Overview

Dataset statistics

Number of variables25
Number of observations10000
Missing cells30000
Missing cells (%)12.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 MiB
Average record size in memory222.0 B

Variable types

Numeric1
DateTime1
Categorical20
Unsupported3

Dataset

Description*web_dangerlane_risk*
Author해양수산부 국립해양조사원
URLhttps://www.data.go.kr/data/15067123/fileData.do

Alerts

point_a1 is highly imbalanced (53.7%)Imbalance
point_b1 is highly imbalanced (51.2%)Imbalance
a1_index is highly imbalanced (52.8%)Imbalance
b1_index is highly imbalanced (52.8%)Imbalance
point_a3 is highly imbalanced (58.5%)Imbalance
point_b3 is highly imbalanced (59.6%)Imbalance
a3_index is highly imbalanced (61.2%)Imbalance
b3_index is highly imbalanced (61.2%)Imbalance
point_e has 10000 (100.0%) missing valuesMissing
e_index has 10000 (100.0%) missing valuesMissing
model_id has 10000 (100.0%) missing valuesMissing
point_e is an unsupported type, check if it needs cleaning or further analysisUnsupported
e_index is an unsupported type, check if it needs cleaning or further analysisUnsupported
model_id is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 04:37:23.772503
Analysis finished2023-12-12 04:37:24.417043
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

st_id
Real number (ℝ)

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.8813
Minimum49
Maximum73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2023-12-12T13:37:24.523396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49
5-th percentile51
Q156
median62
Q368
95-th percentile72
Maximum73
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation6.7227323
Coefficient of variation (CV)0.10863916
Kurtosis-1.1822251
Mean61.8813
Median Absolute Deviation (MAD)6
Skewness-0.015886593
Sum618813
Variance45.19513
MonotonicityNot monotonic
2023-12-12T13:37:24.679252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
73 431
 
4.3%
61 431
 
4.3%
52 431
 
4.3%
53 431
 
4.3%
54 431
 
4.3%
55 431
 
4.3%
56 431
 
4.3%
57 431
 
4.3%
58 431
 
4.3%
59 431
 
4.3%
Other values (15) 5690
56.9%
ValueCountFrequency (%)
49 29
 
0.3%
50 172
 
1.7%
51 317
3.2%
52 431
4.3%
53 431
4.3%
54 431
4.3%
55 431
4.3%
56 431
4.3%
57 431
4.3%
58 431
4.3%
ValueCountFrequency (%)
73 431
4.3%
72 431
4.3%
71 431
4.3%
70 431
4.3%
69 431
4.3%
68 431
4.3%
67 431
4.3%
66 431
4.3%
65 431
4.3%
64 431
4.3%

pred_time
Date

Distinct605
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
Minimum2019-10-25 19:00:00
Maximum2019-11-19 23:00:00
2023-12-12T13:37:24.863330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:37:25.043131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

model_code
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
khoa_yeosu
1671 
khoa_geocha
1671 
khoa_hongdo
1671 
khoa_incoeon
1671 
khoa_mokpo
1671 

Length

Max length12
Median length11
Mean length10.6684
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowkhoa_yeosu
2nd rowkhoa_geocha
3rd rowkhoa_hongdo
4th rowkhoa_incoeon
5th rowkhoa_mokpo

Common Values

ValueCountFrequency (%)
khoa_yeosu 1671
16.7%
khoa_geocha 1671
16.7%
khoa_hongdo 1671
16.7%
khoa_incoeon 1671
16.7%
khoa_mokpo 1671
16.7%
khoa_busan 1645
16.4%

Length

2023-12-12T13:37:25.199066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:37:25.349454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
khoa_yeosu 1671
16.7%
khoa_geocha 1671
16.7%
khoa_hongdo 1671
16.7%
khoa_incoeon 1671
16.7%
khoa_mokpo 1671
16.7%
khoa_busan 1645
16.4%

point_a1
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
3
8270 
2
1594 
1
 
136

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row2
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 8270
82.7%
2 1594
 
15.9%
1 136
 
1.4%

Length

2023-12-12T13:37:25.487798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:37:25.590556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 8270
82.7%
2 1594
 
15.9%
1 136
 
1.4%

point_b1
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
3
8081 
2
1790 
1
 
129

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row2

Common Values

ValueCountFrequency (%)
3 8081
80.8%
2 1790
 
17.9%
1 129
 
1.3%

Length

2023-12-12T13:37:25.706272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:37:25.806752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 8081
80.8%
2 1790
 
