Overview

Dataset statistics

Number of variables38
Number of observations1392
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory416.1 KiB
Average record size in memory306.1 B

Variable types

Categorical1
Text35
Numeric2

Dataset

Description2020년도 도내 주요 품목에 대한 월별 가격, 전월가격, 전월대비 등락비 등에 대한 데이터를 포함합니다.
Author강원특별자치도
URLhttps://www.data.go.kr/data/3037865/fileData.do

Reproduction

Analysis started2023-12-11 22:57:03.709416
Analysis finished2023-12-11 22:57:04.867583
Duration1.16 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct12
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
01월
116 
02월
116 
03월
116 
04월
116 
05월
116 
Other values (7)
812 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row01월
2nd row01월
3rd row01월
4th row01월
5th row01월

Common Values

ValueCountFrequency (%)
01월 116
8.3%
02월 116
8.3%
03월 116
8.3%
04월 116
8.3%
05월 116
8.3%
06월 116
8.3%
07월 116
8.3%
08월 116
8.3%
09월 116
8.3%
10월 116
8.3%
Other values (2) 232
16.7%

Length

2023-12-12T07:57:04.928703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
01월 116
8.3%
02월 116
8.3%
03월 116
8.3%
04월 116
8.3%
05월 116
8.3%
06월 116
8.3%
07월 116
8.3%
08월 116
8.3%
09월 116
8.3%
10월 116
8.3%
Other values (2) 232
16.7%

품목
Text

Distinct116
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T07:57:05.367333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length23
Mean length17.706897
Min length10

Characters and Unicode

Total characters24648
Distinct characters303
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row■ (시군) 시내버스 (성인카드할인요금)
2nd row■ (시군) 상수도 (가정용 30톤㎥)
3rd row■ (시군) 도시가스 (가정용 LNG 35㎥)
4th row■ (시군) 쓰레기봉투 (종량제 20ℓ)
5th row■ (시군) 택시 (기본요금)
ValueCountFrequency (%)
1392
 
23.4%
1인분 156
 
2.6%
1kg 132
 
2.2%
시군 84
 
1.4%
10개 72
 
1.2%
1회 72
 
1.2%
수입 72
 
1.2%
국산 60
 
1.0%
200g 60
 
1.0%
국내산 48
 
0.8%
Other values (272) 3804
63.9%
2023-12-12T07:57:05.757072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5952
24.1%
) 1476
 
6.0%
( 1476
 
6.0%
1392
 
5.6%
1 1056
 
4.3%
0 828
 
3.4%
g 444
 
1.8%
288
 
1.2%
2 216
 
0.9%
216
 
0.9%
Other values (293) 11304
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10416
42.3%
Space Separator 5952
24.1%
Decimal Number 2676
 
10.9%
Other Symbol 1524
 
6.2%
Close Punctuation 1476
 
6.0%
Open Punctuation 1476
 
6.0%
Lowercase Letter 720
 
2.9%
Uppercase Letter 252
 
1.0%
Other Punctuation 156
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
288
 
2.8%
216
 
2.1%
204
 
2.0%
204
 
2.0%
192
 
1.8%
180
 
1.7%
156
 
1.5%
156
 
1.5%
156
 
1.5%
156
 
1.5%
Other values (259) 8508
81.7%
Decimal Number
ValueCountFrequency (%)
1 1056
39.5%
0 828
30.9%
2 216
 
8.1%
3 192
 
7.2%
5 168
 
6.3%
8 84
 
3.1%
6 72
 
2.7%
4 36
 
1.3%
9 24
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
L 96
38.1%
K 48
19.0%
G 36
 
14.3%
M 24
 
9.5%
P 24
 
9.5%
C 12
 
4.8%
N 12
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
g 444
61.7%
k 120
 
16.7%
l 60
 
8.3%
m 60
 
8.3%
c 24
 
3.3%
12
 
1.7%
Other Symbol
ValueCountFrequency (%)
1392
91.3%
48
 
3.1%
48
 
3.1%
24
 
1.6%
12
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 72
46.2%
. 48
30.8%
? 24
 
15.4%
· 12
 
7.7%
Space Separator
ValueCountFrequency (%)
5952
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1476
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1476
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13272
53.8%
Hangul 10368
42.1%
Latin 960
 
3.9%
Han 48
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
288
 
2.8%
216
 
2.1%
204
 
2.0%
204
 
2.0%
192
 
1.9%
180
 
1.7%
156
 
1.5%
156
 
1.5%
156
 
1.5%
156
 
1.5%
Other values (257) 8460
81.6%
Common
ValueCountFrequency (%)
5952
44.8%
) 1476
 
11.1%
( 1476
 
11.1%
1392
 
10.5%
1 1056
 
8.0%
0 828
 
6.2%
2 216
 
1.6%
3 192
 
1.4%
5 168
 
1.3%
8 84
 
0.6%
Other values (12) 432
 
3.3%
Latin
ValueCountFrequency (%)
g 444
46.2%
k 120
 
12.5%
L 96
 
10.0%
l 60
 
6.2%
m 60
 
6.2%
K 48
 
5.0%
G 36
 
3.8%
c 24
 
2.5%
M 24
 
2.5%
P 24
 
2.5%
Other values (2) 24
 
2.5%
Han
ValueCountFrequency (%)
36
75.0%
12
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12684
51.5%
Hangul 10368
42.1%
Geometric Shapes 1392
 
5.6%
CJK Compat 132
 
0.5%
CJK 48
 
0.2%
None 12
 
< 0.1%
Letterlike Symbols 12
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5952
46.9%
) 1476
 
11.6%
( 1476
 
11.6%
1 1056
 
8.3%
0 828
 
6.5%
g 444
 
3.5%
2 216
 
1.7%
3 192
 
1.5%
5 168
 
1.3%
k 120
 
0.9%
Other values (17) 756
 
6.0%
Geometric Shapes
ValueCountFrequency (%)
1392
100.0%
Hangul
ValueCountFrequency (%)
288
 
2.8%
216
 
2.1%
204
 
2.0%
204
 
2.0%
192
 
1.9%
180
 
1.7%
156
 
1.5%
156
 
1.5%
156
 
1.5%
156
 
1.5%
Other values (257) 8460
81.6%
CJK Compat
ValueCountFrequency (%)
48
36.4%
48
36.4%
24
18.2%
12
 
9.1%
CJK
ValueCountFrequency (%)
36
75.0%
12
 
25.0%
None
ValueCountFrequency (%)
· 12
100.0%
Letterlike Symbols
ValueCountFrequency (%)
12
100.0%
Distinct621
Distinct (%)44.6%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T07:57:06.131721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length4
Mean length4.3649425
Min length2

Characters and Unicode

Total characters6076
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

Unique412 ?
Unique (%)29.6%

Sample

1st row1250
2nd row14660
3rd row27490
4th row470
5th row3300
ValueCountFrequency (%)
4000 27
 
1.9%
9900 22
 
1.6%
3800 22
 
1.6%
12000 14
 
1.0%
1250 13
 
0.9%
20000 13
 
0.9%
8750 13
 
0.9%
24263 12
 
0.9%
8000 12
 
0.9%
14660 12
 
0.9%
Other values (610) 1230
88.5%
2023-12-12T07:57:06.594402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1645
27.1%
1 723
11.9%
5 567
 
9.3%
7 543
 
8.9%
2 526
 
8.7%
6 526
 
8.7%
3 522
 
8.6%
4 377
 
6.2%
8 375
 
6.2%
9 268
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6072
99.9%
Space Separator 4
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1645
27.1%
1 723
11.9%
5 567
 
9.3%
7 543
 
8.9%
2 526
 
8.7%
6 526
 
8.7%
3 522
 
8.6%
4 377
 
6.2%
8 375
 
6.2%
9 268
 
4.4%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6076
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1645
27.1%
1 723
11.9%
5 567
 
9.3%
7 543
 
8.9%
2 526
 
8.7%
6 526
 
8.7%
3 522
 
8.6%
4 377
 
6.2%
8 375
 
6.2%
9 268
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6076
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1645
27.1%
1 723
11.9%
5 567
 
9.3%
7 543
 
8.9%
2 526
 
8.7%
6 526
 
8.7%
3 522
 
8.6%
4 377
 
6.2%
8 375
 
6.2%
9 268
 
4.4%
Distinct639
Distinct (%)45.9%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T07:57:06.940674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length4
Mean length4.3570402
Min length2

Characters and Unicode

Total characters6065
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

Unique416 ?
Unique (%)29.9%

Sample

1st row1250
2nd row14660
3rd row24134
4th row470
5th row3300
ValueCountFrequency (%)
4000 24
 
1.7%
9900 21
 
1.5%
3800 19
 
1.4%
12000 14
 
1.0%
1250 13
 
0.9%
20000 13
 
0.9%
8750 13
 
0.9%
8000 13
 
0.9%
24000 12
 
0.9%
470 12
 
0.9%
Other values (628) 1235
88.9%
2023-12-12T07:57:07.386194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1626
26.8%
1 717
11.8%
5 570
 
9.4%
3 551
 
9.1%
7 531
 
8.8%
2 527
 
8.7%
6 526
 
8.7%
8 381
 
6.3%
4 366
 
6.0%
9 264
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6059
99.9%
Space Separator 6
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1626
26.8%
1 717
11.8%
5 570
 
