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 하차인원을 제공하는 자료입니다.
Author(주)에스알
URLhttps://www.data.go.kr/data/15080917/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
하차역 has unique valuesUnique
2023년 9월 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:45:50.775268
Analysis finished2023-12-12 00:45:51.284660
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

하차역
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-12T09:45:51.428629image/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%
2023-12-12T09:45:51.895026image/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
Minimum2060
Maximum635413
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:45:52.078063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2060
5-th percentile8930.4
Q125575
median76985
Q3122992
95-th percentile326009
Maximum635413
Range633353
Interquartile range (IQR)97417

Descriptive statistics

Standard deviation151578.63
Coefficient of variation (CV)1.3445128
Kurtosis9.3911578
Mean112738.71
Median Absolute Deviation (MAD)51410
Skewness2.8530507
Sum1916558
Variance2.2976082 × 1010
MonotonicityNot monotonic
2023-12-12T09:45:52.221487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
122992 1
 
3.1%
22140 1
 
3.1%
12202 1
 
3.1%
110437 1
 
3.1%
10648 1
 
3.1%
53370 1
 
3.1%
2060 1
 
3.1%
248658 1
 
3.1%
635413 1
 
3.1%
25670 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2060 1
3.1%
10648 1
3.1%
12202 1
3.1%
22140 1
3.1%
25575 1
3.1%
25670 1
3.1%
53370 1
3.1%
56499 1
3.1%
76985 1
3.1%
83674 1
3.1%
ValueCountFrequency (%)
635413 1
3.1%
248658 1
3.1%
210931 1
3.1%
134213 1
3.1%
122992 1
3.1%
110437 1
3.1%
85091 1
3.1%
83674 1
3.1%
76985 1
3.1%
56499 1
3.1%

2019년 2월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean105537.41
Minimum2182
Maximum571951
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:45:52.373275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2182
5-th percentile9106.8
Q123230
median68188
Q3118806
95-th percentile310033.4
Maximum571951
Range569769
Interquartile range (IQR)95576

Descriptive statistics

Standard deviation137905.37
Coefficient of variation (CV)1.3066966
Kurtosis8.4850041
Mean105537.41
Median Absolute Deviation (MAD)45758
Skewness2.7093425
Sum1794136
Variance1.9017892 × 1010
MonotonicityNot monotonic
2023-12-12T09:45:52.532612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
118806 1
 
3.1%
22430 1
 
3.1%
11288 1
 
3.1%
105345 1
 
3.1%
10838 1
 
3.1%
51864 1
 
3.1%
2182 1
 
3.1%
244554 1
 
3.1%
571951 1
 
3.1%
26042 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2182 1
3.1%
10838 1
3.1%
11288 1
3.1%
22430 1
3.1%
23230 1
3.1%
26042 1
3.1%
51864 1
3.1%
52610 1
3.1%
68188 1
3.1%
75595 1
3.1%
ValueCountFrequency (%)
571951 1
3.1%
244554 1
3.1%
204787 1
3.1%
122980 1
3.1%
118806 1
3.1%
105345 1
3.1%
81446 1
3.1%
75595 1
3.1%
68188 1
3.1%
52610 1
3.1%

2019년 3월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean114647.18
Minimum2131
Maximum635148
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:45:52.672928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2131
5-th percentile8818.2
Q124671
median78949
Q3126072
95-th percentile324181.6
Maximum635148
Range633017
Interquartile range (IQR)101401

Descriptive statistics

Standard deviation151356.59
Coefficient of variation (CV)1.3201947
Kurtosis9.2557636
Mean114647.18
Median Absolute Deviation (MAD)54278
Skewness2.8228161
Sum1949002
Variance2.2908819 × 1010
MonotonicityNot monotonic
2023-12-12T09:45:52.809386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
126072 1
 
3.1%
22082 1
 
3.1%
12154 1
 
3.1%
110353 1
 
3.1%
10490 1
 
3.1%
56629 1
 
3.1%
2131 1
 
3.1%
246440 1
 
3.1%
635148 1
 
3.1%
29616 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2131 1
3.1%
10490 1
3.1%
12154 1
3.1%
22082 1
3.1%
24671 1
3.1%
29616 1
3.1%
56629 1
3.1%
59393 1
3.1%
78949 1
3.1%
87177 1
3.1%
ValueCountFrequency (%)
635148 1
3.1%
246440 1
3.1%
216955 1
3.1%
140648 1
3.1%
126072 1
3.1%
110353 1
3.1%
90094 1
3.1%
87177 1
3.1%
78949 1
3.1%
59393 1
3.1%

2019년 4월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean113553
Minimum2472
Maximum634961
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:45:52.924583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2472
5-th percentile9201.6
Q124412
median80323
Q3123414
95-th percentile319596.2
Maximum634961
Range632489
Interquartile range (IQR)99002

Descriptive statistics

Standard deviation150504.03
Coefficient of variation (CV)1.3254078
Kurtosis9.6227633
Mean113553
Median Absolute Deviation (MAD)55911
Skewness2.8845626
Sum1930401
Variance2.2651464 × 1010
MonotonicityNot monotonic
2023-12-12T09:45:53.068613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
123414 1
 
3.1%
22725 1
 
3.1%
12799 1
 
3.1%
110756 1
 
3.1%
10884 1
 
3.1%
56081 1
 
3.1%
2472 1
 
3.1%
240755 1
 
3.1%
634961 1
 
3.1%
33869 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2472 1
3.1%
10884 1
3.1%
12799 1
3.1%
22725 1
3.1%
24412 1
3.1%
33869 1
3.1%
56081 1
3.1%
58909 1
3.1%
80323 1
3.1%
82601 1
3.1%
ValueCountFrequency (%)
634961 1
3.1%
240755 1
3.1%
209347 1
3.1%
137200 1
3.1%
123414 1
3.1%
110756 1
3.1%
88893 1
3.1%
82601 1
3.1%
80323 1
3.1%
58909 1
3.1%

2019년 5월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean119469.94
Minimum2695
Maximum665793
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:45:53.190389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2695
5-th percentile9854.2
Q125047
median82367
Q3131903
95-th percentile344337
Maximum665793
Range663098
Interquartile range (IQR)106856

Descriptive statistics

Standard deviation158495.74
Coefficient of variation (CV)1.3266579
Kurtosis9.3763176
Mean119469.94
Median Absolute Deviation (MAD)57320
Skewness2.849189
Sum2030989
Variance2.51209 × 1010
MonotonicityNot monotonic
2023-12-12T09:45:53.305667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
131903 1
 
3.1%
24255 1
 
3.1%
12460 1
 
3.1%
115906 1
 
3.1%
11644 1
 
3.1%
61190 1
 
3.1%
2695 1
 
3.1%
263973 1
 
3.1%
665793 1
 
3.1%
33275 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2695 1
3.1%
11644 1
3.1%
12460 1
3.1%
24255 1
3.1%
25047 1
3.1%
33275 1
3.1%
61190 1
3.1%
61635 1
3.1%
82367 1
3.1%
87190 1
3.1%
ValueCountFrequency (%)
665793 1
3.1%
263973 1
3.1%
218737 1
3.1%
141558 1
3.1%
131903 1
3.1%
115906 1
3.1%
91361 1
3.1%
87190 1
3.1%
82367 1
3.1%
61635 1
3.1%

2019년 6월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean114670.88
Minimum2563
Maximum633893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:45:53.427343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2563
5-th percentile9161.4
Q124016
median79227
Q3127672
95-th percentile329630.6
Maximum633893
Range631330
Interquartile range (IQR)103656

Descriptive statistics

Standard deviation151143.24
Coefficient of variation (CV)1.3180612
Kurtosis9.210244
Mean114670.88
Median Absolute Deviation (MAD)55211
Skewness2.8188538
Sum1949405
Variance2.284428 × 1010
MonotonicityNot monotonic
2023-12-12T09:45:53.556167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
127672 1
 
3.1%
22845 1
 
3.1%
12134 1
 
3.1%
112674 1
 
3.1%
10811 1
 
3.1%
57027 1
 
3.1%
2563 1
 
3.1%
253565 1
 
3.1%
633893 1
 
3.1%
30786 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2563 1
3.1%
10811 1
3.1%
12134 1
3.1%
22845 1
3.1%
24016 1
3.1%
30786 1
3.1%
57027 1
3.1%
60516 1
3.1%
79227 1
3.1%
84642 1
3.1%
ValueCountFrequency (%)
633893 1
3.1%
253565 1
3.1%
210849 1
3.1%
137868 1
3.1%
127672 1
3.1%
112674 1
3.1%
88317 1
3.1%
84642 1
3.1%
79227 1
3.1%
60516 1
3.1%

2019년 7월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean116623.82
Minimum2546
Maximum651270
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:45:53.664952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2546
5-th percentile9334.8
Q125066
median82982
Q3128411
95-th percentile335838
Maximum651270
Range648724
Interquartile range (IQR)103345

Descriptive statistics

Standard deviation155041.9
Coefficient of variation (CV)1.3294187
Kurtosis9.396422
Mean116623.82
Median Absolute Deviation (MAD)55486
Skewness2.8505735
Sum1982605
Variance2.4037989 × 1010
MonotonicityNot monotonic
2023-12-12T09:45:53.783583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
128411 1
 
3.1%
23553 1
 
3.1%
12539 1
 
3.1%
115666 1
 
3.1%
11032 1
 
3.1%
55851 1
 
3.1%
2546 1
 
3.1%
256980 1
 
3.1%
651270 1
 
3.1%
29284 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2546 1
3.1%
11032 1
3.1%
12539 1
3.1%
23553 1
3.1%
25066 1
3.1%
29284 1
3.1%
55851 1
3.1%
61988 1
3.1%
82982 1
3.1%
85720 1
3.1%
ValueCountFrequency (%)
651270 1
3.1%
256980 1
3.1%
212660 1
3.1%
138468 1
3.1%
128411 1
3.1%
115666 1
3.1%
88589 1
3.1%
85720 1
3.1%
82982 1
3.1%
61988 1
3.1%

2019년 8월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean119047.53
Minimum2709
Maximum661198
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:45:53.959860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2709
5-th percentile9668.2
Q126405
median81295
Q3133516
95-th percentile348554
Maximum661198
Range658489
Interquartile range (IQR)107111

Descriptive statistics

Standard deviation157842.06
Coefficient of variation (CV)1.3258743
Kurtosis9.2088826
Mean119047.53
Median Absolute Deviation (MAD)54890
Skewness2.8270766
Sum2023808
Variance2.4914115 × 1010
MonotonicityNot monotonic
2023-12-12T09:45:54.076383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
133516 1
 
