Overview

Dataset statistics

Number of variables49
Number of observations580
Missing cells4286
Missing cells (%)15.1%
Duplicate rows6
Duplicate rows (%)1.0%
Total size in memory222.2 KiB
Average record size in memory392.2 B

Variable types

Unsupported42
Text7

Dataset

Description사업체조사 산업중분류, 종사상지위 및 읍면동별 종사자수(2013년) 정보 입니다.
Author경기도 용인시
URLhttps://www.data.go.kr/data/15053398/fileData.do

Alerts

Dataset has 6 (1.0%) duplicate rowsDuplicates
6. 산업중분류, 종사상지위 및 읍면동별 종사자수 has 486 (83.8%) missing valuesMissing
Unnamed: 1 has 21 (3.6%) missing valuesMissing
Unnamed: 2 has 21 (3.6%) missing valuesMissing
Unnamed: 3 has 21 (3.6%) missing valuesMissing
Unnamed: 4 has 21 (3.6%) missing valuesMissing
Unnamed: 5 has 21 (3.6%) missing valuesMissing
Unnamed: 6 has 21 (3.6%) missing valuesMissing
Unnamed: 7 has 21 (3.6%) missing valuesMissing
Unnamed: 8 has 21 (3.6%) missing valuesMissing
Unnamed: 9 has 21 (3.6%) missing valuesMissing
6. Number of Workers by Industrial Divisions, Status of Workers & Provinces has 20 (3.4%) missing valuesMissing
Unnamed: 11 has 21 (3.6%) missing valuesMissing
Unnamed: 12 has 21 (3.6%) missing valuesMissing
Unnamed: 13 has 21 (3.6%) missing valuesMissing
Unnamed: 14 has 21 (3.6%) missing valuesMissing
Unnamed: 15 has 21 (3.6%) missing valuesMissing
Unnamed: 16 has 21 (3.6%) missing valuesMissing
Unnamed: 17 has 21 (3.6%) missing valuesMissing
Unnamed: 18 has 21 (3.6%) missing valuesMissing
Unnamed: 19 has 486 (83.8%) missing valuesMissing
Unnamed: 20 has 22 (3.8%) missing valuesMissing
6. 산업중분류, 종사상지위 및 읍면동별 종사자수.1 has 486 (83.8%) missing valuesMissing
Unnamed: 22 has 21 (3.6%) missing valuesMissing
Unnamed: 23 has 21 (3.6%) missing valuesMissing
Unnamed: 24 has 21 (3.6%) missing valuesMissing
Unnamed: 25 has 21 (3.6%) missing valuesMissing
Unnamed: 26 has 21 (3.6%) missing valuesMissing
Unnamed: 27 has 21 (3.6%) missing valuesMissing
Unnamed: 28 has 21 (3.6%) missing valuesMissing
Unnamed: 29 has 21 (3.6%) missing valuesMissing
Unnamed: 30 has 21 (3.6%) missing valuesMissing
6. Number of Workers by Industrial Divisions, Status of Workers & Provinces.1 has 20 (3.4%) missing valuesMissing
Unnamed: 32 has 21 (3.6%) missing valuesMissing
Unnamed: 33 has 21 (3.6%) missing valuesMissing
Unnamed: 34 has 21 (3.6%) missing valuesMissing
Unnamed: 35 has 21 (3.6%) missing valuesMissing
Unnamed: 36 has 21 (3.6%) missing valuesMissing
Unnamed: 37 has 21 (3.6%) missing valuesMissing
Unnamed: 38 has 21 (3.6%) missing valuesMissing
Unnamed: 39 has 21 (3.6%) missing valuesMissing
Unnamed: 40 has 486 (83.8%) missing valuesMissing
Unnamed: 41 has 22 (3.8%) missing valuesMissing
6. 산업중분류, 종사상지위 및 읍면동별 종사자수.2 has 486 (83.8%) missing valuesMissing
Unnamed: 43 has 21 (3.6%) missing valuesMissing
Unnamed: 44 has 21 (3.6%) missing valuesMissing
Unnamed: 45 has 486 (83.8%) missing valuesMissing
Unnamed: 46 has 22 (3.8%) missing valuesMissing
Unnamed: 47 has 487 (84.0%) missing valuesMissing
Unnamed: 48 has 21 (3.6%) missing valuesMissing
6. 산업중분류, 종사상지위 및 읍면동별 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
6. Number of Workers by Industrial Divisions, Status of Workers & 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
6. 산업중분류, 종사상지위 및 읍면동별 종사자수.1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 23 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
6. Number of Workers by Industrial Divisions, Status of Workers & Provinces.1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 32 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
6. 산업중분류, 종사상지위 및 읍면동별 종사자수.2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 44 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 45 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

Reproduction

Analysis started2023-12-12 09:12:48.792147
Analysis finished2023-12-12 09:12:50.117051
Duration1.32 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

6. 산업중분류, 종사상지위 및 읍면동별 종사자수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing486
Missing (%)83.8%
Memory size4.7 KiB

Unnamed: 1
Text

MISSING 

Distinct99
Distinct (%)17.7%
Missing21
Missing (%)3.6%
Memory size4.7 KiB
2023-12-12T18:12:50.574063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length32
Mean length6.4329159
Min length2

Characters and Unicode

Total characters3596
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 (%)16.8%

Sample

1st row산업분류 Industrial classification
2nd row전산업
3rd row자영업자
4th row무급가족
5th row상용근로자
ValueCountFrequency (%)
143
14.4%
자영업자 93
 
