Overview

Dataset statistics

Number of variables11
Number of observations2506
Missing cells26
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory215.5 KiB
Average record size in memory88.1 B

Variable types

Text11

Dataset

Description2022. 12. 31. 기준 청주시 개별입지 공장등록현황 정보(산업단지 제외) - 업체명, 공장대표주소, 업종명, 생산품, 종업원수 등등 / 팩토리온 기준 자료(한국산업단지관리공단)
Author충청북도 청주시
URLhttps://www.data.go.kr/data/15112122/fileData.do

Reproduction

Analysis started2023-12-12 21:18:04.092724
Analysis finished2023-12-12 21:18:06.210420
Duration2.12 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

청주시 개별입지 공장등록현황(2022년 12월 기준)
Text

Distinct2505
Distinct (%)100.0%
Missing1
Missing (%)< 0.1%
Memory size19.7 KiB
2023-12-13T06:18:06.555470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.5572854
Min length1

Characters and Unicode

Total characters8911
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2505 ?
Unique (%)100.0%

Sample

1st row순번
2nd row1
3rd row2
4th row3
5th row4
ValueCountFrequency (%)
순번 1
 
< 0.1%
1669 1
 
< 0.1%
1662 1
 
< 0.1%
1664 1
 
< 0.1%
1680 1
 
< 0.1%
1665 1
 
< 0.1%
1666 1
 
< 0.1%
1667 1
 
< 0.1%
1668 1
 
< 0.1%
1670 1
 
< 0.1%
Other values (2495) 2495
99.6%
2023-12-13T06:18:07.153965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1801
20.2%
2 1306
14.7%
3 801
9.0%
4 801
9.0%
5 705
 
7.9%
7 700
 
7.9%
8 700
 
7.9%
6 700
 
7.9%
9 700
 
7.9%
0 695
 
7.8%
Other values (2) 2
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8909
> 99.9%
Other Letter 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1801
20.2%
2 1306
14.7%
3 801
9.0%
4 801
9.0%
5 705
 
7.9%
7 700
 
7.9%
8 700
 
7.9%
6 700
 
7.9%
9 700
 
7.9%
0 695
 
7.8%
Other Letter
ValueCountFrequency (%)
순 1
50.0%
번 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8909
> 99.9%
Hangul 2
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1801
20.2%
2 1306
14.7%
3 801
9.0%
4 801
9.0%
5 705
 
7.9%
7 700
 
7.9%
8 700
 
7.9%
6 700
 
7.9%
9 700
 
7.9%
0 695
 
7.8%
Hangul
ValueCountFrequency (%)
순 1
50.0%
번 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8909
> 99.9%
Hangul 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1801
20.2%
2 1306
14.7%
3 801
9.0%
4 801
9.0%
5 705
 
7.9%
7 700
 
7.9%
8 700
 
7.9%
6 700
 
7.9%
9 700
 
7.9%
0 695
 
7.8%
Hangul
ValueCountFrequency (%)
순 1
50.0%
번 1
50.0%

Unnamed: 1
Text

Distinct2398
Distinct (%)95.7%
Missing1
Missing (%)< 0.1%
Memory size19.7 KiB
2023-12-13T06:18:07.381079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length7.2407186
Min length2

Characters and Unicode

Total characters18138
Distinct characters580
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2297 ?
Unique (%)91.7%

Sample

1st row회사명
2nd row (주)장자동화
3rd row(가칭)대경산업
4th row(가칭)선경산업
5th row(사)충북친환경채소클러스터 외1개사
ValueCountFrequency (%)
주식회사 225
 
7.9%
농업회사법인 32
 
1.1%
제2공장 8
 
0.3%
영농조합법인 4
 
0.1%
청주공장 4
 
0.1%
청원산업수출포장 3
 
0.1%
청주지점 3
 
0.1%
충북낙농업협동조합 3
 
0.1%
원테크 3
 
0.1%
주)아이엠 3
 
0.1%
Other values (2443) 2564
89.9%
2023-12-13T06:18:07.765522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1649
 
9.1%
) 1365
 
7.5%
( 1364
 
7.5%
이 551
 
3.0%
스 408
 
2.2%
업 389
 
2.1%
사 385
 
2.1%
362
 
2.0%
산 325
 
1.8%
에 324
 
1.8%
Other values (570) 11016
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14737
81.2%
Close Punctuation 1365
 
7.5%
Open Punctuation 1364
 
7.5%
Space Separator 362
 
2.0%
Uppercase Letter 246
 
1.4%
Decimal Number 25
 
0.1%
Other Punctuation 24
 
0.1%
Lowercase Letter 14
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1649
 
11.2%
이 551
 
3.7%
스 408
 
2.8%
업 389
 
2.6%
사 385
 
2.6%
산 325
 
2.2%
에 324
 
2.2%
회 321
 
2.2%
식 283
 
1.9%
지 271
 
1.8%
Other values (528) 9831
66.7%
Uppercase Letter
ValueCountFrequency (%)
E 30
12.2%
N 26
 
10.6%
S 23
 
9.3%
T 21
 
8.5%
G 21
 
8.5%
C 17
 
6.9%
M 12
 
4.9%
D 11
 
4.5%
B 9
 
3.7%
A 9
 
3.7%
Other values (13) 67
27.2%
Lowercase Letter
ValueCountFrequency (%)
c 3
21.4%
e 3
21.4%
a 2
14.3%
n 2
14.3%
h 2
14.3%
t 1
 
7.1%
k 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 11
45.8%
& 7
29.2%
, 3
 
12.5%
· 2
 
8.3%
/ 1
 
4.2%
Decimal Number
ValueCountFrequency (%)
2 18
72.0%
1 5
 
20.0%
3 2
 
8.0%
Close Punctuation
ValueCountFrequency (%)
) 1365
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1364
100.0%
Space Separator
ValueCountFrequency (%)
362
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14737
81.2%
Common 3141
 
