Overview

Dataset statistics

Number of variables8
Number of observations375
Missing cells13
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.7 KiB
Average record size in memory67.4 B

Variable types

Numeric3
Text5

Dataset

Description충청북도 정보통신공사업 등록현황 정보를 제공합니다.(등록번호, 상호, 대표, 전화번호, 팩스번호, 주소, 우편번호 등)
URLhttps://www.data.go.kr/data/15053087/fileData.do

Alerts

순번 is highly overall correlated with 등록번호High correlation
등록번호 is highly overall correlated with 순번High correlation
팩스번호 has 10 (2.7%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:18:33.797417
Analysis finished2023-12-12 02:18:35.479656
Duration1.68 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct375
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean188
Minimum1
Maximum375
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-12T11:18:35.555817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19.7
Q194.5
median188
Q3281.5
95-th percentile356.3
Maximum375
Range374
Interquartile range (IQR)187

Descriptive statistics

Standard deviation108.39742
Coefficient of variation (CV)0.57658201
Kurtosis-1.2
Mean188
Median Absolute Deviation (MAD)94
Skewness0
Sum70500
Variance11750
MonotonicityStrictly increasing
2023-12-12T11:18:35.703879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
248 1
 
0.3%
257 1
 
0.3%
256 1
 
0.3%
255 1
 
0.3%
254 1
 
0.3%
253 1
 
0.3%
252 1
 
0.3%
251 1
 
0.3%
250 1
 
0.3%
Other values (365) 365
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 (%)
375 1
0.3%
374 1
0.3%
373 1
0.3%
372 1
0.3%
371 1
0.3%
370 1
0.3%
369 1
0.3%
368 1
0.3%
367 1
0.3%
366 1
0.3%

등록번호
Real number (ℝ)

HIGH CORRELATION 

Distinct374
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean367334.92
Minimum110218
Maximum640038
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-12T11:18:35.858189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110218
5-th percentile130055.8
Q1380116.5
median430130
Q3430244
95-th percentile430325.3
Maximum640038
Range529820
Interquartile range (IQR)50127.5

Descriptive statistics

Standard deviation127698.86
Coefficient of variation (CV)0.34763604
Kurtosis-0.14262344
Mean367334.92
Median Absolute Deviation (MAD)127
Skewness-1.0999873
Sum1.3775059 × 108
Variance1.6306998 × 1010
MonotonicityNot monotonic
2023-12-12T11:18:36.003979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200588 2
 
0.5%
130076 1
 
0.3%
430211 1
 
0.3%
430209 1
 
0.3%
430206 1
 
0.3%
430204 1
 
0.3%
430203 1
 
0.3%
430202 1
 
0.3%
430200 1
 
0.3%
430199 1
 
0.3%
Other values (364) 364
97.1%
ValueCountFrequency (%)
110218 1
0.3%
110470 1
0.3%
110691 1
0.3%
110878 1
0.3%
110984 1
0.3%
111598 1
0.3%
111727 1
0.3%
112513 1
0.3%
113359 1
0.3%
120385 1
0.3%
ValueCountFrequency (%)
640038 1
0.3%
630276 1
0.3%
630174 1
0.3%
620251 1
0.3%
610322 1
0.3%
550112 1
0.3%
550006 1
0.3%
540460 1
0.3%
540113 1
0.3%
530264 1
0.3%

상호
Text

Distinct373
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T11:18:36.240409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length8.3493333
Min length2

Characters and Unicode

Total characters3131
Distinct characters256
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

Unique371 ?
Unique (%)98.9%

Sample

1st row삼정전기통신(주)
2nd row홍성통신(주)
3rd row남양이엔씨(주)
4th row(주)세인미디어
5th row주식회사 세종전기기술
ValueCountFrequency (%)
주식회사 94
 
