Overview

Dataset statistics

Number of variables12
Number of observations25
Missing cells10
Missing cells (%)3.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory111.3 B

Variable types

Text1
Numeric9
Categorical2

Dataset

Description대구광역시 달서구에서 반려동물 등록을 집계한 데이터입니다.(법정동, 등록수, RFID종류별, 소유자관련 등)
Author대구광역시 달서구
URLhttps://www.data.go.kr/data/15111487/fileData.do

Alerts

데이터기준일자 is highly overall correlated with 등록동물수 and 9 other fieldsHigh correlation
기타등록 is highly overall correlated with 인식표(RFID) and 2 other fieldsHigh correlation
등록동물수 is highly overall correlated with 시군구등록 and 7 other fieldsHigh correlation
시군구등록 is highly overall correlated with 등록동물수 and 7 other fieldsHigh correlation
대행업체등록 is highly overall correlated with 등록동물수 and 7 other fieldsHigh correlation
내장형(RFID) is highly overall correlated with 등록동물수 and 7 other fieldsHigh correlation
외장형(RFID) is highly overall correlated with 등록동물수 and 7 other fieldsHigh correlation
인식표(RFID) is highly overall correlated with 등록동물수 and 8 other fieldsHigh correlation
등록품종수 is highly overall correlated with 등록동물수 and 7 other fieldsHigh correlation
등록소유자수 is highly overall correlated with 등록동물수 and 9 other fieldsHigh correlation
동물소유자당등록동물수 is highly overall correlated with 등록소유자수 and 1 other fieldsHigh correlation
기타등록 is highly imbalanced (52.4%)Imbalance
데이터기준일자 is highly imbalanced (75.8%)Imbalance
법정동 has 1 (4.0%) missing valuesMissing
등록동물수 has 1 (4.0%) missing valuesMissing
시군구등록 has 1 (4.0%) missing valuesMissing
대행업체등록 has 1 (4.0%) missing valuesMissing
내장형(RFID) has 1 (4.0%) missing valuesMissing
외장형(RFID) has 1 (4.0%) missing valuesMissing
인식표(RFID) has 1 (4.0%) missing valuesMissing
등록품종수 has 1 (4.0%) missing valuesMissing
등록소유자수 has 1 (4.0%) missing valuesMissing
동물소유자당등록동물수 has 1 (4.0%) missing valuesMissing
시군구등록 has 4 (16.0%) zerosZeros
인식표(RFID) has 1 (4.0%) zerosZeros

Reproduction

Analysis started2024-01-06 13:10:51.029570
Analysis finished2024-01-06 13:11:20.765345
Duration29.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

법정동
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing1
Missing (%)4.0%
Memory size332.0 B
2024-01-06T13:11:21.001790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9166667
Min length2

Characters and Unicode

Total characters70
Distinct characters34
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row본동
2nd row장동
3rd row갈산동
4th row감삼동
5th row대곡동
ValueCountFrequency (%)
본동 1
 
4.2%
장동 1
 
4.2%
호림동 1
 
4.2%
파호동 1
 
4.2%
진천동 1
 
4.2%
죽전동 1
 
4.2%
장기동 1
 
4.2%
이곡동 1
 
4.2%
유천동 1
 
4.2%
월암동 1
 
4.2%
Other values (14) 14
58.3%
2024-01-06T13:11:21.981038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
34.3%
3
 
4.3%
3
 
4.3%
3
 
4.3%
2
 
2.9%
2
 
2.9%
2
 
2.9%
2
 
2.9%
2
 
2.9%
2
 
2.9%
Other values (24) 25
35.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
24
34.3%
3
 
4.3%
3
 
4.3%
3
 
4.3%
2
 
2.9%
2
 
2.9%
2
 
2.9%
2
 
2.9%
2
 
2.9%
2
 
2.9%
Other values (24) 25
35.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
24
34.3%
3
 
4.3%
3
 
4.3%
3
 
4.3%
2
 
2.9%
2
 
2.9%
2
 
2.9%
2
 
2.9%
2
 
2.9%
2
 
2.9%
Other values (24) 25
35.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
24
34.3%
3
 
4.3%
3
 
4.3%
3
 
4.3%
2
 
2.9%
2
 
2.9%
2
 
2.9%
2
 
2.9%
2
 
2.9%
2
 
2.9%
Other values (24) 25
35.7%

등록동물수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct24
Distinct (%)100.0%
Missing1
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean1396.5417
Minimum7
Maximum4103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-01-06T13:11:22.440466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile21.25
Q1491.5
median1201.5
Q31991
95-th percentile3075.2
Maximum4103
Range4096
Interquartile range (IQR)1499.5

