Overview

Dataset statistics

Number of variables7
Number of observations366
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.9 KiB
Average record size in memory58.4 B

Variable types

Numeric2
Text5

Dataset

Description경남도내 정보통신공사업체 현황입니다. 등록번호, 상호, 전화번호,팩스번호, 주소등의 데이터를 포함하고있습니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3079166

Alerts

순번 has unique valuesUnique
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:48:29.743904
Analysis finished2023-12-10 23:48:30.756639
Duration1.01 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct366
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean183.5
Minimum1
Maximum366
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-11T08:48:30.845233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19.25
Q192.25
median183.5
Q3274.75
95-th percentile347.75
Maximum366
Range365
Interquartile range (IQR)182.5

Descriptive statistics

Standard deviation105.79934
Coefficient of variation (CV)0.57656315
Kurtosis-1.2
Mean183.5
Median Absolute Deviation (MAD)91.5
Skewness0
Sum67161
Variance11193.5
MonotonicityStrictly increasing
2023-12-11T08:48:31.014399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
253 1
 
0.3%
251 1
 
0.3%
250 1
 
0.3%
249 1
 
0.3%
248 1
 
0.3%
247 1
 
0.3%
246 1
 
0.3%
245 1
 
0.3%
244 1
 
0.3%
Other values (356) 356
97.3%
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 (%)
366 1
0.3%
365 1
0.3%
364 1
0.3%
363 1
0.3%
362 1
0.3%
361 1
0.3%
360 1
0.3%
359 1
0.3%
358 1
0.3%
357 1
0.3%

등록번호
Real number (ℝ)

UNIQUE 

Distinct366
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean375554.77
Minimum110136
Maximum550265
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-11T08:48:31.258234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110136
5-th percentile120102.25
Q1120550.75
median550025
Q3550158.75
95-th percentile550245.5
Maximum550265
Range440129
Interquartile range (IQR)429608

Descriptive statistics

Standard deviation206235.78
Coefficient of variation (CV)0.54914966
Kurtosis-1.8270056
Mean375554.77
Median Absolute Deviation (MAD)224
Skewness-0.3830864
Sum1.3745305 × 108
Variance4.2533196 × 1010
MonotonicityNot monotonic
2023-12-11T08:48:31.441580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
550260 1
 
0.3%
120040 1
 
0.3%
530102 1
 
0.3%
120698 1
 
0.3%
112869 1
 
0.3%
120507 1
 
0.3%
550018 1
 
0.3%
550168 1
 
0.3%
120317 1
 
0.3%
120267 1
 
0.3%
Other values (356) 356
97.3%
ValueCountFrequency (%)
110136 1
0.3%
110629 1
0.3%
110917 1
0.3%
111809 1
0.3%
112059 1
0.3%
112099 1
0.3%
112120 1
0.3%
112869 1
0.3%
112943 1
0.3%
113483 1
0.3%
ValueCountFrequency (%)
550265 1
0.3%
550264 1
0.3%
550263 1
0.3%
550262 1
0.3%
550261 1
0.3%
550260 1
0.3%
550259 1
0.3%
550258 1
0.3%
550257 1
0.3%
550256 1
0.3%

상호
Text

Distinct365
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-11T08:48:31.766703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length13
Mean length7.9480874
Min length2

Characters and Unicode

Total characters2909
Distinct characters237
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique364 ?
Unique (%)99.5%

Sample

1st row우리윈시스템 주식회사
2nd row(주)누리정보시스템
3rd row삼우네트워크(주)
4th row(주)삼성정보통신
5th row일성정보통신
ValueCountFrequency (%)
주식회사 41
 
10.0%
주)세진정보통신 2
 
0.5%
주)성민전력 1
 
0.2%
아이에스엘정보통신(주 1
 
0.2%
주)티아이에스 1
 
0.2%
stx엔진(주 1
 
0.2%
부성정보통신 1
 
0.2%
주)아이비즈 1
 
0.2%
주)대호아이앤티 1
 
0.2%
주)다해 1
 
0.2%
Other values (359) 359
87.6%
2023-12-11T08:48:32.277431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
303
 
