Overview

Dataset statistics

Number of variables88
Number of observations674
Missing cells6924
Missing cells (%)11.7%
Duplicate rows7
Duplicate rows (%)1.0%
Total size in memory463.5 KiB
Average record size in memory704.2 B

Variable types

Unsupported79
Text9

Dataset

Description사업체조사 산업중분류, 대표자연령대 및 읍면동별 사업체수, 종사자수(2013년) 정보 입니다.
Author경기도 용인시
URLhttps://www.data.go.kr/data/15053395/fileData.do

Alerts

Dataset has 7 (1.0%) duplicate rowsDuplicates
9. 산업중분류, 대표자연령대 및 읍면동별 사업체수, 종사자수 has 580 (86.1%) missing valuesMissing
Unnamed: 1 has 22 (3.3%) missing valuesMissing
Unnamed: 2 has 21 (3.1%) missing valuesMissing
Unnamed: 3 has 22 (3.3%) missing valuesMissing
Unnamed: 4 has 21 (3.1%) missing valuesMissing
Unnamed: 5 has 22 (3.3%) missing valuesMissing
Unnamed: 6 has 21 (3.1%) missing valuesMissing
Unnamed: 7 has 22 (3.3%) missing valuesMissing
Unnamed: 8 has 21 (3.1%) missing valuesMissing
Unnamed: 9 has 22 (3.3%) missing valuesMissing
9. Number of Establishments, Workers by Industrial Divisions, Age of Representatives & Provinces has 20 (3.0%) missing valuesMissing
Unnamed: 11 has 22 (3.3%) missing valuesMissing
Unnamed: 12 has 21 (3.1%) missing valuesMissing
Unnamed: 13 has 22 (3.3%) missing valuesMissing
Unnamed: 14 has 21 (3.1%) missing valuesMissing
Unnamed: 15 has 22 (3.3%) missing valuesMissing
Unnamed: 16 has 21 (3.1%) missing valuesMissing
Unnamed: 17 has 22 (3.3%) missing valuesMissing
Unnamed: 18 has 21 (3.1%) missing valuesMissing
Unnamed: 19 has 22 (3.3%) missing valuesMissing
Unnamed: 20 has 580 (86.1%) missing valuesMissing
Unnamed: 21 has 23 (3.4%) missing valuesMissing
9. 산업중분류, 대표자연령대 및 읍면동별 사업체수, 종사자수.1 has 580 (86.1%) missing valuesMissing
Unnamed: 23 has 22 (3.3%) missing valuesMissing
Unnamed: 24 has 21 (3.1%) missing valuesMissing
Unnamed: 25 has 22 (3.3%) missing valuesMissing
Unnamed: 26 has 21 (3.1%) missing valuesMissing
Unnamed: 27 has 22 (3.3%) missing valuesMissing
Unnamed: 28 has 21 (3.1%) missing valuesMissing
Unnamed: 29 has 22 (3.3%) missing valuesMissing
Unnamed: 30 has 21 (3.1%) missing valuesMissing
Unnamed: 31 has 22 (3.3%) missing valuesMissing
9. Number of Establishments, Workers by Industrial Divisions, Age of Representatives & Provinces.1 has 20 (3.0%) missing valuesMissing
Unnamed: 33 has 22 (3.3%) missing valuesMissing
Unnamed: 34 has 21 (3.1%) missing valuesMissing
Unnamed: 35 has 22 (3.3%) missing valuesMissing
Unnamed: 36 has 21 (3.1%) missing valuesMissing
Unnamed: 37 has 22 (3.3%) missing valuesMissing
Unnamed: 38 has 21 (3.1%) missing valuesMissing
Unnamed: 39 has 22 (3.3%) missing valuesMissing
Unnamed: 40 has 21 (3.1%) missing valuesMissing
Unnamed: 41 has 22 (3.3%) missing valuesMissing
Unnamed: 42 has 580 (86.1%) missing valuesMissing
Unnamed: 43 has 23 (3.4%) missing valuesMissing
9. 산업중분류, 대표자연령대 및 읍면동별 사업체수, 종사자수.2 has 580 (86.1%) missing valuesMissing
Unnamed: 45 has 22 (3.3%) missing valuesMissing
Unnamed: 46 has 21 (3.1%) missing valuesMissing
Unnamed: 47 has 22 (3.3%) missing valuesMissing
Unnamed: 48 has 21 (3.1%) missing valuesMissing
Unnamed: 49 has 22 (3.3%) missing valuesMissing
Unnamed: 50 has 21 (3.1%) missing valuesMissing
Unnamed: 51 has 22 (3.3%) missing valuesMissing
Unnamed: 52 has 21 (3.1%) missing valuesMissing
Unnamed: 53 has 22 (3.3%) missing valuesMissing
9. Number of Establishments, Workers by Industrial Divisions, Age of Representatives & Provinces.2 has 20 (3.0%) missing valuesMissing
Unnamed: 55 has 22 (3.3%) missing valuesMissing
Unnamed: 56 has 21 (3.1%) missing valuesMissing
Unnamed: 57 has 22 (3.3%) missing valuesMissing
Unnamed: 58 has 21 (3.1%) missing valuesMissing
Unnamed: 59 has 22 (3.3%) missing valuesMissing
Unnamed: 60 has 21 (3.1%) missing valuesMissing
Unnamed: 61 has 22 (3.3%) missing valuesMissing
Unnamed: 62 has 21 (3.1%) missing valuesMissing
Unnamed: 63 has 22 (3.3%) missing valuesMissing
Unnamed: 64 has 580 (86.1%) missing valuesMissing
Unnamed: 65 has 23 (3.4%) missing valuesMissing
9. 산업중분류, 대표자연령대 및 읍면동별 사업체수, 종사자수.3 has 580 (86.1%) missing valuesMissing
Unnamed: 67 has 22 (3.3%) missing valuesMissing
Unnamed: 68 has 21 (3.1%) missing valuesMissing
Unnamed: 69 has 22 (3.3%) missing valuesMissing
Unnamed: 70 has 21 (3.1%) missing valuesMissing
Unnamed: 71 has 22 (3.3%) missing valuesMissing
Unnamed: 72 has 21 (3.1%) missing valuesMissing
Unnamed: 73 has 22 (3.3%) missing valuesMissing
Unnamed: 74 has 21 (3.1%) missing valuesMissing
Unnamed: 75 has 22 (3.3%) missing valuesMissing
9. Number of Establishments, Workers by Industrial Divisions, Age of Representatives & Provinces.3 has 20 (3.0%) missing valuesMissing
Unnamed: 77 has 22 (3.3%) missing valuesMissing
Unnamed: 78 has 21 (3.1%) missing valuesMissing
Unnamed: 79 has 22 (3.3%) missing valuesMissing
Unnamed: 80 has 21 (3.1%) missing valuesMissing
Unnamed: 81 has 22 (3.3%) missing valuesMissing
Unnamed: 82 has 21 (3.1%) missing valuesMissing
Unnamed: 83 has 22 (3.3%) missing valuesMissing
Unnamed: 84 has 580 (86.1%) missing valuesMissing
Unnamed: 85 has 23 (3.4%) missing valuesMissing
Unnamed: 86 has 581 (86.2%) missing valuesMissing
Unnamed: 87 has 22 (3.3%) missing valuesMissing
9. 산업중분류, 대표자연령대 및 읍면동별 사업체수, 종사자수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 4 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 7 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 8 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 9 is an unsupported type, check if it needs cleaning or further analysisUnsupported
9. Number of Establishments, Workers by Industrial Divisions, Age of Representatives & Provinces is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 11 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 12 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 13 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 14 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 15 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 16 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 17 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 18 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 19 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 20 is an unsupported type, check if it needs cleaning or further analysisUnsupported
9. 산업중분류, 대표자연령대 및 읍면동별 사업체수, 종사자수.1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 24 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 25 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 26 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 27 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 28 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 29 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 30 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 31 is an unsupported type, check if it needs cleaning or further analysisUnsupported
9. Number of Establishments, Workers by Industrial Divisions, Age of Representatives & Provinces.1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 33 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 34 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 35 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 36 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 37 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 38 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 39 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 40 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 41 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 42 is an unsupported type, check if it needs cleaning or further analysisUnsupported
9. 산업중분류, 대표자연령대 및 읍면동별 사업체수, 종사자수.2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 46 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 47 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 48 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 49 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 50 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 51 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 52 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 53 is an unsupported type, check if it needs cleaning or further analysisUnsupported
9. Number of Establishments, Workers by Industrial Divisions, Age of Representatives & Provinces.2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 55 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 56 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 57 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 58 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 59 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 60 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 61 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 62 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 63 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 64 is an unsupported type, check if it needs cleaning or further analysisUnsupported
9. 산업중분류, 대표자연령대 및 읍면동별 사업체수, 종사자수.3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 68 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 69 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 70 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 71 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 72 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 73 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 74 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 75 is an unsupported type, check if it needs cleaning or further analysisUnsupported
9. Number of Establishments, Workers by Industrial Divisions, Age of Representatives & Provinces.3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 77 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 78 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 79 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 80 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 81 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 82 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 83 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 84 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 86 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 14:07:20.522241
Analysis finished2023-12-12 14:07:21.995139
Duration1.47 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Missing580
Missing (%)86.1%
Memory size5.4 KiB

