Overview

Dataset statistics

Number of variables30
Number of observations69
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.4 KiB
Average record size in memory242.9 B

Variable types

Categorical2
Text27
Numeric1

Dataset

Description송파구 연령별인구현황 데이터입니다. 송파구 연령별 인구 현황 데이터로 동별 및 남녀별 인구 수 등을 제공하고 있습니다.
URLhttps://www.data.go.kr/data/15052392/fileData.do

Alerts

잠실7동 has 4 (5.8%) zerosZeros

Reproduction

Analysis started2023-12-12 19:02:19.635441
Analysis finished2023-12-12 19:02:20.208117
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연령
Categorical

Distinct23
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
0세 ~ 4세
 
3
5세 ~ 9세
 
3
10세 ~ 14세
 
3
15세 ~ 19세
 
3
20세 ~ 24세
 
3
Other values (18)
54 

Length

Max length11
Median length9
Mean length8.9130435
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0세 ~ 4세
2nd row0세 ~ 4세
3rd row0세 ~ 4세
4th row5세 ~ 9세
5th row5세 ~ 9세

Common Values

ValueCountFrequency (%)
0세 ~ 4세 3
 
4.3%
5세 ~ 9세 3
 
4.3%
10세 ~ 14세 3
 
4.3%
15세 ~ 19세 3
 
4.3%
20세 ~ 24세 3
 
4.3%
25세 ~ 29세 3
 
4.3%
30세 ~ 34세 3
 
4.3%
35세 ~ 39세 3
 
4.3%
40세 ~ 44세 3
 
4.3%
45세 ~ 49세 3
 
4.3%
Other values (13) 39
56.5%

Length

2023-12-13T04:02:20.284524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
66
32.4%
59세 3
 
1.5%
60세 3
 
1.5%
64세 3
 
1.5%
65세 3
 
1.5%
69세 3
 
1.5%
70세 3
 
1.5%
74세 3
 
1.5%
75세 3
 
1.5%
79세 3
 
1.5%
Other values (37) 111
54.4%

성별
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
23 
23 
23 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
23
33.3%
23
33.3%
23
33.3%

Length

2023-12-13T04:02:20.412046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:02:20.517679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
23
33.3%
23
33.3%
23
33.3%
Distinct66
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-13T04:02:20.742076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.0724638
Min length1

Characters and Unicode

Total characters350
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)91.3%

Sample

1st row18,276
2nd row9,467
3rd row8,809
4th row26,496
5th row13,685
ValueCountFrequency (%)
3 2
 
2.9%
0 2
 
2.9%
10 2
 
2.9%
16 1
 
1.4%
48,875 1
 
1.4%
22,444 1
 
1.4%
9,447 1
 
1.4%
21,907 1
 
1.4%
8,921 1
 
1.4%
18,368 1
 
1.4%
Other values (56) 56
81.2%
2023-12-13T04:02:21.113177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 56
16.0%
2 39
11.1%
4 36
10.3%
0 34
9.7%
1 33
9.4%
3 29
8.3%
6 28
8.0%
5 26
7.4%
7 23
6.6%
8 23
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 294
84.0%
Other Punctuation 56
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 39
13.3%
4 36
12.2%
0 34
11.6%
1 33
11.2%
3 29
9.9%
6 28
9.5%
5 26
8.8%
7 23
7.8%
8 23
7.8%
9 23
7.8%
Other Punctuation
ValueCountFrequency (%)
, 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 350
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
, 56
16.0%
2 39
11.1%
4 36
10.3%
0 34
9.7%
1 33
9.4%
3 29
8.3%
6 28
8.0%
5 26
7.4%
7 23
6.6%
8 23
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 350
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 56
16.0%
2 39
11.1%
4 36
10.3%
0 34
9.7%
1 33
9.4%
3 29
8.3%
6 28
8.0%
5 26
7.4%
7 23
6.6%
8 23
6.6%
Distinct62
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-13T04:02:21.339583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.6811594
Min length1

Characters and Unicode

Total characters185
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)87.0%

Sample

1st row284
2nd row162
3rd row122
4th row282
5th row154
ValueCountFrequency (%)
0 7
 
10.1%
1 2
 
2.9%
351 1
 
1.4%
7 1
 
1.4%
232 1
 
1.4%
978 1
 
1.4%
469 1
 
1.4%
509 1
 
1.4%
1,269 1
 
1.4%
580 1
 
1.4%
Other values (52) 52
75.4%
2023-12-13T04:02:21.702888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 30
16.2%
2 23
12.4%
4 22
11.9%
0 21
11.4%
5 20
10.8%
8 19
10.3%
9 15
8.1%
3 15
8.1%
6 10
 
5.4%
7 7
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 182
98.4%
Other Punctuation 3
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 30
16.5%
2 23
12.6%
4 22
12.1%
0 21
11.5%
5 20
11.0%
8 19
10.4%
9 15
8.2%
3 15
8.2%
6 10
 
5.5%
7 7
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 185
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 30
16.2%
2 23
12.4%
4 22
11.9%
0 21
11.4%
5 20
10.8%
8 19
10.3%
9 15
8.1%
3 15
8.1%
6 10
 
5.4%
7 7
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 185
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 30
16.2%
2 23
12.4%
4 22
11.9%
0 21
11.4%
5 20
10.8%
8 19
10.3%
9 15
8.1%
3 15
8.1%
6 10
 
5.4%
7 7
 
3.8%
Distinct59
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-13T04:02:21.919453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.0869565
Min length1

Characters and Unicode

Total characters213
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)79.7%

Sample

1st row738
2nd row364
3rd row374
4th row892
5th row468
ValueCountFrequency (%)
1 5
 
7.2%
0 4
 
5.8%
468 3
 
4.3%
738 2
 
2.9%
541 1
 
1.4%
352 1
 
1.4%
892 1
 
1.4%
447 1
 
1.4%
1,728 1
 
1.4%
785 1
 
1.4%
Other values (49) 49
71.0%
2023-12-13T04:02:22.383769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 34
16.0%
8 26
12.2%
0 21
9.9%
4 21
9.9%
3 21
9.9%
7 20
9.4%
2 18
8.5%
, 16
7.5%
6 14
6.6%
9 12
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 197
92.5%
Other Punctuation 16
 
