Overview

Dataset statistics

Number of variables26
Number of observations198
Missing cells415
Missing cells (%)8.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory40.3 KiB
Average record size in memory208.7 B

Variable types

Text15
Categorical11

Alerts

Unnamed: 4 is highly imbalanced (86.1%)Imbalance
Unnamed: 5 is highly imbalanced (85.0%)Imbalance
Unnamed: 6 is highly imbalanced (81.1%)Imbalance
Unnamed: 7 is highly imbalanced (79.3%)Imbalance
Unnamed: 8 is highly imbalanced (77.6%)Imbalance
Unnamed: 9 is highly imbalanced (76.3%)Imbalance
Unnamed: 10 is highly imbalanced (86.6%)Imbalance
Unnamed: 11 is highly imbalanced (88.3%)Imbalance
Unnamed: 12 is highly imbalanced (86.4%)Imbalance
Unnamed: 25 is highly imbalanced (88.1%)Imbalance
장애수당 수급 장애인 현황(전체) has 193 (97.5%) missing valuesMissing
Unnamed: 1 has 176 (88.9%) missing valuesMissing
Unnamed: 3 has 4 (2.0%) missing valuesMissing
Unnamed: 13 has 2 (1.0%) missing valuesMissing
Unnamed: 14 has 4 (2.0%) missing valuesMissing
Unnamed: 15 has 4 (2.0%) missing valuesMissing
Unnamed: 16 has 3 (1.5%) missing valuesMissing
Unnamed: 17 has 4 (2.0%) missing valuesMissing
Unnamed: 18 has 4 (2.0%) missing valuesMissing
Unnamed: 19 has 3 (1.5%) missing valuesMissing
Unnamed: 20 has 4 (2.0%) missing valuesMissing
Unnamed: 21 has 4 (2.0%) missing valuesMissing
Unnamed: 22 has 2 (1.0%) missing valuesMissing
Unnamed: 23 has 4 (2.0%) missing valuesMissing
Unnamed: 24 has 4 (2.0%) missing valuesMissing

Reproduction

Analysis started2024-03-14 02:11:29.557566
Analysis finished2024-03-14 02:11:29.988510
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

장애수당 수급 장애인 현황(전체)
Text

MISSING 

Distinct4
Distinct (%)80.0%
Missing193
Missing (%)97.5%
Memory size1.7 KiB
2024-03-14T11:11:30.046900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length4
Mean length4.6
Min length2

Characters and Unicode

Total characters23
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)60.0%

Sample

1st row(2014년 12월)
2nd row전라북도
3rd row시도
4th row합계
5th row전라북도
ValueCountFrequency (%)
전라북도 2
33.3%
2014년 1
16.7%
12월 1
16.7%
시도 1
16.7%
합계 1
16.7%
2024-03-14T11:11:30.257385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 3
13.0%
전 2
 
8.7%
라 2
 
8.7%
북 2
 
8.7%
2 2
 
8.7%
1 2
 
8.7%
( 1
 
4.3%
0 1
 
4.3%
4 1
 
4.3%
년 1
 
4.3%
Other values (6) 6
26.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14
60.9%
Decimal Number 6
26.1%
Open Punctuation 1
 
4.3%
Space Separator 1
 
4.3%
Close Punctuation 1
 
4.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 3
21.4%
전 2
14.3%
라 2
14.3%
북 2
14.3%
년 1
 
7.1%
월 1
 
7.1%
시 1
 
7.1%
합 1
 
7.1%
계 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 2
33.3%
1 2
33.3%
0 1
16.7%
4 1
16.7%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14
60.9%
Common 9
39.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 3
21.4%
전 2
14.3%
라 2
14.3%
북 2
14.3%
년 1
 
7.1%
월 1
 
7.1%
시 1
 
7.1%
합 1
 
7.1%
계 1
 
7.1%
Common
ValueCountFrequency (%)
2 2
22.2%
1 2
22.2%
( 1
11.1%
0 1
11.1%
4 1
11.1%
1
11.1%
) 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14
60.9%
ASCII 9
39.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 3
21.4%
전 2
14.3%
라 2
14.3%
북 2
14.3%
년 1
 
7.1%
월 1
 
7.1%
시 1
 
7.1%
합 1
 
7.1%
계 1
 
7.1%
ASCII
ValueCountFrequency (%)
2 2
22.2%
1 2
22.2%
( 1
11.1%
0 1
11.1%
4 1
11.1%
1
11.1%
) 1
11.1%

Unnamed: 1
Text

MISSING 

Distinct15
Distinct (%)68.2%
Missing176
Missing (%)88.9%
Memory size1.7 KiB
2024-03-14T11:11:30.451849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.9090909
Min length3

Characters and Unicode

Total characters108
Distinct characters26
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)36.4%

Sample

1st row시군구
2nd row전주시
3rd row군산시
4th row군산시
5th row익산시
ValueCountFrequency (%)
군산시 2
 
9.1%
정읍시 2
 
9.1%
김제시 2
 
9.1%
진안군 2
 
9.1%
장수군 2
 
9.1%
순창군 2
 
9.1%
부안군 2
 
9.1%
시군구 1
 
4.5%
전주시 1
 
4.5%
익산시 1
 
4.5%
Other values (5) 5
22.7%
2024-03-14T11:11:30.750220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42
38.9%
군 15
 
13.9%
시 10
 
9.3%
안 4
 
3.7%
주 3
 
2.8%
산 3
 
2.8%
창 3
 
2.8%
제 2
 
1.9%
김 2
 
1.9%
장 2
 
1.9%
Other values (16) 22
20.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66
61.1%
Space Separator 42
38.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 15
22.7%
시 10
15.2%
안 4
 
6.1%
주 3
 
4.5%
산 3
 
4.5%
창 3
 
4.5%
제 2
 
3.0%
김 2
 
3.0%
장 2
 
3.0%
수 2
 
3.0%
Other values (15) 20
30.3%
Space Separator
ValueCountFrequency (%)
42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66
61.1%
Common 42
38.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 15
22.7%
시 10
15.2%
안 4
 
