Overview

Dataset statistics

Number of variables10
Number of observations8436
Missing cells16040
Missing cells (%)19.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory667.4 KiB
Average record size in memory81.0 B

Variable types

Numeric1
Text7
Categorical1
DateTime1

Dataset

Description인천광역시 남동구 기업지원홈페이지에 대한 데이터로 연번, 업체명, 소재지주소, 홈페이지, 주요생산품, 대표자, 연락처, 팩스번호, 담당부서, 데이터기준일자를 제공합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15087036&srcSe=7661IVAWM27C61E190

Alerts

담당부서 has constant value ""Constant
데이터기준일자 has constant value ""Constant
홈페이지 has 7551 (89.5%) missing valuesMissing
연락처 has 3222 (38.2%) missing valuesMissing
팩스번호 has 5215 (61.8%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-28 08:25:14.507602
Analysis finished2024-01-28 08:25:16.681245
Duration2.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct8436
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4218.5
Minimum1
Maximum8436
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.3 KiB
2024-01-28T17:25:16.742208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile422.75
Q12109.75
median4218.5
Q36327.25
95-th percentile8014.25
Maximum8436
Range8435
Interquartile range (IQR)4217.5

Descriptive statistics

Standard deviation2435.4078
Coefficient of variation (CV)0.57731605
Kurtosis-1.2
Mean4218.5
Median Absolute Deviation (MAD)2109
Skewness0
Sum35587266
Variance5931211
MonotonicityStrictly increasing
2024-01-28T17:25:16.846609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
5637 1
 
< 0.1%
5635 1
 
< 0.1%
5634 1
 
< 0.1%
5633 1
 
< 0.1%
5632 1
 
< 0.1%
5631 1
 
< 0.1%
5630 1
 
< 0.1%
5629 1
 
< 0.1%
5628 1
 
< 0.1%
Other values (8426) 8426
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
8436 1
< 0.1%
8435 1
< 0.1%
8434 1
< 0.1%
8433 1
< 0.1%
8432 1
< 0.1%
8431 1
< 0.1%
8430 1
< 0.1%
8429 1
< 0.1%
8428 1
< 0.1%
8427 1
< 0.1%

업체명
Text

Distinct7778
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size66.0 KiB
2024-01-28T17:25:17.092825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length21
Mean length6.877193
Min length1

Characters and Unicode

Total characters58016
Distinct characters821
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

Unique7174 ?
Unique (%)85.0%

Sample

1st row(주)한국주차관리공사
2nd row금강산업
3rd row한국자동기술산업(주)
4th row동남냉기
5th row(주)아세아볼트
ValueCountFrequency (%)
아모레카운셀러 21
 
0.2%
주 13
 
0.2%
누리건기 5
 
0.1%
원협공판장 4
 
< 0.1%
성진산업 4
 
< 0.1%
주식회사 4
 
< 0.1%
대성정밀 4
 
< 0.1%
대성산업 4
 
< 0.1%
보람물류 4
 
< 0.1%
동일중기 4
 
< 0.1%
Other values (7789) 8409
99.2%
2024-01-28T17:25:17.501627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 5055
 
8.7%
( 5000
 
8.6%
) 4999
 
8.6%
이 1918
 
3.3%
스 1524
 
2.6%
에 999
 
1.7%
업 757
 
1.3%
아 715
 
1.2%
인 645
 
1.1%
지 627
 
1.1%
Other values (811) 35777
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47297
81.5%
Open Punctuation 5001
 
8.6%
Close Punctuation 5001
 
8.6%
Uppercase Letter 385
 
0.7%
Lowercase Letter 168
 
0.3%
Decimal Number 72
 
0.1%
Space Separator 40
 
0.1%
Other Punctuation 39
 
0.1%
Dash Punctuation 9
 
< 0.1%
Other Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 5055
 
10.7%
이 1918
 
4.1%
스 1524
 
3.2%
에 999
 
2.1%
업 757
 
1.6%
아 715
 
1.5%
인 645
 
1.4%
지 627
 
1.3%
산 624
 
1.3%
리 618
 
1.3%
Other values (743) 33815
71.5%
Uppercase Letter
ValueCountFrequency (%)
E 39
 
