Overview

Dataset statistics

Number of variables7
Number of observations441
Missing cells3
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.5 KiB
Average record size in memory59.3 B

Variable types

Numeric3
Text4

Dataset

Description충청남도 정보통신공사업체 현황에 대한 데이터로 상호명, 등록번호, 대표자, 연락처, 영업소재지 등의 등록현황을 제공합니다.
URLhttps://www.data.go.kr/data/15005396/fileData.do

Alerts

순번 is highly overall correlated with 등록번호High correlation
등록번호 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:42:50.972391
Analysis finished2023-12-12 08:42:52.509196
Duration1.54 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct441
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean221
Minimum1
Maximum441
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2023-12-12T17:42:52.605261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile23
Q1111
median221
Q3331
95-th percentile419
Maximum441
Range440
Interquartile range (IQR)220

Descriptive statistics

Standard deviation127.44999
Coefficient of variation (CV)0.57669679
Kurtosis-1.2
Mean221
Median Absolute Deviation (MAD)110
Skewness0
Sum97461
Variance16243.5
MonotonicityStrictly increasing
2023-12-12T17:42:52.763218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
291 1
 
0.2%
302 1
 
0.2%
301 1
 
0.2%
300 1
 
0.2%
299 1
 
0.2%
298 1
 
0.2%
297 1
 
0.2%
296 1
 
0.2%
295 1
 
0.2%
Other values (431) 431
97.7%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
441 1
0.2%
440 1
0.2%
439 1
0.2%
438 1
0.2%
437 1
0.2%
436 1
0.2%
435 1
0.2%
434 1
0.2%
433 1
0.2%
432 1
0.2%

등록번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct441
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean336219.37
Minimum110071
Maximum630286
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2023-12-12T17:42:53.276397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110071
5-th percentile130017
Q1201321
median410135
Q3410288
95-th percentile420333
Maximum630286
Range520215
Interquartile range (IQR)208967

Descriptive statistics

Standard deviation128025.71
Coefficient of variation (CV)0.38078029
Kurtosis-0.8343816
Mean336219.37
Median Absolute Deviation (MAD)191
Skewness-0.74762401
Sum1.4827274 × 108
Variance1.6390583 × 1010
MonotonicityNot monotonic
2023-12-12T17:42:53.537888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
410374 1
 
0.2%
200801 1
 
0.2%
410047 1
 
0.2%
410048 1
 
0.2%
510107 1
 
0.2%
410049 1
 
0.2%
420090 1
 
0.2%
410051 1
 
0.2%
200738 1
 
0.2%
410052 1
 
0.2%
Other values (431) 431
97.7%
ValueCountFrequency (%)
110071 1
0.2%
110399 1
0.2%
110519 1
0.2%
110562 1
0.2%
111026 1
0.2%
111177 1
0.2%
111207 1
0.2%
111363 1
0.2%
111687 1
0.2%
112178 1
0.2%
ValueCountFrequency (%)
630286 1
0.2%
630111 1
0.2%
620066 1
0.2%
610070 1
0.2%
550164 1
0.2%
550094 1
0.2%
550028 1
0.2%
540082 1
0.2%
530216 1
0.2%
530154 1
0.2%

상호
Text

Distinct437
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2023-12-12T17:42:53.920711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length23
Mean length8.7165533
Min length2

Characters and Unicode

Total characters3844
Distinct characters287
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

Unique433 ?
Unique (%)98.2%

Sample

1st row사회적협동조합 나눔애
2nd row주식회사 화신코리아
3rd row디엑스정보통신 주식회사
4th row주식회사 대경이엔지
5th row주식회사 근남
ValueCountFrequency (%)
주식회사 134
 
22.7%
주)씨엠 2
 
0.3%
주)아이티에스 2
 
0.3%
뉴아이티 2
 
0.3%
주 2
 
0.3%
사단법인 2
 
0.3%
대한전기 2
 
0.3%
주)한국전기 2
 
0.3%
주)지성정보통신 2
 
0.3%
나눔애 1
 
0.2%
Other values (439) 439
74.4%
2023-12-12T17:42:54.502972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 406
 