19.4%
대신네트웍스(주 2
 
0.4%
주 2
 
0.4%
co 2
 
0.4%
ltd 2
 
0.4%
주)바다에이앤티 2
 
0.4%
화진정보 1
 
0.2%
메가이엔씨 1
 
0.2%
주)에즈웰 1
 
0.2%
단양이노앤텍 1
 
0.2%
Other values (376) 376
77.7%
2023-12-12T11:18:36.659658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 347
 
11.1%
( 251
 
8.0%
) 251
 
8.0%
109
 
3.5%
사 106
 
3.4%
이 106
 
3.4%
신 103
 
3.3%
회 99
 
3.2%
식 98
 
3.1%
통 93
 
3.0%
Other values (246) 1568
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2466
78.8%
Open Punctuation 251
 
8.0%
Close Punctuation 251
 
8.0%
Space Separator 109
 
3.5%
Uppercase Letter 32
 
1.0%
Lowercase Letter 13
 
0.4%
Other Punctuation 8
 
0.3%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 347
 
14.1%
사 106
 
4.3%
이 106
 
4.3%
신 103
 
4.2%
회 99
 
4.0%
식 98
 
4.0%
통 93
 
3.8%
보 87
 
3.5%
정 83
 
3.4%
스 72
 
2.9%
Other values (217) 1272
51.6%
Uppercase Letter
ValueCountFrequency (%)
S 5
15.6%
C 4
12.5%
O 4
12.5%
I 4
12.5%
T 3
9.4%
G 2
 
6.2%
E 2
 
6.2%
D 2
 
6.2%
L 2
 
6.2%
W 1
 
3.1%
Other values (3) 3
9.4%
Lowercase Letter
ValueCountFrequency (%)
s 2
15.4%
t 2
15.4%
c 2
15.4%
o 2
15.4%
n 1
7.7%
d 1
7.7%
m 1
7.7%
e 1
7.7%
y 1
7.7%
Other Punctuation
ValueCountFrequency (%)
. 5
62.5%
, 2
 
25.0%
& 1
 
12.5%
Open Punctuation
ValueCountFrequency (%)
( 251
100.0%
Close Punctuation
ValueCountFrequency (%)
) 251
100.0%
Space Separator
ValueCountFrequency (%)
109
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2466
78.8%
Common 620
 
19.8%
Latin 45
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 347
 
14.1%
사 106
 
4.3%
이 106
 
4.3%
신 103
 
4.2%
회 99
 
4.0%
식 98
 
4.0%
통 93
 
3.8%
보 87
 
3.5%
정 83
 
3.4%
스 72
 
2.9%
Other values (217) 1272
51.6%
Latin
ValueCountFrequency (%)
S 5
 
11.1%
C 4
 
8.9%
O 4
 
8.9%
I 4
 
8.9%
T 3
 
6.7%
G 2
 
4.4%
E 2
 
4.4%
D 2
 
4.4%
s 2
 
4.4%
t 2
 
4.4%
Other values (12) 15
33.3%
Common
ValueCountFrequency (%)
( 251
40.5%
) 251
40.5%
109
17.6%
. 5
 
0.8%
, 2
 
0.3%
& 1
 
0.2%
3 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2466
78.8%
ASCII 665
 
21.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 347
 
14.1%
사 106
 
4.3%
이 106
 
4.3%
신 103
 
4.2%
회 99
 
4.0%
식 98
 
4.0%
통 93
 
3.8%
보 87
 
3.5%
정 83
 
3.4%
스 72
 
2.9%
Other values (217) 1272
51.6%
ASCII
ValueCountFrequency (%)
( 251
37.7%
) 251
37.7%
109
16.4%
. 5
 
0.8%
S 5
 
0.8%
C 4
 
0.6%
O 4
 
0.6%
I 4
 
0.6%
T 3
 
0.5%
G 2
 
0.3%
Other values (19) 27
 
4.1%

대표자
Text

Distinct371
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T11:18:36.997224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.0026667
Min length2