9.4%
3 551
 
9.1%
7 531
 
8.8%
2 527
 
8.7%
6 526
 
8.7%
8 381
 
6.3%
4 366
 
6.0%
9 264
 
4.4%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6065
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1626
26.8%
1 717
11.8%
5 570
 
9.4%
3 551
 
9.1%
7 531
 
8.8%
2 527
 
8.7%
6 526
 
8.7%
8 381
 
6.3%
4 366
 
6.0%
9 264
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6065
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1626
26.8%
1 717
11.8%
5 570
 
9.4%
3 551
 
9.1%
7 531
 
8.8%
2 527
 
8.7%
6 526
 
8.7%
8 381
 
6.3%
4 366
 
6.0%
9 264
 
4.4%
Distinct582
Distinct (%)41.8%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T07:57:07.669103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length4
Mean length4.371408
Min length2

Characters and Unicode

Total characters6085
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

Unique390 ?
Unique (%)28.0%

Sample

1st row1300
2nd row25660
3rd row26410
4th row680
5th row3300
ValueCountFrequency (%)
6667 37
 
2.7%
7000 22
 
1.6%
11000 19
 
1.4%
7500 17
 
1.2%
3500 16
 
1.2%
5000 16
 
1.2%
10000 15
 
1.1%
7333 14
 
1.0%
4000 13
 
0.9%
22000 13
 
0.9%
Other values (571) 1202
86.8%
2023-12-12T07:57:08.083670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1602
26.3%
3 727
11.9%
1 692
11.4%
6 620
 
10.2%
2 532
 
8.7%
7 450
 
7.4%
5 439
 
7.2%
8 371
 
6.1%
4 332
 
5.5%
9 304
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6069
99.7%
Space Separator 16
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1602
26.4%
3 727
12.0%
1 692
11.4%
6 620
 
10.2%
2 532
 
8.8%
7 450
 
7.4%
5 439
 
7.2%
8 371
 
6.1%
4 332
 
5.5%
9 304
 
5.0%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6085
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1602
26.3%
3 727
11.9%
1 692
11.4%
6 620
 
10.2%
2 532
 
8.7%
7 450
 
7.4%
5 439
 
7.2%
8 371
 
6.1%
4 332
 
5.5%
9 304
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6085
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1602
26.3%
3 727
11.9%
1 692
11.4%
6 620
 
10.2%
2 532
 
8.7%
7 450
 
7.4%
5 439
 
7.2%
8 371
 
6.1%
4 332
 
5.5%
9 304
 
5.0%
Distinct602
Distinct (%)43.2%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T07:57:08.433238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length4
Mean length4.3663793
Min length2

Characters and Unicode

Total characters6078
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

Unique414 ?
Unique (%)29.7%

Sample

1st row1300
2nd row25660
3rd row23149
4th row680
5th row3300
ValueCountFrequency (%)
6667 37
 
2.7%
7000 23
 
1.7%
11000 20
 
1.4%
3500 18
 
1.3%
7500 17
 
1.2%
10000 17
 
1.2%
5000 17
 
1.2%
1100 12
 
0.9%
7333 12
 
0.9%
8800 12
 
0.9%
Other values (591) 1198
86.6%
2023-12-12T07:57:08.905869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1659
27.3%
3 691
11.4%
1 690
11.4%
6 607
 
10.0%
2 538
 
8.9%
5 462
 
7.6%
7 441
 
7.3%
8 364
 
6.0%
4 315
 
5.2%
9 293
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6060
99.7%
Space Separator 18
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1659
27.4%
3 691
11.4%
1 690
11.4%
6 607
 
10.0%
2 538
 
8.9%
5 462
 
7.6%
7 441
 
7.3%
8 364
 
6.0%
4 315
 
5.2%
9 293
 
4.8%
Space Separator
ValueCountFrequency (%)
18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6078
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1659
27.3%
3 691
11.4%
1 690
11.4%
6 607
 
10.0%
2 538
 
8.9%
5 462
 
7.6%
7 441
 
7.3%
8 364
 
6.0%
4 315
 
5.2%
9 293
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6078
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1659
27.3%
3 691
11.4%
1 690
11.4%
6 607
 
10.0%
2 538
 
8.9%
5 462
 
7.6%
7 441
 
7.3%
8 364
 
6.0%
4 315
 
5.2%
9 293
 
4.8%
Distinct615
Distinct (%)44.2%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T07:57:09.250186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length4
Mean length4.3699713
Min length2

Characters and Unicode

Total characters6083
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

Unique406 ?
Unique (%)29.2%

Sample

1st row1260
2nd row24360
3rd row29220
4th row520
5th row3300
ValueCountFrequency (%)
3500 32
 
2.3%
7167 15
 
1.1%
1260 15
 
1.1%
7000 14
 
1.0%
6500 14
 
1.0%
8833 14
 
1.0%
1433 12
 
0.9%
24360 12
 
0.9%
6667 12
 
0.9%
26490 12
 
0.9%
Other values (604) 1224
89.0%
2023-12-12T07:57:09.754705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1182
19.4%
3 930
15.3%
1 702
11.5%
2 577
9.5%
5 558
9.2%
6 528
8.7%
7 476
7.8%
8 472
 
7.8%
4 388
 
6.4%
9 238
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6051
99.5%
Space Separator 32
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1182
19.5%
3 930
15.4%
1 702
11.6%
2 577
9.5%
5 558
9.2%
6 528
8.7%
7 476
7.9%
8 472
 
7.8%
4 388
 
6.4%
9 238
 
3.9%
Space Separator
ValueCountFrequency (%)
32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6083
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1182
19.4%
3 930
15.3%
1 702
11.5%
2 577
9.5%
5 558
9.2%
6 528
8.7%
7 476
7.8%
8 472
 
7.8%
4 388
 
6.4%
9 238
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6083
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1182
19.4%
3 930
15.3%
1 702
11.5%
2 577
9.5%
5 558
9.2%
6 528
8.7%
7 476
7.8%
8 472
 
7.8%
4 388
 
6.4%
9 238
 
3.9%
Distinct605
Distinct (%)43.5%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T07:57:10.120898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length4
Mean length4.3649425
Min length2

Characters and Unicode

Total characters6076
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

Unique384 ?
Unique (%)27.6%

Sample

1st row1260
2nd row24360
3rd row25704
4th row440
5th row3300
ValueCountFrequency (%)
3500 33
 
2.4%
6500 15
 
1.1%
1260 15
 
1.1%
8833 14
 
1.0%
7167 14
 
1.0%
7000 13
 
0.9%
26490 12
 
0.9%
1433 12
 
0.9%
23000 12
 
0.9%
12500 12
 
0.9%
Other values (594) 1222
88.9%
2023-12-12T07:57:10.626313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1167
19.2%
3 931
15.3%
1 711
11.7%
2 579
9.5%
5 548
9.0%
6 540
8.9%
7 471
7.8%
8 465
 
7.7%
4 394
 
6.5%
9 234
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6040
99.4%
Space Separator 36
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1167
19.3%
3 931
15.4%
1 711
11.8%
2 579
9.6%
5 548
9.1%
6 540
8.9%
7 471
7.8%
8 465
 
7.7%
4 394
 
6.5%
9 234
 
3.9%
Space Separator
ValueCountFrequency (%)
36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6076
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1167
19.2%
3 931
15.3%
1 711
11.7%
2 579
9.5%
5 548
9.0%
6 540
8.9%
7 471
7.8%
8 465
 
7.7%
4 394
 
6.5%
9 234
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6076
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1167
19.2%
3 931
15.3%
1 711
11.7%
2 579
9.5%
5 548
9.0%
6 540
8.9%
7 471
7.8%
8 465
 
7.7%
4 394
 
6.5%
9 234
 
3.9%
Distinct586
Distinct (%)42.1%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T07:57:10.992560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.3146552
Min length2

Characters and Unicode

Total characters6006
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

Unique403 ?
Unique (%)29.0%

Sample

1st row1260
2nd row22980
3rd row29220
4th row560
5th row3300
ValueCountFrequency (%)
6000 22
 
1.6%
15000 21
 
1.6%
16200 19
 
1.4%
16000 16
 
1.2%
3700 14
 
1.0%
1500 14
 
1.0%
2725 14
 
1.0%
22980 12
 
0.9%
6800 12
 
0.9%
16920 12
 
0.9%
Other values (575) 1195
88.5%
2023-12-12T07:57:11.535772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1464
24.4%
1 729
12.1%
3 642
10.7%
5 596
9.9%
2 593
9.9%
6 502
 
8.4%
7 464
 
7.7%
8 348
 
5.8%
4 327
 
5.4%
9 259
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5924
98.6%
Space Separator 82
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1464
24.7%
1 729
12.3%
3 642
10.8%
5 596
10.1%
2 593
10.0%
6 502
 
8.5%
7 464
 
7.8%
8 348
 
5.9%
4 327
 
5.5%
9 259
 
4.4%
Space Separator
ValueCountFrequency (%)
82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6006
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1464
24.4%
1 729
12.1%
3 642
10.7%
5 596
9.9%
2 593
9.9%
6 502
 
8.4%
7 464
 
7.7%
8 348
 
5.8%
4 327
 
5.4%
9 259
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6006
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1464
24.4%
1 729
12.1%
3 642
10.7%
5 596
9.9%
2 593
9.9%
6 502
 
