Overview

Dataset statistics

Number of variables22
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.3 KiB
Average record size in memory197.3 B

Variable types

Numeric6
Text1
Categorical14
DateTime1

Alerts

10대미만여성값 has constant value ""Constant
10대미만남자값 has constant value ""Constant
70대이상남자값 is highly imbalanced (76.3%)Imbalance
10대여성값 is highly imbalanced (85.9%)Imbalance
20대여성값 is highly imbalanced (85.9%)Imbalance
30대여성값 is highly imbalanced (86.0%)Imbalance
40대여성값 is highly imbalanced (85.9%)Imbalance
50대여성값 is highly imbalanced (70.5%)Imbalance
60대여성값 is highly imbalanced (89.8%)Imbalance
70대이상여성값 is highly imbalanced (82.2%)Imbalance
10대남자값 is highly imbalanced (79.7%)Imbalance
20대남자값 is highly imbalanced (73.9%)Imbalance
30대남자값 is highly imbalanced (81.9%)Imbalance
40대남자값 is highly imbalanced (61.5%)Imbalance
순번 has unique valuesUnique
60대남자값 has 82 (82.0%) zerosZeros
총유동인구수 has 48 (48.0%) zerosZeros
50대남자값 has 83 (83.0%) zerosZeros

Reproduction

Analysis started2023-12-10 06:47:01.782927
Analysis finished2023-12-10 06:47:01.967664
Duration0.18 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.5
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:47:02.053894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.95
Q125.75
median50.5
Q375.25
95-th percentile95.05
Maximum100
Range99
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation29.011492
Coefficient of variation (CV)0.57448499
Kurtosis-1.2
Mean50.5
Median Absolute Deviation (MAD)25
Skewness0
Sum5050
Variance841.66667
MonotonicityStrictly increasing
2023-12-10T15:47:02.202904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
65 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%

택시아이디
Text

Distinct59
Distinct (%)59.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T15:47:02.493394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1000
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)18.0%

Sample

1st rowT_99659190
2nd rowT_47278771
3rd rowT_22187217
4th rowT_48743645
5th rowT_23359116
ValueCountFrequency (%)
t_99659190 2
 
2.0%
t_47352015 2
 
2.0%
t_74421149 2
 
2.0%
t_23066141 2
 
2.0%
t_47278771 2
 
2.0%
t_49769056 2
 
2.0%
t_26215619 2
 
2.0%
t_97608367 2
 
2.0%
t_24750746 2
 
2.0%
t_72883031 2
 
2.0%
Other values (49) 80
80.0%
2023-12-10T15:47:02.855433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 112
11.2%
2 109
10.9%
T 100
10.0%
_ 100
10.0%
4 89
8.9%
9 83
8.3%
8 82
8.2%
0 70
7.0%
1 69
6.9%
3 69
6.9%
Other values (2) 117
11.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 800
80.0%
Uppercase Letter 100
 
10.0%
Connector Punctuation 100
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 112
14.0%
2 109
13.6%
4 89
11.1%
9 83
10.4%
8 82
10.2%
0 70
8.8%
1 69
8.6%
3 69
8.6%
6 60
7.5%
5 57
7.1%
Uppercase Letter
ValueCountFrequency (%)
T 100
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 900
90.0%
Latin 100
 
10.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 112
12.4%
2 109
12.1%
_ 100
11.1%
4 89
9.9%
9 83
9.2%
8 82
9.1%
0 70
7.8%
1 69
7.7%
3 69
7.7%
6 60
6.7%
Latin
ValueCountFrequency (%)
T 100
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 112
11.2%
2 109
10.9%
T 100
10.0%
_ 100
10.0%
4 89
8.9%
9 83
8.3%
8 82
8.2%
0 70
7.0%
1 69
6.9%
3 69
6.9%
Other values (2) 117
11.7%

60대남자값
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.7
Minimum0
Maximum100
Zeros82
Zeros (%)82.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:47:03.003771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile66.67
Maximum100
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation25.138516
Coefficient of variation (CV)2.3493941
Kurtosis4.8903876
Mean10.7
Median Absolute Deviation (MAD)0
Skewness2.3804775
Sum1070
Variance631.94501
MonotonicityNot monotonic
2023-12-10T15:47:03.125125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 82
82.0%
50.0 9
 