7.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 34
17.3%
8 26
13.2%
0 21
10.7%
4 21
10.7%
3 21
10.7%
7 20
10.2%
2 18
9.1%
6 14
7.1%
9 12
 
6.1%
5 10
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 213
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 34
16.0%
8 26
12.2%
0 21
9.9%
4 21
9.9%
3 21
9.9%
7 20
9.4%
2 18
8.5%
, 16
7.5%
6 14
6.6%
9 12
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 213
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 34
16.0%
8 26
12.2%
0 21
9.9%
4 21
9.9%
3 21
9.9%
7 20
9.4%
2 18
8.5%
, 16
7.5%
6 14
6.6%
9 12
 
5.6%
Distinct62
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-13T04:02:22.676221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.6811594
Min length1

Characters and Unicode

Total characters185
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)85.5%

Sample

1st row231
2nd row131
3rd row100
4th row262
5th row139
ValueCountFrequency (%)
0 6
 
8.7%
1 2
 
2.9%
483 2
 
2.9%
3 1
 
1.4%
303 1
 
1.4%
561 1
 
1.4%
236 1
 
1.4%
247 1
 
1.4%
1,030 1
 
1.4%
519 1
 
1.4%
Other values (52) 52
75.4%
2023-12-13T04:02:23.122424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 30
16.2%
1 29
15.7%
0 19
10.3%
4 19
10.3%
2 18
9.7%
9 15
8.1%
5 15
8.1%
8 14
7.6%
6 13
7.0%
7 10
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 182
98.4%
Other Punctuation 3
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 30
16.5%
1 29
15.9%
0 19
10.4%
4 19
10.4%
2 18
9.9%
9 15
8.2%
5 15
8.2%
8 14
7.7%
6 13
7.1%
7 10
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 185
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 30
16.2%
1 29
15.7%
0 19
10.3%
4 19
10.3%
2 18
9.7%
9 15
8.1%
5 15
8.1%
8 14
7.6%
6 13
7.0%
7 10
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 185
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 30
16.2%
1 29
15.7%
0 19
10.3%
4 19
10.3%
2 18
9.7%
9 15
8.1%
5 15
8.1%
8 14
7.6%
6 13
7.0%
7 10
 
5.4%
Distinct61
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-13T04:02:23.410745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.0289855
Min length1

Characters and Unicode

Total characters209
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)82.6%

Sample

1st row841
2nd row436
3rd row405
4th row1,014
5th row518
ValueCountFrequency (%)
0 5
 
7.2%
3 3
 
4.3%
1 2
 
2.9%
413 2
 
2.9%
848 1
 
1.4%
869 1
 
1.4%
743 1
 
1.4%
1,612 1
 
1.4%
1,016 1
 
1.4%
899 1
 
1.4%
Other values (51) 51
73.9%
2023-12-13T04:02:23.955411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 36
17.2%
9 23
11.0%
8 23
11.0%
0 21
10.0%
3 21
10.0%
4 21
10.0%
6 14
 
6.7%
, 14
 
6.7%
7 13
 
6.2%
5 13
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 195
93.3%
Other Punctuation 14
 
6.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 36
18.5%
9 23
11.8%
8 23
11.8%
0 21
10.8%
3 21
10.8%
4 21
10.8%
6 14
 
7.2%
7 13
 
6.7%
5 13
 
6.7%
2 10
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 209
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 36
17.2%
9 23
11.0%
8 23
11.0%
0 21
10.0%
3 21
10.0%
4 21
10.0%
6 14
 
6.7%
, 14
 
6.7%
7 13
 
6.2%
5 13
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 209
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 36
17.2%
9 23
11.0%
8 23
11.0%
0 21
10.0%
3 21
10.0%
4 21
10.0%
6 14
 
6.7%
, 14
 
6.7%
7 13
 
6.2%
5 13
 
6.2%
Distinct60
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-13T04:02:24.190350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.884058
Min length1

Characters and Unicode

Total characters199
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)81.2%

Sample

1st row297
2nd row164
3rd row133
4th row423
5th row207
ValueCountFrequency (%)
0 7
 
10.1%
19 2
 
2.9%
609 2
 
2.9%
1 2
 
2.9%
14 1
 
1.4%
1,650 1
 
1.4%
809 1
 
1.4%
863 1
 
1.4%
787 1
 
1.4%
1,829 1
 
1.4%
Other values (50) 50
72.5%
2023-12-13T04:02:24.623271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 27
13.6%
0 26
13.1%
9 24
12.1%
2 18
9.0%
6 17
8.5%
3 17
8.5%
5 17
8.5%
7 15
7.5%
8 15
7.5%
4 14
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 190
95.5%
Other Punctuation 9
 
4.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 27
14.2%
0 26
13.7%
9 24
12.6%
2 18
9.5%
6 17
8.9%
3 17
8.9%
5 17
8.9%
7 15
7.9%
8 15
7.9%
4 14
7.4%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 199
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 27
13.6%
0 26
13.1%
9 24
12.1%
2 18
9.0%
6 17
8.5%
3 17
8.5%
5 17
8.5%
7 15
7.5%
8 15
7.5%
4 14
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 199
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 27
13.6%
0 26
13.1%
9 24
12.1%
2 18
9.0%
6 17
8.5%
3 17
8.5%
5 17
8.5%
7 15
7.5%
8 15
7.5%
4 14
7.0%
Distinct62
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-13T04:02:24.899537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.9565217
Min length1

Characters and Unicode

Total characters204
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)87.0%

Sample

1st row257
2nd row130
3rd row127
4th row352
5th row180
ValueCountFrequency (%)
0 7
 
