Overview

Dataset statistics

Number of variables8
Number of observations505
Missing cells107
Missing cells (%)2.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.2 KiB
Average record size in memory65.3 B

Variable types

Numeric1
Text6
DateTime1

Dataset

Description해당 데이터는 인천광역시 남동구의 공장등록현황에 관련된 자료로서, 인천광역시 남동구 공장등록현황의 연번,단지명, 회사명,공장대표주소(도로명),생산품,업종명,데이터기준일자의 정보를 확인할 수 있다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=3078715&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 22 (4.4%) missing valuesMissing
팩스번호 has 80 (15.8%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2024-03-18 03:43:47.681808
Analysis finished2024-03-18 03:43:48.563758
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct505
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean253
Minimum1
Maximum505
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-03-18T12:43:48.628673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile26.2
Q1127
median253
Q3379
95-th percentile479.8
Maximum505
Range504
Interquartile range (IQR)252

Descriptive statistics

Standard deviation145.92521
Coefficient of variation (CV)0.57677948
Kurtosis-1.2
Mean253
Median Absolute Deviation (MAD)126
Skewness0
Sum127765
Variance21294.167
MonotonicityStrictly increasing
2024-03-18T12:43:48.994994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
333 1
 
0.2%
346 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%
Other values (495) 495
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 (%)
505 1
0.2%
504 1
0.2%
503 1
0.2%
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%

회사명
Text

Distinct499
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-03-18T12:43:49.202051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length6.5366337
Min length2

Characters and Unicode

Total characters3301
Distinct characters384
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique493 ?
Unique (%)97.6%

Sample

1st row(사)행복일자리등록본부 스마트그린사업단
2nd row(주)21세기금속
3rd row(주)강산티씨엠
4th row(주)경산업
5th row(주)경신광고
ValueCountFrequency (%)
주식회사 28
 
5.1%
르이 3
 
0.5%
대성정밀 2
 
0.4%
태영에너지 2
 
0.4%
주)이언시스템 2
 
0.4%
㈜에이치디메탈 2
 
0.4%
퐁듀크라상 2
 
0.4%
에스지금속(주 1
 
0.2%
에이원 1
 
0.2%
아토스페이퍼텍 1
 
0.2%
Other values (503) 503
92.0%
2024-03-18T12:43:49.553372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 236
 
7.1%
) 193
 
5.8%
( 193
 
5.8%
이 125
 
3.8%
스 97
 
2.9%
에 67
 
2.0%
업 53
 
1.6%
크 52
 
1.6%
지 52
 
1.6%
사 52
 
1.6%
Other values (374) 2181
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2760
83.6%
Close Punctuation 193
 
5.8%
Open Punctuation 193
 
5.8%
Uppercase Letter 54
 
1.6%
Other Symbol 42
 
1.3%
Space Separator 42
 
1.3%
Decimal Number 6
 
0.2%
Lowercase Letter 6
 
0.2%
Other Punctuation 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 236
 
8.6%
이 125
 
4.5%
스 97
 
3.5%
에 67
 
2.4%
업 53
 
1.9%
크 52
 
1.9%
지 52
 
1.9%
사 52
 
1.9%
산 44
 
1.6%
정 43
 
1.6%
Other values (340) 1939
70.3%
Uppercase Letter
ValueCountFrequency (%)
T 7
13.0%
S 6
11.1%
N 6
11.1%
E 5
 
9.3%
O 4
 
7.4%
C 3
 
5.6%
L 3
 
5.6%
M 2
 
3.7%
W 2
 
3.7%
H 2
 
3.7%
Other values (9) 14
25.9%
Lowercase Letter
ValueCountFrequency (%)
i 1
16.7%
n 1
16.7%
t 1
16.7%
e 1
16.7%
c 1
16.7%
h 1
16.7%
Decimal Number
ValueCountFrequency (%)
1 3
50.0%
2 2
33.3%
9 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
. 4
80.0%
& 1
 