6.1%
주 3
 
4.5%
산 3
 
4.5%
창 3
 
4.5%
제 2
 
3.0%
김 2
 
3.0%
장 2
 
3.0%
수 2
 
3.0%
Other values (15) 20
30.3%
Common
ValueCountFrequency (%)
42
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66
61.1%
ASCII 42
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
42
100.0%
Hangul
ValueCountFrequency (%)
군 15
22.7%
시 10
15.2%
안 4
 
6.1%
주 3
 
4.5%
산 3
 
4.5%
창 3
 
4.5%
제 2
 
3.0%
김 2
 
3.0%
장 2
 
3.0%
수 2
 
3.0%
Other values (15) 20
30.3%

Unnamed: 2
Categorical

Distinct18
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
정신
14 
지체
14 
시각
14 
청각
14 
언어
14 
Other values (13)
128 

Length

Max length5
Median length2
Mean length2.3484848
Min length1

Unique

Unique2 ?
Unique (%)1.0%

Sample

1st row<NA>
2nd row<NA>
3rd row장애 유형
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
정신 14
 
7.1%
지체 14
 
7.1%
시각 14
 
7.1%
청각 14
 
7.1%
언어 14
 
7.1%
지적 14
 
7.1%
뇌병변 14
 
7.1%
간질 14
 
7.1%
소계 14
 
7.1%
신장 13
 
6.6%
Other values (8) 59
29.8%

Length

2024-03-14T11:11:30.870941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
정신 14
 
7.0%
시각 14
 
7.0%
청각 14
 
7.0%
언어 14
 
7.0%
지적 14
 
7.0%
뇌병변 14
 
7.0%
간질 14
 
7.0%
소계 14
 
7.0%
지체 14
 
7.0%
장루.요루 13
 
6.5%
Other values (9) 60
30.2%

Unnamed: 3
Text

MISSING 

Distinct115
Distinct (%)59.3%
Missing4
Missing (%)2.0%
Memory size1.7 KiB
2024-03-14T11:11:31.102281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length3.1597938
Min length2

Characters and Unicode

Total characters613
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)46.9%

Sample

1st row합계
2nd row22,312
3rd row4,756
4th row2,353
5th row379
ValueCountFrequency (%)
2 13
 
6.7%
1 13
 
6.7%
3 9
 
4.6%
4 8
 
4.1%
5 7
 
3.6%
10 7
 
3.6%
6 5
 
2.6%
16 4
 
2.1%
8 3
 
1.5%
9 3
 
1.5%
Other values (105) 122
62.9%
2024-03-14T11:11:31.444833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
193
31.5%
1 86
14.0%
2 69
 
11.3%
6 44
 
7.2%
4 42
 
6.9%
3 38
 
6.2%
0 35
 
5.7%
5 31
 
5.1%
9 24
 
3.9%
7 20
 
3.3%
Other values (4) 31
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 404
65.9%
Space Separator 193
31.5%
Other Punctuation 14
 
2.3%
Other Letter 2
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 86
21.3%
2 69
17.1%
6 44
10.9%
4 42
10.4%
3 38
9.4%
0 35
8.7%
5 31
 
7.7%
9 24
 
5.9%
7 20
 
5.0%
8 15
 
3.7%
Other Letter
ValueCountFrequency (%)
합 1
50.0%
계 1
50.0%
Space Separator
ValueCountFrequency (%)
193
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 611
99.7%
Hangul 2
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
193
31.6%
1 86
14.1%
2 69
 
11.3%
6 44
 
7.2%
4 42
 
6.9%
3 38
 
6.2%
0 35
 
5.7%
5 31
 
5.1%
9 24
 
3.9%
7 20
 
3.3%
Other values (2) 29
 
4.7%
Hangul
ValueCountFrequency (%)
합 1
50.0%
계 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 611
99.7%
Hangul 2
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
193
31.6%
1 86
14.1%
2 69
 
11.3%
6 44
 
7.2%
4 42
 
6.9%
3 38
 
6.2%
0 35
 
5.7%
5 31
 
5.1%
9 24
 
3.9%
7 20
 
3.3%
Other values (2) 29
 
4.7%
Hangul
ValueCountFrequency (%)
합 1
50.0%
계 1
50.0%

Unnamed: 4
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
189 
1
 
4
<NA>
 
2
중증
 
1
1급
 
1

Length

Max length4
Median length2
Mean length2.0151515
Min length1

Unique

Unique3 ?
Unique (%)1.5%

Sample

1st row<NA>
2nd row<NA>
3rd row중증
4th row1급
5th row남

Common Values

ValueCountFrequency (%)
0 189
95.5%
1 4
 
2.0%
<NA> 2
 
1.0%
중증 1
 
0.5%
1급 1
 
0.5%
남 1
 
0.5%

Length

2024-03-14T11:11:31.586156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:11:31.677077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 189
95.5%
1 4
 
2.0%
na 2
 
1.0%
중증 1
 
0.5%
1급 1
 
0.5%
남 1
 
0.5%

Unnamed: 5
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
190 
<NA>
 
4
1
 
3
여
 
1

Length

Max length4
Median length2
Mean length2.0353535
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row여

Common Values

ValueCountFrequency (%)
0 190
96.0%
<NA> 4
 
2.0%
1 3
 
1.5%
여 1
 
0.5%

Length

2024-03-14T11:11:31.780131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:11:31.866962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 190
96.0%
na 4
 
2.0%
1 3
 
1.5%
여 1
 
0.5%

Unnamed: 6
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
186 
1
 
5
<NA>
 
4
2
 
2
계
 
1

Length

Max length4
Median length2
Mean length2.0353535
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row계