10.1%
4 2
 
2.9%
546 1
 
1.4%
12 1
 
1.4%
341 1
 
1.4%
1,629 1
 
1.4%
824 1
 
1.4%
805 1
 
1.4%
2,032 1
 
1.4%
1,023 1
 
1.4%
Other values (52) 52
75.4%
2023-12-13T04:02:25.332228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 29
14.2%
2 28
13.7%
4 26
12.7%
0 23
11.3%
5 19
9.3%
6 18
8.8%
7 14
6.9%
9 14
6.9%
8 12
5.9%
, 11
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 193
94.6%
Other Punctuation 11
 
5.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 29
15.0%
2 28
14.5%
4 26
13.5%
0 23
11.9%
5 19
9.8%
6 18
9.3%
7 14
7.3%
9 14
7.3%
8 12
6.2%
3 10
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 204
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 29
14.2%
2 28
13.7%
4 26
12.7%
0 23
11.3%
5 19
9.3%
6 18
8.8%
7 14
6.9%
9 14
6.9%
8 12
5.9%
, 11
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 204
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 29
14.2%
2 28
13.7%
4 26
12.7%
0 23
11.3%
5 19
9.3%
6 18
8.8%
7 14
6.9%
9 14
6.9%
8 12
5.9%
, 11
 
5.4%
Distinct57
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-13T04:02:25.941278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.826087
Min length1

Characters and Unicode

Total characters195
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)71.0%

Sample

1st row338
2nd row163
3rd row175
4th row578
5th row294
ValueCountFrequency (%)
0 5
 
7.2%
2 3
 
4.3%
587 2
 
2.9%
1,183 2
 
2.9%
747 2
 
2.9%
605 2
 
2.9%
578 2
 
2.9%
3 2
 
2.9%
929 1
 
1.4%
314 1
 
1.4%
Other values (47) 47
68.1%
2023-12-13T04:02:26.423502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 33
16.9%
3 22
11.3%
6 22
11.3%
7 20
10.3%
2 19
9.7%
5 16
8.2%
8 16
8.2%
4 15
7.7%
0 13
 
6.7%
9 11
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 187
95.9%
Other Punctuation 8
 
4.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 33
17.6%
3 22
11.8%
6 22
11.8%
7 20
10.7%
2 19
10.2%
5 16
8.6%
8 16
8.6%
4 15
8.0%
0 13
 
7.0%
9 11
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 195
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 33
16.9%
3 22
11.3%
6 22
11.3%
7 20
10.3%
2 19
9.7%
5 16
8.2%
8 16
8.2%
4 15
7.7%
0 13
 
6.7%
9 11
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 195
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 33
16.9%
3 22
11.3%
6 22
11.3%
7 20
10.3%
2 19
9.7%
5 16
8.2%
8 16
8.2%
4 15
7.7%
0 13
 
6.7%
9 11
 
5.6%
Distinct62
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-13T04:02:26.724447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.1304348
Min length1

Characters and Unicode

Total characters216
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)87.0%

Sample

1st row496
2nd row256
3rd row240
4th row486
5th row277
ValueCountFrequency (%)
0 7
 
10.1%
3 2
 
2.9%
499 1
 
1.4%
9 1
 
1.4%
318 1
 
1.4%
1,634 1
 
1.4%
729 1
 
1.4%
905 1
 
1.4%
1,754 1
 
1.4%
792 1
 
1.4%
Other values (52) 52
75.4%
2023-12-13T04:02:27.219002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 28
13.0%
1 25
11.6%
9 23
10.6%
0 21
9.7%
3 19
8.8%
8 18
8.3%
4 18
8.3%
, 18
8.3%
7 17
7.9%
6 15
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 198
91.7%
Other Punctuation 18
 
8.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 28
14.1%
1 25
12.6%
9 23
11.6%
0 21
10.6%
3 19
9.6%
8 18
9.1%
4 18
9.1%
7 17
8.6%
6 15
7.6%
5 14
7.1%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 216
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 28
13.0%
1 25
11.6%
9 23
10.6%
0 21
9.7%
3 19
8.8%
8 18
8.3%
4 18
8.3%
, 18
8.3%
7 17
7.9%
6 15
6.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 216
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 28
13.0%
1 25
11.6%
9 23
10.6%
0 21
9.7%
3 19
8.8%
8 18
8.3%
4 18
8.3%
, 18
8.3%
7 17
7.9%
6 15
6.9%
Distinct62
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-13T04:02:27.524437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.8695652
Min length1

Characters and Unicode

Total characters198
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)85.5%

Sample

1st row291
2nd row160
3rd row131
4th row782
5th row409
ValueCountFrequency (%)
0 6
 
8.7%
3 2
 
2.9%
18 2
 
2.9%
1 1
 
1.4%
890 1
 
1.4%
831 1
 
1.4%
428 1
 
1.4%
506 1
 
1.4%
1,419 1
 
1.4%
696 1
 
1.4%
Other values (52) 52
75.4%
2023-12-13T04:02:28.013570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 27
13.6%
2 22
11.1%
3 21
10.6%
0 19
9.6%
4 19
9.6%
8 18
9.1%
6 18
9.1%
7 17
8.6%
9 16
8.1%
5 12
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 189
95.5%
Other Punctuation 9
 
4.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 27
14.3%
2 22
11.6%
3 21
11.1%
0 19
10.1%
4 19
10.1%
8 18
9.5%
6 18
9.5%
7 17
9.0%
9 16
8.5%
5 12
6.3%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 198
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 27
13.6%
2 22
11.1%
3 21
10.6%
0 19
9.6%
4 19
9.6%
8 18
9.1%
6 18
9.1%
7 17
8.6%
9 16
8.1%
5 12
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 198
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 27
13.6%
2 22
11.1%
3 21
10.6%
0 19
9.6%
4 19
9.6%
8 18
9.1%
6 18
9.1%
7 17
8.6%
9 16
8.1%
5 12
6.1%
Distinct62
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-13T04:02:28.258508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length3.7101449
Min length1

Characters and Unicode

Total characters256
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)85.5%

Sample

1st row957
2nd row489
3rd row468
4th row1,416
5th row741
ValueCountFrequency (%)
0 6
 