10.1%
S 29
 
7.5%
N 29
 
7.5%
G 27
 
7.0%
T 26
 
6.8%
C 25
 
6.5%
M 22
 
5.7%
P 20
 
5.2%
A 18
 
4.7%
K 16
 
4.2%
Other values (15) 134
34.8%
Lowercase Letter
ValueCountFrequency (%)
e 23
13.7%
a 20
11.9%
r 14
 
8.3%
n 12
 
7.1%
t 12
 
7.1%
o 12
 
7.1%
i 10
 
6.0%
l 9
 
5.4%
c 7
 
4.2%
s 7
 
4.2%
Other values (11) 42
25.0%
Decimal Number
ValueCountFrequency (%)
2 19
26.4%
1 16
22.2%
7 10
13.9%
3 6
 
8.3%
8 6
 
8.3%
5 5
 
6.9%
0 4
 
5.6%
9 3
 
4.2%
6 2
 
2.8%
4 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
. 34
87.2%
& 3
 
7.7%
, 1
 
2.6%
' 1
 
2.6%
Open Punctuation
ValueCountFrequency (%)
( 5000
> 99.9%
（ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 4999
> 99.9%
） 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47300
81.5%
Common 10163
 
17.5%
Latin 553
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 5055
 
10.7%
이 1918
 
4.1%
스 1524
 
3.2%
에 999
 
2.1%
업 757
 
1.6%
아 715
 
1.5%
인 645
 
1.4%
지 627
 
1.3%
산 624
 
1.3%
리 618
 
1.3%
Other values (744) 33818
71.5%
Latin
ValueCountFrequency (%)
E 39
 
7.1%
S 29
 
5.2%
N 29
 
5.2%
G 27
 
4.9%
T 26
 
4.7%
C 25
 
4.5%
e 23
 
4.2%
M 22
 
4.0%
a 20
 
3.6%
P 20
 
3.6%
Other values (36) 293
53.0%
Common
ValueCountFrequency (%)
( 5000
49.2%
) 4999
49.2%
40
 
0.4%
. 34
 
0.3%
2 19
 
0.2%
1 16
 
0.2%
7 10
 
0.1%
- 9
 
0.1%
3 6
 
0.1%
8 6
 
0.1%
Other values (11) 24
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47297
81.5%
ASCII 10713
 
18.5%
None 6
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 5055
 
10.7%
이 1918
 
4.1%
스 1524
 
3.2%
에 999
 
2.1%
업 757
 
1.6%
아 715
 
1.5%
인 645
 
1.4%
지 627
 
1.3%
산 624
 
1.3%
리 618
 
1.3%
Other values (743) 33815
71.5%
ASCII
ValueCountFrequency (%)
( 5000
46.7%
) 4999
46.7%
40
 
0.4%
E 39
 
0.4%
. 34
 
0.3%
S 29
 
0.3%
N 29
 
0.3%
G 27
 
0.3%
T 26
 
0.2%
C 25
 
0.2%
Other values (55) 465
 
4.3%
None
ValueCountFrequency (%)
㈜ 3
50.0%
） 2
33.3%
（ 1
 
16.7%

소재지주소
Text

Distinct6537
Distinct (%)77.6%
Missing16
Missing (%)0.2%
Memory size66.0 KiB
2024-01-28T17:25:17.747879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length45
Mean length20.589786
Min length10

Characters and Unicode

Total characters173366
Distinct characters314
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

Unique5252 ?
Unique (%)62.4%

Sample

1st row인천 남동구 구월남로 120, 4층
2nd row인천 남동구 고잔로15번길 10
3rd row인천 남동구 남동동로 155
4th row인천 남동구 담방로 105, 806동 112호
5th row인천 남동구 청능대로389번길 25
ValueCountFrequency (%)
남동구 8385
21.1%
인천 8381
21.1%
남동공단 589
 
