Overview

Dataset statistics

Number of variables6
Number of observations417
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.7 KiB
Average record size in memory48.3 B

Variable types

Text5
DateTime1

Dataset

Description부산광역시남구진단용방사선발생장치현황_20210526
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15051588

Alerts

제조번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:24:36.605899
Analysis finished2023-12-10 16:24:37.381188
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct186
Distinct (%)44.6%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-11T01:24:37.617422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length9.3045564
Min length4

Characters and Unicode

Total characters3880
Distinct characters240
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)10.6%

Sample

1st row부산미래아이에프씨의원
2nd row부산미래아이에프씨의원
3rd row부산미래아이에프씨의원
4th row부산미래아이에프씨의원
5th row부산미래아이에프씨의원
ValueCountFrequency (%)
의원 39
 
7.8%
의료법인고려의료재단부산고려병원 16
 
3.2%
부산성모병원(재단법인 15
 
3.0%
천주교부산교구유지재단 15
 
3.0%
사)대한결핵협회부산광역시지부 11
 
2.2%
복십자의원 11
 
2.2%
치과의원 10
 
2.0%
부산미래아이에프씨의원 7
 
1.4%
부산성소병원 7
 
1.4%
선한이웃치과의원 5
 
1.0%
Other values (185) 366
72.9%
2023-12-11T01:24:38.216416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
420
 
10.8%
413
 
10.6%
341
 
8.8%
239
 
6.2%
120
 
3.1%
85
 
2.2%
84
 
2.2%
60
 
1.5%
60
 
1.5%
58
 
1.5%
Other values (230) 2000
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3709
95.6%
Space Separator 85
 
2.2%
Open Punctuation 29
 
0.7%
Close Punctuation 29
 
0.7%
Decimal Number 14
 
0.4%
Uppercase Letter 6
 
0.2%
Other Punctuation 6
 
0.2%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
420
 
11.3%
413
 
11.1%
341
 
9.2%
239
 
6.4%
120
 
3.2%
84
 
2.3%
60
 
1.6%
60
 
1.6%
58
 
1.6%
53
 
1.4%
Other values (216) 1861
50.2%
Decimal Number
ValueCountFrequency (%)
4 4
28.6%
5 4
28.6%
0 2
14.3%
6 2
14.3%
3 2
14.3%
Uppercase Letter
ValueCountFrequency (%)
W 4
66.7%
H 1
 
16.7%
B 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
. 3
50.0%
, 3
50.0%
Space Separator
ValueCountFrequency (%)
85
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3709
95.6%
Common 163
 
4.2%
Latin 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
420
 
11.3%
413
 
11.1%
341
 
9.2%
239
 
6.4%
120
 
3.2%
84
 
2.3%
60
 
1.6%
60
 
1.6%
58
 
1.6%
53
 
1.4%
Other values (216) 1861
50.2%
Common
ValueCountFrequency (%)
85
52.1%
( 29
 
17.8%
) 29
 
17.8%
4 4
 
2.5%
5 4
 
2.5%
. 3
 
1.8%
, 3
 
1.8%
0 2
 
1.2%
6 2
 
1.2%
3 2
 
1.2%
Latin
ValueCountFrequency (%)
W 4
50.0%
e 2
25.0%
H 1
 
12.5%
B 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3709
95.6%
ASCII 171
 
4.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
420
 
11.3%
413
 
11.1%
341
 
9.2%
239
 
6.4%
120
 
3.2%
84
 
2.3%
60
 
1.6%
60
 
1.6%
58
 
1.6%
53
 
1.4%
Other values (216) 1861
50.2%
ASCII
ValueCountFrequency (%)
85
49.7%
( 29
 
17.0%
) 29
 
17.0%
4 4
 
2.3%
W 4
 
2.3%
5 4
 
2.3%
. 3
 
1.8%
, 3
 
1.8%
0 2
 
1.2%
6 2
 
1.2%
Other values (4) 6
 
3.5%
Distinct184
Distinct (%)44.1%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-11T01:24:38.651649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length47
Mean length28.925659
Min length20