8.7%
36 2
 
2.9%
1,313 2
 
2.9%
3 1
 
1.4%
899 1
 
1.4%
3,248 1
 
1.4%
563 1
 
1.4%
572 1
 
1.4%
1,490 1
 
1.4%
1,758 1
 
1.4%
Other values (52) 52
75.4%
2023-12-13T04:02:28.735939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 47
18.4%
, 35
13.7%
3 28
10.9%
2 28
10.9%
7 21
8.2%
6 18
 
7.0%
4 18
 
7.0%
8 17
 
6.6%
5 16
 
6.2%
0 15
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 221
86.3%
Other Punctuation 35
 
13.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 47
21.3%
3 28
12.7%
2 28
12.7%
7 21
9.5%
6 18
 
8.1%
4 18
 
8.1%
8 17
 
7.7%
5 16
 
7.2%
0 15
 
6.8%
9 13
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 256
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 47
18.4%
, 35
13.7%
3 28
10.9%
2 28
10.9%
7 21
8.2%
6 18
 
7.0%
4 18
 
7.0%
8 17
 
6.6%
5 16
 
6.2%
0 15
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 256
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 47
18.4%
, 35
13.7%
3 28
10.9%
2 28
10.9%
7 21
8.2%
6 18
 
7.0%
4 18
 
7.0%
8 17
 
6.6%
5 16
 
6.2%
0 15
 
5.9%
Distinct61
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-13T04:02:28.996836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.115942
Min length1

Characters and Unicode

Total characters215
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)85.5%

Sample

1st row456
2nd row222
3rd row234
4th row531
5th row287
ValueCountFrequency (%)
0 7
 
10.1%
2 3
 
4.3%
13 1
 
1.4%
973 1
 
1.4%
928 1
 
1.4%
527 1
 
1.4%
610 1
 
1.4%
1,528 1
 
1.4%
681 1
 
1.4%
847 1
 
1.4%
Other values (51) 51
73.9%
2023-12-13T04:02:29.528774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 32
14.9%
2 29
13.5%
0 23
10.7%
7 20
9.3%
8 17
7.9%
5 17
7.9%
, 17
7.9%
6 16
7.4%
3 16
7.4%
4 15
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 198
92.1%
Other Punctuation 17
 
7.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 32
16.2%
2 29
14.6%
0 23
11.6%
7 20
10.1%
8 17
8.6%
5 17
8.6%
6 16
8.1%
3 16
8.1%
4 15
7.6%
9 13
6.6%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 215
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 32
14.9%
2 29
13.5%
0 23
10.7%
7 20
9.3%
8 17
7.9%
5 17
7.9%
, 17
7.9%
6 16
7.4%
3 16
7.4%
4 15
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 215
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 32
14.9%
2 29
13.5%
0 23
10.7%
7 20
9.3%
8 17
7.9%
5 17
7.9%
, 17
7.9%
6 16
7.4%
3 16
7.4%
4 15
7.0%
Distinct61
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-13T04:02:29.777054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.8985507
Min length1

Characters and Unicode

Total characters200
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)84.1%

Sample

1st row504
2nd row264
3rd row240
4th row807
5th row429
ValueCountFrequency (%)
0 7
 
10.1%
1 2
 
2.9%
692 2
 
2.9%
3 1
 
1.4%
16 1
 
1.4%
500 1
 
1.4%
271 1
 
1.4%
1,424 1
 
1.4%
686 1
 
1.4%
738 1
 
1.4%
Other values (51) 51
73.9%
2023-12-13T04:02:30.280042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 31
15.5%
2 23
11.5%
4 22
11.0%
0 21
10.5%
7 20
10.0%
6 18
9.0%
5 16
8.0%
3 15
7.5%
9 12
 
6.0%
8 12
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 190
95.0%
Other Punctuation 10
 
5.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 31
16.3%
2 23
12.1%
4 22
11.6%
0 21
11.1%
7 20
10.5%
6 18
9.5%
5 16
8.4%
3 15
7.9%
9 12
 
6.3%
8 12
 
6.3%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 200
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 31
15.5%
2 23
11.5%
4 22
11.0%
0 21
10.5%
7 20
10.0%
6 18
9.0%
5 16
8.0%
3 15
7.5%
9 12
 
6.0%
8 12
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 31
15.5%
2 23
11.5%
4 22
11.0%
0 21
10.5%
7 20
10.0%
6 18
9.0%
5 16
8.0%
3 15
7.5%
9 12
 
6.0%
8 12
 
6.0%
Distinct61
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-13T04:02:30.540618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.4492754
Min length1

Characters and Unicode

Total characters238
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)84.1%

Sample

1st row636
2nd row320
3rd row316
4th row655
5th row325
ValueCountFrequency (%)
0 5
 
7.2%
1 4
 
5.8%
1,075 2
 
2.9%
635 1
 
1.4%
887 1
 
1.4%
395 1
 
1.4%
2,077 1
 
1.4%
1,002 1
 
1.4%
2,236 1
 
1.4%
1,066 1
 
1.4%
Other values (51) 51
73.9%
2023-12-13T04:02:30.908055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 41
17.2%
, 28
11.8%
2 26
10.9%
0 24
10.1%
3 24
10.1%
5 22
9.2%
8 18
7.6%
6 17
7.1%
7 14
 
5.9%
9 13
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210
88.2%
Other Punctuation 28
 
11.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 41
19.5%
2 26
12.4%
0 24
11.4%
3 24
11.4%
5 22
10.5%
8 18
8.6%
6 17
8.1%
7 14
 
6.7%
9 13
 
6.2%
4 11
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 238
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 41
17.2%
, 28
11.8%
2 26
10.9%
0 24
10.1%
3 24
10.1%
5 22
9.2%
8 18
7.6%
6 17
7.1%
7 14
 
5.9%
9 13
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 238
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 41
17.2%
, 28
11.8%
2 26
10.9%
0 24
10.1%
3 24
10.1%
5 22
9.2%
8 18
7.6%
6 17
7.1%
7 14
 
5.9%
9 13
 
5.5%
Distinct62
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-13T04:02:31.127094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.3478261
Min length1