Descriptive statistics

Standard deviation1109.581
Coefficient of variation (CV)0.79452051
Kurtosis-0.026403603
Mean1396.5417
Median Absolute Deviation (MAD)752.5
Skewness0.68688798
Sum33517
Variance1231170
MonotonicityNot monotonic
2024-01-06T13:11:22.949391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
983 1
 
4.0%
3077 1
 
4.0%
509 1
 
4.0%
7 1
 
4.0%
439 1
 
4.0%
1889 1
 
4.0%
669 1
 
4.0%
944 1
 
4.0%
2132 1
 
4.0%
1029 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
7 1
4.0%
19 1
4.0%
34 1
4.0%
39 1
4.0%
369 1
4.0%
439 1
4.0%
509 1
4.0%
669 1
4.0%
944 1
4.0%
983 1
4.0%
ValueCountFrequency (%)
4103 1
4.0%
3077 1
4.0%
3065 1
4.0%
2815 1
4.0%
2236 1
4.0%
2132 1
4.0%
1944 1
4.0%
1889 1
4.0%
1741 1
4.0%
1614 1
4.0%

시군구등록
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct17
Distinct (%)70.8%
Missing1
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean12.708333
Minimum0
Maximum44
Zeros4
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-01-06T13:11:23.315762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.75
median9
Q318.25
95-th percentile32.7
Maximum44
Range44
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation11.292472
Coefficient of variation (CV)0.88858797
Kurtosis1.331875
Mean12.708333
Median Absolute Deviation (MAD)7
Skewness1.1898403
Sum305
Variance127.51993
MonotonicityNot monotonic
2024-01-06T13:11:23.673489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 4
16.0%
6 2
 
8.0%
7 2
 
8.0%
8 2
 
8.0%
19 2
 
8.0%
15 1
 
4.0%
31 1
 
4.0%
5 1
 
4.0%
14 1
 
4.0%
10 1
 
4.0%
Other values (7) 7
28.0%
ValueCountFrequency (%)
0 4
16.0%
4 1
 
4.0%
5 1
 
4.0%
6 2
8.0%
7 2
8.0%
8 2
8.0%
10 1
 
4.0%
12 1
 
4.0%
14 1
 
4.0%
15 1
 
4.0%
ValueCountFrequency (%)
44 1
4.0%
33 1
4.0%
31 1
4.0%
22 1
4.0%
19 2
8.0%
18 1
4.0%
17 1
4.0%
15 1
4.0%
14 1
4.0%
12 1
4.0%

대행업체등록
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct23
Distinct (%)95.8%
Missing1
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean1383.5417
Minimum7
Maximum4059
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-01-06T13:11:24.045473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile21.25
Q1486
median1187.5
Q31975.75
95-th percentile3046
Maximum4059
Range4052
Interquartile range (IQR)1489.75

Descriptive statistics

Standard deviation1099.6308
Coefficient of variation (CV)0.79479417
Kurtosis-0.045151305
Mean1383.5417
Median Absolute Deviation (MAD)749
Skewness0.68226045
Sum33205
Variance1209188
MonotonicityNot monotonic
2024-01-06T13:11:24.429811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
3046 2
 
8.0%
968 1
 
4.0%
19 1
 
4.0%
504 1
 
4.0%
7 1
 
4.0%
432 1
 
4.0%
1875 1
 
4.0%
661 1
 
4.0%
936 1
 
4.0%
2113 1
 
4.0%
Other values (13) 13
52.0%
ValueCountFrequency (%)
7 1
4.0%
19 1
4.0%
34 1
4.0%
39 1
4.0%
362 1
4.0%
432 1
4.0%
504 1
4.0%
661 1
4.0%
936 1
4.0%
968 1
4.0%
ValueCountFrequency (%)
4059 1
4.0%
3046 2
8.0%
2779 1
4.0%
2229 1
4.0%
2113 1
4.0%
1930 1
4.0%
1875 1
4.0%
1724 1
4.0%
1595 1
4.0%
1453 1
4.0%

기타등록
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
20 
1
 
2
2
 
1
3
 
1
<NA>
 
1

Length

Max length4
Median length1
Mean length1.12
Min length1

Unique

Unique3 ?
Unique (%)12.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 20
80.0%
1 2
 
8.0%
2 1
 
4.0%
3 1
 
4.0%
<NA> 1
 
4.0%

Length

2024-01-06T13:11:25.041958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-06T13:11:25.383699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 20
80.0%
1 2
 
8.0%
2 1
 
4.0%
3 1
 
4.0%
na 1
 
4.0%

내장형(RFID)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct24
Distinct (%)100.0%
Missing1
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean506.25
Minimum1
Maximum1389
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-01-06T13:11:25.876254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.45
Q1182.5
median450.5
Q3725.25
95-th percentile1165.25
Maximum1389
Range1388
Interquartile range (IQR)542.75

