Overview

Dataset statistics

Number of variables32
Number of observations604
Missing cells16
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory151.1 KiB
Average record size in memory256.2 B

Variable types

Categorical2
Text30

Dataset

Description농업경영체 등록현황
Author농림축산식품부
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20220707000000002151

Reproduction

Analysis started2023-12-11 03:43:22.273475
Analysis finished2023-12-11 03:43:23.568805
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

Distinct19
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
경기도
 
36
충청북도
 
36
경상남도
 
36
제주특별자치도
 
36
세종특별자치시
 
36
Other values (14)
424 

Length

Max length7
Median length5
Mean length4.634106
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 36
 
6.0%
충청북도 36
 
6.0%
경상남도 36
 
6.0%
제주특별자치도 36
 
6.0%
세종특별자치시 36
 
6.0%
강원도 36
 
6.0%
인천광역시 36
 
6.0%
충청남도 36
 
6.0%
전라북도 36
 
6.0%
전라남도 36
 
6.0%
Other values (9) 244
40.4%

Length

2023-12-11T12:43:23.655225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 36
 
6.0%
인천광역시 36
 
6.0%
경상북도 36
 
6.0%
충청북도 36
 
6.0%
전라북도 36
 
6.0%
충청남도 36
 
6.0%
전라남도 36
 
6.0%
강원도 36
 
6.0%
세종특별자치시 36
 
6.0%
제주특별자치도 36
 
6.0%
Other values (9) 244
40.4%

대분류
Categorical

Distinct37
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
약용작물류
 
17
과채류
 
17
두류
 
17
잡곡류
 
17
서류
 
17
Other values (32)
519 

Length

Max length9
Median length8
Mean length3.6142384
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row미곡류
4th row두류
5th row잡곡류

Common Values

ValueCountFrequency (%)
약용작물류 17
 
2.8%
과채류 17
 
2.8%
두류 17
 
2.8%
잡곡류 17
 
2.8%
서류 17
 
2.8%
과실류 17
 
2.8%
수실류 17
 
2.8%
과일과채류 17
 
2.8%
버섯류 17
 
2.8%
엽경채류 17
 
2.8%
Other values (27) 434
71.9%

Length

2023-12-11T12:43:23.804392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
약용작물류 17
 
2.8%
인삼류 17
 
2.8%
초화류 17
 
2.8%
난류 17
 
2.8%
선인장/다육식물류 17
 
2.8%
숙근류 17
 
2.8%
구근류 17
 
2.8%
관엽식물류 17
 
2.8%
산림종묘 17
 
2.8%
기타화훼 17
 
2.8%
Other values (27) 434
71.9%

합계
Text

Distinct495
Distinct (%)82.1%
Missing1
Missing (%)0.2%
Memory size4.8 KiB
2023-12-11T12:43:24.237023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length3.3648425
Min length1

Characters and Unicode

Total characters2029
Distinct characters17
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

Unique443 ?
Unique (%)73.5%

Sample

1st row경영체수(건)
2nd row371
3rd row209
4th row102
5th row468
ValueCountFrequency (%)
2 14
 
2.3%
1 9
 
1.5%
4 7
 
1.2%
3 6
 
1.0%
26 5
 
0.8%
6 5
 
0.8%
5 5
 
0.8%
10 4
 
0.7%
59 4
 
0.7%
23 4
 
0.7%
Other values (485) 540
89.6%
2023-12-11T12:43:24.778815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 329
16.2%
2 258
12.7%
3 226
11.1%
6 205
10.1%
4 190
9.4%
9 179
8.8%
7 179
8.8%
5 173
8.5%
0 145
7.1%
8 138
6.8%
Other values (7) 7
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2022
99.7%
Other Letter 5
 
0.2%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 329
16.3%
2 258
12.8%
3 226
11.2%
6 205
10.1%
4 190
9.4%
9 179
8.9%
7 179
8.9%
5 173
8.6%
0 145
7.2%
8 138
6.8%
Other Letter
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2024
99.8%
Hangul 5
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
1 329
16.3%
2 258
12.7%
3 226
11.2%
6 205
10.1%
4 190
9.4%
9 179
8.8%
7 179
8.8%
5 173
8.5%
0 145
7.2%
8 138
6.8%
Other values (2) 2
 
0.1%
Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2024
99.8%
Hangul 5
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 329
16.3%
2 258
12.7%
3 226
11.2%
6 205
10.1%
4 190
9.4%
9 179
8.8%
7 179
8.8%
5 173
8.5%
0 145
7.2%
8 138
6.8%
Other values (2) 2
 
0.1%
Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Distinct603
Distinct (%)100.0%
Missing1
Missing (%)0.2%
Memory size4.8 KiB
2023-12-11T12:43:25.094432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length8.9485904
Min length4

Characters and Unicode

Total characters5396
Distinct characters19
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique603 ?
Unique (%)100.0%

Sample

1st row면적합계(ha)
2nd row147.706769
3rd row11.36355
4th row2.9766
5th row19.294792
ValueCountFrequency (%)
0.04 1
 
0.2%
3523.723442 1
 
0.2%
11621.35513 1
 
0.2%
83.21738 1
 
0.2%
961.253034 1
 
0.2%
86.962514 1
 
0.2%
7876.836496 1
 
0.2%
935.856164 1
 
0.2%
2873.749295 1
 
0.2%
953.382087 1
 
0.2%
Other values (593) 593
98.3%
2023-12-11T12:43:25.550938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 602
11.2%
1 601
11.1%
2 549
10.2%
5 517
9.6%
3 508
9.4%
4 466
8.6%
6 462
8.6%
8 433
8.0%
9 430
8.0%
7 412
7.6%
Other values (9) 416
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4786
88.7%
Other Punctuation 602
 
11.2%
Other Letter 4
 
0.1%
Lowercase Letter 2
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 601
12.6%
2 549
11.5%
5 517
10.8%
3 508
10.6%
4 466
9.7%
6 462
9.7%
8 433
9.0%
9 430
9.0%
7 412
8.6%
0 408
8.5%
Other Letter
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Lowercase Letter
ValueCountFrequency (%)
h 1
50.0%
a 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 602
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5390
99.9%
Hangul 4
 
0.1%
Latin 2
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 602
11.2%
1 601
11.2%
2 549
10.2%
5 517
9.6%
3 508
9.4%
4 466
8.6%
6 462
8.6%
8 433
8.0%
9 430
8.0%
7 412
7.6%
Other values (3) 410
7.6%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Latin
ValueCountFrequency (%)
h 1
50.0%
a 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5392
99.9%
Hangul 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 602
11.2%
1 601
11.1%
2 549
10.2%
5 517
9.6%
3 508
9.4%
4 466
8.6%
6 462
8.6%
8 433
8.0%
9 430
8.0%
7 412
7.6%
Other values (5) 412
7.6%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Distinct457
Distinct (%)75.7%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-11T12:43:25.937492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length3.0562914
Min length1

Characters and Unicode

Total characters1846
Distinct characters22
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique391 ?
Unique (%)64.7%

Sample

1st row0.1ha미만
2nd row경영체수(건)
3rd row14
4th row180
5th row100
ValueCountFrequency (%)
2 13
 
2.2%
1 12
 
2.0%
0 11
 
1.8%
22 7
 
1.2%
6 7
 
1.2%
7 6
 
1.0%
19 6
 
1.0%
10 5
 
0.8%
4 5
 
0.8%
20 5
 
0.8%
Other values (447) 527
87.3%
2023-12-11T12:43:26.485677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 288
15.6%
2 245
13.3%
3 199
10.8%
4 187
10.1%
6 173
9.4%
7 166
9.0%
5 166
9.0%
9 144
7.8%
0 136
7.4%
8 130
7.0%
Other values (12) 12
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1834
99.3%
Other Letter 7
 
0.4%
Lowercase Letter 2
 
0.1%
Close Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 288
15.7%
2 245
13.4%
3 199
10.9%
4 187
10.2%
6 173
9.4%
7 166
9.1%
5 166
9.1%
9 144
7.9%
0 136
7.4%
8 130
7.1%
Other Letter
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
Lowercase Letter
ValueCountFrequency (%)
a 1
50.0%
h 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1837
99.5%
Hangul 7
 
0.4%
Latin 2
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 288
15.7%
2 245
13.3%
3 199
10.8%
4 187
10.2%
6 173
9.4%
7 166
9.0%
5 166
9.0%
9 144
7.8%
0 136
7.4%
8 130
7.1%
Other values (3) 3
 
0.2%
Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
Latin
ValueCountFrequency (%)
a 1
50.0%
h 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1839
99.6%
Hangul 7
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 288
15.7%
2 245
13.3%
3 199
10.8%
4 187
10.2%
6 173
9.4%
7 166
9.0%
5 166
9.0%
9 144
7.8%
0 136
7.4%
8 130
7.1%
Other values (5) 5
 