9.0%
100.0 4
 
4.0%
33.33 2
 
2.0%
66.67 2
 
2.0%
20.0 1
 
1.0%
ValueCountFrequency (%)
0.0 82
82.0%
20.0 1
 
1.0%
33.33 2
 
2.0%
50.0 9
 
9.0%
66.67 2
 
2.0%
100.0 4
 
4.0%
ValueCountFrequency (%)
100.0 4
 
4.0%
66.67 2
 
2.0%
50.0 9
 
9.0%
33.33 2
 
2.0%
20.0 1
 
1.0%
0.0 82
82.0%

70대이상남자값
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0.0
93 
50.0
 
3
33.33
 
2
100.0
 
2

Length

Max length5
Median length3
Mean length3.11
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 93
93.0%
50.0 3
 
3.0%
33.33 2
 
2.0%
100.0 2
 
2.0%

Length

2023-12-10T15:47:03.249851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:47:03.358469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 93
93.0%
50.0 3
 
3.0%
33.33 2
 
2.0%
100.0 2
 
2.0%

10대미만여성값
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:47:03.469523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:47:03.554847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

10대여성값
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
98 
50
 
2

Length

Max length2
Median length1
Mean length1.02
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 98
98.0%
50 2
 
2.0%

Length

2023-12-10T15:47:03.650120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:47:03.760840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 98
98.0%
50 2
 
2.0%

20대여성값
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
98 
50
 
2

Length

Max length2
Median length1
Mean length1.02
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 98
98.0%
50 2
 
2.0%

Length

2023-12-10T15:47:03.888094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:47:03.991502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 98
98.0%
50 2
 
2.0%

30대여성값
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
97 
50
 
2
40
 
1

Length

Max length2
Median length1
Mean length1.03
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row40

Common Values

ValueCountFrequency (%)
0 97
97.0%
50 2
 
2.0%
40 1
 
1.0%

Length

2023-12-10T15:47:04.131375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:47:04.250801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 97
97.0%
50 2
 
2.0%
40 1
 
1.0%

40대여성값
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
98 
100
 
2

Length

Max length3
Median length1
Mean length1.04
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 98
98.0%
100 2
 
2.0%

Length

2023-12-10T15:47:04.366755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:47:04.469712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 98
98.0%
100 2
 
2.0%

50대여성값
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0.0
92 
50.0
 
6
33.33
 
2

Length

Max length5
Median length3
Mean length3.1
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 92
92.0%
50.0 6
 
6.0%
33.33 2
 
2.0%

Length

2023-12-10T15:47:04.580162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:47:04.698023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 92
92.0%
50.0 6
 
6.0%
33.33 2
 
2.0%

60대여성값
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0.0
98 
100.0
 
1
33.33
 
1

Length

Max length5
Median length3
Mean length3.04
Min length3

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 98
98.0%
100.0 1
 
1.0%
33.33 1
 
1.0%

Length

2023-12-10T15:47:04.818196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:47:04.929678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 98
98.0%
100.0 1
 
1.0%
33.33 1
 
1.0%

70대이상여성값
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0.0
96 
33.33
 
2
50.0
 
2

Length

Max length5
Median length3
Mean length3.06
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 96
96.0%
33.33 2
 
2.0%
50.0 2
 
2.0%

Length

2023-12-10T15:47:05.094296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:47:05.264979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 96
96.0%
33.33 2
 
2.0%
50.0 2
 
2.0%

위도값
Real number (ℝ)

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.527424
Minimum37.39786
Maximum37.67343
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:47:05.391586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.39786
5-th percentile37.466428
Q137.486755
median37.518492
Q337.562428
95-th percentile37.652744
Maximum37.67343
Range0.27557
Interquartile range (IQR)0.0756735

Descriptive statistics

Standard deviation0.056343707
Coefficient of variation (CV)0.0015014008
Kurtosis0.21150239
Mean37.527424
Median Absolute Deviation (MAD)0.0352095
Skewness0.62871749
Sum3752.7424
Variance0.0031746133
MonotonicityNot monotonic
2023-12-10T15:47:05.902671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.52096 2
 
2.0%
37.475964 2
 
2.0%
37.434925 2
 
2.0%
37.565876 2
 
2.0%
37.55336 2
 
2.0%
37.482277 2
 
2.0%
37.67343 2
 
2.0%
37.522633 2
 
2.0%
37.659283 2
 
2.0%
37.486755 2
 
2.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
37.39786 1
1.0%
37.429626 1
1.0%
37.43064 1
1.0%
37.434925 2
2.0%
37.468086 1
1.0%
37.469578 1
1.0%
37.469692 1
1.0%
37.471317 1
1.0%
37.471348 1
1.0%
37.4752 1
1.0%
ValueCountFrequency (%)
37.67343 2
2.0%
37.659283 2
2.0%
37.652752 1
1.0%
37.652744 1
1.0%
37.61152 1
1.0%
37.6114 1
1.0%
37.605473 1
1.0%
37.605343 1
1.0%
37.599487 1
1.0%
37.594585 1
1.0%