17.3%
Latin 260
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1649
 
11.2%
이 551
 
3.7%
스 408
 
2.8%
업 389
 
2.6%
사 385
 
2.6%
산 325
 
2.2%
에 324
 
2.2%
회 321
 
2.2%
식 283
 
1.9%
지 271
 
1.8%
Other values (528) 9831
66.7%
Latin
ValueCountFrequency (%)
E 30
 
11.5%
N 26
 
10.0%
S 23
 
8.8%
T 21
 
8.1%
G 21
 
8.1%
C 17
 
6.5%
M 12
 
4.6%
D 11
 
4.2%
B 9
 
3.5%
A 9
 
3.5%
Other values (20) 81
31.2%
Common
ValueCountFrequency (%)
) 1365
43.5%
( 1364
43.4%
362
 
11.5%
2 18
 
0.6%
. 11
 
0.4%
& 7
 
0.2%
1 5
 
0.2%
, 3
 
0.1%
· 2
 
0.1%
3 2
 
0.1%
Other values (2) 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14736
81.2%
ASCII 3399
 
18.7%
None 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1649
 
11.2%
이 551
 
3.7%
스 408
 
2.8%
업 389
 
2.6%
사 385
 
2.6%
산 325
 
2.2%
에 324
 
2.2%
회 321
 
2.2%
식 283
 
1.9%
지 271
 
1.8%
Other values (527) 9830
66.7%
ASCII
ValueCountFrequency (%)
) 1365
40.2%
( 1364
40.1%
362
 
10.7%
E 30
 
0.9%
N 26
 
0.8%
S 23
 
0.7%
T 21
 
0.6%
G 21
 
0.6%
2 18
 
0.5%
C 17
 
0.5%
Other values (31) 152
 
4.5%
None
ValueCountFrequency (%)
· 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㄱ 1
100.0%

Unnamed: 2
Text

Distinct2396
Distinct (%)96.3%
Missing17
Missing (%)0.7%
Memory size19.7 KiB
2023-12-13T06:18:08.061375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length59
Mean length29.473684
Min length7

Characters and Unicode

Total characters73360
Distinct characters346
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

Unique2320 ?
Unique (%)93.2%

Sample

1st row공장대표주소(도로명)
2nd row충청북도 청주시 상당구 낭성면 단재로 2004
3rd row충청북도 청주시 흥덕구 옥산면 호죽리 180-11 외 3필지
4th row충청북도 청주시 청원구 북이면 용계내추로 297-18 외 3필지
5th row충청북도 청주시 흥덕구 지동동 551
ValueCountFrequency (%)
충청북도 2487
 
15.1%
청주시 2487
 
15.1%
청원구 1093
 
6.6%
흥덕구 700
 
4.2%
외 550
 
3.3%
서원구 541
 
3.3%
오창읍 346
 
2.1%
북이면 325
 
2.0%
남이면 265
 
1.6%
1필지 252
 
1.5%
Other values (2630) 7437
45.1%
2023-12-13T06:18:08.474170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14001
19.1%
청 6218
 
8.5%
북 2903
 
4.0%
도 2697
 
3.7%
주 2630
 
3.6%
충 2598
 
3.5%
시 2573
 
3.5%
구 2543
 
3.5%
1 2299
 
3.1%
원 1760
 
2.4%
Other values (336) 33138
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46037
62.8%
Space Separator 14001
 
19.1%
Decimal Number 10163
 
13.9%
Dash Punctuation 1097
 
1.5%
Close Punctuation 845
 
1.2%
Open Punctuation 844
 
1.2%
Other Punctuation 305
 
0.4%
Uppercase Letter 63
 
0.1%
Other Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 6218
 
13.5%
북 2903
 
6.3%
도 2697
 
5.9%
주 2630
 
5.7%
충 2598
 
5.6%
시 2573
 
5.6%
구 2543
 
5.5%
원 1760
 
3.8%
로 1407
 
3.1%
면 1210
 
2.6%
Other values (303) 19498
42.4%
Uppercase Letter
ValueCountFrequency (%)
B 14
22.2%
G 11
17.5%
E 6
9.5%
A 5
 
7.9%
R 4
 
6.3%
T 4
 
6.3%
C 4
 
6.3%
D 3
 
4.8%
S 3
 
4.8%
H 2
 
3.2%
Other values (4) 7
11.1%
Decimal Number
ValueCountFrequency (%)
1 2299
22.6%
2 1582
15.6%
3 1234
12.1%
4 913
 
9.0%
5 848
 
8.3%
6 720
 
7.1%
7 679
 
6.7%
8 672
 
6.6%
0 627
 
6.2%
9 589
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 300
98.4%
. 2
 
0.7%
: 2
 
0.7%
& 1
 
0.3%
Space Separator
ValueCountFrequency (%)
14001
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1097
100.0%
Close Punctuation
ValueCountFrequency (%)
) 845
100.0%
Open Punctuation
ValueCountFrequency (%)
( 844
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46038
62.8%
Common 27255
37.2%
Latin 63
 
0.1%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 6218
 
13.5%
북 2903
 
6.3%
도 2697
 
5.9%
주 2630
 
5.7%
충 2598
 
5.6%
시 2573
 
5.6%
구 2543
 
5.5%
원 1760
 
3.8%
로 1407
 
3.1%
면 1210
 
2.6%
Other values (302) 19499
42.4%
Common
ValueCountFrequency (%)
14001
51.4%
1 2299
 