3.1%
26405 1
 
3.1%
12577 1
 
3.1%
115877 1
 
3.1%
11408 1
 
3.1%
57918 1
 
3.1%
2709 1
 
3.1%
270393 1
 
3.1%
661198 1
 
3.1%
33249 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2709 1
3.1%
11408 1
3.1%
12577 1
3.1%
24755 1
3.1%
26405 1
3.1%
33249 1
3.1%
57918 1
3.1%
63179 1
3.1%
81295 1
3.1%
85726 1
3.1%
ValueCountFrequency (%)
661198 1
3.1%
270393 1
3.1%
216973 1
3.1%
138145 1
3.1%
133516 1
3.1%
115877 1
3.1%
88485 1
3.1%
85726 1
3.1%
81295 1
3.1%
63179 1
3.1%

2019년 9월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean115509.29
Minimum2761
Maximum641660
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:45:54.251372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2761
5-th percentile9826.6
Q125114
median78698
Q3130273
95-th percentile321389.6
Maximum641660
Range638899
Interquartile range (IQR)105159

Descriptive statistics

Standard deviation152044.15
Coefficient of variation (CV)1.3162937
Kurtosis9.5637307
Mean115509.29
Median Absolute Deviation (MAD)53584
Skewness2.8708186
Sum1963658
Variance2.3117424 × 1010
MonotonicityNot monotonic
2023-12-12T09:45:54.399002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
130273 1
 
3.1%
25114 1
 
3.1%
12808 1
 
3.1%
116935 1
 
3.1%
11593 1
 
3.1%
59378 1
 
3.1%
2761 1
 
3.1%
241322 1
 
3.1%
641660 1
 
3.1%
30476 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2761 1
3.1%
11593 1
3.1%
12808 1
3.1%
24613 1
3.1%
25114 1
3.1%
30476 1
3.1%
59378 1
3.1%
62078 1
3.1%
78698 1
3.1%
85540 1
3.1%
ValueCountFrequency (%)
641660 1
3.1%
241322 1
3.1%
214225 1
3.1%
138168 1
3.1%
130273 1
3.1%
116935 1
3.1%
88016 1
3.1%
85540 1
3.1%
78698 1
3.1%
62078 1
3.1%

2019년 10월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean124895.18
Minimum2999
Maximum688598
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:45:54.535209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2999
5-th percentile10427.8
Q127380
median88728
Q3137426
95-th percentile352346.8
Maximum688598
Range685599
Interquartile range (IQR)110046

Descriptive statistics

Standard deviation163216.58
Coefficient of variation (CV)1.3068285
Kurtosis9.4719068
Mean124895.18
Median Absolute Deviation (MAD)60872
Skewness2.8580513
Sum2123218
Variance2.6639651 × 1010
MonotonicityNot monotonic
2023-12-12T09:45:54.938037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
137426 1
 
3.1%
27380 1
 
3.1%
12690 1
 
3.1%
123116 1
 
3.1%
12285 1
 
3.1%
64259 1
 
3.1%
2999 1
 
3.1%
268284 1
 
3.1%
688598 1
 
3.1%
40497 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2999 1
3.1%
12285 1
3.1%
12690 1
3.1%
25502 1
3.1%
27380 1
3.1%
40497 1
3.1%
64259 1
3.1%
66757 1
3.1%
88728 1
3.1%
90701 1
3.1%
ValueCountFrequency (%)
688598 1
3.1%
268284 1
3.1%
226169 1
3.1%
149600 1
3.1%
137426 1
3.1%
123116 1
3.1%
98227 1
3.1%
90701 1
3.1%
88728 1
3.1%
66757 1
3.1%

2019년 11월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean126655.24
Minimum3015
Maximum693801
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:45:55.057600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3015
5-th percentile10831
Q125639
median89167
Q3138813
95-th percentile359273.8
Maximum693801
Range690786
Interquartile range (IQR)113174

Descriptive statistics

Standard deviation165189.09
Coefficient of variation (CV)1.3042421
Kurtosis9.1801868
Mean126655.24
Median Absolute Deviation (MAD)63528
Skewness2.8101595
Sum2153139
Variance2.7287437 × 1010
MonotonicityNot monotonic
2023-12-12T09:45:55.191119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
138813 1
 
3.1%
25591 1
 
3.1%
12785 1
 
3.1%
126833 1
 
3.1%
13807 1
 
3.1%
64061 1
 
3.1%
3015 1
 
3.1%
275642 1
 
3.1%
693801 1
 
3.1%
36619 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
3015 1
3.1%
12785 1
3.1%
13807 1
3.1%
25591 1
3.1%
25639 1
3.1%
36619 1
3.1%
64061 1
3.1%
66749 1
3.1%
89167 1
3.1%
92726 1
3.1%
ValueCountFrequency (%)
693801 1
3.1%
275642 1
3.1%
234167 1
3.1%
153924 1
3.1%
138813 1
3.1%
126833 1
3.1%
99800 1
3.1%
92726 1
3.1%
89167 1
3.1%
66749 1
3.1%

2019년 12월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean126562.29
Minimum2572
Maximum702925
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:45:55.309175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2572
5-th percentile9804.8
Q125767
median88842
Q3141479
95-th percentile364622.6
Maximum702925
Range700353
Interquartile range (IQR)115712

Descriptive statistics

Standard deviation167584.27
Coefficient of variation (CV)1.3241248
Kurtosis9.2667745
Mean126562.29
Median Absolute Deviation (MAD)59676
Skewness2.827483
Sum2151559
Variance2.8084489 × 1010
MonotonicityNot monotonic
2023-12-12T09:45:55.435454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
141479 1
 
3.1%
25767 1
 
3.1%
13529 1
 
3.1%
127480 1
 
3.1%
11613 1
 
3.1%
62058 1
 
3.1%
2572 1
 
3.1%
280047 1
 
3.1%
702925 1
 
3.1%
30863 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2572 1
3.1%
11613 1
3.1%
13529 1
3.1%
25072 1
3.1%
25767 1
3.1%
30863 1
3.1%
62058 1
3.1%
69904 1
3.1%
88842 1
3.1%
92363 1
3.1%
ValueCountFrequency (%)
702925 1
3.1%
280047 1
3.1%
231743 1
3.1%
148518 1
3.1%
141479 1
3.1%
127480 1
3.1%
96784 1
3.1%
92363 1
3.1%
88842 1
3.1%
69904 1
3.1%

2020년 1월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean120102.82
Minimum2723
Maximum671906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:45:55.555618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2723
5-th percentile10026.2
Q125889
median81369
Q3134353
95-th percentile342562.8
Maximum671906
Range669183
Interquartile range (IQR)108464

Descriptive statistics

Standard deviation159803.9
Coefficient of variation (CV)1.3305591
Kurtosis9.4590162
Mean120102.82
Median Absolute Deviation (MAD)55480
Skewness2.8604134
Sum2041748
Variance2.5537288 × 1010
MonotonicityNot monotonic
2023-12-12T09:45:55.684166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
140922 1
 
3.1%
25889 1
 
3.1%
13123 1
 
3.1%
120330 1
 
3.1%
11852 1
 
3.1%
58910 1
 
3.1%
2723 1
 
3.1%
260227 1
 
3.1%
671906 1
 
3.1%
29265 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2723 1
3.1%
11852 1
3.1%
13123 1
3.1%
24780 1
3.1%
25889 1
3.1%
29265 1
3.1%
58910 1
3.1%
66672 1
3.1%
81369 1
3.1%
87673 1
3.1%
ValueCountFrequency (%)
671906 1
3.1%
260227 1
3.1%
222856 1
3.1%
140922 1
3.1%
134353 1
3.1%
120330 1
3.1%
88898 1
3.1%
87673 1
3.1%
81369 1
3.1%
66672 1
3.1%

2020년 2월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean80009.588
Minimum1720
Maximum463622
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:45:55.840614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1720
5-th percentile6625.6
Q116659
median58020
Q391076
95-th percentile219583.6
Maximum463622
Range461902
Interquartile range (IQR)74417

Descriptive statistics

Standard deviation108319.33
Coefficient of variation (CV)1.3538294
Kurtosis10.790355
Mean80009.588
Median Absolute Deviation (MAD)39999
Skewness3.064436
Sum1360163
Variance1.1733078 × 1010
MonotonicityNot monotonic
2023-12-12T09:45:55.959466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
91076 1
 
3.1%
16659 1
 
3.1%
9536 1
 
3.1%
79170 1
 
3.1%
7852 1
 
3.1%
40670 1
 
3.1%
1720 1
 
3.1%
158574 1
 
3.1%
463622 1
 
3.1%
18021 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
1720 1
3.1%
7852 1
3.1%
9536 1
3.1%
16508 1
3.1%
16659 1
3.1%
18021 1
3.1%
40670 1
3.1%
48919 1
3.1%
58020 1
3.1%
60924 1
3.1%
ValueCountFrequency (%)
463622 1
3.1%
158574 1
3.1%
127454 1
3.1%
96055 1
3.1%
91076 1
3.1%
79170 1
3.1%
65383 1
3.1%
60924 1
3.1%
58020 1
3.1%
48919 1
3.1%

2020년 3월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean45750.647
Minimum1032
Maximum271878
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:45:56.076980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1032
5-th percentile5099.2
Q18880
median33938
Q352603
95-th percentile119421.2
Maximum271878
Range270846
Interquartile range (IQR)43723

Descriptive statistics

Standard deviation62408.808
Coefficient of variation (CV)1.3641077
Kurtosis12.133649
Mean45750.647
Median Absolute Deviation (MAD)22021
Skewness3.2776269
Sum777761
Variance3.8948593 × 109
MonotonicityNot monotonic
2023-12-12T09:45:56.222097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
52603 1
 
3.1%
11151 1
 
3.1%
7385 1
 
3.1%
55959 1
 
3.1%
6116 1
 
3.1%
29284 1
 
3.1%
1032 1
 
3.1%
81307 1
 
3.1%
271878 1
 
3.1%
8207 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
1032 1
3.1%
6116 1
3.1%
7385 1
3.1%
8207 1
3.1%
8880 1
3.1%
11151 1
3.1%
29284 1
3.1%
31290 1
3.1%
33938 1
3.1%
39503 1
3.1%
ValueCountFrequency (%)
271878 1
3.1%
81307 1
3.1%
55959 1
3.1%
54457 1
3.1%
52603 1
3.1%
43564 1
3.1%
41207 1
3.1%
39503 1
3.1%
33938 1
3.1%
31290 1
3.1%

