Overview

Dataset statistics

Number of variables8
Number of observations502
Missing cells5
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.5 KiB
Average record size in memory66.3 B

Variable types

Numeric2
Text5
DateTime1

Dataset

Description인천광역시 관내 정보통신공사업체 현황(업체명, 대표자, 주소, 전화번호, 팩스번호 등)에 대한 항목정보를 제공합니다.
Author인천광역시
URLhttps://www.data.go.kr/data/3082044/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
상호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:26:04.990428
Analysis finished2023-12-12 20:26:06.033228
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct502
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean251.5
Minimum1
Maximum502
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-13T05:26:06.405755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile26.05
Q1126.25
median251.5
Q3376.75
95-th percentile476.95
Maximum502
Range501
Interquartile range (IQR)250.5

Descriptive statistics

Standard deviation145.05918
Coefficient of variation (CV)0.57677608
Kurtosis-1.2
Mean251.5
Median Absolute Deviation (MAD)125.5
Skewness0
Sum126253
Variance21042.167
MonotonicityStrictly increasing
2023-12-13T05:26:06.536707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
332 1
 
0.2%
345 1
 
0.2%
344 1
 
0.2%
343 1
 
0.2%
342 1
 
0.2%
341 1
 
0.2%
340 1
 
0.2%
339 1
 
0.2%
338 1
 
0.2%
Other values (492) 492
98.0%
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 (%)
502 1
0.2%
501 1
0.2%
500 1
0.2%
499 1
0.2%
498 1
0.2%
497 1
0.2%
496 1
0.2%
495 1
0.2%
494 1
0.2%
493 1
0.2%

등록번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct502
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean272924.46
Minimum110035
Maximum620215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-13T05:26:06.663895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110035
5-th percentile110651.15
Q1200360.5
median320170.5
Q3320361.75
95-th percentile350093.5
Maximum620215
Range510180
Interquartile range (IQR)120001.25

Descriptive statistics

Standard deviation103473.27
Coefficient of variation (CV)0.37912787
Kurtosis0.62389114
Mean272924.46
Median Absolute Deviation (MAD)247
Skewness-0.03629956
Sum1.3700808 × 108
Variance1.0706717 × 1010
MonotonicityNot monotonic
2023-12-13T05:26:06.806344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
320462 1
 
0.2%
320061 1
 
0.2%
320047 1
 
0.2%
200611 1
 
0.2%
320050 1
 
0.2%
620059 1
 
0.2%
200668 1
 
0.2%
200680 1
 
0.2%
200684 1
 
0.2%
420088 1
 
0.2%
Other values (492) 492
98.0%
ValueCountFrequency (%)
110035 1
0.2%
110061 1
0.2%
110188 1
0.2%
110191 1
0.2%
110199 1
0.2%
110212 1
0.2%
110258 1
0.2%
110278 1
0.2%
110307 1
0.2%
110317 1
0.2%
ValueCountFrequency (%)
620215 1
0.2%
620175 1
0.2%
620059 1
0.2%
620031 1
0.2%
610226 1
0.2%
610192 1
0.2%
550336 1
0.2%
550143 1
0.2%
530316 1
0.2%
530107 1
0.2%

상호
Text

UNIQUE 

Distinct502
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-13T05:26:07.054799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length38
Mean length9.685259
Min length3

Characters and Unicode

Total characters4862
Distinct characters316
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

Unique502 ?
Unique (%)100.0%

Sample

1st row거산이앤지
2nd row주식회사 트인아이엔티
3rd row은오아이티
4th row네오테크 주식회사(NEOTECH Co., Ltd)
5th row주식회사 호성
ValueCountFrequency (%)
주식회사 214
28.2%
co 7
 
0.9%
ltd 7
 
0.9%
co.,ltd 4
 
0.5%
사단법인 2
 
0.3%
inc 2
 
0.3%
거산이앤지 1
 
0.1%
우진전기통신 1
 
0.1%
주)유성계전 1
 
0.1%
주)씨에스아이엔테크 1
 
0.1%
Other values (518) 518
68.3%
2023-12-13T05:26:07.541981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 465
 
9.6%
) 260
 
5.3%
( 260
 
5.3%
256
 
5.3%
사 229
 
4.7%
회 224
 
4.6%
식 221
 
4.5%
이 174
 
3.6%
스 128
 
2.6%
보 100
 
2.1%
Other values (306) 2545
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3798
78.1%
Close Punctuation 260
 
