Overview

Dataset statistics

Number of variables58
Number of observations32
Missing cells822
Missing cells (%)44.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.4 KiB
Average record size in memory525.1 B

Variable types

Text1
Numeric57

Dataset

Description이 데이터는 고속열차 SRT의 승객 관련 자료로, 2019년 1월 ~ 2023년 9월 기간의 SRT 역별 월간 승차인원을 제공하는 자료입니다.
Author(주)에스알
URLhttps://www.data.go.kr/data/15060181/fileData.do

Alerts

2019년 1월 has 15 (46.9%) missing valuesMissing
2019년 2월 has 15 (46.9%) missing valuesMissing
2019년 3월 has 15 (46.9%) missing valuesMissing
2019년 4월 has 15 (46.9%) missing valuesMissing
2019년 5월 has 15 (46.9%) missing valuesMissing
2019년 6월 has 15 (46.9%) missing valuesMissing
2019년 7월 has 15 (46.9%) missing valuesMissing
2019년 8월 has 15 (46.9%) missing valuesMissing
2019년 9월 has 15 (46.9%) missing valuesMissing
2019년 10월 has 15 (46.9%) missing valuesMissing
2019년 11월 has 15 (46.9%) missing valuesMissing
2019년 12월 has 15 (46.9%) missing valuesMissing
2020년 1월 has 15 (46.9%) missing valuesMissing
2020년 2월 has 15 (46.9%) missing valuesMissing
2020년 3월 has 15 (46.9%) missing valuesMissing
2020년 4월 has 15 (46.9%) missing valuesMissing
2020년 5월 has 15 (46.9%) missing valuesMissing
2020년 6월 has 15 (46.9%) missing valuesMissing
2020년 7월 has 15 (46.9%) missing valuesMissing
2020년 8월 has 15 (46.9%) missing valuesMissing
2020년 9월 has 15 (46.9%) missing valuesMissing
2020년 10월 has 15 (46.9%) missing valuesMissing
2020년 11월 has 15 (46.9%) missing valuesMissing
2020년 12월 has 15 (46.9%) missing valuesMissing
2021년 1월 has 15 (46.9%) missing valuesMissing
2021년 2월 has 15 (46.9%) missing valuesMissing
2021년 3월 has 15 (46.9%) missing valuesMissing
2021년 4월 has 15 (46.9%) missing valuesMissing
2021년 5월 has 15 (46.9%) missing valuesMissing
2021년 6월 has 15 (46.9%) missing valuesMissing
2021년 7월 has 15 (46.9%) missing valuesMissing
2021년 8월 has 15 (46.9%) missing valuesMissing
2021년 9월 has 15 (46.9%) missing valuesMissing
2021년 10월 has 15 (46.9%) missing valuesMissing
2021년 11월 has 15 (46.9%) missing valuesMissing
2021년 12월 has 15 (46.9%) missing valuesMissing
2022년 1월 has 15 (46.9%) missing valuesMissing
2022년 2월 has 15 (46.9%) missing valuesMissing
2022년 3월 has 14 (43.8%) missing valuesMissing
2022년 4월 has 14 (43.8%) missing valuesMissing
2022년 5월 has 14 (43.8%) missing valuesMissing
2022년 6월 has 14 (43.8%) missing valuesMissing
2022년 7월 has 14 (43.8%) missing valuesMissing
2022년 8월 has 14 (43.8%) missing valuesMissing
2022년 9월 has 14 (43.8%) missing valuesMissing
2022년 10월 has 14 (43.8%) missing valuesMissing
2022년 11월 has 14 (43.8%) missing valuesMissing
2022년 12월 has 14 (43.8%) missing valuesMissing
2023년 1월 has 14 (43.8%) missing valuesMissing
2023년 2월 has 14 (43.8%) missing valuesMissing
2023년 3월 has 14 (43.8%) missing valuesMissing
2023년 4월 has 14 (43.8%) missing valuesMissing
2023년 5월 has 14 (43.8%) missing valuesMissing
2023년 6월 has 14 (43.8%) missing valuesMissing
2023년 7월 has 14 (43.8%) missing valuesMissing
2023년 8월 has 14 (43.8%) missing valuesMissing
승차역 has unique valuesUnique
2023년 9월 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:14:38.286575
Analysis finished2023-12-12 08:14:38.779532
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

승차역
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-12T17:14:38.935706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length2.5625
Min length2

Characters and Unicode

Total characters82
Distinct characters52
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row수서
2nd row동탄
3rd row평택지제
4th row천안아산
5th row오송
ValueCountFrequency (%)
수서 1
 
3.1%
동탄 1
 
3.1%
여천 1
 
3.1%
순천 1
 
3.1%
구례구 1
 
3.1%
곡성 1
 
3.1%
남원 1
 
3.1%
전주 1
 
3.1%
포항 1
 
3.1%
진주 1
 
3.1%
Other values (22) 22
68.8%
2023-12-12T17:14:39.401839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6
 
7.3%
5
 
6.1%
5
 
6.1%
4
 
4.9%
3
 
3.7%
3
 
3.7%
2
 
2.4%
2
 
2.4%
2
 
2.4%
2
 
2.4%
Other values (42) 48
58.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 78
95.1%
Uppercase Letter 4
 
4.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6
 
7.7%
5
 
6.4%
5
 
6.4%
4
 
5.1%
3
 
3.8%
3
 
3.8%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
Other values (38) 44
56.4%
Uppercase Letter
ValueCountFrequency (%)
E 1
25.0%
X 1
25.0%
P 1
25.0%
O 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 78
95.1%
Latin 4
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6
 
7.7%
5
 
6.4%
5
 
6.4%
4
 
5.1%
3
 
3.8%
3
 
3.8%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
Other values (38) 44
56.4%
Latin
ValueCountFrequency (%)
E 1
25.0%
X 1
25.0%
P 1
25.0%
O 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 78
95.1%
ASCII 4
 
4.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
6
 
7.7%
5
 
6.4%
5
 
6.4%
4
 
5.1%
3
 
3.8%
3
 
3.8%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
Other values (38) 44
56.4%
ASCII
ValueCountFrequency (%)
E 1
25.0%
X 1
25.0%
P 1
25.0%
O 1
25.0%

2019년 1월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean112738.71
Minimum2031
Maximum627146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:39.525618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2031
5-th percentile8734.2
Q124859
median75126
Q3133009
95-th percentile323467.6
Maximum627146
Range625115
Interquartile range (IQR)108150

Descriptive statistics

Standard deviation149984.04
Coefficient of variation (CV)1.3303687
Kurtosis9.1242399
Mean112738.71
Median Absolute Deviation (MAD)51861
Skewness2.8035686
Sum1916558
Variance2.2495214 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:39.662371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
134649 1
 
3.1%
23265 1
 
3.1%
12069 1
 
3.1%
117524 1
 
3.1%
10410 1
 
3.1%
54140 1
 
3.1%
2031 1
 
3.1%
247548 1
 
3.1%
627146 1
 
3.1%
25806 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2031 1
3.1%
10410 1
3.1%
12069 1
3.1%
23265 1
3.1%
24859 1
3.1%
25806 1
3.1%
53606 1
3.1%
54140 1
3.1%
75126 1
3.1%
80616 1
3.1%
ValueCountFrequency (%)
627146 1
3.1%
247548 1
3.1%
211786 1
3.1%
134649 1
3.1%
133009 1
3.1%
117524 1
3.1%
82968 1
3.1%
80616 1
3.1%
75126 1
3.1%
54140 1
3.1%

2019년 2월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean105537.41
Minimum2099
Maximum579027
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:39.798155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2099
5-th percentile8885.4
Q122916
median67038
Q3119751
95-th percentile307295.8
Maximum579027
Range576928
Interquartile range (IQR)96835

Descriptive statistics

Standard deviation139237.66
Coefficient of variation (CV)1.3193204
Kurtosis8.7259663
Mean105537.41
Median Absolute Deviation (MAD)44142
Skewness2.7461767
Sum1794136
Variance1.9387127 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:39.920300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
125045 1
 
3.1%
22896 1
 
3.1%
11667 1
 
3.1%
110589 1
 
3.1%
10582 1
 
3.1%
50672 1
 
3.1%
2099 1
 
3.1%
239363 1
 
3.1%
579027 1
 
3.1%
25611 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2099 1
3.1%
10582 1
3.1%
11667 1
3.1%
22896 1
3.1%
22916 1
3.1%
25611 1
3.1%
50672 1
3.1%
51730 1
3.1%
67038 1
3.1%
73292 1
3.1%
ValueCountFrequency (%)
579027 1
3.1%
239363 1
3.1%
204095 1
3.1%
125045 1
3.1%
119751 1
3.1%
110589 1
3.1%
77763 1
3.1%
73292 1
3.1%
67038 1
3.1%
51730 1
3.1%

2019년 3월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean114647.18
Minimum2067
Maximum626627
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:40.084785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2067
5-th percentile9046.2
Q124416
median78044
Q3137216
95-th percentile320983.8
Maximum626627
Range624560
Interquartile range (IQR)112800

Descriptive statistics

Standard deviation149793.01
Coefficient of variation (CV)1.3065564
Kurtosis8.9558371
Mean114647.18
Median Absolute Deviation (MAD)55121
Skewness2.769189
Sum1949002
Variance2.2437945 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:40.217616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
137216 1
 
3.1%
22923 1
 
3.1%
11843 1
 
3.1%
116452 1
 
3.1%
10791 1
 
3.1%
56883 1
 
3.1%
2067 1
 
3.1%
244573 1
 
3.1%
626627 1
 
3.1%
29644 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2067 1
3.1%
10791 1
3.1%
11843 1
3.1%
22923 1
3.1%
24416 1
3.1%
29644 1
3.1%
56883 1
3.1%
57297 1
3.1%
78044 1
3.1%
82627 1
3.1%
ValueCountFrequency (%)
626627 1
3.1%
244573 1
3.1%
221352 1
3.1%
138613 1
3.1%
137216 1
3.1%
116452 1
3.1%
87634 1
3.1%
82627 1
3.1%
78044 1
3.1%
57297 1
3.1%

2019년 4월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean113553
Minimum2410
Maximum626476
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:40.345931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2410
5-th percentile9265.2
Q124122
median79094
Q3135709
95-th percentile314408
Maximum626476
Range624066
Interquartile range (IQR)111587

Descriptive statistics

Standard deviation148921.25
Coefficient of variation (CV)1.3114691
Kurtosis9.3253533
Mean113553
Median Absolute Deviation (MAD)56061
Skewness2.8290591
Sum1930401
Variance2.2177539 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:40.472900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
137221 1
 
3.1%
23033 1
 
3.1%
12667 1
 
3.1%
116820 1
 
3.1%
10979 1
 
3.1%
55910 1
 
3.1%
2410 1
 
3.1%
236391 1
 
3.1%
626476 1
 
3.1%
32595 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2410 1
3.1%
10979 1
3.1%
12667 1
3.1%
23033 1
3.1%
24122 1
3.1%
32595 1
3.1%
55910 1
3.1%
57033 1
3.1%
79094 1
3.1%
79308 1
3.1%
ValueCountFrequency (%)
626476 1
3.1%
236391 1
3.1%
214430 1
3.1%
137221 1
3.1%
135709 1
3.1%
116820 1
3.1%
86203 1
3.1%
79308 1
3.1%
79094 1
3.1%
57033 1
3.1%