1.5%
2층 351
 
0.9%
1층 314
 
0.8%
남동대로 295
 
0.7%
호구포로 257
 
0.6%
3층 241
 
0.6%
은청로 213
 
0.5%
인주대로 190
 
0.5%
Other values (3075) 20471
51.6%
2024-01-28T17:25:18.155609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31267
18.0%
동 12469
 
7.2%
남 11150
 
6.4%
구 9258
 
5.3%
인 9056
 
5.2%
천 8654
 
5.0%
로 8409
 
4.9%
1 8361
 
4.8%
2 5879
 
3.4%
3 5167
 
3.0%
Other values (304) 63696
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 91664
52.9%
Decimal Number 44009
25.4%
Space Separator 31267
 
18.0%
Other Punctuation 4429
 
2.6%
Dash Punctuation 1377
 
0.8%
Uppercase Letter 439
 
0.3%
Open Punctuation 88
 
0.1%
Close Punctuation 86
 
< 0.1%
Lowercase Letter 4
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 12469
13.6%
남 11150
12.2%
구 9258
10.1%
인 9056
9.9%
천 8654
9.4%
로 8409
9.2%
길 4333
 
4.7%
번 4330
 
4.7%
호 3123
 
3.4%
대 1995
 
2.2%
Other values (267) 18887
20.6%
Uppercase Letter
ValueCountFrequency (%)
B 173
39.4%
A 140
31.9%
D 51
 
11.6%
C 31
 
7.1%
L 19
 
4.3%
T 6
 
1.4%
E 4
 
0.9%
G 3
 
0.7%
K 3
 
0.7%
F 2
 
0.5%
Other values (6) 7
 
1.6%
Decimal Number
ValueCountFrequency (%)
1 8361
19.0%
2 5879
13.4%
3 5167
11.7%
0 4761
10.8%
4 4671
10.6%
5 3919
8.9%
6 3296
 
7.5%
7 2926
 
6.6%
8 2589
 
5.9%
9 2440
 
5.5%
Lowercase Letter
ValueCountFrequency (%)
c 1
25.0%
t 1
25.0%
k 1
25.0%
a 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 4422
99.8%
. 7
 
0.2%
Space Separator
ValueCountFrequency (%)
31267
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1377
100.0%
Open Punctuation
ValueCountFrequency (%)
( 88
100.0%
Close Punctuation
ValueCountFrequency (%)
) 86
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 91664
52.9%
Common 81259
46.9%
Latin 443
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 12469
13.6%
남 11150
12.2%
구 9258
10.1%
인 9056
9.9%
천 8654
9.4%
로 8409
9.2%
길 4333
 
4.7%
번 4330
 
4.7%
호 3123
 
3.4%
대 1995
 
2.2%
Other values (267) 18887
20.6%
Latin
ValueCountFrequency (%)
B 173
39.1%
A 140
31.6%
D 51
 
11.5%
C 31
 
7.0%
L 19
 
4.3%
T 6
 
1.4%
E 4
 
0.9%
G 3
 
0.7%
K 3
 
0.7%
F 2
 
0.5%
Other values (10) 11
 
2.5%
Common
ValueCountFrequency (%)
31267
38.5%
1 8361
 
10.3%
2 5879
 
7.2%
3 5167
 
6.4%
0 4761
 
5.9%
4 4671
 
5.7%
, 4422
 
5.4%
5 3919
 
4.8%
6 3296
 
4.1%
7 2926
 
3.6%
Other values (7) 6590
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 91664
52.9%
ASCII 81702
47.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31267
38.3%
1 8361
 
10.2%
2 5879
 
7.2%
3 5167
 
6.3%
0 4761
 
5.8%
4 4671
 
5.7%
, 4422
 
5.4%
5 3919
 
4.8%
6 3296
 
4.0%
7 2926
 
3.6%
Other values (27) 7033
 
8.6%
Hangul
ValueCountFrequency (%)
동 12469
13.6%
남 11150
12.2%
구 9258
10.1%
인 9056
9.9%
천 8654
9.4%
로 8409
9.2%
길 4333
 