0.3%
Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
Distinct590
Distinct (%)97.8%
Missing1
Missing (%)0.2%
Memory size4.8 KiB
2023-12-11T12:43:26.812689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length8.0082919
Min length1

Characters and Unicode

Total characters4829
Distinct characters19
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique586 ?
Unique (%)97.2%

Sample

1st row면적합계(ha)
2nd row0.8013
3rd row5.6168
4th row2.6589
5th row14.493372
ValueCountFrequency (%)
0 11
 
1.8%
0.06 2
 
0.3%
0.9944 2
 
0.3%
0.5795 2
 
0.3%
11.01992 1
 
0.2%
464.723906 1
 
0.2%
139.200469 1
 
0.2%
2298.29008 1
 
0.2%
25.91742 1
 
0.2%
5.58894 1
 
0.2%
Other values (580) 580
96.2%
2023-12-11T12:43:27.277853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 591
12.2%
1 543
11.2%
2 485
10.0%
0 454
9.4%
3 428
8.9%
5 423
8.8%
6 421
8.7%
4 385
8.0%
8 378
7.8%
7 378
7.8%
Other values (9) 343
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4230
87.6%
Other Punctuation 591
 
12.2%
Other Letter 4
 
0.1%
Lowercase Letter 2
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 543
12.8%
2 485
11.5%
0 454
10.7%
3 428
10.1%
5 423
10.0%
6 421
10.0%
4 385
9.1%
8 378
8.9%
7 378
8.9%
9 335
7.9%
Other Letter
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Lowercase Letter
ValueCountFrequency (%)
h 1
50.0%
a 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 591
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4823
99.9%
Hangul 4
 
0.1%
Latin 2
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 591
12.3%
1 543
11.3%
2 485
10.1%
0 454
9.4%
3 428
8.9%
5 423
8.8%
6 421
8.7%
4 385
8.0%
8 378
7.8%
7 378
7.8%
Other values (3) 337
7.0%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Latin
ValueCountFrequency (%)
h 1
50.0%
a 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4825
99.9%
Hangul 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 591
12.2%
1 543
11.3%
2 485
10.1%
0 454
9.4%
3 428
8.9%
5 423
8.8%
6 421
8.7%
4 385
8.0%
8 378
7.8%
7 378
7.8%
Other values (5) 339
7.0%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Distinct382
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-11T12:43:27.629893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length2.6821192
Min length1

Characters and Unicode

Total characters1620
Distinct characters19
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

Unique304 ?
Unique (%)50.3%

Sample

1st row0.1~0.2
2nd row경영체수(건)
3rd row65
4th row20
5th row2
ValueCountFrequency (%)
0 35
 
5.8%
1 22
 
3.6%
3 12
 
2.0%
5 10
 
1.7%
6 8
 
1.3%
2 8
 
1.3%
7 8
 
1.3%
8 7
 
1.2%
10 7
 
1.2%
11 6
 
1.0%
Other values (372) 481
79.6%
2023-12-11T12:43:28.105185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 295
18.2%
2 188
11.6%
3 161
9.9%
5 153
9.4%
4 152
9.4%
0 150
9.3%
6 140
8.6%
8 138
8.5%
9 117
 
7.2%
7 116
 
7.2%
Other values (9) 10
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1610
99.4%
Other Letter 5
 
0.3%
Other Punctuation 2
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 295
18.3%
2 188
11.7%
3 161
10.0%
5 153
9.5%
4 152
9.4%
0 150
9.3%
6 140
8.7%
8 138
8.6%
9 117
 
7.3%
7 116
 
7.2%
Other Letter
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1615
99.7%
Hangul 5
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 295
18.3%
2 188
11.6%
3 161
10.0%
5 153
9.5%
4 152
9.4%
0 150
9.3%
6 140
8.7%
8 138
8.5%
9 117
 
7.2%
7 116
 
7.2%
Other values (4) 5
 
0.3%
Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1615
99.7%
Hangul 5
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 295
18.3%
2 188
11.6%
3 161
10.0%
5 153
9.5%
4 152
9.4%
0 150
9.3%
6 140
8.7%
8 138
8.5%
9 117
 
7.2%
7 116
 
7.2%
Other values (4) 5
 
0.3%
Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Distinct569
Distinct (%)94.4%
Missing1
Missing (%)0.2%
Memory size4.8 KiB
2023-12-11T12:43:28.395779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length7.7860697
Min length1

Characters and Unicode

Total characters4695
Distinct characters19
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique568 ?
Unique (%)94.2%

Sample

1st row면적합계(ha)
2nd row10.232102
3rd row2.63005
4th row0.3177
5th row2.87872
ValueCountFrequency (%)
0 35
 
5.8%
192.777055 1
 
0.2%
2182.074043 1
 
0.2%
27.80527 1
 
0.2%
12.789414 1
 
0.2%
2664.641621 1
 
0.2%
78.869728 1
 
0.2%
179.91787 1
 
0.2%
89.865986 1
 
0.2%
383.731952 1
 
0.2%
Other values (559) 559
92.7%
2023-12-11T12:43:28.850357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 567
12.1%
1 545
11.6%
2 474
10.1%
5 446
9.5%
0 413
8.8%
3 392
8.3%
4 378
8.1%
9 371
7.9%
8 370
7.9%
7 368
7.8%
Other values (9) 371
7.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4120
87.8%
Other Punctuation 567
 
12.1%
Other Letter 4
 
0.1%
Lowercase Letter 2
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 545
13.2%
2 474
11.5%
5 446
10.8%
0 413
10.0%
3 392
9.5%
4 378
9.2%
9 371
9.0%
8 370
9.0%
7 368
8.9%
6 363
8.8%
Other Letter
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Lowercase Letter
ValueCountFrequency (%)
h 1
50.0%
a 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 567
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4689
99.9%
Hangul 4
 
0.1%
Latin 2
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 567
12.1%
1 545
11.6%
2 474
10.1%
5 446
9.5%
0 413
8.8%
3 392
8.4%
4 378
8.1%
9 371
7.9%
8 370
7.9%
7 368
7.8%
Other values (3) 365
7.8%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Latin
ValueCountFrequency (%)
h 1
50.0%
a 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4691
99.9%
Hangul 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 567
12.1%
1 545
11.6%
2 474
10.1%
5 446
9.5%
0 413
8.8%
3 392
8.4%
4 378
8.1%
9 371
7.9%
8 370
7.9%
7 368
7.8%
Other values (5) 367
7.8%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Distinct323
Distinct (%)53.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-11T12:43:29.245565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length2.3675497
Min length1

Characters and Unicode

Total characters1430
Distinct characters19
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

Unique252 ?
Unique (%)41.7%

Sample

1st row0.2~0.3
2nd row경영체수(건)
3rd row77
4th row5
5th row0
ValueCountFrequency (%)
0 54
 
8.9%
1 27
 
4.5%
2 22
 
3.6%
4 18
 
3.0%
3 14
 
2.3%
5 11
 
1.8%
6 11
 
1.8%
9 9
 
1.5%
8 7
 
1.2%
7 6
 
1.0%
Other values (313) 425
70.4%
2023-12-11T12:43:29.815466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 238
16.6%
2 195
13.6%
4 161
11.3%
0 147
10.3%
3 146
10.2%
5 123
8.6%
6 121
8.5%
9 116
8.1%
7 92
 
6.4%
8 81
 
5.7%
Other values (9) 10
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1420
99.3%
Other Letter 5
 
0.3%
Other Punctuation 2
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 238
16.8%
2 195
13.7%
4 161
11.3%
0 147
10.4%
3 146
10.3%
5 123
8.7%
6 121
8.5%
9 116
8.2%
7 92
 
6.5%
8 81
 
5.7%
Other Letter
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1425
99.7%
Hangul 5
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 238
16.7%
2 195
13.7%
4 161
11.3%
0 147
10.3%
3 146
10.2%
5 123
8.6%
6 121
8.5%
9 116
8.1%
7 92
 
6.5%
8 81
 
5.7%
Other values (4) 5
 
0.4%
Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1425
99.7%
Hangul 5
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 238
16.7%
2 195
13.7%
4 161
11.3%
0 147
10.3%
3 146
10.2%
5 123
8.6%
6 121
8.5%
9 116
8.1%
7 92
 
6.5%
8 81
 
5.7%
Other values (4) 5
 
0.4%
Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Distinct545
Distinct (%)90.4%
Missing1
Missing (%)0.2%
Memory size4.8 KiB
2023-12-11T12:43:30.187552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length7.3250415
Min length1

Characters and Unicode

Total characters4417
Distinct characters19
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique541 ?
Unique (%)89.7%

Sample

1st row면적합계(ha)
2nd row18.86548
3rd row1.1121
4th row0
5th row1.4327
ValueCountFrequency (%)
0 54
 