8.4%
2 1582
 
5.8%
3 1234
 
4.5%
- 1097
 
4.0%
4 913
 
3.3%
5 848
 
3.1%
) 845
 
3.1%
( 844
 
3.1%
6 720
 
2.6%
Other values (8) 2872
 
10.5%
Latin
ValueCountFrequency (%)
B 14
22.2%
G 11
17.5%
E 6
9.5%
A 5
 
7.9%
R 4
 
6.3%
T 4
 
6.3%
C 4
 
6.3%
D 3
 
4.8%
S 3
 
4.8%
H 2
 
3.2%
Other values (4) 7
11.1%
Han
ValueCountFrequency (%)
山 2
50.0%
華 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46033
62.7%
ASCII 27318
37.2%
None 5
 
< 0.1%
CJK 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14001
51.3%
1 2299
 
8.4%
2 1582
 
5.8%
3 1234
 
4.5%
- 1097
 
4.0%
4 913
 
3.3%
5 848
 
3.1%
) 845
 
3.1%
( 844
 
3.1%
6 720
 
2.6%
Other values (22) 2935
 
10.7%
Hangul
ValueCountFrequency (%)
청 6218
 
13.5%
북 2903
 
6.3%
도 2697
 
5.9%
주 2630
 
5.7%
충 2598
 
5.6%
시 2573
 
5.6%
구 2543
 
5.5%
원 1760
 
3.8%
로 1407
 
3.1%
면 1210
 
2.6%
Other values (301) 19494
42.3%
None
ValueCountFrequency (%)
㈜ 5
100.0%
CJK
ValueCountFrequency (%)
山 2
50.0%
華 2
50.0%

Unnamed: 3
Text

Distinct2438
Distinct (%)97.3%
Missing1
Missing (%)< 0.1%
Memory size19.7 KiB
2023-12-13T06:18:08.731826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length59
Mean length28.013972
Min length10

Characters and Unicode

Total characters70175
Distinct characters273
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2387 ?
Unique (%)95.3%

Sample

1st row공장대표주소(지번)
2nd row충청북도 청주시 상당구 낭성면 추정리 23-1번지
3rd row충청북도 청주시 흥덕구 옥산면 호죽리 180-11 외 3필지
4th row충청북도 청주시 청원구 북이면 장양리 284-1번지 외 3필지
5th row충청북도 청주시 흥덕구 지동동 551
ValueCountFrequency (%)
충청북도 2504
 
15.7%
청주시 2504
 
15.7%
청원구 1105
 
6.9%
흥덕구 704
 
4.4%
외 560
 
3.5%
서원구 542
 
3.4%
오창읍 353
 
2.2%
북이면 325
 
2.0%
남이면 268
 
1.7%
1필지 255
 
1.6%
Other values (2518) 6831
42.8%
2023-12-13T06:18:09.112730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13446
19.2%
청 6153
 
8.8%
북 2899
 
4.1%
도 2673
 
3.8%
주 2600
 
3.7%
충 2567
 
3.7%
구 2562
 
3.7%
시 2529
 
3.6%
지 2406
 
3.4%
1 2289
 
3.3%
Other values (263) 30051
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44750
63.8%
Space Separator 13446
 
19.2%
Decimal Number 10001
 
14.3%
Dash Punctuation 1793
 
2.6%
Close Punctuation 54
 
0.1%
Open Punctuation 53
 
0.1%
Uppercase Letter 51
 
0.1%
Other Punctuation 27
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 6153
 
13.7%
북 2899
 
6.5%
도 2673
 
6.0%
주 2600
 
5.8%
충 2567
 
5.7%
구 2562
 
5.7%
시 2529
 
5.7%
지 2406
 
5.4%
리 1817
 
4.1%
번 1792
 
4.0%
Other values (234) 16752
37.4%
Uppercase Letter
ValueCountFrequency (%)
B 14
27.5%
G 9
17.6%
A 5
 
9.8%
E 4
 
7.8%
R 4
 
7.8%
T 3
 
5.9%
S 2
 
3.9%
H 2
 
3.9%
D 2
 
3.9%
C 2
 
3.9%
Other values (4) 4
 
7.8%
Decimal Number
ValueCountFrequency (%)
1 2289
22.9%
2 1616
16.2%
3 1150
11.5%
4 942
9.4%
5 853
 
8.5%
6 714
 
7.1%
7 678
 
6.8%
0 644
 
6.4%
8 604
 
6.0%
9 511
 
5.1%
Space Separator
ValueCountFrequency (%)
13446
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1793
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%
Other Punctuation
ValueCountFrequency (%)
, 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44724
63.7%
Common 25374
36.2%
Latin 51
 
0.1%
Han 26
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 6153
 
13.8%
북 2899
 
6.5%
도 2673
 
6.0%
주 2600
 
5.8%
충 2567
 
5.7%
구 2562
 
5.7%
시 2529
 
5.7%
지 2406
 
5.4%
리 1817
 
4.1%
번 1792
 
4.0%
Other values (230) 16726
37.4%
Common
ValueCountFrequency (%)
13446
53.0%
1 2289
 
9.0%
- 1793
 
7.1%
2 1616
 
6.4%
3 1150
 
4.5%
4 942
 
3.7%
5 853
 
3.4%
6 714
 
2.8%
7 678
 
2.7%
0 644
 
2.5%
Other values (5) 1249
 
4.9%
Latin
ValueCountFrequency (%)
B 14
27.5%
G 9
17.6%
A 5
 
9.8%
E 4
 
7.8%
R 4
 
7.8%
T 3
 
5.9%
S 2
 
3.9%
H 2
 
3.9%
D 2
 
3.9%
C 2
 
3.9%
Other values (4) 4
 
7.8%
Han
ValueCountFrequency (%)
山 12
46.2%
華 12
46.2%
岩 1
 
3.8%
岐 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44724
63.7%
ASCII 25425
36.2%
CJK 26
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13446
52.9%
1 2289
 
