Overview

Dataset statistics

Number of variables9
Number of observations813
Missing cells334
Missing cells (%)4.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory58.1 KiB
Average record size in memory73.2 B

Variable types

Categorical3
Text4
Numeric1
DateTime1

Dataset

Description경기도 평택시 음식물 폐기물 다량배출 사업장 현황 정보로 상호명, 주소, 사업장구분, 사업장규모, 처리방법구분, 위탁업소명 등의 데이터를 제공합니다.
Author경기도 평택시
URLhttps://www.data.go.kr/data/15039674/fileData.do

Alerts

시군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
처리방법구분 is highly imbalanced (86.1%)Imbalance
소재지지번주소 has 297 (36.5%) missing valuesMissing
위탁업소명 has 36 (4.4%) missing valuesMissing

Reproduction

Analysis started2023-12-12 12:45:06.938455
Analysis finished2023-12-12 12:45:08.117248
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
평택시
813 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
평택시 813
100.0%

Length

2023-12-12T21:45:08.169127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:45:08.243759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평택시 813
100.0%

상호명
Text

Distinct794
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
2023-12-12T21:45:08.414941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length7.4366544
Min length2

Characters and Unicode

Total characters6046
Distinct characters544
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique780 ?
Unique (%)95.9%

Sample

1st row소담횟집
2nd row공룡고기평택점
3rd row팔선생
4th row안일옥
5th row정육식당평궁
ValueCountFrequency (%)
㈜아워홈 15
 
1.6%
주식회사 12
 
1.3%
평택점 7
 
0.7%
㈜신세계푸드 6
 
0.6%
구내식당 4
 
0.4%
니토옵티칼 3
 
0.3%
평택안중점 3
 
0.3%
비앤비 3
 
0.3%
안중점 3
 
0.3%
학교법인 2
 
0.2%
Other values (856) 882
93.8%
2023-12-12T21:45:08.742684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
129
 
2.1%
평 128
 
2.1%
점 124
 
2.1%
택 121
 
2.0%
이 120
 
2.0%
㈜ 99
 
1.6%
) 98
 
1.6%
학 97
 
1.6%
( 97
 
1.6%
원 92
 
1.5%
Other values (534) 4941
81.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5499
91.0%
Space Separator 129
 
2.1%
Other Symbol 99
 
1.6%
Close Punctuation 99
 
1.6%
Open Punctuation 98
 
1.6%
Uppercase Letter 60
 
1.0%
Decimal Number 35
 
0.6%
Other Punctuation 18
 
0.3%
Lowercase Letter 3
 
< 0.1%
Connector Punctuation 2
 
< 0.1%
Other values (2) 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
평 128
 
2.3%
점 124
 
2.3%
택 121
 
2.2%
이 120
 
2.2%
학 97
 
1.8%
원 92
 
1.7%
스 92
 
1.7%
교 90
 
1.6%
식 90
 
1.6%
리 81
 
1.5%
Other values (490) 4464
81.2%
Uppercase Letter
ValueCountFrequency (%)
D 6
10.0%
C 6
10.0%
S 6
10.0%
L 5
 
8.3%
O 5
 
8.3%
F 4
 
6.7%
G 4
 
6.7%
K 4
 
6.7%
M 3
 
5.0%
T 3
 
5.0%
Other values (9) 14
23.3%
Decimal Number
ValueCountFrequency (%)
1 11
31.4%
0 6
17.1%
2 5
14.3%
3 4
 
11.4%
7 3
 
8.6%
8 2
 
5.7%
4 2
 
5.7%
9 1
 
2.9%
6 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
& 8
44.4%
, 4
22.2%
/ 4
22.2%
. 2
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
h 1
33.3%
a 1
33.3%
i 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 98
99.0%
] 1
 
1.0%
Open Punctuation
ValueCountFrequency (%)
( 97
99.0%
[ 1
 
1.0%
Space Separator
ValueCountFrequency (%)
129
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 99
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
> 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5598
92.6%
Common 385
 