2019년 5월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean119469.94
Minimum2698
Maximum654936
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:40.607670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2698
5-th percentile9818.8
Q124969
median82051
Q3141300
95-th percentile338027.2
Maximum654936
Range652238
Interquartile range (IQR)116331

Descriptive statistics

Standard deviation156290.86
Coefficient of variation (CV)1.3082024
Kurtosis9.0729073
Mean119469.94
Median Absolute Deviation (MAD)57459
Skewness2.7908723
Sum2030989
Variance2.4426833 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:40.747234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
144425 1
 
3.1%
24969 1
 
3.1%
12807 1
 
3.1%
123519 1
 
3.1%
11599 1
 
3.1%
61182 1
 
3.1%
2698 1
 
3.1%
258800 1
 
3.1%
654936 1
 
3.1%
32136 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2698 1
3.1%
11599 1
3.1%
12807 1
3.1%
24592 1
3.1%
24969 1
3.1%
32136 1
3.1%
59610 1
3.1%
61182 1
3.1%
82051 1
3.1%
83211 1
3.1%
ValueCountFrequency (%)
654936 1
3.1%
258800 1
3.1%
223357 1
3.1%
144425 1
3.1%
141300 1
3.1%
123519 1
3.1%
89797 1
3.1%
83211 1
3.1%
82051 1
3.1%
61182 1
3.1%

2019년 6월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean114670.88
Minimum2367
Maximum625416
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:40.878422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2367
5-th percentile9147.8
Q123839
median79902
Q3136225
95-th percentile324899.2
Maximum625416
Range623049
Interquartile range (IQR)112386

Descriptive statistics

Standard deviation149406.46
Coefficient of variation (CV)1.3029154
Kurtosis8.968447
Mean114670.88
Median Absolute Deviation (MAD)56251
Skewness2.7725665
Sum1949405
Variance2.2322289 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:41.079320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
137403 1
 
3.1%
23839 1
 
3.1%
12065 1
 
3.1%
118270 1
 
3.1%
10843 1
 
3.1%
57638 1
 
3.1%
2367 1
 
3.1%
249770 1
 
3.1%
625416 1
 
3.1%
30271 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2367 1
3.1%
10843 1
3.1%
12065 1
3.1%
23651 1
3.1%
23839 1
3.1%
30271 1
3.1%
57638 1
3.1%
59050 1
3.1%
79902 1
3.1%
80737 1
3.1%
ValueCountFrequency (%)
625416 1
3.1%
249770 1
3.1%
214728 1
3.1%
137403 1
3.1%
136225 1
3.1%
118270 1
3.1%
87230 1
3.1%
80737 1
3.1%
79902 1
3.1%
59050 1
3.1%

2019년 7월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean116623.82
Minimum2566
Maximum644584
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:41.262727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2566
5-th percentile9150.8
Q124779
median81514
Q3136453
95-th percentile328691.2
Maximum644584
Range642018
Interquartile range (IQR)111674

Descriptive statistics

Standard deviation153610.57
Coefficient of variation (CV)1.3171457
Kurtosis9.2252299
Mean116623.82
Median Absolute Deviation (MAD)56735
Skewness2.8139721
Sum1982605
Variance2.3596208 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:41.433971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
141561 1
 
3.1%
23674 1
 
3.1%
12199 1
 
3.1%
122288 1
 
3.1%
10797 1
 
3.1%
56490 1
 
3.1%
2566 1
 
3.1%
249718 1
 
3.1%
644584 1
 
3.1%
28956 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2566 1
3.1%
10797 1
3.1%
12199 1
3.1%
23674 1
3.1%
24779 1
3.1%
28956 1
3.1%
56490 1
3.1%
60158 1
3.1%
81514 1
3.1%
81995 1
3.1%
ValueCountFrequency (%)
644584 1
3.1%
249718 1
3.1%
217093 1
3.1%
141561 1
3.1%
136453 1
3.1%
122288 1
3.1%
87780 1
3.1%
81995 1
3.1%
81514 1
3.1%
60158 1
3.1%

2019년 8월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean119047.53
Minimum2556
Maximum648931
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:41.614458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2556
5-th percentile9921.6
Q127230
median81211
Q3136435
95-th percentile343351
Maximum648931
Range646375
Interquartile range (IQR)109205

Descriptive statistics

Standard deviation155174.67
Coefficient of variation (CV)1.3034682
Kurtosis8.923476
Mean119047.53
Median Absolute Deviation (MAD)55224
Skewness2.7728272
Sum2023808
Variance2.4079179 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:41.752068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
143062 1
 
3.1%
27230 1
 
3.1%
12934 1
 
3.1%
122044 1
 
3.1%
11763 1
 
3.1%
58393 1
 
3.1%
2556 1
 
3.1%
266956 1
 
3.1%
648931 1
 
3.1%
32458 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2556 1
3.1%
11763 1
3.1%
12934 1
3.1%
25034 1
3.1%
27230 1
3.1%
32458 1
3.1%
58393 1
3.1%
62961 1
3.1%
81211 1
3.1%
84048 1
3.1%
ValueCountFrequency (%)
648931 1
3.1%
266956 1
3.1%
219882 1
3.1%
143062 1
3.1%
136435 1
3.1%
122044 1
3.1%
87910 1
3.1%
84048 1
3.1%
81211 1
3.1%
62961 1
3.1%

2019년 9월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean115509.29
Minimum2722
Maximum637593
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:41.913343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2722
5-th percentile10071.6
Q125522
median76981
Q3135304
95-th percentile318814.6
Maximum637593
Range634871
Interquartile range (IQR)109782

Descriptive statistics

Standard deviation151509.07
Coefficient of variation (CV)1.3116613
Kurtosis9.3480837
Mean115509.29
Median Absolute Deviation (MAD)52786
Skewness2.8328556
Sum1963658
Variance2.2954998 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:42.071855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
140114 1
 
3.1%
25522 1
 
3.1%
12298 1
 
3.1%
122351 1
 
3.1%
11909 1
 
3.1%
59037 1
 
3.1%
2722 1
 
3.1%
239120 1
 
3.1%
637593 1
 
3.1%
30197 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2722 1
3.1%
11909 1
3.1%
12298 1
3.1%
24195 1
3.1%
25522 1
3.1%
30197 1
3.1%
59037 1
3.1%
59445 1
3.1%
76981 1
3.1%
80732 1
3.1%
ValueCountFrequency (%)
637593 1
3.1%
239120 1
3.1%
219086 1
3.1%
140114 1
3.1%
135304 1
3.1%
122351 1
3.1%
87052 1
3.1%
80732 1
3.1%
76981 1
3.1%
59445 1
3.1%

2019년 10월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean124895.18
Minimum2836
Maximum680627
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:42.228144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2836
5-th percentile10890.4
Q128284
median87278
Q3148626
95-th percentile346652.6
Maximum680627
Range677791
Interquartile range (IQR)120342

Descriptive statistics

Standard deviation161677.59
Coefficient of variation (CV)1.2945062
Kurtosis9.2297863
Mean124895.18
Median Absolute Deviation (MAD)61348
Skewness2.8118956
Sum2123218
Variance2.6139642 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:42.403055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
149262 1
 
3.1%
28284 1
 
3.1%
12904 1
 
3.1%
129726 1
 
3.1%
13021 1
 
3.1%
63429 1
 
3.1%
2836 1
 
3.1%
263159 1
 
3.1%
680627 1
 
3.1%
38466 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2836 1
3.1%
12904 1
3.1%
13021 1
3.1%
24957 1
3.1%
28284 1
3.1%
38466 1
3.1%
63429 1
3.1%
64648 1
3.1%
87278 1
3.1%
88445 1
3.1%
ValueCountFrequency (%)
680627 1
3.1%
263159 1
3.1%
231513 1
3.1%
149262 1
3.1%
148626 1
3.1%
129726 1
3.1%
96037 1
3.1%
88445 1
3.1%
87278 1
3.1%
64648 1
3.1%

2019년 11월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean126655.24
Minimum2895
Maximum684894
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:42.560676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2895
5-th percentile10847
Q126840
median89451
Q3150558
95-th percentile352399.6
Maximum684894
Range681999
Interquartile range (IQR)123718

Descriptive statistics

Standard deviation163369.88
Coefficient of variation (CV)1.2898786
Kurtosis8.944448
Mean126655.24
Median Absolute Deviation (MAD)62611
Skewness2.7641454
Sum2153139
Variance2.6689717 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:42.727162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
150558 1
 
3.1%
26840 1
 
3.1%
12835 1
 
3.1%
133044 1
 
3.1%
14193 1
 
3.1%
62908 1
 
3.1%
2895 1
 
3.1%
269276 1
 
3.1%
684894 1
 
3.1%
34811 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2895 1
3.1%
12835 1
3.1%
14193 1
3.1%
25451 1
3.1%
26840 1
3.1%
34811 1
3.1%
62908 1
3.1%
65795 1
3.1%
89451 1
3.1%
89633 1
3.1%
ValueCountFrequency (%)
684894 1
3.1%
269276 1
3.1%
240236 1
3.1%
152219 1
3.1%
150558 1
3.1%
133044 1
3.1%
98100 1
3.1%
89633 1
3.1%
89451 1
3.1%
65795 1
3.1%

2019년 12월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean126562.29
Minimum2587
Maximum695510
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:42.898095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2587
5-th percentile10008.6
Q126482
median86819
Q3148254
95-th percentile357352.4
Maximum695510
Range692923
Interquartile range (IQR)121772

Descriptive statistics

Standard deviation165917.61
Coefficient of variation (CV)1.3109561
Kurtosis9.1155276
Mean126562.29
Median Absolute Deviation (MAD)61435
Skewness2.7950304
Sum2151559
Variance2.7528654 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:43.050436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
152622 1
 
3.1%
26482 1
 
3.1%
12978 1
 
3.1%
132115 1
 
3.1%
11864 1
 
3.1%
62515 1
 
3.1%
2587 1
 
3.1%
272813 1
 
3.1%
695510 1
 
3.1%
30528 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2587 1
3.1%
11864 1
3.1%
12978 1
3.1%
25069 1
3.1%
26482 1
3.1%
30528 1
3.1%
62515 1
3.1%
69102 1
3.1%
86819 1
3.1%
89254 1
3.1%
ValueCountFrequency (%)
695510 1
3.1%
272813 1
3.1%
235992 1
3.1%
152622 1
3.1%
148254 1
3.1%
132115 1
3.1%
97055 1
3.1%
89254 1
3.1%
86819 1
3.1%
69102 1
3.1%

2020년 1월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean120102.82
Minimum2752
Maximum655365
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:43.215243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2752
5-th percentile10272.8
Q126608
median80749
Q3133422
95-th percentile339384.2
Maximum655365
Range652613
Interquartile range (IQR)106814