2020년 4월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean64726.529
Minimum1454
Maximum366778
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:45:56.345679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1454
5-th percentile6465.2
Q114441
median48053
Q371065
95-th percentile172940.4
Maximum366778
Range365324
Interquartile range (IQR)56624

Descriptive statistics

Standard deviation85093.112
Coefficient of variation (CV)1.3146559
Kurtosis10.923919
Mean64726.529
Median Absolute Deviation (MAD)33485
Skewness3.0762749
Sum1100351
Variance7.2408377 × 109
MonotonicityNot monotonic
2023-12-12T09:45:56.462334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
71065 1
 
3.1%
14441 1
 
3.1%
8440 1
 
3.1%
70701 1
 
3.1%
7718 1
 
3.1%
36171 1
 
3.1%
1454 1
 
3.1%
124481 1
 
3.1%
366778 1
 
3.1%
14568 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
1454 1
3.1%
7718 1
3.1%
8440 1
3.1%
14337 1
3.1%
14441 1
3.1%
14568 1
3.1%
36171 1
3.1%
41300 1
3.1%
48053 1
3.1%
51892 1
3.1%
ValueCountFrequency (%)
366778 1
3.1%
124481 1
3.1%
94628 1
3.1%
78426 1
3.1%
71065 1
3.1%
70701 1
3.1%
55898 1
3.1%
51892 1
3.1%
48053 1
3.1%
41300 1
3.1%

2020년 5월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean90656.235
Minimum2133
Maximum516854
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:45:56.593354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2133
5-th percentile8453.8
Q119839
median67408
Q3101095
95-th percentile240877.2
Maximum516854
Range514721
Interquartile range (IQR)81256

Descriptive statistics

Standard deviation120383.32
Coefficient of variation (CV)1.3279099
Kurtosis10.77067
Mean90656.235
Median Absolute Deviation (MAD)45693
Skewness3.0548859
Sum1541156
Variance1.4492143 × 1010
MonotonicityNot monotonic
2023-12-12T09:45:56.734918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
101095 1
 
3.1%
19839 1
 
3.1%
11005 1
 
3.1%
93901 1
 
3.1%
10034 1
 
3.1%
47525 1
 
3.1%
2133 1
 
3.1%
171883 1
 
3.1%
516854 1
 
3.1%
21715 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2133 1
3.1%
10034 1
3.1%
11005 1
3.1%
19444 1
3.1%
19839 1
3.1%
21715 1
3.1%
47525 1
3.1%
56694 1
3.1%
67408 1
3.1%
69733 1
3.1%
ValueCountFrequency (%)
516854 1
3.1%
171883 1
3.1%
148533 1
3.1%
109692 1
3.1%
101095 1
3.1%
93901 1
3.1%
73668 1
3.1%
69733 1
3.1%
67408 1
3.1%
56694 1
3.1%

2020년 6월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean91510
Minimum2018
Maximum517385
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:45:56.872150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2018
5-th percentile8044.4
Q119976
median66318
Q3100721
95-th percentile244172.2
Maximum517385
Range515367
Interquartile range (IQR)80745

Descriptive statistics

Standard deviation120952.42
Coefficient of variation (CV)1.32174
Kurtosis10.470322
Mean91510
Median Absolute Deviation (MAD)44341
Skewness3.0075304
Sum1555670
Variance1.4629489 × 1010
MonotonicityNot monotonic
2023-12-12T09:45:56.995056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
100721 1
 
3.1%
19390 1
 
3.1%
10834 1
 
3.1%
91148 1
 
3.1%
9551 1
 
3.1%
47256 1
 
3.1%
2018 1
 
3.1%
175869 1
 
3.1%
517385 1
 
3.1%
21977 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2018 1
3.1%
9551 1
3.1%
10834 1
3.1%
19390 1
3.1%
19976 1
3.1%
21977 1
3.1%
47256 1
3.1%
57570 1
3.1%
66318 1
3.1%
73809 1
3.1%
ValueCountFrequency (%)
517385 1
3.1%
175869 1
3.1%
158870 1
3.1%
107571 1
3.1%
100721 1
3.1%
91148 1
3.1%
75407 1
3.1%
73809 1
3.1%
66318 1
3.1%
57570 1
3.1%

2020년 7월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean99493.235
Minimum2181
Maximum563094
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:45:57.124766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2181
5-th percentile8085
Q122797
median72400
Q3111160
95-th percentile277979.6
Maximum563094
Range560913
Interquartile range (IQR)88363

Descriptive statistics

Standard deviation132780.78
Coefficient of variation (CV)1.334571
Kurtosis10.025085
Mean99493.235
Median Absolute Deviation (MAD)46215
Skewness2.9504542
Sum1691385
Variance1.7630737 × 1010
MonotonicityNot monotonic
2023-12-12T09:45:57.249580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
111160 1
 
3.1%
19390 1
 
3.1%
11126 1
 
3.1%
81939 1
 
3.1%
9561 1
 
3.1%
49559 1
 
3.1%
2181 1
 
3.1%
206701 1
 
3.1%
563094 1
 
3.1%
26185 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2181 1
3.1%
9561 1
3.1%
11126 1
3.1%
19390 1
3.1%
22797 1
3.1%
26185 1
3.1%
49559 1
3.1%
62661 1
3.1%
72400 1
3.1%
79510 1
3.1%
ValueCountFrequency (%)
563094 1
3.1%
206701 1
3.1%
181388 1
3.1%
111240 1
3.1%
111160 1
3.1%
81939 1
3.1%
80493 1
3.1%
79510 1
3.1%
72400 1
3.1%
62661 1
3.1%

2020년 8월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean91016.882
Minimum2122
Maximum507766
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:45:57.351295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2122
5-th percentile7947.6
Q120748
median64242
Q3102624
95-th percentile252962.8
Maximum507766
Range505644
Interquartile range (IQR)81876

Descriptive statistics

Standard deviation119586.67
Coefficient of variation (CV)1.3138955
Kurtosis9.9276158
Mean91016.882
Median Absolute Deviation (MAD)39642
Skewness2.9318084
Sum1547287
Variance1.4300971 × 1010
MonotonicityNot monotonic
2023-12-12T09:45:57.458414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
103884 1
 
3.1%
20748 1
 
3.1%
10254 1
 
3.1%
84586 1
 
3.1%
9404 1
 
3.1%
45529 1
 
3.1%
2122 1
 
3.1%
189262 1
 
3.1%
507766 1
 
3.1%
26683 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2122 1
3.1%
9404 1
3.1%
10254 1
3.1%
19949 1
3.1%
20748 1
3.1%
26683 1
3.1%
45529 1
3.1%
57440 1
3.1%
64242 1
3.1%
68966 1
3.1%
ValueCountFrequency (%)
507766 1
3.1%
189262 1
3.1%
162675 1
3.1%
103884 1
3.1%
102624 1
3.1%
84586 1
3.1%
71153 1
3.1%
68966 1
3.1%
64242 1
3.1%
57440 1
3.1%

2020년 9월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean71325.588
Minimum1592
Maximum392803
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:45:57.570298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1592
5-th percentile6607.2
Q117181
median50018
Q379794
95-th percentile185471.8
Maximum392803
Range391211
Interquartile range (IQR)62613

Descriptive statistics

Standard deviation91933.273
Coefficient of variation (CV)1.2889242
Kurtosis10.101792
Mean71325.588
Median Absolute Deviation (MAD)32837
Skewness2.9416759
Sum1212535
Variance8.4517267 × 109
MonotonicityNot monotonic
2023-12-12T09:45:57.683189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
79794 1
 
3.1%
14886 1
 
3.1%
8234 1
 
3.1%
69074 1
 
3.1%
7861 1
 
3.1%
37052 1
 
3.1%
1592 1
 
3.1%
129670 1
 
3.1%
392803 1
 
3.1%
18272 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
1592 1
3.1%
7861 1
3.1%
8234 1
3.1%
14886 1
3.1%
17181 1
3.1%
18272 1
3.1%
37052 1
3.1%
47810 1
3.1%
50018 1
3.1%
58203 1
3.1%
ValueCountFrequency (%)
392803 1
3.1%
133639 1
3.1%
129670 1
3.1%
86493 1
3.1%
79794 1
3.1%
69074 1
3.1%
59953 1
3.1%
58203 1
3.1%
50018 1
3.1%
47810 1
3.1%

2020년 10월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean93266.471
Minimum2218
Maximum530983
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:45:57.810321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2218
5-th percentile7982
Q120114
median65099
Q3107006
95-th percentile241022.2
Maximum530983
Range528765
Interquartile range (IQR)86892

Descriptive statistics

Standard deviation123840.56
Coefficient of variation (CV)1.3278144
Kurtosis10.677249
Mean93266.471
Median Absolute Deviation (MAD)44985
Skewness3.041253
Sum1585530
Variance1.5336484 × 1010
MonotonicityNot monotonic
2023-12-12T09:45:57.919817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
107006 1
 
3.1%
19838 1
 
3.1%
10623 1
 
3.1%
91619 1
 
3.1%
9423 1
 
3.1%
48083 1
 
3.1%
2218 1
 
3.1%
168532 1
 
3.1%
530983 1
 
3.1%
26049 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2218 1
3.1%
9423 1
3.1%
10623 1
3.1%
19838 1
3.1%
20114 1
3.1%
26049 1
3.1%
48083 1
3.1%
60350 1
3.1%
65099 1
3.1%
72235 1
3.1%
ValueCountFrequency (%)
530983 1
3.1%
168532 1
3.1%
167716 1
3.1%
110385 1
3.1%
107006 1
3.1%
91619 1
3.1%
75257 1
3.1%
72235 1
3.1%
65099 1
3.1%
60350 1
3.1%

2020년 11월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean96984.941
Minimum2263
Maximum542071
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:45:58.028157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2263
5-th percentile9286.2
Q120395
median68407
Q3110995
95-th percentile252511.8
Maximum542071
Range539808
Interquartile range (IQR)90600

Descriptive statistics

Standard deviation126778.07
Coefficient of variation (CV)1.3071934
Kurtosis10.31059
Mean96984.941
Median Absolute Deviation (MAD)48012
Skewness2.979232
Sum1648744
Variance1.607268 × 1010
MonotonicityNot monotonic
2023-12-12T09:45:58.168564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
110995 1
 