9.0%
- 1793
 
7.1%
2 1616
 
6.4%
3 1150
 
4.5%
4 942
 
3.7%
5 853
 
3.4%
6 714
 
2.8%
7 678
 
2.7%
0 644
 
2.5%
Other values (19) 1300
 
5.1%
Hangul
ValueCountFrequency (%)
청 6153
 
13.8%
북 2899
 
6.5%
도 2673
 
6.0%
주 2600
 
5.8%
충 2567
 
5.7%
구 2562
 
5.7%
시 2529
 
5.7%
지 2406
 
5.4%
리 1817
 
4.1%
번 1792
 
4.0%
Other values (230) 16726
37.4%
CJK
ValueCountFrequency (%)
山 12
46.2%
華 12
46.2%
岩 1
 
3.8%
岐 1
 
3.8%

Unnamed: 4
Text

Distinct748
Distinct (%)29.9%
Missing1
Missing (%)< 0.1%
Memory size19.7 KiB
2023-12-13T06:18:09.425027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length27
Mean length17.890619
Min length3

Characters and Unicode

Total characters44816
Distinct characters318
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

Unique379 ?
Unique (%)15.1%

Sample

1st row업종명
2nd row농업 및 임업용 기계 제조업
3rd row육상 금속 골조 구조재 제조업 외 1 종
4th row육상 금속 골조 구조재 제조업 외 1 종
5th row기타 과실ㆍ채소 가공 및 저장 처리업
ValueCountFrequency (%)
제조업 2152
 
14.8%
외 1367
 
9.4%
및 1135
 
7.8%
종 1092
 
7.5%
기타 672
 
4.6%
1 608
 
4.2%
금속 324
 
2.2%
그 275
 
1.9%
플라스틱 224
 
1.5%
2 196
 
1.3%
Other values (589) 6531
44.8%
2023-12-13T06:18:09.840367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12072
26.9%
제 3029
 
6.8%
조 2719
 
6.1%
업 2601
 
5.8%
기 1528
 
3.4%
외 1419
 
3.2%
및 1139
 
2.5%
종 1134
 
2.5%
용 778
 
1.7%
품 705
 
1.6%
Other values (308) 17692
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31139
69.5%
Space Separator 12072
 
26.9%
Decimal Number 1129
 
2.5%
Other Punctuation 388
 
0.9%
Open Punctuation 44
 
0.1%
Close Punctuation 44
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 3029
 
9.7%
조 2719
 
8.7%
업 2601
 
8.4%
기 1528
 
4.9%
외 1419
 
4.6%
및 1139
 
3.7%
종 1134
 
3.6%
용 778
 
2.5%
품 705
 
2.3%
타 692
 
2.2%
Other values (293) 15395
49.4%
Decimal Number
ValueCountFrequency (%)
1 647
57.3%
2 199
 
17.6%
3 109
 
9.7%
4 74
 
6.6%
5 34
 
3.0%
6 17
 
1.5%
8 17
 
1.5%
7 16
 
1.4%
9 10
 
0.9%
0 6
 
0.5%
Other Punctuation
ValueCountFrequency (%)
, 385
99.2%
. 3
 
0.8%
Space Separator
ValueCountFrequency (%)
12072
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31139
69.5%
Common 13677
30.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 3029
 
9.7%
조 2719
 
8.7%
업 2601
 
8.4%
기 1528
 
4.9%
외 1419
 
4.6%
및 1139
 
3.7%
종 1134
 
3.6%
용 778
 
2.5%
품 705
 
2.3%
타 692
 
2.2%
Other values (293) 15395
49.4%
Common
ValueCountFrequency (%)
12072
88.3%
1 647
 
4.7%
, 385
 
2.8%
2 199
 
1.5%
3 109
 
0.8%
4 74
 
0.5%
( 44
 
0.3%
) 44
 
0.3%
5 34
 
0.2%
6 17
 
0.1%
Other values (5) 52
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31116
69.4%
ASCII 13677
30.5%
Compat Jamo 23
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12072
88.3%
1 647
 
4.7%
, 385
 
2.8%
2 199
 
1.5%
3 109
 
0.8%
4 74
 
0.5%
( 44
 
0.3%
) 44
 
0.3%
5 34
 
0.2%
6 17
 
0.1%
Other values (5) 52
 
0.4%
Hangul
ValueCountFrequency (%)
제 3029
 
9.7%
조 2719
 
8.7%
업 2601
 
8.4%
기 1528
 
4.9%
외 1419
 
4.6%
및 1139
 
3.7%
종 1134
 
3.6%
용 778
 
2.5%
품 705
 
2.3%
타 692
 
2.2%
Other values (292) 15372
49.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 23
100.0%

Unnamed: 5
Text

Distinct98
Distinct (%)3.9%
Missing1
Missing (%)< 0.1%
Memory size19.7 KiB
2023-12-13T06:18:10.038205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length1
Mean length1.3217565
Min length1

Characters and Unicode

Total characters3311
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)1.5%

Sample

1st row종업원수
2nd row11
3rd row5
4th row5
5th row15
ValueCountFrequency (%)
5 315
12.6%
3 268
10.7%
4 230
 
9.2%
2 201
 
8.0%
6 161
 
6.4%
10 150
 
6.0%
1 148
 
5.9%
8 138
 
5.5%
7 125
 
5.0%
9 102
 
4.1%
Other values (88) 667
26.6%
2023-12-13T06:18:10.431359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 746
22.5%
5 423
12.8%
2 414
12.5%
3 392
11.8%
4 344
10.4%
0 271
 
8.2%
6 214
 
6.5%
8 183
 
5.5%
7 180
 
5.4%
9 140
 
4.2%
Other values (4) 4
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3307
99.9%
Other Letter 4
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 746
22.6%
5 423
12.8%
2 414
12.5%
3 392
11.9%
4 344
10.4%
0 271
 
