 1
1.5%
668.0 1
1.5%
ValueCountFrequency (%)
4036.71 1
1.5%
1657.45 1
1.5%
1368.0 1
1.5%
924.0 1
1.5%
672.0 1
1.5%
668.0 1
1.5%
660.0 1
1.5%
619.0 1
1.5%
569.97 1
1.5%
470.0 1
1.5%

평균인원
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct43
Distinct (%)87.8%
Missing18
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean407.53061
Minimum100
Maximum1150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-12T18:44:31.360914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile102
Q1190
median400
Q3550
95-th percentile784
Maximum1150
Range1050
Interquartile range (IQR)360

Descriptive statistics

Standard deviation245.65339
Coefficient of variation (CV)0.60278512
Kurtosis1.3159677
Mean407.53061
Median Absolute Deviation (MAD)176
Skewness1.0140468
Sum19969
Variance60345.588
MonotonicityNot monotonic
2023-12-12T18:44:31.529416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
100 3
 
4.5%
410 2
 
3.0%
400 2
 
3.0%
150 2
 
3.0%
300 2
 
3.0%
166 1
 
1.5%
520 1
 
1.5%
628 1
 
1.5%
650 1
 
1.5%
577 1
 
1.5%
Other values (33) 33
49.3%
(Missing) 18
26.9%
ValueCountFrequency (%)
100 3
4.5%
105 1
 
1.5%
120 1
 
1.5%
135 1
 
1.5%
140 1
 
1.5%
150 2
3.0%
166 1
 
1.5%
170 1
 
1.5%
180 1
 
1.5%
190 1
 
1.5%
ValueCountFrequency (%)
1150 1
1.5%
1115 1
1.5%
820 1
1.5%
730 1
1.5%
705 1
1.5%
700 1
1.5%
650 1
1.5%
628 1
1.5%
600 1
1.5%
595 1
1.5%

객실
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
<NA>
64 
255
 
1
180
 
1
50
 
1

Length

Max length4
Median length4
Mean length3.9402985
Min length2

Unique

Unique3 ?
Unique (%)4.5%

Sample

1st row<NA>
2nd row255
3rd row180
4th row50
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 64
95.5%
255 1
 
1.5%
180 1
 
1.5%
50 1
 
1.5%

Length

2023-12-12T18:44:31.744588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:44:31.905930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 64
95.5%
255 1
 
1.5%
180 1
 
1.5%
50 1
 
1.5%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-10-17
67 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-17
2nd row2023-10-17
3rd row2023-10-17
4th row2023-10-17
5th row2023-10-17

Common Values

ValueCountFrequency (%)
2023-10-17 67
100.0%

Length

2023-12-12T18:44:32.048711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:44:32.161912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-17 67
100.0%

Interactions

2023-12-12T18:44:26.441930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:25.759452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:26.097597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:26.539471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:25.880472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:26.213821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:26.632750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:26.000479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:26.345987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:44:32.245552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사업장구분사업장명사업장 지번주소사업장 전화번호면적(m2)평균인원객실
연번1.0000.7331.0000.9420.9750.0000.535NaN
사업장구분0.7331.0001.0001.0001.0000.000NaNNaN
사업장명1.0001.0001.0001.0001.0001.0001.0001.000
사업장 지번주소0.9421.0001.0001.0001.0001.0001.0001.000
사업장 전화번호0.9751.0001.0001.0001.0001.0001.0001.000
면적(m2)0.0000.0001.0001.0001.0001.000NaNNaN
평균인원0.535NaN1.0001.0001.000NaN1.000NaN
객실NaNNaN1.0001.0001.000NaNNaN1.000
2023-12-12T18:44:32.378869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장구분객실
사업장구분1.0001.000
객실1.0001.000
2023-12-12T18:44:32.829112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면적(m2)평균인원사업장구분객실
연번1.000-0.289-0.0150.5631.000
면적(m2)-0.2891.000NaN0.0000.000
평균인원-0.015NaN1.0001.0000.000
사업장구분0.5630.0001.0001.0001.000
객실1.0000.0000.0001.0001.000