Common Values

ValueCountFrequency (%)
0 186
93.9%
1 5
 
2.5%
<NA> 4
 
2.0%
2 2
 
1.0%
계 1
 
0.5%

Length

2024-03-14T11:11:31.957464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:11:32.260520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 186
93.9%
1 5
 
2.5%
na 4
 
2.0%
2 2
 
1.0%
계 1
 
0.5%

Unnamed: 7
Categorical

IMBALANCE 

Distinct7
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
181 
1
 
10
<NA>
 
3
2급
 
1
남
 
1
Other values (2)
 
2

Length

Max length4
Median length2
Mean length2.0252525
Min length1

Unique

Unique4 ?
Unique (%)2.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row2급
5th row남

Common Values

ValueCountFrequency (%)
0 181
91.4%
1 10
 
5.1%
<NA> 3
 
1.5%
2급 1
 
0.5%
남 1
 
0.5%
6 1
 
0.5%
2 1
 
0.5%

Length

2024-03-14T11:11:32.346028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:11:32.436697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 181
91.4%
1 10
 
5.1%
na 3
 
1.5%
2급 1
 
0.5%
남 1
 
0.5%
6 1
 
0.5%
2 1
 
0.5%

Unnamed: 8
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
181 
1
 
9
<NA>
 
4
6
 
2
여
 
1

Length

Max length4
Median length2
Mean length2.0353535
Min length1

Unique

Unique2 ?
Unique (%)1.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row여

Common Values

ValueCountFrequency (%)
0 181
91.4%
1 9
 
4.5%
<NA> 4
 
2.0%
6 2
 
1.0%
여 1
 
0.5%
8 1
 
0.5%

Length

2024-03-14T11:11:32.552932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:11:32.682370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 181
91.4%
1 9
 
4.5%
na 4
 
2.0%
6 2
 
1.0%
여 1
 
0.5%
8 1
 
0.5%

Unnamed: 9
Categorical

IMBALANCE 

Distinct8
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
178 
1
 
6
2
 
6
<NA>
 
4
계
 
1
Other values (3)
 
3

Length

Max length4
Median length2
Mean length2.0454545
Min length1

Unique

Unique4 ?
Unique (%)2.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row계

Common Values

ValueCountFrequency (%)
0 178
89.9%
1 6
 
3.0%
2 6
 
3.0%
<NA> 4
 
2.0%
계 1
 
0.5%
12 1
 
0.5%
10 1
 
0.5%
7 1
 
0.5%

Length

2024-03-14T11:11:32.796656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:11:32.908079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 178
89.9%
1 6
 
3.0%
2 6
 
3.0%
na 4
 
2.0%
계 1
 
0.5%
12 1
 
0.5%
10 1
 
0.5%
7 1
 
0.5%

Unnamed: 10
Categorical

IMBALANCE 

Distinct7
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
189 
<NA>
 
3
1
 
2
3급
 
1
남
 
1
Other values (2)
 
2

Length

Max length4
Median length2
Mean length2.0252525
Min length1

Unique

Unique4 ?
Unique (%)2.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row3급
5th row남

Common Values

ValueCountFrequency (%)
0 189
95.5%
<NA> 3
 
1.5%
1 2
 
1.0%
3급 1
 
0.5%
남 1
 
0.5%
7 1
 
0.5%
2 1
 
0.5%

Length

2024-03-14T11:11:33.004554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:11:33.103161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 189
95.5%
na 3
 
1.5%
1 2
 
1.0%
3급 1
 
0.5%
남 1
 
0.5%
7 1
 
0.5%
2 1
 
0.5%

Unnamed: 11
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
192 
<NA>
 
4
여
 
1
4
 
1

Length

Max length4
Median length2
Mean length2.0353535
Min length1

Unique

Unique2 ?
Unique (%)1.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row여

Common Values

ValueCountFrequency (%)
0 192
97.0%
<NA> 4
 
2.0%
여 1
 
0.5%
4 1
 
0.5%

Length

2024-03-14T11:11:33.215382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:11:33.302241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 192
97.0%
na 4
 
2.0%
여 1
 
0.5%
4 1
 
0.5%

Unnamed: 12
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
190 
<NA>
 
4
1
 
2
계
 
1
11
 
1

Length

Max length4
Median length2
Mean length2.040404
Min length1

Unique

Unique2 ?
Unique (%)1.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row계

Common Values

ValueCountFrequency (%)
0 190
96.0%
<NA> 4
 
2.0%
1 2
 
1.0%
계 1
 
0.5%
11 1
 
0.5%

Length

2024-03-14T11:11:33.387362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:11:33.475225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 190
96.0%
na 4
 
2.0%
1 2
 
1.0%
계 1
 
0.5%
11 1
 
0.5%

Unnamed: 13
Text

MISSING 

Distinct74
Distinct (%)37.8%
Missing2
Missing (%)1.0%
Memory size1.7 KiB
2024-03-14T11:11:33.680369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length2.5459184
Min length1

Characters and Unicode

Total characters499
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)26.0%

Sample

1st row경증
2nd row3급
3rd row남
4th row4,378
5th row986
ValueCountFrequency (%)
0 40
20.4%
1 19
 
9.7%
2 16
 
8.2%
5 9
 
4.6%
3 7
 
3.6%
9 6
 
3.1%
7 5
 
2.6%
12 4
 
2.0%
4 4
 
2.0%
14 4
 
2.0%
Other values (64) 82
41.8%
2024-03-14T11:11:33.940664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
193
38.7%
1 60
 
12.0%
0 56
 
11.2%
2 39
 
7.8%
3 28
 
5.6%
7 24
 
4.8%
5 22
 
4.4%
4 22
 
4.4%
9 18
 
3.6%
8 17
 
3.4%
Other values (6) 20
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 301
60.3%
Space Separator 193
38.7%
Other Letter 4
 
0.8%
Other Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 60
19.9%
0 56
18.6%
2 39
13.0%
3 28
9.3%
7 24
 