4.7%
번 4330
 
4.7%
호 3123
 
3.4%
대 1995
 
2.2%
Other values (267) 18887
20.6%

홈페이지
Text

MISSING 

Distinct875
Distinct (%)98.9%
Missing7551
Missing (%)89.5%
Memory size66.0 KiB
2024-01-28T17:25:18.380516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length17.259887
Min length6

Characters and Unicode

Total characters15275
Distinct characters111
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

Unique866 ?
Unique (%)97.9%

Sample

1st rowhttp://auto1st.co.kr
2nd rowwww.asiabolt.co.kr
3rd rowwww.mocamold.co.kr
4th rowhttp://www.bmveltix.com
5th rowwww.nsrod.co.kr
ValueCountFrequency (%)
www.youseung.co.kr 3
 
0.3%
http://www.ebulkorea.co.kr 2
 
0.2%
www.ilya.co.kr 2
 
0.2%
www.dmfit.com 2
 
0.2%
www.jmft.co.kr 2
 
0.2%
www.qjen.co.kr 2
 
0.2%
www.jetmill.co.kr 2
 
0.2%
www.e-during.co.kr 2
 
0.2%
www.dsdemister.com 2
 
0.2%
www.bosanhitech.com 1
 
0.1%
Other values (865) 865
97.7%
2024-01-28T17:25:18.728489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 2316
15.2%
. 2127
13.9%
o 1356
 
8.9%
c 1142
 
7.5%
r 859
 
5.6%
k 711
 
4.7%
e 692
 
4.5%
m 639
 
4.2%
t 618
 
4.0%
a 567
 
3.7%
Other values (101) 4248
27.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 12501
81.8%
Other Punctuation 2487
 
16.3%
Decimal Number 140
 
0.9%
Other Letter 68
 
0.4%
Dash Punctuation 60
 
0.4%
Uppercase Letter 18
 
0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 5
 
7.4%
이 4
 
5.9%
성 2
 
2.9%
오 2
 
2.9%
푸 2
 
2.9%
아 1
 
1.5%
가 1
 
1.5%
름 1
 
1.5%
늘 1
 
1.5%
나 1
 
1.5%
Other values (48) 48
70.6%
Lowercase Letter
ValueCountFrequency (%)
w 2316
18.5%
o 1356
10.8%
c 1142
 
9.1%
r 859
 
6.9%
k 711
 
5.7%
e 692
 
5.5%
m 639
 
5.1%
t 618
 
4.9%
a 567
 
4.5%
n 553
 
4.4%
Other values (16) 3048
24.4%
Uppercase Letter
ValueCountFrequency (%)
W 6
33.3%
E 2
 
11.1%
O 1
 
5.6%
Q 1
 
5.6%
M 1
 
5.6%
C 1
 
5.6%
P 1
 
5.6%
G 1
 
5.6%
R 1
 
5.6%
N 1
 
5.6%
Other values (2) 2
 
11.1%
Decimal Number
ValueCountFrequency (%)
2 31
22.1%
1 29
20.7%
8 18
12.9%
0 16
11.4%
4 15
10.7%
9 11
 
7.9%
7 9
 
6.4%
3 5
 
3.6%
6 4
 
2.9%
5 2
 
1.4%
Other Punctuation
ValueCountFrequency (%)
. 2127
85.5%
/ 251
 
10.1%
: 109
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12519
82.0%
Common 2688
 
17.6%
Hangul 68
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 5
 
7.4%
이 4
 
5.9%
성 2
 
2.9%
오 2
 
2.9%
푸 2
 
2.9%
아 1
 
1.5%
가 1
 
1.5%
름 1
 
1.5%
늘 1
 
1.5%
나 1
 
1.5%
Other values (48) 48
70.6%
Latin
ValueCountFrequency (%)
w 2316
18.5%
o 1356
10.8%
c 1142
 
