Overview

Dataset statistics

Number of variables8
Number of observations314
Missing cells16
Missing cells (%)0.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.4 KiB
Average record size in memory66.4 B

Variable types

Categorical2
Text3
Numeric2
DateTime1

Dataset

Description경기도 평택시 내 유해 화학물질 취급 사업장 현황입니다. 업체명, 소재지도로명주소, 소재지지번주소, 업종명 등의 정보를 제공합니다.※ 문의 : 평택시청 환경지도과(031-8024-3777)
Author경기도 평택시
URLhttps://www.data.go.kr/data/15037437/fileData.do

Alerts

시군명 has constant value ""Constant
데이터기준일 has constant value ""Constant
소재지지번주소 has 16 (5.1%) missing valuesMissing
업체명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 15:44:59.983041
Analysis finished2024-03-14 15:45:02.540643
Duration2.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
평택시
314 

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 314
100.0%

Length

2024-03-15T00:45:02.732483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:45:03.034017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평택시 314
100.0%

업체명
Text

UNIQUE 

Distinct314
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-03-15T00:45:03.967365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length18
Mean length8.6528662
Min length3

Characters and Unicode

Total characters2717
Distinct characters314
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique314 ?
Unique (%)100.0%

Sample

1st row(주)한탑
2nd row주식회사 유라코퍼레이션 청북
3rd row(주)노루페인트포승공장
4th row(주)뉴그린
5th row(주)대동양행
ValueCountFrequency (%)
주식회사 44
 
11.4%
평택공장 3
 
0.8%
co.,ltd 2
 
0.5%
㈜유피케미칼 2
 
0.5%
에스케이엔펄스㈜ 2
 
0.5%
모든페인트 2
 
0.5%
㈜디에스단석 2
 
0.5%
주식회사알파어셈블리솔루션즈코리아 1
 
0.3%
주식회사서신 1
 
0.3%
주식회사린켐트랜스포테이션코리아 1
 
0.3%
Other values (327) 327
84.5%
2024-03-15T00:45:05.364048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
149
 
5.5%
142
 
5.2%
121
 
4.5%
120
 
4.4%
94
 
3.5%
76
 
2.8%
74
 
2.7%
73
 
2.7%
51
 
1.9%
43
 
1.6%
Other values (304) 1774
65.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2328
85.7%
Other Symbol 94
 
3.5%
Space Separator 73
 
2.7%
Decimal Number 58
 
2.1%
Uppercase Letter 42
 
1.5%
Close Punctuation 39
 
1.4%
Open Punctuation 39
 
1.4%
Other Punctuation 23
 
0.8%
Lowercase Letter 14
 
0.5%
Dash Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
149
 
6.4%
142
 
6.1%
121
 
5.2%
120
 
5.2%
76
 
3.3%
74
 
3.2%
51
 
2.2%
43
 
1.8%
41
 
1.8%
39
 
1.7%
Other values (259) 1472
63.2%
Uppercase Letter
ValueCountFrequency (%)
C 7
16.7%
S 5
11.9%
T 4
9.5%
R 3
 
7.1%
N 3
 
7.1%
M 3
 
7.1%
K 3
 
7.1%
L 2
 
4.8%
E 2
 
4.8%
I 2
 
4.8%
Other values (7) 8
19.0%
Decimal Number
ValueCountFrequency (%)
2 22
37.9%
0 12
20.7%
1 11
19.0%
3 7
 
12.1%
4 3
 
5.2%
9 1
 
1.7%
8 1
 
1.7%
7 1
 
1.7%
Lowercase Letter
ValueCountFrequency (%)
o 3
21.4%
a 3
21.4%
t 2
14.3%
d 2
14.3%
g 1
 
7.1%
n 1
 
7.1%
e 1
 
7.1%
r 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 16
69.6%
: 3
 
13.0%
, 2
 
8.7%
& 2
 
8.7%
Close Punctuation
ValueCountFrequency (%)
) 35
89.7%
] 4
 
10.3%
Open Punctuation
ValueCountFrequency (%)
( 35
89.7%
[ 4
 
10.3%
Other Symbol
ValueCountFrequency (%)
94
100.0%
Space Separator
ValueCountFrequency (%)
73
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2422
89.1%
Common 239
 