8.0%
5 22
 
7.3%
4 22
 
7.3%
9 18
 
6.0%
8 17
 
5.6%
6 15
 
5.0%
Other Letter
ValueCountFrequency (%)
경 1
25.0%
증 1
25.0%
급 1
25.0%
남 1
25.0%
Space Separator
ValueCountFrequency (%)
193
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 495
99.2%
Hangul 4
 
0.8%

Most frequent character per script

Common
ValueCountFrequency (%)
193
39.0%
1 60
 
12.1%
0 56
 
11.3%
2 39
 
7.9%
3 28
 
5.7%
7 24
 
4.8%
5 22
 
4.4%
4 22
 
4.4%
9 18
 
3.6%
8 17
 
3.4%
Other values (2) 16
 
3.2%
Hangul
ValueCountFrequency (%)
경 1
25.0%
증 1
25.0%
급 1
25.0%
남 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 495
99.2%
Hangul 4
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
193
39.0%
1 60
 
12.1%
0 56
 
11.3%
2 39
 
7.9%
3 28
 
5.7%
7 24
 
4.8%
5 22
 
4.4%
4 22
 
4.4%
9 18
 
3.6%
8 17
 
3.4%
Other values (2) 16
 
3.2%
Hangul
ValueCountFrequency (%)
경 1
25.0%
증 1
25.0%
급 1
25.0%
남 1
25.0%

Unnamed: 14
Text

MISSING 

Distinct70
Distinct (%)36.1%
Missing4
Missing (%)2.0%
Memory size1.7 KiB
2024-03-14T11:11:34.096996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length2.5206186
Min length1

Characters and Unicode

Total characters489
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)24.2%

Sample

1st row여
2nd row3,667
3rd row814
4th row185
5th row37
ValueCountFrequency (%)
0 49
25.3%
1 17
 
8.8%
2 15
 
7.7%
3 9
 
4.6%
4 9
 
4.6%
6 5
 
2.6%
14 5
 
2.6%
7 4
 
2.1%
45 3
 
1.5%
5 3
 
1.5%
Other values (60) 75
38.7%
2024-03-14T11:11:34.364764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
193
39.5%
1 55
 
11.2%
0 54
 
11.0%
2 39
 
8.0%
4 29
 
5.9%
3 28
 
5.7%
5 23
 
4.7%
6 21
 
4.3%
8 18
 
3.7%
7 16
 
3.3%
Other values (3) 13
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 294
60.1%
Space Separator 193
39.5%
Other Letter 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 55
18.7%
0 54
18.4%
2 39
13.3%
4 29
9.9%
3 28
9.5%
5 23
7.8%
6 21
 
7.1%
8 18
 
6.1%
7 16
 
5.4%
9 11
 
3.7%
Space Separator
ValueCountFrequency (%)
193
100.0%
Other Letter
ValueCountFrequency (%)
여 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 488
99.8%
Hangul 1
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
193
39.5%
1 55
 
11.3%
0 54
 
11.1%
2 39
 
8.0%
4 29
 
5.9%
3 28
 
5.7%
5 23
 
4.7%
6 21
 
4.3%
8 18
 
3.7%
7 16
 
3.3%
Other values (2) 12
 
2.5%
Hangul
ValueCountFrequency (%)
여 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 488
99.8%
Hangul 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
193
39.5%
1 55
 
11.3%
0 54
 
11.1%
2 39
 
8.0%
4 29
 
5.9%
3 28
 
5.7%
5 23
 
4.7%
6 21
 
4.3%
8 18
 
3.7%
7 16
 
3.3%
Other values (2) 12
 
2.5%
Hangul
ValueCountFrequency (%)
여 1
100.0%

Unnamed: 15
Text

MISSING 

Distinct90
Distinct (%)46.4%
Missing4
Missing (%)2.0%
Memory size1.7 KiB
2024-03-14T11:11:34.543984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length2.7835052
Min length1

Characters and Unicode

Total characters540
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)35.6%

Sample

1st row계
2nd row8,045
3rd row1,800
4th row487
5th row54
ValueCountFrequency (%)
0 30
 
15.5%
1 17
 
8.8%
2 10
 
5.2%
10 10
 
5.2%
4 9
 
4.6%
3 8
 
4.1%
6 5
 
2.6%
32 4
 
2.1%
5 4
 
2.1%
15 4
 
2.1%
Other values (80) 93
47.9%
2024-03-14T11:11:34.857724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
193
35.7%
1 76
 
14.1%
0 59
 
10.9%
2 42
 
7.8%
3 39
 
7.2%
4 30
 
5.6%
5 26
 
4.8%
6 21
 
3.9%
7 20
 
3.7%
8 16
 
3.0%
Other values (3) 18
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 342
63.3%
Space Separator 193
35.7%
Other Punctuation 4
 
0.7%
Other Letter 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 76
22.2%
0 59
17.3%
2 42
12.3%
3 39
11.4%
4 30
 
8.8%
5 26
 
7.6%
6 21
 
6.1%
7 20
 
5.8%
8 16
 
4.7%
9 13
 
3.8%
Space Separator
ValueCountFrequency (%)
193
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Other Letter
ValueCountFrequency (%)
계 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 539
99.8%
Hangul 1
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
193
35.8%
1 76
 
14.1%
0 59
 
10.9%
2 42
 
7.8%
3 39
 
7.2%
4 30
 
5.6%
5 26
 
4.8%
6 21
 
3.9%
7 20
 
3.7%
8 16
 
3.0%
Other values (2) 17
 
3.2%
Hangul
ValueCountFrequency (%)
계 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 539
99.8%
Hangul 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
193
35.8%
1 76
 
14.1%
0 59
 
10.9%
2 42
 
7.8%
3 39
 
7.2%
4 30
 
5.6%
5 26
 
4.8%
6 21
 
3.9%
7 20
 
3.7%
8 16
 
3.0%
Other values (2) 17
 
3.2%
Hangul
ValueCountFrequency (%)
계 1
100.0%

Unnamed: 16
Text

MISSING 

Distinct54
Distinct (%)27.7%
Missing3
Missing (%)1.5%
Memory size1.7 KiB
2024-03-14T11:11:35.034184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length2.3435897
Min length1