9.0%
0.2 4
 
0.7%
1.1183 2
 
0.3%
0.5172 2
 
0.3%
69.094864 1
 
0.2%
0.2132 1
 
0.2%
25.58452 1
 
0.2%
304.63315 1
 
0.2%
8.9535 1
 
0.2%
14.43713 1
 
0.2%
Other values (535) 535
88.7%
2023-12-11T12:43:30.636145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 548
12.4%
1 475
10.8%
2 448
10.1%
5 438
9.9%
4 393
8.9%
3 388
8.8%
0 382
8.6%
8 361
8.2%
6 341
7.7%
7 326
7.4%
Other values (9) 317
7.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3861
87.4%
Other Punctuation 548
 
12.4%
Other Letter 4
 
0.1%
Lowercase Letter 2
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 475
12.3%
2 448
11.6%
5 438
11.3%
4 393
10.2%
3 388
10.0%
0 382
9.9%
8 361
9.3%
6 341
8.8%
7 326
8.4%
9 309
8.0%
Other Letter
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Lowercase Letter
ValueCountFrequency (%)
h 1
50.0%
a 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 548
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4411
99.9%
Hangul 4
 
0.1%
Latin 2
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 548
12.4%
1 475
10.8%
2 448
10.2%
5 438
9.9%
4 393
8.9%
3 388
8.8%
0 382
8.7%
8 361
8.2%
6 341
7.7%
7 326
7.4%
Other values (3) 311
7.1%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Latin
ValueCountFrequency (%)
h 1
50.0%
a 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4413
99.9%
Hangul 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 548
12.4%
1 475
10.8%
2 448
10.2%
5 438
9.9%
4 393
8.9%
3 388
8.8%
0 382
8.7%
8 361
8.2%
6 341
7.7%
7 326
7.4%
Other values (5) 313
7.1%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Distinct306
Distinct (%)50.7%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-11T12:43:31.086658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length2.2996689
Min length1

Characters and Unicode

Total characters1389
Distinct characters19
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

Unique234 ?
Unique (%)38.7%

Sample

1st row0.3~0.5
2nd row경영체수(건)
3rd row138
4th row1
5th row0
ValueCountFrequency (%)
0 63
 
10.4%
1 45
 
7.5%
3 19
 
3.1%
2 16
 
2.6%
4 15
 
2.5%
5 13
 
2.2%
9 8
 
1.3%
7 7
 
1.2%
10 7
 
1.2%
16 6
 
1.0%
Other values (296) 405
67.1%
2023-12-11T12:43:31.696285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 263
18.9%
2 170
12.2%
0 156
11.2%
3 156
11.2%
4 125
9.0%
5 109
7.8%
7 106
7.6%
6 100
 
7.2%
9 98
 
7.1%
8 96
 
6.9%
Other values (9) 10
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1379
99.3%
Other Letter 5
 
0.4%
Other Punctuation 2
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 263
19.1%
2 170
12.3%
0 156
11.3%
3 156
11.3%
4 125
9.1%
5 109
7.9%
7 106
7.7%
6 100
 
7.3%
9 98
 
7.1%
8 96
 
7.0%
Other Letter
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1384
99.6%
Hangul 5
 
0.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 263
19.0%
2 170
12.3%
0 156
11.3%
3 156
11.3%
4 125
9.0%
5 109
7.9%
7 106
7.7%
6 100
 
7.2%
9 98
 
7.1%
8 96
 
6.9%
Other values (4) 5
 
0.4%
Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1384
99.6%
Hangul 5
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 263
19.0%
2 170
12.3%
0 156
11.3%
3 156
11.3%
4 125
9.0%
5 109
7.9%
7 106
7.7%
6 100
 
7.2%
9 98
 
7.1%
8 96
 
6.9%
Other values (4) 5
 
0.4%
Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Distinct537
Distinct (%)89.1%
Missing1
Missing (%)0.2%
Memory size4.8 KiB
2023-12-11T12:43:31.955679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length7.2819237
Min length1

Characters and Unicode

Total characters4391
Distinct characters19
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique533 ?
Unique (%)88.4%

Sample

1st row면적합계(ha)
2nd row53.89831
3rd row0.3159
4th row0
5th row0.49
ValueCountFrequency (%)
0 63
 
10.4%
0.3 3
 
0.5%
0.3002 2
 
0.3%
0.33 2
 
0.3%
8.37264 1
 
0.2%
7825.645586 1
 
0.2%
20446.38941 1
 
0.2%
447.617303 1
 
0.2%
34.68095 1
 
0.2%
384.384976 1
 
0.2%
Other values (527) 527
87.4%
2023-12-11T12:43:32.480736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 539
12.3%
1 487
11.1%
3 432
9.8%
0 417
9.5%
2 410
9.3%
5 385
8.8%
4 375
8.5%
8 371
8.4%
7 329
7.5%
6 321
7.3%
Other values (9) 325
7.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3844
87.5%
Other Punctuation 539
 
12.3%
Other Letter 4
 
0.1%
Lowercase Letter 2
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 487
12.7%
3 432
11.2%
0 417
10.8%
2 410
10.7%
5 385
10.0%
4 375
9.8%
8 371
9.7%
7 329
8.6%
6 321
8.4%
9 317
8.2%
Other Letter
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Lowercase Letter
ValueCountFrequency (%)
h 1
50.0%
a 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 539
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4385
99.9%
Hangul 4
 
0.1%
Latin 2
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 539
12.3%
1 487
11.1%
3 432
9.9%
0 417
9.5%
2 410
9.4%
5 385
8.8%
4 375
8.6%
8 371
8.5%
7 329
7.5%
6 321
7.3%
Other values (3) 319
7.3%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Latin
ValueCountFrequency (%)
h 1
50.0%
a 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4387
99.9%
Hangul 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 539
12.3%
1 487
11.1%
3 432
9.8%
0 417
9.5%
2 410
9.3%
5 385
8.8%
4 375
8.5%
8 371
8.5%
7 329
7.5%
6 321
7.3%
Other values (5) 321
7.3%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Distinct243
Distinct (%)40.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-11T12:43:32.908006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length1.9917219
Min length1

Characters and Unicode

Total characters1203
Distinct characters19
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

Unique181 ?
Unique (%)30.0%

Sample

1st row0.5~0.7
2nd row경영체수(건)
3rd row41
4th row3
5th row0
ValueCountFrequency (%)
0 122
 
20.2%
1 33
 
5.5%
2 29
 
4.8%
3 20
 
3.3%
4 14
 
2.3%
6 13
 
2.2%
5 12
 
2.0%
8 10
 
1.7%
10 9
 
1.5%
21 8
 
1.3%
Other values (233) 334
55.3%
2023-12-11T12:43:33.441777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 206
17.1%
0 201
16.7%
2 157
13.1%
3 120
10.0%
4 95
7.9%
5 93
7.7%
6 87
7.2%
9 84
7.0%
7 81
 
6.7%
8 69
 
5.7%
Other values (9) 10
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1193
99.2%
Other Letter 5
 
0.4%
Other Punctuation 2
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 206
17.3%
0 201
16.8%
2 157
13.2%
3 120
10.1%
4 95
8.0%
5 93
7.8%
6 87
7.3%
9 84
7.0%
7 81
 
6.8%
8 69
 
5.8%
Other Letter
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1198
99.6%
Hangul 5
 
0.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 206
17.2%
0 201
16.8%
2 157
13.1%
3 120
10.0%
4 95
7.9%
5 93
7.8%
6 87
7.3%
9 84
7.0%
7 81
 
6.8%
8 69
 
5.8%
Other values (4) 5
 
0.4%
Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1198
99.6%
Hangul 5
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 206
17.2%
0 201
16.8%
2 157
13.1%
3 120
10.0%
4 95
7.9%
5 93
7.8%
6 87
7.3%
9 84
7.0%
7 81
 
6.8%
8 69
 
5.8%
Other values (4) 5
 
0.4%
Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Distinct481
Distinct (%)79.8%
Missing1
Missing (%)0.2%
Memory size4.8 KiB
2023-12-11T12:43:33.730196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length6.4825871
Min length1

Characters and Unicode

Total characters3909
Distinct characters19
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique479 ?
Unique (%)79.4%

Sample

1st row면적합계(ha)
2nd row23.8982
3rd row1.6887
4th row0
5th row0
ValueCountFrequency (%)
0 122
 
20.2%
0.6244 2
 
0.3%
3.729 1
 
0.2%
23.42036 1
 
0.2%
203.13973 1
 
0.2%
59.94064 1
 
0.2%
407.226185 1
 
0.2%
98.80693 1
 
0.2%
989.090642 1
 
0.2%
254.82992 1
 
0.2%
Other values (471) 471
78.1%
2023-12-11T12:43:34.166222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 480
12.3%
1 460
11.8%
0 385
9.8%
5 378
9.7%
2 369
9.4%
3 331
8.5%
4 329
8.4%
6 316
8.1%
7 296
7.6%
9 284
7.3%
Other values (9) 281
7.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3421
87.5%
Other Punctuation 480
 