9.3%
상용근로자 93
 
9.3%
임시 93
 
9.3%
일용 93
 
9.3%
기타종사자 93
 
9.3%
무급가족 93
 
9.3%
제조업 21
 
2.1%
서비스업 14
 
1.4%
12
 
1.2%
Other values (195) 248
24.9%
2023-12-12T18:12:51.230020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
437
 
12.2%
376
 
10.5%
193
 
5.4%
188
 
5.2%
143
 
4.0%
118
 
3.3%
104
 
2.9%
104
 
2.9%
100
 
2.8%
99
 
2.8%
Other values (183) 1734
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2968
82.5%
Space Separator 437
 
12.2%
Decimal Number 73
 
2.0%
Other Punctuation 38
 
1.1%
Lowercase Letter 23
 
0.6%
Close Punctuation 19
 
0.5%
Open Punctuation 19
 
0.5%
Math Symbol 17
 
0.5%
Uppercase Letter 1
 
< 0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
376
 
12.7%
193
 
6.5%
188
 
6.3%
143
 
4.8%
118
 
4.0%
104
 
3.5%
104
 
3.5%
100
 
3.4%
99
 
3.3%
97
 
3.3%
Other values (152) 1446
48.7%
Lowercase Letter
ValueCountFrequency (%)
i 4
17.4%
s 3
13.0%
a 3
13.0%
n 2
8.7%
t 2
8.7%
l 2
8.7%
c 2
8.7%
o 1
 
4.3%
d 1
 
4.3%
u 1
 
4.3%
Other values (2) 2
8.7%
Decimal Number
ValueCountFrequency (%)
6 10
13.7%
5 10
13.7%
3 9
12.3%
4 9
12.3%
7 7
9.6%
9 7
9.6%
0 7
9.6%
8 7
9.6%
1 5
6.8%
2 2
 
2.7%
Other Punctuation
ValueCountFrequency (%)
, 29
76.3%
; 7
 
18.4%
· 2
 
5.3%
Space Separator
ValueCountFrequency (%)
437
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Math Symbol
ValueCountFrequency (%)
~ 17
100.0%
Uppercase Letter
ValueCountFrequency (%)
I 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2968
82.5%
Common 604
 
16.8%
Latin 24
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
376
 
12.7%
193
 
6.5%
188
 
6.3%
143
 
4.8%
118
 
4.0%
104
 
3.5%
104
 
3.5%
100
 
3.4%
99
 
3.3%
97
 
3.3%
Other values (152) 1446
48.7%
Common
ValueCountFrequency (%)
437
72.4%
, 29
 
4.8%
) 19
 
3.1%
( 19
 
3.1%
~ 17
 
2.8%
6 10
 
1.7%
5 10
 
1.7%
3 9
 
1.5%
4 9
 
1.5%
7 7
 
1.2%
Other values (8) 38
 
6.3%
Latin
ValueCountFrequency (%)
i 4
16.7%
s 3
12.5%
a 3
12.5%
n 2
8.3%
t 2
8.3%
l 2
8.3%
c 2
8.3%
o 1
 
4.2%
I 1
 
4.2%
d 1
 
4.2%
Other values (3) 3
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2968
82.5%
ASCII 626
 
17.4%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
437
69.8%
, 29
 
4.6%
) 19
 
3.0%
( 19
 
3.0%
~ 17
 
2.7%
6 10
 
1.6%
5 10
 
1.6%
3 9
 
1.4%
4 9
 
1.4%
7 7
 
1.1%
Other values (20) 60
 
9.6%
Hangul
ValueCountFrequency (%)
376
 
12.7%
193
 
6.5%
188
 
6.3%
143
 
4.8%
118
 
4.0%
104
 
3.5%
104
 
3.5%
100
 
3.4%
99
 
3.3%
97
 
3.3%
Other values (152) 1446
48.7%
None
ValueCountFrequency (%)
· 2
100.0%

Unnamed: 2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.6%
Memory size4.7 KiB

Unnamed: 3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.6%
Memory size4.7 KiB

Unnamed: 4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.6%
Memory size4.7 KiB

Unnamed: 5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.6%
Memory size4.7 KiB

Unnamed: 6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.6%
Memory size4.7 KiB

Unnamed: 7
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.6%
Memory size4.7 KiB

Unnamed: 8
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.6%
Memory size4.7 KiB

Unnamed: 9
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.6%
Memory size4.7 KiB
Missing20
Missing (%)3.4%
Memory size4.7 KiB

Unnamed: 11
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.6%
Memory size4.7 KiB

Unnamed: 12
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.6%
Memory size4.7 KiB

Unnamed: 13
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.6%
Memory size4.7 KiB

Unnamed: 14
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.6%
Memory size4.7 KiB

Unnamed: 15
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.6%
Memory size4.7 KiB

Unnamed: 16
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.6%
Memory size4.7 KiB

Unnamed: 17
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.6%
Memory size4.7 KiB

Unnamed: 18
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.6%
Memory size4.7 KiB

Unnamed: 19
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing486
Missing (%)83.8%
Memory size4.7 KiB

Unnamed: 20
Text

MISSING 

Distinct98
Distinct (%)17.6%
Missing22
Missing (%)3.8%
Memory size4.7 KiB
2023-12-12T18:12:51.687311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length32
Mean length14.890681
Min length2

Characters and Unicode

Total characters8309
Distinct characters201
Distinct categories9 ?
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 (%)16.7%

Sample

1st row전산업
2nd rowIndividual Prop.
3rd rowFamily Workers
4th rowReg. Employees
5th rowTemp. Employees
ValueCountFrequency (%)
employees 279
21.9%
individual 93
 