Descriptive statistics

Standard deviation156527.16
Coefficient of variation (CV)1.3032762
Kurtosis8.9826499
Mean120102.82
Median Absolute Deviation (MAD)54141
Skewness2.7754478
Sum2041748
Variance2.4500751 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:43.708896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
150813 1
 
3.1%
26608 1
 
3.1%
13012 1
 
3.1%
126873 1
 
3.1%
12153 1
 
3.1%
60060 1
 
3.1%
2752 1
 
3.1%
260389 1
 
3.1%
655365 1
 
3.1%
28968 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2752 1
3.1%
12153 1
3.1%
13012 1
3.1%
24112 1
3.1%
26608 1
3.1%
28968 1
3.1%
60060 1
3.1%
65428 1
3.1%
80749 1
3.1%
86638 1
3.1%
ValueCountFrequency (%)
655365 1
3.1%
260389 1
3.1%
226087 1
3.1%
150813 1
3.1%
133422 1
3.1%
126873 1
3.1%
88319 1
3.1%
86638 1
3.1%
80749 1
3.1%
65428 1
3.1%

2020년 2월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean80009.588
Minimum1641
Maximum453472
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:43.881565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1641
5-th percentile6586.6
Q117296
median56724
Q394347
95-th percentile218831.2
Maximum453472
Range451831
Interquartile range (IQR)77051

Descriptive statistics

Standard deviation106419.9
Coefficient of variation (CV)1.3300893
Kurtosis10.289889
Mean80009.588
Median Absolute Deviation (MAD)39428
Skewness2.9784274
Sum1360163
Variance1.1325194 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:44.038240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
100071 1
 
3.1%
17296 1
 
3.1%
9237 1
 
3.1%
81959 1
 
3.1%
7823 1
 
3.1%
40433 1
 
3.1%
1641 1
 
3.1%
160171 1
 
3.1%
453472 1
 
3.1%
18356 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
1641 1
3.1%
7823 1
3.1%
9237 1
3.1%
16225 1
3.1%
17296 1
3.1%
18356 1
3.1%
40433 1
3.1%
47317 1
3.1%
56724 1
3.1%
59682 1
3.1%
ValueCountFrequency (%)
453472 1
3.1%
160171 1
3.1%
131694 1
3.1%
100071 1
3.1%
94347 1
3.1%
81959 1
3.1%
63715 1
3.1%
59682 1
3.1%
56724 1
3.1%
47317 1
3.1%

2020년 3월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean45750.647
Minimum1076
Maximum266782
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:44.189350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1076
5-th percentile4935.2
Q18040
median32615
Q354724
95-th percentile118041.2
Maximum266782
Range265706
Interquartile range (IQR)46684

Descriptive statistics

Standard deviation61491.179
Coefficient of variation (CV)1.3440505
Kurtosis11.648251
Mean45750.647
Median Absolute Deviation (MAD)24575
Skewness3.192944
Sum777761
Variance3.7811651 × 109
MonotonicityNot monotonic
2023-12-12T17:14:44.347555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
63428 1
 
3.1%
11788 1
 
3.1%
6959 1
 
3.1%
57555 1
 
3.1%
5900 1
 
3.1%
28934 1
 
3.1%
1076 1
 
3.1%
80856 1
 
3.1%
266782 1
 
3.1%
7902 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
1076 1
3.1%
5900 1
3.1%
6959 1
3.1%
7902 1
3.1%
8040 1
3.1%
11788 1
3.1%
28934 1
3.1%
30884 1
3.1%
32615 1
3.1%
37799 1
3.1%
ValueCountFrequency (%)
266782 1
3.1%
80856 1
3.1%
63428 1
3.1%
57555 1
3.1%
54724 1
3.1%
42343 1
3.1%
40176 1
3.1%
37799 1
3.1%
32615 1
3.1%
30884 1
3.1%

2020년 4월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean64726.529
Minimum1489
Maximum370144
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:44.471209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1489
5-th percentile6157.8
Q113812
median46116
Q378789
95-th percentile168482.4
Maximum370144
Range368655
Interquartile range (IQR)64977

Descriptive statistics

Standard deviation85755.182
Coefficient of variation (CV)1.3248846
Kurtosis11.108196
Mean64726.529
Median Absolute Deviation (MAD)32563
Skewness3.1009392
Sum1100351
Variance7.3539512 × 109
MonotonicityNot monotonic
2023-12-12T17:14:44.608872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
82716 1
 
3.1%
14341 1
 
3.1%
8380 1
 
3.1%
70600 1
 
3.1%
7325 1
 
3.1%
35719 1
 
3.1%
1489 1
 
3.1%
118067 1
 
3.1%
370144 1
 
3.1%
13553 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
1489 1
3.1%
7325 1
3.1%
8380 1
3.1%
13553 1
3.1%
13812 1
3.1%
14341 1
3.1%
35719 1
3.1%
41338 1
3.1%
46116 1
3.1%
50840 1
3.1%
ValueCountFrequency (%)
370144 1
3.1%
118067 1
3.1%
92000 1
3.1%
82716 1
3.1%
78789 1
3.1%
70600 1
3.1%
55122 1
3.1%
50840 1
3.1%
46116 1
3.1%
41338 1
3.1%

2020년 5월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean90656.235
Minimum2130
Maximum496445
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:44.724808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2130
5-th percentile8745.2
Q121437
median67072
Q3109443
95-th percentile240497
Maximum496445
Range494315
Interquartile range (IQR)88006

Descriptive statistics

Standard deviation116214.74
Coefficient of variation (CV)1.2819277
Kurtosis10.023861
Mean90656.235
Median Absolute Deviation (MAD)45207
Skewness2.9248636
Sum1541156
Variance1.3505866 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:44.843149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
109451 1
 
3.1%
21437 1
 
3.1%
11098 1
 
3.1%
99200 1
 
3.1%
10399 1
 
3.1%
49167 1
 
3.1%
2130 1
 
3.1%
176510 1
 
3.1%
496445 1
 
3.1%
21865 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2130 1
3.1%
10399 1
3.1%
11098 1
3.1%
19555 1
3.1%
21437 1
3.1%
21865 1
3.1%
49167 1
3.1%
54299 1
3.1%
67072 1
3.1%
69387 1
3.1%
ValueCountFrequency (%)
496445 1
3.1%
176510 1
3.1%
151489 1
3.1%
109451 1
3.1%
109443 1
3.1%
99200 1
3.1%
72209 1
3.1%
69387 1
3.1%
67072 1
3.1%
54299 1
3.1%

2020년 6월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean91510
Minimum1969
Maximum510535
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:44.957123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1969
5-th percentile7877
Q120213
median64353
Q3105973
95-th percentile241367
Maximum510535
Range508566
Interquartile range (IQR)85760

Descriptive statistics

Standard deviation119528.11
Coefficient of variation (CV)1.3061754
Kurtosis10.232678
Mean91510
Median Absolute Deviation (MAD)44140
Skewness2.9629299
Sum1555670
Variance1.428697 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:45.074316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
112983 1
 
3.1%
20199 1
 
3.1%
10628 1
 
3.1%
93692 1
 
3.1%
9354 1
 
3.1%
47563 1
 
3.1%
1969 1
 
3.1%
174075 1
 
3.1%
510535 1
 
3.1%
21577 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
1969 1
3.1%
9354 1
3.1%
10628 1
3.1%
20199 1
3.1%
20213 1
3.1%
21577 1
3.1%
47563 1
3.1%
56506 1
3.1%
64353 1
3.1%
72577 1
3.1%
ValueCountFrequency (%)
510535 1
3.1%
174075 1
3.1%
159304 1
3.1%
112983 1
3.1%
105973 1
3.1%
93692 1
3.1%
74169 1
3.1%
72577 1
3.1%
64353 1
3.1%
56506 1
3.1%

2020년 7월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean99493.235
Minimum2175
Maximum560347
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:45.182155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2175
5-th percentile8334.2
Q122191
median69384
Q3111614
95-th percentile271158.2
Maximum560347
Range558172
Interquartile range (IQR)89423

Descriptive statistics

Standard deviation132034.11
Coefficient of variation (CV)1.3270662
Kurtosis10.002971
Mean99493.235
Median Absolute Deviation (MAD)47193
Skewness2.9391832
Sum1691385
Variance1.7433005 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:45.290596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
124456 1
 
3.1%
19677 1
 
3.1%
11211 1
 
3.1%
83830 1
 
3.1%
9874 1
 
3.1%
49671 1
 
3.1%
2175 1
 
3.1%
198861 1
 
3.1%
560347 1
 
3.1%
24851 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2175 1
3.1%
9874 1
3.1%
11211 1
3.1%
19677 1
3.1%
22191 1
3.1%
24851 1
3.1%
49671 1
3.1%
62884 1
3.1%
69384 1
3.1%
78213 1
3.1%
ValueCountFrequency (%)
560347 1
3.1%
198861 1
3.1%
182367 1
3.1%
124456 1
3.1%
111614 1
3.1%
83830 1
3.1%
79779 1
3.1%
78213 1
3.1%
69384 1
3.1%
62884 1
3.1%

2020년 8월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean91016.882
Minimum2045
Maximum496939
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:45.424491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2045
5-th percentile8318.6
Q122051
median63079
Q3100473
95-th percentile254621.4
Maximum496939
Range494894
Interquartile range (IQR)78422

Descriptive statistics

Standard deviation117659.7
Coefficient of variation (CV)1.2927239
Kurtosis9.4173153
Mean91016.882
Median Absolute Deviation (MAD)41028
Skewness2.8470588
Sum1547287
Variance1.3843806 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:45.582416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
112553 1
 
3.1%
22051 1
 
3.1%
9887 1
 
3.1%
87304 1
 
3.1%
9997 1
 
3.1%
46286 1
 
3.1%
2045 1
 
3.1%
194042 1
 
3.1%
496939 1
 
3.1%
26231 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2045 1
3.1%
9887 1
3.1%
9997 1
3.1%
19536 1
3.1%
22051 1
3.1%
26231 1
3.1%
46286 1
3.1%
56031 1
3.1%
63079 1
3.1%
66745 1
3.1%
ValueCountFrequency (%)
496939 1
3.1%
194042 1
3.1%
164332 1
3.1%
112553 1
3.1%
100473 1
3.1%
87304 1
3.1%
69756 1
3.1%
66745 1
3.1%
63079 1
3.1%
56031 1
3.1%

2020년 9월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean71325.588
Minimum1561
Maximum403908
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:45.746441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1561
5-th percentile6110.6
Q116514
median48131
Q386503
95-th percentile184086.4
Maximum403908
Range402347
Interquartile range (IQR)69989

Descriptive statistics

Standard deviation94250.561
Coefficient of variation (CV)1.321413
Kurtosis10.585083
Mean71325.588
Median Absolute Deviation (MAD)33767
Skewness3.0198641
Sum1212535
Variance8.8831682 × 109
MonotonicityNot monotonic
2023-12-12T17:14:45.917140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
89919 1
 