5.3%
Open Punctuation 260
 
5.3%
Space Separator 256
 
5.3%
Lowercase Letter 123
 
2.5%
Uppercase Letter 119
 
2.4%
Other Punctuation 45
 
0.9%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 465
 
12.2%
사 229
 
6.0%
회 224
 
5.9%
식 221
 
5.8%
이 174
 
4.6%
스 128
 
3.4%
보 100
 
2.6%
신 100
 
2.6%
정 99
 
2.6%
통 93
 
2.4%
Other values (260) 1965
51.7%
Lowercase Letter
ValueCountFrequency (%)
o 22
17.9%
t 21
17.1%
n 12
9.8%
d 12
9.8%
e 10
8.1%
i 7
 
5.7%
c 7
 
5.7%
a 6
 
4.9%
r 6
 
4.9%
v 4
 
3.3%
Other values (10) 16
13.0%
Uppercase Letter
ValueCountFrequency (%)
C 26
21.8%
L 17
14.3%
E 14
11.8%
I 9
 
7.6%
S 9
 
7.6%
T 8
 
6.7%
O 7
 
5.9%
N 5
 
4.2%
M 4
 
3.4%
H 4
 
3.4%
Other values (9) 16
13.4%
Other Punctuation
ValueCountFrequency (%)
. 29
64.4%
, 13
28.9%
& 3
 
6.7%
Close Punctuation
ValueCountFrequency (%)
) 260
100.0%
Open Punctuation
ValueCountFrequency (%)
( 260
100.0%
Space Separator
ValueCountFrequency (%)
256
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3798
78.1%
Common 822
 
16.9%
Latin 242
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 465
 
12.2%
사 229
 
6.0%
회 224
 
5.9%
식 221
 
5.8%
이 174
 
4.6%
스 128
 
3.4%
보 100
 
2.6%
신 100
 
2.6%
정 99
 
2.6%
통 93
 
2.4%
Other values (260) 1965
51.7%
Latin
ValueCountFrequency (%)
C 26
 
10.7%
o 22
 
9.1%
t 21
 
8.7%
L 17
 
7.0%
E 14
 
5.8%
n 12
 
5.0%
d 12
 
5.0%
e 10
 
4.1%
I 9
 
3.7%
S 9
 
3.7%
Other values (29) 90
37.2%
Common
ValueCountFrequency (%)
) 260
31.6%
( 260
31.6%
256
31.1%
. 29
 
3.5%
, 13
 
1.6%
& 3
 
0.4%
- 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3798
78.1%
ASCII 1064
 
21.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 465
 
12.2%
사 229
 
6.0%
회 224
 
5.9%
식 221
 
5.8%
이 174
 
4.6%
스 128
 
3.4%
보 100
 
2.6%
신 100
 
2.6%
정 99
 
2.6%
통 93
 
2.4%
Other values (260) 1965
51.7%
ASCII
ValueCountFrequency (%)
) 260
24.4%
( 260
24.4%
256
24.1%
. 29
 
2.7%
C 26
 
2.4%
o 22
 
2.1%
t 21
 
2.0%
L 17
 
1.6%
E 14
 
1.3%
, 13
 
1.2%
Other values (36) 146
13.7%

대표자
Text

Distinct497
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-13T05:26:07.963135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.0199203
Min length2

Characters and Unicode

Total characters1516
Distinct characters171
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

Unique492 ?
Unique (%)98.0%

Sample

1st row서동수
2nd row손성용
3rd row전재식
4th row홍지호
5th row신원아
ValueCountFrequency (%)
이상민 2
 
0.4%
김명규 2
 
0.4%
김진영 2
 
0.4%
박종한 2
 
0.4%
김미정 2
 
0.4%
김영훈 2
 
0.4%
이훈규 1
 
0.2%
이상수 1
 
0.2%
이민현 1
 
0.2%
강정구 1
 
0.2%
Other values (489) 489
96.8%
2023-12-13T05:26:08.599252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 101
 
6.7%
이 85
 
5.6%
정 62
 
4.1%
영 46
 
3.0%
박 44
 
2.9%
성 29
 
1.9%
희 28
 
1.8%
수 27
 
1.8%
진 27
 
1.8%
상 25
 
1.6%
Other values (161) 1042
68.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1510
99.6%
Space Separator 3
 
0.2%
Other Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 101
 
6.7%
이 85
 
5.6%
정 62
 
4.1%
영 46
 
3.0%
박 44
 
2.9%
성 29
 
1.9%
희 28
 
1.9%
수 27
 
1.8%
진 27
 
1.8%
상 25
 
1.7%
Other values (159) 1036
68.6%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1510
99.6%
Common 6
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 101
 