Unnamed: 1
Text

MISSING 

Distinct100
Distinct (%)15.3%
Missing22
Missing (%)3.3%
Memory size5.4 KiB
2023-12-12T23:07:22.342417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length6
Mean length7.0843558
Min length2

Characters and Unicode

Total characters4619
Distinct characters193
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

Unique94 ?
Unique (%)14.4%

Sample

1st row산업분류 Industrial classification
2nd row전산업
3rd row20세 미만
4th row20~29세
5th row30~39세
ValueCountFrequency (%)
60세 93
 
8.5%
20~29세 93
 
8.5%
30~39세 93
 
8.5%
40~49세 93
 
8.5%
20세 93
 
8.5%
미만 93
 
8.5%
50~59세 93
 
8.5%
이상 93
 
8.5%
50
 
4.6%
제조업 21
 
1.9%
Other values (197) 274
25.2%
2023-12-12T23:07:22.897598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 565
12.2%
559
12.1%
437
 
9.5%
~ 389
 
8.4%
9 379
 
8.2%
2 281
 
6.1%
5 196
 
4.2%
4 195
 
4.2%
3 195
 
4.2%
6 103
 
2.2%
Other values (183) 1320
28.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1933
41.8%
Other Letter 1759
38.1%
Space Separator 437
 
9.5%
Math Symbol 389
 
8.4%
Other Punctuation 38
 
0.8%
Lowercase Letter 23
 
0.5%
Open Punctuation 19
 
0.4%
Close Punctuation 19
 
0.4%
Control 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
559
31.8%
100
 
5.7%
99
 
5.6%
96
 
5.5%
93
 
5.3%
93
 
5.3%
50
 
2.8%
44
 
2.5%
29
 
1.6%
27
 
1.5%
Other values (152) 569
32.3%
Lowercase Letter
ValueCountFrequency (%)
i 4
17.4%
s 3
13.0%
a 3
13.0%
c 2
8.7%
n 2
8.7%
t 2
8.7%
l 2
8.7%
d 1
 
4.3%
u 1
 
4.3%
r 1
 
4.3%
Other values (2) 2
8.7%
Decimal Number
ValueCountFrequency (%)
0 565
29.2%
9 379
19.6%
2 281
14.5%
5 196
 
10.1%
4 195
 
10.1%
3 195
 
10.1%
6 103
 
5.3%
7 7
 
0.4%
8 7
 
0.4%
1 5
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 29
76.3%
; 7
 
18.4%
· 2
 
5.3%
Space Separator
ValueCountFrequency (%)
437
100.0%
Math Symbol
ValueCountFrequency (%)
~ 389
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Uppercase Letter
ValueCountFrequency (%)
I 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2836
61.4%
Hangul 1759
38.1%
Latin 24
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
559
31.8%
100
 
5.7%
99
 
5.6%
96
 
5.5%
93
 
5.3%
93
 
5.3%
50
 
2.8%
44
 
2.5%
29
 
1.6%
27
 
1.5%
Other values (152) 569
32.3%
Common
ValueCountFrequency (%)
0 565
19.9%
437
15.4%
~ 389
13.7%
9 379
13.4%
2 281
9.9%
5 196
 
6.9%
4 195
 
6.9%
3 195
 
6.9%
6 103
 
3.6%
, 29
 
1.0%
Other values (8) 67
 
2.4%
Latin
ValueCountFrequency (%)
i 4
16.7%
s 3
12.5%
a 3
12.5%
c 2
8.3%
n 2
8.3%
t 2
8.3%
l 2
8.3%
I 1
 
4.2%
d 1
 
4.2%
u 1
 
4.2%
Other values (3) 3
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2858
61.9%
Hangul 1759
38.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 565
19.8%
437
15.3%
~ 389
13.6%
9 379
13.3%
2 281
9.8%
5 196
 
6.9%
4 195
 
6.8%
3 195
 
6.8%
6 103
 
3.6%
, 29
 
1.0%
Other values (20) 89
 
3.1%
Hangul
ValueCountFrequency (%)
559
31.8%
100
 
5.7%
99
 
5.6%
96
 
5.5%
93
 
5.3%
93
 
5.3%
50
 
2.8%
44
 
2.5%
29
 
1.6%
27
 
1.5%
Other values (152) 569
32.3%
None
ValueCountFrequency (%)
· 2
100.0%

Unnamed: 2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.1%
Memory size5.4 KiB

Unnamed: 3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)3.3%
Memory size5.4 KiB

Unnamed: 4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.1%
Memory size5.4 KiB

Unnamed: 5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)3.3%
Memory size5.4 KiB

Unnamed: 6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.1%
Memory size5.4 KiB

Unnamed: 7
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)3.3%
Memory size5.4 KiB

Unnamed: 8
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.1%
Memory size5.4 KiB

Unnamed: 9
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)3.3%
Memory size5.4 KiB
Missing20
Missing (%)3.0%
Memory size5.4 KiB

Unnamed: 11
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)3.3%
Memory size5.4 KiB

Unnamed: 12
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.1%
Memory size5.4 KiB

Unnamed: 13
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)3.3%
Memory size5.4 KiB

Unnamed: 14
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.1%
Memory size5.4 KiB

Unnamed: 15
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)3.3%
Memory size5.4 KiB

Unnamed: 16
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.1%
Memory size5.4 KiB

Unnamed: 17
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)3.3%
Memory size5.4 KiB

Unnamed: 18
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.1%
Memory size5.4 KiB

Unnamed: 19
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)3.3%
Memory size5.4 KiB

Unnamed: 20
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing580
Missing (%)86.1%
Memory size5.4 KiB

Unnamed: 21
Text

MISSING 

Distinct99
Distinct (%)15.2%
Missing23
Missing (%)3.4%
Memory size5.4 KiB
2023-12-12T23:07:23.328664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length14
Mean length13.049155
Min length2

Characters and Unicode

Total characters8495
Distinct characters187
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)14.3%

Sample

1st row전산업
2nd rowless than 20
3rd row20 to 29 years
4th row30 to 39 years
5th row40 to 49 years
ValueCountFrequency (%)
to 372
15.6%
years 372
15.6%
20 186
 
7.8%
39 94
 
3.9%
less 93
 
3.9%
29 93
 
3.9%
30 93
 
3.9%
49 93
 
3.9%
than 93
 
3.9%
40 93
 
3.9%
Other values (200) 806
33.8%
2023-12-12T23:07:23.883252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1738
20.5%
0 565
 
6.7%
s 558
 
6.6%
e 558
 
6.6%
o 558
 
6.6%
r 558
 
6.6%
t 465
 
5.5%
a 465
 
5.5%
9 379
 
4.5%
y 372
 
4.4%
Other values (177) 2279
26.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3906
46.0%
Decimal Number 1933
22.8%
Space Separator 1738
20.5%
Other Letter 825
 
9.7%
Other Punctuation 38
 
0.4%
Open Punctuation 19
 
0.2%
Close Punctuation 19
 
0.2%
Math Symbol 17
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
99
 
12.0%
50
 
6.1%
44
 
5.3%
29
 
3.5%
27
 
3.3%
26
 
3.2%
25
 
3.0%
22
 
2.7%
17
 
2.1%
11
 
1.3%
Other values (149) 475
57.6%
Lowercase Letter
ValueCountFrequency (%)
s 558
14.3%
e 558
14.3%
o 558
14.3%
r 558
14.3%
t 465
11.9%
a 465
11.9%
y 372
9.5%
l 93
 
2.4%
m 93
 
2.4%
n 93
 
2.4%
Decimal Number
ValueCountFrequency (%)
0 565
29.2%
9 379
19.6%
2 281
14.5%
5 196
 