3.1%
14364 1
 
3.1%
8047 1
 
3.1%
67134 1
 
3.1%
7248 1
 
3.1%
36575 1
 
3.1%
1561 1
 
3.1%
123529 1
 
3.1%
403908 1
 
3.1%
17188 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
1561 1
3.1%
7248 1
3.1%
8047 1
3.1%
14364 1
3.1%
16514 1
3.1%
17188 1
3.1%
36575 1
3.1%
46986 1
3.1%
48131 1
3.1%
56534 1
3.1%
ValueCountFrequency (%)
403908 1
3.1%
129131 1
3.1%
123529 1
3.1%
89919 1
3.1%
86503 1
3.1%
67134 1
3.1%
59263 1
3.1%
56534 1
3.1%
48131 1
3.1%
46986 1
3.1%

2020년 10월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean93266.471
Minimum2273
Maximum507604
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:46.048300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2273
5-th percentile8436.2
Q121269
median64697
Q3109316
95-th percentile242426.4
Maximum507604
Range505331
Interquartile range (IQR)88047

Descriptive statistics

Standard deviation119201.52
Coefficient of variation (CV)1.2780747
Kurtosis9.7864406
Mean93266.471
Median Absolute Deviation (MAD)44158
Skewness2.8883462
Sum1585530
Variance1.4209001 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:46.164803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
114965 1
 
3.1%
21269 1
 
3.1%
10811 1
 
3.1%
97567 1
 
3.1%
9977 1
 
3.1%
48432 1
 
3.1%
2273 1
 
3.1%
171645 1
 
3.1%
507604 1
 
3.1%
25436 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2273 1
3.1%
9977 1
3.1%
10811 1
3.1%
20539 1
3.1%
21269 1
3.1%
25436 1
3.1%
48432 1
3.1%
59315 1
3.1%
64697 1
3.1%
71526 1
3.1%
ValueCountFrequency (%)
507604 1
3.1%
176132 1
3.1%
171645 1
3.1%
114965 1
3.1%
109316 1
3.1%
97567 1
3.1%
74026 1
3.1%
71526 1
3.1%
64697 1
3.1%
59315 1
3.1%

2020년 11월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean96984.941
Minimum2200
Maximum537641
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:46.279034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2200
5-th percentile9038.4
Q120607
median65499
Q3114648
95-th percentile251761
Maximum537641
Range535441
Interquartile range (IQR)94041

Descriptive statistics

Standard deviation126036.16
Coefficient of variation (CV)1.2995436
Kurtosis10.088394
Mean96984.941
Median Absolute Deviation (MAD)45451
Skewness2.9399682
Sum1648744
Variance1.5885114 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:46.408204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
121058 1
 
3.1%
20607 1
 
3.1%
10748 1
 
3.1%
97568 1
 
3.1%
11013 1
 
3.1%
49646 1
 
3.1%
2200 1
 
3.1%
180291 1
 
3.1%
537641 1
 
3.1%
26991 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2200 1
3.1%
10748 1
3.1%
11013 1
3.1%
20048 1
3.1%
20607 1
3.1%
26991 1
3.1%
49646 1
3.1%
61799 1
3.1%
65499 1
3.1%
75547 1
3.1%
ValueCountFrequency (%)
537641 1
3.1%
180291 1
3.1%
176669 1
3.1%
121058 1
3.1%
114648 1
3.1%
97568 1
3.1%
76771 1
3.1%
75547 1
3.1%
65499 1
3.1%
61799 1
3.1%

2020년 12월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean64079.235
Minimum1521
Maximum352151
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:46.531764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1521
5-th percentile5829
Q114226
median46086
Q375974
95-th percentile165103
Maximum352151
Range350630
Interquartile range (IQR)61748

Descriptive statistics

Standard deviation82223.763
Coefficient of variation (CV)1.2831577
Kurtosis10.200086
Mean64079.235
Median Absolute Deviation (MAD)31860
Skewness2.9453637
Sum1089347
Variance6.7607471 × 109
MonotonicityNot monotonic
2023-12-12T17:14:46.656516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
83938 1
 
3.1%
14226 1
 
3.1%
7516 1
 
3.1%
67262 1
 
3.1%
6906 1
 
3.1%
32095 1
 
3.1%
1521 1
 
3.1%
106404 1
 
3.1%
352151 1
 
3.1%
14755 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
1521 1
3.1%
6906 1
3.1%
7516 1
3.1%
13741 1
3.1%
14226 1
3.1%
14755 1
3.1%
32095 1
3.1%
42382 1
3.1%
46086 1
3.1%
50892 1
3.1%
ValueCountFrequency (%)
352151 1
3.1%
118341 1
3.1%
106404 1
3.1%
83938 1
3.1%
75974 1
3.1%
67262 1
3.1%
55157 1
3.1%
50892 1
3.1%
46086 1
3.1%
42382 1
3.1%

2021년 1월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean61516.412
Minimum1456
Maximum331185
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:46.775866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1456
5-th percentile5519.2
Q113850
median44234
Q370141
95-th percentile155734.6
Maximum331185
Range329729
Interquartile range (IQR)56291

Descriptive statistics

Standard deviation77548.641
Coefficient of variation (CV)1.2606171
Kurtosis9.8083434
Mean61516.412
Median Absolute Deviation (MAD)30384
Skewness2.8762013
Sum1045779
Variance6.0137917 × 109
MonotonicityNot monotonic
2023-12-12T17:14:46.897609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
82989 1
 
3.1%
13850 1
 
3.1%
6940 1
 
3.1%
66019 1
 
3.1%
6535 1
 
3.1%
31537 1
 
3.1%
1456 1
 
3.1%
108041 1
 
3.1%
331185 1
 
3.1%
14542 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
1456 1
3.1%
6535 1
3.1%
6940 1
3.1%
13051 1
3.1%
13850 1
3.1%
14542 1
3.1%
31537 1
3.1%
42945 1
3.1%
44234 1
3.1%
48021 1
3.1%
ValueCountFrequency (%)
331185 1
3.1%
111872 1
3.1%
108041 1
3.1%
82989 1
3.1%
70141 1
3.1%
66019 1
3.1%
52421 1
3.1%
48021 1
3.1%
44234 1
3.1%
42945 1
3.1%

2021년 2월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean72254.529
Minimum1626
Maximum393004
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:47.023246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1626
5-th percentile6458
Q115804
median50322
Q382707
95-th percentile189048
Maximum393004
Range391378
Interquartile range (IQR)66903

Descriptive statistics

Standard deviation92547.727
Coefficient of variation (CV)1.2808571
Kurtosis9.6361866
Mean72254.529
Median Absolute Deviation (MAD)34518
Skewness2.8644299
Sum1228327
Variance8.5650817 × 109
MonotonicityNot monotonic
2023-12-12T17:14:47.153316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
93756 1
 
3.1%
15804 1
 
3.1%
8268 1
 
3.1%
72704 1
 
3.1%
7666 1
 
3.1%
35566 1
 
3.1%
1626 1
 
3.1%
138059 1
 
3.1%
393004 1
 
3.1%
18913 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
1626 1
3.1%
7666 1
3.1%
8268 1
3.1%
15650 1
3.1%
15804 1
3.1%
18913 1
3.1%
35566 1
3.1%
49866 1
3.1%
50322 1
3.1%
53829 1
3.1%
ValueCountFrequency (%)
393004 1
3.1%
138059 1
3.1%
134276 1
3.1%
93756 1
3.1%
82707 1
3.1%
72704 1
3.1%
56311 1
3.1%
53829 1
3.1%
50322 1
3.1%
49866 1
3.1%

2021년 3월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean95447.941
Minimum2142
Maximum527154
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:47.286239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2142
5-th percentile8238.8
Q120386
median65723
Q3113141
95-th percentile243564.4
Maximum527154
Range525012
Interquartile range (IQR)92755

Descriptive statistics

Standard deviation123323.84
Coefficient of variation (CV)1.2920534
Kurtosis10.154702
Mean95447.941
Median Absolute Deviation (MAD)45889
Skewness2.9442449
Sum1622615
Variance1.5208769 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:47.404971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
122127 1
 
3.1%
19834 1
 
3.1%
10808 1
 
3.1%
95534 1
 
3.1%
9763 1
 
3.1%
49874 1
 
3.1%
2142 1
 
3.1%
172667 1
 
3.1%
527154 1
 
3.1%
24934 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2142 1
3.1%
9763 1
3.1%
10808 1
3.1%
19834 1
3.1%
20386 1
3.1%
24934 1
3.1%
49874 1
3.1%
63809 1
3.1%
65723 1
3.1%
75128 1
3.1%
ValueCountFrequency (%)
527154 1
3.1%
172667 1
3.1%
171431 1
3.1%
122127 1
3.1%
113141 1
3.1%
95534 1
3.1%
78160 1
3.1%
75128 1
3.1%
65723 1
3.1%
63809 1
3.1%

2021년 4월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean97720.059
Minimum2337
Maximum543125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:47.524504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2337
5-th percentile8483.4
Q120985
median69532
Q3113195
95-th percentile249833
Maximum543125
Range540788
Interquartile range (IQR)92210

Descriptive statistics

Standard deviation126658.2
Coefficient of variation (CV)1.296133
Kurtosis10.398945
Mean97720.059
Median Absolute Deviation (MAD)48547
Skewness2.9855163
Sum1661241
Variance1.6042299 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:47.660893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
125644 1
 
3.1%
20961 1
 
3.1%
11475 1
 
3.1%
99057 1
 
3.1%
10020 1
 
3.1%
49611 1
 
3.1%
2337 1
 
3.1%
169860 1
 
3.1%
543125 1
 
3.1%
28402 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2337 1
3.1%
10020 1
3.1%
11475 1
3.1%
20961 1
3.1%
20985 1
3.1%
28402 1
3.1%
49611 1
3.1%
62959 1
3.1%
69532 1
3.1%
76438 1
3.1%
ValueCountFrequency (%)
543125 1
3.1%
176510 1
3.1%
169860 1
3.1%
125644 1
3.1%
113195 1
3.1%
99057 1
3.1%
81130 1
3.1%
76438 1
3.1%
69532 1
3.1%
62959 1
3.1%

2021년 5월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean105908.82
Minimum2705
Maximum575511
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:47.779452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2705
5-th percentile9629
Q123197
median73744
Q3121709
95-th percentile274363.8
Maximum575511
Range572806
Interquartile range (IQR)98512

Descriptive statistics

Standard deviation135361.36
Coefficient of variation (CV)1.2780933
Kurtosis9.6870102
Mean105908.82
Median Absolute Deviation (MAD)50547
Skewness2.8707925
Sum1800450
Variance1.8322698 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:47.930898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
137190 1
 
3.1%
23197 1
 
3.1%
11886 1
 
3.1%
107834 1
 
3.1%
11360 1
 
3.1%
54729 1
 
3.1%
2705 1
 
3.1%
199077 1
 
3.1%
575511 1
 
3.1%
30248 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2705 1
3.1%
11360 1
3.1%
11886 1
3.1%
20811 1
3.1%
23197 1
3.1%
30248 1
3.1%
54729 1
3.1%
67423 1
3.1%
73744 1
3.1%
81271 1
3.1%
ValueCountFrequency (%)
575511 1
3.1%
199077 1
3.1%
196997 1
3.1%
137190 1
3.1%
121709 1
3.1%
107834 1
3.1%
84758 1
3.1%
81271 1
3.1%
73744 1
3.1%
67423 1
3.1%