8.4%
7 464
 
7.7%
8 348
 
5.8%
4 327
 
5.4%
9 259
 
4.3%
Distinct576
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T07:57:11.866997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.3110632
Min length2

Characters and Unicode

Total characters6001
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

Unique390 ?
Unique (%)28.0%

Sample

1st row1260
2nd row22600
3rd row25704
4th row560
5th row3300
ValueCountFrequency (%)
15000 23
 
1.7%
6000 21
 
1.6%
16200 19
 
1.4%
16000 16
 
1.2%
2725 14
 
1.0%
3700 13
 
1.0%
1500 13
 
1.0%
130000 12
 
0.9%
6150 12
 
0.9%
25633 12
 
0.9%
Other values (565) 1195
88.5%
2023-12-12T07:57:12.407886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1457
24.3%
1 731
12.2%
3 640
10.7%
2 600
10.0%
5 593
9.9%
6 490
 
8.2%
7 457
 
7.6%
8 344
 
5.7%
4 338
 
5.6%
9 267
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5917
98.6%
Space Separator 84
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1457
24.6%
1 731
12.4%
3 640
10.8%
2 600
10.1%
5 593
10.0%
6 490
 
8.3%
7 457
 
7.7%
8 344
 
5.8%
4 338
 
5.7%
9 267
 
4.5%
Space Separator
ValueCountFrequency (%)
84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6001
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1457
24.3%
1 731
12.2%
3 640
10.7%
2 600
10.0%
5 593
9.9%
6 490
 
8.2%
7 457
 
7.6%
8 344
 
5.7%
4 338
 
5.6%
9 267
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6001
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1457
24.3%
1 731
12.2%
3 640
10.7%
2 600
10.0%
5 593
9.9%
6 490
 
8.2%
7 457
 
7.6%
8 344
 
5.7%
4 338
 
5.6%
9 267
 
4.4%
Distinct574
Distinct (%)41.2%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T07:57:12.671211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.3570402
Min length2

Characters and Unicode

Total characters6065
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

Unique448 ?
Unique (%)32.2%

Sample

1st row1260
2nd row22700
3rd row
4th row370
5th row3300
ValueCountFrequency (%)
15000 54
 
3.9%
8000 50
 
3.6%
13000 42
 
3.1%
3500 42
 
3.1%
5000 38
 
2.8%
12000 27
 
2.0%
6000 26
 
1.9%
3000 26
 
1.9%
20000 23
 
1.7%
2000 22
 
1.6%
Other values (563) 1021
74.5%
2023-12-12T07:57:13.028015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2367
39.0%
1 621
 
10.2%
2 552
 
9.1%
3 446
 
7.4%
5 421
 
6.9%
4 377
 
6.2%
8 374
 
6.2%
6 333
 
5.5%
7 294
 
4.8%
9 238
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6023
99.3%
Space Separator 42
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2367
39.3%
1 621
 
10.3%
2 552
 
9.2%
3 446
 
7.4%
5 421
 
7.0%
4 377
 
6.3%
8 374
 
6.2%
6 333
 
5.5%
7 294
 
4.9%
9 238
 
4.0%
Space Separator
ValueCountFrequency (%)
42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6065
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2367
39.0%
1 621
 
10.2%
2 552
 
9.1%
3 446
 
7.4%
5 421
 
6.9%
4 377
 
6.2%
8 374
 
6.2%
6 333
 
5.5%
7 294
 
4.8%
9 238
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6065
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2367
39.0%
1 621
 
10.2%
2 552
 
9.1%
3 446
 
7.4%
5 421
 
6.9%
4 377
 
6.2%
8 374
 
6.2%
6 333
 
5.5%
7 294
 
4.8%
9 238
 
3.9%
Distinct567
Distinct (%)40.7%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T07:57:13.288985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.3512931
Min length2

Characters and Unicode

Total characters6057
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

Unique440 ?
Unique (%)31.6%

Sample

1st row1260
2nd row22700
3rd row
4th row370
5th row3300
ValueCountFrequency (%)
15000 55
 
4.0%
8000 51
 
3.7%
13000 43
 
3.1%
3500 41
 
3.0%
5000 39
 
2.8%
3000 28
 
2.0%
12000 27
 
2.0%
6000 25
 
1.8%
20000 23
 
1.7%
2500 22
 
1.6%
Other values (556) 1015
74.1%
2023-12-12T07:57:13.637089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2359
38.9%
1 622
 
10.3%
2 549
 
9.1%
3 447
 
7.4%
5 423
 
7.0%
4 368
 
6.1%
8 367
 
6.1%
6 334
 
5.5%
7 299
 
4.9%
9 243
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6011
99.2%
Space Separator 46
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2359
39.2%
1 622
 
10.3%
2 549
 
9.1%
3 447
 
7.4%
5 423
 
7.0%
4 368
 
6.1%
8 367
 
6.1%
6 334
 
5.6%
7 299
 
5.0%
9 243
 
4.0%
Space Separator
ValueCountFrequency (%)
46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6057
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2359
38.9%
1 622
 
10.3%
2 549
 
9.1%
3 447
 
7.4%
5 423
 
7.0%
4 368
 
6.1%
8 367
 
6.1%
6 334
 
5.5%
7 299
 
4.9%
9 243
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6057
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2359
38.9%
1 622
 
10.3%
2 549
 
9.1%
3 447
 
7.4%
5 423
 
7.0%
4 368
 
6.1%
8 367
 
6.1%
6 334
 
5.5%
7 299
 
4.9%
9 243
 
4.0%
Distinct709
Distinct (%)50.9%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T07:57:13.881360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length4
Mean length4.4109195
Min length2

Characters and Unicode

Total characters6140
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

Unique542 ?
Unique (%)38.9%

Sample

1st row1260
2nd row21800
3rd row29220
4th row400
5th row3300
ValueCountFrequency (%)
15000 30
 
2.2%
4000 29
 
2.1%
8000 22
 
1.6%
9330 18
 
1.3%
10000 18
 
1.3%
3500 16
 
1.2%
6000 15
 
1.1%
12500 14
 
1.0%
1260 12
 
0.9%
25000 12
 
0.9%
Other values (698) 1204
86.6%
2023-12-12T07:57:14.225654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1810
29.5%
1 714
 
11.6%
3 641
 
10.4%
2 520
 
8.5%
7 514
 
8.4%
5 460
 
7.5%
6 436
 
7.1%
8 396
 
6.4%
4 389
 
6.3%
9 256
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6136
99.9%
Space Separator 4
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1810
29.5%
1 714
 
11.6%
3 641
 
10.4%
2 520
 
8.5%
7 514
 
8.4%
5 460
 
7.5%
6 436
 
7.1%
8 396
 
6.5%
4 389
 
6.3%
9 256
 
4.2%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6140
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1810
29.5%
1 714
 
11.6%
3 641
 
10.4%
2 520
 
8.5%
7 514
 
8.4%
5 460
 
7.5%
6 436
 
7.1%
8 396
 
6.4%
4 389
 
6.3%
9 256
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6140
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1810
29.5%
1 714
 
11.6%
3 641
 
10.4%
2 520
 
8.5%
7 514
 
8.4%
5 460
 
7.5%
6 436
 
7.1%
8 396
 
6.4%
4 389
 
6.3%
9 256
 
4.2%
Distinct705
Distinct (%)50.6%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T07:57:14.478993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length4
Mean length4.408046
Min length2

Characters and Unicode

Total characters6136
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

Unique534 ?
Unique (%)38.4%

Sample

1st row1260
2nd row21800
3rd row25704
4th row400
5th row3300
ValueCountFrequency (%)
15000 28
 
2.0%
4000 28
 
2.0%
8000 21
 
1.5%
10000 19
 
1.4%
9330 17
 
1.2%
6000 16
 
1.2%
3500 14
 
1.0%
9000 13
 
0.9%
14300 12
 
0.9%
25000 12
 
0.9%
Other values (694) 1210
87.1%
2023-12-12T07:57:14.829720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1810
29.5%
1 718
 
11.7%
3 648
 
10.6%
2 512
 
8.3%
7 512
 
8.3%
6 458
 
7.5%
5 451
 
7.4%
4 391
 
6.4%
8 378
 
6.2%
9 254
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6132
99.9%
Space Separator 4
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1810
29.5%
1 718
 
11.7%
3 648
 
10.6%
2 512
 
8.3%
7 512
 
8.3%
6 458
 
7.5%
5 451
 
7.4%
4 391
 
6.4%
8 378
 
6.2%
9 254
 
4.1%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6136
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1810
29.5%
1 718
 
11.7%
3 648
 
10.6%
2 512
 
8.3%
7 512
 
8.3%
6 458
 
7.5%
5 451
 
7.4%
4 391
 
6.4%
8 378
 
6.2%
9 254
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6136
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1810
29.5%
1 718
 
11.7%
3 648
 
10.6%
2 512
 
8.3%
7 512
 
8.3%
6 458
 
7.5%
5 451
 
7.4%
4 391
 
6.4%
8 378
 
6.2%
9 254
 
4.1%
Distinct577
Distinct (%)41.5%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T07:57:15.106893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.3548851
Min length2

Characters and Unicode

Total characters6062
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

Unique386 ?
Unique (%)27.7%

Sample

1st row1260
2nd row24600
3rd row29220
4th row290
5th row3300
ValueCountFrequency (%)
6000 29
 