10.1%
4 195
 
10.1%
3 195
 
10.1%
6 103
 
5.3%
8 7
 
0.4%
7 7
 
0.4%
1 5
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 29
76.3%
; 7
 
18.4%
· 2
 
5.3%
Space Separator
ValueCountFrequency (%)
1738
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Math Symbol
ValueCountFrequency (%)
~ 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3906
46.0%
Common 3764
44.3%
Hangul 825
 
9.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
99
 
12.0%
50
 
6.1%
44
 
5.3%
29
 
3.5%
27
 
3.3%
26
 
3.2%
25
 
3.0%
22
 
2.7%
17
 
2.1%
11
 
1.3%
Other values (149) 475
57.6%
Common
ValueCountFrequency (%)
1738
46.2%
0 565
 
15.0%
9 379
 
10.1%
2 281
 
7.5%
5 196
 
5.2%
4 195
 
5.2%
3 195
 
5.2%
6 103
 
2.7%
, 29
 
0.8%
( 19
 
0.5%
Other values (7) 64
 
1.7%
Latin
ValueCountFrequency (%)
s 558
14.3%
e 558
14.3%
o 558
14.3%
r 558
14.3%
t 465
11.9%
a 465
11.9%
y 372
9.5%
l 93
 
2.4%
m 93
 
2.4%
n 93
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7668
90.3%
Hangul 825
 
9.7%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1738
22.7%
0 565
 
7.4%
s 558
 
7.3%
e 558
 
7.3%
o 558
 
7.3%
r 558
 
7.3%
t 465
 
6.1%
a 465
 
6.1%
9 379
 
4.9%
y 372
 
4.9%
Other values (17) 1452
18.9%
Hangul
ValueCountFrequency (%)
99
 
12.0%
50
 
6.1%
44
 
5.3%
29
 
3.5%
27
 
3.3%
26
 
3.2%
25
 
3.0%
22
 
2.7%
17
 
2.1%
11
 
1.3%
Other values (149) 475
57.6%
None
ValueCountFrequency (%)
· 2
100.0%
Missing580
Missing (%)86.1%
Memory size5.4 KiB

Unnamed: 23
Text

MISSING 

Distinct100
Distinct (%)15.3%
Missing22
Missing (%)3.3%
Memory size5.4 KiB
2023-12-12T23:07:24.356703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length6
Mean length7.0843558
Min length2

Characters and Unicode

Total characters4619
Distinct characters193
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

Unique94 ?
Unique (%)14.4%

Sample

1st row산업분류 Industrial classification
2nd row전산업
3rd row20세 미만
4th row20~29세
5th row30~39세
ValueCountFrequency (%)
60세 93
 
8.5%
20~29세 93
 
8.5%
30~39세 93
 
8.5%
40~49세 93
 
8.5%
20세 93
 
8.5%
미만 93
 
8.5%
50~59세 93
 
8.5%
이상 93
 
8.5%
50
 
4.6%
제조업 21
 
1.9%
Other values (197) 274
25.2%
2023-12-12T23:07:25.045933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 565
12.2%
559
12.1%
437
 
9.5%
~ 389
 
8.4%
9 379
 
8.2%
2 281
 
6.1%
5 196
 
4.2%
4 195
 
4.2%
3 195
 
4.2%
6 103
 
2.2%
Other values (183) 1320
28.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1933
41.8%
Other Letter 1759
38.1%
Space Separator 437
 
9.5%
Math Symbol 389
 
8.4%
Other Punctuation 38
 
0.8%
Lowercase Letter 23
 
0.5%
Open Punctuation 19
 
0.4%
Close Punctuation 19
 
0.4%
Control 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
559
31.8%
100
 
5.7%
99
 
5.6%
96
 
5.5%
93
 
5.3%
93
 
5.3%
50
 
2.8%
44
 
2.5%
29
 
1.6%
27
 
1.5%
Other values (152) 569
32.3%
Lowercase Letter
ValueCountFrequency (%)
i 4
17.4%
s 3
13.0%
a 3
13.0%
c 2
8.7%
n 2
8.7%
t 2
8.7%
l 2
8.7%
d 1
 
4.3%
u 1
 
4.3%
r 1
 
4.3%
Other values (2) 2
8.7%
Decimal Number
ValueCountFrequency (%)
0 565
29.2%
9 379
19.6%
2 281
14.5%
5 196
 
10.1%
4 195
 
10.1%
3 195
 
10.1%
6 103
 
5.3%
7 7
 
0.4%
8 7
 
0.4%
1 5
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 29
76.3%
; 7
 
18.4%
· 2
 
5.3%
Space Separator
ValueCountFrequency (%)
437
100.0%
Math Symbol
ValueCountFrequency (%)
~ 389
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Uppercase Letter
ValueCountFrequency (%)
I 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2836
61.4%
Hangul 1759
38.1%
Latin 24
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
559
31.8%
100
 
5.7%
99
 
5.6%
96
 
5.5%
93
 
5.3%
93
 
5.3%
50
 
2.8%
44
 
2.5%
29
 
1.6%
27
 
1.5%
Other values (152) 569
32.3%
Common
ValueCountFrequency (%)
0 565
19.9%
437
15.4%
~ 389
13.7%
9 379
13.4%
2 281
9.9%
5 196
 
6.9%
4 195
 
6.9%
3 195
 
6.9%
6 103
 
3.6%
, 29
 
1.0%
Other values (8) 67
 
2.4%
Latin
ValueCountFrequency (%)
i 4
16.7%
s 3
12.5%
a 3
12.5%
c 2
8.3%
n 2
8.3%
t 2
8.3%
l 2
8.3%
I 1
 
4.2%
d 1
 
4.2%
u 1
 
4.2%
Other values (3) 3
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2858
61.9%
Hangul 1759
38.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 565
19.8%
437
15.3%
~ 389
13.6%
9 379
13.3%
2 281
9.8%
5 196
 
6.9%
4 195
 
6.8%
3 195
 
6.8%
6 103
 
3.6%
, 29
 
1.0%
Other values (20) 89
 
3.1%
Hangul
ValueCountFrequency (%)
559
31.8%
100
 
5.7%
99
 
5.6%
96
 
5.5%
93
 
5.3%
93
 
5.3%
50
 
2.8%
44
 
2.5%
29
 
1.6%
27
 
1.5%
Other values (152) 569
32.3%
None
ValueCountFrequency (%)
· 2
100.0%

Unnamed: 24
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.1%
Memory size5.4 KiB

Unnamed: 25
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)3.3%
Memory size5.4 KiB

Unnamed: 26
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.1%
Memory size5.4 KiB

Unnamed: 27
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)3.3%
Memory size5.4 KiB

Unnamed: 28
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.1%
Memory size5.4 KiB

Unnamed: 29
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)3.3%
Memory size5.4 KiB

Unnamed: 30
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.1%
Memory size5.4 KiB

Unnamed: 31
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)3.3%
Memory size5.4 KiB
Missing20
Missing (%)3.0%
Memory size5.4 KiB

Unnamed: 33
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)3.3%
Memory size5.4 KiB

Unnamed: 34
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.1%
Memory size5.4 KiB

Unnamed: 35
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)3.3%
Memory size5.4 KiB

Unnamed: 36
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.1%
Memory size5.4 KiB

Unnamed: 37
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)3.3%
Memory size5.4 KiB

Unnamed: 38
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.1%
Memory size5.4 KiB

Unnamed: 39
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)3.3%
Memory size5.4 KiB

Unnamed: 40
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.1%
Memory size5.4 KiB

Unnamed: 41
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)3.3%
Memory size5.4 KiB

Unnamed: 42
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing580
Missing (%)86.1%
Memory size5.4 KiB

Unnamed: 43
Text

MISSING 

Distinct99
Distinct (%)15.2%
Missing23
Missing (%)3.4%
Memory size5.4 KiB
2023-12-12T23:07:25.516805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length14
Mean length13.049155
Min length2

Characters and Unicode

Total characters8495
Distinct characters187
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)14.3%

Sample

1st row전산업
2nd rowless than 20
3rd row20 to 29 years
4th row30 to 39 years
5th row40 to 49 years
ValueCountFrequency (%)
to 372
15.6%
years 372
15.6%
20 186
 
