Overview

Dataset statistics

Number of variables30
Number of observations500
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory131.5 KiB
Average record size in memory269.3 B

Variable types

Numeric29
Text1

Alerts

시간대0시~1시미만(AVG_00TMST) has 356 (71.2%) zerosZeros
시간대1시~2시미만(AVG_01TMST) has 384 (76.8%) zerosZeros
시간대2시~3시미만(AVG_02TMST) has 411 (82.2%) zerosZeros
시간대3시~4시미만(AVG_03TMST) has 448 (89.6%) zerosZeros
시간대4시~5시미만(AVG_04TMST) has 444 (88.8%) zerosZeros
시간대5시~6시미만(AVG_05TMST) has 432 (86.4%) zerosZeros
시간대6시~7시미만(AVG_06TMST) has 391 (78.2%) zerosZeros
시간대7시~8시미만(AVG_07TMST) has 349 (69.8%) zerosZeros
시간대8시~9시미만(AVG_08TMST) has 293 (58.6%) zerosZeros
시간대9시~10시미만(AVG_09TMST) has 234 (46.8%) zerosZeros
시간대10시~11시미만(AVG_10TMST) has 218 (43.6%) zerosZeros
시간대11시~12시미만(AVG_11TMST) has 225 (45.0%) zerosZeros
시간대12시~13시미만(AVG_12TMST) has 200 (40.0%) zerosZeros
시간대13시~14시미만(AVG_13TMST) has 214 (42.8%) zerosZeros
시간대14시~15시미만(AVG_14TMST) has 232 (46.4%) zerosZeros
시간대15시~16시미만(AVG_15TMST) has 204 (40.8%) zerosZeros
시간대16시~17시미만(AVG_16TMST) has 193 (38.6%) zerosZeros
시간대17시~18시미만(AVG_17TMST) has 214 (42.8%) zerosZeros
시간대18시~19시미만(AVG_18TMST) has 210 (42.0%) zerosZeros
시간대19시~20시미만(AVG_19TMST) has 217 (43.4%) zerosZeros
시간대20시~21시미만(AVG_20TMST) has 235 (47.0%) zerosZeros
시간대21시~22시미만(AVG_21TMST) has 238 (47.6%) zerosZeros
시간대22시~23시미만(AVG_22TMST) has 268 (53.6%) zerosZeros
시간대23시~0시미만(AVG_23TMST) has 298 (59.6%) zerosZeros

Reproduction

Analysis started2023-12-10 14:59:58.570410
Analysis finished2023-12-10 14:59:59.099253
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년월(STD_YM)
Real number (ℝ)

Distinct12
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201566.86
Minimum201508
Maximum201607
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:59.223385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201508
5-th percentile201508
Q1201511
median201601
Q3201605
95-th percentile201607
Maximum201607
Range99
Interquartile range (IQR)94

Descriptive statistics

Standard deviation46.054746
Coefficient of variation (CV)0.00022848371
Kurtosis-1.8130857
Mean201566.86
Median Absolute Deviation (MAD)5
Skewness-0.4325246
Sum1.0078343 × 108
Variance2121.0396
MonotonicityNot monotonic
2023-12-10T23:59:59.495658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
201601 57
11.4%
201508 54
10.8%
201606 46
9.2%
201605 45
9.0%
201607 45
9.0%
201602 41
8.2%
201512 40
8.0%
201603 40
8.0%
201509 35
7.0%
201511 34
6.8%
Other values (2) 63
12.6%
ValueCountFrequency (%)
201508 54
10.8%
201509 35
7.0%
201510 34
6.8%
201511 34
6.8%
201512 40
8.0%
201601 57
11.4%
201602 41
8.2%
201603 40
8.0%
201604 29
5.8%
201605 45
9.0%
ValueCountFrequency (%)
201607 45
9.0%
201606 46
9.2%
201605 45
9.0%
201604 29
5.8%
201603 40
8.0%
201602 41
8.2%
201601 57
11.4%
201512 40
8.0%
201511 34
6.8%
201510 34
6.8%

년월일(STD_YMD)
Real number (ℝ)

Distinct278
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20156702
Minimum20150801
Maximum20160731
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:59.951945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20150801
5-th percentile20150814
Q120151101
median20160128
Q320160508
95-th percentile20160715
Maximum20160731
Range9930
Interquartile range (IQR)9407

Descriptive statistics

Standard deviation4605.4447
Coefficient of variation (CV)0.00022848205
Kurtosis-1.8130696
Mean20156702
Median Absolute Deviation (MAD)499.5
Skewness-0.43249706
Sum1.0078351 × 1010
Variance21210121
MonotonicityNot monotonic
2023-12-11T00:00:01.022677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20151107 5
 
1.0%
20150806 5
 
1.0%
20160517 4
 
0.8%
20150821 4
 
0.8%
20160321 4
 
0.8%
20160108 4
 
0.8%
20150804 4
 
0.8%
20151218 4
 
0.8%
20160117 4
 
0.8%
20160529 4
 
0.8%
Other values (268) 458
91.6%
ValueCountFrequency (%)
20150801 3
0.6%
20150803 1
 
0.2%
20150804 4
0.8%
20150806 5
1.0%
20150807 1
 
0.2%
20150808 2
 
0.4%
20150809 1
 
0.2%
20150810 2
 
0.4%
20150811 2
 
0.4%
20150812 2
 
0.4%
ValueCountFrequency (%)
20160731 1
 
0.2%
20160730 2
0.4%
20160729 1
 
0.2%
20160728 2
0.4%
20160727 3
0.6%
20160725 3
0.6%
20160724 1
 
0.2%
20160721 2
0.4%
20160720 2
0.4%
20160719 1
 
0.2%
Distinct159
Distinct (%)31.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-11T00:00:02.339162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters10000
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

Unique49 ?
Unique (%)9.8%

Sample

1st row1*0*0*2*3*0*3*0*0*0*
2nd row1*0*0*4*1*0*2*0*0*0*
3rd row1*0*0*2*4*0*1*0*0*0*
4th row1*0*0*1*4*0*2*0*0*0*
5th row1*0*0*4*2*0*2*0*0*0*
ValueCountFrequency (%)
1*0*0*2*4*0*1*0*0*0 18
 
3.6%
1*0*0*1*1*0*7*0*0*0 18
 
3.6%
1*0*0*2*3*0*4*0*0*0 17
 
3.4%
1*0*0*2*3*0*7*0*0*0 14
 
2.8%
1*0*0*4*2*0*2*0*0*0 11
 
2.2%
1*0*0*1*2*0*7*0*0*0 11
 
2.2%
1*0*0*1*1*0*8*0*0*0 10
 
2.0%
1*0*0*1*1*0*5*0*0*0 10
 
2.0%
1*0*0*2*1*0*7*0*0*0 9
 
1.8%
1*0*0*2*3*0*3*0*0*0 7
 
1.4%
Other values (149) 375
75.0%
2023-12-11T00:00:03.090531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 5000
50.0%
0 3008
30.1%
1 856
 