Characters and Unicode

Total characters1126
Distinct characters148
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique367 ?
Unique (%)97.9%

Sample

1st row전정진
2nd row김순희
3rd row김태순
4th row이미숙
5th row유재현
ValueCountFrequency (%)
김진영 2
 
0.5%
김순희 2
 
0.5%
이미숙 2
 
0.5%
이정순 2
 
0.5%
전정진 1
 
0.3%
이우일 1
 
0.3%
김경철 1
 
0.3%
손병호 1
 
0.3%
이병재 1
 
0.3%
김선정 1
 
0.3%
Other values (362) 362
96.3%
2023-12-12T11:18:37.457432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 85
 
7.5%
이 55
 
4.9%
정 43
 
3.8%
영 35
 
3.1%
박 29
 
2.6%
진 26
 
2.3%
순 22
 
2.0%
경 22
 
2.0%
희 21
 
1.9%
미 20
 
1.8%
Other values (138) 768
68.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1124
99.8%
Space Separator 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 85
 
7.6%
이 55
 
4.9%
정 43
 
3.8%
영 35
 
3.1%
박 29
 
2.6%
진 26
 
2.3%
순 22
 
2.0%
경 22
 
2.0%
희 21
 
1.9%
미 20
 
1.8%
Other values (136) 766
68.1%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1124
99.8%
Common 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 85
 
7.6%
이 55
 
4.9%
정 43
 
3.8%
영 35
 
3.1%
박 29
 
2.6%
진 26
 
2.3%
순 22
 
2.0%
경 22
 
2.0%
희 21
 
1.9%
미 20
 
1.8%
Other values (136) 766
68.1%
Common
ValueCountFrequency (%)
1
50.0%
, 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1124
99.8%
ASCII 2
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 85
 
7.6%
이 55
 
4.9%
정 43
 
3.8%
영 35
 
3.1%
박 29
 
2.6%
진 26
 
2.3%
순 22
 
2.0%
경 22
 
2.0%
희 21
 
1.9%
미 20
 
1.8%
Other values (136) 766
68.1%
ASCII
ValueCountFrequency (%)
1
50.0%
, 1
50.0%

전화번호
Text

Distinct363
Distinct (%)97.6%
Missing3
Missing (%)0.8%
Memory size3.1 KiB
2023-12-12T11:18:37.748224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.032258
Min length9

Characters and Unicode

Total characters4476
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

Unique354 ?
Unique (%)95.2%

Sample

1st row043-845-9938
2nd row043-268-2055
3rd row043-256-4706
4th row043-235-8711
5th row070-7121-5123
ValueCountFrequency (%)
043-286-3615 2
 
0.5%
043-285-2850 2
 
0.5%
043-283-5918 2
 
0.5%
070-4401-6804 2
 
0.5%
043-235-3721 2
 
0.5%
043-285-5670 2
 
0.5%
043-833-3555 2
 
0.5%
043-645-2363 2
 
0.5%
043-291-0403 2
 
0.5%
043-277-3002 1
 
0.3%
Other values (353) 353
94.9%
2023-12-12T11:18:38.270233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 744
16.6%
0 689
15.4%
3 637
14.2%
4 566
12.6%
2 439
9.8%
8 285
 
6.4%
5 266
 
5.9%
1 264
 
5.9%
7 235
 
5.3%
6 210
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3732
83.4%
Dash Punctuation 744
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 689
18.5%
3 637
17.1%
4 566
15.2%
2 439
11.8%
8 285
7.6%
5 266
 
7.1%
1 264
 
7.1%
7 235
 
6.3%
6 210
 
5.6%
9 141
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 744
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4476
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 744
16.6%
0 689
15.4%
3 637
14.2%
4 566
12.6%
2 439
9.8%
8 285
 