6.7%
이 85
 
5.6%
정 62
 
4.1%
영 46
 
3.0%
박 44
 
2.9%
성 29
 
1.9%
희 28
 
1.9%
수 27
 
1.8%
진 27
 
1.8%
상 25
 
1.7%
Other values (159) 1036
68.6%
Common
ValueCountFrequency (%)
3
50.0%
, 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1510
99.6%
ASCII 6
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 101
 
6.7%
이 85
 
5.6%
정 62
 
4.1%
영 46
 
3.0%
박 44
 
2.9%
성 29
 
1.9%
희 28
 
1.9%
수 27
 
1.8%
진 27
 
1.8%
상 25
 
1.7%
Other values (159) 1036
68.6%
ASCII
ValueCountFrequency (%)
3
50.0%
, 3
50.0%

전화번호
Text

Distinct494
Distinct (%)99.2%
Missing4
Missing (%)0.8%
Memory size4.1 KiB
2023-12-13T05:26:08.890811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.098394
Min length10

Characters and Unicode

Total characters6025
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

Unique490 ?
Unique (%)98.4%

Sample

1st row032-715-8416
2nd row032-715-7200
3rd row032-937-4425
4th row032-502-9449
5th row032-889-0404
ValueCountFrequency (%)
032-472-4238 2
 
0.4%
032-446-1999 2
 
0.4%
032-866-9911 2
 
0.4%
032-813-3775 2
 
0.4%
032-714-2500 1
 
0.2%
02-6482-8592 1
 
0.2%
032-467-8266 1
 
0.2%
032-502-6464 1
 
0.2%
032-547-4052 1
 
0.2%
032-937-8314 1
 
0.2%
Other values (484) 484
97.2%
2023-12-13T05:26:09.401040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 996
16.5%
- 996
16.5%
2 789
13.1%
3 757
12.6%
7 425
7.1%
5 413
6.9%
1 387
 
6.4%
8 384
 
6.4%
4 344
 
5.7%
6 331
 
5.5%
Other values (2) 203
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5027
83.4%
Dash Punctuation 996
 
16.5%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 996
19.8%
2 789
15.7%
3 757
15.1%
7 425
8.5%
5 413
8.2%
1 387
 
7.7%
8 384
 
7.6%
4 344
 
6.8%
6 331
 
6.6%
9 201
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 996
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6025
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 996
16.5%
- 996
16.5%
2 789
13.1%
3 757
12.6%
7 425
7.1%
5 413
6.9%
1 387
 
6.4%
8 384
 
6.4%
4 344
 
5.7%
6 331
 
5.5%
Other values (2) 203
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6025
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 996
16.5%
- 996
16.5%
2 789
13.1%
3 757
12.6%
7 425
7.1%
5 413
6.9%
1 387
 
6.4%
8 384
 
6.4%
4 344
 
5.7%
6 331
 
5.5%
Other values (2) 203
 
3.4%

팩스번호
Text

Distinct484
Distinct (%)96.6%
Missing1
Missing (%)0.2%
Memory size4.1 KiB
2023-12-13T05:26:09.733496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.085828
Min length11

Characters and Unicode

Total characters6055
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

Unique468 ?
Unique (%)93.4%

Sample

1st row032-715-8417
2nd row032-715-8292
3rd row032-504-0404
4th row0303-3445-9449
5th row0328-8788-8802
ValueCountFrequency (%)
032-832-8556 3
 
0.6%
032-710-3617 2
 
0.4%
032-554-1998 2
 
0.4%
032-464-3459 2
 
0.4%
032-528-9701 2
 
0.4%
032-872-3003 2
 
0.4%
032-207-8282 2
 
0.4%
032-235-8285 2
 
0.4%
032-363-3588 2
 
0.4%
032-777-6959 2
 
0.4%
Other values (474) 480
95.8%
2023-12-13T05:26:10.236286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1002
16.5%
0 886
14.6%
2 841
13.9%
3 826
13.6%
5 444
7.3%
8 383
 
6.3%
7 379
 
6.3%
6 352
 
5.8%
1 347
 
5.7%
4 345
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5053
83.5%
Dash Punctuation 1002
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 886
17.5%
2 841
16.6%
3 826
16.3%
5 444
8.8%
8 383
7.6%
7 379
7.5%
6 352
 
7.0%
1 347
 
6.9%
4 345
 
6.8%
9 250
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 1002
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6055
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1002
16.5%
0 886
14.6%
2 841
13.9%
3 826
13.6%
5 444
7.3%
8 383
 