8.6%
2 309
 
3.1%
3 246
 
2.5%
4 195
 
1.9%
7 117
 
1.2%
8 98
 
1.0%
6 85
 
0.9%
5 70
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 5000
50.0%
Decimal Number 5000
50.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3008
60.2%
1 856
 
17.1%
2 309
 
6.2%
3 246
 
4.9%
4 195
 
3.9%
7 117
 
2.3%
8 98
 
2.0%
6 85
 
1.7%
5 70
 
1.4%
9 16
 
0.3%
Other Punctuation
ValueCountFrequency (%)
* 5000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
* 5000
50.0%
0 3008
30.1%
1 856
 
8.6%
2 309
 
3.1%
3 246
 
2.5%
4 195
 
1.9%
7 117
 
1.2%
8 98
 
1.0%
6 85
 
0.9%
5 70
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 5000
50.0%
0 3008
30.1%
1 856
 
8.6%
2 309
 
3.1%
3 246
 
2.5%
4 195
 
1.9%
7 117
 
1.2%
8 98
 
1.0%
6 85
 
0.9%
5 70
 
0.7%

X좌표(X_COORD)
Real number (ℝ)

Distinct449
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean958173.6
Minimum954267.62
Maximum961388.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:00:03.434309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum954267.62
5-th percentile955250.62
Q1956712.16
median957700.38
Q3960059.06
95-th percentile960848.47
Maximum961388.19
Range7120.5625
Interquartile range (IQR)3346.9062

Descriptive statistics

Standard deviation1840.5772
Coefficient of variation (CV)0.0019209224
Kurtosis-1.2518381
Mean958173.6
Median Absolute Deviation (MAD)1667.5312
Skewness-0.015734892
Sum4.790868 × 108
Variance3387724.3
MonotonicityNot monotonic
2023-12-11T00:00:03.814369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
959476.375 2
 
0.4%
960113.625 2
 
0.4%
960057.875 2
 
0.4%
958875.625 2
 
0.4%
958585.375 2
 
0.4%
960508.625 2
 
0.4%
961142.3125 2
 
0.4%
960700.8125 2
 
0.4%
959427.375 2
 
0.4%
959920.6875 2
 
0.4%
Other values (439) 480
96.0%
ValueCountFrequency (%)
954267.625 1
0.2%
954415.0 1
0.2%
954512.5 1
0.2%
954513.875 1
0.2%
954562.375 2
0.4%
954608.875 1
0.2%
954707.0 1
0.2%
954707.625 1
0.2%
954756.625 1
0.2%
954808.8125 1
0.2%
ValueCountFrequency (%)
961388.1875 1
0.2%
961290.125 1
0.2%
961240.625 1
0.2%
961142.5 1
0.2%
961142.3125 2
0.4%
961095.3125 2
0.4%
961094.5 1
0.2%
961044.875 1
0.2%
961044.6875 2
0.4%
961043.8125 1
0.2%

Y좌표(Y_COORD)
Real number (ℝ)

Distinct348
Distinct (%)69.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1955803.2
Minimum1953551
Maximum1958361
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:00:04.170931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1953551
5-th percentile1954112.5
Q11954837
median1955370.5
Q31957092.5
95-th percentile1957848
Maximum1958361
Range4810
Interquartile range (IQR)2255.5

Descriptive statistics

Standard deviation1250.5712
Coefficient of variation (CV)0.00063941564
Kurtosis-1.1794719
Mean1955803.2
Median Absolute Deviation (MAD)794.5
Skewness0.33870293
Sum9.779016 × 108
Variance1563928.2
MonotonicityNot monotonic
2023-12-11T00:00:04.508879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1957281 5
 
1.0%
1954680 5
 
1.0%
1955853 4
 
0.8%
1957023 4
 
0.8%
1957589 4
 
0.8%
1954220 4
 
0.8%
1957279 4
 
0.8%
1954581 4
 
0.8%
1954885 4
 
0.8%
1958104 3
 
0.6%
Other values (338) 459
91.8%
ValueCountFrequency (%)
1953551 1
 
0.2%
1953653 3
0.6%
1953704 3
0.6%
1953705 1
 
0.2%
1953706 1
 
0.2%
1953755 2
0.4%
1953807 1
 
0.2%
1953809 1
 
0.2%
1953859 1
 
0.2%
1953910 2
0.4%
ValueCountFrequency (%)
1958361 2
0.4%
1958157 1
 
0.2%
1958156 2
0.4%
1958155 1
 
0.2%
1958106 2
0.4%
1958105 1
 
0.2%
1958104 3
0.6%
1958054 2
0.4%
1958053 1
 
0.2%
1958052 1
 
0.2%
Distinct213
Distinct (%)42.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35882.984
Minimum11110
Maximum50130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:00:04.818080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11110
5-th percentile11304.25
Q128110
median41463
Q344802.5
95-th percentile48250
Maximum50130
Range39020
Interquartile range (IQR)16692.5

Descriptive statistics

Standard deviation12156.482
Coefficient of variation (CV)0.33878125
Kurtosis-0.38414248
Mean35882.984
Median Absolute Deviation (MAD)5747
Skewness-0.94702944
Sum17941492
Variance1.4778006 × 108
MonotonicityNot monotonic
2023-12-11T00:00:05.260501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48250 7
 
1.4%
41463 6
 
1.2%
43111 6
 
1.2%
29155 5
 
1.0%
47113 5
 
1.0%
43150 5
 
1.0%
43730 5
 
1.0%
27140 5
 
1.0%
11170 5
 
1.0%
42130 5
 
1.0%
Other values (203) 446
89.2%
ValueCountFrequency (%)
11110 4
0.8%
11140 4
0.8%
11170 5
1.0%
11200 2
 
0.4%
11215 1
 
0.2%
11230 3
0.6%
11260 4
0.8%
11290 2
 
0.4%
11305 5
1.0%
11320 3
0.6%
ValueCountFrequency (%)
50130 3
0.6%
48890 3
0.6%
48880 2
 
0.4%
48870 3
0.6%
48740 2
 
0.4%
48730 1
 
0.2%
48330 2
 
0.4%
48270 3
0.6%
48250 7
1.4%
48240 1
 
0.2%

시간대0시~1시미만(AVG_00TMST)
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0289
Minimum0
Maximum4.6
Zeros356
Zeros (%)71.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:00:05.608052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.05
Maximum4.6
Range4.6
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.24884541
Coefficient of variation (CV)8.6105678
Kurtosis245.25168
Mean0.0289
Median Absolute Deviation (MAD)0
Skewness14.742602
Sum14.45
Variance0.061924038
MonotonicityNot monotonic
2023-12-11T00:00:05.950090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 356
71.2%
0.01 76
 