20.0%
Close Punctuation
ValueCountFrequency (%)
) 193
100.0%
Open Punctuation
ValueCountFrequency (%)
( 193
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 42
100.0%
Space Separator
ValueCountFrequency (%)
42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2800
84.8%
Common 439
 
13.3%
Latin 60
 
1.8%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 236
 
8.4%
이 125
 
4.5%
스 97
 
3.5%
에 67
 
2.4%
업 53
 
1.9%
크 52
 
1.9%
지 52
 
1.9%
사 52
 
1.9%
산 44
 
1.6%
정 43
 
1.5%
Other values (339) 1979
70.7%
Latin
ValueCountFrequency (%)
T 7
 
11.7%
S 6
 
10.0%
N 6
 
10.0%
E 5
 
8.3%
O 4
 
6.7%
C 3
 
5.0%
L 3
 
5.0%
M 2
 
3.3%
W 2
 
3.3%
H 2
 
3.3%
Other values (15) 20
33.3%
Common
ValueCountFrequency (%)
) 193
44.0%
( 193
44.0%
42
 
9.6%
. 4
 
0.9%
1 3
 
0.7%
2 2
 
0.5%
& 1
 
0.2%
9 1
 
0.2%
Han
ValueCountFrequency (%)
李 1
50.0%
建 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2758
83.6%
ASCII 499
 
15.1%
None 42
 
1.3%
CJK Compat Ideographs 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 236
 
8.6%
이 125
 
4.5%
스 97
 
3.5%
에 67
 
2.4%
업 53
 
1.9%
크 52
 
1.9%
지 52
 
1.9%
사 52
 
1.9%
산 44
 
1.6%
정 43
 
1.6%
Other values (338) 1937
70.2%
ASCII
ValueCountFrequency (%)
) 193
38.7%
( 193
38.7%
42
 
8.4%
T 7
 
1.4%
S 6
 
1.2%
N 6
 
1.2%
E 5
 
1.0%
O 4
 
0.8%
. 4
 
0.8%
C 3
 
0.6%
Other values (23) 36
 
7.2%
None
ValueCountFrequency (%)
㈜ 42
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
李 1
100.0%
CJK
ValueCountFrequency (%)
建 1
100.0%

공장대표주소
Text

Distinct493
Distinct (%)98.6%
Missing5
Missing (%)1.0%
Memory size4.1 KiB
2024-03-18T12:43:49.853474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length47
Mean length31.502
Min length21

Characters and Unicode

Total characters15751
Distinct characters244
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique486 ?
Unique (%)97.2%

Sample

1st row인천광역시 남동구 논현로46번길 39-30, 1층 103호(논현동) 1층 103호
2nd row인천광역시 남동구 앵고개로697번길 40-20 (고잔동)
3rd row인천광역시 남동구 논현고잔로135번길 30-13, 2층 1호(고잔동)
4th row인천광역시 남동구 논고개로 325 (도림동)
5th row인천광역시 남동구 장승남로47번길 32-11 (만수동)
ValueCountFrequency (%)
인천광역시 500
 
16.9%
남동구 500
 
16.9%
고잔동 218
 
7.4%
간석동 90
 
3.0%
구월동 47
 
1.6%
고잔로 40
 
1.4%
2층 38
 
1.3%
1층 35
 
1.2%
청능대로468번길 31
 
1.1%
외 28
 
0.9%
Other values (661) 1425
48.3%
2024-03-18T12:43:50.249826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2452
 
15.6%
동 1089
 
6.9%
구 573
 
3.6%
인 531
 
3.4%
( 527
 
3.3%
) 527
 
3.3%
남 526
 
3.3%
광 508
 
3.2%
시 503
 
3.2%
천 501
 
3.2%
Other values (234) 8014
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9179
58.3%
Decimal Number 2486
 