10.6%
( 279
 
7.3%
) 279
 
7.3%
사 159
 
4.1%
149
 
3.9%
회 144
 
3.7%
식 139
 
3.6%
이 133
 
3.5%
신 124
 
3.2%
통 110
 
2.9%
Other values (277) 1922
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3056
79.5%
Open Punctuation 279
 
7.3%
Close Punctuation 279
 
7.3%
Space Separator 149
 
3.9%
Uppercase Letter 41
 
1.1%
Lowercase Letter 31
 
0.8%
Other Punctuation 8
 
0.2%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 406
 
13.3%
사 159
 
5.2%
회 144
 
4.7%
식 139
 
4.5%
이 133
 
4.4%
신 124
 
4.1%
통 110
 
3.6%
보 95
 
3.1%
정 93
 
3.0%
스 77
 
2.5%
Other values (239) 1576
51.6%
Uppercase Letter
ValueCountFrequency (%)
C 7
17.1%
L 5
12.2%
A 5
12.2%
I 4
9.8%
O 3
 
7.3%
V 2
 
4.9%
S 2
 
4.9%
T 2
 
4.9%
K 2
 
4.9%
E 1
 
2.4%
Other values (8) 8
19.5%
Lowercase Letter
ValueCountFrequency (%)
t 5
16.1%
n 4
12.9%
e 4
12.9%
d 3
9.7%
s 2
 
6.5%
o 2
 
6.5%
a 2
 
6.5%
r 2
 
6.5%
c 2
 
6.5%
i 1
 
3.2%
Other values (4) 4
12.9%
Other Punctuation
ValueCountFrequency (%)
. 5
62.5%
, 3
37.5%
Open Punctuation
ValueCountFrequency (%)
( 279
100.0%
Close Punctuation
ValueCountFrequency (%)
) 279
100.0%
Space Separator
ValueCountFrequency (%)
149
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3056
79.5%
Common 716
 
18.6%
Latin 72
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 406
 
13.3%
사 159
 
5.2%
회 144
 
4.7%
식 139
 
4.5%
이 133
 
4.4%
신 124
 
4.1%
통 110
 
3.6%
보 95
 
3.1%
정 93
 
3.0%
스 77
 
2.5%
Other values (239) 1576
51.6%
Latin
ValueCountFrequency (%)
C 7
 
9.7%
L 5
 
6.9%
t 5
 
6.9%
A 5
 
6.9%
n 4
 
5.6%
I 4
 
5.6%
e 4
 
5.6%
O 3
 
4.2%
d 3
 
4.2%
s 2
 
2.8%
Other values (22) 30
41.7%
Common
ValueCountFrequency (%)
( 279
39.0%
) 279
39.0%
149
20.8%
. 5
 
0.7%
, 3
 
0.4%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3056
79.5%
ASCII 788
 
20.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 406
 
13.3%
사 159
 
5.2%
회 144
 
4.7%
식 139
 
4.5%
이 133
 
4.4%
신 124
 
4.1%
통 110
 
3.6%
보 95
 
3.1%
정 93
 
3.0%
스 77
 
2.5%
Other values (239) 1576
51.6%
ASCII
ValueCountFrequency (%)
( 279
35.4%
) 279
35.4%
149
18.9%
C 7
 
0.9%
L 5
 
0.6%
t 5
 
0.6%
. 5
 
0.6%
A 5
 
0.6%
n 4
 
0.5%
I 4
 
0.5%
Other values (28) 46
 
5.8%

대표자
Text

Distinct435
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2023-12-12T17:42:54.981383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9863946
Min length2

Characters and Unicode

Total characters1317
Distinct characters173
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique429 ?
Unique (%)97.3%

Sample

1st row이수현
2nd row유승진
3rd row편지영
4th row박영주
5th row김남두
ValueCountFrequency (%)
유경 2
 
0.5%
김대환 2
 
0.5%
이대우 2
 
0.5%
김미경 2
 
0.5%
이은정 2
 
0.5%
박미숙 2
 
0.5%
손성민 1
 
0.2%
곽한용 1
 
0.2%
남기훈 1
 
0.2%
조백순 1
 
0.2%
Other values (425) 425
96.4%
2023-12-12T17:42:55.680864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 86
 