Characters and Unicode

Total characters231
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)87.0%

Sample

1st row508
2nd row267
3rd row241
4th row620
5th row309
ValueCountFrequency (%)
0 7
 
10.1%
4 2
 
2.9%
597 1
 
1.4%
22 1
 
1.4%
360 1
 
1.4%
1,879 1
 
1.4%
873 1
 
1.4%
1,006 1
 
1.4%
2,079 1
 
1.4%
920 1
 
1.4%
Other values (52) 52
75.4%
2023-12-13T04:02:31.544060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 36
15.6%
2 26
11.3%
, 25
10.8%
0 23
10.0%
7 20
8.7%
3 19
8.2%
9 19
8.2%
4 18
7.8%
8 16
6.9%
6 15
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 206
89.2%
Other Punctuation 25
 
10.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 36
17.5%
2 26
12.6%
0 23
11.2%
7 20
9.7%
3 19
9.2%
9 19
9.2%
4 18
8.7%
8 16
7.8%
6 15
7.3%
5 14
 
6.8%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 231
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 36
15.6%
2 26
11.3%
, 25
10.8%
0 23
10.0%
7 20
8.7%
3 19
8.2%
9 19
8.2%
4 18
7.8%
8 16
6.9%
6 15
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 231
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 36
15.6%
2 26
11.3%
, 25
10.8%
0 23
10.0%
7 20
8.7%
3 19
8.2%
9 19
8.2%
4 18
7.8%
8 16
6.9%
6 15
6.5%
Distinct62
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-13T04:02:31.809757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.2898551
Min length1

Characters and Unicode

Total characters227
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)87.0%

Sample

1st row680
2nd row342
3rd row338
4th row720
5th row375
ValueCountFrequency (%)
0 5
 
7.2%
1 4
 
5.8%
520 1
 
1.4%
12 1
 
1.4%
334 1
 
1.4%
2,074 1
 
1.4%
980 1
 
1.4%
1,094 1
 
1.4%
2,291 1
 
1.4%
1,118 1
 
1.4%
Other values (52) 52
75.4%
2023-12-13T04:02:32.270373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 42
18.5%
0 25
11.0%
2 23
10.1%
, 23
10.1%
3 22
9.7%
6 17
7.5%
4 17
7.5%
8 17
7.5%
9 16
 
7.0%
7 14
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 204
89.9%
Other Punctuation 23
 
10.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 42
20.6%
0 25
12.3%
2 23
11.3%
3 22
10.8%
6 17
8.3%
4 17
8.3%
8 17
8.3%
9 16
 
7.8%
7 14
 
6.9%
5 11
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 227
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 42
18.5%
0 25
11.0%
2 23
10.1%
, 23
10.1%
3 22
9.7%
6 17
7.5%
4 17
7.5%
8 17
7.5%
9 16
 
7.0%
7 14
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 227
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 42
18.5%
0 25
11.0%
2 23
10.1%
, 23
10.1%
3 22
9.7%
6 17
7.5%
4 17
7.5%
8 17
7.5%
9 16
 
7.0%
7 14
 
6.2%
Distinct60
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-13T04:02:32.537306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.3333333
Min length1

Characters and Unicode

Total characters230
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)81.2%

Sample

1st row1,331
2nd row699
3rd row632
4th row1,703
5th row903
ValueCountFrequency (%)
0 7
 
10.1%
903 2
 
2.9%
792 2
 
2.9%
2 2
 
2.9%
3 1
 
1.4%
12 1
 
1.4%
798 1
 
1.4%
611 1
 
1.4%
541 1
 
1.4%
572 1
 
1.4%
Other values (50) 50
72.5%
2023-12-13T04:02:32.978756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 47
20.4%
0 29
12.6%
, 25
10.9%
2 22
9.6%
9 20
8.7%
3 18
 
7.8%
5 18
 
7.8%
7 16
 
7.0%
4 13
 
5.7%
8 12
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 205
89.1%
Other Punctuation 25
 
10.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 47
22.9%
0 29
14.1%
2 22
10.7%
9 20
9.8%
3 18
 
8.8%
5 18
 
8.8%
7 16
 
7.8%
4 13
 
6.3%
8 12
 
5.9%
6 10
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 230
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 47
20.4%
0 29
12.6%
, 25
10.9%
2 22
9.6%
9 20
8.7%
3 18
 
7.8%
5 18
 
7.8%
7 16
 
7.0%
4 13
 
5.7%
8 12
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 230
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 47
20.4%
0 29
12.6%
, 25
10.9%
2 22
9.6%
9 20
8.7%
3 18
 
7.8%
5 18
 
7.8%
7 16
 
7.0%
4 13
 
5.7%
8 12
 
5.2%
Distinct64
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-13T04:02:33.281030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.5217391
Min length1

Characters and Unicode

Total characters243
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)89.9%

Sample

1st row751
2nd row386
3rd row365
4th row1,320
5th row692
ValueCountFrequency (%)
0 4
 
5.8%
1 3
 
4.3%
339 1
 
1.4%
385 1
 
1.4%
1,083 1
 
1.4%
1,186 1
 
1.4%
2,451 1
 
1.4%
1,146 1
 
1.4%
1,305 1
 
1.4%
1,930 1
 
1.4%
Other values (54) 54
78.3%
2023-12-13T04:02:33.748103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 39
16.0%
2 36
14.8%
, 31
12.8%
3 23
9.5%
9 20
8.2%
5 19
7.8%
6 19
7.8%
7 17
7.0%
0 16
6.6%
4 12
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 212
87.2%
Other Punctuation 31
 
12.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 39
18.4%
2 36
17.0%
3 23
10.8%
9 20
9.4%
5 19
9.0%
6 19
9.0%
7 17
8.0%
0 16
7.5%
4 12
 
5.7%
8 11
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 243
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 39
16.0%
2 36
14.8%
, 31
12.8%
3 23
9.5%
9 20
8.2%
5 19
7.8%
6 19
7.8%
7 17
7.0%
0 16
6.6%
4 12
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 243
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 39
16.0%
2 36
14.8%
, 31
12.8%
3 23
9.5%
9 20
8.2%
5 19
7.8%
6 19
7.8%
7 17
7.0%
0 16
6.6%
4 12
 