15.8%
Space Separator 2452
 
15.6%
Open Punctuation 527
 
3.3%
Close Punctuation 527
 
3.3%
Other Punctuation 319
 
2.0%
Dash Punctuation 175
 
1.1%
Uppercase Letter 66
 
0.4%
Lowercase Letter 12
 
0.1%
Math Symbol 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1089
 
11.9%
구 573
 
6.2%
인 531
 
5.8%
남 526
 
5.7%
광 508
 
5.5%
시 503
 
5.5%
천 501
 
5.5%
역 500
 
5.4%
로 497
 
5.4%
고 445
 
4.8%
Other values (191) 3506
38.2%
Uppercase Letter
ValueCountFrequency (%)
A 14
21.2%
D 13
19.7%
B 10
15.2%
C 8
12.1%
O 4
 
6.1%
L 3
 
4.5%
N 3
 
4.5%
F 2
 
3.0%
S 2
 
3.0%
M 1
 
1.5%
Other values (6) 6
9.1%
Decimal Number
ValueCountFrequency (%)
1 491
19.8%
2 321
12.9%
4 310
12.5%
3 228
9.2%
8 226
9.1%
5 223
9.0%
6 187
 
7.5%
0 178
 
7.2%
7 166
 
6.7%
9 156
 
6.3%
Lowercase Letter
ValueCountFrequency (%)
c 2
16.7%
e 2
16.7%
a 1
8.3%
o 1
8.3%
n 1
8.3%
l 1
8.3%
i 1
8.3%
m 1
8.3%
h 1
8.3%
s 1
8.3%
Other Punctuation
ValueCountFrequency (%)
, 307
96.2%
. 12
 
3.8%
Space Separator
ValueCountFrequency (%)
2452
100.0%
Open Punctuation
ValueCountFrequency (%)
( 527
100.0%
Close Punctuation
ValueCountFrequency (%)
) 527
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 175
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9179
58.3%
Common 6494
41.2%
Latin 78
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1089
 
11.9%
구 573
 
6.2%
인 531
 
5.8%
남 526
 
5.7%
광 508
 
5.5%
시 503
 
5.5%
천 501
 
5.5%
역 500
 
5.4%
로 497
 
5.4%
고 445
 
4.8%
Other values (191) 3506
38.2%
Latin
ValueCountFrequency (%)
A 14
17.9%
D 13
16.7%
B 10
12.8%
C 8
10.3%
O 4
 
5.1%
L 3
 
3.8%
N 3
 
3.8%
F 2
 
2.6%
c 2
 
2.6%
e 2
 
2.6%
Other values (16) 17
21.8%
Common
ValueCountFrequency (%)
2452
37.8%
( 527
 
8.1%
) 527
 
8.1%
1 491
 
7.6%
2 321
 
4.9%
4 310
 
4.8%
, 307
 
4.7%
3 228
 
3.5%
8 226
 
3.5%
5 223
 
3.4%
Other values (7) 882
 
13.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9179
58.3%
ASCII 6572
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2452
37.3%
( 527
 
8.0%
) 527
 
8.0%
1 491
 
7.5%
2 321
 
4.9%
4 310
 
4.7%
, 307
 
4.7%
3 228
 
3.5%
8 226
 
3.4%
5 223
 
3.4%
Other values (33) 960
 
14.6%
Hangul
ValueCountFrequency (%)
동 1089
 
11.9%
구 573
 
6.2%
인 531
 
5.8%
남 526
 
5.7%
광 508
 
5.5%
시 503
 
5.5%
천 501
 
5.5%
역 500
 
5.4%
로 497
 
5.4%
고 445
 
4.8%
Other values (191) 3506
38.2%

전화번호
Text

MISSING 

Distinct464
Distinct (%)96.1%
Missing22
Missing (%)4.4%
Memory size4.1 KiB
2024-03-18T12:43:50.486867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.031056
Min length11

Characters and Unicode

Total characters5811
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

Unique448 ?
Unique (%)92.8%

Sample

1st row032-441-9114
2nd row032-874-4896
3rd row032-441-0380
4th row032-468-8811
5th row032-446-9329
ValueCountFrequency (%)
02-2237-4077 3
 