6.5%
이 61
 
4.6%
정 46
 
3.5%
영 39
 
3.0%
박 37
 
2.8%
성 30
 
2.3%
희 27
 
2.1%
현 25
 
1.9%
경 24
 
1.8%
호 24
 
1.8%
Other values (163) 918
69.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1317
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 86
 
6.5%
이 61
 
4.6%
정 46
 
3.5%
영 39
 
3.0%
박 37
 
2.8%
성 30
 
2.3%
희 27
 
2.1%
현 25
 
1.9%
경 24
 
1.8%
호 24
 
1.8%
Other values (163) 918
69.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1317
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 86
 
6.5%
이 61
 
4.6%
정 46
 
3.5%
영 39
 
3.0%
박 37
 
2.8%
성 30
 
2.3%
희 27
 
2.1%
현 25
 
1.9%
경 24
 
1.8%
호 24
 
1.8%
Other values (163) 918
69.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1317
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 86
 
6.5%
이 61
 
4.6%
정 46
 
3.5%
영 39
 
3.0%
박 37
 
2.8%
성 30
 
2.3%
희 27
 
2.1%
현 25
 
1.9%
경 24
 
1.8%
호 24
 
1.8%
Other values (163) 918
69.7%

전화번호
Text

Distinct428
Distinct (%)97.7%
Missing3
Missing (%)0.7%
Memory size3.6 KiB
2023-12-12T17:42:56.054745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.068493
Min length9

Characters and Unicode

Total characters5286
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique419 ?
Unique (%)95.7%

Sample

1st row041-402-7758
2nd row041-589-0400
3rd row041-733-1394
4th row041-534-0255
5th row02-2758-7111
ValueCountFrequency (%)
041-356-5118 3
 
0.7%
041-588-7888 2
 
0.5%
041-935-7388 2
 
0.5%
041-631-8794 2
 
0.5%
041-675-2408 2
 
0.5%
041-742-9583 2
 
0.5%
041-934-5352 2
 
0.5%
041-667-5448 2
 
0.5%
041-331-1234 2
 
0.5%
041-620-3202 1
 
0.2%
Other values (418) 418
95.4%
2023-12-12T17:42:56.627256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 875
16.6%
0 819
15.5%
4 688
13.0%
1 659
12.5%
5 446
8.4%
3 392
7.4%
7 304
 
5.8%
6 301
 
5.7%
2 289
 
5.5%
8 287
 
5.4%
Other values (2) 226
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4410
83.4%
Dash Punctuation 875
 
16.6%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 819
18.6%
4 688
15.6%
1 659
14.9%
5 446
10.1%
3 392
8.9%
7 304
 
6.9%
6 301
 
6.8%
2 289
 
6.6%
8 287
 
6.5%
9 225
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 875
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5286
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 875
16.6%
0 819
15.5%
4 688
13.0%
1 659
12.5%
5 446
8.4%
3 392
7.4%
7 304
 
5.8%
6 301
 
5.7%
2 289
 
5.5%
8 287
 
5.4%
Other values (2) 226
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5286
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 875
16.6%
0 819
15.5%
4 688
13.0%
1 659
12.5%
5 446
8.4%
3 392
7.4%
7 304
 
5.8%
6 301
 
5.7%
2 289
 
5.5%
8 287
 
5.4%
Other values (2) 226
 
4.3%

우편번호
Real number (ℝ)

Distinct289
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34940.707
Minimum31006
Maximum357903
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2023-12-12T17:42:56.845342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum31006
5-th percentile31094
Q131415
median32142
Q332715
95-th percentile33491
Maximum357903
Range326897
Interquartile range (IQR)1300

Descriptive statistics

Standard deviation29461.027
Coefficient of variation (CV)0.84317201
Kurtosis107.13184
Mean34940.707
Median Absolute Deviation (MAD)683
Skewness10.409883
Sum15408852
Variance8.6795209 × 108
MonotonicityNot monotonic
2023-12-12T17:42:56.993838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32144 9
 