12.3%
Other Letter 4
 
0.1%
Lowercase Letter 2
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 460
13.4%
0 385
11.3%
5 378
11.0%
2 369
10.8%
3 331
9.7%
4 329
9.6%
6 316
9.2%
7 296
8.7%
9 284
8.3%
8 273
8.0%
Other Letter
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Lowercase Letter
ValueCountFrequency (%)
h 1
50.0%
a 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 480
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3903
99.8%
Hangul 4
 
0.1%
Latin 2
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 480
12.3%
1 460
11.8%
0 385
9.9%
5 378
9.7%
2 369
9.5%
3 331
8.5%
4 329
8.4%
6 316
8.1%
7 296
7.6%
9 284
7.3%
Other values (3) 275
7.0%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Latin
ValueCountFrequency (%)
h 1
50.0%
a 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3905
99.9%
Hangul 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 480
12.3%
1 460
11.8%
0 385
9.9%
5 378
9.7%
2 369
9.4%
3 331
8.5%
4 329
8.4%
6 316
8.1%
7 296
7.6%
9 284
7.3%
Other values (5) 277
7.1%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Distinct227
Distinct (%)37.6%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-11T12:43:34.568898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length1
Mean length1.8741722
Min length1

Characters and Unicode

Total characters1132
Distinct characters19
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

Unique170 ?
Unique (%)28.1%

Sample

1st row0.7~1.0
2nd row경영체수(건)
3rd row17
4th row0
5th row0
ValueCountFrequency (%)
0 148
24.5%
1 49
 
8.1%
2 27
 
4.5%
3 23
 
3.8%
5 17
 
2.8%
8 12
 
2.0%
6 12
 
2.0%
4 11
 
1.8%
13 9
 
1.5%
7 7
 
1.2%
Other values (217) 289
47.8%
2023-12-11T12:43:35.085518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 214
18.9%
0 203
17.9%
2 138
12.2%
3 125
11.0%
5 87
7.7%
6 82
 
7.2%
4 82
 
7.2%
8 70
 
6.2%
7 61
 
5.4%
9 60
 
5.3%
Other values (9) 10
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1122
99.1%
Other Letter 5
 
0.4%
Other Punctuation 2
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 214
19.1%
0 203
18.1%
2 138
12.3%
3 125
11.1%
5 87
7.8%
6 82
 
7.3%
4 82
 
7.3%
8 70
 
6.2%
7 61
 
5.4%
9 60
 
5.3%
Other Letter
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1127
99.6%
Hangul 5
 
0.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 214
19.0%
0 203
18.0%
2 138
12.2%
3 125
11.1%
5 87
7.7%
6 82
 
7.3%
4 82
 
7.3%
8 70
 
6.2%
7 61
 
5.4%
9 60
 
5.3%
Other values (4) 5
 
0.4%
Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1127
99.6%
Hangul 5
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 214
19.0%
0 203
18.0%
2 138
12.2%
3 125
11.1%
5 87
7.7%
6 82
 
7.3%
4 82
 
7.3%
8 70
 
6.2%
7 61
 
5.4%
9 60
 
5.3%
Other values (4) 5
 
0.4%
Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Distinct454
Distinct (%)75.3%
Missing1
Missing (%)0.2%
Memory size4.8 KiB
2023-12-11T12:43:35.434529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length6.1791045
Min length1

Characters and Unicode

Total characters3726
Distinct characters19
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique451 ?
Unique (%)74.8%

Sample

1st row면적합계(ha)
2nd row14.309
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 148
 
24.5%
0.7 2
 
0.3%
0.7667 2
 
0.3%
6.6534 1
 
0.2%
30.09904 1
 
0.2%
77.773 1
 
0.2%
194.981325 1
 
0.2%
72.132925 1
 
0.2%
551.354402 1
 
0.2%
99.52099 1
 
0.2%
Other values (444) 444
73.6%
2023-12-11T12:43:36.706385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 454
12.2%
0 418
11.2%
1 397
10.7%
3 331
8.9%
2 317
8.5%
5 316
8.5%
7 310
8.3%
6 307
8.2%
4 303
8.1%
9 286
7.7%
Other values (9) 287
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3264
87.6%
Other Punctuation 454
 
12.2%
Other Letter 4
 
0.1%
Lowercase Letter 2
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 418
12.8%
1 397
12.2%
3 331
10.1%
2 317
9.7%
5 316
9.7%
7 310
9.5%
6 307
9.4%
4 303
9.3%
9 286
8.8%
8 279
8.5%
Other Letter
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Lowercase Letter
ValueCountFrequency (%)
h 1
50.0%
a 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 454
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3720
99.8%
Hangul 4
 
0.1%
Latin 2
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 454
12.2%
0 418
11.2%
1 397
10.7%
3 331
8.9%
2 317
8.5%
5 316
8.5%
7 310
8.3%
6 307
8.3%
4 303
8.1%
9 286
7.7%
Other values (3) 281
7.6%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Latin
ValueCountFrequency (%)
h 1
50.0%
a 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3722
99.9%
Hangul 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 454
12.2%
0 418
11.2%
1 397
10.7%
3 331
8.9%
2 317
8.5%
5 316
8.5%
7 310
8.3%
6 307
8.2%
4 303
8.1%
9 286
7.7%
Other values (5) 283
7.6%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Distinct196
Distinct (%)32.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-11T12:43:37.212462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length1
Mean length1.7615894
Min length1

Characters and Unicode

Total characters1064
Distinct characters19
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

Unique145 ?
Unique (%)24.0%

Sample

1st row1.0~1.5
2nd row경영체수(건)
3rd row16
4th row0
5th row0
ValueCountFrequency (%)
0 185
30.6%
1 45
 
7.5%
2 25
 
4.1%
3 22
 
3.6%
4 20
 
3.3%
5 15
 
2.5%
6 14
 
2.3%
7 9
 
1.5%
10 7
 
1.2%
21 6
 
1.0%
Other values (186) 256
42.4%
2023-12-11T12:43:37.915203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 229
21.5%
1 199
18.7%
2 108
10.2%
3 101
9.5%
4 90
 
8.5%
5 89
 
8.4%
7 72
 
6.8%
8 61
 
5.7%
6 59
 
5.5%
9 46
 
4.3%
Other values (9) 10
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1054
99.1%
Other Letter 5
 
0.5%
Other Punctuation 2
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 229
21.7%
1 199
18.9%
2 108
10.2%
3 101
9.6%
4 90
 
8.5%
5 89
 
8.4%
7 72
 
6.8%
8 61
 
5.8%
6 59
 
5.6%
9 46
 
4.4%
Other Letter
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1059
99.5%
Hangul 5
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 229
21.6%
1 199
18.8%
2 108
10.2%
3 101
9.5%
4 90
 
8.5%
5 89
 
8.4%
7 72
 
6.8%
8 61
 
5.8%
6 59
 
5.6%
9 46
 
4.3%
Other values (4) 5
 
0.5%
Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1059
99.5%
Hangul 5
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 229
21.6%
1 199
18.8%
2 108
10.2%
3 101
9.5%
4 90
 
8.5%
5 89
 
8.4%
7 72
 
6.8%
8 61
 
5.8%
6 59
 
5.6%
9 46
 
4.3%
Other values (4) 5
 
0.5%
Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Distinct416
Distinct (%)69.0%
Missing1
Missing (%)0.2%
Memory size4.8 KiB
2023-12-11T12:43:38.227818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length5.7645108
Min length1

Characters and Unicode

Total characters3476
Distinct characters19
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique413 ?
Unique (%)68.5%

Sample

1st row면적합계(ha)
2nd row19.346877
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 185
30.7%
1 3
 
0.5%
3.694 2
 
0.3%
90.70748 1
 
0.2%
52.5546 1
 
0.2%
1.18881 1
 
0.2%
8.73691 1
 
0.2%
91.65686 1
 
0.2%
96.96422 1
 
0.2%
295.43466 1
 
0.2%
Other values (406) 406
67.3%
2023-12-11T12:43:38.956895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 414
11.9%
1 404
11.6%
0 388
11.2%
2 323
9.3%
4 319
9.2%
5 283
8.1%
6 281
8.1%
3 270
7.8%
8 269
7.7%
9 266
7.7%
Other values (9) 259
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3054
87.9%
Other Punctuation 414
 
11.9%
Other Letter 4
 
0.1%
Lowercase Letter 2
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 404
13.2%
0 388
12.7%
2 323
10.6%
4 319
10.4%
5 283
9.3%
6 281
9.2%
3 270
8.8%
8 269
8.8%
9 266
8.7%
7 251
8.2%
Other Letter
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Lowercase Letter
ValueCountFrequency (%)
h 1
50.0%
a 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 414
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3470
99.8%
Hangul 4
 
