Overview

Dataset statistics

Number of variables6
Number of observations417
Missing cells226
Missing cells (%)9.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.1 KiB
Average record size in memory49.3 B

Variable types

Numeric1
Categorical1
Text4

Dataset

Description인천광역시 남동구 출판사 및 인쇄소 현황(연번, 업종, 사업체명칭, 사업체소재지(도로명), 사업체소재지(지번), 전화번호) 개방합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15067717&srcSe=7661IVAWM27C61E190

Alerts

연번 is highly overall correlated with 업종High correlation
업종 is highly overall correlated with 연번High correlation
사업체소재지(지번) has 7 (1.7%) missing valuesMissing
전화번호 has 215 (51.6%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-28 10:22:11.426007
Analysis finished2024-01-28 10:22:12.380473
Duration0.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct417
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean209
Minimum1
Maximum417
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-01-28T19:22:12.434529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile21.8
Q1105
median209
Q3313
95-th percentile396.2
Maximum417
Range416
Interquartile range (IQR)208

Descriptive statistics

Standard deviation120.52178
Coefficient of variation (CV)0.57665925
Kurtosis-1.2
Mean209
Median Absolute Deviation (MAD)104
Skewness0
Sum87153
Variance14525.5
MonotonicityStrictly increasing
2024-01-28T19:22:12.534647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
314 1
 
0.2%
286 1
 
0.2%
285 1
 
0.2%
284 1
 
0.2%
283 1
 
0.2%
282 1
 
0.2%
281 1
 
0.2%
280 1
 
0.2%
279 1
 
0.2%
Other values (407) 407
97.6%
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 (%)
417 1
0.2%
416 1
0.2%
415 1
0.2%
414 1
0.2%
413 1
0.2%
412 1
0.2%
411 1
0.2%
410 1
0.2%
409 1
0.2%
408 1
0.2%

업종
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
출판사
351 
인쇄사
66 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판사 351
84.2%
인쇄사 66
 
15.8%

Length

2024-01-28T19:22:12.623768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T19:22:12.696134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판사 351
84.2%
인쇄사 66
 
15.8%

사업체명칭
Text

Distinct399
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-01-28T19:22:12.919403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length6.7170264
Min length1

Characters and Unicode

Total characters2801
Distinct characters421
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique381 ?
Unique (%)91.4%

Sample

1st row부호기획
2nd row도서출판 나팔소리
3rd row고인돌
4th row공단가이드
5th row도서출판 고산
ValueCountFrequency (%)
도서출판 39
 
6.7%
주식회사 29
 
5.0%
출판사 7
 
1.2%
디자인 3
 
0.5%
book 3
 
0.5%
books 3
 
0.5%
대명 2
 
0.3%
동일문화(주 2
 
0.3%
허브 2
 
0.3%
디자인댓 2
 
0.3%
Other values (469) 491
84.2%
2024-01-28T19:22:13.240713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
166
 
5.9%
사 91
 
3.2%
출 81
 
2.9%
판 81
 
2.9%
주 73
 
2.6%
스 56
 
2.0%
이 55
 
2.0%
인 52
 
1.9%
서 51
 
1.8%
( 50
 
1.8%
Other values (411) 2045
73.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2279
81.4%
Space Separator 166
 
5.9%
Lowercase Letter 115
 
4.1%
Uppercase Letter 113
 
4.0%
Open Punctuation 53
 
1.9%
Close Punctuation 53
 
1.9%
Decimal Number 15
 
0.5%
Other Punctuation 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 91
 
4.0%
출 81
 
3.6%
판 81
 
3.6%
주 73
 
3.2%
스 56
 
2.5%
이 55
 
2.4%
인 52
 
2.3%
서 51
 
2.2%
도 49
 
2.2%
디 44
 
1.9%
Other values (355) 1646
72.2%
Lowercase Letter
ValueCountFrequency (%)
o 21
18.3%
e 14
12.2%
t 9
 
7.8%
s 8
 
7.0%
r 8
 
7.0%
i 7
 
6.1%
k 7
 
6.1%
a 7
 
6.1%
l 5
 
4.3%
c 5
 
4.3%
Other values (10) 24
20.9%
Uppercase Letter
ValueCountFrequency (%)
S 10
 
8.8%
B 10
 
8.8%
E 9
 
8.0%
C 9
 
8.0%
T 7
 
6.2%
K 7
 
6.2%
L 7
 
6.2%
P 6
 
5.3%
N 6
 
5.3%
A 5
 
4.4%
Other values (10) 37
32.7%
Decimal Number
ValueCountFrequency (%)
2 4
26.7%
9 3
20.0%
1 3
20.0%
6 2
13.3%
7 2
13.3%
4 1
 