15.2%
0.03 16
 
3.2%
0.02 14
 
2.8%
0.04 10
 
2.0%
0.13 4
 
0.8%
0.05 4
 
0.8%
0.07 4
 
0.8%
0.06 3
 
0.6%
0.15 2
 
0.4%
Other values (10) 11
 
2.2%
ValueCountFrequency (%)
0.0 356
71.2%
0.01 76
 
15.2%
0.02 14
 
2.8%
0.03 16
 
3.2%
0.04 10
 
2.0%
0.05 4
 
0.8%
0.06 3
 
0.6%
0.07 4
 
0.8%
0.08 1
 
0.2%
0.1 1
 
0.2%
ValueCountFrequency (%)
4.6 1
 
0.2%
2.09 1
 
0.2%
1.89 1
 
0.2%
1.31 1
 
0.2%
0.47 1
 
0.2%
0.17 1
 
0.2%
0.15 2
0.4%
0.13 4
0.8%
0.12 1
 
0.2%
0.11 2
0.4%

시간대1시~2시미만(AVG_01TMST)
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0185
Minimum0
Maximum3.14
Zeros384
Zeros (%)76.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:00:06.306160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.0405
Maximum3.14
Range3.14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.15897073
Coefficient of variation (CV)8.5930125
Kurtosis307.60104
Mean0.0185
Median Absolute Deviation (MAD)0
Skewness16.568107
Sum9.25
Variance0.025271693
MonotonicityNot monotonic
2023-12-11T00:00:06.556333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 384
76.8%
0.01 59
 
11.8%
0.02 19
 
3.8%
0.04 8
 
1.6%
0.05 5
 
1.0%
0.03 5
 
1.0%
0.06 3
 
0.6%
0.11 2
 
0.4%
0.07 2
 
0.4%
0.16 2
 
0.4%
Other values (10) 11
 
2.2%
ValueCountFrequency (%)
0.0 384
76.8%
0.01 59
 
11.8%
0.02 19
 
3.8%
0.03 5
 
1.0%
0.04 8
 
1.6%
0.05 5
 
1.0%
0.06 3
 
0.6%
0.07 2
 
0.4%
0.08 2
 
0.4%
0.09 1
 
0.2%
ValueCountFrequency (%)
3.14 1
0.2%
1.23 1
0.2%
0.9 1
0.2%
0.59 1
0.2%
0.2 1
0.2%
0.16 2
0.4%
0.14 1
0.2%
0.13 1
0.2%
0.12 1
0.2%
0.11 2
0.4%

시간대2시~3시미만(AVG_02TMST)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00726
Minimum0
Maximum1.08
Zeros411
Zeros (%)82.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:00:06.856263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.03
Maximum1.08
Range1.08
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.051858181
Coefficient of variation (CV)7.1430001
Kurtosis369.29622
Mean0.00726
Median Absolute Deviation (MAD)0
Skewness18.128269
Sum3.63
Variance0.0026892709
MonotonicityNot monotonic
2023-12-11T00:00:07.143945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 411
82.2%
0.01 52
 
10.4%
0.03 10
 
2.0%
0.02 9
 
1.8%
0.04 5
 
1.0%
0.13 2
 
0.4%
0.1 2
 
0.4%
0.06 2
 
0.4%
0.05 1
 
0.2%
0.07 1
 
0.2%
Other values (5) 5
 
1.0%
ValueCountFrequency (%)
0.0 411
82.2%
0.01 52
 
10.4%
0.02 9
 
1.8%
0.03 10
 
2.0%
0.04 5
 
1.0%
0.05 1
 
0.2%
0.06 2
 
0.4%
0.07 1
 
0.2%
0.1 2
 
0.4%
0.13 2
 
0.4%
ValueCountFrequency (%)
1.08 1
0.2%
0.2 1
0.2%
0.16 1
0.2%
0.15 1
0.2%
0.14 1
0.2%
0.13 2
0.4%
0.1 2
0.4%
0.07 1
0.2%
0.06 2
0.4%
0.05 1
0.2%

시간대3시~4시미만(AVG_03TMST)
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00552
Minimum0
Maximum0.55
Zeros448
Zeros (%)89.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:00:07.473468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.01
Maximum0.55
Range0.55
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.040184065
Coefficient of variation (CV)7.279722
Kurtosis131.5924
Mean0.00552
Median Absolute Deviation (MAD)0
Skewness11.063665
Sum2.76
Variance0.0016147591
MonotonicityNot monotonic
2023-12-11T00:00:07.823427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 448
89.6%
0.01 32
 
6.4%
0.02 5
 
1.0%
0.05 3
 
0.6%
0.04 2
 
0.4%
0.03 2
 
0.4%
0.07 2
 
0.4%
0.39 1
 
0.2%
0.23 1
 
0.2%
0.06 1
 
0.2%
Other values (3) 3
 
0.6%
ValueCountFrequency (%)
0.0 448
89.6%
0.01 32
 
6.4%
0.02 5
 
1.0%
0.03 2
 
0.4%
0.04 2
 
0.4%
0.05 3
 
0.6%
0.06 1
 
0.2%
0.07 2
 
0.4%
0.18 1
 
0.2%
0.23 1
 
0.2%
ValueCountFrequency (%)
0.55 1
 
0.2%
0.5 1
 
0.2%
0.39 1
 
0.2%
0.23 1
 
0.2%
0.18 1
 
0.2%
0.07 2
0.4%
0.06 1
 
0.2%
0.05 3
0.6%
0.04 2
0.4%
0.03 2
0.4%

시간대4시~5시미만(AVG_04TMST)
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00516
Minimum0
Maximum0.3
Zeros444
Zeros (%)88.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:00:08.168354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.02
Maximum0.3
Range0.3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.028244821
Coefficient of variation (CV)5.4738026
Kurtosis73.949376
Mean0.00516
Median Absolute Deviation (MAD)0
Skewness8.2081901
Sum2.58
Variance0.00079776994
MonotonicityNot monotonic
2023-12-11T00:00:08.558419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 444
88.8%
0.01 30
 
6.0%
0.02 6
 
1.2%
0.03 5
 
1.0%
0.04 3
 
0.6%
0.29 2
 
0.4%
0.05 2
 
0.4%
0.13 2
 
0.4%
0.07 1
 
0.2%
0.16 1
 
0.2%
Other values (4) 4
 
0.8%
ValueCountFrequency (%)
0.0 444
88.8%
0.01 30
 
6.0%
0.02 6
 
1.2%
0.03 5
 
1.0%
0.04 3
 
0.6%
0.05 2
 
0.4%
0.07 1
 
0.2%
0.08 1
 
0.2%
0.12 1
 
0.2%
0.13 2
 
0.4%
ValueCountFrequency (%)
0.3 1
 
0.2%
0.29 2
0.4%
0.22 1
 
0.2%
0.16 1
 
0.2%
0.13 2
0.4%
0.12 1
 
0.2%
0.08 1
 
0.2%
0.07 1
 
0.2%
0.05 2
0.4%
0.04 3
0.6%

시간대5시~6시미만(AVG_05TMST)
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00954
Minimum0
Maximum1.17
Zeros432
Zeros (%)86.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:00:08.944542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.02
Maximum1.17
Range1.17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.077384528
Coefficient of variation (CV)8.1115857
Kurtosis178.47958
Mean0.00954
Median Absolute Deviation (MAD)0
Skewness12.888072
Sum4.77
Variance0.0059883651
MonotonicityNot monotonic
2023-12-11T00:00:09.208343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 432
86.4%
0.01 36
 