6.4%
5 266
 
5.9%
1 264
 
5.9%
7 235
 
5.3%
6 210
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4476
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 744
16.6%
0 689
15.4%
3 637
14.2%
4 566
12.6%
2 439
9.8%
8 285
 
6.4%
5 266
 
5.9%
1 264
 
5.9%
7 235
 
5.3%
6 210
 
4.7%

팩스번호
Text

MISSING 

Distinct337
Distinct (%)92.3%
Missing10
Missing (%)2.7%
Memory size3.1 KiB
2023-12-12T11:18:38.608733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.073973
Min length9

Characters and Unicode

Total characters4407
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

Unique313 ?
Unique (%)85.8%

Sample

1st row043-848-4240
2nd row043-268-2054
3rd row043-256-7564
4th row043-238-8711
5th row043-287-5123
ValueCountFrequency (%)
043-236-7284 4
 
1.1%
050-5300-6806 3
 
0.8%
043-857-5009 3
 
0.8%
043-645-2364 2
 
0.5%
043-642-6656 2
 
0.5%
043-275-7240 2
 
0.5%
043-646-7335 2
 
0.5%
043-844-5043 2
 
0.5%
070-4411-5670 2
 
0.5%
043-848-1424 2
 
0.5%
Other values (327) 341
93.4%
2023-12-12T11:18:39.062942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 730
16.6%
0 627
14.2%
3 623
14.1%
4 580
13.2%
2 444
10.1%
5 279
 
6.3%
8 261
 
5.9%
1 252
 
5.7%
7 228
 
5.2%
6 221
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3677
83.4%
Dash Punctuation 730
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 627
17.1%
3 623
16.9%
4 580
15.8%
2 444
12.1%
5 279
7.6%
8 261
7.1%
1 252
6.9%
7 228
 
6.2%
6 221
 
6.0%
9 162
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 730
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4407
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 730
16.6%
0 627
14.2%
3 623
14.1%
4 580
13.2%
2 444
10.1%
5 279
 
6.3%
8 261
 
5.9%
1 252
 
5.7%
7 228
 
5.2%
6 221
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4407
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 730
16.6%
0 627
14.2%
3 623
14.1%
4 580
13.2%
2 444
10.1%
5 279
 
6.3%
8 261
 
5.9%
1 252
 
5.7%
7 228
 
5.2%
6 221
 
5.0%

우편번호
Real number (ℝ)

Distinct245
Distinct (%)65.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28146.395
Minimum27005
Maximum29146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-12T11:18:39.228734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27005
5-th percentile27155.4
Q127736.5
median28182
Q328577
95-th percentile29039.4
Maximum29146
Range2141
Interquartile range (IQR)840.5

Descriptive statistics

Standard deviation564.38469
Coefficient of variation (CV)0.020051758
Kurtosis-0.77718938
Mean28146.395
Median Absolute Deviation (MAD)396
Skewness-0.34633715
Sum10554898
Variance318530.08
MonotonicityNot monotonic
2023-12-12T11:18:39.428444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28181 10
 
2.7%
28805 9
 
2.4%
28578 6
 
1.6%
27439 6
 
1.6%
28353 5
 
1.3%
28576 5
 
1.3%
28581 5
 
1.3%
28804 4
 
1.1%
28150 4
 
1.1%
28119 3
 
0.8%
Other values (235) 318
84.8%
ValueCountFrequency (%)
27005 1
0.3%
27010 2
0.5%
27012 1
0.3%
27013 2
0.5%
27027 2
0.5%
27028 1
0.3%
27132 1
0.3%
27134 2
0.5%
27136 1
0.3%
27137 1
0.3%
ValueCountFrequency (%)
29146 2
0.5%
29144 3
0.8%
29139 1
 
0.3%
29136 1
 
0.3%
29131 2
0.5%
29113 1
 
0.3%
29110 1
 
0.3%
29104 1
 
0.3%
29055 1
 
0.3%
29049 2
0.5%

주소
Text

Distinct368
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T11:18:39.799976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length41
Mean length27.738667
Min length17