7.3%
reg 93
 
7.3%
temp 93
 
7.3%
unpaid 93
 
7.3%
family 93
 
7.3%
workers 93
 
7.3%
prop 93
 
7.3%
50
 
3.9%
제조업 21
 
1.7%
Other values (194) 271
21.3%
2023-12-12T18:12:52.353032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 837
 
10.1%
715
 
8.6%
p 558
 
6.7%
o 465
 
5.6%
m 465
 
5.6%
l 465
 
5.6%
s 372
 
4.5%
y 372
 
4.5%
i 372
 
4.5%
. 372
 
4.5%
Other values (191) 3316
39.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5301
63.8%
Uppercase Letter 930
 
11.2%
Other Letter 825
 
9.9%
Space Separator 715
 
8.6%
Other Punctuation 410
 
4.9%
Decimal Number 73
 
0.9%
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 (%)
e 837
15.8%
p 558
10.5%
o 465
8.8%
m 465
8.8%
l 465
8.8%
s 372
7.0%
y 372
7.0%
i 372
7.0%
r 279
 
5.3%
a 279
 
5.3%
Other values (6) 837
15.8%
Decimal Number
ValueCountFrequency (%)
6 10
13.7%
5 10
13.7%
3 9
12.3%
4 9
12.3%
0 7
9.6%
9 7
9.6%
7 7
9.6%
8 7
9.6%
1 5
6.8%
2 2
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
E 279
30.0%
T 93
 
10.0%
F 93
 
10.0%
U 93
 
10.0%
I 93
 
10.0%
W 93
 
10.0%
R 93
 
10.0%
P 93
 
10.0%
Other Punctuation
ValueCountFrequency (%)
. 372
90.7%
, 29
 
7.1%
; 7
 
1.7%
· 2
 
0.5%
Space Separator
ValueCountFrequency (%)
715
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 6231
75.0%
Common 1253
 
15.1%
Hangul 825
 
9.9%

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%
Latin
ValueCountFrequency (%)
e 837
13.4%
p 558
 
9.0%
o 465
 
7.5%
m 465
 
7.5%
l 465
 
7.5%
s 372
 
6.0%
y 372
 
6.0%
i 372
 
6.0%
E 279
 
4.5%
r 279
 
4.5%
Other values (14) 1767
28.4%
Common
ValueCountFrequency (%)
715
57.1%
. 372
29.7%
, 29
 
2.3%
( 19
 
1.5%
) 19
 
1.5%
~ 17
 
1.4%
6 10
 
0.8%
5 10
 
0.8%
3 9
 
0.7%
4 9
 
0.7%
Other values (8) 44
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7482
90.0%
Hangul 825
 
9.9%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 837
 
11.2%
715
 
9.6%
p 558
 
7.5%
o 465
 
6.2%
m 465
 
6.2%
l 465
 
6.2%
s 372
 
5.0%
y 372
 
5.0%
i 372
 
5.0%
. 372
 
5.0%
Other values (31) 2489
33.3%
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%

6. 산업중분류, 종사상지위 및 읍면동별 종사자수.1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing486
Missing (%)83.8%
Memory size4.7 KiB

Unnamed: 22
Text

MISSING 

Distinct99
Distinct (%)17.7%
Missing21
Missing (%)3.6%
Memory size4.7 KiB
2023-12-12T18:12:52.979970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length32
Mean length6.4329159
Min length2

Characters and Unicode

Total characters3596
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 (%)16.8%

Sample

1st row산업분류 Industrial classification
2nd row전산업
3rd row자영업자
4th row무급가족
5th row상용근로자
ValueCountFrequency (%)
143
14.4%
자영업자 93
 
9.3%
상용근로자 93
 
9.3%
임시 93
 
9.3%
일용 93
 
9.3%
기타종사자 93
 
9.3%
무급가족 93
 
9.3%
제조업 21
 
2.1%
서비스업 14
 
1.4%
12
 
1.2%
Other values (195) 248
24.9%
2023-12-12T18:12:53.744443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
437
 
12.2%
376
 
10.5%
193
 
5.4%
188
 
5.2%
143
 
4.0%
118
 
3.3%
104
 
2.9%
104
 
2.9%
100
 
2.8%
99
 
2.8%
Other values (183) 1734
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2968
82.5%
Space Separator 437
 
12.2%
Decimal Number 73
 
2.0%
Other Punctuation 38
 
1.1%
Lowercase Letter 23
 
0.6%
Close Punctuation 19
 
0.5%
Open Punctuation 19
 
0.5%
Math Symbol 17
 
0.5%
Uppercase Letter 1
 
< 0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
376
 
12.7%
193
 
6.5%
188
 
6.3%
143
 
4.8%
118
 
4.0%
104
 
3.5%
104
 
3.5%
100
 
3.4%
99
 
3.3%
97
 
3.3%
Other values (152) 1446
48.7%
Lowercase Letter
ValueCountFrequency (%)
i 4
17.4%
s 3
13.0%
a 3
13.0%
n 2
8.7%
t 2
8.7%
l 2
8.7%
c 2
8.7%
o 1
 
4.3%
d 1
 
4.3%
u 1
 
4.3%
Other values (2) 2
8.7%
Decimal Number
ValueCountFrequency (%)
6 10
13.7%
5 10
13.7%
3 9
12.3%
4 9
12.3%
7 7
9.6%
9 7
9.6%
0 7
9.6%
8 7
9.6%
1 5
6.8%
2 2
 