3.1%
19508 1
 
3.1%
11042 1
 
3.1%
94404 1
 
3.1%
11303 1
 
3.1%
50417 1
 
3.1%
2263 1
 
3.1%
180122 1
 
3.1%
542071 1
 
3.1%
27394 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2263 1
3.1%
11042 1
3.1%
11303 1
3.1%
19508 1
3.1%
20395 1
3.1%
27394 1
3.1%
50417 1
3.1%
63447 1
3.1%
68407 1
3.1%
76544 1
3.1%
ValueCountFrequency (%)
542071 1
3.1%
180122 1
3.1%
175757 1
3.1%
117362 1
3.1%
110995 1
3.1%
94404 1
3.1%
77313 1
3.1%
76544 1
3.1%
68407 1
3.1%
63447 1
3.1%

2020년 12월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean64079.235
Minimum1602
Maximum353762
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:45:58.296250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1602
5-th percentile6001.2
Q114735
median47051
Q374633
95-th percentile165042
Maximum353762
Range352160
Interquartile range (IQR)59898

Descriptive statistics

Standard deviation82386.627
Coefficient of variation (CV)1.2856993
Kurtosis10.396498
Mean64079.235
Median Absolute Deviation (MAD)31654
Skewness2.9825977
Sum1089347
Variance6.7875563 × 109
MonotonicityNot monotonic
2023-12-12T09:45:58.427229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
74633 1
 
3.1%
14156 1
 
3.1%
7547 1
 
3.1%
65632 1
 
3.1%
7101 1
 
3.1%
33161 1
 
3.1%
1602 1
 
3.1%
109325 1
 
3.1%
353762 1
 
3.1%
15397 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
1602 1
3.1%
7101 1
3.1%
7547 1
3.1%
14156 1
3.1%
14735 1
3.1%
15397 1
3.1%
33161 1
3.1%
44912 1
3.1%
47051 1
3.1%
52794 1
3.1%
ValueCountFrequency (%)
353762 1
3.1%
117862 1
3.1%
109325 1
3.1%
75940 1
3.1%
74633 1
3.1%
65632 1
3.1%
53737 1
3.1%
52794 1
3.1%
47051 1
3.1%
44912 1
3.1%

2021년 1월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean61516.412
Minimum1425
Maximum338121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:45:58.549819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1425
5-th percentile5484.2
Q113611
median45749
Q372188
95-th percentile155701.8
Maximum338121
Range336696
Interquartile range (IQR)58577

Descriptive statistics

Standard deviation78861.926
Coefficient of variation (CV)1.2819656
Kurtosis10.262587
Mean61516.412
Median Absolute Deviation (MAD)31068
Skewness2.9565653
Sum1045779
Variance6.2192034 × 109
MonotonicityNot monotonic
2023-12-12T09:45:58.741854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
75599 1
 
3.1%
12738 1
 
3.1%
7235 1
 
3.1%
62583 1
 
3.1%
6499 1
 
3.1%
31415 1
 
3.1%
1425 1
 
3.1%
108147 1
 
3.1%
338121 1
 
3.1%
14681 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
1425 1
3.1%
6499 1
3.1%
7235 1
3.1%
12738 1
3.1%
13611 1
3.1%
14681 1
3.1%
31415 1
3.1%
43672 1
3.1%
45749 1
3.1%
49739 1
3.1%
ValueCountFrequency (%)
338121 1
3.1%
110097 1
3.1%
108147 1
3.1%
75599 1
3.1%
72188 1
3.1%
62583 1
3.1%
52280 1
3.1%
49739 1
3.1%
45749 1
3.1%
43672 1
3.1%

2021년 2월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean72254.529
Minimum1587
Maximum397223
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:45:58.962253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1587
5-th percentile6312.6
Q115961
median51314
Q382144
95-th percentile191687.8
Maximum397223
Range395636
Interquartile range (IQR)66183

Descriptive statistics

Standard deviation93433.539
Coefficient of variation (CV)1.2931167
Kurtosis9.8210362
Mean72254.529
Median Absolute Deviation (MAD)34948
Skewness2.9007543
Sum1228327
Variance8.7298262 × 109
MonotonicityNot monotonic
2023-12-12T09:45:59.111699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
86262 1
 
3.1%
15288 1
 
3.1%
8275 1
 
3.1%
71025 1
 
3.1%
7494 1
 
3.1%
36101 1
 
3.1%
1587 1
 
3.1%
140304 1
 
3.1%
397223 1
 
3.1%
19344 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
1587 1
3.1%
7494 1
3.1%
8275 1
3.1%
15288 1
3.1%
15961 1
3.1%
19344 1
3.1%
36101 1
3.1%
49649 1
3.1%
51314 1
3.1%
55368 1
3.1%
ValueCountFrequency (%)
397223 1
3.1%
140304 1
3.1%
134415 1
3.1%
86262 1
3.1%
82144 1
3.1%
71025 1
3.1%
56573 1
3.1%
55368 1
3.1%
51314 1
3.1%
49649 1
3.1%

2021년 3월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean95447.941
Minimum2140
Maximum535353
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:45:59.259220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2140
5-th percentile8019.2
Q120943
median66183
Q3111072
95-th percentile244802.6
Maximum535353
Range533213
Interquartile range (IQR)90129

Descriptive statistics

Standard deviation124956.32
Coefficient of variation (CV)1.3091568
Kurtosis10.460514
Mean95447.941
Median Absolute Deviation (MAD)45240
Skewness2.9997708
Sum1622615
Variance1.5614082 × 1010
MonotonicityNot monotonic
2023-12-12T09:45:59.425616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
111072 1
 
3.1%
18866 1
 
3.1%
11493 1
 
3.1%
91559 1
 
3.1%
9489 1
 
3.1%
50085 1
 
3.1%
2140 1
 
3.1%
171719 1
 
3.1%
535353 1
 
3.1%
25044 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2140 1
3.1%
9489 1
3.1%
11493 1
3.1%
18866 1
3.1%
20943 1
3.1%
25044 1
3.1%
50085 1
3.1%
65042 1
3.1%
66183 1
3.1%
77184 1
3.1%
ValueCountFrequency (%)
535353 1
3.1%
172165 1
3.1%
171719 1
3.1%
115202 1
3.1%
111072 1
3.1%
91559 1
3.1%
79076 1
3.1%
77184 1
3.1%
66183 1
3.1%
65042 1
3.1%

2021년 4월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean97720.059
Minimum2371
Maximum546857
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:45:59.558131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2371
5-th percentile8447
Q120955
median68155
Q3113576
95-th percentile251935.4
Maximum546857
Range544486
Interquartile range (IQR)92621

Descriptive statistics

Standard deviation127558.05
Coefficient of variation (CV)1.3053415
Kurtosis10.469567
Mean97720.059
Median Absolute Deviation (MAD)46076
Skewness3.0029619
Sum1661241
Variance1.6271056 × 1010
MonotonicityNot monotonic
2023-12-12T09:45:59.704809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
113576 1
 
3.1%
20317 1
 
3.1%
11647 1
 
3.1%
96647 1
 
3.1%
9966 1
 
3.1%
49809 1
 
3.1%
2371 1
 
3.1%
174824 1
 
3.1%
546857 1
 
3.1%
29353 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2371 1
3.1%
9966 1
3.1%
11647 1
3.1%
20317 1
3.1%
20955 1
3.1%
29353 1
3.1%
49809 1
3.1%
64840 1
3.1%
68155 1
3.1%
77623 1
3.1%
ValueCountFrequency (%)
546857 1
3.1%
178205 1
3.1%
174824 1
3.1%
114231 1
3.1%
113576 1
3.1%
96647 1
3.1%
81865 1
3.1%
77623 1
3.1%
68155 1
3.1%
64840 1
3.1%

2021년 5월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean105908.82
Minimum2780
Maximum581979
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:45:59.843386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2780
5-th percentile9340.8
Q122361
median74348
Q3123869
95-th percentile276557.4
Maximum581979
Range579199
Interquartile range (IQR)101508

Descriptive statistics

Standard deviation136696.47
Coefficient of variation (CV)1.2906996
Kurtosis9.8880343
Mean105908.82
Median Absolute Deviation (MAD)51987
Skewness2.9089109
Sum1800450
Variance1.8685926 × 1010
MonotonicityNot monotonic
2023-12-12T09:45:59.996757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
126896 1
 
3.1%
22361 1
 
3.1%
12732 1
 
3.1%
103249 1
 
3.1%
10981 1
 
3.1%
54869 1
 
3.1%
2780 1
 
3.1%
200202 1
 
3.1%
581979 1
 
3.1%
30309 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2780 1
3.1%
10981 1
3.1%
12732 1
3.1%
20781 1
3.1%
22361 1
3.1%
30309 1
3.1%
54869 1
3.1%
68433 1
3.1%
74348 1
3.1%
81692 1
3.1%
ValueCountFrequency (%)
581979 1
3.1%
200202 1
3.1%
197856 1
3.1%
126896 1
3.1%
123869 1
3.1%
103249 1
3.1%
87113 1
3.1%
81692 1
3.1%
74348 1
3.1%
68433 1
3.1%

2021년 6월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean102585.53
Minimum2589
Maximum572888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:46:00.197332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2589
5-th percentile8685
Q121021
median70569
Q3117801
95-th percentile274481.6
Maximum572888
Range570299
Interquartile range (IQR)96780

Descriptive statistics

Standard deviation134259.91
Coefficient of variation (CV)1.3087607
Kurtosis10.193874
Mean102585.53
Median Absolute Deviation (MAD)49548
Skewness2.9613333
Sum1743954
Variance1.8025723 × 1010
MonotonicityNot monotonic
2023-12-12T09:46:00.355323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
120902 1
 
3.1%
21021 1
 
3.1%
12228 1
 
3.1%
100018 1
 
3.1%
10209 1
 
3.1%
52112 1
 
3.1%
2589 1
 
3.1%
199880 1
 
3.1%
572888 1
 
3.1%
28694 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2589 1
3.1%
10209 1
3.1%
12228 1
3.1%
20212 1
3.1%
21021 1
3.1%
28694 1
3.1%
52112 1
3.1%
68092 1
3.1%
70569 1
3.1%
81684 1
3.1%
ValueCountFrequency (%)
572888 1
3.1%
199880 1
3.1%
180484 1
3.1%
120902 1
3.1%
117801 1
3.1%
100018 1
3.1%
84571 1
3.1%
81684 1
3.1%
70569 1
3.1%
68092 1
3.1%

2021년 7월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean94310.588
Minimum2481
Maximum510607
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:46:00.504122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2481
5-th percentile8551.4
Q120263
median66620
Q3109084
95-th percentile248955.8
Maximum510607
Range508126
Interquartile range (IQR)88821

Descriptive statistics

Standard deviation119896.59
Coefficient of variation (CV)1.2712952
Kurtosis9.7360465
Mean94310.588
Median Absolute Deviation (MAD)42778
Skewness2.8821458
Sum1603280
Variance1.4375193 × 1010
MonotonicityNot monotonic
2023-12-12T09:46:00.670873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
109398 1
 