6.4%
Latin 63
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
평 128
 
2.3%
점 124
 
2.2%
택 121
 
2.2%
이 120
 
2.1%
㈜ 99
 
1.8%
학 97
 
1.7%
원 92
 
1.6%
스 92
 
1.6%
교 90
 
1.6%
식 90
 
1.6%
Other values (491) 4545
81.2%
Latin
ValueCountFrequency (%)
D 6
 
9.5%
C 6
 
9.5%
S 6
 
9.5%
L 5
 
7.9%
O 5
 
7.9%
F 4
 
6.3%
G 4
 
6.3%
K 4
 
6.3%
M 3
 
4.8%
T 3
 
4.8%
Other values (12) 17
27.0%
Common
ValueCountFrequency (%)
129
33.5%
) 98
25.5%
( 97
25.2%
1 11
 
2.9%
& 8
 
2.1%
0 6
 
1.6%
2 5
 
1.3%
, 4
 
1.0%
3 4
 
1.0%
/ 4
 
1.0%
Other values (11) 19
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5499
91.0%
ASCII 448
 
7.4%
None 99
 
1.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
129
28.8%
) 98
21.9%
( 97
21.7%
1 11
 
2.5%
& 8
 
1.8%
D 6
 
1.3%
0 6
 
1.3%
C 6
 
1.3%
S 6
 
1.3%
L 5
 
1.1%
Other values (33) 76
17.0%
Hangul
ValueCountFrequency (%)
평 128
 
2.3%
점 124
 
2.3%
택 121
 
2.2%
이 120
 
2.2%
학 97
 
1.8%
원 92
 
1.7%
스 92
 
1.7%
교 90
 
1.6%
식 90
 
1.6%
리 81
 
1.5%
Other values (490) 4464
81.2%
None
ValueCountFrequency (%)
㈜ 99
100.0%

소재지도로명주소
Text

Distinct788
Distinct (%)97.0%
Missing1
Missing (%)0.1%
Memory size6.5 KiB
2023-12-12T21:45:09.042869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length43
Mean length23.926108
Min length14

Characters and Unicode

Total characters19428
Distinct characters267
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

Unique769 ?
Unique (%)94.7%

Sample

1st row경기도 평택시 서동대로 3867-1, 2층 (용이동)
2nd row경기도 평택시 평택로 145, 2층 (신대동)
3rd row경기도 평택시 중앙2로 131 (합정동,외1필지(912-15))
4th row경기도 평택시 평택5로96번길 40 (비전동)
5th row경기도 평택시 팽성읍 신궁2길 103(팽성읍)
ValueCountFrequency (%)
경기도 812
 
18.6%
평택시 812
 
18.6%
포승읍 110
 
2.5%
안중읍 79
 
1.8%
비전동 60
 
1.4%
1층 59
 
1.4%
청북면 51
 
1.2%
2층 51
 
1.2%
진위면 45
 
1.0%
서정동 42
 
1.0%
Other values (995) 2236
51.3%
2023-12-12T21:45:09.551737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3592
18.5%
평 939
 
4.8%
택 927
 
4.8%
기 849
 
4.4%
경 845
 
4.3%
도 824
 
4.2%
시 819
 
4.2%
1 727
 
3.7%
로 617
 
3.2%
2 582
 
3.0%
Other values (257) 8707
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11116
57.2%
Space Separator 3592
 
18.5%
Decimal Number 3244
 
16.7%
Close Punctuation 451
 
2.3%
Open Punctuation 451
 
2.3%
Other Punctuation 329
 
1.7%
Dash Punctuation 185
 
1.0%
Uppercase Letter 48
 
0.2%
Math Symbol 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
평 939
 
8.4%
택 927
 
8.3%
기 849
 
7.6%
경 845
 
7.6%
도 824
 
7.4%
시 819
 
7.4%
로 617
 
5.6%
동 529
 
4.8%
길 326
 
2.9%
읍 254
 
2.3%
Other values (234) 4187
37.7%
Decimal Number
ValueCountFrequency (%)
1 727
22.4%
2 582
17.9%
3 352
10.9%
5 281
 
8.7%
4 264
 
8.1%
0 259
 
8.0%
6 231
 
7.1%
7 199
 
6.1%
8 187
 
5.8%
9 162
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
A 21
43.8%
B 14
29.2%
C 5
 
10.4%
K 4
 
8.3%
M 2
 
4.2%
F 1
 
2.1%
E 1
 
2.1%
Space Separator
ValueCountFrequency (%)
3592
100.0%
Close Punctuation
ValueCountFrequency (%)
) 451
100.0%
Open Punctuation
ValueCountFrequency (%)
( 451
100.0%
Other Punctuation
ValueCountFrequency (%)
, 329
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 185
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11116
57.2%
Common 8264
42.5%
Latin 48
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
평 939
 