7.2%
0.02 14
 
2.8%
0.03 4
 
0.8%
0.05 4
 
0.8%
0.07 2
 
0.4%
0.2 2
 
0.4%
1.17 1
 
0.2%
0.08 1
 
0.2%
0.29 1
 
0.2%
Other values (3) 3
 
0.6%
ValueCountFrequency (%)
0.0 432
86.4%
0.01 36
 
7.2%
0.02 14
 
2.8%
0.03 4
 
0.8%
0.05 4
 
0.8%
0.07 2
 
0.4%
0.08 1
 
0.2%
0.12 1
 
0.2%
0.2 2
 
0.4%
0.29 1
 
0.2%
ValueCountFrequency (%)
1.17 1
 
0.2%
1.08 1
 
0.2%
0.53 1
 
0.2%
0.29 1
 
0.2%
0.2 2
0.4%
0.12 1
 
0.2%
0.08 1
 
0.2%
0.07 2
0.4%
0.05 4
0.8%
0.03 4
0.8%

시간대6시~7시미만(AVG_06TMST)
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00642
Minimum0
Maximum0.55
Zeros391
Zeros (%)78.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:00:09.585382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.03
Maximum0.55
Range0.55
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.030006405
Coefficient of variation (CV)4.6738949
Kurtosis223.22762
Mean0.00642
Median Absolute Deviation (MAD)0
Skewness13.342215
Sum3.21
Variance0.00090038437
MonotonicityNot monotonic
2023-12-11T00:00:09.978480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 391
78.2%
0.01 56
 
11.2%
0.02 23
 
4.6%
0.03 13
 
2.6%
0.04 6
 
1.2%
0.05 2
 
0.4%
0.06 2
 
0.4%
0.1 1
 
0.2%
0.18 1
 
0.2%
0.21 1
 
0.2%
Other values (4) 4
 
0.8%
ValueCountFrequency (%)
0.0 391
78.2%
0.01 56
 
11.2%
0.02 23
 
4.6%
0.03 13
 
2.6%
0.04 6
 
1.2%
0.05 2
 
0.4%
0.06 2
 
0.4%
0.07 1
 
0.2%
0.09 1
 
0.2%
0.1 1
 
0.2%
ValueCountFrequency (%)
0.55 1
 
0.2%
0.21 1
 
0.2%
0.18 1
 
0.2%
0.14 1
 
0.2%
0.1 1
 
0.2%
0.09 1
 
0.2%
0.07 1
 
0.2%
0.06 2
 
0.4%
0.05 2
 
0.4%
0.04 6
1.2%

시간대7시~8시미만(AVG_07TMST)
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01542
Minimum0
Maximum1.72
Zeros349
Zeros (%)69.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:00:10.339161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.0605
Maximum1.72
Range1.72
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.086346598
Coefficient of variation (CV)5.5996497
Kurtosis308.10809
Mean0.01542
Median Absolute Deviation (MAD)0
Skewness16.183175
Sum7.71
Variance0.0074557351
MonotonicityNot monotonic
2023-12-11T00:00:10.712110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 349
69.8%
0.01 69
 
13.8%
0.02 24
 
4.8%
0.04 15
 
3.0%
0.03 12
 
2.4%
0.08 6
 
1.2%
0.09 4
 
0.8%
0.05 4
 
0.8%
0.07 3
 
0.6%
0.1 2
 
0.4%
Other values (11) 12
 
2.4%
ValueCountFrequency (%)
0.0 349
69.8%
0.01 69
 
13.8%
0.02 24
 
4.8%
0.03 12
 
2.4%
0.04 15
 
3.0%
0.05 4
 
0.8%
0.06 2
 
0.4%
0.07 3
 
0.6%
0.08 6
 
1.2%
0.09 4
 
0.8%
ValueCountFrequency (%)
1.72 1
0.2%
0.47 1
0.2%
0.42 1
0.2%
0.31 1
0.2%
0.24 1
0.2%
0.23 1
0.2%
0.22 1
0.2%
0.16 1
0.2%
0.13 1
0.2%
0.11 1
0.2%

시간대8시~9시미만(AVG_08TMST)
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03042
Minimum0
Maximum2.3
Zeros293
Zeros (%)58.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:00:11.076078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.1
Maximum2.3
Range2.3
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.1370664
Coefficient of variation (CV)4.5057988
Kurtosis158.96038
Mean0.03042
Median Absolute Deviation (MAD)0
Skewness11.022899
Sum15.21
Variance0.018787198
MonotonicityNot monotonic
2023-12-11T00:00:11.398326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0.0 293
58.6%
0.01 88
 
17.6%
0.02 33
 
6.6%
0.03 24
 
4.8%
0.04 9
 
1.8%
0.08 9
 
1.8%
0.07 7
 
1.4%
0.05 6
 
1.2%
0.12 4
 
0.8%
0.1 3
 
0.6%
Other values (21) 24
 
4.8%
ValueCountFrequency (%)
0.0 293
58.6%
0.01 88
 
17.6%
0.02 33
 
6.6%
0.03 24
 
4.8%
0.04 9
 
1.8%
0.05 6
 
1.2%
0.06 3
 
0.6%
0.07 7
 
1.4%
0.08 9
 
1.8%
0.09 1
 
0.2%
ValueCountFrequency (%)
2.3 1
0.2%
0.84 1
0.2%
0.81 1
0.2%
0.76 1
0.2%
0.69 1
0.2%
0.68 1
0.2%
0.56 1
0.2%
0.5 1
0.2%
0.47 1
0.2%
0.43 1
0.2%

시간대9시~10시미만(AVG_09TMST)
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.10668
Minimum0
Maximum16.31
Zeros234
Zeros (%)46.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:00:11.678517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.02
95-th percentile0.15
Maximum16.31
Range16.31
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.97011774
Coefficient of variation (CV)9.0937171
Kurtosis219.62415
Mean0.10668
Median Absolute Deviation (MAD)0.01
Skewness14.398278
Sum53.34
Variance0.94112843
MonotonicityNot monotonic
2023-12-11T00:00:11.975488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0.0 234
46.8%
0.01 117
23.4%
0.02 38
 