0.6%
032-585-2150 3
 
0.6%
032-505-8775 3
 
0.6%
032-514-2581 2
 
0.4%
032-446-2570 2
 
0.4%
032-876-6142 2
 
0.4%
032-872-0344 2
 
0.4%
032-442-2440 2
 
0.4%
032-815-0522 2
 
0.4%
032-446-3730 2
 
0.4%
Other values (454) 460
95.2%
2024-03-18T12:43:50.858304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 966
16.6%
0 827
14.2%
2 797
13.7%
3 739
12.7%
4 563
9.7%
1 403
6.9%
6 364
 
6.3%
8 355
 
6.1%
5 332
 
5.7%
7 298
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4845
83.4%
Dash Punctuation 966
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 827
17.1%
2 797
16.4%
3 739
15.3%
4 563
11.6%
1 403
8.3%
6 364
7.5%
8 355
7.3%
5 332
6.9%
7 298
 
6.2%
9 167
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 966
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5811
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 966
16.6%
0 827
14.2%
2 797
13.7%
3 739
12.7%
4 563
9.7%
1 403
6.9%
6 364
 
6.3%
8 355
 
6.1%
5 332
 
5.7%
7 298
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5811
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 966
16.6%
0 827
14.2%
2 797
13.7%
3 739
12.7%
4 563
9.7%
1 403
6.9%
6 364
 
6.3%
8 355
 
6.1%
5 332
 
5.7%
7 298
 
5.1%

팩스번호
Text

MISSING 

Distinct405
Distinct (%)95.3%
Missing80
Missing (%)15.8%
Memory size4.1 KiB
2024-03-18T12:43:51.059062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.035294
Min length11

Characters and Unicode

Total characters5115
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

Unique389 ?
Unique (%)91.5%

Sample

1st row032-441-9115
2nd row032-874-4896
3rd row032-813-0390
4th row032-468-8814
5th row032-446-9322
ValueCountFrequency (%)
032-508-8775 4
 
0.9%
032-446-3736 3
 
0.7%
032-574-0388 3
 
0.7%
032-818-0764 2
 
0.5%
032-463-0300 2
 
0.5%
032-872-0343 2
 
0.5%
032-428-5972 2
 
0.5%
032-514-2582 2
 
0.5%
032-469-4329 2
 
0.5%
0502-472-2200 2
 
0.5%
Other values (395) 401
94.4%
2024-03-18T12:43:51.394960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 850
16.6%
2 731
14.3%
0 688
13.5%
3 654
12.8%
4 511
10.0%
1 323
 
6.3%
6 313
 
6.1%
8 310
 
6.1%
5 300
 
5.9%
7 265
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4265
83.4%
Dash Punctuation 850
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 731
17.1%
0 688
16.1%
3 654
15.3%
4 511
12.0%
1 323
7.6%
6 313
7.3%
8 310
7.3%
5 300
7.0%
7 265
 
6.2%
9 170
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 850
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5115
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 850
16.6%
2 731
14.3%
0 688
13.5%
3 654
12.8%
4 511
10.0%
1 323
 
6.3%
6 313
 
6.1%
8 310
 
6.1%
5 300
 
5.9%
7 265
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5115
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 850
16.6%
2 731
14.3%
0 688
13.5%
3 654
12.8%
4 511
10.0%
1 323
 
6.3%
6 313
 
6.1%
8 310
 
6.1%
5 300
 
5.9%
7 265
 
5.2%

생산품
Text

Distinct466
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-03-18T12:43:51.639168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length24
Mean length8.560396
Min length2

Characters and Unicode

Total characters4323
Distinct characters431
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique450 ?
Unique (%)89.1%

Sample

1st row배전반
2nd row스프링클러헤드용 휴즈메탈, 운반고리
3rd row보건용 마스크
4th rowAl절단 및 조립
5th row광고물
ValueCountFrequency (%)
등 31
 