2.7%
Other Punctuation
ValueCountFrequency (%)
, 29
76.3%
; 7
 
18.4%
· 2
 
5.3%
Space Separator
ValueCountFrequency (%)
437
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Math Symbol
ValueCountFrequency (%)
~ 17
100.0%
Uppercase Letter
ValueCountFrequency (%)
I 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2968
82.5%
Common 604
 
16.8%
Latin 24
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
376
 
12.7%
193
 
6.5%
188
 
6.3%
143
 
4.8%
118
 
4.0%
104
 
3.5%
104
 
3.5%
100
 
3.4%
99
 
3.3%
97
 
3.3%
Other values (152) 1446
48.7%
Common
ValueCountFrequency (%)
437
72.4%
, 29
 
4.8%
) 19
 
3.1%
( 19
 
3.1%
~ 17
 
2.8%
6 10
 
1.7%
5 10
 
1.7%
3 9
 
1.5%
4 9
 
1.5%
7 7
 
1.2%
Other values (8) 38
 
6.3%
Latin
ValueCountFrequency (%)
i 4
16.7%
s 3
12.5%
a 3
12.5%
n 2
8.3%
t 2
8.3%
l 2
8.3%
c 2
8.3%
o 1
 
4.2%
I 1
 
4.2%
d 1
 
4.2%
Other values (3) 3
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2968
82.5%
ASCII 626
 
17.4%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
437
69.8%
, 29
 
4.6%
) 19
 
3.0%
( 19
 
3.0%
~ 17
 
2.7%
6 10
 
1.6%
5 10
 
1.6%
3 9
 
1.4%
4 9
 
1.4%
7 7
 
1.1%
Other values (20) 60
 
9.6%
Hangul
ValueCountFrequency (%)
376
 
12.7%
193
 
6.5%
188
 
6.3%
143
 
4.8%
118
 
4.0%
104
 
3.5%
104
 
3.5%
100
 
3.4%
99
 
3.3%
97
 
3.3%
Other values (152) 1446
48.7%
None
ValueCountFrequency (%)
· 2
100.0%

Unnamed: 23
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.6%
Memory size4.7 KiB

Unnamed: 24
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.6%
Memory size4.7 KiB

Unnamed: 25
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.6%
Memory size4.7 KiB

Unnamed: 26
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.6%
Memory size4.7 KiB

Unnamed: 27
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.6%
Memory size4.7 KiB

Unnamed: 28
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.6%
Memory size4.7 KiB

Unnamed: 29
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.6%
Memory size4.7 KiB

Unnamed: 30
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.6%
Memory size4.7 KiB
Missing20
Missing (%)3.4%
Memory size4.7 KiB

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.6%
Memory size4.7 KiB

Unnamed: 33
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.6%
Memory size4.7 KiB

Unnamed: 34
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.6%
Memory size4.7 KiB

Unnamed: 35
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.6%
Memory size4.7 KiB

Unnamed: 36
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.6%
Memory size4.7 KiB

Unnamed: 37
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.6%
Memory size4.7 KiB

Unnamed: 38
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.6%
Memory size4.7 KiB

Unnamed: 39
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.6%
Memory size4.7 KiB

Unnamed: 40
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing486
Missing (%)83.8%
Memory size4.7 KiB

Unnamed: 41
Text

MISSING 

Distinct98
Distinct (%)17.6%
Missing22
Missing (%)3.8%
Memory size4.7 KiB
2023-12-12T18:12:54.297909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length32
Mean length14.890681
Min length2

Characters and Unicode

Total characters8309
Distinct characters201
Distinct categories9 ?
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 (%)16.7%

Sample

1st row전산업
2nd rowIndividual Prop.
3rd rowFamily Workers
4th rowReg. Employees
5th rowTemp. Employees
ValueCountFrequency (%)
employees 279
21.9%
individual 93
 
7.3%
reg 93
 
7.3%
temp 93
 
7.3%
unpaid 93
 
7.3%
family 93
 
7.3%
workers 93
 
7.3%
prop 93
 
7.3%
50
 
3.9%
제조업 21
 
1.7%
Other values (194) 271
21.3%
2023-12-12T18:12:55.051692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 837
 
10.1%
715
 
8.6%
p 558
 
6.7%
o 465
 
5.6%
m 465
 
5.6%
l 465
 
5.6%
s 372
 
4.5%
y 372
 
4.5%
i 372
 
4.5%
. 372
 
4.5%
Other values (191) 3316
39.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5301
63.8%
Uppercase Letter 930
 
11.2%
Other Letter 825
 
9.9%
Space Separator 715
 
8.6%
Other Punctuation 410
 
4.9%
Decimal Number 73
 
0.9%
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 (%)
e 837
15.8%
p 558
10.5%
o 465
8.8%
m 465
8.8%
l 465
8.8%
s 372
7.0%
y 372
7.0%
i 372
7.0%
r 279
 
5.3%
a 279
 
5.3%
Other values (6) 837
15.8%
Decimal Number
ValueCountFrequency (%)
6 10
13.7%
5 10
13.7%
3 9
12.3%
4 9
12.3%
0 7
9.6%
9 7
9.6%
7 7
9.6%
8 7
9.6%
1 5
6.8%
2 2
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
E 279
30.0%
T 93
 
10.0%
F 93
 
10.0%
U 93
 
10.0%
I 93
 
10.0%
W 93
 
10.0%
R 93
 
10.0%
P 93
 
10.0%
Other Punctuation
ValueCountFrequency (%)
. 372
90.7%
, 29
 
7.1%
; 7
 
1.7%
· 2
 
0.5%
Space Separator
ValueCountFrequency (%)
715
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 6231
75.0%
Common 1253
 