9.1%
r 859
 
6.9%
k 711
 
5.7%
e 692
 
5.5%
m 639
 
5.1%
t 618
 
4.9%
a 567
 
4.5%
n 553
 
4.4%
Other values (28) 3066
24.5%
Common
ValueCountFrequency (%)
. 2127
79.1%
/ 251
 
9.3%
: 109
 
4.1%
- 60
 
2.2%
2 31
 
1.2%
1 29
 
1.1%
8 18
 
0.7%
0 16
 
0.6%
4 15
 
0.6%
9 11
 
0.4%
Other values (5) 21
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15207
99.6%
Hangul 68
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 2316
15.2%
. 2127
14.0%
o 1356
 
8.9%
c 1142
 
7.5%
r 859
 
5.6%
k 711
 
4.7%
e 692
 
4.6%
m 639
 
4.2%
t 618
 
4.1%
a 567
 
3.7%
Other values (43) 4180
27.5%
Hangul
ValueCountFrequency (%)
기 5
 
7.4%
이 4
 
5.9%
성 2
 
2.9%
오 2
 
2.9%
푸 2
 
2.9%
아 1
 
1.5%
가 1
 
1.5%
름 1
 
1.5%
늘 1
 
1.5%
나 1
 
1.5%
Other values (48) 48
70.6%

주요생산품
Text

Distinct5532
Distinct (%)65.8%
Missing25
Missing (%)0.3%
Memory size66.0 KiB
2024-01-28T17:25:18.945888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length97
Median length67
Mean length13.382119
Min length1

Characters and Unicode

Total characters112557
Distinct characters772
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4624 ?
Unique (%)55.0%

Sample

1st row일반화물자동차 운송
2nd row주형,금형제조
3rd row자동화설비(산업처리공정 제어장비,재료자동풀림장치,자동권취기,스크랩흡입기,자동화설비,와인더),고속프레스 제조
4th row냉동기설치공사
5th row볼트,철물,조립금속제품 제조
ValueCountFrequency (%)
제조 2225
 
13.0%
도매 633
 
3.7%
임대 490
 
2.9%
도소매 352
 
2.0%
부동산 212
 
1.2%
소매 154
 
0.9%
전자부품 151
 
0.9%
제조/부동산 146
 
0.8%
제조,도소매 116
 
0.7%
화장품 113
 
0.7%
Other values (6611) 12589
73.3%
2024-01-28T17:25:19.303972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8770
 
7.8%
, 7622
 
6.8%
제 4644
 
4.1%
조 4290
 
3.8%
기 3412
 
3.0%
품 2801
 
2.5%
도 2686
 
2.4%
매 2427
 
2.2%
공 2388
 
2.1%
부 2121
 
1.9%
Other values (762) 71396
63.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 90719
80.6%
Other Punctuation 9490
 
8.4%
Space Separator 8770
 
7.8%
Uppercase Letter 1266
 
1.1%
Close Punctuation 993
 
0.9%
Open Punctuation 993
 
0.9%
Lowercase Letter 259
 
0.2%
Decimal Number 62
 
0.1%
Dash Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 4644
 
5.1%
조 4290
 
4.7%
기 3412
 
3.8%
품 2801
 
3.1%
도 2686
 
3.0%
매 2427
 
2.7%
공 2388
 
2.6%
부 2121
 
2.3%
자 1938
 
2.1%
사 1815
 
2.0%
Other values (692) 62197
68.6%
Uppercase Letter
ValueCountFrequency (%)
C 198
15.6%
D 123
9.7%
P 121
9.6%
L 109
 
8.6%
E 101
 
8.0%
B 76
 
6.0%
V 74
 
5.8%
T 69
 
5.5%
S 58
 
4.6%
A 55
 
4.3%
Other values (15) 282
22.3%
Lowercase Letter
ValueCountFrequency (%)
e 38
14.7%
r 28
10.8%
t 23
 
8.9%
l 22
 
8.5%
i 18
 
6.9%
a 17
 
6.6%
o 15
 
5.8%
u 13
 
5.0%
n 12
 
4.6%
s 10
 
3.9%
Other values (13) 63
24.3%
Other Punctuation
ValueCountFrequency (%)
, 7622
80.3%
/ 1814
 