Descriptive statistics

Standard deviation392.64668
Coefficient of variation (CV)0.77559837
Kurtosis-0.33337858
Mean506.25
Median Absolute Deviation (MAD)275
Skewness0.5614336
Sum12150
Variance154171.41
MonotonicityNot monotonic
2024-01-06T13:11:26.245997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
374 1
 
4.0%
989 1
 
4.0%
199 1
 
4.0%
1 1
 
4.0%
133 1
 
4.0%
693 1
 
4.0%
244 1
 
4.0%
345 1
 
4.0%
726 1
 
4.0%
430 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
1 1
4.0%
8 1
4.0%
11 1
4.0%
15 1
4.0%
128 1
4.0%
133 1
4.0%
199 1
4.0%
244 1
4.0%
345 1
4.0%
374 1
4.0%
ValueCountFrequency (%)
1389 1
4.0%
1175 1
4.0%
1110 1
4.0%
989 1
4.0%
776 1
4.0%
726 1
4.0%
725 1
4.0%
693 1
4.0%
628 1
4.0%
610 1
4.0%

외장형(RFID)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct24
Distinct (%)100.0%
Missing1
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean748.375
Minimum5
Maximum2071
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-01-06T13:11:26.616458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile10.2
Q1271
median657.5
Q31043.5
95-th percentile1777.9
Maximum2071
Range2066
Interquartile range (IQR)772.5

Descriptive statistics

Standard deviation588.02675
Coefficient of variation (CV)0.7857381
Kurtosis-0.24207446
Mean748.375
Median Absolute Deviation (MAD)390.5
Skewness0.64553365
Sum17961
Variance345775.46
MonotonicityNot monotonic
2024-01-06T13:11:27.058884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
522 1
 
4.0%
1786 1
 
4.0%
275 1
 
4.0%
5 1
 
4.0%
259 1
 
4.0%
1010 1
 
4.0%
385 1
 
4.0%
534 1
 
4.0%
1144 1
 
4.0%
528 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
5 1
4.0%
9 1
4.0%
17 1
4.0%
24 1
4.0%
204 1
4.0%
259 1
4.0%
275 1
4.0%
385 1
4.0%
522 1
4.0%
528 1
4.0%
ValueCountFrequency (%)
2071 1
4.0%
1786 1
4.0%
1732 1
4.0%
1307 1
4.0%
1292 1
4.0%
1144 1
4.0%
1010 1
4.0%
1001 1
4.0%
941 1
4.0%
832 1
4.0%

인식표(RFID)
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct24
Distinct (%)100.0%
Missing1
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean141.91667
Minimum0
Maximum643
Zeros1
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-01-06T13:11:27.935382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.15
Q139.25
median83
Q3219.25
95-th percentile328.35
Maximum643
Range643
Interquartile range (IQR)180

Descriptive statistics

Standard deviation147.11484
Coefficient of variation (CV)1.0366283
Kurtosis4.7031438
Mean141.91667
Median Absolute Deviation (MAD)81.5
Skewness1.8446413
Sum3406
Variance21642.775
MonotonicityNot monotonic
2024-01-06T13:11:28.397645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
87 1
 
4.0%
302 1
 
4.0%
35 1
 
4.0%
1 1
 
4.0%
47 1
 
4.0%
186 1
 
4.0%
40 1
 
4.0%
65 1
 
4.0%
262 1
 
4.0%
71 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
0 1
4.0%
1 1
4.0%
2 1
4.0%
6 1
4.0%
35 1
4.0%
37 1
4.0%
40 1
4.0%
47 1
4.0%
64 1
4.0%
65 1
4.0%
ValueCountFrequency (%)
643 1
4.0%
333 1
4.0%
302 1
4.0%
262 1
4.0%
242 1
4.0%
223 1
4.0%
218 1
4.0%
186 1
4.0%
172 1
4.0%
168 1
4.0%

등록품종수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct21
Distinct (%)87.5%
Missing1
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean50.666667
Minimum5
Maximum82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-01-06T13:11:28.788702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile10.3
Q144
median54
Q364
95-th percentile79.65
Maximum82
Range77
Interquartile range (IQR)20

Descriptive statistics

Standard deviation21.521812
Coefficient of variation (CV)0.42477261
Kurtosis0.045428003
Mean50.666667
Median Absolute Deviation (MAD)10
Skewness-0.82060125
Sum1216
Variance463.18841
MonotonicityNot monotonic
2024-01-06T13:11:29.131108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
64 3
 