8.8%
Latin 56
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
149
 
6.2%
142
 
5.9%
121
 
5.0%
120
 
5.0%
94
 
3.9%
76
 
3.1%
74
 
3.1%
51
 
2.1%
43
 
1.8%
41
 
1.7%
Other values (260) 1511
62.4%
Latin
ValueCountFrequency (%)
C 7
 
12.5%
S 5
 
8.9%
T 4
 
7.1%
R 3
 
5.4%
o 3
 
5.4%
a 3
 
5.4%
N 3
 
5.4%
M 3
 
5.4%
K 3
 
5.4%
L 2
 
3.6%
Other values (15) 20
35.7%
Common
ValueCountFrequency (%)
73
30.5%
) 35
14.6%
( 35
14.6%
2 22
 
9.2%
. 16
 
6.7%
0 12
 
5.0%
1 11
 
4.6%
3 7
 
2.9%
[ 4
 
1.7%
] 4
 
1.7%
Other values (9) 20
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2328
85.7%
ASCII 295
 
10.9%
None 94
 
3.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
149
 
6.4%
142
 
6.1%
121
 
5.2%
120
 
5.2%
76
 
3.3%
74
 
3.2%
51
 
2.2%
43
 
1.8%
41
 
1.8%
39
 
1.7%
Other values (259) 1472
63.2%
None
ValueCountFrequency (%)
94
100.0%
ASCII
ValueCountFrequency (%)
73
24.7%
) 35
11.9%
( 35
11.9%
2 22
 
7.5%
. 16
 
5.4%
0 12
 
4.1%
1 11
 
3.7%
C 7
 
2.4%
3 7
 
2.4%
S 5
 
1.7%
Other values (34) 72
24.4%
Distinct304
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-03-15T00:45:06.330681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length37
Mean length21.512739
Min length13

Characters and Unicode

Total characters6755
Distinct characters188
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique295 ?
Unique (%)93.9%

Sample

1st row경기도 평택시 포승읍 평택항로268번길 165
2nd row경기도 평택시 청북읍 청원로 157-23
3rd row경기도 평택시 포승읍 평택항로314
4th row경기도 평택시 포승읍 포승공단순환로602
5th row경기도 평택시 청북읍 서해로1985
ValueCountFrequency (%)
평택시 316
24.4%
경기도 314
24.3%
청북읍 76
 
5.9%
포승읍 68
 
5.3%
진위면 18
 
1.4%
오성면 16
 
1.2%
서탄면 14
 
1.1%
팽성읍 13
 
1.0%
고덕면 7
 
0.5%
청북중앙로 5
 
0.4%
Other values (399) 446
34.5%
2024-03-15T00:45:07.808565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
979
 
14.5%
368
 
5.4%
362
 
5.4%
322
 
4.8%
322
 
4.8%
321
 
4.8%
319
 
4.7%
1 314
 
4.6%
237
 
3.5%
161
 
2.4%
Other values (178) 3050
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4261
63.1%
Decimal Number 1275
 
18.9%
Space Separator 979
 
14.5%
Dash Punctuation 84
 
1.2%
Other Punctuation 55
 
0.8%
Close Punctuation 48
 
0.7%
Open Punctuation 48
 
0.7%
Uppercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
368
 
8.6%
362
 
8.5%
322
 
7.6%
322
 
7.6%
321
 
7.5%
319
 
7.5%
237
 
5.6%
161
 
3.8%
140
 
3.3%
118
 
2.8%
Other values (157) 1591
37.3%
Decimal Number
ValueCountFrequency (%)
1 314
24.6%
2 156
12.2%
4 131
10.3%
5 130
10.2%
6 119
 
9.3%
3 110
 
8.6%
8 89
 
7.0%
0 86
 
6.7%
7 77
 
6.0%
9 63
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 51
92.7%
: 3
 
5.5%
/ 1
 
1.8%
Close Punctuation
ValueCountFrequency (%)
) 47
97.9%
] 1
 
2.1%
Open Punctuation
ValueCountFrequency (%)
( 47
97.9%
[ 1
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
A 3
60.0%
B 2
40.0%
Space Separator
ValueCountFrequency (%)
979
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4261
63.1%
Common 2489
36.8%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
368
 
8.6%
362
 
8.5%
322
 
7.6%
322
 
7.6%
321
 
7.5%
319
 
7.5%
237
 
5.6%
161
 
3.8%
140
 
3.3%
118
 
2.8%
Other values (157) 1591
37.3%
Common
ValueCountFrequency (%)
979
39.3%
1 314
 