2.1%
6750 28
 
2.0%
19000 25
 
1.8%
15000 24
 
1.7%
8000 19
 
1.4%
3375 18
 
1.3%
11500 16
 
1.2%
4775 13
 
0.9%
6250 13
 
0.9%
3000 13
 
0.9%
Other values (566) 1180
85.6%
2023-12-12T07:57:15.536563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1528
25.2%
5 745
12.3%
1 666
11.0%
3 642
10.6%
2 616
10.2%
7 502
 
8.3%
8 390
 
6.4%
6 382
 
6.3%
4 288
 
4.8%
9 275
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6034
99.5%
Space Separator 28
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1528
25.3%
5 745
12.3%
1 666
11.0%
3 642
10.6%
2 616
10.2%
7 502
 
8.3%
8 390
 
6.5%
6 382
 
6.3%
4 288
 
4.8%
9 275
 
4.6%
Space Separator
ValueCountFrequency (%)
28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6062
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1528
25.2%
5 745
12.3%
1 666
11.0%
3 642
10.6%
2 616
10.2%
7 502
 
8.3%
8 390
 
6.4%
6 382
 
6.3%
4 288
 
4.8%
9 275
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6062
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1528
25.2%
5 745
12.3%
1 666
11.0%
3 642
10.6%
2 616
10.2%
7 502
 
8.3%
8 390
 
6.4%
6 382
 
6.3%
4 288
 
4.8%
9 275
 
4.5%
Distinct561
Distinct (%)40.3%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T07:57:15.826066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.3548851
Min length2

Characters and Unicode

Total characters6062
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

Unique365 ?
Unique (%)26.2%

Sample

1st row1260
2nd row24600
3rd row25704
4th row290
5th row3300
ValueCountFrequency (%)
6000 29
 
2.1%
6750 29
 
2.1%
19000 25
 
1.8%
15000 24
 
1.7%
8000 21
 
1.5%
3375 19
 
1.4%
11500 18
 
1.3%
6250 15
 
1.1%
3000 15
 
1.1%
5000 13
 
0.9%
Other values (550) 1170
84.9%
2023-12-12T07:57:16.200778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1539
25.4%
5 742
12.2%
1 674
11.1%
3 649
10.7%
2 601
 
9.9%
7 507
 
8.4%
6 384
 
6.3%
8 384
 
6.3%
4 294
 
4.8%
9 260
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6034
99.5%
Space Separator 28
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1539
25.5%
5 742
12.3%
1 674
11.2%
3 649
10.8%
2 601
 
10.0%
7 507
 
8.4%
6 384
 
6.4%
8 384
 
6.4%
4 294
 
4.9%
9 260
 
4.3%
Space Separator
ValueCountFrequency (%)
28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6062
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1539
25.4%
5 742
12.2%
1 674
11.1%
3 649
10.7%
2 601
 
9.9%
7 507
 
8.4%
6 384
 
6.3%
8 384
 
6.3%
4 294
 
4.8%
9 260
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6062
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1539
25.4%
5 742
12.2%
1 674
11.1%
3 649
10.7%
2 601
 
9.9%
7 507
 
8.4%
6 384
 
6.3%
8 384
 
6.3%
4 294
 
4.8%
9 260
 
4.3%

홍천군
Real number (ℝ)

Distinct592
Distinct (%)42.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1156602.9
Minimum358
Maximum1.3333333 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.4 KiB
2023-12-12T07:57:16.333892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum358
5-th percentile1330
Q13450
median7000
Q313000
95-th percentile123500
Maximum1.3333333 × 108
Range1.3333298 × 108
Interquartile range (IQR)9550

Descriptive statistics

Standard deviation12233631
Coefficient of variation (CV)10.577209
Kurtosis111.46836
Mean1156602.9
Median Absolute Deviation (MAD)4203.5
Skewness10.643929
Sum1.6099913 × 109
Variance1.4966173 × 1014
MonotonicityNot monotonic
2023-12-12T07:57:16.463649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000 24
 
1.7%
6000 20
 
1.4%
3750 19
 
1.4%
9750 17
 
1.2%
7500 14
 
1.0%
3800 13
 
0.9%
8200 13
 
0.9%
3875 12
 
0.9%
23625 12
 
0.9%
1330 12
 
0.9%
Other values (582) 1236
88.8%
ValueCountFrequency (%)
358 1
 
0.1%
397 2
 
0.1%
403 1
 
0.1%
410 7
0.5%
425 1
 
0.1%
450 12
0.9%
932 1
 
0.1%
935 1
 
0.1%
938 1
 
0.1%
940 1
 
0.1%
ValueCountFrequency (%)
133333333 3
 
0.2%
132500000 8
0.6%
127500000 1
 
0.1%
243333 7
0.5%
240000 3
 
0.2%
233333 2
 
0.1%
195000 1
 
0.1%
190000 5
0.4%
189500 5
0.4%
188000 1
 
0.1%

전월가격(홍천군)
Real number (ℝ)

Distinct590
Distinct (%)42.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1152911.5
Minimum358
Maximum1.3333333 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.4 KiB
2023-12-12T07:57:16.602334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum358
5-th percentile1330
Q13445.75
median7000
Q312875
95-th percentile123408.15
Maximum1.3333333 × 108
Range1.3333298 × 108
Interquartile range (IQR)9429.25

Descriptive statistics

Standard deviation12195723
Coefficient of variation (CV)10.578196
Kurtosis111.51453
Mean1152911.5
Median Absolute Deviation (MAD)4214.5
Skewness10.645557
Sum1.6048528 × 109
Variance1.4873567 × 1014
MonotonicityNot monotonic
2023-12-12T07:57:16.754200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000 24
 
1.7%
6000 21
 
1.5%
3750 20
 
1.4%
9750 18
 
1.3%
8200 13
 
0.9%
23625 12
 
0.9%
7000 12
 
0.9%
27500 12
 
0.9%
7500 12
 
0.9%
3800 12
 
0.9%
Other values (580) 1236
88.8%
ValueCountFrequency (%)
358 2
 
0.1%
397 2
 
0.1%
403 1
 
0.1%
410 6
0.4%
425 1
 
0.1%
450 12
0.9%
932 1
 
0.1%
935 1
 
0.1%
938 1
 
0.1%
940 1
 
0.1%
ValueCountFrequency (%)
133333333 3
0.2%
132500000 7
0.5%
127500000 2
 
0.1%
243333 7
0.5%
240000 2
 
0.1%
233333 3
0.2%
190000 5
0.4%
189500 6
0.4%
188000 1
 
0.1%
137500 1
 
0.1%
Distinct541
Distinct (%)38.9%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T07:57:17.045075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.3469828
Min length2

Characters and Unicode

Total characters6051
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

Unique351 ?
Unique (%)25.2%

Sample

1st row1300
2nd row25000
3rd row26410
4th row400
5th row3300
ValueCountFrequency (%)
7000 25
 
1.8%
13500 23
 
1.7%
117500 23
 
1.7%
12000 20
 
1.4%
23750 18
 
1.3%
6000 18
 
1.3%
3500 17
 
1.2%
4167 16
 
1.2%
11750 16
 
1.2%
2750 15
 
1.1%
Other values (530) 1199
86.3%
2023-12-12T07:57:17.500346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1461
24.1%
5 896
14.8%
1 696
11.5%
2 605
10.0%
7 496
 
8.2%
3 475
 
7.8%
6 402
 
6.6%
8 399
 
6.6%
4 336
 
5.6%
9 281
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6047
99.9%
Space Separator 4
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1461
24.2%
5 896
14.8%
1 696
11.5%
2 605
10.0%
7 496
 
8.2%
3 475
 
7.9%
6 402
 
6.6%
8 399
 
6.6%
4 336
 
5.6%
9 281
 
4.6%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6051
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1461
24.1%
5 896
14.8%
1 696
11.5%
2 605
10.0%
7 496
 
8.2%
3 475
 
7.8%
6 402
 
6.6%
8 399
 
6.6%
4 336
 
5.6%
9 281
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6051
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1461
24.1%
5 896
14.8%
1 696
11.5%
2 605
10.0%
7 496
 
8.2%
3 475
 
7.8%
6 402
 
6.6%
8 399
 
6.6%
4 336
 
5.6%
9 281
 
4.6%
Distinct547
Distinct (%)39.3%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T07:57:17.798289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.345546
Min length2

Characters and Unicode

Total characters6049
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

Unique356 ?
Unique (%)25.6%

Sample

1st row1300
2nd row25000
3rd row23149
4th row400
5th row3300
ValueCountFrequency (%)
7000 25
 
1.8%
117500 23
 
1.7%
13500 22
 
1.6%
12000 19
 
1.4%
23750 18
 
1.3%
11750 17
 
1.2%
6000 17
 
1.2%
3500 17
 
1.2%
5900 15
 
1.1%
4167 15
 
1.1%
Other values (536) 1203
86.5%
2023-12-12T07:57:18.252459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1450
24.0%
5 907
15.0%
1 692
11.4%
2 599
9.9%
7 491
 
8.1%
3 478
 
7.9%
8 409
 
6.8%
6 401
 
6.6%
4 339
 
5.6%
9 281
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6047
> 99.9%
Space Separator 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1450
24.0%
5 907
15.0%
1 692
11.4%
2 599
9.9%
7 491
 
8.1%
3 478
 
7.9%
8 409
 
6.8%
6 401
 
6.6%
4 339
 
5.6%
9 281
 
4.6%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6049
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1450
24.0%
5 907
15.0%
1 692
11.4%
2 599
9.9%
7 491
 