6.3%
7 379
 
6.3%
6 352
 
5.8%
1 347
 
5.7%
4 345
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6055
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1002
16.5%
0 886
14.6%
2 841
13.9%
3 826
13.6%
5 444
7.3%
8 383
 
6.3%
7 379
 
6.3%
6 352
 
5.8%
1 347
 
5.7%
4 345
 
5.7%

주소
Text

Distinct499
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-13T05:26:10.638722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length47
Mean length33.623506
Min length15

Characters and Unicode

Total characters16879
Distinct characters351
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

Unique496 ?
Unique (%)98.8%

Sample

1st row인천광역시 남동구 인주대로 683, 302호(구월동)
2nd row인천광역시 미추홀구 학익소로 6-8, 5층(학익동)
3rd row인천광역시 강화군 길상면 해안남로 781, 1층
4th row인천광역시 남동구 남동대로916번길 23, 태화오피스텔 807호(간석동)
5th row인천광역시 중구 제물량로 35(신흥동3가)
ValueCountFrequency (%)
인천광역시 273
 
8.6%
인천 231
 
7.3%
118
 
3.7%
남동구 104
 
3.3%
부평구 103
 
3.3%
서구 81
 
2.6%
연수구 62
 
2.0%
계양구 44
 
1.4%
미추홀구 41
 
1.3%
부평대로 39
 
1.2%
Other values (1196) 2073
65.4%
2023-12-13T05:26:11.173510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2666
 
15.8%
동 751
 
4.4%
천 578
 
3.4%
1 571
 
3.4%
, 568
 
3.4%
인 557
 
3.3%
구 529
 
3.1%
로 497
 
2.9%
) 476
 
2.8%
( 476
 
2.8%
Other values (341) 9210
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9610
56.9%
Decimal Number 2917
 
17.3%
Space Separator 2667
 
15.8%
Other Punctuation 569
 
3.4%
Close Punctuation 476
 
2.8%
Open Punctuation 476
 
2.8%
Dash Punctuation 85
 
0.5%
Uppercase Letter 72
 
0.4%
Lowercase Letter 5
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 751
 
7.8%
천 578
 
6.0%
인 557
 
5.8%
구 529
 
5.5%
로 497
 
5.2%
호 313
 
3.3%
시 291
 
3.0%
광 289
 
3.0%
역 277
 
2.9%
부 206
 
2.1%
Other values (305) 5322
55.4%
Uppercase Letter
ValueCountFrequency (%)
B 16
22.2%
C 16
22.2%
R 12
16.7%
A 9
12.5%
T 5
 
6.9%
K 4
 
5.6%
D 2
 
2.8%
M 1
 
1.4%
S 1
 
1.4%
E 1
 
1.4%
Other values (5) 5
 
6.9%
Decimal Number
ValueCountFrequency (%)
1 571
19.6%
2 403
13.8%
3 402
13.8%
0 365
12.5%
5 232
8.0%
7 210
 
7.2%
8 209
 
7.2%
4 202
 
6.9%
6 191
 
6.5%
9 132
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
s 3
60.0%
y 1
 
20.0%
e 1
 
20.0%
Space Separator
ValueCountFrequency (%)
2666
> 99.9%
　 1
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
, 568
99.8%
. 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 476
100.0%
Open Punctuation
ValueCountFrequency (%)
( 476
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 85
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9610
56.9%
Common 7192
42.6%
Latin 77
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 751
 
7.8%
천 578
 
6.0%
인 557
 
5.8%
구 529
 
5.5%
로 497
 
5.2%
호 313
 
3.3%
시 291
 
3.0%
광 289
 
3.0%
역 277
 
2.9%
부 206
 
2.1%
Other values (305) 5322
55.4%
Common
ValueCountFrequency (%)
2666
37.1%
1 571
 
7.9%
, 568
 
7.9%
) 476
 
6.6%
( 476
 
6.6%
2 403
 
5.6%
3 402
 
5.6%
0 365
 
5.1%
5 232
 
3.2%
7 210
 
2.9%
Other values (8) 823
 
11.4%
Latin
ValueCountFrequency (%)
B 16
20.8%
C 16
20.8%
R 12
15.6%
A 9
11.7%
T 5
 
6.5%
K 4
 
5.2%
s 3
 
3.9%
D 2
 
2.6%
M 1
 
1.3%
S 1
 
1.3%
Other values (8) 8
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9610
56.9%
ASCII 7268
43.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2666
36.7%
1 571
 