2021년 6월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean102585.53
Minimum2567
Maximum566518
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:48.031583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2567
5-th percentile9003.8
Q121754
median70748
Q3117375
95-th percentile270216.4
Maximum566518
Range563951
Interquartile range (IQR)95621

Descriptive statistics

Standard deviation132840.63
Coefficient of variation (CV)1.2949256
Kurtosis10.032177
Mean102585.53
Median Absolute Deviation (MAD)48994
Skewness2.9286684
Sum1743954
Variance1.7646632 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:48.135910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
130916 1
 
3.1%
21754 1
 
3.1%
11757 1
 
3.1%
103188 1
 
3.1%
10613 1
 
3.1%
52298 1
 
3.1%
2567 1
 
3.1%
196141 1
 
3.1%
566518 1
 
3.1%
28072 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2567 1
3.1%
10613 1
3.1%
11757 1
3.1%
20285 1
3.1%
21754 1
3.1%
28072 1
3.1%
52298 1
3.1%
66216 1
3.1%
70748 1
3.1%
81911 1
3.1%
ValueCountFrequency (%)
566518 1
3.1%
196141 1
3.1%
180620 1
3.1%
130916 1
3.1%
117375 1
3.1%
103188 1
3.1%
82975 1
3.1%
81911 1
3.1%
70748 1
3.1%
66216 1
3.1%

2021년 7월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean94310.588
Minimum2285
Maximum518227
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:48.241068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2285
5-th percentile8383.4
Q119929
median68011
Q3108910
95-th percentile244220.6
Maximum518227
Range515942
Interquartile range (IQR)88981

Descriptive statistics

Standard deviation121356.04
Coefficient of variation (CV)1.28677
Kurtosis10.043611
Mean94310.588
Median Absolute Deviation (MAD)48082
Skewness2.9280648
Sum1603280
Variance1.4727287 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:48.362113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
121664 1
 
3.1%
19785 1
 
3.1%
10742 1
 
3.1%
89632 1
 
3.1%
9908 1
 
3.1%
46600 1
 
3.1%
2285 1
 
3.1%
175719 1
 
3.1%
518227 1
 
3.1%
26548 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2285 1
3.1%
9908 1
3.1%
10742 1
3.1%
19785 1
3.1%
19929 1
3.1%
26548 1
3.1%
46600 1
3.1%
62365 1
3.1%
68011 1
3.1%
76390 1
3.1%
ValueCountFrequency (%)
518227 1
3.1%
175719 1
3.1%
168437 1
3.1%
121664 1
3.1%
108910 1
3.1%
89632 1
3.1%
78128 1
3.1%
76390 1
3.1%
68011 1
3.1%
62365 1
3.1%

2021년 8월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean93166.294
Minimum2419
Maximum508508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:48.477113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2419
5-th percentile9063
Q121340
median66719
Q3104454
95-th percentile236101.6
Maximum508508
Range506089
Interquartile range (IQR)83114

Descriptive statistics

Standard deviation118773.36
Coefficient of variation (CV)1.2748534
Kurtosis10.100179
Mean93166.294
Median Absolute Deviation (MAD)45379
Skewness2.9358567
Sum1583827
Variance1.4107112 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:48.608099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
123029 1
 
3.1%
21340 1
 
3.1%
10775 1
 
3.1%
91653 1
 
3.1%
10724 1
 
3.1%
47477 1
 
3.1%
2419 1
 
3.1%
167889 1
 
3.1%
508508 1
 
3.1%
27621 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2419 1
3.1%
10724 1
3.1%
10775 1
3.1%
19734 1
3.1%
21340 1
3.1%
27621 1
3.1%
47477 1
3.1%
63567 1
3.1%
66719 1
3.1%
73187 1
3.1%
ValueCountFrequency (%)
508508 1
3.1%
168000 1
3.1%
167889 1
3.1%
123029 1
3.1%
104454 1
3.1%
91653 1
3.1%
76731 1
3.1%
73187 1
3.1%
66719 1
3.1%
63567 1
3.1%

2021년 9월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean90915.294
Minimum2296
Maximum494279
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:48.751112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2296
5-th percentile8655.2
Q119622
median66177
Q3103228
95-th percentile234106.2
Maximum494279
Range491983
Interquartile range (IQR)83606

Descriptive statistics

Standard deviation115785.04
Coefficient of variation (CV)1.2735486
Kurtosis9.9019844
Mean90915.294
Median Absolute Deviation (MAD)46555
Skewness2.9023141
Sum1545560
Variance1.3406176 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:48.894427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
120747 1
 
3.1%
19622 1
 
3.1%
10288 1
 
3.1%
90508 1
 
3.1%
10245 1
 
3.1%
46250 1
 
3.1%
2296 1
 
3.1%
162391 1
 
3.1%
494279 1
 
3.1%
25727 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2296 1
3.1%
10245 1
3.1%
10288 1
3.1%
19120 1
3.1%
19622 1
3.1%
25727 1
3.1%
46250 1
3.1%
61659 1
3.1%
66177 1
3.1%
69704 1
3.1%
ValueCountFrequency (%)
494279 1
3.1%
169063 1
3.1%
162391 1
3.1%
120747 1
3.1%
103228 1
3.1%
90508 1
3.1%
74256 1
3.1%
69704 1
3.1%
66177 1
3.1%
61659 1
3.1%

2021년 10월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean111867.12
Minimum2792
Maximum600675
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:49.018145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2792
5-th percentile10364
Q124749
median81648
Q3127522
95-th percentile287628.6
Maximum600675
Range597883
Interquartile range (IQR)102773

Descriptive statistics

Standard deviation140877.98
Coefficient of variation (CV)1.2593332
Kurtosis9.6959061
Mean111867.12
Median Absolute Deviation (MAD)56899
Skewness2.8655567
Sum1901741
Variance1.9846605 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:49.157762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
148244 1
 
3.1%
24749 1
 
3.1%
12418 1
 
3.1%
112087 1
 
3.1%
12257 1
 
3.1%
56719 1
 
3.1%
2792 1
 
3.1%
209367 1
 
3.1%
600675 1
 
3.1%
35414 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2792 1
3.1%
12257 1
3.1%
12418 1
3.1%
21941 1
3.1%
24749 1
3.1%
35414 1
3.1%
56719 1
3.1%
74446 1
3.1%
81648 1
3.1%
86750 1
3.1%
ValueCountFrequency (%)
600675 1
3.1%
209367 1
3.1%
201218 1
3.1%
148244 1
3.1%
127522 1
3.1%
112087 1
3.1%
93494 1
3.1%
86750 1
3.1%
81648 1
3.1%
74446 1
3.1%

2021년 11월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean113851.35
Minimum3047
Maximum613449
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:49.301731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3047
5-th percentile10183.8
Q124430
median82648
Q3127828
95-th percentile295902.6
Maximum613449
Range610402
Interquartile range (IQR)103398

Descriptive statistics

Standard deviation143987.55
Coefficient of variation (CV)1.2646978
Kurtosis9.6961773
Mean113851.35
Median Absolute Deviation (MAD)58218
Skewness2.8656386
Sum1935473
Variance2.0732416 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:49.431066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
153004 1
 
3.1%
24430 1
 
3.1%
11968 1
 
3.1%
113237 1
 
3.1%
13064 1
 
3.1%
57669 1
 
3.1%
3047 1
 
3.1%
216516 1
 
3.1%
613449 1
 
3.1%
34697 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
3047 1
3.1%
11968 1
3.1%
13064 1
3.1%
20832 1
3.1%
24430 1
3.1%
34697 1
3.1%
57669 1
3.1%
75536 1
3.1%
82648 1
3.1%
89409 1
3.1%
ValueCountFrequency (%)
613449 1
3.1%
216516 1
3.1%
201251 1
3.1%
153004 1
3.1%
127828 1
3.1%
113237 1
3.1%
96888 1
3.1%
89409 1
3.1%
82648 1
3.1%
75536 1
3.1%

2021년 12월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean111198
Minimum2702
Maximum602896
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:49.538231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2702
5-th percentile9201.2
Q122573
median85590
Q3128414
95-th percentile286696.8
Maximum602896
Range600194
Interquartile range (IQR)105841

Descriptive statistics

Standard deviation141455.37
Coefficient of variation (CV)1.2721035
Kurtosis9.7879404
Mean111198
Median Absolute Deviation (MAD)63017
Skewness2.8764976
Sum1890366
Variance2.0009621 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:49.670143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
150383 1
 
3.1%
22573 1
 
3.1%
12267 1
 
3.1%
108288 1
 
3.1%
10826 1
 
3.1%
55975 1
 
3.1%
2702 1
 
3.1%
207647 1
 
3.1%
602896 1
 
3.1%
29919 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2702 1
3.1%
10826 1
3.1%
12267 1
3.1%
20899 1
3.1%
22573 1
3.1%
29919 1
3.1%
55975 1
3.1%
72177 1
3.1%
85590 1
3.1%
88894 1
3.1%
ValueCountFrequency (%)
602896 1
3.1%
207647 1
3.1%
195074 1
3.1%
150383 1
3.1%
128414 1
3.1%
108288 1
3.1%
95842 1
3.1%
88894 1
3.1%
85590 1
3.1%
72177 1
3.1%

2022년 1월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean102388.71
Minimum2621
Maximum557240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:49.806661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2621
5-th percentile8544.2
Q119956
median76105
Q3115228
95-th percentile270489.6
Maximum557240
Range554619
Interquartile range (IQR)95272

Descriptive statistics

Standard deviation131135.54
Coefficient of variation (CV)1.2807618
Kurtosis9.6784639
Mean102388.71
Median Absolute Deviation (MAD)56149
Skewness2.8667472
Sum1740608
Variance1.719653 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:50.270538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
138989 1
 
3.1%
19592 1
 
3.1%
10901 1
 
3.1%
98293 1
 
3.1%
10025 1
 
3.1%
49908 1
 
3.1%
2621 1
 
3.1%
198802 1
 
3.1%
557240 1
 
3.1%
30128 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2621 1
3.1%
10025 1
3.1%
10901 1
3.1%
19592 1
3.1%
19956 1
3.1%
30128 1
3.1%
49908 1
3.1%
67568 1
3.1%
76105 1
3.1%
79724 1
3.1%
ValueCountFrequency (%)
557240 1
3.1%
198802 1
3.1%
181214 1
3.1%
138989 1
3.1%
115228 1
3.1%
98293 1
3.1%
84314 1
3.1%
79724 1
3.1%
76105 1
3.1%
67568 1
3.1%

2022년 2월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean90014.059
Minimum2091
Maximum481207
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:50.394798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2091
5-th percentile7861.4
Q118842
median67022
Q3100370
95-th percentile240058.2
Maximum481207
Range479116
Interquartile range (IQR)81528