Characters and Unicode

Total characters12062
Distinct characters171
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)10.3%

Sample

1st row부산광역시 남구 전포대로 133, 3,4층일부층 (문현동)
2nd row부산광역시 남구 전포대로 133, 3,4층일부층 (문현동)
3rd row부산광역시 남구 전포대로 133, 3,4층일부층 (문현동)
4th row부산광역시 남구 전포대로 133, 3,4층일부층 (문현동)
5th row부산광역시 남구 전포대로 133, 3,4층일부층 (문현동)
ValueCountFrequency (%)
부산광역시 417
16.4%
남구 417
16.4%
대연동 216
 
8.5%
수영로 192
 
7.6%
용호동 115
 
4.5%
용호로 65
 
2.6%
문현동 56
 
2.2%
2층 47
 
1.9%
3층 41
 
1.6%
분포로 23
 
0.9%
Other values (283) 951
37.4%
2023-12-11T01:24:39.202261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2126
 
17.6%
462
 
3.8%
438
 
3.6%
433
 
3.6%
429
 
3.6%
424
 
3.5%
422
 
3.5%
( 420
 
3.5%
) 420
 
3.5%
417
 
3.5%
Other values (161) 6071
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6732
55.8%
Space Separator 2126
 
17.6%
Decimal Number 1854
 
15.4%
Open Punctuation 420
 
3.5%
Close Punctuation 420
 
3.5%
Other Punctuation 382
 
3.2%
Uppercase Letter 62
 
0.5%
Dash Punctuation 51
 
0.4%
Lowercase Letter 8
 
0.1%
Math Symbol 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
462
 
6.9%
438
 
6.5%
433
 
6.4%
429
 
6.4%
424
 
6.3%
422
 
6.3%
417
 
6.2%
417
 
6.2%
417
 
6.2%
294
 
4.4%
Other values (128) 2579
38.3%
Uppercase Letter
ValueCountFrequency (%)
S 11
17.7%
G 11
17.7%
M 9
14.5%
B 7
11.3%
A 4
 
6.5%
I 4
 
6.5%
C 2
 
3.2%
W 2
 
3.2%
K 2
 
3.2%
V 2
 
3.2%
Other values (4) 8
12.9%
Decimal Number
ValueCountFrequency (%)
2 366
19.7%
1 326
17.6%
3 274
14.8%
0 191
10.3%
4 174
9.4%
5 153
8.3%
9 103
 
5.6%
7 98
 
5.3%
6 88
 
4.7%
8 81
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
l 4
50.0%
i 2
25.0%
s 2
25.0%
Space Separator
ValueCountFrequency (%)
2126
100.0%
Open Punctuation
ValueCountFrequency (%)
( 420
100.0%
Close Punctuation
ValueCountFrequency (%)
) 420
100.0%
Other Punctuation
ValueCountFrequency (%)
, 382
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6732
55.8%
Common 5260
43.6%
Latin 70
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
462
 
6.9%
438
 
6.5%
433
 
6.4%
429
 
6.4%
424
 
6.3%
422
 
6.3%
417
 
6.2%
417
 
6.2%
417
 
6.2%
294
 
4.4%
Other values (128) 2579
38.3%
Latin
ValueCountFrequency (%)
S 11
15.7%
G 11
15.7%
M 9
12.9%
B 7
10.0%
A 4
 
5.7%
I 4
 
5.7%
l 4
 
5.7%
C 2
 
2.9%
W 2
 
2.9%
K 2
 
2.9%
Other values (7) 14
20.0%
Common
ValueCountFrequency (%)
2126
40.4%
( 420
 
8.0%
) 420
 
8.0%
, 382
 
7.3%
2 366
 
7.0%
1 326
 
6.2%
3 274
 
5.2%
0 191
 
3.6%
4 174
 
3.3%
5 153
 
2.9%
Other values (6) 428
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6732
55.8%
ASCII 5330
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2126
39.9%
( 420
 