12.6%
2 156
 
6.3%
4 131
 
5.3%
5 130
 
5.2%
6 119
 
4.8%
3 110
 
4.4%
8 89
 
3.6%
0 86
 
3.5%
- 84
 
3.4%
Other values (9) 291
 
11.7%
Latin
ValueCountFrequency (%)
A 3
60.0%
B 2
40.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4261
63.1%
ASCII 2494
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
979
39.3%
1 314
 
12.6%
2 156
 
6.3%
4 131
 
5.3%
5 130
 
5.2%
6 119
 
4.8%
3 110
 
4.4%
8 89
 
3.6%
0 86
 
3.4%
- 84
 
3.4%
Other values (11) 296
 
11.9%
Hangul
ValueCountFrequency (%)
368
 
8.6%
362
 
8.5%
322
 
7.6%
322
 
7.6%
321
 
7.5%
319
 
7.5%
237
 
5.6%
161
 
3.8%
140
 
3.3%
118
 
2.8%
Other values (157) 1591
37.3%

소재지지번주소
Text

MISSING 

Distinct283
Distinct (%)95.0%
Missing16
Missing (%)5.1%
Memory size2.6 KiB
2024-03-15T00:45:08.885477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length35
Mean length21.889262
Min length14

Characters and Unicode

Total characters6523
Distinct characters154
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

Unique269 ?
Unique (%)90.3%

Sample

1st row경기도 평택시 포승읍 도곡리 1216-1번지
2nd row경기도 평택시 청북읍 토진리 78-5
3rd row경기도 평택시 포승읍 원정리 1173-1번지
4th row경기도 평택시 포승읍 원정리 1204-4번지
5th row경기도 평택시 청북읍 고렴리 660-3번지
ValueCountFrequency (%)
경기도 298
20.7%
평택시 298
20.7%
청북읍 72
 
5.0%
포승읍 65
 
4.5%
모곡동 22
 
1.5%
원정리 20
 
1.4%
진위면 18
 
1.3%
현곡리 17
 
1.2%
고잔리 16
 
1.1%
오성면 16
 
1.1%
Other values (384) 597
41.5%
2024-03-15T00:45:10.689094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1141
 
17.5%
313
 
4.8%
307
 
4.7%
301
 
4.6%
301
 
4.6%
298
 
4.6%
298
 
4.6%
241
 
3.7%
234
 
3.6%
1 234
 
3.6%
Other values (144) 2855
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3890
59.6%
Decimal Number 1251
 
19.2%
Space Separator 1141
 
17.5%
Dash Punctuation 233
 
3.6%
Uppercase Letter 3
 
< 0.1%
Other Punctuation 2
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
313
 
8.0%
307
 
7.9%
301
 
7.7%
301
 
7.7%
298
 
7.7%
298
 
7.7%
241
 
6.2%
234
 
6.0%
214
 
5.5%
156
 
4.0%
Other values (126) 1227
31.5%
Decimal Number
ValueCountFrequency (%)
1 234
18.7%
2 162
12.9%
3 145
11.6%
4 129
10.3%
5 112
9.0%
6 110
8.8%
7 104
8.3%
0 100
8.0%
9 81
 
6.5%
8 74
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
/ 1
50.0%
Space Separator
ValueCountFrequency (%)
1141
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 233
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3890
59.6%
Common 2629
40.3%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
313
 
8.0%
307
 
7.9%
301
 
7.7%
301
 
7.7%
298
 
7.7%
298
 
7.7%
241
 
6.2%
234
 
6.0%
214
 
5.5%
156
 
4.0%
Other values (126) 1227
31.5%
Common
ValueCountFrequency (%)
1141
43.4%
1 234
 
8.9%
- 233
 
8.9%
2 162
 
6.2%
3 145
 
5.5%
4 129
 
4.9%
5 112
 
4.3%
6 110
 
4.2%
7 104
 
4.0%
0 100
 
3.8%
Other values (6) 159
 
6.0%
Latin
ValueCountFrequency (%)
A 3
75.0%
b 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3890
59.6%
ASCII 2633
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1141
43.3%
1 234
 
8.9%
- 233
 
8.8%
2 162
 
6.2%
3 145
 
5.5%
4 129
 
4.9%
5 112
 
4.3%
6 110
 
4.2%
7 104
 
3.9%
0 100
 
3.8%
Other values (8) 163
 
6.2%
Hangul
ValueCountFrequency (%)
313
 
8.0%
307
 
7.9%
301
 
7.7%
301
 
7.7%
298
 
7.7%
298
 
7.7%
241
 
6.2%
234
 
6.0%
214
 
5.5%
156
 
4.0%
Other values (126) 1227
31.5%

업종명
Categorical

Distinct17
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
사용업
120 
알선판매업
90 
사용업, 제조업
25 
보관저장업
21 
판매업
 