10.4%
( 262
 
9.0%
) 262
 
9.0%
133
 
4.6%
118
 
4.1%
86
 
3.0%
85
 
2.9%
79
 
2.7%
63
 
2.2%
63
 
2.2%
Other values (227) 1455
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2311
79.4%
Open Punctuation 262
 
9.0%
Close Punctuation 262
 
9.0%
Space Separator 45
 
1.5%
Uppercase Letter 25
 
0.9%
Other Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
303
 
13.1%
133
 
5.8%
118
 
5.1%
86
 
3.7%
85
 
3.7%
79
 
3.4%
63
 
2.7%
63
 
2.7%
58
 
2.5%
49
 
2.1%
Other values (211) 1274
55.1%
Uppercase Letter
ValueCountFrequency (%)
H 3
12.0%
E 3
12.0%
T 3
12.0%
W 3
12.0%
S 2
8.0%
C 2
8.0%
I 2
8.0%
N 2
8.0%
A 2
8.0%
X 1
 
4.0%
Other values (2) 2
8.0%
Open Punctuation
ValueCountFrequency (%)
( 262
100.0%
Close Punctuation
ValueCountFrequency (%)
) 262
100.0%
Space Separator
ValueCountFrequency (%)
45
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2311
79.4%
Common 573
 
19.7%
Latin 25
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
303
 
13.1%
133
 
5.8%
118
 
5.1%
86
 
3.7%
85
 
3.7%
79
 
3.4%
63
 
2.7%
63
 
2.7%
58
 
2.5%
49
 
2.1%
Other values (211) 1274
55.1%
Latin
ValueCountFrequency (%)
H 3
12.0%
E 3
12.0%
T 3
12.0%
W 3
12.0%
S 2
8.0%
C 2
8.0%
I 2
8.0%
N 2
8.0%
A 2
8.0%
X 1
 
4.0%
Other values (2) 2
8.0%
Common
ValueCountFrequency (%)
( 262
45.7%
) 262
45.7%
45
 
7.9%
. 4
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2311
79.4%
ASCII 598
 
20.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
303
 
13.1%
133
 
5.8%
118
 
5.1%
86
 
3.7%
85
 
3.7%
79
 
3.4%
63
 
2.7%
63
 
2.7%
58
 
2.5%
49
 
2.1%
Other values (211) 1274
55.1%
ASCII
ValueCountFrequency (%)
( 262
43.8%
) 262
43.8%
45
 
7.5%
. 4
 
0.7%
H 3
 
0.5%
E 3
 
0.5%
T 3
 
0.5%
W 3
 
0.5%
S 2
 
0.3%
C 2
 
0.3%
Other values (6) 9
 
1.5%
Distinct364
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-11T08:48:32.682688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.1338798
Min length3

Characters and Unicode

Total characters1147
Distinct characters173
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique362 ?
Unique (%)98.9%

Sample

1st row황숙형
2nd row장재석
3rd row정형식
4th row정은경
5th row장길호
ValueCountFrequency (%)
이경자 2
 
0.5%
2
 
0.5%
김지영 2
 
0.5%
손기숙 1
 
0.3%
임광수 1
 
0.3%
이항수 1
 
0.3%
고성환 1
 
0.3%
이태기 1
 
0.3%
정윤혁 1
 
0.3%
김한준 1
 
0.3%
Other values (364) 364
96.6%
2023-12-11T08:48:33.195155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
76
 
6.6%
52
 
4.5%
49
 
4.3%
45
 
3.9%
42
 
3.7%
24
 
2.1%
22
 
1.9%
22
 
1.9%
19
 
1.7%
19
 
1.7%
Other values (163) 777
67.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1124
98.0%
Space Separator 12
 