4.9%
Distinct60
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-13T04:02:34.012703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.884058
Min length1

Characters and Unicode

Total characters199
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)81.2%

Sample

1st row485
2nd row266
3rd row219
4th row615
5th row303
ValueCountFrequency (%)
0 7
 
10.1%
303 2
 
2.9%
46 2
 
2.9%
4 2
 
2.9%
8 1
 
1.4%
854 1
 
1.4%
383 1
 
1.4%
1,520 1
 
1.4%
699 1
 
1.4%
821 1
 
1.4%
Other values (50) 50
72.5%
2023-12-13T04:02:34.411639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 32
16.1%
5 22
11.1%
3 21
10.6%
8 20
10.1%
6 19
9.5%
0 18
9.0%
4 17
8.5%
2 14
7.0%
7 14
7.0%
9 12
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 189
95.0%
Other Punctuation 10
 
5.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 32
16.9%
5 22
11.6%
3 21
11.1%
8 20
10.6%
6 19
10.1%
0 18
9.5%
4 17
9.0%
2 14
7.4%
7 14
7.4%
9 12
 
6.3%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 199
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 32
16.1%
5 22
11.1%
3 21
10.6%
8 20
10.1%
6 19
9.5%
0 18
9.0%
4 17
8.5%
2 14
7.0%
7 14
7.0%
9 12
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 199
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 32
16.1%
5 22
11.1%
3 21
10.6%
8 20
10.1%
6 19
9.5%
0 18
9.0%
4 17
8.5%
2 14
7.0%
7 14
7.0%
9 12
 
6.0%
Distinct62
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-13T04:02:34.696522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.2028986
Min length1

Characters and Unicode

Total characters221
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)85.5%

Sample

1st row658
2nd row322
3rd row336
4th row803
5th row406
ValueCountFrequency (%)
0 6
 
8.7%
2 2
 
2.9%
119 2
 
2.9%
13 1
 
1.4%
1,093 1
 
1.4%
976 1
 
1.4%
539 1
 
1.4%
734 1
 
1.4%
1,597 1
 
1.4%
789 1
 
1.4%
Other values (52) 52
75.4%
2023-12-13T04:02:35.111201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 29
13.1%
3 29
13.1%
8 23
10.4%
7 23
10.4%
2 20
9.0%
4 19
8.6%
, 19
8.6%
0 16
7.2%
9 16
7.2%
5 14
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 202
91.4%
Other Punctuation 19
 
8.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 29
14.4%
3 29
14.4%
8 23
11.4%
7 23
11.4%
2 20
9.9%
4 19
9.4%
0 16
7.9%
9 16
7.9%
5 14
6.9%
6 13
6.4%
Other Punctuation
ValueCountFrequency (%)
, 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 221
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 29
13.1%
3 29
13.1%
8 23
10.4%
7 23
10.4%
2 20
9.0%
4 19
8.6%
, 19
8.6%
0 16
7.2%
9 16
7.2%
5 14
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 221
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 29
13.1%
3 29
13.1%
8 23
10.4%
7 23
10.4%
2 20
9.0%
4 19
8.6%
, 19
8.6%
0 16
7.2%
9 16
7.2%
5 14
6.3%
Distinct63
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-13T04:02:35.371800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.5072464
Min length1

Characters and Unicode

Total characters242
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)87.0%

Sample

1st row943
2nd row452
3rd row491
4th row1,104
5th row565
ValueCountFrequency (%)
0 5
 
7.2%
1 2
 
2.9%
5 2
 
2.9%
33 1
 
1.4%
641 1
 
1.4%
2,315 1
 
1.4%
354 1
 
1.4%
1,031 1
 
1.4%
1,284 1
 
1.4%
2,357 1
 
1.4%
Other values (53) 53
76.8%
2023-12-13T04:02:35.791960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 57
23.6%
, 30
12.4%
2 26
10.7%
5 23
9.5%
0 20
 
8.3%
3 20
 
8.3%
9 16
 
6.6%
7 15
 
6.2%
8 14
 
5.8%
4 14
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 212
87.6%
Other Punctuation 30
 
12.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 57
26.9%
2 26
12.3%
5 23
10.8%
0 20
 
9.4%
3 20
 
9.4%
9 16
 
7.5%
7 15
 
7.1%
8 14
 
6.6%
4 14
 
6.6%
6 7
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 242
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 57
23.6%
, 30
12.4%
2 26
10.7%
5 23
9.5%
0 20
 
8.3%
3 20
 
8.3%
9 16
 
6.6%
7 15
 
6.2%
8 14
 
5.8%
4 14
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 242
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 57
23.6%
, 30
12.4%
2 26
10.7%
5 23
9.5%
0 20
 
8.3%
3 20
 
8.3%
9 16
 
6.6%
7 15
 
6.2%
8 14
 
5.8%
4 14
 
5.8%
Distinct61
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-13T04:02:36.079254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length3.7536232
Min length1

Characters and Unicode

Total characters259
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)82.6%

Sample

1st row2,933
2nd row1,563
3rd row1,370
4th row3,653
5th row1,856
ValueCountFrequency (%)
0 5
 
7.2%
1 3
 
4.3%
4 2
 
2.9%
1,642 2
 
2.9%
1,017 1
 
1.4%
909 1
 
1.4%
868 1
 
1.4%
705 1
 
1.4%
1,573 1
 
1.4%
1,093 1
 
1.4%
Other values (51) 51
73.9%
2023-12-13T04:02:36.598095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 46
17.8%
, 39
15.1%
2 31
12.0%
0 23
8.9%
4 22
8.5%
3 20
7.7%
5 20
7.7%
7 18
 
6.9%
8 16
 
6.2%
9 13
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 220
84.9%
Other Punctuation 39
 
15.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 46
20.9%
2 31
14.1%
0 23
10.5%
4 22
10.0%
3 20
9.1%
5 20
9.1%
7 18
 