2.0%
31094 8
 
1.8%
31177 6
 
1.4%
32146 6
 
1.4%
32621 6
 
1.4%
31155 5
 
1.1%
31208 5
 
1.1%
33418 5
 
1.1%
32010 4
 
0.9%
31765 4
 
0.9%
Other values (279) 383
86.8%
ValueCountFrequency (%)
31006 1
0.2%
31027 1
0.2%
31035 1
0.2%
31038 2
0.5%
31039 1
0.2%
31042 2
0.5%
31068 2
0.5%
31074 2
0.5%
31075 2
0.5%
31076 2
0.5%
ValueCountFrequency (%)
357903 1
0.2%
345870 1
0.2%
343903 1
0.2%
320823 1
0.2%
33658 1
0.2%
33647 2
0.5%
33644 1
0.2%
33642 1
0.2%
33640 1
0.2%
33637 2
0.5%

주소
Text

Distinct435
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2023-12-12T17:42:57.425903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length42
Mean length25.630385
Min length13

Characters and Unicode

Total characters11303
Distinct characters303
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

Unique429 ?
Unique (%)97.3%

Sample

1st row충청남도 보령시 주교면 토정로 1032, 2층 203호
2nd row충청남도 천안시 서북구 입장면 연곡길 172-32
3rd row충청남도 논산시 체육로 101, 비동 101호 (취암동)
4th row충청남도 아산시 신인남길 36-16, 2동 2층 (초사동)
5th row충청남도 천안시 서북구 성환읍 천안대로 2334
ValueCountFrequency (%)
충남 300
 
11.6%
충청남도 141
 
5.4%
천안시 102
 
3.9%
95
 
3.7%
동남구 53
 
2.0%
아산시 52
 
2.0%
서북구 49
 
1.9%
보령시 43
 
1.7%
공주시 40
 
1.5%
당진시 34
 
1.3%
Other values (935) 1679
64.9%
2023-12-12T17:42:58.026377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2147
 
19.0%
남 528
 
4.7%
충 464
 
4.1%
1 438
 
3.9%
시 350
 
3.1%
동 301
 
2.7%
2 298
 
2.6%
로 273
 
2.4%
3 240
 
2.1%
, 226
 
2.0%
Other values (293) 6038
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6427
56.9%
Space Separator 2147
 
19.0%
Decimal Number 1938
 
17.1%
Other Punctuation 226
 
2.0%
Close Punctuation 209
 
1.8%
Open Punctuation 209
 
1.8%
Dash Punctuation 139
 
1.2%
Uppercase Letter 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 528
 
8.2%
충 464
 
7.2%
시 350
 
5.4%
동 301
 
4.7%
로 273
 
4.2%
산 217
 
3.4%
길 216
 
3.4%
청 188
 
2.9%
천 177
 
2.8%
안 175
 
2.7%
Other values (273) 3538
55.0%
Decimal Number
ValueCountFrequency (%)
1 438
22.6%
2 298
15.4%
3 240
12.4%
0 204
10.5%
4 175
 
9.0%
6 135
 
7.0%
7 133
 
6.9%
5 132
 
6.8%
8 100
 
5.2%
9 83
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
K 2
25.0%
T 2
25.0%
M 2
25.0%
C 1
12.5%
A 1
12.5%
Space Separator
ValueCountFrequency (%)
2147
100.0%
Other Punctuation
ValueCountFrequency (%)
, 226
100.0%
Close Punctuation
ValueCountFrequency (%)
) 209
100.0%
Open Punctuation
ValueCountFrequency (%)
( 209
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 139
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6427
56.9%
Common 4868
43.1%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 528
 
8.2%
충 464
 
7.2%
시 350
 
5.4%
동 301
 
4.7%
로 273
 
4.2%
산 217
 
3.4%
길 216
 
3.4%
청 188
 
2.9%
천 177
 
2.8%
안 175
 
2.7%
Other values (273) 3538
55.0%
Common
ValueCountFrequency (%)
2147
44.1%
1 438
 
9.0%
2 298
 
6.1%
3 240
 
4.9%
, 226
 
4.6%
) 209
 
4.3%
( 209
 
4.3%
0 204
 
4.2%
4 175
 
3.6%
- 139
 
2.9%
Other values (5) 583
 
12.0%
Latin
ValueCountFrequency (%)
K 2
25.0%
T 2
25.0%
M 2
25.0%
C 1
12.5%
A 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6427
56.9%
ASCII 4876
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2147
44.0%
1 438
 