12.0%
54 2
 
8.0%
45 1
 
4.0%
48 1
 
4.0%
5 1
 
4.0%
38 1
 
4.0%
47 1
 
4.0%
53 1
 
4.0%
12 1
 
4.0%
63 1
 
4.0%
Other values (11) 11
44.0%
ValueCountFrequency (%)
5 1
4.0%
10 1
4.0%
12 1
4.0%
16 1
4.0%
38 1
4.0%
41 1
4.0%
45 1
4.0%
47 1
4.0%
48 1
4.0%
49 1
4.0%
ValueCountFrequency (%)
82 1
 
4.0%
81 1
 
4.0%
72 1
 
4.0%
71 1
 
4.0%
69 1
 
4.0%
64 3
12.0%
63 1
 
4.0%
59 1
 
4.0%
55 1
 
4.0%
54 2
8.0%

등록소유자수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct24
Distinct (%)100.0%
Missing1
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean1086.0417
Minimum5
Maximum3252
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-01-06T13:11:29.731945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile15.65
Q1366
median919.5
Q31594.75
95-th percentile2469.95
Maximum3252
Range3247
Interquartile range (IQR)1228.75

Descriptive statistics

Standard deviation877.11193
Coefficient of variation (CV)0.80762273
Kurtosis0.080124264
Mean1086.0417
Median Absolute Deviation (MAD)607
Skewness0.74078438
Sum26065
Variance769325.35
MonotonicityNot monotonic
2024-01-06T13:11:30.274859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
705 1
 
4.0%
2477 1
 
4.0%
377 1
 
4.0%
5 1
 
4.0%
333 1
 
4.0%
1488 1
 
4.0%
500 1
 
4.0%
748 1
 
4.0%
1730 1
 
4.0%
833 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
5 1
4.0%
14 1
4.0%
25 1
4.0%
27 1
4.0%
292 1
4.0%
333 1
4.0%
377 1
4.0%
500 1
4.0%
705 1
4.0%
748 1
4.0%
ValueCountFrequency (%)
3252 1
4.0%
2477 1
4.0%
2430 1
4.0%
2114 1
4.0%
1730 1
4.0%
1672 1
4.0%
1569 1
4.0%
1488 1
4.0%
1284 1
4.0%
1232 1
4.0%

동물소유자당등록동물수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct15
Distinct (%)62.5%
Missing1
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean1.3120833
Minimum1.23
Maximum1.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-01-06T13:11:30.970975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.23
5-th percentile1.24
Q11.26
median1.305
Q31.3425
95-th percentile1.3985
Maximum1.56
Range0.33
Interquartile range (IQR)0.0825

Descriptive statistics

Standard deviation0.072949009
Coefficient of variation (CV)0.055597848
Kurtosis4.6515982
Mean1.3120833
Median Absolute Deviation (MAD)0.045
Skewness1.7383633
Sum31.49
Variance0.005321558
MonotonicityNot monotonic
2024-01-06T13:11:31.496875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1.26 5
20.0%
1.24 3
12.0%
1.36 2
 
8.0%
1.34 2
 
8.0%
1.33 2
 
8.0%
1.39 1
 
4.0%
1.56 1
 
4.0%
1.28 1
 
4.0%
1.3 1
 
4.0%
1.31 1
 
4.0%
Other values (5) 5
20.0%
ValueCountFrequency (%)
1.23 1
 
4.0%
1.24 3
12.0%
1.26 5
20.0%
1.27 1
 
4.0%
1.28 1
 
4.0%
1.3 1
 
4.0%
1.31 1
 
4.0%
1.32 1
 
4.0%
1.33 2
 
8.0%
1.34 2
 
8.0%
ValueCountFrequency (%)
1.56 1
4.0%
1.4 1
4.0%
1.39 1
4.0%
1.36 2
8.0%
1.35 1
4.0%
1.34 2
8.0%
1.33 2
8.0%
1.32 1
4.0%
1.31 1
4.0%
1.3 1
4.0%

데이터기준일자
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-28
24 
<NA>
 
1

Length

Max length10
Median length10
Mean length9.76
Min length4

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st row2023-12-28
2nd row2023-12-28
3rd row2023-12-28
4th row2023-12-28
5th row2023-12-28

Common Values

ValueCountFrequency (%)
2023-12-28 24
96.0%
<NA> 1
 
4.0%

Length

2024-01-06T13:11:31.984468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-06T13:11:32.304459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-28 24
96.0%
na 1
 
4.0%

Interactions

2024-01-06T13:11:16.093487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-06T13:10:52.035126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-06T13:10:55.347345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-06T13:10:58.594475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-06T13:11:01.807494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-06T13:11:04.713461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-06T13:11:07.596325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-06T13:11:10.589540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-06T13:11:13.265574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-06T13:11:16.380571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-06T13:10:52.329560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-06T13:10:55.725677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-06T13:10:58.969908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-06T13:11:02.119265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/