7.8%
39 94
 
3.9%
less 93
 
3.9%
29 93
 
3.9%
30 93
 
3.9%
49 93
 
3.9%
than 93
 
3.9%
40 93
 
3.9%
Other values (200) 806
33.8%
2023-12-12T23:07:26.105335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1738
20.5%
0 565
 
6.7%
s 558
 
6.6%
e 558
 
6.6%
o 558
 
6.6%
r 558
 
6.6%
t 465
 
5.5%
a 465
 
5.5%
9 379
 
4.5%
y 372
 
4.4%
Other values (177) 2279
26.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3906
46.0%
Decimal Number 1933
22.8%
Space Separator 1738
20.5%
Other Letter 825
 
9.7%
Other Punctuation 38
 
0.4%
Open Punctuation 19
 
0.2%
Close Punctuation 19
 
0.2%
Math Symbol 17
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
99
 
12.0%
50
 
6.1%
44
 
5.3%
29
 
3.5%
27
 
3.3%
26
 
3.2%
25
 
3.0%
22
 
2.7%
17
 
2.1%
11
 
1.3%
Other values (149) 475
57.6%
Lowercase Letter
ValueCountFrequency (%)
s 558
14.3%
e 558
14.3%
o 558
14.3%
r 558
14.3%
t 465
11.9%
a 465
11.9%
y 372
9.5%
l 93
 
2.4%
m 93
 
2.4%
n 93
 
2.4%
Decimal Number
ValueCountFrequency (%)
0 565
29.2%
9 379
19.6%
2 281
14.5%
5 196
 
10.1%
4 195
 
10.1%
3 195
 
10.1%
6 103
 
5.3%
8 7
 
0.4%
7 7
 
0.4%
1 5
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 29
76.3%
; 7
 
18.4%
· 2
 
5.3%
Space Separator
ValueCountFrequency (%)
1738
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Math Symbol
ValueCountFrequency (%)
~ 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3906
46.0%
Common 3764
44.3%
Hangul 825
 
9.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
99
 
12.0%
50
 
6.1%
44
 
5.3%
29
 
3.5%
27
 
3.3%
26
 
3.2%
25
 
3.0%
22
 
2.7%
17
 
2.1%
11
 
1.3%
Other values (149) 475
57.6%
Common
ValueCountFrequency (%)
1738
46.2%
0 565
 
15.0%
9 379
 
10.1%
2 281
 
7.5%
5 196
 
5.2%
4 195
 
5.2%
3 195
 
5.2%
6 103
 
2.7%
, 29
 
0.8%
( 19
 
0.5%
Other values (7) 64
 
1.7%
Latin
ValueCountFrequency (%)
s 558
14.3%
e 558
14.3%
o 558
14.3%
r 558
14.3%
t 465
11.9%
a 465
11.9%
y 372
9.5%
l 93
 
2.4%
m 93
 
2.4%
n 93
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7668
90.3%
Hangul 825
 
9.7%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1738
22.7%
0 565
 
7.4%
s 558
 
7.3%
e 558
 
7.3%
o 558
 
7.3%
r 558
 
7.3%
t 465
 
6.1%
a 465
 
6.1%
9 379
 
4.9%
y 372
 
4.9%
Other values (17) 1452
18.9%
Hangul
ValueCountFrequency (%)
99
 
12.0%
50
 
6.1%
44
 
5.3%
29
 
3.5%
27
 
3.3%
26
 
3.2%
25
 
3.0%
22
 
2.7%
17
 
2.1%
11
 
1.3%
Other values (149) 475
57.6%
None
ValueCountFrequency (%)
· 2
100.0%
Missing580
Missing (%)86.1%
Memory size5.4 KiB

Unnamed: 45
Text

MISSING 

Distinct100
Distinct (%)15.3%
Missing22
Missing (%)3.3%
Memory size5.4 KiB
2023-12-12T23:07:26.530676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length6
Mean length7.0843558
Min length2

Characters and Unicode

Total characters4619
Distinct characters193
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

Unique94 ?
Unique (%)14.4%

Sample

1st row산업분류 Industrial classification
2nd row전산업
3rd row20세 미만
4th row20~29세
5th row30~39세
ValueCountFrequency (%)
60세 93
 
8.5%
20~29세 93
 
8.5%
30~39세 93
 
8.5%
40~49세 93
 
8.5%
20세 93
 
8.5%
미만 93
 
8.5%
50~59세 93
 
8.5%
이상 93
 
8.5%
50
 
4.6%
제조업 21
 
1.9%
Other values (197) 274
25.2%
2023-12-12T23:07:27.198786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 565
12.2%
559
12.1%
437
 
9.5%
~ 389
 
8.4%
9 379
 
8.2%
2 281
 
6.1%
5 196
 
4.2%
4 195
 
4.2%
3 195
 
4.2%
6 103
 
2.2%
Other values (183) 1320
28.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1933
41.8%
Other Letter 1759
38.1%
Space Separator 437
 
9.5%
Math Symbol 389
 
8.4%
Other Punctuation 38
 
0.8%
Lowercase Letter 23
 
0.5%
Open Punctuation 19
 
0.4%
Close Punctuation 19
 
0.4%
Control 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
559
31.8%
100
 
5.7%
99
 
5.6%
96
 
5.5%
93
 
5.3%
93
 
5.3%
50
 
2.8%
44
 
2.5%
29
 
1.6%
27
 
1.5%
Other values (152) 569
32.3%
Lowercase Letter
ValueCountFrequency (%)
i 4
17.4%
s 3
13.0%
a 3
13.0%
c 2
8.7%
n 2
8.7%
t 2
8.7%
l 2
8.7%
d 1
 
4.3%
u 1
 
4.3%
r 1
 
4.3%
Other values (2) 2
8.7%
Decimal Number
ValueCountFrequency (%)
0 565
29.2%
9 379
19.6%
2 281
14.5%
5 196
 
10.1%
4 195
 
10.1%
3 195
 
10.1%
6 103
 
5.3%
7 7
 
0.4%
8 7
 
0.4%
1 5
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 29
76.3%
; 7
 
18.4%
· 2
 
5.3%
Space Separator
ValueCountFrequency (%)
437
100.0%
Math Symbol
ValueCountFrequency (%)
~ 389
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Uppercase Letter
ValueCountFrequency (%)
I 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2836
61.4%
Hangul 1759
38.1%
Latin 24
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
559
31.8%
100
 
5.7%
99
 
5.6%
96
 
5.5%
93
 
5.3%
93
 
5.3%
50
 
2.8%
44
 
2.5%
29
 
1.6%
27
 
1.5%
Other values (152) 569
32.3%
Common
ValueCountFrequency (%)
0 565
19.9%
437
15.4%
~ 389
13.7%
9 379
13.4%
2 281
9.9%
5 196
 
6.9%
4 195
 
6.9%
3 195
 
6.9%
6 103
 
3.6%
, 29
 
1.0%
Other values (8) 67
 
2.4%
Latin
ValueCountFrequency (%)
i 4
16.7%
s 3
12.5%
a 3
12.5%
c 2
8.3%
n 2
8.3%
t 2
8.3%
l 2
8.3%
I 1
 
4.2%
d 1
 
4.2%
u 1
 
4.2%
Other values (3) 3
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2858
61.9%
Hangul 1759
38.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 565
19.8%
437
15.3%
~ 389
13.6%
9 379
13.3%
2 281
9.8%
5 196
 
6.9%
4 195
 
6.8%
3 195
 
6.8%
6 103
 
3.6%
, 29
 
1.0%
Other values (20) 89
 
3.1%
Hangul
ValueCountFrequency (%)
559
31.8%
100
 
5.7%
99
 
5.6%
96
 
5.5%
93
 
5.3%
93
 
5.3%
50
 
2.8%
44
 
2.5%
29
 
1.6%
27
 
1.5%
Other values (152) 569
32.3%
None
ValueCountFrequency (%)
· 2
100.0%

Unnamed: 46
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.1%
Memory size5.4 KiB

Unnamed: 47
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)3.3%
Memory size5.4 KiB

Unnamed: 48
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.1%
Memory size5.4 KiB

Unnamed: 49
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)3.3%
Memory size5.4 KiB

Unnamed: 50
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.1%
Memory size5.4 KiB

Unnamed: 51
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)3.3%
Memory size5.4 KiB

Unnamed: 52
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.1%
Memory size5.4 KiB

Unnamed: 53
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)3.3%
Memory size5.4 KiB
Missing20
Missing (%)3.0%
Memory size5.4 KiB

Unnamed: 55
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)3.3%
Memory size5.4 KiB