6.7%
Open Punctuation
ValueCountFrequency (%)
( 50
94.3%
[ 2
 
3.8%
「 1
 
1.9%
Close Punctuation
ValueCountFrequency (%)
) 50
94.3%
] 2
 
3.8%
」 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
& 4
57.1%
, 2
28.6%
' 1
 
14.3%
Space Separator
ValueCountFrequency (%)
166
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2277
81.3%
Common 294
 
10.5%
Latin 228
 
8.1%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 91
 
4.0%
출 81
 
3.6%
판 81
 
3.6%
주 73
 
3.2%
스 56
 
2.5%
이 55
 
2.4%
인 52
 
2.3%
서 51
 
2.2%
도 49
 
2.2%
디 44
 
1.9%
Other values (353) 1644
72.2%
Latin
ValueCountFrequency (%)
o 21
 
9.2%
e 14
 
6.1%
S 10
 
4.4%
B 10
 
4.4%
E 9
 
3.9%
t 9
 
3.9%
C 9
 
3.9%
s 8
 
3.5%
r 8
 
3.5%
T 7
 
3.1%
Other values (30) 123
53.9%
Common
ValueCountFrequency (%)
166
56.5%
( 50
 
17.0%
) 50
 
17.0%
& 4
 
1.4%
2 4
 
1.4%
9 3
 
1.0%
1 3
 
1.0%
] 2
 
0.7%
[ 2
 
0.7%
, 2
 
0.7%
Other values (6) 8
 
2.7%
Han
ValueCountFrequency (%)
謙 1
50.0%
娥 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2277
81.3%
ASCII 520
 
18.6%
CJK 2
 
0.1%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
166
31.9%
( 50
 
9.6%
) 50
 
9.6%
o 21
 
4.0%
e 14
 
2.7%
S 10
 
1.9%
B 10
 
1.9%
E 9
 
1.7%
t 9
 
1.7%
C 9
 
1.7%
Other values (44) 172
33.1%
Hangul
ValueCountFrequency (%)
사 91
 
4.0%
출 81
 
3.6%
판 81
 
3.6%
주 73
 
3.2%
스 56
 
2.5%
이 55
 
2.4%
인 52
 
2.3%
서 51
 
2.2%
도 49
 
2.2%
디 44
 
1.9%
Other values (353) 1644
72.2%
CJK
ValueCountFrequency (%)
謙 1
50.0%
娥 1
50.0%
None
ValueCountFrequency (%)
」 1
50.0%
「 1
50.0%

사업체소재지(도로명)
Text

Distinct389
Distinct (%)94.2%
Missing4
Missing (%)1.0%
Memory size3.4 KiB
2024-01-28T19:22:13.495096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length48
Mean length36.803874
Min length22

Characters and Unicode

Total characters15200
Distinct characters280
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

Unique367 ?
Unique (%)88.9%

Sample

1st row인천광역시 남동구 서판로6번길 24 (만수동)
2nd row인천광역시 남동구 예술로 284 (간석동)
3rd row인천광역시 남동구 서판로6번길 24 (만수동)
4th row인천광역시 남동구 경인로 554, 610호 (간석동,효성오피스텔)
5th row인천광역시 남동구 백범로 453-1 (간석동)
ValueCountFrequency (%)
인천광역시 413
 
15.0%
남동구 412
 
15.0%
구월동 95
 
3.5%
간석동 67
 
2.4%
만수동 60
 
2.2%
논현동 58
 
2.1%
고잔동 24
 
0.9%
서창동 20
 
0.7%
301호 17
 
0.6%
백범로 16
 
0.6%
Other values (895) 1567
57.0%
2024-01-28T19:22:13.874057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2441
 
16.1%
동 995
 
6.5%
구 601
 
4.0%
1 596
 
3.9%
, 518
 
3.4%
남 497
 
3.3%
인 460
 
3.0%
천 431
 
2.8%
로 429
 
2.8%
시 428
 
2.8%
Other values (270) 7804
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8468
55.7%
Decimal Number 2792
 