17.9%
1 129
 
1.3%

point_c1
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
3
4694 
<NA>
3342 
2
1855 
1
 
109

Length

Max length4
Median length1
Mean length2.0026
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row2
3rd row<NA>
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 4694
46.9%
<NA> 3342
33.4%
2 1855
 
18.6%
1 109
 
1.1%

Length

2023-12-12T13:37:25.947594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:37:26.056319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 4694
46.9%
na 3342
33.4%
2 1855
 
18.6%
1 109
 
1.1%

point_d
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
<NA>
6684 
3
2732 
2
 
516
1
 
68

Length

Max length4
Median length4
Mean length3.0052
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row2
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 6684
66.8%
3 2732
27.3%
2 516
 
5.2%
1 68
 
0.7%

Length

2023-12-12T13:37:26.208774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:37:26.326931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6684
66.8%
3 2732
27.3%
2 516
 
5.2%
1 68
 
0.7%

point_e
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size88.0 KiB

a1_index
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
1
8159 
3
1733 
2
 
108

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
1 8159
81.6%
3 1733
 
17.3%
2 108
 
1.1%

Length

2023-12-12T13:37:26.444049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:37:26.544772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 8159
81.6%
3 1733
 
17.3%
2 108
 
1.1%

b1_index
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
1
8159 
3
1733 
2
 
108

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
1 8159
81.6%
3 1733
 
17.3%
2 108
 
1.1%

Length

2023-12-12T13:37:26.665488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:37:26.824005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 8159
81.6%
3 1733
 
17.3%
2 108
 
1.1%

c1_index
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
1
5439 
<NA>
3342 
3
1147 
2
 
72

Length

Max length4
Median length1
Mean length2.0026
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row3
3rd row<NA>
4th row3
5th row3

Common Values

ValueCountFrequency (%)
1 5439
54.4%
<NA> 3342
33.4%
3 1147
 
11.5%
2 72
 
0.7%

Length

2023-12-12T13:37:27.023199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:37:27.152193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5439
54.4%
na 3342
33.4%
3 1147
 
11.5%
2 72
 
0.7%

d_index
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
<NA>
6684 
1
2719 
3
 
561
2
 
36

Length

Max length4
Median length4
Mean length3.0052
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row3
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 6684
66.8%
1 2719
27.2%
3 561
 
5.6%
2 36
 
0.4%

Length

2023-12-12T13:37:27.720538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:37:27.859673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6684
66.8%
1 2719
27.2%
3 561
 
5.6%
2 36
 
0.4%

e_index
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size88.0 KiB

file_time
Categorical

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
2019-11-17 00:00:00
 
431
2019-11-16 00:00:00
 
431
2019-11-15 00:00:00
 
431
2019-11-14 00:00:00
 
431
2019-11-12 00:00:00
 
431
Other values (20)
7845 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-11-17 00:00:00
2nd row2019-11-17 00:00:00
3rd row2019-11-17 00:00:00
4th row2019-11-17 00:00:00
5th row2019-11-17 00:00:00

Common Values

ValueCountFrequency (%)
2019-11-17 00:00:00 431
 
4.3%
2019-11-16 00:00:00 431
 
4.3%
2019-11-15 00:00:00 431
 
4.3%
2019-11-14 00:00:00 431
 
4.3%
2019-11-12 00:00:00 431
 
4.3%
2019-11-11 00:00:00 431
 
4.3%
2019-11-10 00:00:00 431
 
4.3%
2019-11-09 00:00:00 431
 
4.3%
2019-11-08 00:00:00 431
 
4.3%
2019-11-07 00:00:00 431
 
4.3%
Other values (15) 5690
56.9%

Length

2023-12-12T13:37:27.966999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
00:00:00 10000
50.0%
2019-11-17 431
 
2.2%
2019-11-05 431
 
2.2%
2019-10-26 431
 
2.2%
2019-10-27 431
 
2.2%
2019-10-28 431
 
2.2%
2019-10-29 431
 
2.2%
2019-10-30 431
 
2.2%
2019-10-31 431
 
2.2%
2019-11-01 431
 
2.2%
Other values (16) 6121
30.6%

point_a2
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
3
6340 
2
1874 
<NA>
1645 
1
 