8.1%
3 478
 
7.9%
8 409
 
6.8%
6 401
 
6.6%
4 339
 
5.6%
9 281
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6049
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1450
24.0%
5 907
15.0%
1 692
11.4%
2 599
9.9%
7 491
 
8.1%
3 478
 
7.9%
8 409
 
6.8%
6 401
 
6.6%
4 339
 
5.6%
9 281
 
4.6%
Distinct399
Distinct (%)28.7%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T07:57:18.542152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.2837644
Min length2

Characters and Unicode

Total characters5963
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

Unique219 ?
Unique (%)15.7%

Sample

1st row1200
2nd row26690
3rd row27490
4th row350
5th row3300
ValueCountFrequency (%)
6000 28
 
2.1%
7000 27
 
2.0%
12667 26
 
1.9%
9000 22
 
1.6%
8000 20
 
1.5%
4000 18
 
1.3%
13333 17
 
1.3%
5667 17
 
1.3%
3800 15
 
1.1%
16000 15
 
1.1%
Other values (388) 1147
84.8%
2023-12-12T07:57:18.943677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1583
26.5%
3 994
16.7%
1 618
 
10.4%
7 555
 
9.3%
6 538
 
9.0%
2 355
 
6.0%
5 351
 
5.9%
9 338
 
5.7%
8 301
 
5.0%
4 250
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5883
98.7%
Space Separator 80
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1583
26.9%
3 994
16.9%
1 618
 
10.5%
7 555
 
9.4%
6 538
 
9.1%
2 355
 
6.0%
5 351
 
6.0%
9 338
 
5.7%
8 301
 
5.1%
4 250
 
4.2%
Space Separator
ValueCountFrequency (%)
80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5963
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1583
26.5%
3 994
16.7%
1 618
 
10.4%
7 555
 
9.3%
6 538
 
9.0%
2 355
 
6.0%
5 351
 
5.9%
9 338
 
5.7%
8 301
 
5.0%
4 250
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5963
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1583
26.5%
3 994
16.7%
1 618
 
10.4%
7 555
 
9.3%
6 538
 
9.0%
2 355
 
6.0%
5 351
 
5.9%
9 338
 
5.7%
8 301
 
5.0%
4 250
 
4.2%
Distinct394
Distinct (%)28.3%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T07:57:19.237056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.279454
Min length2

Characters and Unicode

Total characters5957
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

Unique208 ?
Unique (%)14.9%

Sample

1st row1400
2nd row26690
3rd row24134
4th row350
5th row3300
ValueCountFrequency (%)
7000 31
 
2.3%
12667 29
 
2.1%
6000 27
 
2.0%
9000 20
 
1.5%
8000 20
 
1.5%
4000 18
 
1.3%
5667 18
 
1.3%
16000 15
 
1.1%
13333 15
 
1.1%
3800 15
 
1.1%
Other values (383) 1142
84.6%
2023-12-12T07:57:19.626728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1577
26.5%
3 985
16.5%
1 630
 
10.6%
7 563
 
9.5%
6 535
 
9.0%
5 357
 
6.0%
2 354
 
5.9%
9 333
 
5.6%
8 291
 
4.9%
4 248
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5873
98.6%
Space Separator 84
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1577
26.9%
3 985
16.8%
1 630
 
10.7%
7 563
 
9.6%
6 535
 
9.1%
5 357
 
6.1%
2 354
 
6.0%
9 333
 
5.7%
8 291
 
5.0%
4 248
 
4.2%
Space Separator
ValueCountFrequency (%)
84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5957
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1577
26.5%
3 985
16.5%
1 630
 
10.6%
7 563
 
9.5%
6 535
 
9.0%
5 357
 
6.0%
2 354
 
5.9%
9 333
 
5.6%
8 291
 
4.9%
4 248
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5957
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1577
26.5%
3 985
16.5%
1 630
 
10.6%
7 563
 
9.5%
6 535
 
9.0%
5 357
 
6.0%
2 354
 
5.9%
9 333
 
5.6%
8 291
 
4.9%
4 248
 
4.2%
Distinct807
Distinct (%)58.0%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T07:57:19.870025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.3908046
Min length2

Characters and Unicode

Total characters6112
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

Unique582 ?
Unique (%)41.8%

Sample

1st row1260
2nd row24700
3rd row28060
4th row490
5th row3300
ValueCountFrequency (%)
13000 13
 
0.9%
4833 13
 
0.9%
8000 13
 
0.9%
9800 13
 
0.9%
17500 12
 
0.9%
1260 12
 
0.9%
5500 12
 
0.9%
2000 12
 
0.9%
470 12
 
0.9%
25800 12
 
0.9%
Other values (796) 1262
91.1%
2023-12-12T07:57:20.209208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1226
20.1%
1 783
12.8%
3 606
9.9%
5 589
9.6%
2 577
9.4%
7 577
9.4%
4 497
8.1%
6 492
8.0%
8 441
 
7.2%
9 312
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6100
99.8%
Space Separator 12
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1226
20.1%
1 783
12.8%
3 606
9.9%
5 589
9.7%
2 577
9.5%
7 577
9.5%
4 497
8.1%
6 492
8.1%
8 441
 
7.2%
9 312
 
5.1%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6112
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1226
20.1%
1 783
12.8%
3 606
9.9%
5 589
9.6%
2 577
9.4%
7 577
9.4%
4 497
8.1%
6 492
8.0%
8 441
 
7.2%
9 312
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6112
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1226
20.1%
1 783
12.8%
3 606
9.9%
5 589
9.6%
2 577
9.4%
7 577
9.4%
4 497
8.1%
6 492
8.0%
8 441
 
7.2%
9 312
 
5.1%
Distinct794
Distinct (%)57.0%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T07:57:20.516874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.3900862
Min length2

Characters and Unicode

Total characters6111
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

Unique569 ?
Unique (%)40.9%

Sample

1st row1260
2nd row24700
3rd row24646
4th row490
5th row3300
ValueCountFrequency (%)
8000 14
 
1.0%
4833 13
 
0.9%
17500 12
 
0.9%
2000 12
 
0.9%
470 12
 
0.9%
13000 12
 
0.9%
1260 12
 
0.9%
25800 12
 
0.9%
9800 12
 
0.9%
490 12
 
0.9%
Other values (783) 1263
91.1%
2023-12-12T07:57:20.929284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1228
20.1%
1 783
12.8%
3 610
10.0%
5 593
9.7%
2 589
9.6%
7 563
9.2%
4 495
8.1%
6 482
 
7.9%
8 435
 
7.1%
9 321
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6099
99.8%
Space Separator 12
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1228
20.1%
1 783
12.8%
3 610
10.0%
5 593
9.7%
2 589
9.7%
7 563
9.2%
4 495
8.1%
6 482
 
7.9%
8 435
 
7.1%
9 321
 
5.3%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6111
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1228
20.1%
1 783
12.8%
3 610
10.0%
5 593
9.7%
2 589
9.6%
7 563
9.2%
4 495
8.1%
6 482
 
7.9%
8 435
 
7.1%
9 321
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6111
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1228
20.1%
1 783
12.8%
3 610
10.0%
5 593
9.7%
2 589
9.6%
7 563
9.2%
4 495
8.1%
6 482
 
7.9%
8 435
 
7.1%
9 321
 
5.3%
Distinct426
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T07:57:21.174670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.253592
Min length2

Characters and Unicode

Total characters5921
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

Unique254 ?
Unique (%)18.2%

Sample

1st row1000
2nd row25500
3rd row27490
4th row420
5th row3300
ValueCountFrequency (%)
6000 39
 
2.9%
38000 19
 
1.4%
11000 18
 
1.3%
10000 17
 
1.3%
7250 16
 
1.2%
3375 16
 
1.2%
18500 15
 
1.1%
13000 15
 
1.1%
5500 15
 
1.1%
8000 15
 
1.1%
Other values (415) 1157
86.2%
2023-12-12T07:57:21.547291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1771
29.9%
5 783
13.2%
1 564
 
9.5%
2 521
 
8.8%
3 515
 
8.7%
7 484
 
8.2%
8 401
 
6.8%
6 377
 
6.4%
4 239
 
4.0%
9 166
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5821
98.3%
Space Separator 100
 
1.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1771
30.4%
5 783
13.5%
1 564
 
9.7%
2 521
 
9.0%
3 515
 
8.8%
7 484
 
8.3%
8 401
 
6.9%
6 377
 
6.5%
4 239
 
4.1%
9 166
 
2.9%
Space Separator
ValueCountFrequency (%)
100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5921
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1771
29.9%
5 783
13.2%
1 564
 
9.5%
2 521
 
8.8%
3 515
 
8.7%
7 484
 
8.2%
8 401
 
6.8%
6 377
 
6.4%
4 239
 
4.0%
9 166
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5921
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1771
29.9%
5 783
13.2%
1 564
 
9.5%
2 521
 
8.8%
3 515
 
8.7%
7 484
 
8.2%
8 401
 
6.8%
6 377
 
6.4%
4 239
 
4.0%
9 166
 
2.8%
Distinct427
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T07:57:21.823113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.2521552
Min length2

Characters and Unicode

Total characters5919
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

Unique255 ?
Unique (%)18.3%

Sample

1st row1000
2nd row20600
3rd row24134
4th row280
5th row3300
ValueCountFrequency (%)
6000 37
 