0.1%
Latin 2
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 414
11.9%
1 404
11.6%
0 388
11.2%
2 323
9.3%
4 319
9.2%
5 283
8.2%
6 281
8.1%
3 270
7.8%
8 269
7.8%
9 266
7.7%
Other values (3) 253
7.3%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Latin
ValueCountFrequency (%)
h 1
50.0%
a 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3472
99.9%
Hangul 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 414
11.9%
1 404
11.6%
0 388
11.2%
2 323
9.3%
4 319
9.2%
5 283
8.2%
6 281
8.1%
3 270
7.8%
8 269
7.7%
9 266
7.7%
Other values (5) 255
7.3%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Distinct158
Distinct (%)26.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-11T12:43:39.338880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length1
Mean length1.5629139
Min length1

Characters and Unicode

Total characters944
Distinct characters19
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

Unique112 ?
Unique (%)18.5%

Sample

1st row1.5~2.0
2nd row경영체수(건)
3rd row2
4th row0
5th row0
ValueCountFrequency (%)
0 247
40.9%
1 51
 
8.4%
2 22
 
3.6%
4 20
 
3.3%
3 16
 
2.6%
7 11
 
1.8%
6 9
 
1.5%
8 7
 
1.2%
5 7
 
1.2%
10 6
 
1.0%
Other values (148) 208
34.4%
2023-12-11T12:43:39.977655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 293
31.0%
1 158
16.7%
3 83
 
8.8%
2 81
 
8.6%
4 70
 
7.4%
6 58
 
6.1%
5 57
 
6.0%
7 47
 
5.0%
8 45
 
4.8%
9 42
 
4.4%
Other values (9) 10
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 934
98.9%
Other Letter 5
 
0.5%
Other Punctuation 2
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 293
31.4%
1 158
16.9%
3 83
 
8.9%
2 81
 
8.7%
4 70
 
7.5%
6 58
 
6.2%
5 57
 
6.1%
7 47
 
5.0%
8 45
 
4.8%
9 42
 
4.5%
Other Letter
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 939
99.5%
Hangul 5
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 293
31.2%
1 158
16.8%
3 83
 
8.8%
2 81
 
8.6%
4 70
 
7.5%
6 58
 
6.2%
5 57
 
6.1%
7 47
 
5.0%
8 45
 
4.8%
9 42
 
4.5%
Other values (4) 5
 
0.5%
Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 939
99.5%
Hangul 5
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 293
31.2%
1 158
16.8%
3 83
 
8.8%
2 81
 
8.6%
4 70
 
7.5%
6 58
 
6.2%
5 57
 
6.1%
7 47
 
5.0%
8 45
 
4.8%
9 42
 
4.5%
Other values (4) 5
 
0.5%
Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Distinct356
Distinct (%)59.0%
Missing1
Missing (%)0.2%
Memory size4.8 KiB
2023-12-11T12:43:40.344565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length5.0082919
Min length1

Characters and Unicode

Total characters3020
Distinct characters19
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique354 ?
Unique (%)58.7%

Sample

1st row면적합계(ha)
2nd row3.2071
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 247
41.0%
1.6935 2
 
0.3%
95.53227 1
 
0.2%
1655.915827 1
 
0.2%
7.03083 1
 
0.2%
295.070612 1
 
0.2%
8.14207 1
 
0.2%
7.11563 1
 
0.2%
5.1807 1
 
0.2%
106.34792 1
 
0.2%
Other values (346) 346
57.4%
2023-12-11T12:43:40.879113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 411
13.6%
1 358
11.9%
. 355
11.8%
3 267
8.8%
5 257
8.5%
2 249
8.2%
8 237
7.8%
6 234
7.7%
4 221
7.3%
9 213
7.1%
Other values (9) 218
7.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2657
88.0%
Other Punctuation 355
 
11.8%
Other Letter 4
 
0.1%
Lowercase Letter 2
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 411
15.5%
1 358
13.5%
3 267
10.0%
5 257
9.7%
2 249
9.4%
8 237
8.9%
6 234
8.8%
4 221
8.3%
9 213
8.0%
7 210
7.9%
Other Letter
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Lowercase Letter
ValueCountFrequency (%)
h 1
50.0%
a 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 355
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3014
99.8%
Hangul 4
 
0.1%
Latin 2
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 411
13.6%
1 358
11.9%
. 355
11.8%
3 267
8.9%
5 257
8.5%
2 249
8.3%
8 237
7.9%
6 234
7.8%
4 221
7.3%
9 213
7.1%
Other values (3) 212
7.0%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Latin
ValueCountFrequency (%)
h 1
50.0%
a 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3016
99.9%
Hangul 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 411
13.6%
1 358
11.9%
. 355
11.8%
3 267
8.9%
5 257
8.5%
2 249
8.3%
8 237
7.9%
6 234
7.8%
4 221
7.3%
9 213
7.1%
Other values (5) 214
7.1%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Distinct123
Distinct (%)20.4%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-11T12:43:41.210766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length1
Mean length1.4437086
Min length1

Characters and Unicode

Total characters872
Distinct characters19
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

Unique72 ?
Unique (%)11.9%

Sample

1st row2.0~2.5
2nd row경영체수(건)
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 286
47.4%
1 51
 
8.4%
2 28
 
4.6%
5 14
 
2.3%
3 13
 
2.2%
4 11
 
1.8%
6 7
 
1.2%
9 7
 
1.2%
15 6
 
1.0%
34 5
 
0.8%
Other values (113) 176
29.1%
2023-12-11T12:43:41.758935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 326
37.4%
1 143
16.4%
2 81
 
9.3%
4 62
 
7.1%
3 60
 
6.9%
5 46
 
5.3%
6 46
 
5.3%
9 39
 
4.5%
8 31
 
3.6%
7 28
 
3.2%
Other values (9) 10
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 862
98.9%
Other Letter 5
 
0.6%
Other Punctuation 2
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 326
37.8%
1 143
16.6%
2 81
 
9.4%
4 62
 
7.2%
3 60
 
7.0%
5 46
 
5.3%
6 46
 
5.3%
9 39
 
4.5%
8 31
 
3.6%
7 28
 
3.2%
Other Letter
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 867
99.4%
Hangul 5
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 326
37.6%
1 143
16.5%
2 81
 
9.3%
4 62
 
7.2%
3 60
 
6.9%
5 46
 
5.3%
6 46
 
5.3%
9 39
 
4.5%
8 31
 
3.6%
7 28
 
3.2%
Other values (4) 5
 
0.6%
Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 867
99.4%
Hangul 5
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 326
37.6%
1 143
16.5%
2 81
 
9.3%
4 62
 
7.2%
3 60
 
6.9%
5 46
 
5.3%
6 46
 
5.3%
9 39
 
4.5%
8 31
 
3.6%
7 28
 
3.2%
Other values (4) 5
 
0.6%
Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Distinct316
Distinct (%)52.4%
Missing1
Missing (%)0.2%
Memory size4.8 KiB
2023-12-11T12:43:42.074147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length4.5489221
Min length1

Characters and Unicode

Total characters2743
Distinct characters19
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique313 ?
Unique (%)51.9%

Sample

1st row면적합계(ha)
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 286
47.4%
2 2
 
0.3%
2.4793 2
 
0.3%
401.763113 1
 
0.2%
101.876225 1
 
0.2%
430.13742 1
 
0.2%
75.82806 1
 
0.2%
288.391235 1
 
0.2%
1434.511278 1
 
0.2%
889.48119 1
 
0.2%
Other values (306) 306
50.7%
2023-12-11T12:43:42.599185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 466
17.0%
. 314
11.4%
1 276
10.1%
2 268
9.8%
4 240
8.7%
3 209
7.6%
8 207
7.5%
5 206
7.5%
7 192
7.0%
9 180
 
6.6%
Other values (9) 185
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2421
88.3%
Other Punctuation 314
 
11.4%
Other Letter 4
 
0.1%
Lowercase Letter 2
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 466
19.2%
1 276
11.4%
2 268
11.1%
4 240
9.9%
3 209
8.6%
8 207
8.6%
5 206
8.5%
7 192
7.9%
9 180
 
7.4%
6 177
 
7.3%
Other Letter
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Lowercase Letter
ValueCountFrequency (%)
h 1
50.0%
a 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 314
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2737
99.8%
Hangul 4
 
0.1%
Latin 2
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 466
17.0%
. 314
11.5%
1 276
10.1%
2 268
9.8%
4 240
8.8%
3 209
7.6%
8 207
7.6%
5 206
7.5%
7 192
7.0%
9 180
 
6.6%
Other values (3) 179
 
6.5%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Latin
ValueCountFrequency (%)
h 1
50.0%
a 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2739
99.9%
Hangul 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 466
17.0%
. 314
11.5%
1 276
10.1%
2 268
9.8%
4 240
8.8%
3 209
7.6%
8 207
7.6%
5 206
7.5%
7 192
7.0%
9 180
 