Descriptive statistics

Standard deviation113598.23
Coefficient of variation (CV)1.2620054
Kurtosis9.3210123
Mean90014.059
Median Absolute Deviation (MAD)48180
Skewness2.8110751
Sum1530239
Variance1.2904558 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:50.520270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
116949 1
 
3.1%
18842 1
 
3.1%
9807 1
 
3.1%
89003 1
 
3.1%
9304 1
 
3.1%
44214 1
 
3.1%
2091 1
 
3.1%
179771 1
 
3.1%
481207 1
 
3.1%
28534 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2091 1
3.1%
9304 1
3.1%
9807 1
3.1%
17869 1
3.1%
18842 1
3.1%
28534 1
3.1%
44214 1
3.1%
59664 1
3.1%
67022 1
3.1%
68011 1
3.1%
ValueCountFrequency (%)
481207 1
3.1%
179771 1
3.1%
164262 1
3.1%
116949 1
3.1%
100370 1
3.1%
89003 1
3.1%
73319 1
3.1%
68011 1
3.1%
67022 1
3.1%
59664 1
3.1%

2022년 3월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing14
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean92085.611
Minimum206
Maximum530089
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:50.649908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206
5-th percentile2127.85
Q119168.75
median69048.5
Q3108857.5
95-th percentile227959.05
Maximum530089
Range529883
Interquartile range (IQR)89688.75

Descriptive statistics

Standard deviation122387.19
Coefficient of variation (CV)1.3290588
Kurtosis10.284807
Mean92085.611
Median Absolute Deviation (MAD)49856
Skewness2.940021
Sum1657541
Variance1.4978625 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:50.786253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
62811 1
 
3.1%
19240 1
 
3.1%
11053 1
 
3.1%
94021 1
 
3.1%
9696 1
 
3.1%
50404 1
 
3.1%
2467 1
 
3.1%
172147 1
 
3.1%
530089 1
 
3.1%
130074 1
 
3.1%
Other values (8) 8
25.0%
(Missing) 14
43.8%
ValueCountFrequency (%)
206 1
3.1%
2467 1
3.1%
9696 1
3.1%
11053 1
3.1%
19145 1
3.1%
19240 1
3.1%
28203 1
3.1%
50404 1
3.1%
62811 1
3.1%
75286 1
3.1%
ValueCountFrequency (%)
530089 1
3.1%
174642 1
3.1%
172147 1
3.1%
130074 1
3.1%
113803 1
3.1%
94021 1
3.1%
86330 1
3.1%
77924 1
3.1%
75286 1
3.1%
62811 1
3.1%

2022년 4월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing14
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean108619.44
Minimum2986
Maximum616890
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:50.918448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2986
5-th percentile8027.35
Q121850.75
median80873
Q3125959.5
95-th percentile274263.5
Maximum616890
Range613904
Interquartile range (IQR)104108.75

Descriptive statistics

Standard deviation142240.57
Coefficient of variation (CV)1.3095314
Kurtosis10.203218
Mean108619.44
Median Absolute Deviation (MAD)58454.5
Skewness2.9336458
Sum1955150
Variance2.023238 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:51.053733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
73376 1
 
3.1%
23554 1
 
3.1%
13029 1
 
3.1%
112701 1
 
3.1%
11419 1
 
3.1%
58168 1
 
3.1%
2986 1
 
3.1%
213800 1
 
3.1%
616890 1
 
3.1%
154081 1
 
3.1%
Other values (8) 8
25.0%
(Missing) 14
43.8%
ValueCountFrequency (%)
2986 1
3.1%
8917 1
3.1%
11419 1
3.1%
13029 1
3.1%
21283 1
3.1%
23554 1
3.1%
41285 1
3.1%
58168 1
3.1%
73376 1
3.1%
88370 1
3.1%
ValueCountFrequency (%)
616890 1
3.1%
213800 1
3.1%
199136 1
3.1%
154081 1
3.1%
130379 1
3.1%
112701 1
3.1%
96337 1
3.1%
89439 1
3.1%
88370 1
3.1%
73376 1
3.1%

2022년 5월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing14
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean121983.39
Minimum3231
Maximum679983
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:51.206543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3231
5-th percentile9614.5
Q124321
median90872.5
Q3138927
95-th percentile324524.05
Maximum679983
Range676752
Interquartile range (IQR)114606

Descriptive statistics

Standard deviation158129.93
Coefficient of variation (CV)1.2963234
Kurtosis9.5644682
Mean121983.39
Median Absolute Deviation (MAD)65243.5
Skewness2.8364315
Sum2195701
Variance2.5005073 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:51.352548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
83879 1
 
3.1%
28245 1
 
3.1%
13858 1
 
3.1%
129525 1
 
3.1%
13176 1
 
3.1%
64928 1
 
3.1%
3231 1
 
3.1%
261796 1
 
3.1%
679983 1
 
3.1%
175961 1
 
3.1%
Other values (8) 8
25.0%
(Missing) 14
43.8%
ValueCountFrequency (%)
3231 1
3.1%
10741 1
3.1%
13176 1
3.1%
13858 1
3.1%
23013 1
3.1%
28245 1
3.1%
43774 1
3.1%
64928 1
3.1%
83879 1
3.1%
97866 1
3.1%
ValueCountFrequency (%)
679983 1
3.1%
261796 1
3.1%
221550 1
3.1%
175961 1
3.1%
142061 1
3.1%
129525 1
3.1%
104008 1
3.1%
98106 1
3.1%
97866 1
3.1%
83879 1
3.1%

2022년 6월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing14
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean116133.5
Minimum3123
Maximum651684
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:51.492630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3123
5-th percentile8778.9
Q123235.25
median86553.5
Q3133334.25
95-th percentile309956.8
Maximum651684
Range648561
Interquartile range (IQR)110099

Descriptive statistics

Standard deviation151370.04
Coefficient of variation (CV)1.3034141
Kurtosis9.6968524
Mean116133.5
Median Absolute Deviation (MAD)61932
Skewness2.858744
Sum2090403
Variance2.2912889 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:51.632152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
79199 1
 
3.1%
27394 1
 
3.1%
13401 1
 
3.1%
123114 1
 
3.1%
12542 1
 
3.1%
61251 1
 
3.1%
3123 1
 
3.1%
249652 1
 
3.1%
651684 1
 
3.1%
166991 1
 
3.1%
Other values (8) 8
25.0%
(Missing) 14
43.8%
ValueCountFrequency (%)
3123 1
3.1%
9777 1
3.1%
12542 1
3.1%
13401 1
3.1%
21849 1
3.1%
27394 1
3.1%
40633 1
3.1%
61251 1
3.1%
79199 1
3.1%
93908 1
3.1%
ValueCountFrequency (%)
651684 1
3.1%
249652 1
3.1%
207226 1
3.1%
166991 1
3.1%
136741 1
3.1%
123114 1
3.1%
97139 1
3.1%
94779 1
3.1%
93908 1
3.1%
79199 1
3.1%

2022년 7월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing14
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean119692.5
Minimum3148
Maximum675422
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:51.774129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3148
5-th percentile9655.6
Q124009
median88659.5
Q3134553.25
95-th percentile324825.05
Maximum675422
Range672274
Interquartile range (IQR)110544.25

Descriptive statistics

Standard deviation157118.42
Coefficient of variation (CV)1.3126839
Kurtosis9.6859116
Mean119692.5
Median Absolute Deviation (MAD)63702.5
Skewness2.8626212
Sum2154465
Variance2.4686198 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:51.896771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
81245 1
 
3.1%
26853 1
 
3.1%
13865 1
 
3.1%
124504 1
 
3.1%
12602 1
 
3.1%
61395 1
 
3.1%
3148 1
 
3.1%
262955 1
 
3.1%
675422 1
 
3.1%
171091 1
 
3.1%
Other values (8) 8
25.0%
(Missing) 14
43.8%
ValueCountFrequency (%)
3148 1
3.1%
10804 1
3.1%
12602 1
3.1%
13865 1
3.1%
23061 1
3.1%
26853 1
3.1%
41174 1
3.1%
61395 1
3.1%
81245 1
3.1%
96074 1
3.1%
ValueCountFrequency (%)
675422 1
3.1%
262955 1
3.1%
213607 1
3.1%
171091 1
3.1%
137903 1
3.1%
124504 1
3.1%
99904 1
3.1%
98858 1
3.1%
96074 1
3.1%
81245 1
3.1%

2022년 8월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing14
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean117843.56
Minimum2955
Maximum662469
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:52.057918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2955
5-th percentile9472.8
Q123635.25
median87444
Q3129058.5
95-th percentile331248.65
Maximum662469
Range659514
Interquartile range (IQR)105423.25

Descriptive statistics

Standard deviation154684.94
Coefficient of variation (CV)1.3126296
Kurtosis9.4722724
Mean117843.56
Median Absolute Deviation (MAD)62354.5
Skewness2.8385418
Sum2121184
Variance2.3927432 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:52.196621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
81386 1
 
3.1%
27998 1
 
3.1%
13247 1
 
3.1%
122988 1
 
3.1%
12688 1
 
3.1%
60382 1
 
3.1%
2955 1
 
3.1%
272798 1
 
3.1%
662469 1
 
3.1%
164210 1
 
3.1%
Other values (8) 8
25.0%
(Missing) 14
43.8%
ValueCountFrequency (%)
2955 1
3.1%
10623 1
3.1%
12688 1
3.1%
13247 1
3.1%
22181 1
3.1%
27998 1
3.1%
43498 1
3.1%
60382 1
3.1%
81386 1
3.1%
93502 1
3.1%
ValueCountFrequency (%)
662469 1
3.1%
272798 1
3.1%
207998 1
3.1%
164210 1
3.1%
131082 1
3.1%
122988 1
3.1%
96155 1
3.1%
95024 1
3.1%
93502 1
3.1%
81386 1
3.1%

2022년 9월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing14
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean113729.22
Minimum3223
Maximum642217
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:52.319551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3223
5-th percentile9178.1
Q122935.5
median85522.5
Q3130350.5
95-th percentile290971.5
Maximum642217
Range638994
Interquartile range (IQR)107415

Descriptive statistics

Standard deviation148477.28
Coefficient of variation (CV)1.3055332
Kurtosis9.9990874
Mean113729.22
Median Absolute Deviation (MAD)61772.5
Skewness2.9021701
Sum2047126
Variance2.2045502 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:52.424844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
80592 1
 
3.1%
25379 1
 
3.1%
13214 1
 
3.1%
121499 1
 
3.1%
12978 1
 
3.1%
61892 1
 
3.1%
3223 1
 
3.1%
228987 1
 
3.1%
642217 1
 
3.1%
161817 1
 
3.1%
Other values (8) 8
25.0%
(Missing) 14
43.8%
ValueCountFrequency (%)
3223 1
3.1%
10229 1
3.1%
12978 1
3.1%
13214 1
3.1%
22121 1
3.1%
25379 1
3.1%
37362 1
3.1%
61892 1
3.1%
80592 1
3.1%
90453 1
3.1%
ValueCountFrequency (%)
642217 1
3.1%
228987 1
3.1%
209988 1
3.1%
161817 1
3.1%
133301 1
3.1%
121499 1
3.1%
96343 1
3.1%
95531 1
3.1%
90453 1
3.1%
80592 1
3.1%