7.9%
) 420
 
7.9%
, 382
 
7.2%
2 366
 
6.9%
1 326
 
6.1%
3 274
 
5.1%
0 191
 
3.6%
4 174
 
3.3%
5 153
 
2.9%
Other values (23) 498
 
9.3%
Hangul
ValueCountFrequency (%)
462
 
6.9%
438
 
6.5%
433
 
6.4%
429
 
6.4%
424
 
6.3%
422
 
6.3%
417
 
6.2%
417
 
6.2%
417
 
6.2%
294
 
4.4%
Other values (128) 2579
38.3%
Distinct188
Distinct (%)45.1%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-11T01:24:39.884791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length39
Mean length9.7865707
Min length3

Characters and Unicode

Total characters4081
Distinct characters79
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)27.3%

Sample

1st rowSelenia Dimensions universal
2nd rowTOSHIBA SCANNER Aquilion MODEL TSX-101A
3rd rowAlpha ST
4th rowDiscovery Ci
5th rowLX 32
ValueCountFrequency (%)
point 20
 
3.2%
3d 20
 
3.2%
combi 17
 
2.7%
vex-p300 14
 
2.2%
pht-35lhs 13
 
2.1%
pht-30lfo 12
 
1.9%
max-gls 12
 
1.9%
dexxum 11
 
1.8%
t 11
 
1.8%
zeus 9
 
1.4%
Other values (237) 489
77.9%
2023-12-11T01:24:40.423730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 300
 
7.4%
- 266
 
6.5%
211
 
5.2%
X 194
 
4.8%
S 165
 
4.0%
P 157
 
3.8%
D 139
 
3.4%
E 130
 
3.2%
o 126
 
3.1%
5 126
 
3.1%
Other values (69) 2267
55.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1910
46.8%
Lowercase Letter 926
22.7%
Decimal Number 719
 
17.6%
Dash Punctuation 266
 
6.5%
Space Separator 211
 
5.2%
Other Letter 18
 
0.4%
Other Punctuation 8
 
0.2%
Open Punctuation 7
 
0.2%
Close Punctuation 7
 
0.2%
Letter Number 5
 
0.1%
Other values (2) 4
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
X 194
 
10.2%
S 165
 
8.6%
P 157
 
8.2%
D 139
 
7.3%
E 130
 
6.8%
R 125
 
6.5%
T 113
 
5.9%
A 106
 
5.5%
O 93
 
4.9%
I 89
 
4.7%
Other values (16) 599
31.4%
Lowercase Letter
ValueCountFrequency (%)
o 126
13.6%
i 118
12.7%
a 78
 
8.4%
e 66
 
7.1%
n 60
 
6.5%
r 59
 
6.4%
m 58
 
6.3%
t 52
 
5.6%
s 49
 
5.3%
c 42
 
4.5%
Other values (15) 218
23.5%
Decimal Number
ValueCountFrequency (%)
0 300
41.7%
5 126
17.5%
3 100
 
13.9%
2 70
 
9.7%
1 56
 
7.8%
6 25
 
3.5%
4 17
 
2.4%
8 10
 
1.4%
9 8
 
1.1%
7 7
 
1.0%
Other Letter
ValueCountFrequency (%)
5
27.8%
5
27.8%
5
27.8%
1
 
5.6%
1
 
5.6%
1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
/ 4
50.0%
. 2
25.0%
& 1
 
12.5%
, 1
 
12.5%
Letter Number
ValueCountFrequency (%)
4
80.0%
1
 
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 266
100.0%
Space Separator
ValueCountFrequency (%)
211
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2840
69.6%
Common 1222
29.9%
Hangul 18
 
0.4%
Greek 1
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
X 194
 
6.8%
S 165
 
5.8%
P 157
 
5.5%
D 139
 
4.9%
E 130
 
4.6%
o 126
 
4.4%
R 125
 
4.4%
i 118
 
4.2%
T 113
 
4.0%
A 106
 
3.7%
Other values (42) 1467
51.7%
Common
ValueCountFrequency (%)
0 300
24.5%
- 266
21.8%
211
17.3%
5 126
10.3%
3 100
 