2.8%
10000 18
 
1.3%
38000 18
 
1.3%
11000 17
 
1.3%
13000 17
 
1.3%
3375 16
 
1.2%
7250 16
 
1.2%
5500 15
 
1.1%
2750 15
 
1.1%
8000 15
 
1.1%
Other values (416) 1158
86.3%
2023-12-12T07:57:22.195166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1784
30.1%
5 767
13.0%
1 570
 
9.6%
3 533
 
9.0%
2 520
 
8.8%
7 480
 
8.1%
8 388
 
6.6%
6 375
 
6.3%
4 233
 
3.9%
9 169
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5819
98.3%
Space Separator 100
 
1.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1784
30.7%
5 767
13.2%
1 570
 
9.8%
3 533
 
9.2%
2 520
 
8.9%
7 480
 
8.2%
8 388
 
6.7%
6 375
 
6.4%
4 233
 
4.0%
9 169
 
2.9%
Space Separator
ValueCountFrequency (%)
100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5919
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1784
30.1%
5 767
13.0%
1 570
 
9.6%
3 533
 
9.0%
2 520
 
8.8%
7 480
 
8.1%
8 388
 
6.6%
6 375
 
6.3%
4 233
 
3.9%
9 169
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5919
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1784
30.1%
5 767
13.0%
1 570
 
9.6%
3 533
 
9.0%
2 520
 
8.8%
7 480
 
8.1%
8 388
 
6.6%
6 375
 
6.3%
4 233
 
3.9%
9 169
 
2.9%
Distinct466
Distinct (%)33.5%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T07:57:22.468009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.2478448
Min length2

Characters and Unicode

Total characters5913
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

Unique278 ?
Unique (%)20.0%

Sample

1st row1280
2nd row20330
3rd row
4th row400
5th row3500
ValueCountFrequency (%)
8000 46
 
3.4%
14000 27
 
2.0%
3000 25
 
1.9%
7000 24
 
1.8%
6000 23
 
1.7%
7667 23
 
1.7%
7333 21
 
1.6%
17667 18
 
1.3%
4333 16
 
1.2%
12333 16
 
1.2%
Other values (455) 1095
82.1%
2023-12-12T07:57:22.846282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1623
27.4%
3 903
15.3%
1 623
 
10.5%
7 527
 
8.9%
6 513
 
8.7%
2 410
 
6.9%
5 407
 
6.9%
4 345
 
5.8%
8 277
 
4.7%
9 169
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5797
98.0%
Space Separator 116
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1623
28.0%
3 903
15.6%
1 623
 
10.7%
7 527
 
9.1%
6 513
 
8.8%
2 410
 
7.1%
5 407
 
7.0%
4 345
 
6.0%
8 277
 
4.8%
9 169
 
2.9%
Space Separator
ValueCountFrequency (%)
116
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5913
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1623
27.4%
3 903
15.3%
1 623
 
10.5%
7 527
 
8.9%
6 513
 
8.7%
2 410
 
6.9%
5 407
 
6.9%
4 345
 
5.8%
8 277
 
4.7%
9 169
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5913
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1623
27.4%
3 903
15.3%
1 623
 
10.5%
7 527
 
8.9%
6 513
 
8.7%
2 410
 
6.9%
5 407
 
6.9%
4 345
 
5.8%
8 277
 
4.7%
9 169
 
2.9%
Distinct467
Distinct (%)33.5%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T07:57:23.145279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.2428161
Min length2

Characters and Unicode

Total characters5906
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

Unique269 ?
Unique (%)19.3%

Sample

1st row1280
2nd row20330
3rd row
4th row400
5th row3500
ValueCountFrequency (%)
8000 48
 
3.6%
3000 27
 
2.0%
14000 25
 
1.9%
7000 25
 
1.9%
7667 23
 
1.7%
6000 22
 
1.6%
7333 22
 
1.6%
12333 19
 
1.4%
17667 17
 
1.3%
5000 17
 
1.3%
Other values (456) 1089
81.6%
2023-12-12T07:57:23.864293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1604
27.2%
3 924
15.6%
1 625
 
10.6%
7 533
 
9.0%
6 501
 
8.5%
5 417
 
7.1%
2 411
 
7.0%
4 342
 
5.8%
8 263
 
4.5%
9 170
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5790
98.0%
Space Separator 116
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1604
27.7%
3 924
16.0%
1 625
 
10.8%
7 533
 
9.2%
6 501
 
8.7%
5 417
 
7.2%
2 411
 
7.1%
4 342
 
5.9%
8 263
 
4.5%
9 170
 
2.9%
Space Separator
ValueCountFrequency (%)
116
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5906
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1604
27.2%
3 924
15.6%
1 625
 
10.6%
7 533
 
9.0%
6 501
 
8.5%
5 417
 
7.1%
2 411
 
7.0%
4 342
 
5.8%
8 263
 
4.5%
9 170
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5906
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1604
27.2%
3 924
15.6%
1 625
 
10.6%
7 533
 
9.0%
6 501
 
8.5%
5 417
 
7.1%
2 411
 
7.0%
4 342
 
5.8%
8 263
 
4.5%
9 170
 
2.9%
Distinct252
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T07:57:24.163991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length4
Mean length4.2744253
Min length2

Characters and Unicode

Total characters5950
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

Unique101 ?
Unique (%)7.3%

Sample

1st row1300
2nd row9150
3rd row
4th row230
5th row3500
ValueCountFrequency (%)
7500 47
 
3.5%
5500 42
 
3.1%
3000 39
 
2.9%
7000 35
 
2.6%
4500 34
 
2.5%
8000 33
 
2.4%
3500 30
 
2.2%
20000 27
 
2.0%
12000 23
 
1.7%
11000 23
 
1.7%
Other values (241) 1022
75.4%
2023-12-12T07:57:24.647088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2686
45.1%
5 892
 
15.0%
1 547
 
9.2%
2 384
 
6.5%
3 286
 
4.8%
7 283
 
4.8%
4 210
 
3.5%
9 210
 
3.5%
6 191
 
3.2%
8 187
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5876
98.8%
Space Separator 74
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2686
45.7%
5 892
 
15.2%
1 547
 
9.3%
2 384
 
6.5%
3 286
 
4.9%
7 283
 
4.8%
4 210
 
3.6%
9 210
 
3.6%
6 191
 
3.3%
8 187
 
3.2%
Space Separator
ValueCountFrequency (%)
74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5950
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2686
45.1%
5 892
 
15.0%
1 547
 
9.2%
2 384
 
6.5%
3 286
 
4.8%
7 283
 
4.8%
4 210
 
3.5%
9 210
 
3.5%
6 191
 
3.2%
8 187
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5950
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2686
45.1%
5 892
 
15.0%
1 547
 
9.2%
2 384
 
6.5%
3 286
 
4.8%
7 283
 
4.8%
4 210
 
3.5%
9 210
 
3.5%
6 191
 
3.2%
8 187
 
3.1%
Distinct246
Distinct (%)17.7%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T07:57:24.975815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length4
Mean length4.2715517
Min length2

Characters and Unicode

Total characters5946
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

Unique94 ?
Unique (%)6.8%

Sample

1st row1300
2nd row9150
3rd row
4th row230
5th row3500
ValueCountFrequency (%)
7500 48
 
3.5%
5500 41
 
3.0%
3000 39
 
2.9%
7000 36
 
2.7%
4500 35
 
2.6%
3500 31
 
2.3%
8000 31
 
2.3%
20000 27
 
2.0%
12000 23
 
1.7%
5000 22
 
1.6%
Other values (235) 1022
75.4%
2023-12-12T07:57:25.420023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2686
45.2%
5 895
 
15.1%
1 542
 
9.1%
2 383
 
6.4%
3 289
 
4.9%
7 287
 
4.8%
9 212
 
3.6%
4 204
 
3.4%
6 194
 
3.3%
8 180
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5872
98.8%
Space Separator 74
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2686
45.7%
5 895
 
15.2%
1 542
 
9.2%
2 383
 
6.5%
3 289
 
4.9%
7 287
 
4.9%
9 212
 
3.6%
4 204
 
3.5%
6 194
 
3.3%
8 180
 
3.1%
Space Separator
ValueCountFrequency (%)
74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5946
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2686
45.2%
5 895
 
15.1%
1 542
 
9.1%
2 383
 
6.4%
3 289
 
4.9%
7 287
 
4.8%
9 212
 
3.6%
4 204
 
3.4%
6 194
 
3.3%
8 180
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5946
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2686
45.2%
5 895
 
15.1%
1 542
 
9.1%
2 383
 
6.4%
3 289
 
4.9%
7 287
 
4.8%
9 212
 
3.6%
4 204
 
3.4%
6 194
 
3.3%
8 180
 
3.0%
Distinct477
Distinct (%)34.3%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T07:57:25.691846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.299569
Min length2

Characters and Unicode

Total characters5985
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

Unique289 ?
Unique (%)20.8%

Sample

1st row1300
2nd row8800
3rd row
4th row400
5th row3500
ValueCountFrequency (%)
6000 31
 
2.3%
7333 28
 
2.1%
3500 27
 
2.0%
3000 23
 
1.7%
7667 21
 
1.5%
7000 20
 
1.5%
11667 17
 
1.2%
16000 16
 
1.2%
10667 16
 
1.2%
5333 15
 
1.1%
Other values (466) 1146
84.3%
2023-12-12T07:57:26.104099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1610
26.9%
3 881
14.7%
1 784
13.1%
6 575
 