8.2%
6 214
 
6.5%
8 183
 
5.5%
7 180
 
5.4%
9 140
 
4.2%
Other Letter
ValueCountFrequency (%)
종 1
25.0%
업 1
25.0%
원 1
25.0%
수 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3307
99.9%
Hangul 4
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 746
22.6%
5 423
12.8%
2 414
12.5%
3 392
11.9%
4 344
10.4%
0 271
 
8.2%
6 214
 
6.5%
8 183
 
5.5%
7 180
 
5.4%
9 140
 
4.2%
Hangul
ValueCountFrequency (%)
종 1
25.0%
업 1
25.0%
원 1
25.0%
수 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3307
99.9%
Hangul 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 746
22.6%
5 423
12.8%
2 414
12.5%
3 392
11.9%
4 344
10.4%
0 271
 
8.2%
6 214
 
6.5%
8 183
 
5.5%
7 180
 
5.4%
9 140
 
4.2%
Hangul
ValueCountFrequency (%)
종 1
25.0%
업 1
25.0%
원 1
25.0%
수 1
25.0%

Unnamed: 6
Text

Distinct2246
Distinct (%)89.7%
Missing1
Missing (%)< 0.1%
Memory size19.7 KiB
2023-12-13T06:18:10.706082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length48
Mean length11.260279
Min length1

Characters and Unicode

Total characters28207
Distinct characters710
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2106 ?
Unique (%)84.1%

Sample

1st row생산품
2nd row농기계
3rd row철구조물
4th rowH빔
5th row포장채소(절단탈피 및 세척채소)
ValueCountFrequency (%)
및 194
 
3.8%
등 82
 
1.6%
부품 47
 
0.9%
플라스틱 45
 
0.9%
외 37
 
0.7%
배전반 35
 
0.7%
창호 27
 
0.5%
반도체 24
 
0.5%
특장차 24
 
0.5%
철구조물 23
 
0.4%
Other values (3194) 4627
89.6%
2023-12-13T06:18:11.251979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2686
 
9.5%
, 1716
 
6.1%
기 881
 
3.1%
품 481
 
1.7%
장 475
 
1.7%
스 462
 
1.6%
제 448
 
1.6%
용 425
 
1.5%
전 373
 
1.3%
조 358
 
1.3%
Other values (700) 19902
70.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21672
76.8%
Space Separator 2686
 
9.5%
Other Punctuation 1784
 
6.3%
Uppercase Letter 1213
 
4.3%
Lowercase Letter 374
 
1.3%
Open Punctuation 211
 
0.7%
Close Punctuation 210
 
0.7%
Decimal Number 31
 
0.1%
Dash Punctuation 25
 
0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 881
 
4.1%
품 481
 
2.2%
장 475
 
2.2%
스 462
 
2.1%
제 448
 
2.1%
용 425
 
2.0%
전 373
 
1.7%
조 358
 
1.7%
자 333
 
1.5%
이 300
 
1.4%
Other values (629) 17136
79.1%
Uppercase Letter
ValueCountFrequency (%)
C 171
14.1%
P 152
12.5%
E 107
 
8.8%
L 89
 
7.3%
S 74
 
6.1%
D 73
 
6.0%
T 71
 
5.9%
V 66
 
5.4%
A 62
 
5.1%
M 53
 
4.4%
Other values (15) 295
24.3%
Lowercase Letter
ValueCountFrequency (%)
e 44
11.8%
a 38
 
10.2%
r 26
 
7.0%
i 25
 
6.7%
p 25
 
6.7%
n 25
 
6.7%
o 23
 
6.1%
t 21
 
5.6%
s 20
 
5.3%
c 19
 
5.1%
Other values (14) 108
28.9%
Decimal Number
ValueCountFrequency (%)
2 9
29.0%
0 6
19.4%
1 5
16.1%
3 4
12.9%
4 3
 
9.7%
9 2
 
6.5%
7 1
 
3.2%
6 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 1716
96.2%
. 38
 
2.1%
/ 23
 
1.3%
' 3
 
0.2%
& 2
 
0.1%
· 1
 
0.1%
？ 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 209
99.1%
[ 2
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 208
99.0%
] 2
 
1.0%
Space Separator
ValueCountFrequency (%)
2686
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21672
76.8%
Common 4948
 
17.5%
Latin 1587
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 881
 
4.1%
품 481
 
2.2%
장 475
 
2.2%
스 462
 
2.1%
제 448
 
2.1%
용 425
 
2.0%
전 373
 
1.7%
조 358
 
1.7%
자 333
 
1.5%
이 300
 
1.4%
Other values (629) 17136
79.1%
Latin
ValueCountFrequency (%)
C 171
 
10.8%
P 152
 
9.6%
E 107
 
6.7%
L 89
 
5.6%
S 74
 
4.7%
D 73
 
4.6%
T 71
 
4.5%
V 66
 
4.2%
A 62
 
3.9%
M 53
 
3.3%
Other values (39) 669
42.2%
Common
ValueCountFrequency (%)
2686
54.3%
, 1716
34.7%
( 209
 
4.2%
) 208
 
4.2%
. 38
 
0.8%
- 25
 
0.5%
/ 23
 
0.5%
2 9
 
0.2%
0 6
 
0.1%
1 5
 
0.1%
Other values (12) 23
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21671
76.8%
ASCII 6533
 
23.2%
None 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2686
41.1%
, 1716
26.3%
( 209
 