8.2%
2 70
 
5.7%
1 56
 
4.6%
6 25
 
2.0%
4 17
 
1.4%
8 10
 
0.8%
Other values (10) 41
 
3.4%
Hangul
ValueCountFrequency (%)
5
27.8%
5
27.8%
5
27.8%
1
 
5.6%
1
 
5.6%
1
 
5.6%
Greek
ValueCountFrequency (%)
α 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4056
99.4%
Hangul 18
 
0.4%
Number Forms 5
 
0.1%
None 1
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 300
 
7.4%
- 266
 
6.6%
211
 
5.2%
X 194
 
4.8%
S 165
 
4.1%
P 157
 
3.9%
D 139
 
3.4%
E 130
 
3.2%
o 126
 
3.1%
5 126
 
3.1%
Other values (59) 2242
55.3%
Hangul
ValueCountFrequency (%)
5
27.8%
5
27.8%
5
27.8%
1
 
5.6%
1
 
5.6%
1
 
5.6%
Number Forms
ValueCountFrequency (%)
4
80.0%
1
 
20.0%
None
ValueCountFrequency (%)
α 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%
Distinct136
Distinct (%)32.6%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-11T01:24:40.703502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length24
Mean length10.321343
Min length6

Characters and Unicode

Total characters4304
Distinct characters27
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)17.5%

Sample

1st rowMHR-200-49
2nd rowWCT-500-135
3rd rowMHR-100-35
4th rowBHR-10-140
5th rowR-500-125
ValueCountFrequency (%)
r-500-125 34
 
8.2%
hr-2-70 19
 
4.6%
d-10-60 18
 
4.3%
hr-60-p 15
 
3.6%
hr-2-60 15
 
3.6%
r-630-150 14
 
3.4%
cbct(p)-16-99 14
 
3.4%
cbct(p)-10-90 10
 
2.4%
cbct(pc)-16-99 9
 
2.2%
hr-2.5-60 8
 
1.9%
Other values (126) 261
62.6%
2023-12-11T01:24:41.136264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 916
21.3%
0 634
14.7%
1 385
 
8.9%
R 266
 
6.2%
5 221
 
5.1%
C 207
 
4.8%
P 197
 
4.6%
6 188
 
4.4%
H 168
 
3.9%
2 156
 
3.6%
Other values (17) 966
22.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1912
44.4%
Uppercase Letter 1221
28.4%
Dash Punctuation 916
21.3%
Close Punctuation 113
 
2.6%
Open Punctuation 113
 
2.6%
Other Punctuation 29
 
0.7%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
R 266
21.8%
C 207
17.0%
P 197
16.1%
H 168
13.8%
B 107
8.8%
T 100
 
8.2%
D 98
 
8.0%
F 53
 
4.3%
M 14
 
1.1%
W 6
 
0.5%
Other values (3) 5
 
0.4%
Decimal Number
ValueCountFrequency (%)
0 634
33.2%
1 385
20.1%
5 221
 
11.6%
6 188
 
9.8%
2 156
 
8.2%
9 134
 
7.0%
3 81
 
4.2%
8 43
 
2.2%
7 42
 
2.2%
4 28
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 916
100.0%
Close Punctuation
ValueCountFrequency (%)
) 113
100.0%
Open Punctuation
ValueCountFrequency (%)
( 113
100.0%
Other Punctuation
ValueCountFrequency (%)
. 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3083
71.6%
Latin 1221
 
28.4%

Most frequent character per script

Common
ValueCountFrequency (%)
- 916
29.7%
0 634
20.6%
1 385
12.5%
5 221
 
7.2%
6 188
 
6.1%
2 156
 
5.1%
9 134
 
4.3%
) 113
 
3.7%
( 113
 
3.7%
3 81
 
2.6%
Other values (4) 142
 
4.6%
Latin
ValueCountFrequency (%)
R 266
21.8%
C 207
17.0%
P 197
16.1%
H 168
13.8%
B 107
8.8%
T 100
 