Characters and Unicode

Total characters457
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)19.0%

Sample

1st row4급
2nd row남
3rd row2,009
4th row449
5th row248
ValueCountFrequency (%)
0 81
41.5%
3 12
 
6.2%
1 12
 
6.2%
2 8
 
4.1%
5 8
 
4.1%
4 5
 
2.6%
6 4
 
2.1%
7 4
 
2.1%
8 4
 
2.1%
20 4
 
2.1%
Other values (44) 53
27.2%
2024-03-14T11:11:35.313109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
193
42.2%
0 93
20.4%
1 32
 
7.0%
2 30
 
6.6%
4 26
 
5.7%
3 24
 
5.3%
5 14
 
3.1%
9 12
 
2.6%
6 11
 
2.4%
7 10
 
2.2%
Other values (4) 12
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 261
57.1%
Space Separator 193
42.2%
Other Letter 2
 
0.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 93
35.6%
1 32
 
12.3%
2 30
 
11.5%
4 26
 
10.0%
3 24
 
9.2%
5 14
 
5.4%
9 12
 
4.6%
6 11
 
4.2%
7 10
 
3.8%
8 9
 
3.4%
Other Letter
ValueCountFrequency (%)
급 1
50.0%
남 1
50.0%
Space Separator
ValueCountFrequency (%)
193
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 455
99.6%
Hangul 2
 
0.4%

Most frequent character per script

Common
ValueCountFrequency (%)
193
42.4%
0 93
20.4%
1 32
 
7.0%
2 30
 
6.6%
4 26
 
5.7%
3 24
 
5.3%
5 14
 
3.1%
9 12
 
2.6%
6 11
 
2.4%
7 10
 
2.2%
Other values (2) 10
 
2.2%
Hangul
ValueCountFrequency (%)
급 1
50.0%
남 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 455
99.6%
Hangul 2
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
193
42.4%
0 93
20.4%
1 32
 
7.0%
2 30
 
6.6%
4 26
 
5.7%
3 24
 
5.3%
5 14
 
3.1%
9 12
 
2.6%
6 11
 
2.4%
7 10
 
2.2%
Other values (2) 10
 
2.2%
Hangul
ValueCountFrequency (%)
급 1
50.0%
남 1
50.0%

Unnamed: 17
Text

MISSING 

Distinct62
Distinct (%)32.0%
Missing4
Missing (%)2.0%
Memory size1.7 KiB
2024-03-14T11:11:35.462841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length2.3969072
Min length1

Characters and Unicode

Total characters465
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)26.3%

Sample

1st row여
2nd row2,931
3rd row543
4th row382
5th row18
ValueCountFrequency (%)
0 78
40.2%
1 17
 
8.8%
3 9
 
4.6%
2 9
 
4.6%
4 7
 
3.6%
5 6
 
3.1%
8 5
 
2.6%
6 5
 
2.6%
12 3
 
1.5%
46 2
 
1.0%
Other values (52) 53
27.3%
2024-03-14T11:11:35.701253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
193
41.5%
0 85
18.3%
1 46
 
9.9%
2 31
 
6.7%
3 25
 
5.4%
4 21
 
4.5%
5 19
 
4.1%
6 16
 
3.4%
8 11
 
2.4%
7 10
 
2.2%
Other values (3) 8
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 270
58.1%
Space Separator 193
41.5%
Other Punctuation 1
 
0.2%
Other Letter 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 85
31.5%
1 46
17.0%
2 31
 
11.5%
3 25
 
9.3%
4 21
 
7.8%
5 19
 
7.0%
6 16
 
5.9%
8 11
 
4.1%
7 10
 
3.7%
9 6
 
2.2%
Space Separator
ValueCountFrequency (%)
193
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Other Letter
ValueCountFrequency (%)
여 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 464
99.8%
Hangul 1
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
193
41.6%
0 85
18.3%
1 46
 
9.9%
2 31
 
6.7%
3 25
 
5.4%
4 21
 
4.5%
5 19
 
4.1%
6 16
 
3.4%
8 11
 
2.4%
7 10
 
2.2%
Other values (2) 7
 
1.5%
Hangul
ValueCountFrequency (%)
여 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 464
99.8%
Hangul 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
193
41.6%
0 85
18.3%
1 46
 
9.9%
2 31
 
6.7%
3 25
 
5.4%
4 21
 
4.5%
5 19
 
4.1%
6 16
 
3.4%
8 11
 
2.4%
7 10
 
2.2%
Other values (2) 7
 
1.5%
Hangul
ValueCountFrequency (%)
여 1
100.0%

Unnamed: 18
Text

MISSING 

Distinct69
Distinct (%)35.6%
Missing4
Missing (%)2.0%
Memory size1.7 KiB
2024-03-14T11:11:35.894432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length2.5154639
Min length1

Characters and Unicode

Total characters488
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)24.7%

Sample

1st row계
2nd row4,940
3rd row992
4th row630
5th row37
ValueCountFrequency (%)
0 73
37.6%
2 9
 
4.6%
1 7
 
3.6%
7 6
 
3.1%
6 5
 
2.6%
4 5
 
2.6%
5 5
 
2.6%
11 5
 
2.6%
3 5
 
2.6%
8 4
 
2.1%
Other values (59) 70
36.1%
2024-03-14T11:11:36.156530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
193
39.5%
0 89
18.2%
1 52
 
10.7%
2 32
 
6.6%
4 22
 
4.5%
7 20
 
4.1%
5 20
 
4.1%
3 18
 
3.7%
6 16
 
3.3%
8 12
 
2.5%
Other values (3) 14
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 293
60.0%
Space Separator 193
39.5%
Other Punctuation 1
 