3.1%
20263 1
 
3.1%
11351 1
 
3.1%
89996 1
 
3.1%
10069 1
 
3.1%
47543 1
 
3.1%
2481 1
 
3.1%
183543 1
 
3.1%
510607 1
 
3.1%
27671 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2481 1
3.1%
10069 1
3.1%
11351 1
3.1%
20090 1
3.1%
20263 1
3.1%
27671 1
3.1%
47543 1
3.1%
64814 1
3.1%
66620 1
3.1%
77578 1
3.1%
ValueCountFrequency (%)
510607 1
3.1%
183543 1
3.1%
172486 1
3.1%
109398 1
3.1%
109084 1
3.1%
89996 1
3.1%
79686 1
3.1%
77578 1
3.1%
66620 1
3.1%
64814 1
3.1%

2021년 8월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean93166.294
Minimum2557
Maximum519717
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:46:00.799280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2557
5-th percentile8542.6
Q120332
median68430
Q3106116
95-th percentile237770.6
Maximum519717
Range517160
Interquartile range (IQR)85784

Descriptive statistics

Standard deviation120990.69
Coefficient of variation (CV)1.298653
Kurtosis10.53778
Mean93166.294
Median Absolute Deviation (MAD)48098
Skewness3.0108016
Sum1583827
Variance1.4638746 × 1010
MonotonicityNot monotonic
2023-12-12T09:46:00.934704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
117123 1
 
3.1%
20332 1
 
3.1%
11320 1
 
3.1%
87788 1
 
3.1%
10039 1
 
3.1%
46810 1
 
3.1%
2557 1
 
3.1%
163086 1
 
3.1%
519717 1
 
3.1%
26999 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2557 1
3.1%
10039 1
3.1%
11320 1
3.1%
19811 1
3.1%
20332 1
3.1%
26999 1
3.1%
46810 1
3.1%
62393 1
3.1%
68430 1
3.1%
74894 1
3.1%
ValueCountFrequency (%)
519717 1
3.1%
167284 1
3.1%
163086 1
3.1%
117123 1
3.1%
106116 1
3.1%
87788 1
3.1%
79128 1
3.1%
74894 1
3.1%
68430 1
3.1%
62393 1
3.1%

2021년 9월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean90915.294
Minimum2311
Maximum501261
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:46:01.050543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2311
5-th percentile8387
Q119300
median66813
Q3103897
95-th percentile235149.8
Maximum501261
Range498950
Interquartile range (IQR)84597

Descriptive statistics

Standard deviation117220.03
Coefficient of variation (CV)1.2893323
Kurtosis10.157491
Mean90915.294
Median Absolute Deviation (MAD)46933
Skewness2.9491331
Sum1545560
Variance1.3740534 × 1010
MonotonicityNot monotonic
2023-12-12T09:46:01.170258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
113746 1
 
3.1%
19269 1
 
3.1%
10612 1
 
3.1%
88080 1
 
3.1%
9906 1
 
3.1%
45908 1
 
3.1%
2311 1
 
3.1%
163272 1
 
3.1%
501261 1
 
3.1%
25862 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2311 1
3.1%
9906 1
3.1%
10612 1
3.1%
19269 1
3.1%
19300 1
3.1%
25862 1
3.1%
45908 1
3.1%
62316 1
3.1%
66813 1
3.1%
69741 1
3.1%
ValueCountFrequency (%)
501261 1
3.1%
168622 1
3.1%
163272 1
3.1%
113746 1
3.1%
103897 1
3.1%
88080 1
3.1%
74644 1
3.1%
69741 1
3.1%
66813 1
3.1%
62316 1
3.1%

2021년 10월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean111867.12
Minimum2949
Maximum607702
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:46:01.296655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2949
5-th percentile9944.2
Q123806
median81618
Q3127272
95-th percentile291957.2
Maximum607702
Range604753
Interquartile range (IQR)103466

Descriptive statistics

Standard deviation142398.64
Coefficient of variation (CV)1.2729267
Kurtosis9.8801626
Mean111867.12
Median Absolute Deviation (MAD)57812
Skewness2.9027458
Sum1901741
Variance2.0277372 × 1010
MonotonicityNot monotonic
2023-12-12T09:46:01.746105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
139542 1
 
3.1%
23806 1
 
3.1%
13051 1
 
3.1%
107721 1
 
3.1%
11693 1
 
3.1%
56534 1
 
3.1%
2949 1
 
3.1%
213021 1
 
3.1%
607702 1
 
3.1%
37024 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2949 1
3.1%
11693 1
3.1%
13051 1
3.1%
22113 1
3.1%
23806 1
3.1%
37024 1
3.1%
56534 1
3.1%
76616 1
3.1%
81618 1
3.1%
85277 1
3.1%
ValueCountFrequency (%)
607702 1
3.1%
213021 1
3.1%
201451 1
3.1%
139542 1
3.1%
127272 1
3.1%
107721 1
3.1%
94351 1
3.1%
85277 1
3.1%
81618 1
3.1%
76616 1
3.1%

2021년 11월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean113851.35
Minimum3090
Maximum620149
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:46:01.895093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3090
5-th percentile10760.4
Q123770
median82609
Q3130517
95-th percentile298552.2
Maximum620149
Range617059
Interquartile range (IQR)106747

Descriptive statistics

Standard deviation145257.38
Coefficient of variation (CV)1.2758511
Kurtosis9.9328264
Mean113851.35
Median Absolute Deviation (MAD)58764
Skewness2.9100595
Sum1935473
Variance2.1099705 × 1010
MonotonicityNot monotonic
2023-12-12T09:46:02.006838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
141373 1
 
3.1%
23770 1
 
3.1%
12875 1
 
3.1%
109215 1
 
3.1%
12678 1
 
3.1%
58379 1
 
3.1%
3090 1
 
3.1%
218153 1
 
3.1%
620149 1
 
3.1%
35595 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
3090 1
3.1%
12678 1
3.1%
12875 1
3.1%
21442 1
3.1%
23770 1
3.1%
35595 1
3.1%
58379 1
3.1%
77765 1
3.1%
82609 1
3.1%
88766 1
3.1%
ValueCountFrequency (%)
620149 1
3.1%
218153 1
3.1%
201078 1
3.1%
141373 1
3.1%
130517 1
3.1%
109215 1
3.1%
98019 1
3.1%
88766 1
3.1%
82609 1
3.1%
77765 1
3.1%

2021년 12월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean111198
Minimum2736
Maximum603819
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:46:02.124275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2736
5-th percentile8891.2
Q122366
median84249
Q3128138
95-th percentile292638.2
Maximum603819
Range601083
Interquartile range (IQR)105772

Descriptive statistics

Standard deviation141868.92
Coefficient of variation (CV)1.2758226
Kurtosis9.7379944
Mean111198
Median Absolute Deviation (MAD)55727
Skewness2.8744598
Sum1890366
Variance2.0126789 × 1010
MonotonicityNot monotonic
2023-12-12T09:46:02.260264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
139976 1
 
3.1%
22366 1
 
3.1%
12446 1
 
3.1%
106556 1
 
3.1%
10430 1
 
3.1%
55853 1
 
3.1%
2736 1
 
3.1%
214843 1
 
3.1%
603819 1
 
3.1%
30610 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2736 1
3.1%
10430 1
3.1%
12446 1
3.1%
21318 1
3.1%
22366 1
3.1%
30610 1
3.1%
55853 1
3.1%
75092 1
3.1%
84249 1
3.1%
88227 1
3.1%
ValueCountFrequency (%)
603819 1
3.1%
214843 1
3.1%
197730 1
3.1%
139976 1
3.1%
128138 1
3.1%
106556 1
3.1%
95977 1
3.1%
88227 1
3.1%
84249 1
3.1%
75092 1
3.1%

2022년 1월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean102388.71
Minimum2553
Maximum556977
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:46:02.386051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2553
5-th percentile8707.4
Q120548
median75932
Q3115626
95-th percentile273436.2
Maximum556977
Range554424
Interquartile range (IQR)95078

Descriptive statistics

Standard deviation131177.19
Coefficient of variation (CV)1.2811686
Kurtosis9.6362262
Mean102388.71
Median Absolute Deviation (MAD)53809
Skewness2.8648152
Sum1740608
Variance1.7207456 × 1010
MonotonicityNot monotonic
2023-12-12T09:46:02.534461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
129741 1
 
3.1%
19958 1
 
3.1%
11476 1
 
3.1%
97448 1
 
3.1%
10246 1
 
3.1%
49766 1
 
3.1%
2553 1
 
3.1%
202551 1
 
3.1%
556977 1
 
3.1%
29808 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2553 1
3.1%
10246 1
3.1%
11476 1
3.1%
19958 1
3.1%
20548 1
3.1%
29808 1
3.1%
49766 1
3.1%
69661 1
3.1%
75932 1
3.1%
79398 1
3.1%
ValueCountFrequency (%)
556977 1
3.1%
202551 1
3.1%
184855 1
3.1%
129741 1
3.1%
115626 1
3.1%
97448 1
3.1%
84064 1
3.1%
79398 1
3.1%
75932 1
3.1%
69661 1
3.1%

2022년 2월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean90014.059
Minimum2097
Maximum504080
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:46:02.680255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2097
5-th percentile7078.6
Q117517
median68486
Q3102988
95-th percentile241225.6
Maximum504080
Range501983
Interquartile range (IQR)85471

Descriptive statistics

Standard deviation118254.91
Coefficient of variation (CV)1.3137382
Kurtosis10.170748
Mean90014.059
Median Absolute Deviation (MAD)44352
Skewness2.9563213
Sum1530239
Variance1.3984223 × 1010
MonotonicityNot monotonic
2023-12-12T09:46:02.803917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
112838 1
 
3.1%
17517 1
 
3.1%
9934 1
 
3.1%
81948 1
 
3.1%
8324 1
 
3.1%
42466 1
 
3.1%
2097 1
 
3.1%
175512 1
 
3.1%
504080 1
 
3.1%
27475 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
2097 1
3.1%
8324 1
3.1%
9934 1
3.1%
17071 1
3.1%
17517 1
3.1%
27475 1
3.1%
42466 1
3.1%
57699 1
3.1%
68486 1
3.1%
69947 1
3.1%
ValueCountFrequency (%)
504080 1
3.1%
175512 1
3.1%
157252 1
3.1%
112838 1
3.1%
102988 1
3.1%
81948 1
3.1%
74605 1
3.1%
69947 1
3.1%
68486 1
3.1%
57699 1
3.1%