9.6%
7 572
 
9.6%
5 431
 
7.2%
2 396
 
6.6%
4 245
 
4.1%
9 233
 
3.9%
8 194
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5921
98.9%
Space Separator 64
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1610
27.2%
3 881
14.9%
1 784
13.2%
6 575
 
9.7%
7 572
 
9.7%
5 431
 
7.3%
2 396
 
6.7%
4 245
 
4.1%
9 233
 
3.9%
8 194
 
3.3%
Space Separator
ValueCountFrequency (%)
64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5985
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1610
26.9%
3 881
14.7%
1 784
13.1%
6 575
 
9.6%
7 572
 
9.6%
5 431
 
7.2%
2 396
 
6.6%
4 245
 
4.1%
9 233
 
3.9%
8 194
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5985
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1610
26.9%
3 881
14.7%
1 784
13.1%
6 575
 
9.6%
7 572
 
9.6%
5 431
 
7.2%
2 396
 
6.6%
4 245
 
4.1%
9 233
 
3.9%
8 194
 
3.2%
Distinct462
Distinct (%)33.2%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T07:57:26.400712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.2952586
Min length2

Characters and Unicode

Total characters5979
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

Unique266 ?
Unique (%)19.1%

Sample

1st row1300
2nd row8800
3rd row
4th row400
5th row3500
ValueCountFrequency (%)
6000 34
 
2.5%
3500 29
 
2.1%
7333 25
 
1.8%
3000 24
 
1.8%
7000 23
 
1.7%
7667 21
 
1.5%
10667 17
 
1.2%
10000 16
 
1.2%
11667 15
 
1.1%
5333 14
 
1.0%
Other values (451) 1142
84.0%
2023-12-12T07:57:26.790148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1672
28.0%
3 839
14.0%
1 774
12.9%
6 567
 
9.5%
7 560
 
9.4%
5 431
 
7.2%
2 400
 
6.7%
4 239
 
4.0%
9 238
 
4.0%
8 195
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5915
98.9%
Space Separator 64
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1672
28.3%
3 839
14.2%
1 774
13.1%
6 567
 
9.6%
7 560
 
9.5%
5 431
 
7.3%
2 400
 
6.8%
4 239
 
4.0%
9 238
 
4.0%
8 195
 
3.3%
Space Separator
ValueCountFrequency (%)
64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5979
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1672
28.0%
3 839
14.0%
1 774
12.9%
6 567
 
9.5%
7 560
 
9.4%
5 431
 
7.2%
2 400
 
6.7%
4 239
 
4.0%
9 238
 
4.0%
8 195
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5979
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1672
28.0%
3 839
14.0%
1 774
12.9%
6 567
 
9.5%
7 560
 
9.4%
5 431
 
7.2%
2 400
 
6.7%
4 239
 
4.0%
9 238
 
4.0%
8 195
 
3.3%
Distinct553
Distinct (%)39.7%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T07:57:27.087554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.316092
Min length2

Characters and Unicode

Total characters6008
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

Unique353 ?
Unique (%)25.4%

Sample

1st row900
2nd row16080
3rd row
4th row300
5th row3300
ValueCountFrequency (%)
3000 36
 
2.6%
4000 21
 
1.5%
5000 19
 
1.4%
13000 15
 
1.1%
6000 14
 
1.0%
3875 13
 
1.0%
7500 13
 
1.0%
7000 13
 
1.0%
13333 13
 
1.0%
8750 13
 
1.0%
Other values (542) 1196
87.6%
2023-12-12T07:57:27.477953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1813
30.2%
5 691
 
11.5%
3 667
 
11.1%
1 660
 
11.0%
7 521
 
8.7%
2 447
 
7.4%
6 356
 
5.9%
8 331
 
5.5%
4 279
 
4.6%
9 191
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5956
99.1%
Space Separator 52
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1813
30.4%
5 691
 
11.6%
3 667
 
11.2%
1 660
 
11.1%
7 521
 
8.7%
2 447
 
7.5%
6 356
 
6.0%
8 331
 
5.6%
4 279
 
4.7%
9 191
 
3.2%
Space Separator
ValueCountFrequency (%)
52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6008
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1813
30.2%
5 691
 
11.5%
3 667
 
11.1%
1 660
 
11.0%
7 521
 
8.7%
2 447
 
7.4%
6 356
 
5.9%
8 331
 
5.5%
4 279
 
4.6%
9 191
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6008
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1813
30.2%
5 691
 
11.5%
3 667
 
11.1%
1 660
 
11.0%
7 521
 
8.7%
2 447
 
7.4%
6 356
 
5.9%
8 331
 
5.5%
4 279
 
4.6%
9 191
 
3.2%
Distinct559
Distinct (%)40.2%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T07:57:27.781658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.3153736
Min length2

Characters and Unicode

Total characters6007
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

Unique357 ?
Unique (%)25.6%

Sample

1st row900
2nd row13950
3rd row
4th row300
5th row3300
ValueCountFrequency (%)
3000 35
 
2.6%
5000 20
 
1.5%
4000 20
 
1.5%
7000 15
 
1.1%
13000 15
 
1.1%
3875 15
 
1.1%
12750 14
 
1.0%
6000 14
 
1.0%
8750 13
 
1.0%
24000 12
 
0.9%
Other values (548) 1193
87.3%
2023-12-12T07:57:28.203731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1804
30.0%
5 700
 
11.7%
3 657
 
10.9%
1 656
 
10.9%
7 528
 
8.8%
2 467
 
7.8%
6 360
 
6.0%
8 321
 
5.3%
4 273
 
4.5%
9 189
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5955
99.1%
Space Separator 52
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1804
30.3%
5 700
 
11.8%
3 657
 
11.0%
1 656
 
11.0%
7 528
 
8.9%
2 467
 
7.8%
6 360
 
6.0%
8 321
 
5.4%
4 273
 
4.6%
9 189
 
3.2%
Space Separator
ValueCountFrequency (%)
52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6007
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1804
30.0%
5 700
 
11.7%
3 657
 
10.9%
1 656
 
10.9%
7 528
 
8.8%
2 467
 
7.8%
6 360
 
6.0%
8 321
 
5.3%
4 273
 
4.5%
9 189
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6007
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1804
30.0%
5 700
 
11.7%
3 657
 
10.9%
1 656
 
10.9%
7 528
 
8.8%
2 467
 
7.8%
6 360
 
6.0%
8 321
 
5.3%
4 273
 
4.5%
9 189
 
3.1%
Distinct541
Distinct (%)38.9%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T07:57:28.488193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.2701149
Min length2

Characters and Unicode

Total characters5944
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

Unique346 ?
Unique (%)24.9%

Sample

1st row1260
2nd row21930
3rd row29220
4th row500
5th row3300
ValueCountFrequency (%)
10000 27
 
2.0%
8000 23
 
1.7%
4000 22
 
1.6%
13000 22
 
1.6%
5000 16
 
1.2%
3400 14
 
1.0%
82333 12
 
0.9%
1260 12
 
0.9%
21930 12
 
0.9%
16611 12
 
0.9%
Other values (530) 1169
87.2%
2023-12-12T07:57:28.926926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1183
19.9%
1 788
13.3%
3 659
11.1%
2 652
11.0%
5 489
8.2%
8 468
 
7.9%
4 446
 
7.5%
7 440
 
7.4%
6 373
 
6.3%
9 344
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5842
98.3%
Space Separator 102
 
1.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1183
20.2%
1 788
13.5%
3 659
11.3%
2 652
11.2%
5 489
8.4%
8 468
 
8.0%
4 446
 
7.6%
7 440
 
7.5%
6 373
 
6.4%
9 344
 
5.9%
Space Separator
ValueCountFrequency (%)
102
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5944
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1183
19.9%
1 788
13.3%
3 659
11.1%
2 652
11.0%
5 489
8.2%
8 468
 
7.9%
4 446
 
7.5%
7 440
 
7.4%
6 373
 
6.3%
9 344
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5944
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1183
19.9%
1 788
13.3%
3 659
11.1%
2 652
11.0%
5 489
8.2%
8 468
 
7.9%
4 446
 
7.5%
7 440
 
7.4%
6 373
 
6.3%
9 344
 
5.8%
Distinct523
Distinct (%)37.6%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T07:57:29.284238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.2672414
Min length2

Characters and Unicode

Total characters5940
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

Unique329 ?
Unique (%)23.6%

Sample

1st row1400
2nd row21930
3rd row25704
4th row500
5th row3300
ValueCountFrequency (%)
10000 25
 
1.9%
8000 23
 
1.7%
4000 21
 
1.6%
13000 21
 
1.6%
5000 17
 
1.3%
3400 15
 
1.1%
16611 13
 
1.0%
21930 12
 
0.9%
1400 12
 
0.9%
57500000 12
 
0.9%
Other values (512) 1169
87.2%
2023-12-12T07:57:29.786369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1179
19.8%
1 787
13.2%
3 652
11.0%
2 652
11.0%
5 479
8.1%
8 461
 
7.8%
4 447
 
7.5%
7 444
 
7.5%
6 377
 
6.3%
9 358
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5836
98.2%
Space Separator 104
 