Unnamed: 56
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.1%
Memory size5.4 KiB

Unnamed: 57
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)3.3%
Memory size5.4 KiB

Unnamed: 58
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.1%
Memory size5.4 KiB

Unnamed: 59
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)3.3%
Memory size5.4 KiB

Unnamed: 60
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.1%
Memory size5.4 KiB

Unnamed: 61
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)3.3%
Memory size5.4 KiB

Unnamed: 62
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.1%
Memory size5.4 KiB

Unnamed: 63
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)3.3%
Memory size5.4 KiB

Unnamed: 64
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing580
Missing (%)86.1%
Memory size5.4 KiB

Unnamed: 65
Text

MISSING 

Distinct99
Distinct (%)15.2%
Missing23
Missing (%)3.4%
Memory size5.4 KiB
2023-12-12T23:07:27.918231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length14
Mean length13.049155
Min length2

Characters and Unicode

Total characters8495
Distinct characters187
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)14.3%

Sample

1st row전산업
2nd rowless than 20
3rd row20 to 29 years
4th row30 to 39 years
5th row40 to 49 years
ValueCountFrequency (%)
to 372
15.6%
years 372
15.6%
20 186
 
7.8%
39 94
 
3.9%
less 93
 
3.9%
29 93
 
3.9%
30 93
 
3.9%
49 93
 
3.9%
than 93
 
3.9%
40 93
 
3.9%
Other values (200) 806
33.8%
2023-12-12T23:07:28.460135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1738
20.5%
0 565
 
6.7%
s 558
 
6.6%
e 558
 
6.6%
o 558
 
6.6%
r 558
 
6.6%
t 465
 
5.5%
a 465
 
5.5%
9 379
 
4.5%
y 372
 
4.4%
Other values (177) 2279
26.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3906
46.0%
Decimal Number 1933
22.8%
Space Separator 1738
20.5%
Other Letter 825
 
9.7%
Other Punctuation 38
 
0.4%
Open Punctuation 19
 
0.2%
Close Punctuation 19
 
0.2%
Math Symbol 17
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
99
 
12.0%
50
 
6.1%
44
 
5.3%
29
 
3.5%
27
 
3.3%
26
 
3.2%
25
 
3.0%
22
 
2.7%
17
 
2.1%
11
 
1.3%
Other values (149) 475
57.6%
Lowercase Letter
ValueCountFrequency (%)
s 558
14.3%
e 558
14.3%
o 558
14.3%
r 558
14.3%
t 465
11.9%
a 465
11.9%
y 372
9.5%
l 93
 
2.4%
m 93
 
2.4%
n 93
 
2.4%
Decimal Number
ValueCountFrequency (%)
0 565
29.2%
9 379
19.6%
2 281
14.5%
5 196
 
10.1%
4 195
 
10.1%
3 195
 
10.1%
6 103
 
5.3%
8 7
 
0.4%
7 7
 
0.4%
1 5
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 29
76.3%
; 7
 
18.4%
· 2
 
5.3%
Space Separator
ValueCountFrequency (%)
1738
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Math Symbol
ValueCountFrequency (%)
~ 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3906
46.0%
Common 3764
44.3%
Hangul 825
 
9.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
99
 
12.0%
50
 
6.1%
44
 
5.3%
29
 
3.5%
27
 
3.3%
26
 
3.2%
25
 
3.0%
22
 
2.7%
17
 
2.1%
11
 
1.3%
Other values (149) 475
57.6%
Common
ValueCountFrequency (%)
1738
46.2%
0 565
 
15.0%
9 379
 
10.1%
2 281
 
7.5%
5 196
 
5.2%
4 195
 
5.2%
3 195
 
5.2%
6 103
 
2.7%
, 29
 
0.8%
( 19
 
0.5%
Other values (7) 64
 
1.7%
Latin
ValueCountFrequency (%)
s 558
14.3%
e 558
14.3%
o 558
14.3%
r 558
14.3%
t 465
11.9%
a 465
11.9%
y 372
9.5%
l 93
 
2.4%
m 93
 
2.4%
n 93
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7668
90.3%
Hangul 825
 
9.7%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1738
22.7%
0 565
 
7.4%
s 558
 
7.3%
e 558
 
7.3%
o 558
 
7.3%
r 558
 
7.3%
t 465
 
6.1%
a 465
 
6.1%
9 379
 
4.9%
y 372
 
4.9%
Other values (17) 1452
18.9%
Hangul
ValueCountFrequency (%)
99
 
12.0%
50
 
6.1%
44
 
5.3%
29
 
3.5%
27
 
3.3%
26
 
3.2%
25
 
3.0%
22
 
2.7%
17
 
2.1%
11
 
1.3%
Other values (149) 475
57.6%
None
ValueCountFrequency (%)
· 2
100.0%
Missing580
Missing (%)86.1%
Memory size5.4 KiB

Unnamed: 67
Text

MISSING 

Distinct100
Distinct (%)15.3%
Missing22
Missing (%)3.3%
Memory size5.4 KiB
2023-12-12T23:07:28.894296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length6
Mean length7.0843558
Min length2

Characters and Unicode

Total characters4619
Distinct characters193
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

Unique94 ?
Unique (%)14.4%

Sample

1st row산업분류 Industrial classification
2nd row전산업
3rd row20세 미만
4th row20~29세
5th row30~39세
ValueCountFrequency (%)
60세 93
 
8.5%
20~29세 93
 
8.5%
30~39세 93
 
8.5%
40~49세 93
 
8.5%
20세 93
 
8.5%
미만 93
 
8.5%
50~59세 93
 
8.5%
이상 93
 
8.5%
50
 
4.6%
제조업 21
 
1.9%
Other values (197) 274
25.2%
2023-12-12T23:07:29.546971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 565
12.2%
559
12.1%
437
 
9.5%
~ 389
 
8.4%
9 379
 
8.2%
2 281
 
6.1%
5 196
 
4.2%
4 195
 
4.2%
3 195
 
4.2%
6 103
 
2.2%
Other values (183) 1320
28.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1933
41.8%
Other Letter 1759
38.1%
Space Separator 437
 
9.5%
Math Symbol 389
 
8.4%
Other Punctuation 38
 
0.8%
Lowercase Letter 23
 
0.5%
Open Punctuation 19
 
0.4%
Close Punctuation 19
 
0.4%
Control 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
559
31.8%
100
 
5.7%
99
 
5.6%
96
 
5.5%
93
 
5.3%
93
 
5.3%
50
 
2.8%
44
 
2.5%
29
 
1.6%
27
 
1.5%
Other values (152) 569
32.3%
Lowercase Letter
ValueCountFrequency (%)
i 4
17.4%
s 3
13.0%
a 3
13.0%
c 2
8.7%
n 2
8.7%
t 2
8.7%
l 2
8.7%
d 1
 
4.3%
u 1
 
4.3%
r 1
 
4.3%
Other values (2) 2
8.7%
Decimal Number
ValueCountFrequency (%)
0 565
29.2%
9 379
19.6%
2 281
14.5%
5 196
 
10.1%
4 195
 
10.1%
3 195
 
10.1%
6 103
 
5.3%
7 7
 
0.4%
8 7
 
0.4%
1 5
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 29
76.3%
; 7
 
18.4%
· 2
 
5.3%
Space Separator
ValueCountFrequency (%)
437
100.0%
Math Symbol
ValueCountFrequency (%)
~ 389
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Uppercase Letter
ValueCountFrequency (%)
I 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2836
61.4%
Hangul 1759
38.1%
Latin 24
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
559
31.8%
100
 
5.7%
99
 
5.6%
96
 
5.5%
93
 
5.3%
93
 
5.3%
50
 
2.8%
44
 
2.5%
29
 
1.6%
27
 
1.5%
Other values (152) 569
32.3%
Common
ValueCountFrequency (%)
0 565
19.9%
437
15.4%
~ 389
13.7%
9 379
13.4%
2 281
9.9%
5 196
 
6.9%
4 195
 
6.9%
3 195
 
6.9%
6 103
 
3.6%
, 29
 
1.0%
Other values (8) 67
 
2.4%
Latin
ValueCountFrequency (%)
i 4
16.7%
s 3
12.5%
a 3
12.5%
c 2
8.3%
n 2
8.3%
t 2
8.3%
l 2
8.3%
I 1
 
4.2%
d 1
 
4.2%
u 1
 
4.2%
Other values (3) 3
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2858
61.9%
Hangul 1759
38.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 565
19.8%
437
15.3%
~ 389
13.6%
9 379
13.3%
2 281
9.8%
5 196
 