15.1%
Hangul 825
 
9.9%

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%
Latin
ValueCountFrequency (%)
e 837
13.4%
p 558
 
9.0%
o 465
 
7.5%
m 465
 
7.5%
l 465
 
7.5%
s 372
 
6.0%
y 372
 
6.0%
i 372
 
6.0%
E 279
 
4.5%
r 279
 
4.5%
Other values (14) 1767
28.4%
Common
ValueCountFrequency (%)
715
57.1%
. 372
29.7%
, 29
 
2.3%
( 19
 
1.5%
) 19
 
1.5%
~ 17
 
1.4%
6 10
 
0.8%
5 10
 
0.8%
3 9
 
0.7%
4 9
 
0.7%
Other values (8) 44
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7482
90.0%
Hangul 825
 
9.9%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 837
 
11.2%
715
 
9.6%
p 558
 
7.5%
o 465
 
6.2%
m 465
 
6.2%
l 465
 
6.2%
s 372
 
5.0%
y 372
 
5.0%
i 372
 
5.0%
. 372
 
5.0%
Other values (31) 2489
33.3%
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%

6. 산업중분류, 종사상지위 및 읍면동별 종사자수.2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing486
Missing (%)83.8%
Memory size4.7 KiB

Unnamed: 43
Text

MISSING 

Distinct99
Distinct (%)17.7%
Missing21
Missing (%)3.6%
Memory size4.7 KiB
2023-12-12T18:12:55.580949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length32
Mean length6.4329159
Min length2

Characters and Unicode

Total characters3596
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 (%)16.8%

Sample

1st row산업분류 Industrial classification
2nd row전산업
3rd row자영업자
4th row무급가족
5th row상용근로자
ValueCountFrequency (%)
143
14.4%
자영업자 93
 
9.3%
상용근로자 93
 
9.3%
임시 93
 
9.3%
일용 93
 
9.3%
기타종사자 93
 
9.3%
무급가족 93
 
9.3%
제조업 21
 
2.1%
서비스업 14
 
1.4%
12
 
1.2%
Other values (195) 248
24.9%
2023-12-12T18:12:56.297149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
437
 
12.2%
376
 
10.5%
193
 
5.4%
188
 
5.2%
143
 
4.0%
118
 
3.3%
104
 
2.9%
104
 
2.9%
100
 
2.8%
99
 
2.8%
Other values (183) 1734
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2968
82.5%
Space Separator 437
 
12.2%
Decimal Number 73
 
2.0%
Other Punctuation 38
 
1.1%
Lowercase Letter 23
 
0.6%
Close Punctuation 19
 
0.5%
Open Punctuation 19
 
0.5%
Math Symbol 17
 
0.5%
Uppercase Letter 1
 
< 0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
376
 
12.7%
193
 
6.5%
188
 
6.3%
143
 
4.8%
118
 
4.0%
104
 
3.5%
104
 
3.5%
100
 
3.4%
99
 
3.3%
97
 
3.3%
Other values (152) 1446
48.7%
Lowercase Letter
ValueCountFrequency (%)
i 4
17.4%
s 3
13.0%
a 3
13.0%
n 2
8.7%
t 2
8.7%
l 2
8.7%
c 2
8.7%
o 1
 
4.3%
d 1
 
4.3%
u 1
 
4.3%
Other values (2) 2
8.7%
Decimal Number
ValueCountFrequency (%)
6 10
13.7%
5 10
13.7%
3 9
12.3%
4 9
12.3%
7 7
9.6%
9 7
9.6%
0 7
9.6%
8 7
9.6%
1 5
6.8%
2 2
 
2.7%
Other Punctuation
ValueCountFrequency (%)
, 29
76.3%
; 7
 
18.4%
· 2
 
5.3%
Space Separator
ValueCountFrequency (%)
437
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Math Symbol
ValueCountFrequency (%)
~ 17
100.0%
Uppercase Letter
ValueCountFrequency (%)
I 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2968
82.5%
Common 604
 
16.8%
Latin 24
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
376
 
12.7%
193
 
6.5%
188
 
6.3%
143
 
4.8%
118
 
4.0%
104
 
3.5%
104
 
3.5%
100
 
3.4%
99
 
3.3%
97
 
3.3%
Other values (152) 1446
48.7%
Common
ValueCountFrequency (%)
437
72.4%
, 29
 
4.8%
) 19
 
3.1%
( 19
 
3.1%
~ 17
 
2.8%
6 10
 
1.7%
5 10
 
1.7%
3 9
 
1.5%
4 9
 
1.5%
7 7
 
1.2%
Other values (8) 38
 
6.3%
Latin
ValueCountFrequency (%)
i 4
16.7%
s 3
12.5%
a 3
12.5%
n 2
8.3%
t 2
8.3%
l 2
8.3%
c 2
8.3%
o 1
 
4.2%
I 1
 
4.2%
d 1
 
4.2%
Other values (3) 3
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2968
82.5%
ASCII 626
 
17.4%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
437
69.8%
, 29
 
4.6%
) 19
 
3.0%
( 19
 
3.0%
~ 17
 
2.7%
6 10
 
1.6%
5 10
 
1.6%
3 9
 
1.4%
4 9
 
1.4%
7 7
 
1.1%
Other values (20) 60
 
9.6%
Hangul
ValueCountFrequency (%)
376
 
12.7%
193
 
6.5%
188
 
6.3%
143
 
4.8%
118
 
4.0%
104
 
3.5%
104
 
3.5%
100
 
3.4%
99
 
3.3%
97
 
3.3%
Other values (152) 1446
48.7%
None
ValueCountFrequency (%)
· 2
100.0%

Unnamed: 44
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)3.6%
Memory size4.7 KiB