3.2%
) 208
 
3.2%
C 171
 
2.6%
P 152
 
2.3%
E 107
 
1.6%
L 89
 
1.4%
S 74
 
1.1%
D 73
 
1.1%
Other values (59) 1048
 
16.0%
Hangul
ValueCountFrequency (%)
기 881
 
4.1%
품 481
 
2.2%
장 475
 
2.2%
스 462
 
2.1%
제 448
 
2.1%
용 425
 
2.0%
전 373
 
1.7%
조 358
 
1.7%
자 333
 
1.5%
이 300
 
1.4%
Other values (628) 17135
79.1%
None
ValueCountFrequency (%)
· 1
50.0%
？ 1
50.0%
Compat Jamo
ValueCountFrequency (%)
ㅈ 1
100.0%

Unnamed: 7
Text

Distinct1704
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Memory size19.7 KiB
2023-12-13T06:18:11.512623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length7.3790902
Min length4

Characters and Unicode

Total characters18492
Distinct characters24
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

Unique1439 ?
Unique (%)57.4%

Sample

1st row공장 면적(단위: m2)
2nd row부지면적
3rd row1630.000
4th row7902.000
5th row2590.000
ValueCountFrequency (%)
0.000 446
 
17.8%
1653.000 10
 
0.4%
990.000 9
 
0.4%
1650.000 7
 
0.3%
998.000 6
 
0.2%
1322.000 6
 
0.2%
2500.000 5
 
0.2%
1984.000 4
 
0.2%
1380.000 4
 
0.2%
2663.000 4
 
0.2%
Other values (1696) 2007
80.0%
2023-12-13T06:18:11.852711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8496
45.9%
. 2504
 
13.5%
1 1309
 
7.1%
2 1086
 
5.9%
3 865
 
4.7%
4 785
 
4.2%
5 746
 
4.0%
9 734
 
4.0%
6 709
 
3.8%
8 624
 
3.4%
Other values (14) 634
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15972
86.4%
Other Punctuation 2505
 
13.5%
Other Letter 10
 
0.1%
Space Separator 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8496
53.2%
1 1309
 
8.2%
2 1086
 
6.8%
3 865
 
5.4%
4 785
 
4.9%
5 746
 
4.7%
9 734
 
4.6%
6 709
 
4.4%
8 624
 
3.9%
7 618
 
3.9%
Other Letter
ValueCountFrequency (%)
면 2
20.0%
적 2
20.0%
단 1
10.0%
위 1
10.0%
지 1
10.0%
장 1
10.0%
공 1
10.0%
부 1
10.0%
Other Punctuation
ValueCountFrequency (%)
. 2504
> 99.9%
: 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
2
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18481
99.9%
Hangul 10
 
0.1%
Latin 1
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8496
46.0%
. 2504
 
13.5%
1 1309
 
7.1%
2 1086
 
5.9%
3 865
 
4.7%
4 785
 
4.2%
5 746
 
4.0%
9 734
 
4.0%
6 709
 
3.8%
8 624
 
3.4%
Other values (5) 623
 
3.4%
Hangul
ValueCountFrequency (%)
면 2
20.0%
적 2
20.0%
단 1
10.0%
위 1
10.0%
지 1
10.0%
장 1
10.0%
공 1
10.0%
부 1
10.0%
Latin
ValueCountFrequency (%)
m 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18482
99.9%
Hangul 10
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8496
46.0%
. 2504
 
13.5%
1 1309
 
7.1%
2 1086
 
5.9%
3 865
 
4.7%
4 785
 
4.2%
5 746
 
4.0%
9 734
 
4.0%
6 709
 
3.8%
8 624
 
3.4%
Other values (6) 624
 
3.4%
Hangul
ValueCountFrequency (%)
면 2
20.0%
적 2
20.0%
단 1
10.0%
위 1
10.0%
지 1
10.0%
장 1
10.0%
공 1
10.0%
부 1
10.0%

Unnamed: 8
Text

Distinct2021
Distinct (%)80.7%
Missing1
Missing (%)< 0.1%
Memory size19.7 KiB
2023-12-13T06:18:12.265318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7
Mean length7.0722555
Min length6

Characters and Unicode

Total characters17716
Distinct characters17
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

Unique1817 ?
Unique (%)72.5%

Sample

1st row제조시설면적
2nd row914.970
3rd row971.700
4th row446.770
5th row534.010
ValueCountFrequency (%)
330.000 24
 
1.0%
198.000 20
 
0.8%
396.000 16
 
0.6%
300.000 16
 
0.6%
100.000 13
 
0.5%
360.000 12
 
0.5%
165.000 11
 
0.4%
495.000 11
 
0.4%
200.000 10
 
0.4%
240.000 10
 
0.4%
Other values (2011) 2362
94.3%
2023-12-13T06:18:12.819827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5449
30.8%
. 2504
14.1%
4 1342
 
7.6%
1 1261
 
7.1%
2 1246
 
7.0%
3 1197
 
6.8%
9 1038
 
5.9%
8 1010
 
5.7%
5 968
 
5.5%
6 921
 
5.2%
Other values (7) 780
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15206
85.8%
Other Punctuation 2504
 
14.1%
Other Letter 6
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5449
35.8%
4 1342
 
8.8%
1 1261
 
8.3%
2 1246
 
8.2%
3 1197
 
7.9%
9 1038
 
6.8%
8 1010
 
6.6%
5 968
 
6.4%
6 921
 
6.1%
7 774
 
5.1%
Other Letter
ValueCountFrequency (%)
제 1
16.7%
조 1
16.7%
시 1
16.7%
설 1
16.7%
면 1
16.7%
적 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 2504
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17710
> 99.9%
Hangul 6
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5449
30.8%
. 2504
14.1%
4 1342
 