7.6%
0.03 22
 
4.4%
0.04 15
 
3.0%
0.05 10
 
2.0%
0.06 9
 
1.8%
0.14 5
 
1.0%
0.1 5
 
1.0%
0.13 4
 
0.8%
Other values (25) 41
 
8.2%
ValueCountFrequency (%)
0.0 234
46.8%
0.01 117
23.4%
0.02 38
 
7.6%
0.03 22
 
4.4%
0.04 15
 
3.0%
0.05 10
 
2.0%
0.06 9
 
1.8%
0.07 2
 
0.4%
0.08 3
 
0.6%
0.09 4
 
0.8%
ValueCountFrequency (%)
16.31 1
0.2%
13.02 1
0.2%
4.55 1
0.2%
2.92 1
0.2%
2.48 1
0.2%
1.52 1
0.2%
0.51 1
0.2%
0.48 1
0.2%
0.46 2
0.4%
0.27 2
0.4%
Distinct34
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05348
Minimum0
Maximum5.66
Zeros218
Zeros (%)43.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:00:12.295888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.02
95-th percentile0.14
Maximum5.66
Range5.66
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.32753144
Coefficient of variation (CV)6.1243724
Kurtosis205.29633
Mean0.05348
Median Absolute Deviation (MAD)0.01
Skewness13.48649
Sum26.74
Variance0.10727684
MonotonicityNot monotonic
2023-12-11T00:00:12.615495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0.0 218
43.6%
0.01 120
24.0%
0.02 45
 
9.0%
0.03 28
 
5.6%
0.04 14
 
2.8%
0.05 10
 
2.0%
0.08 10
 
2.0%
0.06 8
 
1.6%
0.11 7
 
1.4%
0.07 5
 
1.0%
Other values (24) 35
 
7.0%
ValueCountFrequency (%)
0.0 218
43.6%
0.01 120
24.0%
0.02 45
 
9.0%
0.03 28
 
5.6%
0.04 14
 
2.8%
0.05 10
 
2.0%
0.06 8
 
1.6%
0.07 5
 
1.0%
0.08 10
 
2.0%
0.09 4
 
0.8%
ValueCountFrequency (%)
5.66 1
0.2%
3.69 1
0.2%
2.05 1
0.2%
1.16 1
0.2%
1.1 1
0.2%
0.82 1
0.2%
0.58 1
0.2%
0.37 1
0.2%
0.36 1
0.2%
0.35 1
0.2%
Distinct42
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06738
Minimum0
Maximum5.29
Zeros225
Zeros (%)45.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:00:12.911674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.02
95-th percentile0.2205
Maximum5.29
Range5.29
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.35729968
Coefficient of variation (CV)5.3027557
Kurtosis149.99028
Mean0.06738
Median Absolute Deviation (MAD)0.01
Skewness11.415916
Sum33.69
Variance0.12766306
MonotonicityNot monotonic
2023-12-11T00:00:13.222631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0.0 225
45.0%
0.01 117
23.4%
0.02 39
 
7.8%
0.03 22
 
4.4%
0.04 19
 
3.8%
0.06 12
 
2.4%
0.05 7
 
1.4%
0.07 6
 
1.2%
0.1 4
 
0.8%
0.08 4
 
0.8%
Other values (32) 45
 
9.0%
ValueCountFrequency (%)
0.0 225
45.0%
0.01 117
23.4%
0.02 39
 
7.8%
0.03 22
 
4.4%
0.04 19
 
3.8%
0.05 7
 
1.4%
0.06 12
 
2.4%
0.07 6
 
1.2%
0.08 4
 
0.8%
0.09 2
 
0.4%
ValueCountFrequency (%)
5.29 1
0.2%
4.7 1
0.2%
1.86 1
0.2%
1.69 1
0.2%
1.5 1
0.2%
1.21 1
0.2%
0.96 1
0.2%
0.85 1
0.2%
0.7 2
0.4%
0.65 2
0.4%
Distinct40
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.11308
Minimum0
Maximum14.08
Zeros200
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:00:13.492472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.03
95-th percentile0.222
Maximum14.08
Range14.08
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.95658865
Coefficient of variation (CV)8.4593973
Kurtosis180.70426
Mean0.11308
Median Absolute Deviation (MAD)0.01
Skewness13.223721
Sum56.54
Variance0.91506184
MonotonicityNot monotonic
2023-12-11T00:00:13.761723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0.0 200
40.0%
0.01 115
23.0%
0.02 47
 
9.4%
0.04 24
 
4.8%
0.03 23
 
4.6%
0.05 13
 
2.6%
0.06 11
 
2.2%
0.07 8
 
1.6%
0.08 7
 
1.4%
0.1 6
 
1.2%
Other values (30) 46
 
9.2%
ValueCountFrequency (%)
0.0 200
40.0%
0.01 115
23.0%
0.02 47
 
9.4%
0.03 23
 
4.6%
0.04 24
 
4.8%
0.05 13
 
2.6%
0.06 11
 
2.2%
0.07 8
 
1.6%
0.08 7
 
1.4%
0.09 4
 
0.8%
ValueCountFrequency (%)
14.08 1
0.2%
13.6 1
0.2%
8.39 1
0.2%
1.92 1
0.2%
1.38 1
0.2%
0.66 1
0.2%
0.64 1
0.2%
0.51 1
0.2%
0.49 2
0.4%
0.44 1
0.2%
Distinct39
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.12584
Minimum0
Maximum10.38
Zeros214
Zeros (%)42.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:00:14.092501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.03
95-th percentile0.23
Maximum10.38
Range10.38
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.76129879
Coefficient of variation (CV)6.0497361
Kurtosis95.338029
Mean0.12584
Median Absolute Deviation (MAD)0.01
Skewness9.2261322
Sum62.92
Variance0.57957585
MonotonicityNot monotonic
2023-12-11T00:00:14.370299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0.0 214
42.8%
0.01 108
21.6%
0.02 37
 
7.4%
0.03 31
 
6.2%
0.04 16
 
3.2%
0.07 13
 
2.6%
0.09 12
 
2.4%
0.05 11
 
2.2%
0.06 8
 
1.6%
0.1 5
 
1.0%
Other values (29) 45
 
9.0%
ValueCountFrequency (%)
0.0 214
42.8%
0.01 108
21.6%
0.02 37
 
7.4%
0.03 31
 
6.2%
0.04 16
 
3.2%
0.05 11
 
2.2%
0.06 8
 
1.6%
0.07 13
 
2.6%
0.08 5
 
1.0%
0.09 12
 
2.4%
ValueCountFrequency (%)
10.38 1
0.2%
6.45 1
0.2%
6.12 1
0.2%
5.68 1
0.2%
5.07 1
0.2%
4.73 1
0.2%
4.37 1
0.2%
2.16 1
0.2%
1.2 1
0.2%
0.98 1
0.2%
Distinct38
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07692
Minimum0
Maximum7.23
Zeros232
Zeros (%)46.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:00:15.036101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.03
95-th percentile0.15
Maximum7.23
Range7.23
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.52039883
Coefficient of variation (CV)6.7654554
Kurtosis149.42853
Mean0.07692
Median Absolute Deviation (MAD)0.01
Skewness11.925606
Sum38.46
Variance0.27081494
MonotonicityNot monotonic
2023-12-11T00:00:15.341181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.0 232
46.4%
0.01 101
20.2%
0.02 39
 