7.9%
, 568
 
7.8%
) 476
 
6.5%
( 476
 
6.5%
2 403
 
5.5%
3 402
 
5.5%
0 365
 
5.0%
5 232
 
3.2%
7 210
 
2.9%
Other values (25) 899
 
12.4%
Hangul
ValueCountFrequency (%)
동 751
 
7.8%
천 578
 
6.0%
인 557
 
5.8%
구 529
 
5.5%
로 497
 
5.2%
호 313
 
3.3%
시 291
 
3.0%
광 289
 
3.0%
역 277
 
2.9%
부 206
 
2.1%
Other values (305) 5322
55.4%
None
ValueCountFrequency (%)
　 1
100.0%

등록일자
Date

Distinct461
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum1979-11-02 00:00:00
Maximum2022-09-14 00:00:00
2023-12-13T05:26:11.353018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:26:11.511735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-13T05:26:05.607600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:26:05.443320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:26:05.698714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:26:05.524226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:26:11.616364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번등록번호
순번1.0000.605
등록번호0.6051.000
2023-12-13T05:26:11.729721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번등록번호
순번1.000-0.863
등록번호-0.8631.000

Missing values

2023-12-13T05:26:05.802554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:26:05.907460image/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.
2023-12-13T05:26:05.992015image/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

순번등록번호상호대표자전화번호팩스번호주소등록일자
01320462거산이앤지서동수032-715-8416032-715-8417인천광역시 남동구 인주대로 683, 302호(구월동)2022-09-14
12320463주식회사 트인아이엔티손성용032-715-7200032-715-8292인천광역시 미추홀구 학익소로 6-8, 5층(학익동)2022-09-14
23320461은오아이티전재식032-937-4425032-504-0404인천광역시 강화군 길상면 해안남로 781, 1층2022-09-05
34320460네오테크 주식회사(NEOTECH Co., Ltd)홍지호032-502-94490303-3445-9449인천광역시 남동구 남동대로916번길 23, 태화오피스텔 807호(간석동)2022-08-23
45320459주식회사 호성신원아032-889-04040328-8788-8802인천광역시 중구 제물량로 35(신흥동3가)2022-08-19
56320458주식회사 해찬시스템김희선032-575-0630032-574-0630인천광역시 부평구 백범로577번길 20, 경인센타 공장동 526호(십정동)2022-08-16
67320457주식회사 에스지옵티컬황재훈032-285-7100032-285-7005인천광역시 부평구 평천로255번길 13, 302호(청천동)2022-08-04
78320456티.비.티. 주식회사류성현032-552-1941032-552-1944인천광역시 계양구 서운산단로4길 10(서운동)2022-07-28
89320455주식회사 오케이시스템신동해1599-6381-0000032-431-6380인천광역시 남동구 남촌로 118, 2층(남촌동)2022-07-22
910320454주식회사 삼보이에프임정상032-434-2584032-434-2584인천광역시 남동구 호구포로 50, 812-1호(고잔동)2022-07-05
순번등록번호상호대표자전화번호팩스번호주소등록일자
492493111222한국전기통신(주)지정식032-579-2233032-579-2237인천 서구 가정로77번길 50-10 , (가좌동)1991-03-25
493494110188에스유앤텔레콤 주식회사안경자070-4896-5505050-5304-2020인천 강화군 강화읍 강화대로 429, 다동 06호1991-03-07
494495110344(주)유일통신김경현032-568-0092032-437-5113인천 남동구 인하로 497-28 , 10층 1007호 (구월동)1990-01-23
495496111413인천전기통신(주)신원진032-426-9999032-426-9966인천 남동구 인주대로518번길 28-18 , (구월동)1990-01-23
496497110447진흥기업(주)박상신02-772-120002-776-9678인천 연수구 컨벤시아대로 69 , 8층 807호 (송도동)1984-04-06
497498120272(주)명가씨앤씨이동원032-525-1000032-524-1000인천광역시 남동구 남동대로 780 (구월동)1984-03-02
498499110212디엘건설 주식회사(DL Construction Co., Ltd.)조남창02-2170-590302-2170-5909인천광역시 남동구 미래로 14, 일류빌딩 (구월동)1980-03-26
499500110061(주)한양김형일02-721-876602-721-8489인천 남동구 미래로 14, 일류빌딩(구월동)1980-03-26
500501110307(합)동양통신최필규032-522-1414032-529-1414인천광역시 부평구 부평대로 139(부평동)1979-11-10
501502110364(주)휴니드테크놀러지스신종석032-457-617402-798-8337인천광역시 연수구 벤처로 87 (송도동)1979-11-02