12
Other values (12)
46 

Length

Max length15
Median length13
Mean length4.8312102
Min length3

Unique

Unique5 ?
Unique (%)1.6%

Sample

1st row사용업
2nd row사용업, 판매업
3rd row사용업
4th row사용업
5th row알선판매업

Common Values

ValueCountFrequency (%)
사용업 120
38.2%
알선판매업 90
28.7%
사용업, 제조업 25
 
8.0%
보관저장업 21
 
6.7%
판매업 12
 
3.8%
운반업 11
 
3.5%
사용업, 제조업, 판매업 8
 
2.5%
사용업, 알선판매업 8
 
2.5%
제조업 6
 
1.9%
제조업, 판매업 4
 
1.3%
Other values (7) 9
 
2.9%

Length

2024-03-15T00:45:11.143662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사용업 166
43.8%
알선판매업 101
26.6%
제조업 48
 
12.7%
판매업 28
 
7.4%
보관저장업 24
 
6.3%
운반업 12
 
3.2%

위도
Real number (ℝ)

Distinct297
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.02662
Minimum36.935
Maximum37.13316
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-03-15T00:45:11.664234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.935
5-th percentile36.961464
Q136.986548
median37.027235
Q337.054155
95-th percentile37.112601
Maximum37.13316
Range0.19816
Interquartile range (IQR)0.0676075

Descriptive statistics

Standard deviation0.044504533
Coefficient of variation (CV)0.0012019605
Kurtosis-0.45603409
Mean37.02662
Median Absolute Deviation (MAD)0.033395
Skewness0.39480986
Sum11626.359
Variance0.0019806535
MonotonicityNot monotonic
2024-03-15T00:45:12.171352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.05221 4
 
1.3%
36.98065 3
 
1.0%
37.01925 3
 
1.0%
37.06313 3
 
1.0%
37.048 3
 
1.0%
36.98145 2
 
0.6%
36.97573 2
 
0.6%
36.97309 2
 
0.6%
37.00775 2
 
0.6%
36.97197 2
 
0.6%
Other values (287) 288
91.7%
ValueCountFrequency (%)
36.935 1
0.3%
36.94472 1
0.3%
36.95318 1
0.3%
36.95473 1
0.3%
36.95548 1
0.3%
36.95579 1
0.3%
36.95582 1
0.3%
36.95585 1
0.3%
36.95637 1
0.3%
36.95661 1
0.3%
ValueCountFrequency (%)
37.13316 1
0.3%
37.13187 1
0.3%
37.13108 1
0.3%
37.13074 1
0.3%
37.12855 1
0.3%
37.12854 1
0.3%
37.12549 1
0.3%
37.1241 1
0.3%
37.1238 1
0.3%
37.12189 1
0.3%

경도
Real number (ℝ)

Distinct267
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.9787
Minimum126.7982
Maximum127.1337
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-03-15T00:45:12.705523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.7982
5-th percentile126.83743
Q1126.89697
median126.9742
Q3127.07368
95-th percentile127.09607
Maximum127.1337
Range0.3355
Interquartile range (IQR)0.1767

Descriptive statistics

Standard deviation0.094303709
Coefficient of variation (CV)0.00074267344
Kurtosis-1.3771062
Mean126.9787
Median Absolute Deviation (MAD)0.0949
Skewness-0.21529186
Sum39871.312
Variance0.0088931895
MonotonicityNot monotonic
2024-03-15T00:45:13.230929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9462 4
 
1.3%
126.9801 3
 
1.0%
127.0779 3
 
1.0%
126.8972 3
 
1.0%
126.9502 3
 
1.0%
127.1095 2
 
0.6%
126.8399 2
 
0.6%
126.9344 2
 
0.6%
126.9284 2
 
0.6%
126.9698 2
 
0.6%
Other values (257) 288
91.7%
ValueCountFrequency (%)
126.7982 2
0.6%
126.8 1
0.3%
126.8043 1
0.3%
126.8313 1
0.3%
126.8319 1
0.3%
126.8328 1
0.3%
126.8333 1
0.3%
126.8334 1
0.3%
126.835 1
0.3%
126.8357 1
0.3%
ValueCountFrequency (%)
127.1337 1
0.3%
127.1228 1
0.3%
127.1157 1
0.3%
127.1136 1
0.3%
127.1133 1
0.3%
127.1108 2
0.6%
127.1096 1
0.3%
127.1095 2
0.6%
127.1059 1
0.3%
127.1041 1
0.3%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum2024-02-16 00:00:00
Maximum2024-02-16 00:00:00
2024-03-15T00:45:13.895248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:45:14.236428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-15T00:45:01.272853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:45:00.720395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:45:01.572497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:45:00.993078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T00:45:14.471997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명위도경도
업종명1.0000.0000.280
위도0.0001.0000.815
경도0.2800.8151.000
2024-03-15T00:45:14.724931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도업종명
위도1.0000.3120.000
경도0.3121.0000.111
업종명0.0000.1111.000