7.6%
1 1261
 
7.1%
2 1246
 
7.0%
3 1197
 
6.8%
9 1038
 
5.9%
8 1010
 
5.7%
5 968
 
5.5%
6 921
 
5.2%
Hangul
ValueCountFrequency (%)
제 1
16.7%
조 1
16.7%
시 1
16.7%
설 1
16.7%
면 1
16.7%
적 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17710
> 99.9%
Hangul 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5449
30.8%
. 2504
14.1%
4 1342
 
7.6%
1 1261
 
7.1%
2 1246
 
7.0%
3 1197
 
6.8%
9 1038
 
5.9%
8 1010
 
5.7%
5 968
 
5.5%
6 921
 
5.2%
Hangul
ValueCountFrequency (%)
제 1
16.7%
조 1
16.7%
시 1
16.7%
설 1
16.7%
면 1
16.7%
적 1
16.7%

Unnamed: 9
Text

Distinct1507
Distinct (%)60.2%
Missing1
Missing (%)< 0.1%
Memory size19.7 KiB
2023-12-13T06:18:13.175041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length6.2203593
Min length5

Characters and Unicode

Total characters15582
Distinct characters17
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

Unique1384 ?
Unique (%)55.2%

Sample

1st row부대시설면적
2nd row204.900
3rd row80.550
4th row37.440
5th row1456.440
ValueCountFrequency (%)
0.000 729
29.1%
50.000 14
 
0.6%
60.000 11
 
0.4%
10.000 10
 
0.4%
100.000 10
 
0.4%
9.000 10
 
0.4%
66.000 9
 
0.4%
30.000 9
 
0.4%
90.000 8
 
0.3%
132.000 8
 
0.3%
Other values (1497) 1687
67.3%
2023-12-13T06:18:13.695546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6475
41.6%
. 2504
 
16.1%
1 1023
 
6.6%
2 850
 
5.5%
3 771
 
4.9%
4 740
 
4.7%
5 734
 
4.7%
6 704
 
4.5%
8 622
 
4.0%
9 597
 
3.8%
Other values (7) 562
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13072
83.9%
Other Punctuation 2504
 
16.1%
Other Letter 6
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6475
49.5%
1 1023
 
7.8%
2 850
 
6.5%
3 771
 
5.9%
4 740
 
5.7%
5 734
 
5.6%
6 704
 
5.4%
8 622
 
4.8%
9 597
 
4.6%
7 556
 
4.3%
Other Letter
ValueCountFrequency (%)
부 1
16.7%
대 1
16.7%
시 1
16.7%
설 1
16.7%
면 1
16.7%
적 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 2504
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15576
> 99.9%
Hangul 6
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6475
41.6%
. 2504
 
16.1%
1 1023
 
6.6%
2 850
 
5.5%
3 771
 
4.9%
4 740
 
4.8%
5 734
 
4.7%
6 704
 
4.5%
8 622
 
4.0%
9 597
 
3.8%
Hangul
ValueCountFrequency (%)
부 1
16.7%
대 1
16.7%
시 1
16.7%
설 1
16.7%
면 1
16.7%
적 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15576
> 99.9%
Hangul 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6475
41.6%
. 2504
 
16.1%
1 1023
 
6.6%
2 850
 
5.5%
3 771
 
4.9%
4 740
 
4.8%
5 734
 
4.7%
6 704
 
4.5%
8 622
 
4.0%
9 597
 
3.8%
Hangul
ValueCountFrequency (%)
부 1
16.7%
대 1
16.7%
시 1
16.7%
설 1
16.7%
면 1
16.7%
적 1
16.7%

Unnamed: 10
Text

Distinct2181
Distinct (%)87.1%
Missing1
Missing (%)< 0.1%
Memory size19.7 KiB
2023-12-13T06:18:14.103500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7
Mean length7.2083832
Min length4

Characters and Unicode

Total characters18057
Distinct characters15
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

Unique2013 ?
Unique (%)80.4%

Sample

1st row건축면적
2nd row1119.870
3rd row1052.250
4th row484.210
5th row1990.450
ValueCountFrequency (%)
495.000 14
 
0.6%
198.000 14
 
0.6%
330.000 14
 
0.6%
396.000 10
 
0.4%
165.000 9
 
0.4%
390.000 7
 
0.3%
360.000 7
 
0.3%
100.000 7
 
0.3%
240.000 7
 
0.3%
300.000 6
 
0.2%
Other values (2171) 2410
96.2%
2023-12-13T06:18:14.676699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4904
27.2%
. 2504
13.9%
4 1489
 
8.2%
1 1401
 
7.8%
2 1333
 
7.4%
9 1211
 
6.7%
3 1196
 
6.6%
8 1105
 
6.1%
5 1068
 
5.9%
6 1014
 
5.6%
Other values (5) 832
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15549
86.1%
Other Punctuation 2504
 
13.9%
Other Letter 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4904
31.5%
4 1489
 
9.6%
1 1401
 
9.0%
2 1333
 
8.6%
9 1211
 
7.8%
3 1196
 
7.7%
8 1105
 
7.1%
5 1068
 
6.9%
6 1014
 
6.5%
7 828
 
5.3%
Other Letter
ValueCountFrequency (%)
건 1
25.0%
축 1
25.0%
면 1
25.0%
적 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 2504
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18053
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4904
27.2%
. 2504
13.9%
4 1489
 
8.2%
1 1401
 
7.8%
2 1333
 
7.4%
9 1211
 
6.7%
3 1196
 
6.6%
8 1105
 
6.1%
5 1068
 
5.9%
6 1014
 
5.6%
Hangul
ValueCountFrequency (%)
건 1
25.0%
축 1
25.0%
면 1
25.0%
적 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18053
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4904
27.2%
. 2504
13.9%
4 1489
 