6.9%
4 195
 
6.8%
3 195
 
6.8%
6 103
 
3.6%
, 29
 
1.0%
Other values (20) 89
 
3.1%
Hangul
ValueCountFrequency (%)
559
31.8%
100
 
5.7%
99
 
5.6%
96
 
5.5%
93
 
5.3%
93
 
5.3%
50
 
2.8%
44
 
2.5%
29
 
1.6%
27
 
1.5%
Other values (152) 569
32.3%
None
ValueCountFrequency (%)
· 2
100.0%

Unnamed: 68
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.1%
Memory size5.4 KiB

Unnamed: 69
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)3.3%
Memory size5.4 KiB

Unnamed: 70
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.1%
Memory size5.4 KiB

Unnamed: 71
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)3.3%
Memory size5.4 KiB

Unnamed: 72
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.1%
Memory size5.4 KiB

Unnamed: 73
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)3.3%
Memory size5.4 KiB

Unnamed: 74
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.1%
Memory size5.4 KiB

Unnamed: 75
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)3.3%
Memory size5.4 KiB
Missing20
Missing (%)3.0%
Memory size5.4 KiB

Unnamed: 77
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)3.3%
Memory size5.4 KiB

Unnamed: 78
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.1%
Memory size5.4 KiB

Unnamed: 79
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)3.3%
Memory size5.4 KiB

Unnamed: 80
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.1%
Memory size5.4 KiB

Unnamed: 81
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)3.3%
Memory size5.4 KiB

Unnamed: 82
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.1%
Memory size5.4 KiB

Unnamed: 83
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)3.3%
Memory size5.4 KiB

Unnamed: 84
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing580
Missing (%)86.1%
Memory size5.4 KiB

Unnamed: 85
Text

MISSING 

Distinct99
Distinct (%)15.2%
Missing23
Missing (%)3.4%
Memory size5.4 KiB
2023-12-12T23:07:29.905200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length14
Mean length13.049155
Min length2

Characters and Unicode

Total characters8495
Distinct characters187
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)14.3%

Sample

1st row전산업
2nd rowless than 20
3rd row20 to 29 years
4th row30 to 39 years
5th row40 to 49 years
ValueCountFrequency (%)
to 372
15.6%
years 372
15.6%
20 186
 
7.8%
39 94
 
3.9%
less 93
 
3.9%
29 93
 
3.9%
30 93
 
3.9%
49 93
 
3.9%
than 93
 
3.9%
40 93
 
3.9%
Other values (200) 806
33.8%
2023-12-12T23:07:30.436615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1738
20.5%
0 565
 
6.7%
s 558
 
6.6%
e 558
 
6.6%
o 558
 
6.6%
r 558
 
6.6%
t 465
 
5.5%
a 465
 
5.5%
9 379
 
4.5%
y 372
 
4.4%
Other values (177) 2279
26.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3906
46.0%
Decimal Number 1933
22.8%
Space Separator 1738
20.5%
Other Letter 825
 
9.7%
Other Punctuation 38
 
0.4%
Open Punctuation 19
 
0.2%
Close Punctuation 19
 
0.2%
Math Symbol 17
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
99
 
12.0%
50
 
6.1%
44
 
5.3%
29
 
3.5%
27
 
3.3%
26
 
3.2%
25
 
3.0%
22
 
2.7%
17
 
2.1%
11
 
1.3%
Other values (149) 475
57.6%
Lowercase Letter
ValueCountFrequency (%)
s 558
14.3%
e 558
14.3%
o 558
14.3%
r 558
14.3%
t 465
11.9%
a 465
11.9%
y 372
9.5%
l 93
 
2.4%
m 93
 
2.4%
n 93
 
2.4%
Decimal Number
ValueCountFrequency (%)
0 565
29.2%
9 379
19.6%
2 281
14.5%
5 196
 
10.1%
4 195
 
10.1%
3 195
 
10.1%
6 103
 
5.3%
8 7
 
0.4%
7 7
 
0.4%
1 5
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 29
76.3%
; 7
 
18.4%
· 2
 
5.3%
Space Separator
ValueCountFrequency (%)
1738
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Math Symbol
ValueCountFrequency (%)
~ 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3906
46.0%
Common 3764
44.3%
Hangul 825
 
9.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
99
 
12.0%
50
 
6.1%
44
 
5.3%
29
 
3.5%
27
 
3.3%
26
 
3.2%
25
 
3.0%
22
 
2.7%
17
 
2.1%
11
 
1.3%
Other values (149) 475
57.6%
Common
ValueCountFrequency (%)
1738
46.2%
0 565
 
15.0%
9 379
 
10.1%
2 281
 
7.5%
5 196
 
5.2%
4 195
 
5.2%
3 195
 
5.2%
6 103
 
2.7%
, 29
 
0.8%
( 19
 
0.5%
Other values (7) 64
 
1.7%
Latin
ValueCountFrequency (%)
s 558
14.3%
e 558
14.3%
o 558
14.3%
r 558
14.3%
t 465
11.9%
a 465
11.9%
y 372
9.5%
l 93
 
2.4%
m 93
 
2.4%
n 93
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7668
90.3%
Hangul 825
 
9.7%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1738
22.7%
0 565
 
7.4%
s 558
 
7.3%
e 558
 
7.3%
o 558
 
7.3%
r 558
 
7.3%
t 465
 
6.1%
a 465
 
6.1%
9 379
 
4.9%
y 372
 
4.9%
Other values (17) 1452
18.9%
Hangul
ValueCountFrequency (%)
99
 
12.0%
50
 
6.1%
44
 
5.3%
29
 
3.5%
27
 
3.3%
26
 
3.2%
25
 
3.0%
22
 
2.7%
17
 
2.1%
11
 
1.3%
Other values (149) 475
57.6%
None
ValueCountFrequency (%)
· 2
100.0%

Unnamed: 86
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing581
Missing (%)86.2%
Memory size5.4 KiB

Unnamed: 87
Text

MISSING 

Distinct100
Distinct (%)15.3%
Missing22
Missing (%)3.3%
Memory size5.4 KiB
2023-12-12T23:07:30.857275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length6
Mean length7.0843558
Min length2

Characters and Unicode

Total characters4619
Distinct characters193
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

Unique94 ?
Unique (%)14.4%

Sample

1st row산업분류 Industrial classification
2nd row전산업
3rd row20세 미만
4th row20~29세
5th row30~39세
ValueCountFrequency (%)
60세 93
 
8.5%
20~29세 93
 
8.5%
30~39세 93
 
8.5%
40~49세 93
 
8.5%
20세 93
 
8.5%
미만 93
 
8.5%
50~59세 93
 
8.5%
이상 93
 
8.5%
50
 
4.6%
제조업 21
 
1.9%
Other values (197) 274
25.2%
2023-12-12T23:07:31.556445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 565
12.2%
559
12.1%
437
 
9.5%
~ 389
 
8.4%
9 379
 
8.2%
2 281
 
6.1%
5 196
 
4.2%
4 195
 
4.2%
3 195
 
4.2%
6 103
 
2.2%
Other values (183) 1320
28.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1933
41.8%
Other Letter 1759
38.1%
Space Separator 437
 
9.5%
Math Symbol 389
 
8.4%
Other Punctuation 38
 
0.8%
Lowercase Letter 23
 
0.5%
Open Punctuation 19
 
0.4%
Close Punctuation 19
 
0.4%
Control 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
559
31.8%
100
 
5.7%
99
 
5.6%
96
 
5.5%
93
 
5.3%
93
 
5.3%
50
 
2.8%
44
 
2.5%
29
 
1.6%
27
 
1.5%
Other values (152) 569
32.3%
Lowercase Letter
ValueCountFrequency (%)
i 4
17.4%
s 3
13.0%
a 3
13.0%
c 2
8.7%
n 2
8.7%
t 2
8.7%
l 2
8.7%
d 1
 
4.3%
u 1
 
4.3%
r 1
 
4.3%
Other values (2) 2
8.7%
Decimal Number
ValueCountFrequency (%)
0 565
29.2%
9 379
19.6%
2 281
14.5%
5 196
 