8.4%
택 927
 
8.3%
기 849
 
7.6%
경 845
 
7.6%
도 824
 
7.4%
시 819
 
7.4%
로 617
 
5.6%
동 529
 
4.8%
길 326
 
2.9%
읍 254
 
2.3%
Other values (234) 4187
37.7%
Common
ValueCountFrequency (%)
3592
43.5%
1 727
 
8.8%
2 582
 
7.0%
) 451
 
5.5%
( 451
 
5.5%
3 352
 
4.3%
, 329
 
4.0%
5 281
 
3.4%
4 264
 
3.2%
0 259
 
3.1%
Other values (6) 976
 
11.8%
Latin
ValueCountFrequency (%)
A 21
43.8%
B 14
29.2%
C 5
 
10.4%
K 4
 
8.3%
M 2
 
4.2%
F 1
 
2.1%
E 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11116
57.2%
ASCII 8312
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3592
43.2%
1 727
 
8.7%
2 582
 
7.0%
) 451
 
5.4%
( 451
 
5.4%
3 352
 
4.2%
, 329
 
4.0%
5 281
 
3.4%
4 264
 
3.2%
0 259
 
3.1%
Other values (13) 1024
 
12.3%
Hangul
ValueCountFrequency (%)
평 939
 
8.4%
택 927
 
8.3%
기 849
 
7.6%
경 845
 
7.6%
도 824
 
7.4%
시 819
 
7.4%
로 617
 
5.6%
동 529
 
4.8%
길 326
 
2.9%
읍 254
 
2.3%
Other values (234) 4187
37.7%

소재지지번주소
Text

MISSING 

Distinct498
Distinct (%)96.5%
Missing297
Missing (%)36.5%
Memory size6.5 KiB
2023-12-12T21:45:09.848558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length42
Mean length21.782946
Min length11

Characters and Unicode

Total characters11240
Distinct characters184
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

Unique485 ?
Unique (%)94.0%

Sample

1st row경기도 평택시 용이동 467번지 4호 2층
2nd row경기도 평택시 신대동 111번지 1호 (2층)
3rd row경기도 평택시 합정동 912번지 13호 외1필지(912-15)
4th row경기도 평택시 비전동 829번지 8호
5th row경기도 평택시 팽성읍 신궁리 145번지 2호 외1필지
ValueCountFrequency (%)
경기도 516
20.2%
평택시 516
20.2%
비전동 79
 
3.1%
합정동 46
 
1.8%
1호 45
 
1.8%
서정동 42
 
1.6%
진위면 41
 
1.6%
이충동 35
 
1.4%
팽성읍 32
 
1.3%
2호 31
 
1.2%
Other values (618) 1167
45.8%
2023-12-12T21:45:10.604725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2366
21.0%
평 539
 
4.8%
택 539
 
4.8%
도 522
 
4.6%
기 517
 
4.6%
경 516
 
4.6%
시 516
 
4.6%
1 510
 
4.5%
동 455
 
4.0%
2 326
 
2.9%
Other values (174) 4434
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6077
54.1%
Decimal Number 2374
 
21.1%
Space Separator 2366
 
21.0%
Dash Punctuation 220
 
2.0%
Other Punctuation 65
 
0.6%
Close Punctuation 56
 
0.5%
Open Punctuation 56
 
0.5%
Uppercase Letter 18
 
0.2%
Math Symbol 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
평 539
 
8.9%
택 539
 
8.9%
도 522
 
8.6%
기 517
 
8.5%
경 516
 
8.5%
시 516
 
8.5%
동 455
 
7.5%
지 306
 
5.0%
번 229
 
3.8%
호 224
 
3.7%
Other values (152) 1714
28.2%
Decimal Number
ValueCountFrequency (%)
1 510
21.5%
2 326
13.7%
3 271
11.4%
0 202
 