총유동인구수
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.89
Minimum0
Maximum68
Zeros48
Zeros (%)48.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:47:06.072309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4.5
Q321
95-th percentile40
Maximum68
Range68
Interquartile range (IQR)21

Descriptive statistics

Standard deviation15.267246
Coefficient of variation (CV)1.2840408
Kurtosis2.0185806
Mean11.89
Median Absolute Deviation (MAD)4.5
Skewness1.397658
Sum1189
Variance233.08879
MonotonicityNot monotonic
2023-12-10T15:47:06.243511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 48
48.0%
20 4
 
4.0%
7 4
 
4.0%
13 4
 
4.0%
31 3
 
3.0%
12 3
 
3.0%
26 3
 
3.0%
18 3
 
3.0%
38 2
 
2.0%
24 2
 
2.0%
Other values (13) 24
24.0%
ValueCountFrequency (%)
0 48
48.0%
2 2
 
2.0%
7 4
 
4.0%
8 2
 
2.0%
11 2
 
2.0%
12 3
 
3.0%
13 4
 
4.0%
14 2
 
2.0%
18 3
 
3.0%
20 4
 
4.0%
ValueCountFrequency (%)
68 2
2.0%
41 2
2.0%
40 2
2.0%
38 2
2.0%
33 1
 
1.0%
32 2
2.0%
31 3
3.0%
30 2
2.0%
27 2
2.0%
26 3
3.0%

측정시각
Date

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2021-01-01 00:00:00
Maximum2021-01-01 00:00:01
2023-12-10T15:47:06.385972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:47:06.514532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

경도값
Real number (ℝ)

Distinct82
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.99005
Minimum126.65185
Maximum127.25926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:47:06.650884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.65185
5-th percentile126.79125
Q1126.95726
median127.01036
Q3127.04157
95-th percentile127.10281
Maximum127.25926
Range0.607405
Interquartile range (IQR)0.084311

Descriptive statistics

Standard deviation0.091720588
Coefficient of variation (CV)0.00072226596
Kurtosis2.4039923
Mean126.99005
Median Absolute Deviation (MAD)0.0460775
Skewness-0.98841462
Sum12699.005
Variance0.0084126662
MonotonicityNot monotonic
2023-12-10T15:47:06.862745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.01797 2
 
2.0%
126.89854 2
 
2.0%
126.905 2
 
2.0%
127.07274 2
 
2.0%
127.0897 2
 
2.0%
126.9207 2
 
2.0%
126.766846 2
 
2.0%
126.995346 2
 
2.0%
126.753555 2
 
2.0%
126.792534 2
 
2.0%
Other values (72) 80
80.0%
ValueCountFrequency (%)
126.651855 1
1.0%
126.753555 2
2.0%
126.766846 2
2.0%
126.792534 2
2.0%
126.836586 1
1.0%
126.88755 1
1.0%
126.887596 1
1.0%
126.89137 1
1.0%
126.89152 1
1.0%
126.89854 2
2.0%
ValueCountFrequency (%)
127.25926 1
1.0%
127.15483 1
1.0%
127.10418 1
1.0%
127.10415 1
1.0%
127.10293 1
1.0%
127.1028 1
1.0%
127.09912 1
1.0%
127.0897 2
2.0%
127.088524 1
1.0%
127.0862 1
1.0%

10대미만남자값
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:47:07.020823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:47:07.189132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

10대남자값
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0.0
95 
25.0
 
4
33.33
 
1

Length

Max length5
Median length3
Mean length3.06
Min length3

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 95
95.0%
25.0 4
 
4.0%
33.33 1
 
1.0%

Length

2023-12-10T15:47:07.355725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:47:07.473599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 95
95.0%
25.0 4
 
4.0%
33.33 1
 
1.0%

20대남자값
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0.0
92 
50.0
 
4
33.33
 
2
25.0
 
2

Length

Max length5
Median length3
Mean length3.1
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row50.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 92
92.0%
50.0 4
 
4.0%
33.33 2
 
2.0%
25.0 2
 
2.0%

Length

2023-12-10T15:47:07.594216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:47:07.716091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 92
92.0%
50.0 4
 
4.0%
33.33 2
 
2.0%
25.0 2
 
2.0%

30대남자값
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
95 
50
 
2
25
 
2
20
 
1

Length

Max length2
Median length1
Mean length1.05
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row20

Common Values

ValueCountFrequency (%)
0 95
95.0%
50 2
 
2.0%
25 2
 
2.0%
20 1
 
1.0%

Length

2023-12-10T15:47:07.832883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:47:07.947298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 95
95.0%
50 2
 