1.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1179
20.2%
1 787
13.5%
3 652
11.2%
2 652
11.2%
5 479
8.2%
8 461
 
7.9%
4 447
 
7.7%
7 444
 
7.6%
6 377
 
6.5%
9 358
 
6.1%
Space Separator
ValueCountFrequency (%)
104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5940
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1179
19.8%
1 787
13.2%
3 652
11.0%
2 652
11.0%
5 479
8.1%
8 461
 
7.8%
4 447
 
7.5%
7 444
 
7.5%
6 377
 
6.3%
9 358
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5940
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1179
19.8%
1 787
13.2%
3 652
11.0%
2 652
11.0%
5 479
8.1%
8 461
 
7.8%
4 447
 
7.5%
7 444
 
7.5%
6 377
 
6.3%
9 358
 
6.0%
Distinct486
Distinct (%)34.9%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T07:57:30.105932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.2923851
Min length2

Characters and Unicode

Total characters5975
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

Unique318 ?
Unique (%)22.8%

Sample

1st row1260
2nd row21430
3rd row29220
4th row340
5th row3300
ValueCountFrequency (%)
6000 54
 
4.0%
9000 37
 
2.7%
20000 30
 
2.2%
4000 29
 
2.1%
8000 29
 
2.1%
15000 25
 
1.8%
3000 22
 
1.6%
7000 20
 
1.5%
7500 18
 
1.3%
13000 14
 
1.0%
Other values (475) 1079
79.5%
2023-12-12T07:57:30.510008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1960
32.8%
3 649
 
10.9%
1 613
 
10.3%
6 475
 
7.9%
2 463
 
7.7%
5 446
 
7.5%
7 408
 
6.8%
4 380
 
6.4%
8 334
 
5.6%
9 177
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5905
98.8%
Space Separator 70
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1960
33.2%
3 649
 
11.0%
1 613
 
10.4%
6 475
 
8.0%
2 463
 
7.8%
5 446
 
7.6%
7 408
 
6.9%
4 380
 
6.4%
8 334
 
5.7%
9 177
 
3.0%
Space Separator
ValueCountFrequency (%)
70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5975
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1960
32.8%
3 649
 
10.9%
1 613
 
10.3%
6 475
 
7.9%
2 463
 
7.7%
5 446
 
7.5%
7 408
 
6.8%
4 380
 
6.4%
8 334
 
5.6%
9 177
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5975
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1960
32.8%
3 649
 
10.9%
1 613
 
10.3%
6 475
 
7.9%
2 463
 
7.7%
5 446
 
7.5%
7 408
 
6.8%
4 380
 
6.4%
8 334
 
5.6%
9 177
 
3.0%
Distinct486
Distinct (%)34.9%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T07:57:30.913654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.2909483
Min length2

Characters and Unicode

Total characters5973
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

Unique322 ?
Unique (%)23.1%

Sample

1st row1260
2nd row21430
3rd row25704
4th row340
5th row3300
ValueCountFrequency (%)
6000 54
 
4.0%
9000 37
 
2.7%
8000 29
 
2.1%
20000 28
 
2.1%
4000 28
 
2.1%
15000 22
 
1.6%
7000 21
 
1.5%
3000 21
 
1.5%
7500 18
 
1.3%
13000 16
 
1.2%
Other values (475) 1083
79.8%
2023-12-12T07:57:31.409686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1946
32.6%
3 644
 
10.8%
1 612
 
10.2%
6 489
 
8.2%
2 470
 
7.9%
5 451
 
7.6%
7 401
 
6.7%
4 383
 
6.4%
8 330
 
5.5%
9 177
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5903
98.8%
Space Separator 70
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1946
33.0%
3 644
 
10.9%
1 612
 
10.4%
6 489
 
8.3%
2 470
 
8.0%
5 451
 
7.6%
7 401
 
6.8%
4 383
 
6.5%
8 330
 
5.6%
9 177
 
3.0%
Space Separator
ValueCountFrequency (%)
70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5973
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1946
32.6%
3 644
 
10.8%
1 612
 
10.2%
6 489
 
8.2%
2 470
 
7.9%
5 451
 
7.6%
7 401
 
6.7%
4 383
 
6.4%
8 330
 
5.5%
9 177
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5973
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1946
32.6%
3 644
 
10.8%
1 612
 
10.2%
6 489
 
8.2%
2 470
 
7.9%
5 451
 
7.6%
7 401
 
6.7%
4 383
 
6.4%
8 330
 
5.5%
9 177
 
3.0%

Sample

구분품목춘천시전월가격(춘천시)원주시전월가격(원주시)강릉시전월가격(강릉시)동해시전월가격(동해시)태백시전월가격(태백시)속초시전월가격(속초시)삼척시전월가격(삼척시)홍천군전월가격(홍천군)횡성군전월가격(횡성군)영월군전월가격(영월군)평창군전월가격(평창군)정선군전월가격(정선군)철원군전월가격(철원군)화천군전월가격(화천군)양구군전월가격(양구군)인제군전월가격(인제군)고성군전월가격(고성군)양양군전월가격(양양군)
001월■ (시군) 시내버스 (성인카드할인요금)1250125013001300126012601260126012601260126012601260126013301300130013001200140012601260100010001280128013001300130013009009001260140012601260
101월■ (시군) 상수도 (가정용 30톤㎥)14660146602566025660243602436022980226002270022700218002180024600246002362523625250002500026690266902470024700255002060020330203309150915088008800160801395021930219302143021430
201월■ (시군) 도시가스 (가정용 LNG 35㎥)2749024134264102314929220257042922025704292202570429220257042749024134264102314927490241342806024646274902413429220257042922025704
301월■ (시군) 쓰레기봉투 (종량제 20ℓ)470470680680520440560560370370400400290290450450400400350350490490420280400400230230400400300300500500340340
401월■ (시군) 택시 (기본요금)330033003300330033003300330033003300330033003300330033003500350033003300330033003300330033003300350035003500350035003500330033003300330033003300
501월■ (시군) 하수도 (가정용 30톤㎥)990099001500015000264902649016200165005780578020790175206300630082008200529052907570757098009800870056001404014040260026005190519011120106509200920088508850
601월■ (시군) 정화조청소 (1㎥·㎘)240002400022000210002300023000190001900020000200002700021300190001900020000200002000020000160001600025800258004800018000200002000020000200001900019000240002400023000230002400018000
701월■ 쌀 (오대미 20kg)736227537266250650007133371833751007510071400727336825068750712257500069650671506610066100681336813373469731887833378333775007650071000700006683367267683336853366722676116396665500
801월■ 콩 (국산 백태 1kg)111301113096551036785838417948494849706964791209120114931149396129612863087558550855093179303826782671247511275700070001021098031059310527112331156787768776
901월■ 찹쌀 (국산 일반찹쌀 1kg)598458845155524448874887547254724879499255135787533053054995514548604660569356935952595262206220568359675350535055755435501052255209520945584625
구분품목춘천시전월가격(춘천시)원주시전월가격(원주시)강릉시전월가격(강릉시)동해시전월가격(동해시)태백시전월가격(태백시)속초시전월가격(속초시)삼척시전월가격(삼척시)홍천군전월가격(홍천군)횡성군전월가격(횡성군)영월군전월가격(영월군)평창군전월가격(평창군)정선군전월가격(정선군)철원군전월가격(철원군)화천군전월가격(화천군)양구군전월가격(양구군)인제군전월가격(인제군)고성군전월가격(고성군)양양군전월가격(양양군)
138212월■ 세탁료 (신사복 1벌)89258925750075008333833386008600130001300010000100001150011500875087509000900093339333106671000010500105008667800075007500933393339000900010000966780008000
138312월■ 의복수선료 (하의길이 수선)380038004000400038333833340034003000300040004000325032503750375035003500466746675143457147504750466743334500450053335333425042503833350040004000
138412월■ 사진촬영료 (반명함판 칼라)1500015000110001100014167141671575015000150001500017500175001500015000182501825096259625133331333314000147501650016500166671666716500175001100011000133331333313000130001500015000
138512월■ PC방 (1시간)110011001100110014331433150015001200120010001000136713672100210013501350160016001667183312671267140014001550155015331533170017001383138915001500
138612월■ 유선방송수신료 (1개월)990099008800880066006600600060006600660015400154001189511895597571005133513374677467108671153396009600550055008300990077007700816781674000400088008800
138712월■ 찜질방 (성인 1회)8000800010000100009500875083338250800080001250012500102501025096679667700070001300013000110001100010000900055005500933393331000010000100001000090009000
138812월■ 외래진료비 (내과 기본진찰)440044005000500047504750680068004800480030003000477547754125412541674167590059004300438038503850530053004850510042674267413341334766476647674767
138912월■ 택배 (무게 20kg이하)700070008050805065006500950095005000500060006000600060005625550052505250600060005500550060006000516751675500550080008000512550005500550060006000
139012월■ 공동주택 관리비 (82.65㎡, 10년식 이하)673746737479579768801447121447121300001300001033309762095500955004333343333133070133070880008800040000400008625086250103000103000100000100000100000100000119410119410550005500070000700007876378763
139112월■ 전세 (82.65㎡, 10년식 이하)18000000018000000018500000018000000022500000022500000050000000500000008000000080000000295000000295000000900000009000000013250000013333333365000000650000005000000050000000450000004500000050000000500000001500000001500000008000000080000000600000006000000036464767575000007073333370733333