0.2%
Other Letter 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 89
30.4%
1 52
17.7%
2 32
 
10.9%
4 22
 
7.5%
7 20
 
6.8%
5 20
 
6.8%
3 18
 
6.1%
6 16
 
5.5%
8 12
 
4.1%
9 12
 
4.1%
Space Separator
ValueCountFrequency (%)
193
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Other Letter
ValueCountFrequency (%)
계 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 487
99.8%
Hangul 1
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
193
39.6%
0 89
18.3%
1 52
 
10.7%
2 32
 
6.6%
4 22
 
4.5%
7 20
 
4.1%
5 20
 
4.1%
3 18
 
3.7%
6 16
 
3.3%
8 12
 
2.5%
Other values (2) 13
 
2.7%
Hangul
ValueCountFrequency (%)
계 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 487
99.8%
Hangul 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
193
39.6%
0 89
18.3%
1 52
 
10.7%
2 32
 
6.6%
4 22
 
4.5%
7 20
 
4.1%
5 20
 
4.1%
3 18
 
3.7%
6 16
 
3.3%
8 12
 
2.5%
Other values (2) 13
 
2.7%
Hangul
ValueCountFrequency (%)
계 1
100.0%

Unnamed: 19
Text

MISSING 

Distinct55
Distinct (%)28.2%
Missing3
Missing (%)1.5%
Memory size1.7 KiB
2024-03-14T11:11:36.292076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length2.3282051
Min length1

Characters and Unicode

Total characters454
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)20.0%

Sample

1st row5급
2nd row남
3rd row1,920
4th row461
5th row274
ValueCountFrequency (%)
0 86
44.1%
1 20
 
10.3%
2 11
 
5.6%
3 10
 
5.1%
4 4
 
2.1%
5 4
 
2.1%
9 3
 
1.5%
15 2
 
1.0%
8 2
 
1.0%
41 2
 
1.0%
Other values (45) 51
26.2%
2024-03-14T11:11:36.543504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
193
42.5%
0 91
20.0%
1 46
 
10.1%
2 28
 
6.2%
3 22
 
4.8%
4 14
 
3.1%
5 14
 
3.1%
8 13
 
2.9%
9 12
 
2.6%
6 10
 
2.2%
Other values (4) 11
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 258
56.8%
Space Separator 193
42.5%
Other Letter 2
 
0.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 91
35.3%
1 46
17.8%
2 28
 
10.9%
3 22
 
8.5%
4 14
 
5.4%
5 14
 
5.4%
8 13
 
5.0%
9 12
 
4.7%
6 10
 
3.9%
7 8
 
3.1%
Other Letter
ValueCountFrequency (%)
급 1
50.0%
남 1
50.0%
Space Separator
ValueCountFrequency (%)
193
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 452
99.6%
Hangul 2
 
0.4%

Most frequent character per script

Common
ValueCountFrequency (%)
193
42.7%
0 91
20.1%
1 46
 
10.2%
2 28
 
6.2%
3 22
 
4.9%
4 14
 
3.1%
5 14
 
3.1%
8 13
 
2.9%
9 12
 
2.7%
6 10
 
2.2%
Other values (2) 9
 
2.0%
Hangul
ValueCountFrequency (%)
급 1
50.0%
남 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 452
99.6%
Hangul 2
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
193
42.7%
0 91
20.1%
1 46
 
10.2%
2 28
 
6.2%
3 22
 
4.9%
4 14
 
3.1%
5 14
 
3.1%
8 13
 
2.9%
9 12
 
2.7%
6 10
 
2.2%
Other values (2) 9
 
2.0%
Hangul
ValueCountFrequency (%)
급 1
50.0%
남 1
50.0%

Unnamed: 20
Text

MISSING 

Distinct57
Distinct (%)29.4%
Missing4
Missing (%)2.0%
Memory size1.7 KiB
2024-03-14T11:11:36.676150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length2.371134
Min length1

Characters and Unicode

Total characters460
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)21.6%

Sample

1st row여
2nd row3,054
3rd row646
4th row477
5th row23
ValueCountFrequency (%)
0 97
50.0%
1 14
 
7.2%
2 6
 
3.1%
3 5
 
2.6%
4 5
 
2.6%
6 4
 
2.1%
64 3
 
1.5%
7 3
 
1.5%
5 3
 
1.5%
26 2
 
1.0%
Other values (47) 52
26.8%
2024-03-14T11:11:36.921280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
193
42.0%
0 105
22.8%
1 38
 
8.3%
2 23
 
5.0%
4 22
 
4.8%
3 19
 
4.1%
6 17
 
3.7%
5 12
 
2.6%
9 11
 
2.4%
7 10
 
2.2%
Other values (3) 10
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 265
57.6%
Space Separator 193
42.0%
Other Punctuation 1
 
0.2%
Other Letter 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 105
39.6%
1 38
 
14.3%
2 23
 
8.7%
4 22
 
8.3%
3 19
 
7.2%
6 17
 
6.4%
5 12
 
4.5%
9 11
 
4.2%
7 10
 
3.8%
8 8
 
3.0%
Space Separator
ValueCountFrequency (%)
193
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Other Letter
ValueCountFrequency (%)
여 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 459
99.8%
Hangul 1
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
193
42.0%
0 105
22.9%
1 38
 
8.3%
2 23
 
5.0%
4 22
 
4.8%
3 19
 
4.1%
6 17
 
3.7%
5 12
 
2.6%
9 11
 
2.4%
7 10
 
2.2%
Other values (2) 9
 
2.0%
Hangul
ValueCountFrequency (%)
여 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 459
99.8%
Hangul 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
193
42.0%
0 105
22.9%
1 38
 