8.2%
D 98
 
8.0%
F 53
 
4.3%
M 14
 
1.1%
W 6
 
0.5%
Other values (3) 5
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4304
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 916
21.3%
0 634
14.7%
1 385
 
8.9%
R 266
 
6.2%
5 221
 
5.1%
C 207
 
4.8%
P 197
 
4.6%
6 188
 
4.4%
H 168
 
3.9%
2 156
 
3.6%
Other values (17) 966
22.4%

제조번호
Text

UNIQUE 

Distinct417
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-11T01:24:41.499104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length9.7865707
Min length2

Characters and Unicode

Total characters4081
Distinct characters49
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique417 ?
Unique (%)100.0%

Sample

1st rowSDM131800678
2nd rowNAA10X2243
3rd row15541
4th row304544M
5th row21-0056
ValueCountFrequency (%)
ah1ff 2
 
0.5%
dt 2
 
0.5%
sdm131800678 1
 
0.2%
4.21e+11 1
 
0.2%
bioxt81jafb-2612-0095 1
 
0.2%
052-0081 1
 
0.2%
jl16-h10l0183 1
 
0.2%
ah1fa1210038 1
 
0.2%
gxd-1216 1
 
0.2%
052-0238 1
 
0.2%
Other values (412) 412
97.2%
2023-12-11T01:24:41.996400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 738
18.1%
1 554
13.6%
2 301
 
7.4%
- 266
 
6.5%
3 197
 
4.8%
6 190
 
4.7%
5 184
 
4.5%
7 160
 
3.9%
8 156
 
3.8%
4 153
 
3.7%
Other values (39) 1182
29.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2783
68.2%
Uppercase Letter 973
 
23.8%
Dash Punctuation 266
 
6.5%
Lowercase Letter 29
 
0.7%
Other Punctuation 12
 
0.3%
Math Symbol 11
 
0.3%
Space Separator 7
 
0.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 91
 
9.4%
D 78
 
8.0%
N 77
 
7.9%
P 68
 
7.0%
E 63
 
6.5%
B 61
 
6.3%
C 60
 
6.2%
X 54
 
5.5%
R 45
 
4.6%
G 42
 
4.3%
Other values (16) 334
34.3%
Decimal Number
ValueCountFrequency (%)
0 738
26.5%
1 554
19.9%
2 301
10.8%
3 197
 
7.1%
6 190
 
6.8%
5 184
 
6.6%
7 160
 
5.7%
8 156
 
5.6%
4 153
 
5.5%
9 150
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
c 9
31.0%
a 7
24.1%
m 6
20.7%
o 3
 
10.3%
f 1
 
3.4%
u 1
 
3.4%
r 1
 
3.4%
b 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 11
91.7%
& 1
 
8.3%
Dash Punctuation
ValueCountFrequency (%)
- 266
100.0%
Math Symbol
ValueCountFrequency (%)
+ 11
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3079
75.4%
Latin 1002
 
24.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 91
 
9.1%
D 78
 
7.8%
N 77
 
7.7%
P 68
 
6.8%
E 63
 
6.3%
B 61
 
6.1%
C 60
 
6.0%
X 54
 
5.4%
R 45
 
4.5%
G 42
 
4.2%
Other values (24) 363
36.2%
Common
ValueCountFrequency (%)
0 738
24.0%
1 554
18.0%
2 301
9.8%
- 266
 
8.6%
3 197
 
6.4%
6 190
 
6.2%
5 184
 
6.0%
7 160
 
5.2%
8 156
 
5.1%
4 153
 
5.0%
Other values (5) 180
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4081
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 738
18.1%
1 554
13.6%
2 301
 
7.4%
- 266
 
6.5%
3 197
 
4.8%
6 190
 
4.7%
5 184
 
4.5%
7 160
 
3.9%
8 156
 
3.8%
4 153
 
3.7%
Other values (39) 1182
29.0%
Distinct274
Distinct (%)65.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
Minimum2018-05-18 00:00:00
Maximum2021-05-29 00:00:00
2023-12-11T01:24:42.138015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:24:42.273718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Missing values

2023-12-11T01:24:37.158423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:24:37.317598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

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