3.3%
부품 22
 
2.4%
및 22
 
2.4%
금형 12
 
1.3%
기계부품 11
 
1.2%
화장품 10
 
1.1%
외 9
 
1.0%
자동차부품 8
 
0.9%
전자부품 8
 
0.9%
레미콘 6
 
0.6%
Other values (679) 790
85.0%
2024-03-18T12:43:52.006131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
424
 
9.8%
기 208
 
4.8%
, 176
 
4.1%
품 152
 
3.5%
부 101
 
2.3%
자 89
 
2.1%
스 81
 
1.9%
장 78
 
1.8%
전 77
 
1.8%
금 65
 
1.5%
Other values (421) 2872
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3412
78.9%
Space Separator 424
 
9.8%
Other Punctuation 193
 
4.5%
Uppercase Letter 183
 
4.2%
Lowercase Letter 53
 
1.2%
Open Punctuation 29
 
0.7%
Close Punctuation 29
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 208
 
6.1%
품 152
 
4.5%
부 101
 
3.0%
자 89
 
2.6%
스 81
 
2.4%
장 78
 
2.3%
전 77
 
2.3%
금 65
 
1.9%
형 56
 
1.6%
용 55
 
1.6%
Other values (372) 2450
71.8%
Uppercase Letter
ValueCountFrequency (%)
C 24
13.1%
D 18
9.8%
L 18
9.8%
E 16
8.7%
T 15
 
8.2%
P 12
 
6.6%
A 11
 
6.0%
O 10
 
5.5%
V 10
 
5.5%
S 10
 
5.5%
Other values (13) 39
21.3%
Lowercase Letter
ValueCountFrequency (%)
e 7
13.2%
l 6
11.3%
c 5
9.4%
r 5
9.4%
a 4
 
7.5%
v 3
 
5.7%
t 3
 
5.7%
b 3
 
5.7%
i 3
 
5.7%
n 2
 
3.8%
Other values (9) 12
22.6%
Other Punctuation
ValueCountFrequency (%)
, 176
91.2%
. 11
 
5.7%
/ 4
 
2.1%
' 2
 
1.0%
Space Separator
ValueCountFrequency (%)
424
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3412
78.9%
Common 675
 
15.6%
Latin 236
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 208
 
6.1%
품 152
 
4.5%
부 101
 
3.0%
자 89
 
2.6%
스 81
 
2.4%
장 78
 
2.3%
전 77
 
2.3%
금 65
 
1.9%
형 56
 
1.6%
용 55
 
1.6%
Other values (372) 2450
71.8%
Latin
ValueCountFrequency (%)
C 24
 
10.2%
D 18
 
7.6%
L 18
 
7.6%
E 16
 
6.8%
T 15
 
6.4%
P 12
 
5.1%
A 11
 
4.7%
O 10
 
4.2%
V 10
 
4.2%
S 10
 
4.2%
Other values (32) 92
39.0%
Common
ValueCountFrequency (%)
424
62.8%
, 176
26.1%
( 29
 
4.3%
) 29
 
4.3%
. 11
 
1.6%
/ 4
 
0.6%
' 2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3412
78.9%
ASCII 911
 
21.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
424
46.5%
, 176
19.3%
( 29
 
3.2%
) 29
 
3.2%
C 24
 
2.6%
D 18
 
2.0%
L 18
 
2.0%
E 16
 
1.8%
T 15
 
1.6%
P 12
 
1.3%
Other values (39) 150
 
16.5%
Hangul
ValueCountFrequency (%)
기 208
 
6.1%
품 152
 
4.5%
부 101
 
3.0%
자 89
 
2.6%
스 81
 
2.4%
장 78
 
2.3%
전 77
 
2.3%
금 65
 
1.9%
형 56
 
1.6%
용 55
 
1.6%
Other values (372) 2450
71.8%

업종명
Text

Distinct262
Distinct (%)51.9%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-03-18T12:43:52.261456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length16.477228
Min length3

Characters and Unicode

Total characters8321
Distinct characters258
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique175 ?
Unique (%)34.7%