8.5%
4 197
 
8.3%
6 185
 
7.8%
5 179
 
7.5%
9 173
 
7.3%
7 170
 
7.2%
8 161
 
6.8%
Uppercase Letter
ValueCountFrequency (%)
A 8
44.4%
B 4
22.2%
K 2
 
11.1%
M 2
 
11.1%
C 2
 
11.1%
Other Punctuation
ValueCountFrequency (%)
, 64
98.5%
. 1
 
1.5%
Space Separator
ValueCountFrequency (%)
2366
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 220
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6077
54.1%
Common 5145
45.8%
Latin 18
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
평 539
 
8.9%
택 539
 
8.9%
도 522
 
8.6%
기 517
 
8.5%
경 516
 
8.5%
시 516
 
8.5%
동 455
 
7.5%
지 306
 
5.0%
번 229
 
3.8%
호 224
 
3.7%
Other values (152) 1714
28.2%
Common
ValueCountFrequency (%)
2366
46.0%
1 510
 
9.9%
2 326
 
6.3%
3 271
 
5.3%
- 220
 
4.3%
0 202
 
3.9%
4 197
 
3.8%
6 185
 
3.6%
5 179
 
3.5%
9 173
 
3.4%
Other values (7) 516
 
10.0%
Latin
ValueCountFrequency (%)
A 8
44.4%
B 4
22.2%
K 2
 
11.1%
M 2
 
11.1%
C 2
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6077
54.1%
ASCII 5163
45.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2366
45.8%
1 510
 
9.9%
2 326
 
6.3%
3 271
 
5.2%
- 220
 
4.3%
0 202
 
3.9%
4 197
 
3.8%
6 185
 
3.6%
5 179
 
3.5%
9 173
 
3.4%
Other values (12) 534
 
10.3%
Hangul
ValueCountFrequency (%)
평 539
 
8.9%
택 539
 
8.9%
도 522
 
8.6%
기 517
 
8.5%
경 516
 
8.5%
시 516
 
8.5%
동 455
 
7.5%
지 306
 
5.0%
번 229
 
3.8%
호 224
 
3.7%
Other values (152) 1714
28.2%

사업장구분
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
음식점
494 
집단급식소
306 
호텔·콘도
 
10
대규모점포
 
3

Length

Max length5
Median length3
Mean length3.7847478
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
음식점 494
60.8%
집단급식소 306
37.6%
호텔·콘도 10
 
1.2%
대규모점포 3
 
0.4%

Length

2023-12-12T21:45:10.753600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:45:10.876486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음식점 494
60.8%
집단급식소 306
37.6%
호텔·콘도 10
 
1.2%
대규모점포 3
 
0.4%

사업장규모(제곱미터)
Real number (ℝ)

Distinct549
Distinct (%)67.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean432.57947
Minimum45
Maximum19316.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2023-12-12T21:45:11.019181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45
5-th percentile104.2
Q1214.87
median270.6
Q3396.6
95-th percentile1050
Maximum19316.9
Range19271.9
Interquartile range (IQR)181.73

Descriptive statistics

Standard deviation1021.4437
Coefficient of variation (CV)2.3612856
Kurtosis271.60668
Mean432.57947
Median Absolute Deviation (MAD)68.9
Skewness15.358737
Sum351687.11
Variance1043347.2
MonotonicityNot monotonic
2023-12-12T21:45:11.232595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 25
 
3.1%
200.0 20
 
2.5%
150.0 17
 
2.1%
300.0 17
 
2.1%
250.0 15
 
1.8%
120.0 10
 
1.2%
330.0 10
 
1.2%
400.0 9
 
1.1%
500.0 9
 
1.1%
1000.0 8
 
1.0%
Other values (539) 673
82.8%
ValueCountFrequency (%)
45.0 1
 
0.1%
55.0 1
 
0.1%
63.0 1
 
0.1%
70.0 1
 
0.1%
80.0 3
 
0.4%
90.0 4
 
0.5%
93.0 1
 
0.1%
96.0 1
 
0.1%
100.0 25
3.1%
102.0 1
 
0.1%
ValueCountFrequency (%)
19316.9 1
0.1%
18733.65 1
0.1%
5570.0 1
0.1%
5000.0 1
0.1%
4300.0 1
0.1%
3500.0 1
0.1%
3000.0 1
0.1%
2860.0 1
0.1%
2737.77 1
0.1%
2260.0 1
0.1%