18.4%
Space Separator 2441
 
16.1%
Other Punctuation 519
 
3.4%
Close Punctuation 418
 
2.8%
Open Punctuation 418
 
2.8%
Dash Punctuation 73
 
0.5%
Uppercase Letter 67
 
0.4%
Lowercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 995
 
11.8%
구 601
 
7.1%
남 497
 
5.9%
인 460
 
5.4%
천 431
 
5.1%
로 429
 
5.1%
시 428
 
5.1%
역 422
 
5.0%
광 421
 
5.0%
호 288
 
3.4%
Other values (236) 3496
41.3%
Uppercase Letter
ValueCountFrequency (%)
L 19
28.4%
B 18
26.9%
A 9
13.4%
H 3
 
4.5%
C 3
 
4.5%
D 3
 
4.5%
O 3
 
4.5%
T 3
 
4.5%
N 1
 
1.5%
J 1
 
1.5%
Other values (4) 4
 
6.0%
Decimal Number
ValueCountFrequency (%)
1 596
21.3%
0 424
15.2%
2 351
12.6%
3 330
11.8%
5 267
9.6%
4 240
8.6%
6 182
 
6.5%
7 147
 
5.3%
8 135
 
4.8%
9 120
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 518
99.8%
/ 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
b 1
50.0%
Space Separator
ValueCountFrequency (%)
2441
100.0%
Close Punctuation
ValueCountFrequency (%)
) 418
100.0%
Open Punctuation
ValueCountFrequency (%)
( 418
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 73
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8468
55.7%
Common 6662
43.8%
Latin 70
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 995
 
11.8%
구 601
 
7.1%
남 497
 
5.9%
인 460
 
5.4%
천 431
 
5.1%
로 429
 
5.1%
시 428
 
5.1%
역 422
 
5.0%
광 421
 
5.0%
호 288
 
3.4%
Other values (236) 3496
41.3%
Common
ValueCountFrequency (%)
2441
36.6%
1 596
 
8.9%
, 518
 
7.8%
0 424
 
6.4%
) 418
 
6.3%
( 418
 
6.3%
2 351
 
5.3%
3 330
 
5.0%
5 267
 
4.0%
4 240
 
3.6%
Other values (7) 659
 
9.9%
Latin
ValueCountFrequency (%)
L 19
27.1%
B 18
25.7%
A 9
12.9%
H 3
 
4.3%
C 3
 
4.3%
D 3
 
4.3%
O 3
 
4.3%
T 3
 
4.3%
N 1
 
1.4%
J 1
 
1.4%
Other values (7) 7
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8468
55.7%
ASCII 6731
44.3%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2441
36.3%
1 596
 
8.9%
, 518
 
7.7%
0 424
 
6.3%
) 418
 
6.2%
( 418
 
6.2%
2 351
 
5.2%
3 330
 
4.9%
5 267
 
4.0%
4 240
 
3.6%
Other values (23) 728
 
10.8%
Hangul
ValueCountFrequency (%)
동 995
 
11.8%
구 601
 
7.1%
남 497
 
5.9%
인 460
 
5.4%
천 431
 
5.1%
로 429
 
5.1%
시 428
 
5.1%
역 422
 
5.0%
광 421
 
5.0%
호 288
 
3.4%
Other values (236) 3496
41.3%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

사업체소재지(지번)
Text

MISSING 

Distinct378
Distinct (%)92.2%
Missing7
Missing (%)1.7%
Memory size3.4 KiB
2024-01-28T19:22:14.117918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length40
Mean length27.380488
Min length18

Characters and Unicode

Total characters11226
Distinct characters250
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique351 ?
Unique (%)85.6%

Sample

1st row인천광역시 남동구 만수동 851-8
2nd row인천광역시 남동구 간석동 457-2 하늘교회내 2층
3rd row인천광역시 남동구 만수동 851-8
4th row인천광역시 남동구 간석동 542-2 효성오피스텔 610호
5th row인천광역시 남동구 간석동 574-10
ValueCountFrequency (%)
인천광역시 410
19.0%
남동구 409
18.9%
구월동 119
 
5.5%
간석동 85
 
3.9%
만수동 71
 
3.3%
논현동 58
 
2.7%
고잔동 38
 
1.8%
서창동 21
 
1.0%
301호 14
 
0.6%
2층 8
 
0.4%
Other values (686) 930
43.0%
2024-01-28T19:22:14.469094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2031
18.1%
동 894
 
8.0%
1 660
 
5.9%
구 538
 
4.8%
시 424
 
3.8%
남 424
 
3.8%
인 419
 
3.7%
광 418
 
3.7%
천 417
 
3.7%
역 410
 
3.7%
Other values (240) 4591
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6178
55.0%
Decimal Number 2582
23.0%
Space Separator 2031
 
18.1%
Dash Punctuation 358
 
3.2%
Uppercase Letter 65
 
0.6%
Other Punctuation 6
 
0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Letter Number 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 894
14.5%
구 538
 