2.0%
25 2
 
2.0%
20 1
 
1.0%

40대남자값
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0.0
85 
50.0
 
6
33.33
 
4
100.0
 
3
25.0
 
2

Length

Max length5
Median length3
Mean length3.22
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 85
85.0%
50.0 6
 
6.0%
33.33 4
 
4.0%
100.0 3
 
3.0%
25.0 2
 
2.0%

Length

2023-12-10T15:47:08.108388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:47:08.270529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 85
85.0%
50.0 6
 
6.0%
33.33 4
 
4.0%
100.0 3
 
3.0%
25.0 2
 
2.0%

50대남자값
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.0333
Minimum0
Maximum100
Zeros83
Zeros (%)83.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:47:08.405138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27.63169
Coefficient of variation (CV)2.5043903
Kurtosis5.2638767
Mean11.0333
Median Absolute Deviation (MAD)0
Skewness2.5356294
Sum1103.33
Variance763.51028
MonotonicityNot monotonic
2023-12-10T15:47:08.530988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 83
83.0%
100.0 7
 
7.0%
50.0 6
 
6.0%
25.0 2
 
2.0%
20.0 1
 
1.0%
33.33 1
 
1.0%
ValueCountFrequency (%)
0.0 83
83.0%
20.0 1
 
1.0%
25.0 2
 
2.0%
33.33 1
 
1.0%
50.0 6
 
6.0%
100.0 7
 
7.0%
ValueCountFrequency (%)
100.0 7
 
7.0%
50.0 6
 
6.0%
33.33 1
 
1.0%
25.0 2
 
2.0%
20.0 1
 
1.0%
0.0 83
83.0%

Sample

순번택시아이디60대남자값70대이상남자값10대미만여성값10대여성값20대여성값30대여성값40대여성값50대여성값60대여성값70대이상여성값위도값총유동인구수측정시각경도값10대미만남자값10대남자값20대남자값30대남자값40대남자값50대남자값
01T_996591900.00.0000000.00.00.037.5209602021-01-01 00:00:00127.0179700.00.000.00.0
12T_472787710.00.0000000.00.00.037.6114212021-01-01 00:00:00127.0727400.050.000.050.0
23T_22187217100.00.0000000.00.00.037.56220282021-01-01 00:00:00127.0650900.00.000.00.0
34T_487436450.00.0000000.00.00.037.5457402021-01-01 00:00:00126.83658600.00.000.00.0
45T_2335911620.00.00004000.00.00.037.512623332021-01-01 00:00:00127.0991200.00.0200.020.0
56T_960702500.00.0000000.00.00.037.5599402021-01-01 00:00:00127.1548300.00.000.00.0
67T_979745860.00.0000000.00.00.037.54644402021-01-01 00:00:00126.88759600.00.000.00.0
78T_722238380.00.0000000.00.00.037.487724232021-01-01 00:00:00126.9824700.00.000.0100.0
89T_499887870.00.00050000.00.00.037.475964302021-01-01 00:00:00126.9816600.00.0050.00.0
910T_992197280.00.00000050.00.00.037.536297402021-01-01 00:00:00126.96316500.00.0500.00.0
순번택시아이디60대남자값70대이상남자값10대미만여성값10대여성값20대여성값30대여성값40대여성값50대여성값60대여성값70대이상여성값위도값총유동인구수측정시각경도값10대미만남자값10대남자값20대남자값30대남자값40대남자값50대남자값
9091T_747141230.00.0000000.00.033.3337.55336202021-01-01 00:00:01126.97607400.033.33033.330.0
9192T_217477550.00.0000000.00.00.037.494702021-01-01 00:00:01126.96072400.00.000.00.0
9293T_230661410.0100.0000000.00.00.037.49999272021-01-01 00:00:01126.920700.00.000.00.0
9394T_980478290.00.0000000.00.00.037.434925142021-01-01 00:00:01126.9969400.00.000.0100.0
9495T_7288303150.00.00500000.00.00.037.51876472021-01-01 00:00:01127.02853400.00.000.00.0
9596T_979745860.00.0000000.00.00.037.5463602021-01-01 00:00:01126.8875500.00.000.00.0
9697T_506479800.00.0000000.00.00.037.52263302021-01-01 00:00:01126.92061600.00.000.00.0
9798T_976083670.00.0000000.00.00.037.48327132021-01-01 00:00:01127.0247600.00.00100.00.0
9899T_472787710.00.0000000.00.00.037.61152212021-01-01 00:00:01127.0727400.050.000.050.0
99100T_7229708250.00.00000050.00.00.037.605473322021-01-01 00:00:01127.0471900.00.000.00.0