6.6%
Other values (5) 181
 
6.6%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Distinct108
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-11T12:43:42.927391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length1
Mean length1.365894
Min length1

Characters and Unicode

Total characters825
Distinct characters19
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

Unique70 ?
Unique (%)11.6%

Sample

1st row2.5~3.0
2nd row경영체수(건)
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 327
54.1%
1 52
 
8.6%
2 20
 
3.3%
4 11
 
1.8%
8 11
 
1.8%
5 9
 
1.5%
9 7
 
1.2%
14 6
 
1.0%
3 6
 
1.0%
7 6
 
1.0%
Other values (98) 149
24.7%
2023-12-11T12:43:43.435261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 355
43.0%
1 137
 
16.6%
2 74
 
9.0%
4 46
 
5.6%
5 45
 
5.5%
3 44
 
5.3%
7 37
 
4.5%
8 34
 
4.1%
6 24
 
2.9%
9 19
 
2.3%
Other values (9) 10
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 815
98.8%
Other Letter 5
 
0.6%
Other Punctuation 2
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 355
43.6%
1 137
 
16.8%
2 74
 
9.1%
4 46
 
5.6%
5 45
 
5.5%
3 44
 
5.4%
7 37
 
4.5%
8 34
 
4.2%
6 24
 
2.9%
9 19
 
2.3%
Other Letter
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 820
99.4%
Hangul 5
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 355
43.3%
1 137
 
16.7%
2 74
 
9.0%
4 46
 
5.6%
5 45
 
5.5%
3 44
 
5.4%
7 37
 
4.5%
8 34
 
4.1%
6 24
 
2.9%
9 19
 
2.3%
Other values (4) 5
 
0.6%
Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 820
99.4%
Hangul 5
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 355
43.3%
1 137
 
16.7%
2 74
 
9.0%
4 46
 
5.6%
5 45
 
5.5%
3 44
 
5.4%
7 37
 
4.5%
8 34
 
4.1%
6 24
 
2.9%
9 19
 
2.3%
Other values (4) 5
 
0.6%
Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Distinct275
Distinct (%)45.6%
Missing1
Missing (%)0.2%
Memory size4.8 KiB
2023-12-11T12:43:43.800058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length1
Mean length4.0878939
Min length1

Characters and Unicode

Total characters2465
Distinct characters19
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique273 ?
Unique (%)45.3%

Sample

1st row면적합계(ha)
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 327
54.2%
2.64 3
 
0.5%
30.2726 1
 
0.2%
10.6431 1
 
0.2%
149.66652 1
 
0.2%
57.45632 1
 
0.2%
45.9694 1
 
0.2%
376.70439 1
 
0.2%
126.14535 1
 
0.2%
65.44134 1
 
0.2%
Other values (265) 265
43.9%
2023-12-11T12:43:44.330638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 461
18.7%
. 275
11.2%
2 241
9.8%
1 232
9.4%
5 212
8.6%
3 180
 
7.3%
4 180
 
7.3%
6 174
 
7.1%
7 172
 
7.0%
9 165
 
6.7%
Other values (9) 173
 
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2182
88.5%
Other Punctuation 275
 
11.2%
Other Letter 4
 
0.2%
Lowercase Letter 2
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 461
21.1%
2 241
11.0%
1 232
10.6%
5 212
9.7%
3 180
 
8.2%
4 180
 
8.2%
6 174
 
8.0%
7 172
 
7.9%
9 165
 
7.6%
8 165
 
7.6%
Other Letter
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Lowercase Letter
ValueCountFrequency (%)
h 1
50.0%
a 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 275
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2459
99.8%
Hangul 4
 
0.2%
Latin 2
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 461
18.7%
. 275
11.2%
2 241
9.8%
1 232
9.4%
5 212
8.6%
3 180
 
7.3%
4 180
 
7.3%
6 174
 
7.1%
7 172
 
7.0%
9 165
 
6.7%
Other values (3) 167
 
6.8%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Latin
ValueCountFrequency (%)
h 1
50.0%
a 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2461
99.8%
Hangul 4
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 461
18.7%
. 275
11.2%
2 241
9.8%
1 232
9.4%
5 212
8.6%
3 180
 
7.3%
4 180
 
7.3%
6 174
 
7.1%
7 172
 
7.0%
9 165
 
6.7%
Other values (5) 169
 
6.9%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Distinct122
Distinct (%)20.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-11T12:43:44.700881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length1
Mean length1.4254967
Min length1

Characters and Unicode

Total characters861
Distinct characters19
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

Unique81 ?
Unique (%)13.4%

Sample

1st row3.0~5.0
2nd row경영체수(건)
3rd row1
4th row0
5th row0
ValueCountFrequency (%)
0 312
51.7%
1 46
 
7.6%
2 24
 
4.0%
6 11
 
1.8%
5 11
 
1.8%
3 9
 
1.5%
4 8
 
1.3%
14 7
 
1.2%
16 7
 
1.2%
11 5
 
0.8%
Other values (112) 164
27.2%
2023-12-11T12:43:45.150455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 339
39.4%
1 137
15.9%
2 87
 
10.1%
3 51
 
5.9%
6 48
 
5.6%
4 48
 
5.6%
5 43
 
5.0%
7 39
 
4.5%
8 32
 
3.7%
9 27
 
3.1%
Other values (9) 10
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 851
98.8%
Other Letter 5
 
0.6%
Other Punctuation 2
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 339
39.8%
1 137
16.1%
2 87
 
10.2%
3 51
 
6.0%
6 48
 
5.6%
4 48
 
5.6%
5 43
 
5.1%
7 39
 
4.6%
8 32
 
3.8%
9 27
 
3.2%
Other Letter
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 856
99.4%
Hangul 5
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 339
39.6%
1 137
16.0%
2 87
 
10.2%
3 51
 
6.0%
6 48
 
5.6%
4 48
 
5.6%
5 43
 
5.0%
7 39
 
4.6%
8 32
 
3.7%
9 27
 
3.2%
Other values (4) 5
 
0.6%
Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 856
99.4%
Hangul 5
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 339
39.6%
1 137
16.0%
2 87
 
10.2%
3 51
 
6.0%
6 48
 
5.6%
4 48
 
5.6%
5 43
 
5.0%
7 39
 
4.6%
8 32
 
3.7%
9 27
 
3.2%
Other values (4) 5
 
0.6%
Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Distinct290
Distinct (%)48.1%
Missing1
Missing (%)0.2%
Memory size4.8 KiB
2023-12-11T12:43:45.518120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length1
Mean length4.3631841
Min length1

Characters and Unicode

Total characters2631
Distinct characters19
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique287 ?
Unique (%)47.6%

Sample

1st row면적합계(ha)
2nd row3.1484
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 312
51.7%
4 2
 
0.3%
3.3 2
 
0.3%
19.7366 1
 
0.2%
145.27166 1
 
0.2%
293.07965 1
 
0.2%
936.71571 1
 
0.2%
980.83601 1
 
0.2%
7.2062 1
 
0.2%
142.86846 1
 
0.2%
Other values (280) 280
46.4%
2023-12-11T12:43:45.997316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 465
17.7%
. 288
10.9%
3 259
9.8%
1 237
9.0%
5 235
8.9%
2 215
8.2%
6 209
7.9%
4 190
7.2%
9 179
 
6.8%
7 173
 
6.6%
Other values (9) 181
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2335
88.7%
Other Punctuation 288
 
10.9%
Other Letter 4
 
0.2%
Lowercase Letter 2
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 465
19.9%
3 259
11.1%
1 237
10.1%
5 235
10.1%
2 215
9.2%
6 209
9.0%
4 190
8.1%
9 179
 
7.7%
7 173
 
7.4%
8 173
 
7.4%
Other Letter
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Lowercase Letter
ValueCountFrequency (%)
h 1
50.0%
a 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 288
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2625
99.8%
Hangul 4
 
0.2%
Latin 2
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 465
17.7%
. 288
11.0%
3 259
9.9%
1 237
9.0%
5 235
9.0%
2 215
8.2%
6 209
8.0%
4 190
7.2%
9 179
 
6.8%
7 173
 
6.6%
Other values (3) 175
 
6.7%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Latin
ValueCountFrequency (%)
h 1
50.0%
a 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2627
99.8%
Hangul 4
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 465
17.7%
. 288
11.0%
3 259
9.9%
1 237
9.0%
5 235
8.9%
2 215
8.2%
6 209
8.0%
4 190
7.2%
9 179
 
6.8%
7 173
 
6.6%
Other values (5) 177
 
6.7%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Distinct70
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-11T12:43:46.194942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length1
Mean length1.25
Min length1

Characters and Unicode

Total characters755
Distinct characters19
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