7.8%
0.03 32
 
6.4%
0.04 21
 
4.2%
0.05 11
 
2.2%
0.1 7
 
1.4%
0.08 7
 
1.4%
0.12 5
 
1.0%
0.11 5
 
1.0%
Other values (28) 40
 
8.0%
ValueCountFrequency (%)
0.0 232
46.4%
0.01 101
20.2%
0.02 39
 
7.8%
0.03 32
 
6.4%
0.04 21
 
4.2%
0.05 11
 
2.2%
0.06 4
 
0.8%
0.08 7
 
1.4%
0.09 3
 
0.6%
0.1 7
 
1.4%
ValueCountFrequency (%)
7.23 1
0.2%
6.83 1
0.2%
5.38 1
0.2%
2.25 1
0.2%
1.01 1
0.2%
0.75 1
0.2%
0.74 1
0.2%
0.66 1
0.2%
0.55 1
0.2%
0.53 1
0.2%
Distinct40
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07978
Minimum0
Maximum7.88
Zeros204
Zeros (%)40.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:00:15.641340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.0225
95-th percentile0.1605
Maximum7.88
Range7.88
Interquartile range (IQR)0.0225

Descriptive statistics

Standard deviation0.52617399
Coefficient of variation (CV)6.595312
Kurtosis165.67505
Mean0.07978
Median Absolute Deviation (MAD)0.01
Skewness12.32666
Sum39.89
Variance0.27685907
MonotonicityNot monotonic
2023-12-11T00:00:16.259139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0.0 204
40.8%
0.01 134
26.8%
0.02 37
 
7.4%
0.03 33
 
6.6%
0.04 15
 
3.0%
0.05 12
 
2.4%
0.07 9
 
1.8%
0.06 6
 
1.2%
0.15 4
 
0.8%
0.09 4
 
0.8%
Other values (30) 42
 
8.4%
ValueCountFrequency (%)
0.0 204
40.8%
0.01 134
26.8%
0.02 37
 
7.4%
0.03 33
 
6.6%
0.04 15
 
3.0%
0.05 12
 
2.4%
0.06 6
 
1.2%
0.07 9
 
1.8%
0.08 2
 
0.4%
0.09 4
 
0.8%
ValueCountFrequency (%)
7.88 1
0.2%
7.11 1
0.2%
3.82 1
0.2%
2.38 1
0.2%
1.53 1
0.2%
1.1 1
0.2%
0.94 1
0.2%
0.78 1
0.2%
0.73 1
0.2%
0.68 1
0.2%
Distinct44
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0932
Minimum0
Maximum5.25
Zeros193
Zeros (%)38.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:00:16.659839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.03
95-th percentile0.2505
Maximum5.25
Range5.25
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.45823675
Coefficient of variation (CV)4.9167034
Kurtosis87.987725
Mean0.0932
Median Absolute Deviation (MAD)0.01
Skewness8.9004483
Sum46.6
Variance0.20998092
MonotonicityNot monotonic
2023-12-11T00:00:16.970390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0.0 193
38.6%
0.01 109
21.8%
0.02 42
 
8.4%
0.03 34
 
6.8%
0.04 22
 
4.4%
0.06 19
 
3.8%
0.05 12
 
2.4%
0.07 8
 
1.6%
0.1 6
 
1.2%
0.12 5
 
1.0%
Other values (34) 50
 
10.0%
ValueCountFrequency (%)
0.0 193
38.6%
0.01 109
21.8%
0.02 42
 
8.4%
0.03 34
 
6.8%
0.04 22
 
4.4%
0.05 12
 
2.4%
0.06 19
 
3.8%
0.07 8
 
1.6%
0.08 5
 
1.0%
0.09 5
 
1.0%
ValueCountFrequency (%)
5.25 2
0.4%
4.55 1
0.2%
3.49 1
0.2%
1.81 1
0.2%
1.79 1
0.2%
1.77 1
0.2%
1.68 1
0.2%
1.28 1
0.2%
1.22 1
0.2%
0.99 1
0.2%
Distinct42
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09788
Minimum0
Maximum14.13
Zeros214
Zeros (%)42.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:00:17.341891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.03
95-th percentile0.22
Maximum14.13
Range14.13
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.78920009
Coefficient of variation (CV)8.0629351
Kurtosis236.4638
Mean0.09788
Median Absolute Deviation (MAD)0.01
Skewness14.718923
Sum48.94
Variance0.62283678
MonotonicityNot monotonic
2023-12-11T00:00:17.650656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0.0 214
42.8%
0.01 102
20.4%
0.02 44
 
8.8%
0.03 37
 
7.4%
0.05 19
 
3.8%
0.04 16
 
3.2%
0.07 6
 
1.2%
0.09 5
 
1.0%
0.06 5
 
1.0%
0.08 4
 
0.8%
Other values (32) 48
 
9.6%
ValueCountFrequency (%)
0.0 214
42.8%
0.01 102
20.4%
0.02 44
 
8.8%
0.03 37
 
7.4%
0.04 16
 
3.2%
0.05 19
 
3.8%
0.06 5
 
1.0%
0.07 6
 
1.2%
0.08 4
 
0.8%
0.09 5
 
1.0%
ValueCountFrequency (%)
14.13 1
0.2%
9.15 1
0.2%
3.81 1
0.2%
3.46 1
0.2%
1.15 1
0.2%
0.8 1
0.2%
0.75 1
0.2%
0.62 1
0.2%
0.61 1
0.2%
0.46 1
0.2%
Distinct43
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09212
Minimum0
Maximum7.06
Zeros210
Zeros (%)42.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:00:17.978310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.03
95-th percentile0.28
Maximum7.06
Range7.06
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.50116208
Coefficient of variation (CV)5.4403179
Kurtosis122.6857
Mean0.09212
Median Absolute Deviation (MAD)0.01
Skewness10.439287
Sum46.06
Variance0.25116343
MonotonicityNot monotonic
2023-12-11T00:00:18.298239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0.0 210
42.0%
0.01 104
20.8%
0.02 51
 
10.2%
0.03 35
 
7.0%
0.04 13
 
2.6%
0.05 10
 
2.0%
0.06 10
 
2.0%
0.07 7
 
1.4%
0.08 6
 
1.2%
0.09 6
 
1.2%
Other values (33) 48
 
9.6%
ValueCountFrequency (%)
0.0 210
42.0%
0.01 104
20.8%
0.02 51
 
10.2%
0.03 35
 
7.0%
0.04 13
 
2.6%
0.05 10
 
2.0%
0.06 10
 
2.0%
0.07 7
 
1.4%
0.08 6
 
1.2%
0.09 6
 
1.2%
ValueCountFrequency (%)
7.06 1
0.2%
5.51 1
0.2%
5.13 1
0.2%
2.12 1
0.2%
1.86 1
0.2%
1.84 1
0.2%
1.58 1
0.2%
1.41 1
0.2%
1.15 1
0.2%
1.01 1
0.2%
Distinct42
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.12102
Minimum0
Maximum16.51
Zeros217
Zeros (%)43.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:00:18.680863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.02
95-th percentile0.191
Maximum16.51
Range16.51
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.93736977
Coefficient of variation (CV)7.7455773
Kurtosis203.87254
Mean0.12102
Median Absolute Deviation (MAD)0.01
Skewness13.241441
Sum60.51
Variance0.87866208
MonotonicityNot monotonic
2023-12-11T00:00:19.105477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0.0 217
43.4%
0.01 122
24.4%
0.02 38
 