Characters and Unicode

Total characters10402
Distinct characters252
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

Unique362 ?
Unique (%)96.5%

Sample

1st row충북 충주시 새말4길 12 , 가동 1층(칠금동)
2nd row충북 청주시 흥덕구 1순환로 618
3rd row충북 청주시 상당구 단재로 123 , 2층 (영운동)
4th row충북 청주시 서원구 남이면 양촌1길 37-6
5th row충북 청주시 청원구 무심동로 510, 2층(우암동)
ValueCountFrequency (%)
충북 233
 
10.0%
청주시 211
 
9.1%
충청북도 142
 
6.1%
흥덕구 74
 
3.2%
60
 
2.6%
서원구 56
 
2.4%
청원구 52
 
2.2%
충주시 42
 
1.8%
2층 30
 
1.3%
제천시 29
 
1.2%
Other values (816) 1396
60.0%
2023-12-12T11:18:40.333373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1950
 
18.7%
청 442
 
4.2%
1 437
 
4.2%
충 430
 
4.1%
북 399
 
3.8%
시 284
 
2.7%
주 281
 
2.7%
로 280
 
2.7%
동 279
 
2.7%
2 239
 
2.3%
Other values (242) 5381
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6017
57.8%
Space Separator 1950
 
18.7%
Decimal Number 1700
 
16.3%
Open Punctuation 216
 
2.1%
Close Punctuation 216
 
2.1%
Other Punctuation 196
 
1.9%
Dash Punctuation 102
 
1.0%
Uppercase Letter 4
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 442
 
7.3%
충 430
 
7.1%
북 399
 
6.6%
시 284
 
4.7%
주 281
 
4.7%
로 280
 
4.7%
동 279
 
4.6%
구 215
 
3.6%
길 205
 
3.4%
도 149
 
2.5%
Other values (224) 3053
50.7%
Decimal Number
ValueCountFrequency (%)
1 437
25.7%
2 239
14.1%
3 195
11.5%
4 153
 
9.0%
5 142
 
8.4%
0 133
 
7.8%
6 120
 
7.1%
7 100
 
5.9%
8 92
 
5.4%
9 89
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
S 3
75.0%
A 1
 
25.0%
Space Separator
ValueCountFrequency (%)
1950
100.0%
Open Punctuation
ValueCountFrequency (%)
( 216
100.0%
Close Punctuation
ValueCountFrequency (%)
) 216
100.0%
Other Punctuation
ValueCountFrequency (%)
, 196
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6017
57.8%
Common 4381
42.1%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 442
 
7.3%
충 430
 
7.1%
북 399
 
6.6%
시 284
 
4.7%
주 281
 
4.7%
로 280
 
4.7%
동 279
 
4.6%
구 215
 
3.6%
길 205
 
3.4%
도 149
 
2.5%
Other values (224) 3053
50.7%
Common
ValueCountFrequency (%)
1950
44.5%
1 437
 
10.0%
2 239
 
5.5%
( 216
 
4.9%
) 216
 
4.9%
, 196
 
4.5%
3 195
 
4.5%
4 153
 
3.5%
5 142
 
3.2%
0 133
 
3.0%
Other values (6) 504
 
11.5%
Latin
ValueCountFrequency (%)
S 3
75.0%
A 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6017
57.8%
ASCII 4385
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1950
44.5%
1 437
 