8.2%
8 16
 
7.3%
9 13
 
5.9%
6 11
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 259
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 46
17.8%
, 39
15.1%
2 31
12.0%
0 23
8.9%
4 22
8.5%
3 20
7.7%
5 20
7.7%
7 18
 
6.9%
8 16
 
6.2%
9 13
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 259
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 46
17.8%
, 39
15.1%
2 31
12.0%
0 23
8.9%
4 22
8.5%
3 20
7.7%
5 20
7.7%
7 18
 
6.9%
8 16
 
6.2%
9 13
 
5.0%
Distinct60
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-13T04:02:36.914646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.2463768
Min length1

Characters and Unicode

Total characters224
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)78.3%

Sample

1st row493
2nd row269
3rd row224
4th row530
5th row265
ValueCountFrequency (%)
0 4
 
5.8%
1 3
 
4.3%
865 2
 
2.9%
530 2
 
2.9%
265 2
 
2.9%
17 2
 
2.9%
913 1
 
1.4%
954 1
 
1.4%
1,948 1
 
1.4%
377 1
 
1.4%
Other values (50) 50
72.5%
2023-12-13T04:02:37.435351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 34
15.2%
3 25
11.2%
2 23
10.3%
, 22
9.8%
9 21
9.4%
4 18
8.0%
6 17
7.6%
5 17
7.6%
8 16
7.1%
7 16
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 202
90.2%
Other Punctuation 22
 
9.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 34
16.8%
3 25
12.4%
2 23
11.4%
9 21
10.4%
4 18
8.9%
6 17
8.4%
5 17
8.4%
8 16
7.9%
7 16
7.9%
0 15
7.4%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 224
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 34
15.2%
3 25
11.2%
2 23
10.3%
, 22
9.8%
9 21
9.4%
4 18
8.0%
6 17
7.6%
5 17
7.6%
8 16
7.1%
7 16
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 224
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 34
15.2%
3 25
11.2%
2 23
10.3%
, 22
9.8%
9 21
9.4%
4 18
8.0%
6 17
7.6%
5 17
7.6%
8 16
7.1%
7 16
7.1%
Distinct62
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-13T04:02:37.724638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.4637681
Min length1

Characters and Unicode

Total characters239
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)87.0%

Sample

1st row950
2nd row508
3rd row442
4th row2,428
5th row1,272
ValueCountFrequency (%)
0 7
 
10.1%
2 2
 
2.9%
601 1
 
1.4%
10 1
 
1.4%
368 1
 
1.4%
1,929 1
 
1.4%
1,060 1
 
1.4%
869 1
 
1.4%
1,552 1
 
1.4%
746 1
 
1.4%
Other values (52) 52
75.4%
2023-12-13T04:02:38.194173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 38
15.9%
, 29
12.1%
0 25
10.5%
2 24
10.0%
9 22
9.2%
8 20
8.4%
6 20
8.4%
4 18
7.5%
7 16
6.7%
5 14
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210
87.9%
Other Punctuation 29
 
12.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 38
18.1%
0 25
11.9%
2 24
11.4%
9 22
10.5%
8 20
9.5%
6 20
9.5%
4 18
8.6%
7 16
7.6%
5 14
 
6.7%
3 13
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 38
15.9%
, 29
12.1%
0 25
10.5%
2 24
10.0%
9 22
9.2%
8 20
8.4%
6 20
8.4%
4 18
7.5%
7 16
6.7%
5 14
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 38
15.9%
, 29
12.1%
0 25
10.5%
2 24
10.0%
9 22
9.2%
8 20
8.4%
6 20
8.4%
4 18
7.5%
7 16
6.7%
5 14
 
5.9%
Distinct60
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-13T04:02:38.469726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.5217391
Min length1

Characters and Unicode

Total characters243
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)81.2%

Sample

1st row842
2nd row426
3rd row416
4th row1,776
5th row903
ValueCountFrequency (%)
0 7
 
10.1%
1,712 2
 
2.9%
938 2
 
2.9%
2 2
 
2.9%
4 1
 
1.4%
23 1
 
1.4%
594 1
 
1.4%
1,194 1
 
1.4%
1,170 1
 
1.4%
2,418 1
 
1.4%
Other values (50) 50
72.5%
2023-12-13T04:02:38.960400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 43
17.7%
, 30
12.3%
0 27
11.1%
2 25
10.3%
4 21
8.6%
9 20
8.2%
8 20
8.2%
7 18
7.4%
3 17
 
7.0%
6 13
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 213
87.7%
Other Punctuation 30
 
12.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 43
20.2%
0 27
12.7%
2 25
11.7%
4 21
9.9%
9 20
9.4%
8 20
9.4%
7 18
8.5%
3 17
 
8.0%
6 13
 
6.1%
5 9
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 243
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 43
17.7%
, 30
12.3%
0 27
11.1%
2 25
10.3%
4 21
8.6%
9 20
8.2%
8 20
8.2%
7 18
7.4%
3 17
 
7.0%
6 13
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 243
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 43
17.7%
, 30
12.3%
0 27
11.1%
2 25
10.3%
4 21
8.6%
9 20
8.2%
8 20
8.2%
7 18
7.4%
3 17
 
7.0%
6 13
 
5.3%
Distinct61
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-13T04:02:39.256648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.9855072
Min length1

Characters and Unicode

Total characters206
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)84.1%

Sample

1st row741
2nd row383
3rd row358
4th row1,588
5th row808
ValueCountFrequency (%)
0 5
 
7.2%
1 4
 
5.8%
697 2
 
2.9%
540 1
 
1.4%
264 1
 
1.4%
276 1
 
1.4%
1,350 1
 
1.4%
653 1
 
1.4%
1,305 1
 
1.4%
608 1
 
1.4%
Other values (51) 51
73.9%
2023-12-13T04:02:39.717002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 31
15.0%
0 22
10.7%
4 21
10.2%
3 20
9.7%
5 19
9.2%
7 18
8.7%
8 18
8.7%
6 17
8.3%
9 15
7.3%
, 13
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 193
93.7%
Other Punctuation 13
 