19.1%
. 45
 
0.5%
% 3
 
< 0.1%
& 2
 
< 0.1%
' 1
 
< 0.1%
· 1
 
< 0.1%
: 1
 
< 0.1%
; 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 24
38.7%
0 13
21.0%
2 7
 
11.3%
3 6
 
9.7%
4 4
 
6.5%
7 3
 
4.8%
9 2
 
3.2%
6 2
 
3.2%
5 1
 
1.6%
Space Separator
ValueCountFrequency (%)
8770
100.0%
Close Punctuation
ValueCountFrequency (%)
) 993
100.0%
Open Punctuation
ValueCountFrequency (%)
( 993
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 90717
80.6%
Common 20313
 
18.0%
Latin 1525
 
1.4%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 4644
 
5.1%
조 4290
 
4.7%
기 3412
 
3.8%
품 2801
 
3.1%
도 2686
 
3.0%
매 2427
 
2.7%
공 2388
 
2.6%
부 2121
 
2.3%
자 1938
 
2.1%
사 1815
 
2.0%
Other values (690) 62195
68.6%
Latin
ValueCountFrequency (%)
C 198
 
13.0%
D 123
 
8.1%
P 121
 
7.9%
L 109
 
7.1%
E 101
 
6.6%
B 76
 
5.0%
V 74
 
4.9%
T 69
 
4.5%
S 58
 
3.8%
A 55
 
3.6%
Other values (38) 541
35.5%
Common
ValueCountFrequency (%)
8770
43.2%
, 7622
37.5%
/ 1814
 
8.9%
) 993
 
4.9%
( 993
 
4.9%
. 45
 
0.2%
1 24
 
0.1%
0 13
 
0.1%
2 7
 
< 0.1%
3 6
 
< 0.1%
Other values (12) 26
 
0.1%
Han
ValueCountFrequency (%)
外 1
50.0%
絲 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 90717
80.6%
ASCII 21837
 
19.4%
CJK 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8770
40.2%
, 7622
34.9%
/ 1814
 
8.3%
) 993
 
4.5%
( 993
 
4.5%
C 198
 
0.9%
D 123
 
0.6%
P 121
 
0.6%
L 109
 
0.5%
E 101
 
0.5%
Other values (59) 993
 
4.5%
Hangul
ValueCountFrequency (%)
제 4644
 
5.1%
조 4290
 
4.7%
기 3412
 
3.8%
품 2801
 
3.1%
도 2686
 
3.0%
매 2427
 
2.7%
공 2388
 
2.6%
부 2121
 
2.3%
자 1938
 
2.1%
사 1815
 
2.0%
Other values (690) 62195
68.6%
CJK
ValueCountFrequency (%)
外 1
50.0%
絲 1
50.0%
None
ValueCountFrequency (%)
· 1
100.0%

대표자
Text

Distinct6844
Distinct (%)81.2%
Missing5
Missing (%)0.1%
Memory size66.0 KiB
2024-01-28T17:25:19.590969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length3
Mean length3.1570395
Min length2

Characters and Unicode

Total characters26617
Distinct characters331
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5652 ?
Unique (%)67.0%

Sample

1st row조성수/이천식
2nd row조형연
3rd row김유석
4th row김윤경
5th row우병택/우상하
ValueCountFrequency (%)
김영호 9
 
0.1%
이정숙 6
 
0.1%
김동환 6
 
0.1%
김미경 6
 
0.1%
김명수 6
 
0.1%
이정훈 6
 
0.1%
김병철 6
 
0.1%
김선희 6
 
0.1%
김진구 6
 
0.1%
김영미 5
 
0.1%
Other values (6839) 8377
99.3%
2024-01-28T17:25:20.001163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 1761
 
6.6%
이 1339
 
5.0%
정 816
 
3.1%
영 771
 
2.9%
박 715
 
2.7%
성 579
 
2.2%
호 484
 
1.8%
수 477
 
1.8%
경 438
 
1.6%
진 429
 
1.6%
Other values (321) 18808
70.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26284
98.7%
Other Punctuation 316
 