10.1%
4 195
 
10.1%
3 195
 
10.1%
6 103
 
5.3%
7 7
 
0.4%
8 7
 
0.4%
1 5
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 29
76.3%
; 7
 
18.4%
· 2
 
5.3%
Space Separator
ValueCountFrequency (%)
437
100.0%
Math Symbol
ValueCountFrequency (%)
~ 389
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Uppercase Letter
ValueCountFrequency (%)
I 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2836
61.4%
Hangul 1759
38.1%
Latin 24
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
559
31.8%
100
 
5.7%
99
 
5.6%
96
 
5.5%
93
 
5.3%
93
 
5.3%
50
 
2.8%
44
 
2.5%
29
 
1.6%
27
 
1.5%
Other values (152) 569
32.3%
Common
ValueCountFrequency (%)
0 565
19.9%
437
15.4%
~ 389
13.7%
9 379
13.4%
2 281
9.9%
5 196
 
6.9%
4 195
 
6.9%
3 195
 
6.9%
6 103
 
3.6%
, 29
 
1.0%
Other values (8) 67
 
2.4%
Latin
ValueCountFrequency (%)
i 4
16.7%
s 3
12.5%
a 3
12.5%
c 2
8.3%
n 2
8.3%
t 2
8.3%
l 2
8.3%
I 1
 
4.2%
d 1
 
4.2%
u 1
 
4.2%
Other values (3) 3
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2858
61.9%
Hangul 1759
38.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 565
19.8%
437
15.3%
~ 389
13.6%
9 379
13.3%
2 281
9.8%
5 196
 