8.3%
2 23
 
5.0%
4 22
 
4.8%
3 19
 
4.1%
6 17
 
3.7%
5 12
 
2.6%
9 11
 
2.4%
7 10
 
2.2%
Other values (2) 9
 
2.0%
Hangul
ValueCountFrequency (%)
여 1
100.0%

Unnamed: 21
Text

MISSING 

Distinct62
Distinct (%)32.0%
Missing4
Missing (%)2.0%
Memory size1.7 KiB
2024-03-14T11:11:37.118809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length2.4793814
Min length1

Characters and Unicode

Total characters481
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)24.2%

Sample

1st row계
2nd row4,974
3rd row1,107
4th row751
5th row48
ValueCountFrequency (%)
0 78
40.2%
1 15
 
7.7%
2 10
 
5.2%
3 7
 
3.6%
5 6
 
3.1%
6 5
 
2.6%
7 4
 
2.1%
4 4
 
2.1%
110 3
 
1.5%
18 3
 
1.5%
Other values (52) 59
30.4%
2024-03-14T11:11:37.424568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
193
40.1%
0 90
18.7%
1 50
 
10.4%
2 29
 
6.0%
4 25
 
5.2%
5 21
 
4.4%
3 18
 
3.7%
6 16
 
3.3%
7 15
 
3.1%
8 11
 
2.3%
Other values (3) 13
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 285
59.3%
Space Separator 193
40.1%
Other Punctuation 2
 
0.4%
Other Letter 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 90
31.6%
1 50
17.5%
2 29
 
10.2%
4 25
 
8.8%
5 21
 
7.4%
3 18
 
6.3%
6 16
 
5.6%
7 15
 
5.3%
8 11
 
3.9%
9 10
 
3.5%
Space Separator
ValueCountFrequency (%)
193
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Other Letter
ValueCountFrequency (%)
계 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 480
99.8%
Hangul 1
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
193
40.2%
0 90
18.8%
1 50
 
10.4%
2 29
 
6.0%
4 25
 
5.2%
5 21
 
4.4%
3 18
 
3.8%
6 16
 
3.3%
7 15
 
3.1%
8 11
 
2.3%
Other values (2) 12
 
2.5%
Hangul
ValueCountFrequency (%)
계 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 480
99.8%
Hangul 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
193
40.2%
0 90
18.8%
1 50
 
10.4%
2 29
 
6.0%
4 25
 
5.2%
5 21
 
4.4%
3 18
 
3.8%
6 16
 
3.3%
7 15
 
3.1%
8 11
 
2.3%
Other values (2) 12
 
2.5%
Hangul
ValueCountFrequency (%)
계 1
100.0%

Unnamed: 22
Text

MISSING 

Distinct57
Distinct (%)29.1%
Missing2
Missing (%)1.0%
Memory size1.7 KiB
2024-03-14T11:11:37.569949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length2
Mean length2.377551
Min length1

Characters and Unicode

Total characters466
Distinct characters20
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)22.4%

Sample

1st row(단위: 명)
2nd row6급
3rd row남
4th row2,114
5th row477
ValueCountFrequency (%)
0 122
61.9%
9 4
 
2.0%
1 3
 
1.5%
2 3
 
1.5%
13 3
 
1.5%
38 3
 
1.5%
7 2
 
1.0%
4 2
 
1.0%
3 2
 
1.0%
34 2
 
1.0%
Other values (48) 51
25.9%
2024-03-14T11:11:37.825130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
194
41.6%
0 130
27.9%
1 33
 
7.1%
3 22
 
4.7%
2 18
 
3.9%
4 12
 
2.6%
9 12
 
2.6%
6 10
 
2.1%
7 10
 
2.1%
5 9
 
1.9%
Other values (10) 16
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 263
56.4%
Space Separator 194
41.6%
Other Letter 5
 
1.1%
Other Punctuation 2
 
0.4%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 130
49.4%
1 33
 
12.5%
3 22
 
8.4%
2 18
 
6.8%
4 12
 
4.6%
9 12
 
4.6%
6 10
 
3.8%
7 10
 
3.8%
5 9
 
3.4%
8 7
 
2.7%
Other Letter
ValueCountFrequency (%)
단 1
20.0%
위 1
20.0%
명 1
20.0%
남 1
20.0%
급 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
: 1
50.0%
Space Separator
ValueCountFrequency (%)
194
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 461
98.9%
Hangul 5
 
1.1%

Most frequent character per script

Common
ValueCountFrequency (%)
194
42.1%
0 130
28.2%
1 33
 
7.2%
3 22
 
4.8%
2 18
 
3.9%
4 12
 
2.6%
9 12
 
2.6%
6 10
 
2.2%
7 10
 
2.2%
5 9
 
2.0%
Other values (5) 11
 
2.4%
Hangul
ValueCountFrequency (%)
단 1
20.0%
위 1
20.0%
명 1
20.0%
남 1
20.0%
급 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 461
98.9%
Hangul 5
 
1.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
194
42.1%
0 130
28.2%
1 33
 
7.2%
3 22
 
4.8%
2 18
 
3.9%
4 12
 
2.6%
9 12
 
2.6%
6 10
 
2.2%
7 10
 
2.2%
5 9
 
2.0%
Other values (5) 11
 
2.4%
Hangul
ValueCountFrequency (%)
단 1
20.0%
위 1
20.0%
명 1
20.0%
남 1
20.0%
급 1
20.0%

Unnamed: 23
Text

MISSING 

Distinct56
Distinct (%)28.9%
Missing4
Missing (%)2.0%
Memory size1.7 KiB
2024-03-14T11:11:37.978204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length2.371134
Min length1

Characters and Unicode

Total characters460
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)23.2%

Sample

1st row여
2nd row2,215
3rd row471
4th row289
5th row107
ValueCountFrequency (%)
0 122
62.9%
11 5
 
2.6%
1 4
 
2.1%
8 3
 
1.5%
22 3
 
1.5%
64 2
 
1.0%
2 2
 
1.0%
48 2
 
1.0%
6 2
 
1.0%
3 2
 
1.0%
Other values (46) 47
 
24.2%
2024-03-14T11:11:38.233821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
193
42.0%
0 131
28.5%
1 36
 