2022년 10월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing14
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean124959.67
Minimum3839
Maximum699030
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:52.522576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3839
5-th percentile9550.15
Q124595.5
median93307
Q3140859
95-th percentile334187.05
Maximum699030
Range695191
Interquartile range (IQR)116263.5

Descriptive statistics

Standard deviation162326.32
Coefficient of variation (CV)1.2990297
Kurtosis9.6785179
Mean124959.67
Median Absolute Deviation (MAD)67078
Skewness2.8576281
Sum2249274
Variance2.6349833 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:52.635206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
88354 1
 
3.1%
29496 1
 
3.1%
13811 1
 
3.1%
133245 1
 
3.1%
13959 1
 
3.1%
65176 1
 
3.1%
3839 1
 
3.1%
269803 1
 
3.1%
699030 1
 
3.1%
174975 1
 
3.1%
Other values (8) 8
25.0%
(Missing) 14
43.8%
ValueCountFrequency (%)
3839 1
3.1%
10558 1
3.1%
13811 1
3.1%
13959 1
3.1%
22962 1
3.1%
29496 1
3.1%
48669 1
3.1%
65176 1
3.1%
88354 1
3.1%
98260 1
3.1%
ValueCountFrequency (%)
699030 1
3.1%
269803 1
3.1%
226017 1
3.1%
174975 1
3.1%
143397 1
3.1%
133245 1
3.1%
104450 1
3.1%
103273 1
3.1%
98260 1
3.1%
88354 1
3.1%

2022년 11월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing14
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean120126.11
Minimum3469
Maximum676957
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:52.737780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3469
5-th percentile8976.15
Q123433.25
median90980.5
Q3137650.5
95-th percentile315836.2
Maximum676957
Range673488
Interquartile range (IQR)114217.25

Descriptive statistics

Standard deviation156764.93
Coefficient of variation (CV)1.305003
Kurtosis9.8972913
Mean120126.11
Median Absolute Deviation (MAD)66826
Skewness2.888206
Sum2162270
Variance2.4575244 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:52.855882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
82580 1
 
3.1%
25597 1
 
3.1%
13325 1
 
3.1%
127995 1
 
3.1%
14434 1
 
3.1%
63287 1
 
3.1%
3469 1
 
3.1%
252109 1
 
3.1%
676957 1
 
3.1%
166123 1
 
3.1%
Other values (8) 8
25.0%
(Missing) 14
43.8%
ValueCountFrequency (%)
3469 1
3.1%
9948 1
3.1%
13325 1
3.1%
14434 1
3.1%
22712 1
3.1%
25597 1
3.1%
43023 1
3.1%
63287 1
3.1%
82580 1
3.1%
99381 1
3.1%
ValueCountFrequency (%)
676957 1
3.1%
252109 1
3.1%
216386 1
3.1%
166123 1
3.1%
140869 1
3.1%
127995 1
3.1%
103530 1
3.1%
100545 1
3.1%
99381 1
3.1%
82580 1
3.1%

2022년 12월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing14
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean122110.61
Minimum3342
Maximum688165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:52.965188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3342
5-th percentile9981.35
Q124168.75
median92609
Q3142346.75
95-th percentile321347.5
Maximum688165
Range684823
Interquartile range (IQR)118178

Descriptive statistics

Standard deviation159547.9
Coefficient of variation (CV)1.3065851
Kurtosis9.8357076
Mean122110.61
Median Absolute Deviation (MAD)68019.5
Skewness2.8746772
Sum2197991
Variance2.5455532 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:53.079301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
83000 1
 
3.1%
25431 1
 
3.1%
13429 1
 
3.1%
131369 1
 
3.1%
12463 1
 
3.1%
63922 1
 
3.1%
3342 1
 
3.1%
256615 1
 
3.1%
688165 1
 
3.1%
172274 1
 
3.1%
Other values (8) 8
25.0%
(Missing) 14
43.8%
ValueCountFrequency (%)
3342 1
3.1%
11153 1
3.1%
12463 1
3.1%
13429 1
3.1%
23748 1
3.1%
25431 1
3.1%
38372 1
3.1%
63922 1
3.1%
83000 1
3.1%
102218 1
3.1%
ValueCountFrequency (%)
688165 1
3.1%
256615 1
3.1%
216359 1
3.1%
172274 1
3.1%
146006 1
3.1%
131369 1
3.1%
105563 1
3.1%
104562 1
3.1%
102218 1
3.1%
83000 1
3.1%

2023년 1월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing14
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean117133.44
Minimum3178
Maximum658268
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:53.176839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3178
5-th percentile10522.85
Q124130.5
median87553.5
Q3132018
95-th percentile316035.9
Maximum658268
Range655090
Interquartile range (IQR)107887.5

Descriptive statistics

Standard deviation153147.45
Coefficient of variation (CV)1.3074613
Kurtosis9.6335552
Mean117133.44
Median Absolute Deviation (MAD)62699.5
Skewness2.8534632
Sum2108402
Variance2.3454141 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:53.281713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
83501 1
 
3.1%
26301 1
 
3.1%
13058 1
 
3.1%
126261 1
 
3.1%
12780 1
 
3.1%
59978 1
 
3.1%
3178 1
 
3.1%
255642 1
 
3.1%
658268 1
 
3.1%
164732 1
 
3.1%
Other values (8) 8
25.0%
(Missing) 14
43.8%
ValueCountFrequency (%)
3178 1
3.1%
11819 1
3.1%
12780 1
3.1%
13058 1
3.1%
23407 1
3.1%
26301 1
3.1%
38772 1
3.1%
59978 1
3.1%
83501 1
3.1%
91606 1
3.1%
ValueCountFrequency (%)
658268 1
3.1%
255642 1
3.1%
212874 1
3.1%
164732 1
3.1%
133937 1
3.1%
126261 1
3.1%
98009 1
3.1%
94279 1
3.1%
91606 1
3.1%
83501 1
3.1%

2023년 2월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing14
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean112658.56
Minimum2930
Maximum632417
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:53.379550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2930
5-th percentile8881.7
Q122147.25
median84721.5
Q3129828
95-th percentile307765.45
Maximum632417
Range629487
Interquartile range (IQR)107680.75

Descriptive statistics

Standard deviation147319.04
Coefficient of variation (CV)1.3076596
Kurtosis9.5630559
Mean112658.56
Median Absolute Deviation (MAD)61995
Skewness2.8403568
Sum2027854
Variance2.17029 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:53.481656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
77094 1
 
3.1%
23885 1
 
3.1%
12137 1
 
3.1%
117486 1
 
3.1%
10990 1
 
3.1%
56418 1
 
3.1%
2930 1
 
3.1%
250474 1
 
3.1%
632417 1
 
3.1%
157853 1
 
3.1%
Other values (8) 8
25.0%
(Missing) 14
43.8%
ValueCountFrequency (%)
2930 1
3.1%
9932 1
3.1%
10990 1
3.1%
12137 1
3.1%
21568 1
3.1%
23885 1
3.1%
40863 1
3.1%
56418 1
3.1%
77094 1
3.1%
92349 1
3.1%
ValueCountFrequency (%)
632417 1
3.1%
250474 1
3.1%
198752 1
3.1%
157853 1
3.1%
133942 1
3.1%
117486 1
3.1%
95111 1
3.1%
93653 1
3.1%
92349 1
3.1%
77094 1
3.1%

2023년 3월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing14
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean120352.78
Minimum3209
Maximum682493
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:53.581922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3209
5-th percentile9408.05
Q123325
median93038
Q3140366.5
95-th percentile308311.95
Maximum682493
Range679284
Interquartile range (IQR)117041.5

Descriptive statistics

Standard deviation157667.47
Coefficient of variation (CV)1.3100443
Kurtosis10.08759
Mean120352.78
Median Absolute Deviation (MAD)69335
Skewness2.9124192
Sum2166350
Variance2.485903 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:53.684129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
83562 1
 
3.1%
24459 1
 
3.1%
13480 1
 
3.1%
123931 1
 
3.1%
12014 1
 
3.1%
62893 1
 
3.1%
3209 1
 
3.1%
242280 1
 
3.1%
682493 1
 
3.1%
168318 1
 
3.1%
Other values (8) 8
25.0%
(Missing) 14
43.8%
ValueCountFrequency (%)
3209 1
3.1%
10502 1
3.1%
12014 1
3.1%
13480 1
3.1%
22947 1
3.1%
24459 1
3.1%
40827 1
3.1%
62893 1
3.1%
83562 1
3.1%
102514 1
3.1%
ValueCountFrequency (%)
682493 1
3.1%
242280 1
3.1%
217097 1
3.1%
168318 1
3.1%
145845 1
3.1%
123931 1
3.1%
107292 1
3.1%
102687 1
3.1%
102514 1
3.1%
83562 1
3.1%

2023년 4월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing14
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean120964.72
Minimum3501
Maximum683332
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:53.786171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3501
5-th percentile9245.3
Q123246.25
median90617.5
Q3140580
95-th percentile316732.95
Maximum683332
Range679831
Interquartile range (IQR)117333.75

Descriptive statistics

Standard deviation158071.13
Coefficient of variation (CV)1.306754
Kurtosis9.9792454
Mean120964.72
Median Absolute Deviation (MAD)66530
Skewness2.9009105
Sum2177365
Variance2.4986483 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:53.886427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
81373 1
 
3.1%
25770 1
 
3.1%
13581 1
 
3.1%
126000 1
 
3.1%
12550 1
 
3.1%
63848 1
 
3.1%
3501 1
 
3.1%
252039 1
 
3.1%
683332 1
 
3.1%
167622 1
 
3.1%
Other values (8) 8
25.0%
(Missing) 14
43.8%
ValueCountFrequency (%)
3501 1
3.1%
10259 1
3.1%
12550 1
3.1%
13581 1
3.1%
22405 1
3.1%
25770 1
3.1%
48387 1
3.1%
63848 1
3.1%
81373 1
3.1%
99862 1
3.1%
ValueCountFrequency (%)
683332 1
3.1%
252039 1
3.1%
216755 1
3.1%
167622 1
3.1%
145440 1
3.1%
126000 1
3.1%
103599 1
3.1%
101042 1
3.1%
99862 1
3.1%
81373 1
3.1%

2023년 5월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing14
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean125460.17
Minimum3858
Maximum701296
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:54.009268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3858
5-th percentile10168.4
Q124664
median94185
Q3143713.25
95-th percentile335777.3
Maximum701296
Range697438
Interquartile range (IQR)119049.25

Descriptive statistics

Standard deviation162971.08
Coefficient of variation (CV)1.2989866
Kurtosis9.6325714
Mean125460.17
Median Absolute Deviation (MAD)68376
Skewness2.8475525
Sum2258283
Variance2.6559571 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:54.123930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
86364 1
 