7.6%
0.03 27
 
5.4%
0.04 19
 
3.8%
0.05 10
 
2.0%
0.06 8
 
1.6%
0.07 7
 
1.4%
0.08 5
 
1.0%
0.15 4
 
0.8%
Other values (32) 43
 
8.6%
ValueCountFrequency (%)
0.0 217
43.4%
0.01 122
24.4%
0.02 38
 
7.6%
0.03 27
 
5.4%
0.04 19
 
3.8%
0.05 10
 
2.0%
0.06 8
 
1.6%
0.07 7
 
1.4%
0.08 5
 
1.0%
0.09 2
 
0.4%
ValueCountFrequency (%)
16.51 1
0.2%
7.63 1
0.2%
6.12 1
0.2%
6.06 1
0.2%
5.56 1
0.2%
1.72 1
0.2%
1.61 1
0.2%
1.29 1
0.2%
0.55 1
0.2%
0.51 1
0.2%
Distinct43
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06268
Minimum0
Maximum6.94
Zeros235
Zeros (%)47.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:00:19.503003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.02
95-th percentile0.2105
Maximum6.94
Range6.94
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.36585697
Coefficient of variation (CV)5.8369012
Kurtosis260.48209
Mean0.06268
Median Absolute Deviation (MAD)0.01
Skewness14.828342
Sum31.34
Variance0.13385132
MonotonicityNot monotonic
2023-12-11T00:00:19.812643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0.0 235
47.0%
0.01 110
22.0%
0.02 41
 
8.2%
0.03 25
 
5.0%
0.04 17
 
3.4%
0.07 8
 
1.6%
0.08 7
 
1.4%
0.05 7
 
1.4%
0.06 4
 
0.8%
0.11 4
 
0.8%
Other values (33) 42
 
8.4%
ValueCountFrequency (%)
0.0 235
47.0%
0.01 110
22.0%
0.02 41
 
8.2%
0.03 25
 
5.0%
0.04 17
 
3.4%
0.05 7
 
1.4%
0.06 4
 
0.8%
0.07 8
 
1.6%
0.08 7
 
1.4%
0.09 1
 
0.2%
ValueCountFrequency (%)
6.94 1
0.2%
3.06 1
0.2%
1.51 1
0.2%
1.35 1
0.2%
0.94 1
0.2%
0.91 1
0.2%
0.9 1
0.2%
0.88 1
0.2%
0.71 1
0.2%
0.68 1
0.2%
Distinct34
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06394
Minimum0
Maximum11.69
Zeros238
Zeros (%)47.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:00:20.171979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.02
95-th percentile0.1415
Maximum11.69
Range11.69
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.55824112
Coefficient of variation (CV)8.7307025
Kurtosis381.72641
Mean0.06394
Median Absolute Deviation (MAD)0.01
Skewness18.754802
Sum31.97
Variance0.31163314
MonotonicityNot monotonic
2023-12-11T00:00:20.478476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0.0 238
47.6%
0.01 102
20.4%
0.02 45
 
9.0%
0.03 27
 
5.4%
0.04 20
 
4.0%
0.07 10
 
2.0%
0.05 8
 
1.6%
0.06 7
 
1.4%
0.08 5
 
1.0%
0.17 3
 
0.6%
Other values (24) 35
 
7.0%
ValueCountFrequency (%)
0.0 238
47.6%
0.01 102
20.4%
0.02 45
 
9.0%
0.03 27
 
5.4%
0.04 20
 
4.0%
0.05 8
 
1.6%
0.06 7
 
1.4%
0.07 10
 
2.0%
0.08 5
 
1.0%
0.09 3
 
0.6%
ValueCountFrequency (%)
11.69 1
0.2%
3.44 1
0.2%
2.2 1
0.2%
1.12 1
0.2%
0.79 1
0.2%
0.51 1
0.2%
0.5 1
0.2%
0.47 1
0.2%
0.41 1
0.2%
0.38 2
0.4%
Distinct33
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05212
Minimum0
Maximum9.25
Zeros268
Zeros (%)53.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:00:20.765425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.02
95-th percentile0.121
Maximum9.25
Range9.25
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.44316622
Coefficient of variation (CV)8.5028054
Kurtosis376.22692
Mean0.05212
Median Absolute Deviation (MAD)0
Skewness18.54412
Sum26.06
Variance0.1963963
MonotonicityNot monotonic
2023-12-11T00:00:21.042493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0.0 268
53.6%
0.01 89
 
17.8%
0.02 57
 
11.4%
0.03 18
 
3.6%
0.05 12
 
2.4%
0.04 9
 
1.8%
0.06 4
 
0.8%
0.08 4
 
0.8%
0.09 4
 
0.8%
0.1 3
 
0.6%
Other values (23) 32
 
6.4%
ValueCountFrequency (%)
0.0 268
53.6%
0.01 89
 
17.8%
0.02 57
 
11.4%
0.03 18
 
3.6%
0.04 9
 
1.8%
0.05 12
 
2.4%
0.06 4
 
0.8%
0.07 3
 
0.6%
0.08 4
 
0.8%
0.09 4
 
0.8%
ValueCountFrequency (%)
9.25 1
0.2%
2.68 1
0.2%
1.38 1
0.2%
1.37 1
0.2%
0.98 1
0.2%
0.74 1
0.2%
0.41 1
0.2%
0.36 1
0.2%
0.33 1
0.2%
0.28 1
0.2%

시간대23시~0시미만(AVG_23TMST)
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01866
Minimum0
Maximum0.47
Zeros298
Zeros (%)59.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:00:21.297573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.1
Maximum0.47
Range0.47
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.049238738
Coefficient of variation (CV)2.6387319
Kurtosis25.700551
Mean0.01866
Median Absolute Deviation (MAD)0
Skewness4.5926795
Sum9.33
Variance0.0024244533
MonotonicityNot monotonic
2023-12-11T00:00:21.591362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.0 298
59.6%
0.01 85
 