7.8%
2 26
 
5.7%
4 14
 
3.0%
3 12
 
2.6%
6 11
 
2.4%
5 11
 
2.4%
9 9
 
2.0%
8 8
 
1.7%
Other values (3) 9
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 265
57.6%
Space Separator 193
42.0%
Other Letter 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 131
49.4%
1 36
 
13.6%
2 26
 
9.8%
4 14
 
5.3%
3 12
 
4.5%
6 11
 
4.2%
5 11
 
4.2%
9 9
 
3.4%
8 8
 
3.0%
7 7
 
2.6%
Space Separator
ValueCountFrequency (%)
193
100.0%
Other Letter
ValueCountFrequency (%)
여 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 459
99.8%
Hangul 1
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
193
42.0%
0 131
28.5%
1 36
 
7.8%
2 26
 
5.7%
4 14
 
3.1%
3 12
 
2.6%
6 11
 
2.4%
5 11
 
2.4%
9 9
 
2.0%
8 8
 
1.7%
Other values (2) 8
 
1.7%
Hangul
ValueCountFrequency (%)
여 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 459
99.8%
Hangul 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
193
42.0%
0 131
28.5%
1 36
 
7.8%
2 26
 
5.7%
4 14
 
3.1%
3 12
 
2.6%
6 11
 
2.4%
5 11
 
2.4%
9 9
 
2.0%
8 8
 
1.7%
Other values (2) 8
 
1.7%
Hangul
ValueCountFrequency (%)
여 1
100.0%

Unnamed: 24
Text

MISSING 

Distinct61
Distinct (%)31.4%
Missing4
Missing (%)2.0%
Memory size1.7 KiB
2024-03-14T11:11:38.392872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length2.4536082
Min length1

Characters and Unicode

Total characters476
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)25.3%

Sample

1st row계
2nd row4,329
3rd row948
4th row554
5th row236
ValueCountFrequency (%)
0 122
62.9%
24 3
 
1.5%
76 2
 
1.0%
382 2
 
1.0%
28 2
 
1.0%
12 2
 
1.0%
2 2
 
1.0%
19 2
 
1.0%
4 2
 
1.0%
25 2
 
1.0%
Other values (51) 53
27.3%
2024-03-14T11:11:38.667978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
193
40.5%
0 130
27.3%
1 29
 
6.1%
2 28
 
5.9%
3 19
 
4.0%
7 15
 
3.2%
4 14
 
2.9%
5 14
 
2.9%
8 13
 
2.7%
6 11
 
2.3%
Other values (3) 10
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 281
59.0%
Space Separator 193
40.5%
Other Punctuation 1
 
0.2%
Other Letter 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 130
46.3%
1 29
 
10.3%
2 28
 
10.0%
3 19
 
6.8%
7 15
 
5.3%
4 14
 
5.0%
5 14
 
5.0%
8 13
 
4.6%
6 11
 
3.9%
9 8
 
2.8%
Space Separator
ValueCountFrequency (%)
193
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Other Letter
ValueCountFrequency (%)
계 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 475
99.8%
Hangul 1
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
193
40.6%
0 130
27.4%
1 29
 
6.1%
2 28
 
5.9%
3 19
 
4.0%
7 15
 
3.2%
4 14
 
2.9%
5 14
 
2.9%
8 13
 
2.7%
6 11
 
2.3%
Other values (2) 9
 
1.9%
Hangul
ValueCountFrequency (%)
계 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 475
99.8%
Hangul 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
193
40.6%
0 130
27.4%
1 29
 
6.1%
2 28
 
5.9%
3 19
 
4.0%
7 15
 
3.2%
4 14
 
2.9%
5 14
 
2.9%
8 13
 
2.7%
6 11
 
2.3%
Other values (2) 9
 
1.9%
Hangul
ValueCountFrequency (%)
계 1
100.0%

Unnamed: 25
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
193 
<NA>
 
4
해당 없음
 
1

Length

Max length5
Median length2
Mean length2.0555556
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row<NA>
2nd row<NA>
3rd row해당 없음
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
0 193
97.5%
<NA> 4
 
2.0%
해당 없음 1
 
0.5%

Length

2024-03-14T11:11:38.801157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:11:38.919415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 193
97.0%
na 4
 
2.0%
해당 1
 
0.5%
없음 1
 
0.5%

Sample

장애수당 수급 장애인 현황(전체)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25
0(2014년 12월)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1전라북도<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>(단위: 명)<NA><NA><NA>
2시도시군구장애 유형합계중증<NA><NA><NA><NA><NA><NA><NA><NA>경증<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>해당 없음
3<NA><NA><NA><NA>1급<NA><NA>2급<NA><NA>3급<NA><NA>3급<NA><NA>4급<NA><NA>5급<NA><NA>6급<NA><NA><NA>
4<NA><NA><NA><NA>남여계남여계남여계남여계남여계남여계남여계<NA>
5합계<NA><NA>22,312011661274114,3783,6678,0452,0092,9314,9401,9203,0544,9742,1142,2154,3290
6전라북도전주시소계4,75601228101019868141,8004495439924616461,1074774719480
7<NA><NA>지체2,3530000110003021854872483826302744777512652895540
8<NA><NA>시각3790000000001737541918372523481291072360
9<NA><NA>청각4450000000005759116696613557971542753800
장애수당 수급 장애인 현황(전체)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25
188<NA><NA>지적750000000003941800000000000
189<NA><NA>뇌병변930000000001721381614306814127190
190<NA><NA>정신700000000003233650000000000
191<NA><NA>신장30000000000000001010000
192<NA>부안군심장30000000002130000000000
193<NA><NA>호흡기30000000004040000000000
194<NA><NA>간30000000000000002020000
195<NA><NA>안면10000000000110000000000
196<NA><NA>장루.요루50000000000002240110000
197<NA><NA>간질100000000001125381120000