Sample

1st row기타 비철금속 제련, 정련 및 합금 제조업
2nd row금속 문, 창, 셔터 및 관련제품 제조업
3rd row간판 및 광고물 제조업
4th row금속 절삭기계 제조업
5th row전자 응용 절삭기계 제조업
ValueCountFrequency (%)
제조업 444
 
17.5%
외 256
 
10.1%
및 233
 
9.2%
기타 130
 
5.1%
1종 119
 
4.7%
그 58
 
2.3%
금속 55
 
2.2%
2종 32
 
1.3%
전기 28
 
1.1%
주형 27
 
1.1%
Other values (325) 1153
45.5%
2024-03-18T12:43:52.672500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2030
24.4%
제 574
 
6.9%
업 522
 
6.3%
조 508
 
6.1%
기 312
 
3.7%
외 258
 
3.1%
및 233
 
2.8%
종 202
 
2.4%
품 145
 
1.7%
타 132
 
1.6%
Other values (248) 3405
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6001
72.1%
Space Separator 2030
 
24.4%
Decimal Number 208
 
2.5%
Other Punctuation 78
 
0.9%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 574
 
9.6%
업 522
 
8.7%
조 508
 
8.5%
기 312
 
5.2%
외 258
 
4.3%
및 233
 
3.9%
종 202
 
3.4%
품 145
 
2.4%
타 132
 
2.2%
용 127
 
2.1%
Other values (234) 2988
49.8%
Decimal Number
ValueCountFrequency (%)
1 130
62.5%
2 34
 
16.3%
3 20
 
9.6%
5 8
 
3.8%
4 7
 
3.4%
9 3
 
1.4%
6 2
 
1.0%
7 2
 
1.0%
8 2
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 77
98.7%
. 1
 
1.3%
Space Separator
ValueCountFrequency (%)
2030
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6001
72.1%
Common 2320
 
27.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 574
 
9.6%
업 522
 
8.7%
조 508
 
8.5%
기 312
 
5.2%
외 258
 
4.3%
및 233
 
3.9%
종 202
 
3.4%
품 145
 
2.4%
타 132
 
2.2%
용 127
 
2.1%
Other values (234) 2988
49.8%
Common
ValueCountFrequency (%)
2030
87.5%
1 130
 
5.6%
, 77
 
3.3%
2 34
 
1.5%
3 20
 
0.9%
5 8
 
0.3%
4 7
 
0.3%
9 3
 
0.1%
6 2
 
0.1%
7 2
 
0.1%
Other values (4) 7
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5997
72.1%
ASCII 2320
 
27.9%
Compat Jamo 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2030
87.5%
1 130
 
5.6%
, 77
 
3.3%
2 34
 
1.5%
3 20
 
0.9%
5 8
 
0.3%
4 7
 
0.3%
9 3
 
0.1%
6 2
 
0.1%
7 2
 
0.1%
Other values (4) 7
 
0.3%
Hangul
ValueCountFrequency (%)
제 574
 
9.6%
업 522
 
8.7%
조 508
 
8.5%
기 312
 
5.2%
외 258
 
4.3%
및 233
 
3.9%
종 202
 
3.4%
품 145
 
2.4%
타 132
 
2.2%
용 127
 
2.1%
Other values (233) 2984
49.8%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum2023-09-11 00:00:00
Maximum2023-09-11 00:00:00
2024-03-18T12:43:52.798977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:43:52.901719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-18T12:43:48.235084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-18T12:43:48.326732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T12:43:48.420402image/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.
2024-03-18T12:43:48.516940image/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