처리방법구분
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
위탁재활용
777 
자가처리
 
34
자가재활용
 
1
자가처리+위탁재활용
 
1

Length

Max length10
Median length5
Mean length4.9643296
Min length4

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
위탁재활용 777
95.6%
자가처리 34
 
4.2%
자가재활용 1
 
0.1%
자가처리+위탁재활용 1
 
0.1%

Length

2023-12-12T21:45:11.388406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:45:11.510641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁재활용 777
95.6%
자가처리 34
 
4.2%
자가재활용 1
 
0.1%
자가처리+위탁재활용 1
 
0.1%

위탁업소명
Text

MISSING 

Distinct68
Distinct (%)8.8%
Missing36
Missing (%)4.4%
Memory size6.5 KiB
2023-12-12T21:45:11.693152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length3.4890605
Min length2

Characters and Unicode

Total characters2711
Distinct characters113
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)3.6%

Sample

1st row청광
2nd row청광
3rd row청광
4th row청광
5th row청광
ValueCountFrequency (%)
청광 241
30.9%
㈜청광 95
 
12.2%
그린월드 69
 
8.8%
초록지기 58
 
7.4%
삼정환경 51
 
6.5%
그린아산 36
 
4.6%
제일농장 34
 
4.4%
펩스유통 28
 
3.6%
㈜그린월드 24
 
3.1%
크린시티 11
 
1.4%
Other values (57) 133
17.1%
2023-12-12T21:45:12.052280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 339
 
12.5%
청 338
 
12.5%
㈜ 161
 
5.9%
린 154
 
5.7%
그 133
 
4.9%
월 95
 
3.5%
드 95
 
3.5%
경 87
 
3.2%
환 86
 
3.2%
지 69
 
2.5%
Other values (103) 1154
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2529
93.3%
Other Symbol 161
 
5.9%
Other Punctuation 7
 
0.3%
Space Separator 5
 
0.2%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 339
 
13.4%
청 338
 
13.4%
린 154
 
6.1%
그 133
 
5.3%
월 95
 
3.8%
드 95
 
3.8%
경 87
 
3.4%
환 86
 
3.4%
지 69
 
2.7%
기 66
 
2.6%
Other values (95) 1067
42.2%
Uppercase Letter
ValueCountFrequency (%)
N 1
33.3%
P 1
33.3%
A 1
33.3%
Other Symbol
ValueCountFrequency (%)
㈜ 161
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 7
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2690
99.2%
Common 18
 
0.7%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 339
 
12.6%
청 338
 
12.6%
㈜ 161
 
6.0%
린 154
 
5.7%
그 133
 
4.9%
월 95
 
3.5%
드 95
 
3.5%
경 87
 
3.2%
환 86
 
3.2%
지 69
 
2.6%
Other values (96) 1133
42.1%
Common
ValueCountFrequency (%)
/ 7
38.9%
5
27.8%
( 3
16.7%
) 3
16.7%
Latin
ValueCountFrequency (%)
N 1
33.3%
P 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2529
93.3%
None 161
 
5.9%
ASCII 21
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 339
 
13.4%
청 338
 
13.4%
린 154
 
6.1%
그 133
 
5.3%
월 95
 
3.8%
드 95
 
3.8%
경 87
 
3.4%
환 86
 
3.4%
지 69
 
2.7%
기 66
 
2.6%
Other values (95) 1067
42.2%
None
ValueCountFrequency (%)
㈜ 161
100.0%
ASCII
ValueCountFrequency (%)
/ 7
33.3%
5
23.8%
( 3
14.3%
) 3
14.3%
N 1
 
4.8%
P 1
 
4.8%
A 1
 
4.8%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
Minimum2022-08-08 00:00:00
Maximum2022-08-08 00:00:00
2023-12-12T21:45:12.186732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:45:12.279315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T21:45:07.688271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:45:12.365217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장구분사업장규모(제곱미터)처리방법구분위탁업소명
사업장구분1.0000.8260.0000.720
사업장규모(제곱미터)0.8261.0000.0000.580
처리방법구분0.0000.0001.0001.000
위탁업소명0.7200.5801.0001.000
2023-12-12T21:45:12.487388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장구분처리방법구분
사업장구분1.0000.000
처리방법구분0.0001.000
2023-12-12T21:45:12.615764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장규모(제곱미터)사업장구분처리방법구분
사업장규모(제곱미터)1.0000.4720.000
사업장구분0.4721.0000.000
처리방법구분0.0000.0001.000