141

Length

Max length4
Median length1
Mean length1.4935
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row2
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 6340
63.4%
2 1874
 
18.7%
<NA> 1645
 
16.4%
1 141
 
1.4%

Length

2023-12-12T13:37:28.085358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:37:28.196938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 6340
63.4%
2 1874
 
18.7%
na 1645
 
16.4%
1 141
 
1.4%

point_a3
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
<NA>
8329 
3
934 
2
 
716
1
 
21

Length

Max length4
Median length4
Mean length3.4987
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row2
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 8329
83.3%
3 934
 
9.3%
2 716
 
7.2%
1 21
 
0.2%

Length

2023-12-12T13:37:28.326702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:37:28.440771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8329
83.3%
3 934
 
9.3%
2 716
 
7.2%
1 21
 
0.2%

point_b2
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
3
6098 
2
2143 
<NA>
1645 
1
 
114

Length

Max length4
Median length1
Mean length1.4935
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row2
3rd row2
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 6098
61.0%
2 2143
 
21.4%
<NA> 1645
 
16.4%
1 114
 
1.1%

Length

2023-12-12T13:37:28.612684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:37:28.735982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 6098
61.0%
2 2143
 
21.4%
na 1645
 
16.4%
1 114
 
1.1%

point_b3
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
<NA>
8329 
3
1190 
2
 
459
1
 
22

Length

Max length4
Median length4
Mean length3.4987
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row2
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 8329
83.3%
3 1190
 
11.9%
2 459
 
4.6%
1 22
 
0.2%

Length

2023-12-12T13:37:28.862364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:37:28.987387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8329
83.3%
3 1190
 
11.9%
2 459
 
4.6%
1 22
 
0.2%

point_c2
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
<NA>
4987 
3
3611 
2
1322 
1
 
80

Length

Max length4
Median length1
Mean length2.4961
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row2
3rd row<NA>
4th row3
5th row3

Common Values

ValueCountFrequency (%)
<NA> 4987
49.9%
3 3611
36.1%
2 1322
 
13.2%
1 80
 
0.8%

Length

2023-12-12T13:37:29.135249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:37:29.246014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4987
49.9%
3 3611
36.1%
2 1322
 
13.2%
1 80
 
0.8%

a2_index
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
1
6800 
<NA>
1645 
3
1465 
2
 
90

Length

Max length4
Median length1
Mean length1.4935
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
1 6800
68.0%
<NA> 1645
 
16.4%
3 1465
 
14.6%
2 90
 
0.9%

Length

2023-12-12T13:37:29.360124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:37:29.476028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 6800
68.0%
na 1645
 
16.4%
3 1465
 
14.6%
2 90
 
0.9%

a3_index
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
<NA>
8329 
1
1360 
3
 
293
2
 
18

Length

Max length4
Median length4
Mean length3.4987
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row3
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 8329
83.3%
1 1360
 
13.6%
3 293
 
2.9%
2 18
 
0.2%

Length

2023-12-12T13:37:29.601293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:37:29.731096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8329
83.3%
1 1360
 
13.6%
3 293
 
2.9%
2 18
 
0.2%

b2_index
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
1
6800 
<NA>
1645 
3
1465 
2
 
90

Length

Max length4
Median length1
Mean length1.4935
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
1 6800
68.0%
<NA> 1645
 
16.4%
3 1465
 
14.6%
2 90
 
0.9%

Length

2023-12-12T13:37:29.882378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:37:30.004078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 6800
68.0%
na 1645
 
16.4%
3 1465
 
14.6%
2 90
 
0.9%

b3_index
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
<NA>
8329 
1
1360 
3
 
293
2
 
18

Length

Max length4
Median length4
Mean length3.4987
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row3
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 8329
83.3%
1 1360
 
13.6%
3 293
 
2.9%
2 18
 
0.2%

Length

2023-12-12T13:37:30.153509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:37:30.278447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8329
83.3%
1 1360
 
13.6%
3 293
 
2.9%
2 18
 
0.2%

c2_index
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
<NA>
4987 
1
4080 
3
879 
2
 
54

Length

Max length4
Median length1
Mean length2.4961
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row3
3rd row<NA>
4th row3
5th row3

Common Values

ValueCountFrequency (%)
<NA> 4987
49.9%
1 4080
40.8%
3 879
 
8.8%
2 54
 
0.5%

Length

2023-12-12T13:37:30.430337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:37:30.566949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4987
49.9%
1 4080
40.8%
3 879
 