Unique42 ?
Unique (%)7.0%

Sample

1st row5.0~7.0
2nd row경영체수(건)
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 377
62.4%
1 46
 
7.6%
2 20
 
3.3%
3 14
 
2.3%
4 10
 
1.7%
10 9
 
1.5%
9 7
 
1.2%
6 7
 
1.2%
7 7
 
1.2%
8 7
 
1.2%
Other values (60) 100
 
16.6%
2023-12-11T12:43:46.546758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 401
53.1%
1 110
 
14.6%
2 51
 
6.8%
3 41
 
5.4%
4 38
 
5.0%
5 25
 
3.3%
7 23
 
3.0%
9 22
 
2.9%
6 20
 
2.6%
8 14
 
1.9%
Other values (9) 10
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 745
98.7%
Other Letter 5
 
0.7%
Other Punctuation 2
 
0.3%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 401
53.8%
1 110
 
14.8%
2 51
 
6.8%
3 41
 
5.5%
4 38
 
5.1%
5 25
 
3.4%
7 23
 
3.1%
9 22
 
3.0%
6 20
 
2.7%
8 14
 
1.9%
Other Letter
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 750
99.3%
Hangul 5
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 401
53.5%
1 110
 
14.7%
2 51
 
6.8%
3 41
 
5.5%
4 38
 
5.1%
5 25
 
3.3%
7 23
 
3.1%
9 22
 
2.9%
6 20
 
2.7%
8 14
 
1.9%
Other values (4) 5
 
0.7%
Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 750
99.3%
Hangul 5
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 401
53.5%
1 110
 
14.7%
2 51
 
6.8%
3 41
 
5.5%
4 38
 
5.1%
5 25
 
3.3%
7 23
 
3.1%
9 22
 
2.9%
6 20
 
2.7%
8 14
 
1.9%
Other values (4) 5
 
0.7%
Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Distinct227
Distinct (%)37.6%
Missing1
Missing (%)0.2%
Memory size4.8 KiB
2023-12-11T12:43:46.839996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length1
Mean length3.5472637
Min length1

Characters and Unicode

Total characters2139
Distinct characters19
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique226 ?
Unique (%)37.5%

Sample

1st row면적합계(ha)
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 377
62.5%
5.6316 1
 
0.2%
58.7785 1
 
0.2%
33.862 1
 
0.2%
299.04288 1
 
0.2%
64.8647 1
 
0.2%
23.734455 1
 
0.2%
11.3335 1
 
0.2%
174.97773 1
 
0.2%
52.37464 1
 
0.2%
Other values (217) 217
36.0%
2023-12-11T12:43:47.302314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 495
23.1%
. 222
10.4%
1 214
10.0%
5 179
 
8.4%
2 173
 
8.1%
8 164
 
7.7%
3 161
 
7.5%
4 143
 
6.7%
9 132
 
6.2%
6 124
 
5.8%
Other values (9) 132
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1909
89.2%
Other Punctuation 222
 
10.4%
Other Letter 4
 
0.2%
Lowercase Letter 2
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 495
25.9%
1 214
11.2%
5 179
 
9.4%
2 173
 
9.1%
8 164
 
8.6%
3 161
 
8.4%
4 143
 
7.5%
9 132
 
6.9%
6 124
 
6.5%
7 124
 
6.5%
Other Letter
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Lowercase Letter
ValueCountFrequency (%)
h 1
50.0%
a 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 222
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2133
99.7%
Hangul 4
 
0.2%
Latin 2
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 495
23.2%
. 222
10.4%
1 214
10.0%
5 179
 
8.4%
2 173
 
8.1%
8 164
 
7.7%
3 161
 
7.5%
4 143
 
6.7%
9 132
 
6.2%
6 124
 
5.8%
Other values (3) 126
 
5.9%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Latin
ValueCountFrequency (%)
h 1
50.0%
a 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2135
99.8%
Hangul 4
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 495
23.2%
. 222
10.4%
1 214
10.0%
5 179
 
8.4%
2 173
 
8.1%
8 164
 
7.7%
3 161
 
7.5%
4 143
 
6.7%
9 132
 
6.2%
6 124
 
5.8%
Other values (5) 128
 
6.0%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Distinct59
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-11T12:43:47.501632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length1
Mean length1.1688742
Min length1

Characters and Unicode

Total characters706
Distinct characters19
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

Unique39 ?
Unique (%)6.5%

Sample

1st row7.0~10.0
2nd row경영체수(건)
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 425
70.4%
1 38
 
6.3%
2 18
 
3.0%
5 12
 
2.0%
3 12
 
2.0%
6 11
 
1.8%
4 9
 
1.5%
7 6
 
1.0%
8 6
 
1.0%
9 5
 
0.8%
Other values (49) 62
 
10.3%
2023-12-11T12:43:47.883093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 439
62.2%
1 81
 
11.5%
2 42
 
5.9%
3 28
 
4.0%
6 23
 
3.3%
5 20
 
2.8%
4 19
 
2.7%
7 16
 
2.3%
9 15
 
2.1%
8 13
 
1.8%
Other values (9) 10
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 696
98.6%
Other Letter 5
 
0.7%
Other Punctuation 2
 
0.3%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 439
63.1%
1 81
 
11.6%
2 42
 
6.0%
3 28
 
4.0%
6 23
 
3.3%
5 20
 
2.9%
4 19
 
2.7%
7 16
 
2.3%
9 15
 
2.2%
8 13
 
1.9%
Other Letter
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 701
99.3%
Hangul 5
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 439
62.6%
1 81
 
11.6%
2 42
 
6.0%
3 28
 
4.0%
6 23
 
3.3%
5 20
 
2.9%
4 19
 
2.7%
7 16
 
2.3%
9 15
 
2.1%
8 13
 
1.9%
Other values (4) 5
 
0.7%
Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 701
99.3%
Hangul 5
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 439
62.6%
1 81
 
11.6%
2 42
 
6.0%
3 28
 
4.0%
6 23
 
3.3%
5 20
 
2.9%
4 19
 
2.7%
7 16
 
2.3%
9 15
 
2.1%
8 13
 
1.9%
Other values (4) 5
 
0.7%
Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Distinct177
Distinct (%)29.4%
Missing1
Missing (%)0.2%
Memory size4.8 KiB
2023-12-11T12:43:48.179698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length1
Mean length3.0049751
Min length1

Characters and Unicode

Total characters1812
Distinct characters19
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique174 ?
Unique (%)28.9%

Sample

1st row면적합계(ha)
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 425
70.5%
7.6656 2
 
0.3%
860.699768 2
 
0.3%
7.2825 1
 
0.2%
64.68081 1
 
0.2%
370.7912 1
 
0.2%
17.1541 1
 
0.2%
47.682214 1
 
0.2%
39.5657 1
 
0.2%
169.31182 1
 
0.2%
Other values (167) 167
 
27.7%
2023-12-11T12:43:48.548726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 507
28.0%
. 176
 
9.7%
1 148
 
8.2%
7 133
 
7.3%
6 132
 
7.3%
4 129
 
7.1%
8 129
 
7.1%
2 123
 
6.8%
3 119
 
6.6%
5 109
 
6.0%
Other values (9) 107
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1628
89.8%
Other Punctuation 176
 
9.7%
Other Letter 4
 
0.2%
Lowercase Letter 2
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 507
31.1%
1 148
 
9.1%
7 133
 
8.2%
6 132
 
8.1%
4 129
 
7.9%
8 129
 
7.9%
2 123
 
7.6%
3 119
 
7.3%
5 109
 
6.7%
9 99
 
6.1%
Other Letter
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Lowercase Letter
ValueCountFrequency (%)
h 1
50.0%
a 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 176
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1806
99.7%
Hangul 4
 
0.2%
Latin 2
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 507
28.1%
. 176
 
9.7%
1 148
 
8.2%
7 133
 
7.4%
6 132
 
7.3%
4 129
 
7.1%
8 129
 
7.1%
2 123
 
6.8%
3 119
 
6.6%
5 109
 
6.0%
Other values (3) 101
 
5.6%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Latin
ValueCountFrequency (%)
h 1
50.0%
a 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1808
99.8%
Hangul 4
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 507
28.0%
. 176
 
9.7%
1 148
 
8.2%
7 133
 
7.4%
6 132
 
7.3%
4 129
 
7.1%
8 129
 
7.1%
2 123
 
6.8%
3 119
 
6.6%
5 109
 
6.0%
Other values (5) 103
 
5.7%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Distinct54
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-11T12:43:48.715253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length1
Mean length1.1539735
Min length1

Characters and Unicode

Total characters697
Distinct characters23
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)6.0%

Sample

1st row10.0ha 이상
2nd row경영체수(건)
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 446
73.7%
1 37
 