Missing values

2023-12-12T18:44:26.775816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:44:27.002381image/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.
2023-12-12T18:44:27.140867image/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

연번지역시사업장구분사업장명사업장 지번주소사업장 전화번호면적(m2)평균인원객실데이터기준일
01충청북도제천시일반음식점동원가든충청북도 제천시 봉양읍 제원로10길 55043-651-8100470.0<NA><NA>2023-10-17
12충청북도제천시호텔콘도이에스리조트충청북도 제천시 수산면 옥순봉로 1248043-641-0155<NA><NA>2552023-10-17
23충청북도제천시호텔콘도청풍리조트 레이크호텔충청북도 제천시 청풍면 청풍호로 1798043-640-7190<NA><NA>1802023-10-17
34충청북도제천시호텔콘도청풍리조트 힐하우스충청북도 제천시 청풍면 청풍호로 1763043-640-7190<NA><NA>502023-10-17
45충청북도제천시일반음식점장어사냥충청북도 제천시 송학면 시곡포전로 214043-646-8355396.0<NA><NA>2023-10-17
56충청북도제천시일반음식점삼성웰스토리㈜킹즈락CC충청북도 제천시 내토로7길 136 (천남동)043-640-90001657.45<NA><NA>2023-10-17
67충청북도제천시일반음식점주식회사그랜드컨벤션충청북도 제천시 청전대로 51 (청전동)043-652-30004036.71<NA><NA>2023-10-17
78충청북도제천시일반음식점다담뜰한식뷔페제천점충청북도 제천시 숭문로5길 6 (서부동)043-648-7800660.0<NA><NA>2023-10-17
89충청북도제천시일반음식점소뜰애충청북도 제천시 금성면 청풍호로 1030, 1~3층043-651-94851368.0<NA><NA>2023-10-17
910충청북도제천시일반음식점소담촌충청북도 제천시 고명로 6-8, 2층 (강제동)043-646-8887345.5<NA><NA>2023-10-17
연번지역시사업장구분사업장명사업장 지번주소사업장 전화번호면적(m2)평균인원객실데이터기준일
5758충청북도제천시집단급식소세종장례예식장충청북도 제천시 송학면 송학주천로 46043-642-4441<NA>300<NA>2023-10-17
5859충청북도제천시일반음식점지오생갈비충청북도 제천시 의림대로 318(2층)043-645-8060569.97<NA><NA>2023-10-17
5960충청북도제천시일반음식점엠씨푸드충청북도 제천시 의림대로 318(1층)043-646-3008924.0<NA><NA>2023-10-17
6061충청북도제천시집단급식소의료법인솔트의료재단 예성요양병원충청북도 제천시 용두천로 333043-653-7700<NA>410<NA>2023-10-17
6162충청북도제천시집단급식소㈜아워홈 제천영업소충청북도 제천시 한방엑스포로 104043-756-5217<NA>100<NA>2023-10-17
6263충청북도제천시일반음식점우리의밥상충청북도 제천시 왕암동 1069043-653-9988373.0<NA><NA>2023-10-17
6364충청북도제천시집단급식소세명대학교 집단급식소(예지학사)충청북도 제천시 세명로 65, 세명대학교 교수학생회관 1층 (신월동)043-645-1125<NA>100<NA>2023-10-17
6465충청북도제천시집단급식소씨제이프레시웨이 주식회사(휴메딕스)충청북도 제천시 왕암동 938043-648-6450<NA>135<NA>2023-10-17
6566충청북도제천시일반음식점다이닝원 제천점충청북도 제천시 강제동 686 3층043-648-6274672.0<NA><NA>2023-10-17
6667충청북도제천시집단급식소한국환경공단 인재개발원충청북도 제천시 금성면 성내리 113-16043-640-6322100.0<NA><NA>2023-10-17