8.7%
시 424
 
6.9%
남 424
 
6.9%
인 419
 
6.8%
광 418
 
6.8%
천 417
 
6.7%
역 410
 
6.6%
호 159
 
2.6%
월 128
 
2.1%
Other values (206) 1947
31.5%
Uppercase Letter
ValueCountFrequency (%)
L 19
29.2%
B 17
26.2%
A 6
 
9.2%
C 4
 
6.2%
H 3
 
4.6%
T 3
 
4.6%
D 3
 
4.6%
O 2
 
3.1%
N 1
 
1.5%
J 1
 
1.5%
Other values (6) 6
 
9.2%
Decimal Number
ValueCountFrequency (%)
1 660
25.6%
0 312
12.1%
2 279
10.8%
3 271
10.5%
6 221
 
8.6%
4 220
 
8.5%
5 199
 
7.7%
7 162
 
6.3%
9 130
 
5.0%
8 128
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 5
83.3%
/ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
2031
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 358
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6178
55.0%
Common 4981
44.4%
Latin 67
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 894
14.5%
구 538
 
8.7%
시 424
 
6.9%
남 424
 
6.9%
인 419
 
6.8%
광 418
 
6.8%
천 417
 
6.7%
역 410
 
6.6%
호 159
 
2.6%
월 128
 
2.1%
Other values (206) 1947
31.5%
Latin
ValueCountFrequency (%)
L 19
28.4%
B 17
25.4%
A 6
 
9.0%
C 4
 
6.0%
H 3
 
4.5%
T 3
 
4.5%
D 3
 
4.5%
O 2
 
3.0%
N 1
 
1.5%
Ⅲ 1
 
1.5%
Other values (8) 8
11.9%
Common
ValueCountFrequency (%)
2031
40.8%
1 660
 
13.3%
- 358
 
7.2%
0 312
 
6.3%
2 279
 
5.6%
3 271
 
5.4%
6 221
 
4.4%
4 220
 
4.4%
5 199
 
4.0%
7 162
 
3.3%
Other values (6) 268
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6178
55.0%
ASCII 5047
45.0%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2031
40.2%
1 660
 
13.1%
- 358
 
7.1%
0 312
 
6.2%
2 279
 
5.5%
3 271
 
5.4%
6 221
 
4.4%
4 220
 
4.4%
5 199
 
3.9%
7 162
 
3.2%
Other values (23) 334
 
6.6%
Hangul
ValueCountFrequency (%)
동 894
14.5%
구 538
 
8.7%
시 424
 
6.9%
남 424
 
6.9%
인 419
 
6.8%
광 418
 
6.8%
천 417
 
6.7%
역 410
 
6.6%
호 159
 
2.6%
월 128
 
2.1%
Other values (206) 1947
31.5%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

전화번호
Text

MISSING 

Distinct184
Distinct (%)91.1%
Missing215
Missing (%)51.6%
Memory size3.4 KiB
2024-01-28T19:22:14.694131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length12.19802
Min length9

Characters and Unicode

Total characters2464
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique166 ?
Unique (%)82.2%

Sample

1st row032-463-2977
2nd row032-236-7375
3rd row032-439-0574
4th row032-426-6012
5th row032-431-6206
ValueCountFrequency (%)
032-811-2255 2
 
1.0%
032-885-2902 2
 
1.0%
032-330-9227 2
 
1.0%
032-423-7372 2
 
1.0%
032-505-8557 2
 
1.0%
032-423-2114 2
 
1.0%
032-433-5576 2
 
1.0%
032-471-3080 2
 
1.0%
032-467-4544~5,011-7 2
 
1.0%
032-201-8770 2
 
1.0%
Other values (174) 182
90.1%
2024-01-28T19:22:14.998584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 406
16.5%
0 373
15.1%
2 369
15.0%
3 327
13.3%
4 210
8.5%
1 145
 
5.9%
7 140
 
5.7%
8 134
 
5.4%
6 134
 
5.4%
5 131
 
5.3%
Other values (3) 95
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2050
83.2%
Dash Punctuation 406
 
16.5%
Math Symbol 4
 
0.2%
Other Punctuation 4
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 373
18.2%
2 369
18.0%
3 327
16.0%
4 210
10.2%
1 145
 
7.1%
7 140
 
6.8%
8 134
 
6.5%
6 134
 
6.5%
5 131
 
6.4%
9 87
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 406
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2464
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 406
16.5%
0 373
15.1%
2 369
15.0%
3 327
13.3%
4 210
8.5%
1 145
 