Missing values

2024-03-15T00:45:01.937828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T00:45:02.375226image/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

시군명업체명소재지도로명주소소재지지번주소업종명위도경도데이터기준일
0평택시(주)한탑경기도 평택시 포승읍 평택항로268번길 165경기도 평택시 포승읍 도곡리 1216-1번지사용업37.04301126.95022024-02-16
1평택시주식회사 유라코퍼레이션 청북경기도 평택시 청북읍 청원로 157-23경기도 평택시 청북읍 토진리 78-5사용업, 판매업37.04316126.95022024-02-16
2평택시(주)노루페인트포승공장경기도 평택시 포승읍 평택항로314경기도 평택시 포승읍 원정리 1173-1번지사용업36.98589126.83572024-02-16
3평택시(주)뉴그린경기도 평택시 포승읍 포승공단순환로602경기도 평택시 포승읍 원정리 1204-4번지사용업36.98675126.83332024-02-16
4평택시(주)대동양행경기도 평택시 청북읍 서해로1985경기도 평택시 청북읍 고렴리 660-3번지알선판매업37.06289126.91832024-02-16
5평택시(주)덕천물류경기도 평택시 오성면 양교길246경기도 평택시 오성면 양교리 738-7번지보관저장업37.01925126.95822024-02-16
6평택시(주)린켐코리아경기도 평택시 청북읍 원한산길143경기도 평택시 청북읍 어연리 778-3번지보관저장업, 운반업37.04249126.97392024-02-16
7평택시(주)세우인코퍼레이션경기도 평택시 서탄면 내천길115경기도 평택시 서탄면 수월암리 1279-1알선판매업37.1238127.01622024-02-16
8평택시(주)씨에스피경기도 평택시 진위면 마산6로57경기도 평택시 진위면 마산리 산14-1알선판매업37.08838127.09252024-02-16
9평택시(주)영진하이텍경기도 평택시 청북읍 청북중앙로459-5경기도 평택시 청북읍 고잔리 631-9번지사용업, 제조업37.04952126.89112024-02-16
시군명업체명소재지도로명주소소재지지번주소업종명위도경도데이터기준일
304평택시한온시스템㈜경기도 평택시 포승읍 하만호길32-1경기도 평택시 포승읍 만호리 338-2번지사용업36.9568126.8532024-02-16
305평택시한화이센셜 주식회사경기도 평택시 포승읍 평택항로268번길142경기도 평택시 포승읍 도곡리 1209-3사용업36.98487126.85082024-02-16
306평택시현대상사경기도 평택시 서정남로144경기도 평택시 서정동 222번지알선판매업37.06045127.05532024-02-16
307평택시형제상사경기도 평택시 평택로180(세교동,1층105호)경기도 평택시 세교동 180-6번지 1층 105호알선판매업37.00105127.0782024-02-16
308평택시혜솔 주식회사경기도 평택시 서탄면 마두1길170-20경기도 평택시 서탄면 마두리 21-13번지알선판매업37.11121127.022024-02-16
309평택시홍성상사경기도 평택시 포승읍 평택항로184번길24(가동102호103호)경기도 평택시 포승읍 만호리 576-1번지 (가동102호103호)알선판매업36.97573126.84482024-02-16
310평택시홍원제지경기도 평택시 진위면 진위서로23경기도 평택시 진위면 하북리 37번지사용업37.10966127.06582024-02-16
311평택시화승상사경기도 평택시 지산로 246(지산동)경기도 평택시 지산동 228-24번지알선판매업37.07502127.08732024-02-16
312평택시화인플라텍 주식회사경기도 평택시 청북읍 청북산단로 84경기도 평택시 청북읍 어연리 899-1번지사용업37.05396126.97892024-02-16
313평택시후니산업경기도 평택시 포승읍 포승장안로 321경기도 평택시 포승읍 포승장안로 321알선판매업37.01137126.88742024-02-16