3.1%
28099 1
 
3.1%
13357 1
 
3.1%
133190 1
 
3.1%
13109 1
 
3.1%
67779 1
 
3.1%
3858 1
 
3.1%
271274 1
 
3.1%
701296 1
 
3.1%
178602 1
 
3.1%
Other values (8) 8
25.0%
(Missing) 14
43.8%
ValueCountFrequency (%)
3858 1
3.1%
11282 1
3.1%
13109 1
3.1%
13357 1
3.1%
23519 1
3.1%
28099 1
3.1%
45115 1
3.1%
67779 1
3.1%
86364 1
3.1%
102006 1
3.1%
ValueCountFrequency (%)
701296 1
3.1%
271274 1
3.1%
223736 1
3.1%
178602 1
3.1%
147221 1
3.1%
133190 1
3.1%
105233 1
3.1%
103243 1
3.1%
102006 1
3.1%
86364 1
3.1%

2023년 6월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing14
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean120783.33
Minimum3635
Maximum680890
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:54.229198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3635
5-th percentile9738
Q123659.75
median90809.5
Q3141905
95-th percentile320480.65
Maximum680890
Range677255
Interquartile range (IQR)118245.25

Descriptive statistics

Standard deviation157894.58
Coefficient of variation (CV)1.3072547
Kurtosis9.8303569
Mean120783.33
Median Absolute Deviation (MAD)66429
Skewness2.8776601
Sum2174100
Variance2.4930698 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:54.339478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
81918 1
 
3.1%
25822 1
 
3.1%
13175 1
 
3.1%
126683 1
 
3.1%
12101 1
 
3.1%
62894 1
 
3.1%
3635 1
 
3.1%
256879 1
 
3.1%
680890 1
 
3.1%
168172 1
 
3.1%
Other values (8) 8
25.0%
(Missing) 14
43.8%
ValueCountFrequency (%)
3635 1
3.1%
10815 1
3.1%
12101 1
3.1%
13175 1
3.1%
22939 1
3.1%
25822 1
3.1%
42965 1
3.1%
62894 1
3.1%
81918 1
3.1%
99701 1
3.1%
ValueCountFrequency (%)
680890 1
3.1%
256879 1
3.1%
214343 1
3.1%
168172 1
3.1%
146979 1
3.1%
126683 1
3.1%
102602 1
3.1%
101587 1
3.1%
99701 1
3.1%
81918 1
3.1%

2023년 7월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing14
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean123438.78
Minimum3306
Maximum687068
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:54.480147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3306
5-th percentile10551.4
Q124716.75
median93447
Q3144349.75
95-th percentile334434.45
Maximum687068
Range683762
Interquartile range (IQR)119633

Descriptive statistics

Standard deviation160310.37
Coefficient of variation (CV)1.2987035
Kurtosis9.3879715
Mean123438.78
Median Absolute Deviation (MAD)68639.5
Skewness2.8090991
Sum2221898
Variance2.5699414 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:54.605598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
85621 1
 
3.1%
24989 1
 
3.1%
12034 1
 
3.1%
127828 1
 
3.1%
12215 1
 
3.1%
63164 1
 
3.1%
3306 1
 
3.1%
272205 1
 
3.1%
687068 1
 
3.1%
172482 1
 
3.1%
Other values (8) 8
25.0%
(Missing) 14
43.8%
ValueCountFrequency (%)
3306 1
3.1%
11830 1
3.1%
12034 1
3.1%
12215 1
3.1%
24626 1
3.1%
24989 1
3.1%
43701 1
3.1%
63164 1
3.1%
85621 1
3.1%
101273 1
3.1%
ValueCountFrequency (%)
687068 1
3.1%
272205 1
3.1%
223826 1
3.1%
172482 1
3.1%
149857 1
3.1%
127828 1
3.1%
103607 1
3.1%
102266 1
3.1%
101273 1
3.1%
85621 1
3.1%

2023년 8월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing14
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean122863.28
Minimum3267
Maximum686947
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:54.730125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3267
5-th percentile10433.35
Q124543
median91618
Q3141364.75
95-th percentile341668.5
Maximum686947
Range683680
Interquartile range (IQR)116821.75

Descriptive statistics

Standard deviation160336.89
Coefficient of variation (CV)1.3050025
Kurtosis9.4300627
Mean122863.28
Median Absolute Deviation (MAD)65836
Skewness2.8259969
Sum2211539
Variance2.5707917 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:54.864559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
84071 1
 
3.1%
28260 1
 
3.1%
13057 1
 
3.1%
127084 1
 
3.1%
12397 1
 
3.1%
63779 1
 
3.1%
3267 1
 
3.1%
280737 1
 
3.1%
686947 1
 
3.1%
167914 1
 
3.1%
Other values (8) 8
25.0%
(Missing) 14
43.8%
ValueCountFrequency (%)
3267 1
3.1%
11698 1
3.1%
12397 1
3.1%
13057 1
3.1%
23304 1
3.1%
28260 1
3.1%
45483 1
3.1%
63779 1
3.1%
84071 1
3.1%
99165 1
3.1%
ValueCountFrequency (%)
686947 1
3.1%
280737 1
3.1%
217653 1
3.1%
167914 1
3.1%
146125 1
3.1%
127084 1
3.1%
100364 1
3.1%
100234 1
3.1%
99165 1
3.1%
84071 1
3.1%

2023년 9월
Real number (ℝ)

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68584.344
Minimum334
Maximum684804
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:14:54.998611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum334
5-th percentile851.25
Q13380
median11775.5
Q399425.25
95-th percentile218695.05
Maximum684804
Range684470
Interquartile range (IQR)96045.25

Descriptive statistics

Standard deviation130428.41
Coefficient of variation (CV)1.9017228
Kurtosis16.404868
Mean68584.344
Median Absolute Deviation (MAD)10907.5
Skewness3.6907481
Sum2194699
Variance1.701157 × 1010
MonotonicityNot monotonic
2023-12-12T17:14:55.145725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
684804 1
 
3.1%
25798 1
 
3.1%
3384 1
 
3.1%
2201 1
 
3.1%
4809 1
 
3.1%
403 1
 
3.1%
334 1
 
3.1%
1218 1
 
3.1%
6181 1
 
3.1%
9820 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
334 1
3.1%
403 1
3.1%
1218 1
3.1%
1480 1
3.1%
1777 1
3.1%
2189 1
3.1%
2201 1
3.1%
3368 1
3.1%
3384 1
3.1%
4247 1
3.1%
ValueCountFrequency (%)
684804 1
3.1%
229557 1
3.1%
209808 1
3.1%
173698 1
3.1%
143196 1
3.1%
127863 1
3.1%
106729 1
3.1%
101355 1
3.1%
98782 1
3.1%
79930 1
3.1%

Sample

승차역2019년 1월2019년 2월2019년 3월2019년 4월2019년 5월2019년 6월2019년 7월2019년 8월2019년 9월2019년 10월2019년 11월2019년 12월2020년 1월2020년 2월2020년 3월2020년 4월2020년 5월2020년 6월2020년 7월2020년 8월2020년 9월2020년 10월2020년 11월2020년 12월2021년 1월2021년 2월2021년 3월2021년 4월2021년 5월2021년 6월2021년 7월2021년 8월2021년 9월2021년 10월2021년 11월2021년 12월2022년 1월2022년 2월2022년 3월2022년 4월2022년 5월2022년 6월2022년 7월2022년 8월2022년 9월2022년 10월2022년 11월2022년 12월2023년 1월2023년 2월2023년 3월2023년 4월2023년 5월2023년 6월2023년 7월2023년 8월2023년 9월
0수서627146579027626627626476654936625416644584648931637593680627684894695510655365453472266782370144496445510535560347496939403908507604537641352151331185393004527154543125575511566518518227508508494279600675613449602896557240481207530089616890679983651684675422662469642217699030676957688165658268632417682493683332701296680890687068686947684804
1동탄134649125045137216137221144425137403141561143062140114149262150558152622150813100071634288271610945111298312445611255389919114965121058839388298993756122127125644137190130916121664123029120747148244153004150383138989116949130074154081175961166991171091164210161817174975166123172274164732157853168318167622178602168172172482167914173698
2평택지제5360651730572975703359610590506015862961594456464865795691026542847317326154133854299565066288456031481315931561799460864423449866657236953273744707486801166719661778164882648855907610567022752868837097866939089990496155955311032739938110556398009936531026871010421032439970110360799165106729
3천안아산82968732928763486203897978723087780879108705296037981009705588319637154017655122722097416979779697565926374026767715515752421563117816081130847588297578128767317425693494968889584284314733198633096337104008971399885895024963431044501035301045629427995111107292103599105233102602102266100364101355
4오송7512667038780447930882051799028199581211769818844589633892548074959682377995084069387725777821366745565347152675547508924802153829751287643881271819117639073187697048675089409888947972468011779248943998106947799607493502904539826010054510221891606923491025149986210200610158710127310023498782
5대전13300911975113861313570914130013622513645313643513530414862615221914825413342294347547247878910944310597311161410047386503109316114648759747014182707113141113195121709117375108910104454103228127522127828128414115228100370113803130379142061136741137903131082133301143397140869146006133937133942145845145440147221146979149857146125143196
6김천구미24859229162441624122245922365124779250342419524957254512506924112162258040138121955520213221911953616514205392004813741130511565020386209852081120285199291973419120219412083220899199561786919145212832301321849230612218122121229622271223748234072156822947224052351922939246262330423033
7서대구<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20689171074197771080410623102291055899481115311819993210502102591128210815118301169810698
8동대구2117862040952213522144302233572147282170932198822190862315132402362359922260871316944234392000151489159304182367164332129131176132176669118341111872134276171431176510196997180620168437168000169063201218201251195074181214164262174642199136221550207226213607207998209988226017216386216359212874198752217097216755223736214343223826217653209808
9신경주25806256112964432595321363027128956324583019738466348113052828968183567902135532186521577248512623117188254362699114755145421891324934284023024828072265482762125727354143469729919301282853428203412854377440633411744349837362486694302338372387724086340827483874511542965437014548336999
승차역2019년 1월2019년 2월2019년 3월2019년 4월2019년 5월2019년 6월2019년 7월2019년 8월2019년 9월2019년 10월2019년 11월2019년 12월2020년 1월2020년 2월2020년 3월2020년 4월2020년 5월2020년 6월2020년 7월2020년 8월2020년 9월2020년 10월2020년 11월2020년 12월2021년 1월2021년 2월2021년 3월2021년 4월2021년 5월2021년 6월2021년 7월2021년 8월2021년 9월2021년 10월2021년 11월2021년 12월2022년 1월2022년 2월2022년 3월2022년 4월2022년 5월2022년 6월2022년 7월2022년 8월2022년 9월2022년 10월2022년 11월2022년 12월2023년 1월2023년 2월2023년 3월2023년 4월2023년 5월2023년 6월2023년 7월2023년 8월2023년 9월
22마산<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3368
23진주<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4247
24포항<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>9820
25전주<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6181
26남원<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1218
27곡성<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>334
28구례구<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>403
29순천<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4809
30여천<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2201
31여수EXPO<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3384