1.0%
Other Punctuation 9
 
0.8%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
76
 
6.8%
52
 
4.6%
49
 
4.4%
45
 
4.0%
42
 
3.7%
24
 
2.1%
22
 
2.0%
22
 
2.0%
19
 
1.7%
19
 
1.7%
Other values (159) 754
67.1%
Space Separator
ValueCountFrequency (%)
12
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1124
98.0%
Common 23
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
76
 
6.8%
52
 
4.6%
49
 
4.4%
45
 
4.0%
42
 
3.7%
24
 
2.1%
22
 
2.0%
22
 
2.0%
19
 
1.7%
19
 
1.7%
Other values (159) 754
67.1%
Common
ValueCountFrequency (%)
12
52.2%
, 9
39.1%
( 1
 
4.3%
) 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1124
98.0%
ASCII 23
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
76
 
6.8%
52
 
4.6%
49
 
4.4%
45
 
4.0%
42
 
3.7%
24
 
2.1%
22
 
2.0%
22
 
2.0%
19
 
1.7%
19
 
1.7%
Other values (159) 754
67.1%
ASCII
ValueCountFrequency (%)
12
52.2%
, 9
39.1%
( 1
 
4.3%
) 1
 
4.3%
Distinct362
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-11T08:48:33.470431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.038251
Min length9

Characters and Unicode

Total characters4406
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

Unique358 ?
Unique (%)97.8%

Sample

1st row055-634-1951
2nd row055-632-2280
3rd row055-638-0468
4th row055-637-3625
5th row055-638-1145
ValueCountFrequency (%)
055-759-7859 2
 
0.5%
070-8199-3361 2
 
0.5%
055-854-9777 2
 
0.5%
055-339-3366 2
 
0.5%
055-293-3378 1
 
0.3%
055-261-0200 1
 
0.3%
055-277-5685 1
 
0.3%
055-274-0300 1
 
0.3%
055-280-0114 1
 
0.3%
055-252-6043 1
 
0.3%
Other values (352) 352
96.2%
2023-12-11T08:48:34.164783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 946
21.5%
- 731
16.6%
0 668
15.2%
2 350
 
7.9%
3 323
 
7.3%
7 280
 
6.4%
4 247
 
5.6%
1 237
 
5.4%
6 236
 
5.4%
8 218
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3675
83.4%
Dash Punctuation 731
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 946
25.7%
0 668
18.2%
2 350
 
9.5%
3 323
 
8.8%
7 280
 
7.6%
4 247
 
6.7%
1 237
 
6.4%
6 236
 
6.4%
8 218
 
5.9%
9 170
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 731
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4406
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 946
21.5%
- 731
16.6%
0 668
15.2%
2 350
 
7.9%
3 323
 
7.3%
7 280
 
6.4%
4 247
 
5.6%
1 237
 
5.4%
6 236
 
5.4%
8 218
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4406
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 946
21.5%
- 731
16.6%
0 668
15.2%
2 350
 
7.9%
3 323
 
7.3%
7 280
 
6.4%
4 247
 
5.6%
1 237
 
5.4%
6 236
 
5.4%
8 218
 
4.9%
Distinct349
Distinct (%)95.6%
Missing1
Missing (%)0.3%
Memory size3.0 KiB
2023-12-11T08:48:34.480177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.024658
Min length11

Characters and Unicode

Total characters4389
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

Unique334 ?
Unique (%)91.5%

Sample

1st row055-634-1952
2nd row055-637-7789
3rd row055-638-0455
4th row055-635-2266
5th row055-638-1146
ValueCountFrequency (%)
055-672-9802 3
 
0.8%
055-325-2115 2
 
0.5%
055-673-6157 2
 
0.5%
055-757-4417 2
 
0.5%
055-745-7235 2
 
0.5%
055-746-7749 2
 
0.5%
055-243-7769 2
 
0.5%
055-321-6769 2
 
0.5%
055-231-9168 2
 
0.5%
055-759-7851 2
 
0.5%
Other values (339) 344
94.2%
2023-12-11T08:48:34.938347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 985
22.4%
- 730
16.6%
0 576
13.1%
2 351
 