9.0%
2 298
 
6.1%
3 240
 
4.9%
, 226
 
4.6%
) 209
 
4.3%
( 209
 
4.3%
0 204
 
4.2%
4 175
 
3.6%
- 139
 
2.9%
Other values (10) 591
 
12.1%
Hangul
ValueCountFrequency (%)
남 528
 
8.2%
충 464
 
7.2%
시 350
 
5.4%
동 301
 
4.7%
로 273
 
4.2%
산 217
 
3.4%
길 216
 
3.4%
청 188
 
2.9%
천 177
 
2.8%
안 175
 
2.7%
Other values (273) 3538
55.0%

Interactions

2023-12-12T17:42:52.057809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:42:51.455776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:42:51.729473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:42:52.128733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:42:51.540683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:42:51.839841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:42:52.209058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:42:51.629663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:42:51.970284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:42:58.154759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번등록번호우편번호
순번1.0000.6030.000
등록번호0.6031.0000.000
우편번호0.0000.0001.000
2023-12-12T17:42:58.294287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번등록번호우편번호
순번1.000-0.8100.113
등록번호-0.8101.000-0.062
우편번호0.113-0.0621.000

Missing values

2023-12-12T17:42:52.344254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:42:52.463971image/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

순번등록번호상호대표자전화번호우편번호주소
01410374사회적협동조합 나눔애이수현041-402-775833409충청남도 보령시 주교면 토정로 1032, 2층 203호
12410373주식회사 화신코리아유승진041-589-040031027충청남도 천안시 서북구 입장면 연곡길 172-32
23410372디엑스정보통신 주식회사편지영041-733-139432984충청남도 논산시 체육로 101, 비동 101호 (취암동)
34410371주식회사 대경이엔지박영주041-534-025531559충청남도 아산시 신인남길 36-16, 2동 2층 (초사동)
45410370주식회사 근남김남두02-2758-711131006충청남도 천안시 서북구 성환읍 천안대로 2334
56410369주식회사 도하미디어텍신일순041-531-192331568충청남도 아산시 시민로234번길 4-11, 상가동 1층(용화동)
67410367이엔아이백제민041-920-887632010충청남도 서산시 수석산업로 138, C동(수석동)
78410368주식회사 대현시스템김용석041-332-809032440충청남도 예산군 예산읍 예산로 98
89410366주식회사 발맥스기술(VALMAX Co.,Ltd)박동열031-478-402031408충청남도 아산시 둔포면 아산밸리로387번길 10
910410365주식회사 신흥이앤씨최병석041-531-010231415충청남도 아산시 음봉면 음봉로447번길 35
순번등록번호상호대표자전화번호우편번호주소
431432130025일광전설(주)이성집041-523-711131215충남 천안시 동남구 풍세면 미죽로 370
432433130135(주)마이크로닉강범규042-551-350132827충청남도 계룡시 계룡대로 245, 반석빌딩 5층 503호 (금암동)
433434130201(주)에스엘티홍호기041-571-205731212충남 천안시 동남구 청당산업길 143 (구룡동)
434435130059(합)미래통신공사김영길041-532-600031513충남 아산시 시장길25번길 9, 지하1층, 3층(온천동)
435436130006(주)우주전기통신조성호041-632-218232280충남 홍성군 금마면 광금북로482번길 189
436437110071주식회사 시온종합건설조승규041-331-920032432충청남도 예산군 예산읍 벚꽃로 40-6, 101호
437438111363알에스전기통신(주)양홍철041-567-339931128충남 천안시 동남구 공설시장1길 2 , (대흥동)
438439110519경남기업(주)(Keangnam Enterprises,Ltd)박석준02-2210-056531519충남 아산시 청운로176번길 25 , 2층(권곡동)
439440130086(주)세기사정택철042-257-256632715충남 금산군 추부면 금산로 2290
440441130094(주)무한기술윤상인042-523-201032809충남 계룡시 엄사면 번영7길 9-4