8.2%
1 1401
 
7.8%
2 1333
 
7.4%
9 1211
 
6.7%
3 1196
 
6.6%
8 1105
 
6.1%
5 1068
 
5.9%
6 1014
 
5.6%
Hangul
ValueCountFrequency (%)
건 1
25.0%
축 1
25.0%
면 1
25.0%
적 1
25.0%

Missing values

2023-12-13T06:18:05.555700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:18:05.746311image/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.
2023-12-13T06:18:06.102329image/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

청주시 개별입지 공장등록현황(2022년 12월 기준)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10
0순번회사명공장대표주소(도로명)공장대표주소(지번)업종명종업원수생산품공장 면적(단위: m2)<NA><NA><NA>
1<NA><NA><NA><NA><NA><NA><NA>부지면적제조시설면적부대시설면적건축면적
21(주)장자동화충청북도 청주시 상당구 낭성면 단재로 2004충청북도 청주시 상당구 낭성면 추정리 23-1번지농업 및 임업용 기계 제조업11농기계1630.000914.970204.9001119.870
32(가칭)대경산업충청북도 청주시 흥덕구 옥산면 호죽리 180-11 외 3필지충청북도 청주시 흥덕구 옥산면 호죽리 180-11 외 3필지육상 금속 골조 구조재 제조업 외 1 종5철구조물7902.000971.70080.5501052.250
43(가칭)선경산업충청북도 청주시 청원구 북이면 용계내추로 297-18 외 3필지충청북도 청주시 청원구 북이면 장양리 284-1번지 외 3필지육상 금속 골조 구조재 제조업 외 1 종5H빔2590.000446.77037.440484.210
54(사)충북친환경채소클러스터 외1개사충청북도 청주시 흥덕구 지동동 551충청북도 청주시 흥덕구 지동동 551기타 과실ㆍ채소 가공 및 저장 처리업15포장채소(절단탈피 및 세척채소)5542.000534.0101456.4401990.450
65(유한)대동식품충청북도 청주시 서원구 현도면 죽암도원로 115 (현도면, 대동식품) 외 1필지충청북도 청주시 서원구 현도면 죽암리 171-1번지 대동식품 외 1필지수산동물 건조 및 염장품 제조업9까나리액젓1819.000486.000446.570932.570
76(유한)백두엔지니어링충청북도 청주시 청원구 내수읍 내수로 317-32충청북도 청주시 청원구 내수읍 원통리 271-7번지배전반 및 전기 자동제어반 제조업4수전반,배전반,분전반,MCC2500.000494.2000.000494.200
87(자)대청인더스트리충청북도 청주시 청원구 북이면 장양길 23 (대청콘크리트) 외 2필지충청북도 청주시 청원구 북이면 용계리 356-3번지 외 2필지콘크리트 타일, 기와, 벽돌 및 블록 제조업 외 1 종15U형콘크리트수로관, 호안블럭11544.0001589.460458.0802047.540
98(자)평화산업충청북도 청주시 흥덕구 강내면 태성리 128-15번지 외 1필지충청북도 청주시 흥덕구 강내면 태성리 128-15번지 외 1필지농업 및 임업용 기계 제조업 외 2 종12농산물건조기,특장차외관1657.000430.37030.000460.370
청주시 개별입지 공장등록현황(2022년 12월 기준)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10
24962495화신전자(주)충청북도 청주시 흥덕구 강내면 황탄리길 68-51충청북도 청주시 흥덕구 강내면 다락리 369-5번지인쇄회로기판용 적층판 제조업 외 2 종16전자부품11292.0001959.4001229.7003189.100
24972496화인피엔지충청북도 청주시 청원구 북이면 내둔길 30 외 3필지충청북도 청주시 청원구 북이면 내둔리 81 외 3필지기타 인쇄업 외 1 종10레토르트 파우치포장기9953.0001522.150895.1602417.310
24982497환희개발(주)충청북도 청주시 흥덕구 옥산면 국사오산로 384 외 4필지충청북도 청주시 흥덕구 옥산면 금계리 682-2번지 외 4필지비금속광물 분쇄물 생산업29골재,모래22596.0001733.790679.4202413.210
24992498환희철강충청북도 청주시 흥덕구 옥산면 환희길 200 외 1필지충청북도 청주시 흥덕구 옥산면 환희리 203-4번지 외 1필지기타 구조용 금속제품 제조업3건축용철구조물3471.000492.840357.840850.680
25002499효성모타펌프충청북도 청주시 흥덕구 옥산면 소로1길 38-86충청북도 청주시 흥덕구 옥산면 소로리 279-3번지전동기 및 발전기 제조업 외 1 종1모타, 펌프1363.000360.0000.000360.000
25012500효성에너텍충청북도 청주시 청원구 오창읍 괴정길 19충청북도 청주시 청원구 오창읍 괴정리 478번지농업 및 임업용 기계 제조업4농업용열선 열선제어기0.000146.92049.500196.420
25022501효은리프트(주)충청북도 청주시 청원구 북이면 의암로 166-23충청북도 청주시 청원구 북이면 금암리 140번지승강기 제조업6장애인용 리프트,리프트1775.000325.20046.800372.000
25032502흥덕공업사충청북도 청주시 서원구 남이면 2순환로 1711-1 (흥덕공업사)충청북도 청주시 서원구 남이면 가마리 59번지건설 및 채광용 기계장비 제조업1건설기계정비0.000269.6600.000269.660
25042503희망공작소충청북도 청주시 청원구 사천로152번길 32 (사천동)충청북도 청주시 청원구 사천동 578번지기타 구조용 금속제품 제조업1유압리프트2600.000450.20049.000499.200
25052504희성정기충청북도 청주시 흥덕구 직지대로556번길 16 (봉명동)충청북도 청주시 흥덕구 봉명동 166-18번지그 외 기타 특수목적용 기계 제조업 외 1 종2기계부품132.000100.00032.000132.000