2022년 3월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing14
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean92085.611
Minimum229
Maximum535945
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:46:02.919826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum229
5-th percentile2155.95
Q118968.25
median69678.5
Q3109993
95-th percentile229316.85
Maximum535945
Range535716
Interquartile range (IQR)91024.75

Descriptive statistics

Standard deviation123535.88
Coefficient of variation (CV)1.3415329
Kurtosis10.499032
Mean92085.611
Median Absolute Deviation (MAD)49638.5
Skewness2.9785572
Sum1657541
Variance1.5261113 × 1010
MonotonicityNot monotonic
2023-12-12T09:46:03.055212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
63139 1
 
3.1%
18871 1
 
3.1%
11220 1
 
3.1%
91855 1
 
3.1%
9287 1
 
3.1%
50384 1
 
3.1%
2496 1
 
3.1%
173427 1
 
3.1%
535945 1
 
3.1%
118537 1
 
3.1%
Other values (8) 8
25.0%
(Missing) 14
43.8%
ValueCountFrequency (%)
229 1
3.1%
2496 1
3.1%
9287 1
3.1%
11220 1
3.1%
18871 1
3.1%
19260 1
3.1%
28109 1
3.1%
50384 1
3.1%
63139 1
3.1%
76218 1
3.1%
ValueCountFrequency (%)
535945 1
3.1%
175206 1
3.1%
173427 1
3.1%
118537 1
3.1%
116039 1
3.1%
91855 1
3.1%
88263 1
3.1%
79056 1
3.1%
76218 1
3.1%
63139 1
3.1%

2022년 4월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing14
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean108619.44
Minimum2944
Maximum624500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:46:03.192137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2944
5-th percentile8033.8
Q122002.25
median81359
Q3124284.5
95-th percentile282740.5
Maximum624500
Range621556
Interquartile range (IQR)102282.25

Descriptive statistics

Standard deviation143753.63
Coefficient of variation (CV)1.3234613
Kurtosis10.438581
Mean108619.44
Median Absolute Deviation (MAD)58338.5
Skewness2.9794737
Sum1955150
Variance2.0665107 × 1010
MonotonicityNot monotonic
2023-12-12T09:46:03.339193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
75063 1
 
3.1%
23446 1
 
3.1%
13051 1
 
3.1%
109358 1
 
3.1%
10944 1
 
3.1%
58101 1
 
3.1%
2944 1
 
3.1%
222430 1
 
3.1%
624500 1
 
3.1%
140123 1
 
3.1%
Other values (8) 8
25.0%
(Missing) 14
43.8%
ValueCountFrequency (%)
2944 1
3.1%
8932 1
3.1%
10944 1
3.1%
13051 1
3.1%
21521 1
3.1%
23446 1
3.1%
44471 1
3.1%
58101 1
3.1%
75063 1
3.1%
87655 1
3.1%
ValueCountFrequency (%)
624500 1
3.1%
222430 1
3.1%
195041 1
3.1%
140123 1
3.1%
129260 1
3.1%
109358 1
3.1%
99768 1
3.1%
88542 1
3.1%
87655 1
3.1%
75063 1
3.1%

2022년 5월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing14
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean121983.39
Minimum3253
Maximum687595
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:46:03.472742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3253
5-th percentile9398.5
Q124603
median91990.5
Q3139603.25
95-th percentile328277.9
Maximum687595
Range684342
Interquartile range (IQR)115000.25

Descriptive statistics

Standard deviation159554.55
Coefficient of variation (CV)1.3080022
Kurtosis9.8022066
Mean121983.39
Median Absolute Deviation (MAD)66384.5
Skewness2.8797016
Sum2195701
Variance2.5457653 × 1010
MonotonicityNot monotonic
2023-12-12T09:46:03.609214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
86433 1
 
3.1%
27612 1
 
3.1%
14371 1
 
3.1%
125039 1
 
3.1%
12309 1
 
3.1%
65664 1
 
3.1%
3253 1
 
3.1%
264869 1
 
3.1%
687595 1
 
3.1%
160667 1
 
3.1%
Other values (8) 8
25.0%
(Missing) 14
43.8%
ValueCountFrequency (%)
3253 1
3.1%
10483 1
3.1%
12309 1
3.1%
14371 1
3.1%
23600 1
3.1%
27612 1
3.1%
43569 1
3.1%
65664 1
3.1%
86433 1
3.1%
97548 1
3.1%
ValueCountFrequency (%)
687595 1
3.1%
264869 1
3.1%
221069 1
3.1%
160667 1
3.1%
144458 1
3.1%
125039 1
3.1%
107835 1
3.1%
99327 1
3.1%
97548 1
3.1%
86433 1
3.1%

2022년 6월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing14
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean116133.5
Minimum3269
Maximum659063
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:46:03.729981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3269
5-th percentile8732.8
Q123453.75
median88177.5
Q3132308.75
95-th percentile315928.2
Maximum659063
Range655794
Interquartile range (IQR)108855

Descriptive statistics

Standard deviation152829.73
Coefficient of variation (CV)1.3159831
Kurtosis9.9137177
Mean116133.5
Median Absolute Deviation (MAD)63754
Skewness2.8999933
Sum2090403
Variance2.3356926 × 1010
MonotonicityNot monotonic
2023-12-12T09:46:03.846919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
82188 1
 
3.1%
26363 1
 
3.1%
13707 1
 
3.1%
118064 1
 
3.1%
11570 1
 
3.1%
60302 1
 
3.1%
3269 1
 
3.1%
255375 1
 
3.1%
659063 1
 
3.1%
155295 1
 
3.1%
Other values (8) 8
25.0%
(Missing) 14
43.8%
ValueCountFrequency (%)
3269 1
3.1%
9697 1
3.1%
11570 1
3.1%
13707 1
3.1%
22484 1
3.1%
26363 1
3.1%
41796 1
3.1%
60302 1
3.1%
82188 1
3.1%
94167 1
3.1%
ValueCountFrequency (%)
659063 1
3.1%
255375 1
3.1%
203735 1
3.1%
155295 1
3.1%
137057 1
3.1%
118064 1
3.1%
100505 1
3.1%
95766 1
3.1%
94167 1
3.1%
82188 1
3.1%

2022년 7월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing14
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean119692.5
Minimum3157
Maximum679734
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:46:03.980757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3157
5-th percentile9566
Q124376.75
median89373.5
Q3133459.25
95-th percentile335197.55
Maximum679734
Range676577
Interquartile range (IQR)109082.5

Descriptive statistics

Standard deviation158226.68
Coefficient of variation (CV)1.3219432
Kurtosis9.7355499
Mean119692.5
Median Absolute Deviation (MAD)64319
Skewness2.8809048
Sum2154465
Variance2.5035683 × 1010
MonotonicityNot monotonic
2023-12-12T09:46:04.104743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
83697 1
 
3.1%
26410 1
 
3.1%
14479 1
 
3.1%
120308 1
 
3.1%
12108 1
 
3.1%
61044 1
 
3.1%
3157 1
 
3.1%
274397 1
 
3.1%
679734 1
 
3.1%
157320 1
 
3.1%
Other values (8) 8
25.0%
(Missing) 14
43.8%
ValueCountFrequency (%)
3157 1
3.1%
10697 1
3.1%
12108 1
3.1%
14479 1
3.1%
23699 1
3.1%
26410 1
3.1%
42714 1
3.1%
61044 1
3.1%
83697 1
3.1%
95050 1
3.1%
ValueCountFrequency (%)
679734 1
3.1%
274397 1
3.1%
210581 1
3.1%
157320 1
3.1%
137843 1
3.1%
120308 1
3.1%
101793 1
3.1%
99434 1
3.1%
95050 1
3.1%
83697 1
3.1%

2022년 8월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing14
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean117843.56
Minimum2981
Maximum672715
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:46:04.270242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2981
5-th percentile9511.55
Q123632
median87730.5
Q3130104.25
95-th percentile331579.4
Maximum672715
Range669734
Interquartile range (IQR)106472.25

Descriptive statistics

Standard deviation156490.57
Coefficient of variation (CV)1.3279519
Kurtosis9.8268583
Mean117843.56
Median Absolute Deviation (MAD)63075.5
Skewness2.8982916
Sum2121184
Variance2.4489298 × 1010
MonotonicityNot monotonic
2023-12-12T09:46:04.438031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
82203 1
 
3.1%
26701 1
 
3.1%
13469 1
 
3.1%
117661 1
 
3.1%
12009 1
 
3.1%
59952 1
 
3.1%
2981 1
 
3.1%
271379 1
 
3.1%
672715 1
 
3.1%
153775 1
 
3.1%
Other values (8) 8
25.0%
(Missing) 14
43.8%
ValueCountFrequency (%)
2981 1
3.1%
10664 1
3.1%
12009 1
3.1%
13469 1
3.1%
22609 1
3.1%
26701 1
3.1%
44612 1
3.1%
59952 1
3.1%
82203 1
3.1%
93258 1
3.1%
ValueCountFrequency (%)
672715 1
3.1%
271379 1
3.1%
206180 1
3.1%
153775 1
3.1%
134252 1
3.1%
117661 1
3.1%
98419 1
3.1%
98345 1
3.1%
93258 1
3.1%
82203 1
3.1%

2022년 9월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing14
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean113729.22
Minimum3168
Maximum650906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:46:04.595663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3168
5-th percentile8845.15
Q123294.75
median86135.5
Q3130313.75
95-th percentile296900.55
Maximum650906
Range647738
Interquartile range (IQR)107019

Descriptive statistics

Standard deviation150155.1
Coefficient of variation (CV)1.320286
Kurtosis10.27116
Mean113729.22
Median Absolute Deviation (MAD)61882
Skewness2.9516692
Sum2047126
Variance2.2546555 × 1010
MonotonicityNot monotonic
2023-12-12T09:46:04.752381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
82002 1
 
3.1%
25364 1
 
3.1%
13162 1
 
3.1%
117008 1
 
3.1%
12180 1
 
3.1%
61400 1
 
3.1%
3168 1
 
3.1%
234429 1
 
3.1%
650906 1
 
3.1%
149128 1
 
3.1%
Other values (8) 8
25.0%
(Missing) 14
43.8%
ValueCountFrequency (%)
3168 1
3.1%
9847 1
3.1%
12180 1
3.1%
13162 1
3.1%
22605 1
3.1%
25364 1
3.1%
38815 1
3.1%
61400 1
3.1%
82002 1
3.1%
90269 1
3.1%
ValueCountFrequency (%)
650906 1
3.1%
234429 1
3.1%
205919 1
3.1%
149128 1
3.1%
134749 1
3.1%
117008 1
3.1%
100248 1
3.1%
95927 1
3.1%
90269 1
3.1%
82002 1
3.1%