10.0%
2 239
 
5.5%
( 216
 
4.9%
) 216
 
4.9%
, 196
 
4.5%
3 195
 
4.4%
4 153
 
3.5%
5 142
 
3.2%
0 133
 
3.0%
Other values (8) 508
 
11.6%
Hangul
ValueCountFrequency (%)
청 442
 
7.3%
충 430
 
7.1%
북 399
 
6.6%
시 284
 
4.7%
주 281
 
4.7%
로 280
 
4.7%
동 279
 
4.6%
구 215
 
3.6%
길 205
 
3.4%
도 149
 
2.5%
Other values (224) 3053
50.7%

Interactions

2023-12-12T11:18:34.872481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:18:34.267289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:18:34.569438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:18:34.971348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:18:34.378869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:18:34.682495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:18:35.060509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:18:34.474475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:18:34.787634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:18:40.438521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번등록번호우편번호
순번1.0000.6290.123
등록번호0.6291.0000.000
우편번호0.1230.0001.000
2023-12-12T11:18:40.554008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번등록번호우편번호
순번1.0000.872-0.058
등록번호0.8721.000-0.068
우편번호-0.058-0.0681.000

Missing values

2023-12-12T11:18:35.197980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:18:35.345493image/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.
2023-12-12T11:18:35.433805image/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

순번등록번호상호대표자전화번호팩스번호우편번호주소
01130076삼정전기통신(주)전정진043-845-9938043-848-424027441충북 충주시 새말4길 12 , 가동 1층(칠금동)
12130062홍성통신(주)김순희043-268-2055043-268-205428574충북 청주시 흥덕구 1순환로 618
23130057남양이엔씨(주)김태순043-256-4706043-256-756428738충북 청주시 상당구 단재로 123 , 2층 (영운동)
34110218(주)세인미디어이미숙043-235-8711043-238-871128181충북 청주시 서원구 남이면 양촌1길 37-6
45160024주식회사 세종전기기술유재현070-7121-5123043-287-512328540충북 청주시 청원구 무심동로 510, 2층(우암동)
56130098(주)영진전기통신함춘모043-252-0111043-252-011228805충청북도 청주시 서원구 남이면 양촌3길 60
67150046(주)명성전력박정훈043-745-7474043-744-504029113충청북도 영동군 황간면 영동황간로 1211 가동 2층
78130052(주)현대통신공사김경태043-278-3333043-278-333628151충북 청주시 청원구 내수읍 은곡묵방길 22-6
89130053대청산업(주)홍순영043-257-7551043-257-755328483충북 청주시 청원구 1순환로 343 (내덕동)
910150249(주)세인전기정보통신임식043-252-0001043-221-258028371충북 청주시 흥덕구 서부로 967-39 (신전동)
순번등록번호상호대표자전화번호팩스번호우편번호주소
365366430318중원정보통신홍현정043-920-9953043-920-995427169충청북도 제천시 독순로6길 1, 2층(의림동)
366367430319(주)빛나라전기김지태043-643-0814043-644-081427159충청북도 제천시 바이오밸리2로 18, 2층 (왕암동)
367368430320주식회사 지엔시스템최재규<NA><NA>27426충청북도 충주시 봉방13길 13 (봉방동)
368369430321주식회사 세심산업개발김용현043-760-7014031-8055-774527909충청북도 증평군 증평읍 석현길 7
369370430322주식회사더호암지성민043-911-5000<NA>27344충청북도 충주시 번영대로 199, 리더스타워 1층 (연수동)
370371430323성화전기정보통신 주식회사이해준043-212-3222043-212-421228119충청북도 청주시 청원구 오창읍 중심상업로 32-13, 엔젤프리존 503호
371372430324(주)현정보시스템신해숙043-233-1583043-233-158428576충청북도 청주시 흥덕구 공단로 134, 세중테크노밸리 1411호 (송정동)
372373430325주식회사 대광전력서지훈043-643-7723043-646-733527157충청북도 제천시 대학로 31, 2층 (신월동)
373374430326화진정보 주식회사김진영043-288-99360303-3446-344628804충청북도 청주시 서원구 궁뜰로 55, 2층 (장성동)
374375430327대성아이앤씨 주식회사정윤희043-291-1181043-291-118228772충청북도 청주시 상당구 용암북로6번길 33-9, 1층 (용암동)