Missing values

2023-12-12T21:45:07.826368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:45:07.952971image/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.
2023-12-12T21:45:08.060544image/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

시군명상호명소재지도로명주소소재지지번주소사업장구분사업장규모(제곱미터)처리방법구분위탁업소명데이터기준일자
0평택시소담횟집경기도 평택시 서동대로 3867-1, 2층 (용이동)경기도 평택시 용이동 467번지 4호 2층음식점394.26위탁재활용청광2022-08-08
1평택시공룡고기평택점경기도 평택시 평택로 145, 2층 (신대동)경기도 평택시 신대동 111번지 1호 (2층)음식점214.5위탁재활용청광2022-08-08
2평택시팔선생경기도 평택시 중앙2로 131 (합정동,외1필지(912-15))경기도 평택시 합정동 912번지 13호 외1필지(912-15)음식점239.91위탁재활용청광2022-08-08
3평택시안일옥경기도 평택시 평택5로96번길 40 (비전동)경기도 평택시 비전동 829번지 8호음식점213.5위탁재활용청광2022-08-08
4평택시정육식당평궁경기도 평택시 팽성읍 신궁2길 103(팽성읍)경기도 평택시 팽성읍 신궁리 145번지 2호 외1필지음식점335.18위탁재활용청광2022-08-08
5평택시김경자소문난대구왕뽈찜경기도 평택시 조개터로26번길 27, 1층 (합정동)경기도 평택시 합정동 905번지 6호 (1층)음식점247.26위탁재활용청광2022-08-08
6평택시한국맥도날드(유)평택GS점경기도 평택시 서동대로 3929, 1,2층 (용이동)경기도 평택시 용이동 470번지 5호 1,2층음식점435.39위탁재활용청광2022-08-08
7평택시손부자갈비경기도 평택시 중앙2로 166, 1층 (합정동)경기도 평택시 합정동 915번지 1호 외1필지음식점418.27위탁재활용청광2022-08-08
8평택시고려정경기도 평택시 평택3로 75 (비전동)경기도 평택시 비전동 603번지 2호음식점755.34위탁재활용청광2022-08-08
9평택시더블유웨딩뷔페경기도 평택시 경기대로 721, 2,3,4층 (지제동)경기도 평택시 지제동 565번지 2호음식점2249.03위탁재활용청광2022-08-08
시군명상호명소재지도로명주소소재지지번주소사업장구분사업장규모(제곱미터)처리방법구분위탁업소명데이터기준일자
803평택시평택호 그랜드 관광호텔경기도 평택시 현덕면 평택호길 39-15<NA>호텔·콘도96.0위탁재활용㈜청광2022-08-08
804평택시샤브마니아 평택소사벌점경기도 평택시 비전4로 160, 가동2층<NA>음식점284.0위탁재활용케이비아이울트라2022-08-08
805평택시서해꽃게장경기도 평택시 만세로 1684-1,1층(죽백동)<NA>음식점216.47위탁재활용케이비아이울트라2022-08-08
806평택시정소반쭈꾸미경기도 평택시 만세로 1591, 1층 (청룡동)<NA>음식점241.6자가처리<NA>2022-08-08
807평택시푸른동삭유치원경기도 평택시 상서재로2길 45(동삭동 840-2)<NA>집단급식소241.0위탁재활용(주)그린월드2022-08-08
808평택시삼성웰스토리㈜시디즈평택경기도 평택시 세교산단로 67-20(세교동)<NA>집단급식소300.0위탁재활용이엘투엘㈜2022-08-08
809평택시갈비랑 냉면 소삿벌경기도 평택시 만세로 1721-1, 1층(죽백동)<NA>음식점432.0자가처리+위탁재활용㈜신영에프엔씨2022-08-08
810평택시한솔유치원경기도 평택시 만세로 1690<NA>집단급식소230.0자가처리<NA>2022-08-08
811평택시소사벌 양꼬치경기도 평택시 비전2로 7, 2층<NA>음식점240.51자가처리<NA>2022-08-08
812평택시푸르웰㈜경기도 평택시 동삭동 동삭세교지구 공동1블록 2동 1층<NA>음식점342.27위탁재활용㈜두비원/㈜혜인이엔씨/㈜리코2022-08-08