순번회사명공장대표주소전화번호팩스번호생산품업종명데이터기준일자
01(사)행복일자리등록본부 스마트그린사업단인천광역시 남동구 논현로46번길 39-30, 1층 103호(논현동) 1층 103호<NA><NA>배전반기타 비철금속 제련, 정련 및 합금 제조업2023-09-11
12(주)21세기금속인천광역시 남동구 앵고개로697번길 40-20 (고잔동)032-441-9114032-441-9115스프링클러헤드용 휴즈메탈, 운반고리금속 문, 창, 셔터 및 관련제품 제조업2023-09-11
23(주)강산티씨엠인천광역시 남동구 논현고잔로135번길 30-13, 2층 1호(고잔동)032-874-4896032-874-4896보건용 마스크간판 및 광고물 제조업2023-09-11
34(주)경산업인천광역시 남동구 논고개로 325 (도림동)032-441-0380032-813-0390Al절단 및 조립금속 절삭기계 제조업2023-09-11
45(주)경신광고인천광역시 남동구 장승남로47번길 32-11 (만수동)032-468-8811032-468-8814광고물전자 응용 절삭기계 제조업2023-09-11
56(주)경은산업인천광역시 남동구 고잔로 88 (고잔동)032-446-9329032-446-9322금형부품, 전자부품스타킹 및 기타 양말 제조업2023-09-11
67(주)국제엔지니어링인천광역시 남동구 논현고잔로 127-25 (고잔동)032-435-8928032-435-8929방전가공기전자기기금속 문, 창, 셔터 및 관련제품 제조업2023-09-11
78(주)그린싹스인천광역시 남동구 구월로 247 (구월동)032-464-1707032-464-1708양말기타 목재가구 제조업2023-09-11
89(주)나래종합건축인천광역시 남동구 배려터로 20 (수산동)032-468-9945032-466-3314금속 창호 등산업용 로봇 제조업2023-09-11
910(주)나우로보틱스인천광역시 남동구 청능대로468번길 97-12 (고잔동)032-719-7040032-719-7041산업용 로봇부품주형 및 금형 제조업2023-09-11
순번회사명공장대표주소전화번호팩스번호생산품업종명데이터기준일자
495496한호전자인천광역시 남동구 경인로 744 (간석동, 한호빌딩)032-514-0813032-514-2239통신기기류(마이크,이어폰)사무 및 회화용품 제조업2023-09-11
496497합동금속인천광역시 남동구 앵고개로719번길 12 (고잔동, 유정산업) (총 2 필지) 외 1필지032-446-3730032-446-3736금속표면처리금속 절삭기계 제조업2023-09-11
497498헬사코리아(주)인천광역시 남동구 만월로 38, 1층 (간석동) (총 2 필지) 외 1필지032-507-1470032-507-1472필터운송장비 조립용 플라스틱제품 제조업 외 1종2023-09-11
498499현대정밀인천광역시 남동구 음실서로 3 (운연동)032-466-1585032-466-1587밴드히터절삭가공 및 유사처리업2023-09-11
499500홈톡스닷컴 주식회사인천광역시 남동구 선수촌공원로 5, 구월테크노밸리 씨동 607호 (구월동)032-425-2811032-425-2818공기정화기, 위생용품금속 위생용품 제조업2023-09-11
500501홍테크인천광역시 남동구 논현고잔로109번길 106, 222호(고잔동, 성강 G TOOLS)<NA>070-8691-2885캠핑화로근무복, 작업복 및 유사의복 제조업 외 3종2023-09-11
501502황해기계인천광역시 남동구 앵고개로697번길 124 (고잔동, 광해기계금속)032-446-6974032-446-6975기계부품도금접착제 및 젤라틴 제조업2023-09-11
502503효성전자인천광역시 남동구 논현고잔로54번길 44-7 (고잔동)032-434-9028032-435-9028엘리베이터전기부품자동차용 금속 압형제품 제조업2023-09-11
503504희원식물원인천광역시 남동구 청능대로484번길 36-17, 차동 (고잔동)032-466-5633<NA>목재화분금속 문, 창, 셔터 및 관련제품 제조업2023-09-11
504505李建STUD인천광역시 남동구 고잔로 47 (고잔동)032-811-5959<NA>자동차용 자동용접볼그 외 기타 특수목적용 기계 제조업 외 9종2023-09-11