6.9%
4 195
 
6.8%
3 195
 
6.8%
6 103
 
3.6%
, 29
 
1.0%
Other values (20) 89
 
3.1%
Hangul
ValueCountFrequency (%)
559
31.8%
100
 
5.7%
99
 
5.6%
96
 
5.5%
93
 
5.3%
93
 
5.3%
50
 
2.8%
44
 
2.5%
29
 
1.6%
27
 
1.5%
Other values (152) 569
32.3%
None
ValueCountFrequency (%)
· 2
100.0%

Sample

9. 산업중분류, 대표자연령대 및 읍면동별 사업체수, 종사자수Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 99. Number of Establishments, Workers by Industrial Divisions, Age of Representatives & ProvincesUnnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 219. 산업중분류, 대표자연령대 및 읍면동별 사업체수, 종사자수.1Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26Unnamed: 27Unnamed: 28Unnamed: 29Unnamed: 30Unnamed: 319. Number of Establishments, Workers by Industrial Divisions, Age of Representatives & Provinces.1Unnamed: 33Unnamed: 34Unnamed: 35Unnamed: 36Unnamed: 37Unnamed: 38Unnamed: 39Unnamed: 40Unnamed: 41Unnamed: 42Unnamed: 439. 산업중분류, 대표자연령대 및 읍면동별 사업체수, 종사자수.2Unnamed: 45Unnamed: 46Unnamed: 47Unnamed: 48Unnamed: 49Unnamed: 50Unnamed: 51Unnamed: 52Unnamed: 539. Number of Establishments, Workers by Industrial Divisions, Age of Representatives & Provinces.2Unnamed: 55Unnamed: 56Unnamed: 57Unnamed: 58Unnamed: 59Unnamed: 60Unnamed: 61Unnamed: 62Unnamed: 63Unnamed: 64Unnamed: 659. 산업중분류, 대표자연령대 및 읍면동별 사업체수, 종사자수.3Unnamed: 67Unnamed: 68Unnamed: 69Unnamed: 70Unnamed: 71Unnamed: 72Unnamed: 73Unnamed: 74Unnamed: 759. Number of Establishments, Workers by Industrial Divisions, Age of Representatives & Provinces.3Unnamed: 77Unnamed: 78Unnamed: 79Unnamed: 80Unnamed: 81Unnamed: 82Unnamed: 83Unnamed: 84Unnamed: 85Unnamed: 86Unnamed: 87
0단위 : 개, 명<NA>NaNNaNNaNNaNNaNNaNNaNNaNUnit : In each, PersonNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN<NA>단위 : 개, 명<NA>NaNNaNNaNNaNNaNNaNNaNNaNUnit : In each, PersonNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN<NA>단위 : 개, 명<NA>NaNNaNNaNNaNNaNNaNNaNNaNUnit : In each, PersonNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN<NA>단위 : 개, 명<NA>NaNNaNNaNNaNNaNNaNNaNNaNUnit : In each, PersonNaNNaNNaNNaNNaNNaNNaNNaN<NA>NaN<NA>
1NaN산업분류 Industrial classification용인시\nYongin-siNaN처인구\nCheoin-guNaN포곡읍\nPogok-eupNaN모현면\nMohyeon-myeonNaN남사면\nNamsa-myeonNaN이동면\nIdong-myeonNaN원삼면\nWonsam-myeonNaN백암면\nBaegam-myeonNaN양지면\nYangji-myeonNaN산업분류\nIndustrial classification<NA>NaN산업분류 Industrial classification중앙동\nJungang-dongNaN역삼동\nYeoksam-dongNaN유림동\nYurim-dongNaN동부동\nDongbu-dongNaN기흥구\nGiheung-guNaN구갈동\nGugal-dongNaN상갈동\nSanggal-dongNaN기흥동\nGiheung-dongNaN서농동\nSeonong-dongNaN산업분류\nIndustrial classification<NA>NaN산업분류 Industrial classification구성동\nGuseong-dongNaN마북동\nMabuk-dongNaN동백동\nDongbaek-dongNaN보정동\nBojeong-dongNaN상하동\nSangha-dongNaN신갈동\nSingal-dongNaN영덕동\nYeongdeok-dongNaN수지구\nSuji-guNaN풍덕천1동\nPungdoekcheon 1(il)-dongNaN산업분류\nIndustrial classification<NA>NaN산업분류 Industrial classification풍덕천2동\nPungdoekcheon 2(i)-dongNaN신봉동\nSinbong-dongNaN죽전1동\nJukjeon 1(il)-dongNaN죽전2동\nJukjeon 2(i)-dongNaN동천동\nDongcheon-dongNaN상현1동\nSanghyeon 1(il)-dongNaN상현2동\nSanghyeon 2(i)-dongNaN성복동\nSeongbok-dongNaN산업분류\nIndustrial classification<NA>NaN산업분류 Industrial classification
2NaN<NA>사업체수\nEstab.종사자수\nWorkers사업체수\nEstab.종사자수\nWorkers사업체수\nEstab.종사자수\nWorkers사업체수\nEstab.종사자수\nWorkers사업체수\nEstab.종사자수\nWorkers사업체수\nEstab.종사자수\nWorkers사업체수\nEstab.종사자수\nWorkers사업체수\nEstab.종사자수\nWorkers사업체수\nEstab.종사자수\nWorkersNaN<NA>NaN<NA>사업체수\nEstab.종사자수\nWorkers사업체수\nEstab.종사자수\nWorkers사업체수\nEstab.종사자수\nWorkers사업체수\nEstab.종사자수\nWorkers사업체수\nEstab.종사자수\nWorkers사업체수\nEstab.종사자수\nWorkers사업체수\nEstab.종사자수\nWorkers사업체수\nEstab.종사자수\nWorkers사업체수\nEstab.종사자수\nWorkersNaN<NA>NaN<NA>사업체수\nEstab.종사자수\nWorkers사업체수\nEstab.종사자수\nWorkers사업체수\nEstab.종사자수\nWorkers사업체수\nEstab.종사자수\nWorkers사업체수\nEstab.종사자수\nWorkers사업체수\nEstab.종사자수\nWorkers사업체수\nEstab.종사자수\nWorkers사업체수\nEstab.종사자수\nWorkers사업체수\nEstab.종사자수\nWorkersNaN<NA>NaN<NA>사업체수\nEstab.종사자수\nWorkers사업체수\nEstab.종사자수\nWorkers사업체수\nEstab.종사자수\nWorkers사업체수\nEstab.종사자수\nWorkers사업체수\nEstab.종사자수\nWorkers사업체수\nEstab.종사자수\nWorkers사업체수\nEstab.종사자수\nWorkers사업체수\nEstab.종사자수\nWorkersNaN<NA>NaN<NA>
3NaN<NA>NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN<NA>NaN<NA>NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN<NA>NaN<NA>NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN<NA>NaN<NA>NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN<NA>NaN<NA>
4TT전산업39 925248 45915 27589 8651 81011 7141 8519 4017679 6951 2478 3116184 4968365 1671 5118 907TT전산업TT전산업2 88812 8451 3097 9581 3116 3771 1274 99414 322108 1731 87710 2981 6739 0947827 82950223 036TT전산업TT전산업8313 8588989 5382 0919 6021 69710 7067164 2321 6117 0791 64412 90110 32850 4211 8176 578TT전산업TT전산업1 1556 5078013 5722 01211 8071 0105 0581 2527 1936352 6408653 0657814 001TT전산업TT전산업
5NaN20세 미만36----------------NaNless than 20NaN20세 미만--------36--------NaNless than 20NaN20세 미만--121311----------NaNless than 20NaN20세 미만----------------NaNless than 20NaN20세 미만
6NaN20~29세8632 8473281 13945362451151661281101330101935119NaN20 to 29 yearsNaN20~29세791992352204614263149774416527498211730NaN20 to 29 yearsNaN20~29세22482056451415113614166329434712217313269NaN20 to 29 yearsNaN20~29세2255161855415622522584216413381628NaN20 to 29 yearsNaN20~29세
7NaN30~39세7 14625 5942 2577 8163551 030235897824301746297326899554185708NaN30 to 39 yearsNaN30~39세4661 5162135892156161605792 79510 5253421 32028496710133784257NaN30 to 39 yearsNaN30~39세1604321766725131 4614021 5551351 0692427523561 7032 0947 253274765NaN30 to 39 yearsNaN30~39세2048671895894701 539244920231878119366184621179708NaN30 to 39 yearsNaN30~39세
8NaN40~49세14 83271 3875 30625 7956762 8326442 7342641 9704012 1951681 0722501 2604982 180NaN40 to 49 yearsNaN40~49세9704 6464842 1875172 4884342 2315 43428 8727683 4516302 8822843 3961671 008NaN40 to 49 yearsNaN40~49세2999903141 4588724 1726343 1432379885622 1476675 2374 09216 7206992 366NaN40 to 49 yearsNaN40~49세4992 3793231 1577933 7824161 7404922 2362377333641 1722691 155NaN40 to 49 yearsNaN40~49세
9NaN50~59세12 82194 8705 49137 7705515 7276943 8663084 9914593 6542682 4613362 0115823 879NaN50 to 59 yearsNaN50~59세1 0064 6824432 6704372 1684071 6614 43137 8295674 2625643 5682892 8991915 298NaN50 to 59 yearsNaN50~59세2741 7562954 7925122 3914524 3112611 4345822 9464444 1722 89919 2716092 482NaN50 to 59 yearsNaN50~59세3272 1711981 0725245 5412351 8853662 8241921 0572299352191 304NaN50 to 59 yearsNaN50~59세
9. 산업중분류, 대표자연령대 및 읍면동별 사업체수, 종사자수Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 99. Number of Establishments, Workers by Industrial Divisions, Age of Representatives & ProvincesUnnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 219. 산업중분류, 대표자연령대 및 읍면동별 사업체수, 종사자수.1Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26Unnamed: 27Unnamed: 28Unnamed: 29Unnamed: 30Unnamed: 319. Number of Establishments, Workers by Industrial Divisions, Age of Representatives & Provinces.1Unnamed: 33Unnamed: 34Unnamed: 35Unnamed: 36Unnamed: 37Unnamed: 38Unnamed: 39Unnamed: 40Unnamed: 41Unnamed: 42Unnamed: 439. 산업중분류, 대표자연령대 및 읍면동별 사업체수, 종사자수.2Unnamed: 45Unnamed: 46Unnamed: 47Unnamed: 48Unnamed: 49Unnamed: 50Unnamed: 51Unnamed: 52Unnamed: 539. Number of Establishments, Workers by Industrial Divisions, Age of Representatives & Provinces.2Unnamed: 55Unnamed: 56Unnamed: 57Unnamed: 58Unnamed: 59Unnamed: 60Unnamed: 61Unnamed: 62Unnamed: 63Unnamed: 64Unnamed: 659. 산업중분류, 대표자연령대 및 읍면동별 사업체수, 종사자수.3Unnamed: 67Unnamed: 68Unnamed: 69Unnamed: 70Unnamed: 71Unnamed: 72Unnamed: 73Unnamed: 74Unnamed: 759. Number of Establishments, Workers by Industrial Divisions, Age of Representatives & Provinces.3Unnamed: 77Unnamed: 78Unnamed: 79Unnamed: 80Unnamed: 81Unnamed: 82Unnamed: 83Unnamed: 84Unnamed: 85Unnamed: 86Unnamed: 87
664NaN40~49세4581 31616143016362059747102448562285NaN40 to 49 yearsNaN40~49세28521835144417341866211119309692237NaN40 to 49 yearsNaN40~49세921216022552310014382510519981112652651NaN40 to 49 yearsNaN40~49세6161328172517691330573141125NaN40 to 49 yearsNaN40~49세
665NaN50~59세3341 3211394091423203352561463311151473NaN50 to 59 yearsNaN50~59세22581218147715401065571116836813134NaN50 to 59 yearsNaN50~59세3571311322016231118551492893552777NaN50 to 59 yearsNaN50~59세568199149217129851811827NaN50 to 59 yearsNaN50~59세
666NaN60세 이상8153832109124221122113322NaN60 or moreNaN60세 이상42788539122838235271111NaN60 or moreNaN60세 이상----226484--9126246214745NaN60 or moreNaN60세 이상34--3923381234212NaN60 or moreNaN60세 이상
66796기타 개인 서비스업2 2874 9636601 40395146441551347568714173156398096기타 개인 서비스업96기타 개인 서비스업17451873116709451878911 9211172491032002840233796기타 개인 서비스업96기타 개인 서비스업73115721441443131092923458114275741987361 63911222396기타 개인 서비스업96기타 개인 서비스업8019069145140271461737719855115811867613896기타 개인 서비스업96기타 개인 서비스업
668NaN20세 미만11----------------NaNless than 20NaN20세 미만--------11--------NaNless than 20NaN20세 미만------11----------NaNless than 20NaN20세 미만----------------NaNless than 20NaN20세 미만
669NaN20~29세6313314223711--22------NaN20 to 29 yearsNaN20~29세69--1211265131222----NaN20 to 29 yearsNaN20~29세223348611--41023236036NaN20 to 29 yearsNaN20~29세391351114253131247NaN20 to 29 yearsNaN20~29세
670NaN30~39세5171 2211413172641667--152424451029NaN30 to 39 yearsNaN30~39세388915291719810191462297718532359NaN30 to 39 yearsNaN30~39세143313234186268878152421581854421423NaN30 to 39 yearsNaN30~39세2340184145939262088101725662148NaN30 to 39 yearsNaN30~39세
671NaN40~49세9352 12725062739501947629192733102378NaN40 to 49 yearsNaN40~49세663093149283422483938005591437114191319NaN40 to 49 yearsNaN40~49세3446315671138441191018471183110529270048125NaN40 to 49 yearsNaN40~49세239032705912220763166233930742638NaN40 to 49 yearsNaN40~49세
672NaN50~59세6001 1461863102134122341313246612221838NaN50 to 59 yearsNaN50~59세46722130213612122254902559305991259NaN50 to 59 yearsNaN50~59세152620562561274813274011316201893463752NaN50 to 59 yearsNaN50~59세25431119294212562135163119331935NaN50 to 59 yearsNaN50~59세
673NaN60세 이상1713356912761461735710345645NaN60 or moreNaN60세 이상1839683381655117510101536--NaN60 or moreNaN60세 이상88563205254581041247911017NaN60 or moreNaN60세 이상687122341134315611610NaN60 or moreNaN60세 이상

Duplicate rows

Most frequently occurring

Unnamed: 1Unnamed: 21Unnamed: 23Unnamed: 43Unnamed: 45Unnamed: 65Unnamed: 67Unnamed: 85Unnamed: 87# duplicates
020~29세20 to 29 years20~29세20 to 29 years20~29세20 to 29 years20~29세20 to 29 years20~29세93
120세 미만less than 2020세 미만less than 2020세 미만less than 2020세 미만less than 2020세 미만93
230~39세30 to 39 years30~39세30 to 39 years30~39세30 to 39 years30~39세30 to 39 years30~39세93
340~49세40 to 49 years40~49세40 to 49 years40~49세40 to 49 years40~49세40 to 49 years40~49세93
450~59세50 to 59 years50~59세50 to 59 years50~59세50 to 59 years50~59세50 to 59 years50~59세93
560세 이상60 or more60세 이상60 or more60세 이상60 or more60세 이상60 or more60세 이상93
6<NA><NA><NA><NA><NA><NA><NA><NA><NA>22