2022년 10월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing14
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean124959.67
Minimum3719
Maximum704982
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:46:04.898262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3719
5-th percentile9168.35
Q124643.75
median94446.5
Q3141073.5
95-th percentile337306.85
Maximum704982
Range701263
Interquartile range (IQR)116429.75

Descriptive statistics

Standard deviation163270.58
Coefficient of variation (CV)1.3065862
Kurtosis9.9155289
Mean124959.67
Median Absolute Deviation (MAD)66356
Skewness2.8988794
Sum2249274
Variance2.6657281 × 1010
MonotonicityNot monotonic
2023-12-12T09:46:05.048095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
91639 1
 
3.1%
28576 1
 
3.1%
14435 1
 
3.1%
128370 1
 
3.1%
12599 1
 
3.1%
66392 1
 
3.1%
3719 1
 
3.1%
272423 1
 
3.1%
704982 1
 
3.1%
161288 1
 
3.1%
Other values (8) 8
25.0%
(Missing) 14
43.8%
ValueCountFrequency (%)
3719 1
3.1%
10130 1
3.1%
12599 1
3.1%
14435 1
3.1%
23333 1
3.1%
28576 1
3.1%
51417 1
3.1%
66392 1
3.1%
91639 1
3.1%
97254 1
3.1%
ValueCountFrequency (%)
704982 1
3.1%
272423 1
3.1%
222791 1
3.1%
161288 1
3.1%
145308 1
3.1%
128370 1
3.1%
108495 1
3.1%
106123 1
3.1%
97254 1
3.1%
91639 1
3.1%

2022년 11월
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)94.4%
Missing14
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean120126.11
Minimum3395
Maximum678849
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:46:05.175085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3395
5-th percentile8884.3
Q123623.25
median92672.5
Q3137888
95-th percentile322741.5
Maximum678849
Range675454
Interquartile range (IQR)114264.75

Descriptive statistics

Standard deviation157095.24
Coefficient of variation (CV)1.3077527
Kurtosis9.9729636
Mean120126.11
Median Absolute Deviation (MAD)63296
Skewness2.9058242
Sum2162270
Variance2.4678915 × 1010
MonotonicityNot monotonic
2023-12-12T09:46:05.328561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
13737 2
 
6.2%
152082 1
 
3.1%
25490 1
 
3.1%
124370 1
 
3.1%
64443 1
 
3.1%
3395 1
 
3.1%
259899 1
 
3.1%
85599 1
 
3.1%
678849 1
 
3.1%
212975 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 14
43.8%
ValueCountFrequency (%)
3395 1
3.1%
9853 1
3.1%
13737 2
6.2%
23001 1
3.1%
25490 1
3.1%
45291 1
3.1%
64443 1
3.1%
85599 1
3.1%
99746 1
3.1%
100765 1
3.1%
ValueCountFrequency (%)
678849 1
3.1%
259899 1
3.1%
212975 1
3.1%
152082 1
3.1%
142394 1
3.1%
124370 1
3.1%
106644 1
3.1%
100765 1
3.1%
99746 1
3.1%
85599 1
3.1%

2022년 12월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing14
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean122110.61
Minimum3237
Maximum688001
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:46:05.487818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3237
5-th percentile9926.5
Q124149.25
median93566.5
Q3140731.5
95-th percentile330848
Maximum688001
Range684764
Interquartile range (IQR)116582.25

Descriptive statistics

Standard deviation159724.29
Coefficient of variation (CV)1.3080296
Kurtosis9.7757621
Mean122110.61
Median Absolute Deviation (MAD)66446
Skewness2.8726632
Sum2197991
Variance2.551185 × 1010
MonotonicityNot monotonic
2023-12-12T09:46:05.625257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
86358 1
 
3.1%
25668 1
 
3.1%
13678 1
 
3.1%
128868 1
 
3.1%
11826 1
 
3.1%
65142 1
 
3.1%
3237 1
 
3.1%
267821 1
 
3.1%
688001 1
 
3.1%
158560 1
 
3.1%
Other values (8) 8
25.0%
(Missing) 14
43.8%
ValueCountFrequency (%)
3237 1
3.1%
11107 1
3.1%
11826 1
3.1%
13678 1
3.1%
23643 1
3.1%
25668 1
3.1%
40371 1
3.1%
65142 1
3.1%
86358 1
3.1%
100775 1
3.1%
ValueCountFrequency (%)
688001 1
3.1%
267821 1
3.1%
215961 1
3.1%
158560 1
3.1%
144686 1
3.1%
128868 1
3.1%
107884 1
3.1%
104405 1
3.1%
100775 1
3.1%
86358 1
3.1%

2023년 1월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing14
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean117133.44
Minimum3196
Maximum669773
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:46:05.763203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3196
5-th percentile10343.65
Q124124.25
median88507.5
Q3131860.25
95-th percentile315915.45
Maximum669773
Range666577
Interquartile range (IQR)107736

Descriptive statistics

Standard deviation155074.88
Coefficient of variation (CV)1.3239164
Kurtosis10.07276
Mean117133.44
Median Absolute Deviation (MAD)63849
Skewness2.9259655
Sum2108402
Variance2.4048219 × 1010
MonotonicityNot monotonic
2023-12-12T09:46:05.915152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
84820 1
 
3.1%
25727 1
 
3.1%
13756 1
 
3.1%
120845 1
 
3.1%
11724 1
 
3.1%
60009 1
 
3.1%
3196 1
 
3.1%
253470 1
 
3.1%
669773 1
 
3.1%
156369 1
 
3.1%
Other values (8) 8
25.0%
(Missing) 14
43.8%
ValueCountFrequency (%)
3196 1
3.1%
11605 1
3.1%
11724 1
3.1%
13756 1
3.1%
23590 1
3.1%
25727 1
3.1%
38845 1
3.1%
60009 1
3.1%
84820 1
3.1%
92195 1
3.1%
ValueCountFrequency (%)
669773 1
3.1%
253470 1
3.1%
207795 1
3.1%
156369 1
3.1%
135532 1
3.1%
120845 1
3.1%
102210 1
3.1%
96941 1
3.1%
92195 1
3.1%
84820 1
3.1%

2023년 2월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing14
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean112658.56
Minimum3004
Maximum632153
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:46:06.073292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3004
5-th percentile8937.85
Q122029.25
median85811.5
Q3130267.75
95-th percentile312935.5
Maximum632153
Range629149
Interquartile range (IQR)108238.5

Descriptive statistics

Standard deviation147347.43
Coefficient of variation (CV)1.3079116
Kurtosis9.5381
Mean112658.56
Median Absolute Deviation (MAD)61503.5
Skewness2.8411415
Sum2027854
Variance2.1711266 × 1010
MonotonicityNot monotonic
2023-12-12T09:46:06.222820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
79885 1
 
3.1%
23218 1
 
3.1%
12443 1
 
3.1%
114160 1
 
3.1%
10334 1
 
3.1%
56687 1
 
3.1%
3004 1
 
3.1%
256603 1
 
3.1%
632153 1
 
3.1%
146225 1
 
3.1%
Other values (8) 8
25.0%
(Missing) 14
43.8%
ValueCountFrequency (%)
3004 1
3.1%
9985 1
3.1%
10334 1
3.1%
12443 1
3.1%
21633 1
3.1%
23218 1
3.1%
42623 1
3.1%
56687 1
3.1%
79885 1
3.1%
91738 1
3.1%
ValueCountFrequency (%)
632153 1
3.1%
256603 1
3.1%
198653 1
3.1%
146225 1
3.1%
135637 1
3.1%
114160 1
3.1%
97925 1
3.1%
94948 1
3.1%
91738 1
3.1%
79885 1
3.1%

2023년 3월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing14
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean120352.78
Minimum3370
Maximum686220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:46:06.377728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3370
5-th percentile9446.65
Q123643
median93533
Q3139759.75
95-th percentile315523.1
Maximum686220
Range682850
Interquartile range (IQR)116116.75

Descriptive statistics

Standard deviation158336.63
Coefficient of variation (CV)1.3156043
Kurtosis10.219772
Mean120352.78
Median Absolute Deviation (MAD)64435
Skewness2.9398653
Sum2166350
Variance2.5070489 × 1010
MonotonicityNot monotonic
2023-12-12T09:46:06.537692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
86616 1
 
3.1%
24699 1
 
3.1%
13480 1
 
3.1%
119686 1
 
3.1%
11180 1
 
3.1%
63891 1
 
3.1%
3370 1
 
3.1%
250106 1
 
3.1%
686220 1
 
3.1%
153569 1
 
3.1%
Other values (8) 8
25.0%
(Missing) 14
43.8%
ValueCountFrequency (%)
3370 1
3.1%
10519 1
3.1%
11180 1
3.1%
13480 1
3.1%
23291 1
3.1%
24699 1
3.1%
44074 1
3.1%
63891 1
3.1%
86616 1
3.1%
100450 1
3.1%
ValueCountFrequency (%)
686220 1
3.1%
250106 1
3.1%
214212 1
3.1%
153569 1
3.1%
146451 1
3.1%
119686 1
3.1%
110400 1
3.1%
104136 1
3.1%
100450 1
3.1%
86616 1
3.1%

2023년 4월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing14
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean120964.72
Minimum3542
Maximum684185
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:46:06.681859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3542
5-th percentile9489.45
Q123684
median92294.5
Q3140825.5
95-th percentile321284.3
Maximum684185
Range680643
Interquartile range (IQR)117141.5

Descriptive statistics

Standard deviation157913.26
Coefficient of variation (CV)1.3054489
Kurtosis10.118584
Mean120964.72
Median Absolute Deviation (MAD)63389.5
Skewness2.9266795
Sum2177365
Variance2.4936597 × 1010
MonotonicityNot monotonic
2023-12-12T09:46:06.836424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
84684 1
 
3.1%
26276 1
 
3.1%
13882 1
 
3.1%
121486 1
 
3.1%
11910 1
 
3.1%
65558 1
 
3.1%
3542 1
 
3.1%
257243 1
 
3.1%
684185 1
 
3.1%
153055 1
 
3.1%
Other values (8) 8
25.0%
(Missing) 14
43.8%
ValueCountFrequency (%)
3542 1
3.1%
10539 1
3.1%
11910 1
3.1%
13882 1
3.1%
22820 1
3.1%
26276 1
3.1%
51515 1
3.1%
65558 1
3.1%
84684 1
3.1%
99905 1
3.1%
ValueCountFrequency (%)
684185 1
3.1%
257243 1
3.1%
212262 1
3.1%
153055 1
3.1%
147272 1
3.1%
121486 1
3.1%
108054 1
3.1%
103177 1
3.1%
99905 1
3.1%
84684 1
3.1%