Unnamed: 45
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing486
Missing (%)83.8%
Memory size4.7 KiB

Unnamed: 46
Text

MISSING 

Distinct98
Distinct (%)17.6%
Missing22
Missing (%)3.8%
Memory size4.7 KiB
2023-12-12T18:12:56.759115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length32
Mean length14.890681
Min length2

Characters and Unicode

Total characters8309
Distinct characters201
Distinct categories9 ?
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 (%)16.7%

Sample

1st row전산업
2nd rowIndividual Prop.
3rd rowFamily Workers
4th rowReg. Employees
5th rowTemp. Employees
ValueCountFrequency (%)
employees 279
21.9%
individual 93
 
7.3%
reg 93
 
7.3%
temp 93
 
7.3%
unpaid 93
 
7.3%
family 93
 
7.3%
workers 93
 
7.3%
prop 93
 
7.3%
50
 
3.9%
제조업 21
 
1.7%
Other values (194) 271
21.3%
2023-12-12T18:12:57.470531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 837
 
10.1%
715
 
8.6%
p 558
 
6.7%
o 465
 
5.6%
m 465
 
5.6%
l 465
 
5.6%
s 372
 
4.5%
y 372
 
4.5%
i 372
 
4.5%
. 372
 
4.5%
Other values (191) 3316
39.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5301
63.8%
Uppercase Letter 930
 
11.2%
Other Letter 825
 
9.9%
Space Separator 715
 
8.6%
Other Punctuation 410
 
4.9%
Decimal Number 73
 
0.9%
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 (%)
e 837
15.8%
p 558
10.5%
o 465
8.8%
m 465
8.8%
l 465
8.8%
s 372
7.0%
y 372
7.0%
i 372
7.0%
r 279
 
5.3%
a 279
 
5.3%
Other values (6) 837
15.8%
Decimal Number
ValueCountFrequency (%)
6 10
13.7%
5 10
13.7%
3 9
12.3%
4 9
12.3%
0 7
9.6%
9 7
9.6%
7 7
9.6%
8 7
9.6%
1 5
6.8%
2 2
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
E 279
30.0%
T 93
 
10.0%
F 93
 
10.0%
U 93
 
10.0%
I 93
 
10.0%
W 93
 
10.0%
R 93
 
10.0%
P 93
 
10.0%
Other Punctuation
ValueCountFrequency (%)
. 372
90.7%
, 29
 
7.1%
; 7
 
1.7%
· 2
 
0.5%
Space Separator
ValueCountFrequency (%)
715
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 6231
75.0%
Common 1253
 
15.1%
Hangul 825
 
9.9%

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%
Latin
ValueCountFrequency (%)
e 837
13.4%
p 558
 
9.0%
o 465
 
7.5%
m 465
 
7.5%
l 465
 
7.5%
s 372
 
6.0%
y 372
 
6.0%
i 372
 
6.0%
E 279
 
4.5%
r 279
 
4.5%
Other values (14) 1767
28.4%
Common
ValueCountFrequency (%)
715
57.1%
. 372
29.7%
, 29
 
2.3%
( 19
 
1.5%
) 19
 
1.5%
~ 17
 
1.4%
6 10
 
0.8%
5 10
 
0.8%
3 9
 
0.7%
4 9
 
0.7%
Other values (8) 44
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7482
90.0%
Hangul 825
 
9.9%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 837
 
11.2%
715
 
9.6%
p 558
 
7.5%
o 465
 
6.2%
m 465
 
6.2%
l 465
 
6.2%
s 372
 
5.0%
y 372
 
5.0%
i 372
 
5.0%
. 372
 
5.0%
Other values (31) 2489
33.3%
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: 47
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing487
Missing (%)84.0%
Memory size4.7 KiB

Unnamed: 48
Text

MISSING 

Distinct99
Distinct (%)17.7%
Missing21
Missing (%)3.6%
Memory size4.7 KiB
2023-12-12T18:12:57.995526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length32
Mean length6.4329159
Min length2

Characters and Unicode

Total characters3596
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 (%)16.8%

Sample

1st row산업분류 Industrial classification
2nd row전산업
3rd row자영업자
4th row무급가족
5th row상용근로자
ValueCountFrequency (%)
143
14.4%
자영업자 93
 
9.3%
상용근로자 93
 
9.3%
임시 93
 
9.3%
일용 93
 
9.3%
기타종사자 93
 
9.3%
무급가족 93
 
9.3%
제조업 21
 
2.1%
서비스업 14
 
1.4%
12
 
1.2%
Other values (195) 248
24.9%
2023-12-12T18:12:58.625177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
437
 
12.2%
376
 
10.5%
193
 
5.4%
188
 
5.2%
143
 
4.0%
118
 
3.3%
104
 
2.9%
104
 
2.9%
100
 
2.8%
99
 
2.8%
Other values (183) 1734
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2968
82.5%
Space Separator 437
 
12.2%
Decimal Number 73
 
2.0%
Other Punctuation 38
 
1.1%
Lowercase Letter 23
 
0.6%
Close Punctuation 19
 
0.5%
Open Punctuation 19
 
0.5%
Math Symbol 17
 
0.5%
Uppercase Letter 1
 
< 0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
376
 
12.7%
193
 
6.5%
188
 
6.3%
143
 
4.8%
118
 
4.0%
104
 
3.5%
104
 
3.5%
100
 
3.4%
99
 
3.3%
97
 
3.3%
Other values (152) 1446
48.7%
Lowercase Letter
ValueCountFrequency (%)
i 4
17.4%
s 3
13.0%
a 3
13.0%
n 2
8.7%
t 2
8.7%
l 2
8.7%
c 2
8.7%
o 1
 