1.2%
Space Separator 8
 
< 0.1%
Uppercase Letter 8
 
< 0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 1761
 
6.7%
이 1339
 
5.1%
정 816
 
3.1%
영 771
 
2.9%
박 715
 
2.7%
성 579
 
2.2%
호 484
 
1.8%
수 477
 
1.8%
경 438
 
1.7%
진 429
 
1.6%
Other values (308) 18475
70.3%
Uppercase Letter
ValueCountFrequency (%)
I 1
12.5%
S 1
12.5%
H 1
12.5%
W 1
12.5%
A 1
12.5%
N 1
12.5%
Y 1
12.5%
U 1
12.5%
Other Punctuation
ValueCountFrequency (%)
/ 311
98.4%
, 4
 
1.3%
. 1
 
0.3%
Space Separator
ValueCountFrequency (%)
8
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26284
98.7%
Common 325
 
1.2%
Latin 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 1761
 
6.7%
이 1339
 
5.1%
정 816
 
3.1%
영 771
 
2.9%
박 715
 
2.7%
성 579
 
2.2%
호 484
 
1.8%
수 477
 
1.8%
경 438
 
1.7%
진 429
 
1.6%
Other values (308) 18475
70.3%
Latin
ValueCountFrequency (%)
I 1
12.5%
S 1
12.5%
H 1
12.5%
W 1
12.5%
A 1
12.5%
N 1
12.5%
Y 1
12.5%
U 1
12.5%
Common
ValueCountFrequency (%)
/ 311
95.7%
8
 
2.5%
, 4
 
1.2%
. 1
 
0.3%
1 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26284
98.7%
ASCII 333
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 1761
 
6.7%
이 1339
 
5.1%
정 816
 
3.1%
영 771
 
2.9%
박 715
 
2.7%
성 579
 
2.2%
호 484
 
1.8%
수 477
 
1.8%
경 438
 
1.7%
진 429
 
1.6%
Other values (308) 18475
70.3%
ASCII
ValueCountFrequency (%)
/ 311
93.4%
8
 
2.4%
, 4
 
1.2%
. 1
 
0.3%
1 1
 
0.3%
I 1
 
0.3%
S 1
 
0.3%
H 1
 
0.3%
W 1
 
0.3%
A 1
 
0.3%
Other values (3) 3
 
0.9%

연락처
Text

MISSING 

Distinct4777
Distinct (%)91.6%
Missing3222
Missing (%)38.2%
Memory size66.0 KiB
2024-01-28T17:25:20.242124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.011699
Min length8

Characters and Unicode

Total characters62629
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

Unique4367 ?
Unique (%)83.8%

Sample

1st row032-446-8334
2nd row032-814-1176
3rd row032-818-0234
4th row032-467-7666
5th row032-710-2874
ValueCountFrequency (%)
032-505-7822 4
 
0.1%
032-421-4206 4
 
0.1%
032-668-2328 3
 
0.1%
032-442-7777 3
 
0.1%
032-821-2045 3
 
0.1%
032-427-1127 3
 
0.1%
032-816-5167 3
 
0.1%
032-463-7948 3
 
0.1%
032-815-5585 3
 
0.1%
032-818-2345 3
 
0.1%
Other values (4767) 5182
99.4%
2024-01-28T17:25:20.622586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 10406
16.6%
2 8939
14.3%
0 8530
13.6%
3 7867
12.6%
1 5679
9.1%
8 5144
8.2%
4 4481
7.2%
6 3225
 
5.1%
7 3168
 
5.1%
5 3144
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 52223
83.4%
Dash Punctuation 10406
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 8939
17.1%
0 8530
16.3%
3 7867
15.1%
1 5679
10.9%
8 5144
9.9%
4 4481
8.6%
6 3225
 