5.9%
7 140
 
5.7%
8 134
 
5.4%
6 134
 
5.4%
5 131
 
5.3%
Other values (3) 95
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2464
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 406
16.5%
0 373
15.1%
2 369
15.0%
3 327
13.3%
4 210
8.5%
1 145
 
5.9%
7 140
 
5.7%
8 134
 
5.4%
6 134
 
5.4%
5 131
 
5.3%
Other values (3) 95
 
3.9%

Interactions

2024-01-28T19:22:12.112067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T19:22:15.074043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종
연번1.0000.987
업종0.9871.000
2024-01-28T19:22:15.135221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종
연번1.0000.892
업종0.8921.000

Missing values

2024-01-28T19:22:12.191037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T19:22:12.270236image/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.
2024-01-28T19:22:12.339811image/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

연번업종사업체명칭사업체소재지(도로명)사업체소재지(지번)전화번호
01출판사부호기획인천광역시 남동구 서판로6번길 24 (만수동)인천광역시 남동구 만수동 851-8032-463-2977
12출판사도서출판 나팔소리인천광역시 남동구 예술로 284 (간석동)인천광역시 남동구 간석동 457-2 하늘교회내 2층032-236-7375
23출판사고인돌인천광역시 남동구 서판로6번길 24 (만수동)인천광역시 남동구 만수동 851-8032-439-0574
34출판사공단가이드인천광역시 남동구 경인로 554, 610호 (간석동,효성오피스텔)인천광역시 남동구 간석동 542-2 효성오피스텔 610호032-426-6012
45출판사도서출판 고산인천광역시 남동구 백범로 453-1 (간석동)인천광역시 남동구 간석동 574-10032-431-6206
56출판사효진출판사인천광역시 남동구 문화로 87 (구월동,1층)인천광역시 남동구 구월동 1371-19 1층032-432-2413
67출판사도서출판 로원당인천광역시 남동구 성말로53번길 35-5 (구월동)인천광역시 남동구 구월동 1158-8<NA>
78출판사실화문화사인천광역시 남동구 남촌로122번길 34, 16동 지2호 (남촌동,장미빌라)인천광역시 남동구 남촌동 347-18 장미빌라 16동 지2호032-814-1047
89출판사충북사인천광역시 남동구 만월북로 43 (간석동)인천광역시 남동구 간석동 1-183032-465-9631
910출판사도서출판 어린양인천광역시 남동구 백범로214번길 6-8 (만수동)인천광역시 남동구 만수동 861-2032-462-0111
연번업종사업체명칭사업체소재지(도로명)사업체소재지(지번)전화번호
407408인쇄사사라소프트 주식회사인천광역시 남동구 논현로46번길 22, 코아루파크 A동 1004호 (논현동)인천광역시 남동구 논현동 637-2 코아루파크 A동 1004호032-815-8066
408409인쇄사(주)피케이팜인천광역시 남동구 남동동로 293, 가동 2층 (논현동)인천광역시 남동구 논현동 436-6<NA>
409410인쇄사(주)바다프린팅인천광역시 남동구 서창남로 16-18 (서창동)인천광역시 남동구 서창동 723-5<NA>
410411인쇄사디자인하다 MK인천광역시 남동구 선수촌공원로17번길 8, 정방빌딩 601호 (구월동)인천광역시 남동구 구월동 1542-4 정방빌딩032-822-0859
411412인쇄사주식회사 이음디앤피인천광역시 남동구 호구포로 194, 공장동 506호 (고잔동)인천광역시 남동구 고잔동 649-3032-437-4411
412413인쇄사주식회사 도서출판인천문화나이스인천광역시 남동구 만월북로 100, 3층 (간석동)인천광역시 남동구 간석동 1-135 호남식당032-505-8557
413414인쇄사도움기획인천광역시 남동구 호구포로 50 (809호201)호 (고잔동)인천광역시 남동구 고잔동 736-4<NA>
414415인쇄사고고디자인인천광역시 남동구 용천로4번길 43-20, 1층 1호 (구월동)인천광역시 남동구 구월동 1230-17032-267-0027
415416인쇄사주식회사 제이비스크린 (JB SCREEN)인천광역시 남동구 은봉로 52, NIC지식산업센터 1동 B108-109호 (논현동)인천광역시 남동구 논현동 446-3 NIC지식산업센터<NA>
416417인쇄사모씨네 사회적협동조합인천광역시 남동구 인주대로 721, 4층 (구월동)인천광역시 남동구 구월동 1235-16032-471-3080