4.3%
d 1
 
4.3%
u 1
 
4.3%
Other values (2) 2
8.7%
Decimal Number
ValueCountFrequency (%)
6 10
13.7%
5 10
13.7%
3 9
12.3%
4 9
12.3%
7 7
9.6%
9 7
9.6%
0 7
9.6%
8 7
9.6%
1 5
6.8%
2 2
 
2.7%
Other Punctuation
ValueCountFrequency (%)
, 29
76.3%
; 7
 
18.4%
· 2
 
5.3%
Space Separator
ValueCountFrequency (%)
437
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Math Symbol
ValueCountFrequency (%)
~ 17
100.0%
Uppercase Letter
ValueCountFrequency (%)
I 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2968
82.5%
Common 604
 
16.8%
Latin 24
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
376
 
12.7%
193
 
6.5%
188
 
6.3%
143
 
4.8%
118
 
4.0%
104
 
3.5%
104
 
3.5%
100
 
3.4%
99
 
3.3%
97
 
3.3%
Other values (152) 1446
48.7%
Common
ValueCountFrequency (%)
437
72.4%
, 29
 
4.8%
) 19
 
3.1%
( 19
 
3.1%
~ 17
 
2.8%
6 10
 
1.7%
5 10
 
1.7%
3 9
 
1.5%
4 9
 
1.5%
7 7
 
1.2%
Other values (8) 38
 
6.3%
Latin
ValueCountFrequency (%)
i 4
16.7%
s 3
12.5%
a 3
12.5%
n 2
8.3%
t 2
8.3%
l 2
8.3%
c 2
8.3%
o 1
 
4.2%
I 1
 
4.2%
d 1
 
4.2%
Other values (3) 3
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2968
82.5%
ASCII 626
 