6.1%
2 22
 
3.6%
5 12
 
2.0%
4 9
 
1.5%
3 6
 
1.0%
7 6
 
1.0%
6 6
 
1.0%
8 4
 
0.7%
18 3
 
0.5%
Other values (45) 54
 
8.9%
2023-12-11T12:43:49.028114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 457
65.6%
1 74
 
10.6%
2 45
 
6.5%
5 25
 
3.6%
4 19
 
2.7%
6 16
 
2.3%
3 15
 
2.2%
8 12
 
1.7%
7 11
 
1.6%
9 10
 
1.4%
Other values (13) 13
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 684
98.1%
Other Letter 7
 
1.0%
Lowercase Letter 2
 
0.3%
Close Punctuation 1
 
0.1%
Space Separator 1
 
0.1%
Other Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 457
66.8%
1 74
 
10.8%
2 45
 
6.6%
5 25
 
3.7%
4 19
 
2.8%
6 16
 
2.3%
3 15
 
2.2%
8 12
 
1.8%
7 11
 
1.6%
9 10
 
1.5%
Other Letter
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
Lowercase Letter
ValueCountFrequency (%)
a 1
50.0%
h 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 688
98.7%
Hangul 7
 
1.0%
Latin 2
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 457
66.4%
1 74
 
10.8%
2 45
 
6.5%
5 25
 
3.6%
4 19
 
2.8%
6 16
 
2.3%
3 15
 
2.2%
8 12
 
1.7%
7 11
 
1.6%
9 10
 
1.5%
Other values (4) 4
 
0.6%
Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
Latin
ValueCountFrequency (%)
a 1
50.0%
h 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 690
99.0%
Hangul 7
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 457
66.2%
1 74
 
10.7%
2 45
 
6.5%
5 25
 
3.6%
4 19
 
2.8%
6 16
 
2.3%
3 15
 
2.2%
8 12
 
1.7%
7 11
 
1.6%
9 10
 
1.4%
Other values (6) 6
 
0.9%
Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
Distinct155
Distinct (%)25.7%
Missing1
Missing (%)0.2%
Memory size4.8 KiB
2023-12-11T12:43:49.248182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length1
Mean length2.8640133
Min length1

Characters and Unicode

Total characters1727
Distinct characters19
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique151 ?
Unique (%)25.0%

Sample

1st row면적합계(ha)
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 446
74.0%
14.2 2
 
0.3%
30.0659 2
 
0.3%
10.9505 2
 
0.3%
22.20783 1
 
0.2%
8419.000391 1
 
0.2%
15.7587 1
 
0.2%
83.25964 1
 
0.2%
43.654 1
 
0.2%
98.62212 1
 
0.2%
Other values (145) 145
 
24.0%
2023-12-11T12:43:49.601665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 553
32.0%
. 154
 
8.9%
1 153
 
8.9%
2 126
 
7.3%
5 120
 
6.9%
3 114
 
6.6%
4 106
 
6.1%
8 105
 
6.1%
9 103
 
6.0%
7 99
 
5.7%
Other values (9) 94
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1565
90.6%
Other Punctuation 154
 
8.9%
Other Letter 4
 
0.2%
Lowercase Letter 2
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 553
35.3%
1 153
 
9.8%
2 126
 
8.1%
5 120
 
7.7%
3 114
 
7.3%
4 106
 
6.8%
8 105
 
6.7%
9 103
 
6.6%
7 99
 
6.3%
6 86
 
5.5%
Other Letter
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Lowercase Letter
ValueCountFrequency (%)
h 1
50.0%
a 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 154
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1721
99.7%
Hangul 4
 
0.2%
Latin 2
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 553
32.1%
. 154
 
8.9%
1 153
 
8.9%
2 126
 
7.3%
5 120
 
7.0%
3 114
 
6.6%
4 106
 
6.2%
8 105
 
6.1%
9 103
 
6.0%
7 99
 
5.8%
Other values (3) 88
 
5.1%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Latin
ValueCountFrequency (%)
h 1
50.0%
a 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1723
99.8%
Hangul 4
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 553
32.1%
. 154
 
8.9%
1 153
 
8.9%
2 126
 
7.3%
5 120
 
7.0%
3 114
 
6.6%
4 106
 
6.2%
8 105
 
6.1%
9 103
 
6.0%
7 99
 
5.7%
Other values (5) 90
 
5.2%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

Sample

시도대분류합계Unnamed: 3재배면적(ha)재배면적(ha).1재배면적(ha).2재배면적(ha).3재배면적(ha).4재배면적(ha).5재배면적(ha).6재배면적(ha).7재배면적(ha).8재배면적(ha).9재배면적(ha).10재배면적(ha).11재배면적(ha).12재배면적(ha).13재배면적(ha).14재배면적(ha).15재배면적(ha).16재배면적(ha).17재배면적(ha).18재배면적(ha).19재배면적(ha).20재배면적(ha).21재배면적(ha).22재배면적(ha).23재배면적(ha).24재배면적(ha).25재배면적(ha).26재배면적(ha).27
0<NA><NA><NA><NA>0.1ha미만<NA>0.1~0.2<NA>0.2~0.3<NA>0.3~0.5<NA>0.5~0.7<NA>0.7~1.0<NA>1.0~1.5<NA>1.5~2.0<NA>2.0~2.5<NA>2.5~3.0<NA>3.0~5.0<NA>5.0~7.0<NA>7.0~10.0<NA>10.0ha 이상<NA>
1<NA><NA>경영체수(건)면적합계(ha)경영체수(건)면적합계(ha)경영체수(건)면적합계(ha)경영체수(건)면적합계(ha)경영체수(건)면적합계(ha)경영체수(건)면적합계(ha)경영체수(건)면적합계(ha)경영체수(건)면적합계(ha)경영체수(건)면적합계(ha)경영체수(건)면적합계(ha)경영체수(건)면적합계(ha)경영체수(건)면적합계(ha)경영체수(건)면적합계(ha)경영체수(건)면적합계(ha)경영체수(건)면적합계(ha)
2서울특별시미곡류371147.706769140.80136510.2321027718.8654813853.898314123.89821714.3091619.34687723.2071000013.1484000000
3서울특별시두류20911.363551805.6168202.6300551.112110.315931.6887000000000000000000
4서울특별시잡곡류1022.97661002.658920.3177000000000000000000000000
5서울특별시서류46819.29479243714.493372242.8787261.432710.4900000000000000000000
6서울특별시과실류48155.3818731713.38768310313.92769327.583165.57607753.109932.5562233.519311.9082000013.8138000000
7서울특별시수실류1057.65946762.40015202.5929151.164830.998310.5033000000000000000000
8서울특별시과일과채류1666.5013181493.02376891.1951551.227231.055200000000000000000000
9서울특별시과채류2929.90972706.41075182.5276530.67110.300300000000000000000000
시도대분류합계Unnamed: 3재배면적(ha)재배면적(ha).1재배면적(ha).2재배면적(ha).3재배면적(ha).4재배면적(ha).5재배면적(ha).6재배면적(ha).7재배면적(ha).8재배면적(ha).9재배면적(ha).10재배면적(ha).11재배면적(ha).12재배면적(ha).13재배면적(ha).14재배면적(ha).15재배면적(ha).16재배면적(ha).17재배면적(ha).18재배면적(ha).19재배면적(ha).20재배면적(ha).21재배면적(ha).22재배면적(ha).23재배면적(ha).24재배면적(ha).25재배면적(ha).26재배면적(ha).27
594제주특별자치도기타화훼21153.588201853.568835446.3986287.009463269.787995.235441311.161144.8477000025.57916300000000
595제주특별자치도산림종묘254.8197130.486550.67310.26330.97880032.41840000000000000000
596제주특별자치도수목류344.4098200.777350.694140.907752.030700000000000000000000
597제주특별자치도관상수류1373716.61563532316.48824529542.5360219748.4744223389.59639053.497986857.750136577.27424170.262251942.210641130.27261766.64535742.0045323.016456.587
598제주특별자치도조경수368149.080521045.623227610.94584912.024256525.456553017.56071310.42921517.357434.905511.337812.64517.885515.632617.282500
599제주특별자치도조경재20.3910.06000010.3300000000000000000000
600제주특별자치도조사료9474094.346745221.60058512.986749323.106214356.01768852.4449858975.353667994.89959102.091753169.336253081.355372277.5944427157.830337317.15702922772.573
601제주특별자치도사료_목초종자20.555610.0885000010.467100000000000000000000
602제주특별자치도소계8551248203.7216211631583.657615156742332.76189130443239.250571170336609.32588493205511.45510677156426.62195459517191.34000923984118.469610922420.816375751560.4669926812532.66736159928.0216493780.114571463968.75206
603총계<NA>46365251523693.061213771386146.76505919376130046.7808463149113419.5052448982172051.7279203045119638.7659160765134005.2512125196151906.26659704102918.73913317173831.757652076556790.1599837580142861.9441347778803.19843771863615.5367588497656.66294