17.0%
0.02 38
 
7.6%
0.03 19
 
3.8%
0.04 11
 
2.2%
0.05 8
 
1.6%
0.06 5
 
1.0%
0.07 4
 
0.8%
0.17 3
 
0.6%
0.08 3
 
0.6%
Other values (15) 26
 
5.2%
ValueCountFrequency (%)
0.0 298
59.6%
0.01 85
 
17.0%
0.02 38
 
7.6%
0.03 19
 
3.8%
0.04 11
 
2.2%
0.05 8
 
1.6%
0.06 5
 
1.0%
0.07 4
 
0.8%
0.08 3
 
0.6%
0.09 3
 
0.6%
ValueCountFrequency (%)
0.47 1
 
0.2%
0.33 1
 
0.2%
0.31 1
 
0.2%
0.25 3
0.6%
0.24 1
 
0.2%
0.23 3
0.6%
0.22 1
 
0.2%
0.21 1
 
0.2%
0.2 2
0.4%
0.17 3
0.6%

Sample

년월(STD_YM)년월일(STD_YMD)블록코드(BLOCK_CD)X좌표(X_COORD)Y좌표(Y_COORD)유입지코드(INFLOW_CD)시간대0시~1시미만(AVG_00TMST)시간대1시~2시미만(AVG_01TMST)시간대2시~3시미만(AVG_02TMST)시간대3시~4시미만(AVG_03TMST)시간대4시~5시미만(AVG_04TMST)시간대5시~6시미만(AVG_05TMST)시간대6시~7시미만(AVG_06TMST)시간대7시~8시미만(AVG_07TMST)시간대8시~9시미만(AVG_08TMST)시간대9시~10시미만(AVG_09TMST)시간대10시~11시미만(AVG_10TMST)시간대11시~12시미만(AVG_11TMST)시간대12시~13시미만(AVG_12TMST)시간대13시~14시미만(AVG_13TMST)시간대14시~15시미만(AVG_14TMST)시간대15시~16시미만(AVG_15TMST)시간대16시~17시미만(AVG_16TMST)시간대17시~18시미만(AVG_17TMST)시간대18시~19시미만(AVG_18TMST)시간대19시~20시미만(AVG_19TMST)시간대20시~21시미만(AVG_20TMST)시간대21시~22시미만(AVG_21TMST)시간대22시~23시미만(AVG_22TMST)시간대23시~0시미만(AVG_23TMST)
0201602201602091*0*0*2*3*0*3*0*0*0*956764.51956924478300.00.00.00.010.00.00.00.030.00.00.00.010.070.040.080.00.010.050.00.00.940.010.00.0
1201511201511191*0*0*4*1*0*2*0*0*0*960057.8751955350115300.00.00.010.00.030.00.00.00.010.00.010.020.010.00.010.00.00.00.00.00.00.010.00.0
2201601201601231*0*0*2*4*0*1*0*0*0*957599.8751956976471500.00.00.010.00.00.00.00.02.30.020.170.010.00.010.020.140.00.610.00.00.00.010.080.0
3201508201508221*0*0*1*4*0*2*0*0*0*956225.81251955201112600.00.010.00.010.00.00.00.040.00.00.00.00.010.010.00.020.060.050.040.010.190.020.00.0
4201606201606301*0*0*4*2*0*2*0*0*0*960068.81251957233265000.00.00.00.00.00.00.010.00.00.00.00.010.050.041.010.00.00.00.030.010.00.00.00.01
5201511201511011*0*0*1*1*0*8*0*0*0*956762.6251957794272900.00.050.00.010.00.00.010.060.040.020.01.50.00.070.00.440.030.00.010.020.010.020.00.0
6201601201601121*0*0*8*1*0*2*0*0*0*956474.31251955515477700.020.00.00.00.00.00.00.010.00.510.020.00.010.00.010.00.010.00.140.00.490.040.020.01
7201605201605221*0*0*6*1*0*1*0*0*0*957205.18751955715471500.00.00.00.00.00.010.00.00.00.00.00.00.010.320.00.010.020.110.050.00.010.020.010.0
8201511201511091*0*0*8*2*0*6*0*0*0*957650.6251957230438000.00.00.00.00.00.00.010.00.00.00.050.020.00.00.150.010.150.00.00.050.010.00.00.05
9201511201511071*0*0*1*2*0*2*0*0*0*957504.3751956257457200.00.00.00.00.290.00.00.00.010.00.020.020.020.00.010.040.00.150.050.020.010.00.00.0
년월(STD_YM)년월일(STD_YMD)블록코드(BLOCK_CD)X좌표(X_COORD)Y좌표(Y_COORD)유입지코드(INFLOW_CD)시간대0시~1시미만(AVG_00TMST)시간대1시~2시미만(AVG_01TMST)시간대2시~3시미만(AVG_02TMST)시간대3시~4시미만(AVG_03TMST)시간대4시~5시미만(AVG_04TMST)시간대5시~6시미만(AVG_05TMST)시간대6시~7시미만(AVG_06TMST)시간대7시~8시미만(AVG_07TMST)시간대8시~9시미만(AVG_08TMST)시간대9시~10시미만(AVG_09TMST)시간대10시~11시미만(AVG_10TMST)시간대11시~12시미만(AVG_11TMST)시간대12시~13시미만(AVG_12TMST)시간대13시~14시미만(AVG_13TMST)시간대14시~15시미만(AVG_14TMST)시간대15시~16시미만(AVG_15TMST)시간대16시~17시미만(AVG_16TMST)시간대17시~18시미만(AVG_17TMST)시간대18시~19시미만(AVG_18TMST)시간대19시~20시미만(AVG_19TMST)시간대20시~21시미만(AVG_20TMST)시간대21시~22시미만(AVG_21TMST)시간대22시~23시미만(AVG_22TMST)시간대23시~0시미만(AVG_23TMST)
490201509201509041*0*0*3*3*0*4*0*0*0*960307.31251954941281700.00.00.00.010.00.00.00.00.00.020.040.00.010.00.00.00.010.030.010.020.00.240.010.0
491201606201606231*0*0*1*1*0*6*0*0*0*959024.01956109418000.00.00.00.010.00.00.00.00.00.00.010.010.00.010.00.050.020.00.070.00.010.040.050.02
492201601201601091*0*0*1*1*0*7*0*0*0*958875.6251954832468800.00.050.00.00.00.00.00.00.00.010.00.010.00.067.230.020.00.040.020.020.010.00.00.0
493201604201604301*0*0*8*1*0*8*0*0*0*959623.6251957588291550.00.00.00.00.00.010.00.00.00.00.020.00.030.010.010.010.010.020.230.110.00.00.010.02
494201508201508011*0*0*1*4*0*2*0*0*0*957404.31251957949287100.00.020.00.00.00.00.00.010.00.010.00.00.050.010.00.03.490.030.00.00.00.00.00.0
495201510201510011*0*0*7*2*0*5*0*0*0*960948.3751955947115000.00.00.00.00.00.00.00.00.00.00.020.00.00.010.010.030.010.00.080.00.00.00.00.0
496201508201508141*0*0*7*3*0*2*0*0*0*960210.01954784263800.00.00.00.00.00.00.00.00.00.00.030.00.040.010.00.010.00.030.00.040.020.00.020.01
497201603201603271*0*0*7*4*0*3*0*0*0*960068.1251955560441310.020.00.00.00.010.00.00.00.00.010.050.010.00.010.00.020.010.050.00.020.020.010.010.0
498201601201601281*0*0*1*4*0*1*0*0*0*954953.6251954581264400.00.010.00.00.00.00.00.030.030.00.00.030.00.00.250.00.00.00.060.020.00.00.050.0
499201512201512101*0*0*2*3*0*5*0*0*0*958732.81251955145448250.00.00.00.00.00.00.00.00.00.00.00.010.010.010.00.00.010.00.00.010.060.00.00.01