17.4%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
437
69.8%
, 29
 
4.6%
) 19
 
3.0%
( 19
 
3.0%
~ 17
 
2.7%
6 10
 
1.6%
5 10
 
1.6%
3 9
 
1.4%
4 9
 
1.4%
7 7
 
1.1%
Other values (20) 60
 
9.6%
Hangul
ValueCountFrequency (%)
376
 
12.7%
193
 
6.5%
188
 
6.3%
143
 
4.8%
118
 
4.0%
104
 
3.5%
104
 
3.5%
100
 
3.4%
99
 
3.3%
97
 
3.3%
Other values (152) 1446
48.7%
None
ValueCountFrequency (%)
· 2
100.0%

Sample

6. 산업중분류, 종사상지위 및 읍면동별 종사자수Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 96. Number of Workers by Industrial Divisions, Status of Workers & ProvincesUnnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 206. 산업중분류, 종사상지위 및 읍면동별 종사자수.1Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26Unnamed: 27Unnamed: 28Unnamed: 29Unnamed: 306. Number of Workers by Industrial Divisions, Status of Workers & Provinces.1Unnamed: 32Unnamed: 33Unnamed: 34Unnamed: 35Unnamed: 36Unnamed: 37Unnamed: 38Unnamed: 39Unnamed: 40Unnamed: 416. 산업중분류, 종사상지위 및 읍면동별 종사자수.2Unnamed: 43Unnamed: 44Unnamed: 45Unnamed: 46Unnamed: 47Unnamed: 48
0단위 : 명<NA>NaNNaNNaNNaNNaNNaNNaNNaNUnit : PersonNaNNaNNaNNaNNaNNaNNaNNaNNaN<NA>단위 : 명<NA>NaNNaNNaNNaNNaNNaNNaNNaNUnit : PersonNaNNaNNaNNaNNaNNaNNaNNaNNaN<NA>단위 : 명<NA>NaNNaN<NA>NaN<NA>
1NaN산업분류 Industrial classification용인시\nYongin-si처인구\nCheoin-gu포곡읍\nPogok-eup모현면\nMohyeon-myeon남사면\nNamsa-myeon이동면\nIdong-myeon원삼면\nWonsam-myeon백암면\nBaegam-myeon양지면\nYangji-myeon중앙동\nJungang-dong역삼동\nYeoksam-dong유림동\nYurim-dong동부동\nDongbu-dong기흥구\nGiheung-gu구갈동\nGugal-dong상갈동\nSanggal-dong기흥동\nGiheung-dong산업분류\nIndustrial classification<NA>NaN산업분류 Industrial classification서농동\nSeonong-dong구성동\nGuseong-dong마북동\nMabuk-dong동백동\nDongbaek-dong보정동\nBojeong-dong상하동\nSangha-dong신갈동\nSingal-dong영덕동\nYeongdeok-dong수지구\nSuji-gu풍덕천1동\nPungdoekcheon 1(il)-dong풍덕천2동\nPungdoekcheon 2(i)-dong신봉동\nSinbong-dong죽전1동\nJukjeon 1(il)-dong죽전2동\nJukjeon 2(i)-dong동천동\nDongcheon-dong상현1동\nSanghyeon 1(il)-dong상현2동\nSanghyeon 2(i)-dong산업분류\nIndustrial classification<NA>NaN산업분류 Industrial classification성복동\nSeongbok-dong산업분류\nIndustrial classification<NA>NaN산업분류 Industrial classification
2NaN<NA>NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN<NA>NaN<NA>NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN<NA>NaN<NA>NaNNaN<NA>NaN<NA>
3TT전산업2484598986511714940196958311449651678907128457958637749941081731029890947829TT전산업TT전산업2303638589538960210706423270791290150421657865073572118075058719326403065TT전산업TT전산업4001TT전산업TT전산업
4NaN자영업자32383123171535146848996240163811752533108310999341139314851350528NaNIndividual Prop.NaN자영업자38572773617261349587135711638673161397668916047991018539784NaNIndividual Prop.NaN자영업자651NaNIndividual Prop.NaN자영업자
5NaN무급가족75283237466417111235117198303577335240238255734735598NaNFamily WorkersNaN무급가족75165176340312154327208173438617911634490241107166NaNFamily WorkersNaN무급가족105NaNFamily WorkersNaN무급가족
6NaN상용근로자161231593786660632679916329348538676196676850124332241274874510357026573NaNReg. EmployeesNaN상용근로자2069522777718506365322687411684082697928853454187467032899415114481223NaNReg. EmployeesNaN상용근로자2342NaNReg. EmployeesNaN상용근로자
7NaN임시 및 일용34442104912777766686456329348849173411465388621441522651268465NaNTemp. EmployeesNaN임시 및 일용185156774117661717665881222995361086929665257211091386422689NaNTemp. EmployeesNaN임시 및 일용678NaNTemp. EmployeesNaN임시 및 일용
8NaN기타종사자128754442276424418329164116384123338216854849341098419165NaNUnpaid. EmployeesNaN기타종사자301221677077961393988933499608969228584161397124203NaNUnpaid. EmployeesNaN기타종사자225NaNUnpaid. EmployeesNaN기타종사자
9NaN<NA>NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN<NA>NaN<NA>NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN<NA>NaN<NA>NaNNaN<NA>NaN<NA>
6. 산업중분류, 종사상지위 및 읍면동별 종사자수Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 96. Number of Workers by Industrial Divisions, Status of Workers & ProvincesUnnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 206. 산업중분류, 종사상지위 및 읍면동별 종사자수.1Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26Unnamed: 27Unnamed: 28Unnamed: 29Unnamed: 306. Number of Workers by Industrial Divisions, Status of Workers & Provinces.1Unnamed: 32Unnamed: 33Unnamed: 34Unnamed: 35Unnamed: 36Unnamed: 37Unnamed: 38Unnamed: 39Unnamed: 40Unnamed: 416. 산업중분류, 종사상지위 및 읍면동별 종사자수.2Unnamed: 43Unnamed: 44Unnamed: 45Unnamed: 46Unnamed: 47Unnamed: 48
570NaN무급가족1746581035336668766566NaNFamily WorkersNaN무급가족312811613543123553724NaNFamily WorkersNaN무급가족2NaNFamily WorkersNaN무급가족
571NaN상용근로자23216293967563830612083191294212473297147NaNReg. EmployeesNaN상용근로자51349732932511439944579121619481614412NaNReg. EmployeesNaN상용근로자54NaNReg. EmployeesNaN상용근로자
572NaN임시 및 일용213574432-293161041004135NaNTemp. EmployeesNaN임시 및 일용12411129112856101233053-NaNTemp. EmployeesNaN임시 및 일용2NaNTemp. EmployeesNaN임시 및 일용
573NaN기타종사자22------------16---NaNUnpaid. EmployeesNaN기타종사자--2-11-216--5-1---NaNUnpaid. EmployeesNaN기타종사자-NaNUnpaid. EmployeesNaN기타종사자
57496기타 개인 서비스업496314031461554787175680518116948719212492004096기타 개인 서비스업96기타 개인 서비스업3711514431329258275198163922319014527117319811518696기타 개인 서비스업96기타 개인 서비스업13896기타 개인 서비스업96기타 개인 서비스업
575NaN자영업자22566529542125514303717373705187311610228NaNIndividual Prop.NaN자영업자2370721421033411370731111816813944775581NaNIndividual Prop.NaN자영업자75NaNIndividual Prop.NaN자영업자
576NaN무급가족38610917728355251616515021195NaNFamily WorkersNaN무급가족7161424141299127151713226111820NaNFamily WorkersNaN무급가족5NaNFamily WorkersNaN무급가족
577NaN상용근로자10563045922316-1326931242036628324NaNReg. EmployeesNaN상용근로자59253366172913864431356473521842NaNReg. EmployeesNaN상용근로자27NaNReg. EmployeesNaN상용근로자
578NaN임시 및 일용10702782611-6-61205124745270463NaNTemp. EmployeesNaN임시 및 일용22030114751156253405231294532582438NaNTemp. EmployeesNaN임시 및 일용31NaNTemp. EmployeesNaN임시 및 일용
579NaN기타종사자1956033102-211223-480141-NaNUnpaid. EmployeesNaN기타종사자--3-34-25355130-118--5NaNUnpaid. EmployeesNaN기타종사자-NaNUnpaid. EmployeesNaN기타종사자

Duplicate rows

Most frequently occurring

Unnamed: 1Unnamed: 20Unnamed: 22Unnamed: 41Unnamed: 43Unnamed: 46Unnamed: 48# duplicates
0기타종사자Unpaid. Employees기타종사자Unpaid. Employees기타종사자Unpaid. Employees기타종사자93
1무급가족Family Workers무급가족Family Workers무급가족Family Workers무급가족93
2상용근로자Reg. Employees상용근로자Reg. Employees상용근로자Reg. Employees상용근로자93
3임시 및 일용Temp. Employees임시 및 일용Temp. Employees임시 및 일용Temp. Employees임시 및 일용93
4자영업자Individual Prop.자영업자Individual Prop.자영업자Individual Prop.자영업자93
5<NA><NA><NA><NA><NA><NA><NA>21