6.2%
7 3168
 
6.1%
5 3144
 
6.0%
9 2046
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 10406
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 62629
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 10406
16.6%
2 8939
14.3%
0 8530
13.6%
3 7867
12.6%
1 5679
9.1%
8 5144
8.2%
4 4481
7.2%
6 3225
 
5.1%
7 3168
 
5.1%
5 3144
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 62629
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 10406
16.6%
2 8939
14.3%
0 8530
13.6%
3 7867
12.6%
1 5679
9.1%
8 5144
8.2%
4 4481
7.2%
6 3225
 
5.1%
7 3168
 
5.1%
5 3144
 
5.0%

팩스번호
Text

MISSING 

Distinct2972
Distinct (%)92.3%
Missing5215
Missing (%)61.8%
Memory size66.0 KiB
2024-01-28T17:25:20.863676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.007451
Min length9

Characters and Unicode

Total characters38676
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

Unique2735 ?
Unique (%)84.9%

Sample

1st row032-817-1175
2nd row032-818-6355
3rd row032-472-7666
4th row032-814-5507
5th row032-888-5053
ValueCountFrequency (%)
032-814-1190 4
 
0.1%
032-822-2244 4
 
0.1%
0502-300-1122 3
 
0.1%
032-812-7314 3
 
0.1%
032-816-1090 3
 
0.1%
032-816-2753 3
 
0.1%
032-817-6108 3
 
0.1%
032-815-8122 3
 
0.1%
032-814-6327 3
 
0.1%
032-811-7952 3
 
0.1%
Other values (2962) 3189
99.0%
2024-01-28T17:25:21.194539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 6441
16.7%
2 5611
14.5%
3 4934
12.8%
0 4922
12.7%
1 3522
9.1%
8 3515
9.1%
4 2552
 
6.6%
6 1961
 
5.1%
5 1901
 
4.9%
7 1802
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32235
83.3%
Dash Punctuation 6441
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5611
17.4%
3 4934
15.3%
0 4922
15.3%
1 3522
10.9%
8 3515
10.9%
4 2552
7.9%
6 1961
 
6.1%
5 1901
 
5.9%
7 1802
 
5.6%
9 1515
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 6441
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 38676
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 6441
16.7%
2 5611
14.5%
3 4934
12.8%
0 4922
12.7%
1 3522
9.1%
8 3515
9.1%
4 2552
 
6.6%
6 1961
 
5.1%
5 1901
 
4.9%
7 1802
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 38676
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 6441
16.7%
2 5611
14.5%
3 4934
12.8%
0 4922
12.7%
1 3522
9.1%
8 3515
9.1%
4 2552
 
6.6%
6 1961
 
5.1%
5 1901
 
4.9%
7 1802
 
4.7%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size66.0 KiB
기업지원과
8436 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기업지원과 8436
100.0%

Length

2024-01-28T17:25:21.301763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T17:25:21.378519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기업지원과 8436
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing6
Missing (%)0.1%
Memory size66.0 KiB
Minimum2022-08-18 00:00:00
Maximum2022-08-18 00:00:00
2024-01-28T17:25:21.445481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:25:21.518604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-28T17:25:16.145507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-01-28T17:25:16.264864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T17:25:16.427495image/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.
2024-01-28T17:25:16.588526image/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

연번업체명소재지주소홈페이지주요생산품대표자연락처팩스번호담당부서데이터기준일자
01(주)한국주차관리공사인천 남동구 구월남로 120, 4층<NA>일반화물자동차 운송조성수/이천식<NA><NA>기업지원과2022-08-18
12금강산업인천 남동구 고잔로15번길 10<NA>주형,금형제조조형연032-446-8334<NA>기업지원과2022-08-18
23한국자동기술산업(주)인천 남동구 남동동로 155http://auto1st.co.kr자동화설비(산업처리공정 제어장비,재료자동풀림장치,자동권취기,스크랩흡입기,자동화설비,와인더),고속프레스 제조김유석032-814-1176032-817-1175기업지원과2022-08-18
34동남냉기인천 남동구 담방로 105, 806동 112호<NA>냉동기설치공사김윤경<NA><NA>기업지원과2022-08-18
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