8.8%
2 54
 
0.5%

model_id
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size88.0 KiB

Sample

st_idpred_timemodel_codepoint_a1point_b1point_c1point_dpoint_ea1_indexb1_indexc1_indexd_indexe_indexfile_timepoint_a2point_a3point_b2point_b3point_c2a2_indexa3_indexb2_indexb3_indexc2_indexmodel_id
0732019-11-19 23:00:00khoa_yeosu33<NA><NA><NA>33<NA><NA><NA>2019-11-17 00:00:003<NA>3<NA><NA>3<NA>3<NA><NA><NA>
1732019-11-19 23:00:00khoa_geocha232<NA><NA>333<NA><NA>2019-11-17 00:00:003<NA>2<NA>23<NA>3<NA>3<NA>
2732019-11-19 23:00:00khoa_hongdo33<NA><NA><NA>33<NA><NA><NA>2019-11-17 00:00:002222<NA>3333<NA><NA>
3732019-11-19 23:00:00khoa_incoeon3332<NA>3333<NA>2019-11-17 00:00:003<NA>3<NA>33<NA>3<NA>3<NA>
4732019-11-19 23:00:00khoa_mokpo323<NA><NA>333<NA><NA>2019-11-17 00:00:003<NA>3<NA>33<NA>3<NA>3<NA>
5732019-11-19 22:00:00khoa_busan3333<NA>3333<NA>2019-11-17 00:00:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6732019-11-19 22:00:00khoa_yeosu33<NA><NA><NA>33<NA><NA><NA>2019-11-17 00:00:003<NA>3<NA><NA>3<NA>3<NA><NA><NA>
7732019-11-19 22:00:00khoa_incoeon2333<NA>3333<NA>2019-11-17 00:00:003<NA>3<NA>33<NA>3<NA>3<NA>
8732019-11-19 22:00:00khoa_hongdo33<NA><NA><NA>33<NA><NA><NA>2019-11-17 00:00:002222<NA>3333<NA><NA>
9732019-11-19 22:00:00khoa_geocha232<NA><NA>333<NA><NA>2019-11-17 00:00:003<NA>2<NA>23<NA>3<NA>3<NA>
st_idpred_timemodel_codepoint_a1point_b1point_c1point_dpoint_ea1_indexb1_indexc1_indexd_indexe_indexfile_timepoint_a2point_a3point_b2point_b3point_c2a2_indexa3_indexb2_indexb3_indexc2_indexmodel_id
9990492019-10-25 19:00:00khoa_mokpo323<NA><NA>333<NA><NA>2019-10-23 00:00:002<NA>3<NA>33<NA>3<NA>3<NA>
9991492019-10-25 19:00:00khoa_geocha233<NA><NA>333<NA><NA>2019-10-23 00:00:003<NA>2<NA>23<NA>3<NA>3<NA>
9992492019-10-25 19:00:00khoa_hongdo33<NA><NA><NA>33<NA><NA><NA>2019-10-23 00:00:003333<NA>3333<NA><NA>
9993492019-10-25 19:00:00khoa_incoeon2333<NA>3333<NA>2019-10-23 00:00:003<NA>2<NA>23<NA>3<NA>3<NA>
9994492019-10-25 19:00:00khoa_busan3323<NA>3333<NA>2019-10-23 00:00:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9995502019-10-25 19:00:00khoa_yeosu33<NA><NA><NA>11<NA><NA><NA>2019-10-24 00:00:002<NA>3<NA><NA>1<NA>1<NA><NA><NA>
9996502019-10-25 19:00:00khoa_incoeon2333<NA>1111<NA>2019-10-24 00:00:003<NA>2<NA>21<NA>1<NA>1<NA>
9997502019-10-25 19:00:00khoa_hongdo32<NA><NA><NA>11<NA><NA><NA>2019-10-24 00:00:003233<NA>1111<NA><NA>
9998502019-10-25 19:00:00khoa_geocha333<NA><NA>111<NA><NA>2019-10-24 00:00:003<NA>2<NA>21<NA>1<NA>1<NA>
9999502019-10-25 19:00:00khoa_mokpo323<NA><NA>111<NA><NA>2019-10-24 00:00:002<NA>3<NA>31<NA>1<NA>1<NA>