8.0%
3 328
 
7.5%
7 302
 
6.9%
4 253
 
5.8%
8 236
 
5.4%
6 223
 
5.1%
1 208
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3659
83.4%
Dash Punctuation 730
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 985
26.9%
0 576
15.7%
2 351
 
9.6%
3 328
 
9.0%
7 302
 
8.3%
4 253
 
6.9%
8 236
 
6.4%
6 223
 
6.1%
1 208
 
5.7%
9 197
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 730
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4389
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 985
22.4%
- 730
16.6%
0 576
13.1%
2 351
 
8.0%
3 328
 
7.5%
7 302
 
6.9%
4 253
 
5.8%
8 236
 
5.4%
6 223
 
5.1%
1 208
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4389
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 985
22.4%
- 730
16.6%
0 576
13.1%
2 351
 
8.0%
3 328
 
7.5%
7 302
 
6.9%
4 253
 
5.8%
8 236
 
5.4%
6 223
 
5.1%
1 208
 
4.7%

주소
Text

Distinct363
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-11T08:48:35.213156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length39
Mean length24.054645
Min length10

Characters and Unicode

Total characters8804
Distinct characters269
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique360 ?
Unique (%)98.4%

Sample

1st row거제시 거제중앙로13길 7, 6층 603호(고현동, 휴엔하임오피스텔)
2nd row거제시 거제중앙로16길17, 311호(고현동, 영진오피스텔)
3rd row거제시 고현로 51, 2층 (고현동)
4th row거제시 고현천로 62, (고현동)
5th row거제시 고현천로108(고현동)
ValueCountFrequency (%)
창원시 126
 
7.8%
김해시 59
 
3.7%
진주시 56
 
3.5%
의창구 41
 
2.5%
성산구 34
 
2.1%
양산시 25
 
1.6%
마산회원구 24
 
1.5%
2층 20
 
1.2%
마산합포구 17
 
1.1%
거제시 17
 
1.1%
Other values (815) 1189
73.9%
2023-12-11T08:48:35.644244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1337
 
15.2%
1 429
 
4.9%
331
 
3.8%
319
 
3.6%
288
 
3.3%
, 252
 
2.9%
( 248
 
2.8%
) 248
 
2.8%
2 238
 
2.7%
214
 
2.4%
Other values (259) 4900
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4927
56.0%
Decimal Number 1693
 
19.2%
Space Separator 1337
 
15.2%
Other Punctuation 258
 
2.9%
Open Punctuation 248
 
2.8%
Close Punctuation 248
 
2.8%
Dash Punctuation 87
 
1.0%
Uppercase Letter 5
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
331
 
6.7%
319
 
6.5%
288
 
5.8%
214
 
4.3%
212
 
4.3%
187
 
3.8%
170
 
3.5%
132
 
2.7%
125
 
2.5%
114
 
2.3%
Other values (236) 2835
57.5%
Decimal Number
ValueCountFrequency (%)
1 429
25.3%
2 238
14.1%
0 163
 
9.6%
5 159
 
9.4%
3 158
 
9.3%
6 130
 
7.7%
4 125
 
7.4%
7 115
 
6.8%
9 95
 
5.6%
8 81
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 252
97.7%
· 3
 
1.2%
. 2
 
0.8%
1
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
K 2
40.0%
T 1
20.0%
S 1
20.0%
B 1
20.0%
Space Separator
ValueCountFrequency (%)
1337
100.0%
Open Punctuation
ValueCountFrequency (%)
( 248
100.0%
Close Punctuation
ValueCountFrequency (%)
) 248
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 87
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4927
56.0%
Common 3872
44.0%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
331
 
6.7%
319
 
6.5%
288
 
5.8%
214
 
4.3%
212
 
4.3%
187
 
3.8%
170
 
3.5%
132
 
2.7%
125
 
2.5%
114
 
2.3%
Other values (236) 2835
57.5%
Common
ValueCountFrequency (%)
1337
34.5%
1 429
 