6.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 31
16.1%
0 22
11.4%
4 21
10.9%
3 20
10.4%
5 19
9.8%
7 18
9.3%
8 18
9.3%
6 17
8.8%
9 15
7.8%
2 12
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 206
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 31
15.0%
0 22
10.7%
4 21
10.2%
3 20
9.7%
5 19
9.2%
7 18
8.7%
8 18
8.7%
6 17
8.3%
9 15
7.3%
, 13
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 206
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 31
15.0%
0 22
10.7%
4 21
10.2%
3 20
9.7%
5 19
9.2%
7 18
8.7%
8 18
8.7%
6 17
8.3%
9 15
7.3%
, 13
6.3%
Distinct63
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-13T04:02:39.955780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.8405797
Min length1

Characters and Unicode

Total characters196
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)88.4%

Sample

1st row440
2nd row217
3rd row223
4th row819
5th row427
ValueCountFrequency (%)
0 6
 
8.7%
454 2
 
2.9%
3 1
 
1.4%
13 1
 
1.4%
2 1
 
1.4%
1 1
 
1.4%
322 1
 
1.4%
650 1
 
1.4%
1,307 1
 
1.4%
626 1
 
1.4%
Other values (53) 53
76.8%
2023-12-13T04:02:40.402299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 29
14.8%
4 25
12.8%
2 21
10.7%
0 19
9.7%
5 18
9.2%
3 18
9.2%
6 18
9.2%
7 17
8.7%
8 13
6.6%
9 11
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 189
96.4%
Other Punctuation 7
 
3.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 29
15.3%
4 25
13.2%
2 21
11.1%
0 19
10.1%
5 18
9.5%
3 18
9.5%
6 18
9.5%
7 17
9.0%
8 13
6.9%
9 11
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 196
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 29
14.8%
4 25
12.8%
2 21
10.7%
0 19
9.7%
5 18
9.2%
3 18
9.2%
6 18
9.2%
7 17
8.7%
8 13
6.6%
9 11
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 196
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 29
14.8%
4 25
12.8%
2 21
10.7%
0 19
9.7%
5 18
9.2%
3 18
9.2%
6 18
9.2%
7 17
8.7%
8 13
6.6%
9 11
 
5.6%

잠실7동
Real number (ℝ)

ZEROS 

Distinct62
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean273.07246
Minimum0
Maximum842
Zeros4
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size753.0 B
2023-12-13T04:02:40.578556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4
Q189
median270
Q3381
95-th percentile691
Maximum842
Range842
Interquartile range (IQR)292

Descriptive statistics

Standard deviation213.93418
Coefficient of variation (CV)0.78343373
Kurtosis-0.010541444
Mean273.07246
Median Absolute Deviation (MAD)132
Skewness0.66380233
Sum18842
Variance45767.833
MonotonicityNot monotonic
2023-12-13T04:02:40.756354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
5.8%
1 3
 
4.3%
3 2
 
2.9%
75 2
 
2.9%
195 1
 
1.4%
757 1
 
1.4%
270 1
 
1.4%
565 1
 
1.4%
406 1
 
1.4%
351 1
 
1.4%
Other values (52) 52
75.4%
ValueCountFrequency (%)
0 4
5.8%
1 3
4.3%
2 1
 
1.4%
3 2
2.9%
11 1
 
1.4%
14 1
 
1.4%
19 1
 
1.4%
56 1
 
1.4%
75 2
2.9%
84 1
 
1.4%
ValueCountFrequency (%)
842 1
1.4%
775 1
1.4%
757 1
1.4%
727 1
1.4%
637 1
1.4%
624 1
1.4%
568 1
1.4%
565 1
1.4%
553 1
1.4%
525 1
1.4%

Sample

연령성별송파구풍납1동풍납2동거여1동거여2동마천1동마천2동방이1동방이2동오륜동오금동송파1동송파2동석촌동삼전동가락본동가락1동가락2동문정1동문정2동장지동위례동잠실본동잠실2동잠실3동잠실4동잠실6동잠실7동
00세 ~ 4세18,2762847382318412972573384962919574565046365086801,3317514856589432,933493950842741440195
10세 ~ 4세9,4671623641314361641301632561604892222643202673426993862663224521,563269508426383217106
20세 ~ 4세8,8091223741004051331271752401314682342403162413386323652193364911,37022444241635822389
35세 ~ 9세26,4962828922621,0144233525784867821,4165318076556207201,7031,3206158031,1043,6535302,4281,7761,588819337
45세 ~ 9세13,6851544681395182071802942774097412874293253093759036923034065651,8562651,272903808427173
55세 ~ 9세12,8111284241234962161722842093736752443783303113458006283123975391,7972651,156873780392164
610세 ~ 14세29,3043129683878396955067474581,3091,3275378697538757241,5181,6406927191,0753,5356773,1242,1741,551900393
710세 ~ 14세14,9971755001924263732503812556807212574273824493637928503523615581,8073421,5691,090827447171
810세 ~ 14세14,3071374681954133222563662036296062804423714263617267903403585171,7283351,5551,084724453222
915세 ~ 19세28,5544119214689377086147476281,2301,6396358819159269111,1161,6427157411,3392,5558522,6801,9181,090810525
연령성별송파구풍납1동풍납2동거여1동거여2동마천1동마천2동방이1동방이2동오륜동오금동송파1동송파2동석촌동삼전동가락본동가락1동가락2동문정1동문정2동장지동위례동잠실본동잠실2동잠실3동잠실4동잠실6동잠실7동
5995세 ~ 99세402716917141299183611131222121219813332491023101311
60100세 ~ 104세831233043331421141244454422133
61100세 ~ 104세16112000001301000010200100012
62100세 ~ 104세670113043321120141234254322121
63105세 ~ 109세10010100200000001010011000101
64105세 ~ 109세0000000000000000000000000000
65105세 ~ 109세10010100200000001010011000101
66110세 이상3000010000000100000000100000
67110세 이상0000000000000000000000000000
68110세 이상3000010000000100000000100000