2023년 5월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing14
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean125460.17
Minimum3859
Maximum703512
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:46:06.998169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3859
5-th percentile10157.5
Q124631.25
median95609.5
Q3144182.75
95-th percentile338969.1
Maximum703512
Range699653
Interquartile range (IQR)119551.5

Descriptive statistics

Standard deviation163201.68
Coefficient of variation (CV)1.3008246
Kurtosis9.7627752
Mean125460.17
Median Absolute Deviation (MAD)68437.5
Skewness2.8713398
Sum2258283
Variance2.6634787 × 1010
MonotonicityNot monotonic
2023-12-12T09:46:07.151377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
89850 1
 
3.1%
27506 1
 
3.1%
13860 1
 
3.1%
126842 1
 
3.1%
12222 1
 
3.1%
69400 1
 
3.1%
3859 1
 
3.1%
274638 1
 
3.1%
703512 1
 
3.1%
164381 1
 
3.1%
Other values (8) 8
25.0%
(Missing) 14
43.8%
ValueCountFrequency (%)
3859 1
3.1%
11269 1
3.1%
12222 1
3.1%
13860 1
3.1%
23673 1
3.1%
27506 1
3.1%
46759 1
3.1%
69400 1
3.1%
89850 1
3.1%
101369 1
3.1%
ValueCountFrequency (%)
703512 1
3.1%
274638 1
3.1%
222596 1
3.1%
164381 1
3.1%
149963 1
3.1%
126842 1
3.1%
110132 1
3.1%
106452 1
3.1%
101369 1
3.1%
89850 1
3.1%

2023년 6월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing14
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean120783.33
Minimum3494
Maximum685916
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:46:07.291040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3494
5-th percentile9734.7
Q123700.25
median92949.5
Q3140874
95-th percentile326957.6
Maximum685916
Range682422
Interquartile range (IQR)117173.75

Descriptive statistics

Standard deviation158859.56
Coefficient of variation (CV)1.3152441
Kurtosis9.9856685
Mean120783.33
Median Absolute Deviation (MAD)64589
Skewness2.908945
Sum2174100
Variance2.523636 × 1010
MonotonicityNot monotonic
2023-12-12T09:46:07.448142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
85560 1
 
3.1%
25453 1
 
3.1%
13329 1
 
3.1%
121137 1
 
3.1%
11380 1
 
3.1%
63844 1
 
3.1%
3494 1
 
3.1%
263612 1
 
3.1%
685916 1
 
3.1%
154631 1
 
3.1%
Other values (8) 8
25.0%
(Missing) 14
43.8%
ValueCountFrequency (%)
3494 1
3.1%
10836 1
3.1%
11380 1
3.1%
13329 1
3.1%
23116 1
3.1%
25453 1
3.1%
45001 1
3.1%
63844 1
3.1%
85560 1
3.1%
100339 1
3.1%
ValueCountFrequency (%)
685916 1
3.1%
263612 1
3.1%
211198 1
3.1%
154631 1
3.1%
147453 1
3.1%
121137 1
3.1%
106139 1
3.1%
101662 1
3.1%
100339 1
3.1%
85560 1
3.1%

2023년 7월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing14
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean123438.78
Minimum3272
Maximum690548
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:46:07.606081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3272
5-th percentile10475.75
Q125344.75
median95174.5
Q3144220.5
95-th percentile338654.8
Maximum690548
Range687276
Interquartile range (IQR)118875.75

Descriptive statistics

Standard deviation160717.89
Coefficient of variation (CV)1.3020048
Kurtosis9.5763149
Mean123438.78
Median Absolute Deviation (MAD)66588
Skewness2.844544
Sum2221898
Variance2.5830239 × 1010
MonotonicityNot monotonic
2023-12-12T09:46:07.741934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
88557 1
 
3.1%
25362 1
 
3.1%
13240 1
 
3.1%
122535 1
 
3.1%
11777 1
 
3.1%
64099 1
 
3.1%
3272 1
 
3.1%
276556 1
 
3.1%
690548 1
 
3.1%
158538 1
 
3.1%
Other values (8) 8
25.0%
(Missing) 14
43.8%
ValueCountFrequency (%)
3272 1
3.1%
11747 1
3.1%
11777 1
3.1%
13240 1
3.1%
25339 1
3.1%
25362 1
3.1%
45077 1
3.1%
64099 1
3.1%
88557 1
3.1%
101792 1
3.1%
ValueCountFrequency (%)
690548 1
3.1%
276556 1
3.1%
219954 1
3.1%
158538 1
3.1%
151449 1
3.1%
122535 1
3.1%
106555 1
3.1%
105501 1
3.1%
101792 1
3.1%
88557 1
3.1%

2023년 8월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing14
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean122863.28
Minimum3343
Maximum692875
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:46:07.865518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3343
5-th percentile10153.2
Q124542
median93329
Q3141945.25
95-th percentile343134
Maximum692875
Range689532
Interquartile range (IQR)117403.25

Descriptive statistics

Standard deviation161298.1
Coefficient of variation (CV)1.3128259
Kurtosis9.6576493
Mean122863.28
Median Absolute Deviation (MAD)64754.5
Skewness2.8649918
Sum2211539
Variance2.6017076 × 1010
MonotonicityNot monotonic
2023-12-12T09:46:07.996514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
85755 1
 
3.1%
27695 1
 
3.1%
13030 1
 
3.1%
121330 1
 
3.1%
11355 1
 
3.1%
64561 1
 
3.1%
3343 1
 
3.1%
281415 1
 
3.1%
692875 1
 
3.1%
157204 1
 
3.1%
Other values (8) 8
25.0%
(Missing) 14
43.8%
ValueCountFrequency (%)
3343 1
3.1%
11355 1
3.1%
11634 1
3.1%
13030 1
3.1%
23491 1
3.1%
27695 1
3.1%
46993 1
3.1%
64561 1
3.1%
85755 1
3.1%
100903 1
3.1%
ValueCountFrequency (%)
692875 1
3.1%
281415 1
3.1%
215017 1
3.1%
157204 1
3.1%
148817 1
3.1%
121330 1
3.1%
104697 1
3.1%
101424 1
3.1%
100903 1
3.1%
85755 1
3.1%

2023년 9월
Real number (ℝ)

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68584.344
Minimum356
Maximum673928
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T09:46:08.137673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum356
5-th percentile865.55
Q13899.75
median12014
Q398713
95-th percentile225883.9
Maximum673928
Range673572
Interquartile range (IQR)94813.25

Descriptive statistics

Standard deviation128981.62
Coefficient of variation (CV)1.8806278
Kurtosis15.932092
Mean68584.344
Median Absolute Deviation (MAD)11185.5
Skewness3.635092
Sum2194699
Variance1.6636258 × 1010
MonotonicityNot monotonic
2023-12-12T09:46:08.270693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
673928 1
 
3.1%
27482 1
 
3.1%
4151 1
 
3.1%
2214 1
 
3.1%
5150 1
 
3.1%
458 1
 
3.1%
356 1
 
3.1%
1199 1
 
3.1%
6663 1
 
3.1%
8418 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
356 1
3.1%
458 1
3.1%
1199 1
3.1%
1842 1
3.1%
2186 1
3.1%
2206 1
3.1%
2214 1
3.1%
3146 1
3.1%
4151 1
3.1%
4192 1
3.1%
ValueCountFrequency (%)
673928 1
3.1%
242011 1
3.1%
212689 1
3.1%
160688 1
3.1%
142105 1
3.1%
128342 1
3.1%
105632 1
3.1%
101521 1
3.1%
97777 1
3.1%
84043 1
3.1%

Sample

하차역2019년 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
0수서635413571951635148634961665793633893651270661198641660688598693801702925671906463622271878366778516854517385563094507766392803530983542071353762338121397223535353546857581979572888510607519717501261607702620149603819556977504080535945624500687595659063679734672715650906704982678849688001669773632153686220684185703512685916690548692875673928
1동탄12299211880612607212341413190312767212841113351613027313742613881314147914092291076526037106510109510072111116010388479794107006110995746337559986262111072113576126896120902109398117123113746139542141373139976129741112838118537140123160667155295157320153775149128161288152082158560156369146225153569153055164381154631158538157204160688
2평택지제56499526105939358909616356051661988631796207866757667496990466672489193393841300566945757062661574404781060350634474705145749496496618368155743487056966620684306681381618826098424975932684867621887655993279576699434983459592710612310076510440510221094948104136103177106452101662106555101424105632
3천안아산83674755959009488893913618831788589884858801698227998009678487673653834120755898736687540780493711535995375257773135373752280565737907681865871138457179686791287464494351980199597784064746058826399768107835100505101793984191002481084951066441078849694197925110400108054110132106139105501104697101521
4오송769856818878949803238236779227829828129578698887288916788842813696092439503518926973373809795106896658203722357654452794497395536877184776238169281684775787489469741852778876688227793986994779056885429754894167950509325890269972549974610077592195917381004509990510136910033910179210090397777
5대전13421312298014064813720014155813786813846813814513816814960015392414851813435396055544577842610969210757111124010262486493110385117362759407218882144115202114231123869117801109084106116103897127272130517128138115626102988116039129260144458137057137843134252134749145308142394144686135532135637146451147272149963147453151449148817142105
6김천구미25575232302467124412250472401625066247552461325502256392507224780165088880143371944419976227971994917181201142039514735136111596120943209552078120212200901981119300221132144221318205481707119260215212360022484236992260922605233332300123643235902163323291228202367323116253392349124260
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>2298932104839697106971066498471013098531110711605998510519105391126910836117471163411092
8동대구2109312047872169552093472187372108492126602169732142252261692341672317432228561274544356494628148533158870181388162675133639167716175757117862110097134415172165178205197856180484172486167284168622201451201078197730184855157252175206195041221069203735210581206180205919222791212975215961207795198653214212212262222596211198219954215017212689
9신경주25670260422961633869332753078629284332493047640497366193086329265180218207145682171521977261852668318272260492739415397146811934425044293533030928694276712699925862370243559530610298082747528109444714356941796427144461238815514174529140371388454262344074515154675945001450774699339971
하차역2019년 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>3146
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>4407
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>8418
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>6663
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>1199
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>356
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>458
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>5150
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>2214
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>4151