11.1%
, 252
 
6.5%
( 248
 
6.4%
) 248
 
6.4%
2 238
 
6.1%
0 163
 
4.2%
5 159
 
4.1%
3 158
 
4.1%
6 130
 
3.4%
Other values (9) 510
 
13.2%
Latin
ValueCountFrequency (%)
K 2
40.0%
T 1
20.0%
S 1
20.0%
B 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4927
56.0%
ASCII 3873
44.0%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1337
34.5%
1 429
 
11.1%
, 252
 
6.5%
( 248
 
6.4%
) 248
 
6.4%
2 238
 
6.1%
0 163
 
4.2%
5 159
 
4.1%
3 158
 
4.1%
6 130
 
3.4%
Other values (11) 511
 
13.2%
Hangul
ValueCountFrequency (%)
331
 
6.7%
319
 
6.5%
288
 
5.8%
214
 
4.3%
212
 
4.3%
187
 
3.8%
170
 
3.5%
132
 
2.7%
125
 
2.5%
114
 
2.3%
Other values (236) 2835
57.5%
None
ValueCountFrequency (%)
· 3
75.0%
1
 
25.0%

Interactions

2023-12-11T08:48:30.352713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:48:30.126245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:48:30.444880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:48:30.218706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:48:35.729088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번등록번호
순번1.0000.000
등록번호0.0001.000
2023-12-11T08:48:35.799370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번등록번호
순번1.0000.064
등록번호0.0641.000

Missing values

2023-12-11T08:48:30.557882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:48:30.696948image/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

순번등록번호상호대표자전화번호팩스번호주소
01550260우리윈시스템 주식회사황숙형055-634-1951055-634-1952거제시 거제중앙로13길 7, 6층 603호(고현동, 휴엔하임오피스텔)
12350169(주)누리정보시스템장재석055-632-2280055-637-7789거제시 거제중앙로16길17, 311호(고현동, 영진오피스텔)
23550084삼우네트워크(주)정형식055-638-0468055-638-0455거제시 고현로 51, 2층 (고현동)
34150592(주)삼성정보통신정은경055-637-3625055-635-2266거제시 고현천로 62, (고현동)
45550133일성정보통신장길호055-638-1145055-638-1146거제시 고현천로108(고현동)
56120208(주)동화정보통신강백승055-237-8987055-237-4488거제시 남부면 대포길72
67120346(주)유일정보통신조응록051-343-8989051-343-9955거제시 능포로97, 3층(장승포동, 케이티장승포빌딩)
78550097가가정보통신(주)이우성055-636-8822055-637-4411거제시 사등면 거제남서로5339-2, 2층
89201245주식회사 금랑정보통신윤상재055-637-2936055-637-2937거제시 수양로 160-1, (양정동)
910420076(주)지원정보통신손정아055-637-4001055-637-4012거제시 수양로160-1(양정동)
순번등록번호상호대표자전화번호팩스번호주소
356357550117(주)디케이이앤씨여환철055-962-4930055-962-4928함양군 함양읍 영림서길 28-21 1층
357358550155(주)링크로드강선택055-962-7534055-962-7536함양군 함양읍 필봉산길8
358359201595(주)열린이앤아이티천연희02-322-5272050-5325-5272함양군 함양읍 학사루길 15-2, 201호
359360550081(주)대하정보통신공영란055-964-9700055-964-9701함양군 함양읍 함양로 1222, 상가동 비-105호(한마음아파트)
360361550038(주)삼한전기통신공사유치용055-933-1999055-934-1999합천군 합천읍 대야로 894
361362550180(주)온누리정보통신곽재득055-931-5989055-931-5979합천군 합천읍 대야로922
362363550261(주)합천정보통신노재석055-933-2336055-933-1256합천군 합천읍 동서로 123
363364120289(주)반도전기통신강길수055-932-5889055-931-5272합천군 합천읍 옥산로 126
364365550085조은정보통신손기숙055-933-0909055-933-0904합천군 합천읍 중앙로9-1
365366550231(주)현대전기통신정영신055-931-9696055-931-4558합천군 합천읍 충효로 137