Overview

Dataset statistics

Number of variables33
Number of observations28
Missing cells126
Missing cells (%)13.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.2 KiB
Average record size in memory300.7 B

Variable types

Text1
Numeric32

Dataset

Description이 데이터는 고속열차 SRT에 대한 자료로, 연간 주별 평균 승차인원을 나타낸 자료입니다.해당 자료는 일반권을 기준으로 작성되었습니다.(정기/회수권 불포함)
Author(주)에스알
URLhttps://www.data.go.kr/data/15071943/fileData.do

Alerts

밀양 has 9 (32.1%) missing valuesMissing
진영 has 9 (32.1%) missing valuesMissing
창원중앙 has 9 (32.1%) missing valuesMissing
창원 has 9 (32.1%) missing valuesMissing
마산 has 9 (32.1%) missing valuesMissing
진주 has 9 (32.1%) missing valuesMissing
포항 has 9 (32.1%) missing valuesMissing
전주 has 9 (32.1%) missing valuesMissing
남원 has 9 (32.1%) missing valuesMissing
곡성 has 9 (32.1%) missing valuesMissing
구례구 has 9 (32.1%) missing valuesMissing
순천 has 9 (32.1%) missing valuesMissing
여천 has 9 (32.1%) missing valuesMissing
여수엑스포 has 9 (32.1%) missing valuesMissing
구분 has unique valuesUnique
수서 has unique valuesUnique
평택지제 has unique valuesUnique
동대구 has unique valuesUnique
울산 has unique valuesUnique
부산 has unique valuesUnique
광주송정 has unique valuesUnique

Reproduction

Analysis started2024-05-04 07:39:48.382456
Analysis finished2024-05-04 07:39:48.760117
Duration0.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-05-04T07:39:49.146447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters224
Distinct characters12
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

Unique28 ?
Unique (%)100.0%

Sample

1st row2023년26주
2nd row2023년27주
3rd row2023년28주
4th row2023년29주
5th row2023년30주
ValueCountFrequency (%)
2023년26주 1
 
3.6%
2023년27주 1
 
3.6%
2023년52주 1
 
3.6%
2023년51주 1
 
3.6%
2023년50주 1
 
3.6%
2023년49주 1
 
3.6%
2023년48주 1
 
3.6%
2023년47주 1
 
3.6%
2023년46주 1
 
3.6%
2023년45주 1
 
3.6%
Other values (18) 18
64.3%
2024-05-04T07:39:50.281666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 63
28.1%
3 41
18.3%
0 31
13.8%
28
12.5%
28
12.5%
4 12
 
5.4%
5 6
 
2.7%
6 3
 
1.3%
7 3
 
1.3%
8 3
 
1.3%
Other values (2) 6
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 168
75.0%
Other Letter 56
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 63
37.5%
3 41
24.4%
0 31
18.5%
4 12
 
7.1%
5 6
 
3.6%
6 3
 
1.8%
7 3
 
1.8%
8 3
 
1.8%
9 3
 
1.8%
1 3
 
1.8%
Other Letter
ValueCountFrequency (%)
28
50.0%
28
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 168
75.0%
Hangul 56
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 63
37.5%
3 41
24.4%
0 31
18.5%
4 12
 
7.1%
5 6
 
3.6%
6 3
 
1.8%
7 3
 
1.8%
8 3
 
1.8%
9 3
 
1.8%
1 3
 
1.8%
Hangul
ValueCountFrequency (%)
28
50.0%
28
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 168
75.0%
Hangul 56
 
25.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 63
37.5%
3 41
24.4%
0 31
18.5%
4 12
 
7.1%
5 6
 
3.6%
6 3
 
1.8%
7 3
 
1.8%
8 3
 
1.8%
9 3
 
1.8%
1 3
 
1.8%
Hangul
ValueCountFrequency (%)
28
50.0%
28
50.0%

수서
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22683.821
Minimum20441
Maximum24885
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-04T07:39:50.824133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20441
5-th percentile21068.35
Q122249.25
median22786
Q323283.75
95-th percentile23489.95
Maximum24885
Range4444
Interquartile range (IQR)1034.5

Descriptive statistics

Standard deviation886.25688
Coefficient of variation (CV)0.039069999
Kurtosis1.5472621
Mean22683.821
Median Absolute Deviation (MAD)528
Skewness-0.41604888
Sum635147
Variance785451.26
MonotonicityNot monotonic
2024-05-04T07:39:51.285628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
24885 1
 
3.6%
22979 1
 
3.6%
20844 1
 
3.6%
22667 1
 
3.6%
23325 1
 
3.6%
23240 1
 
3.6%
23023 1
 
3.6%
23103 1
 
3.6%
23328 1
 
3.6%
23462 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
20441 1
3.6%
20844 1
3.6%
21485 1
3.6%
21704 1
3.6%
22130 1
3.6%
22139 1
3.6%
22190 1
3.6%
22269 1
3.6%
22305 1
3.6%
22462 1
3.6%
ValueCountFrequency (%)
24885 1
3.6%
23505 1
3.6%
23462 1
3.6%
23415 1
3.6%
23394 1
3.6%
23328 1
3.6%
23325 1
3.6%
23270 1
3.6%
23240 1
3.6%
23103 1
3.6%

동탄
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5741.3929
Minimum5223
Maximum6168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-04T07:39:51.820786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5223
5-th percentile5349.1
Q15466.75
median5814.5
Q35942
95-th percentile6068.55
Maximum6168
Range945
Interquartile range (IQR)475.25

Descriptive statistics

Standard deviation264.53934
Coefficient of variation (CV)0.046075812
Kurtosis-1.1299574
Mean5741.3929
Median Absolute Deviation (MAD)208
Skewness-0.35458066
Sum160759
Variance69981.062
MonotonicityNot monotonic
2024-05-04T07:39:52.403338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
5942 2
 
7.1%
6168 1
 
3.6%
5410 1
 
3.6%
5223 1
 
3.6%
6035 1
 
3.6%
5896 1
 
3.6%
6012 1
 
3.6%
5938 1
 
3.6%
5944 1
 
3.6%
6078 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
5223 1
3.6%
5319 1
3.6%
5405 1
3.6%
5410 1
3.6%
5441 1
3.6%
5447 1
3.6%
5457 1
3.6%
5470 1
3.6%
5504 1
3.6%
5596 1
3.6%
ValueCountFrequency (%)
6168 1
3.6%
6078 1
3.6%
6051 1
3.6%
6035 1
3.6%
6012 1
3.6%
5944 1
3.6%
5942 2
7.1%
5938 1
3.6%
5899 1
3.6%
5896 1
3.6%

평택지제
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3551.2143
Minimum3164
Maximum4300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-04T07:39:52.934773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3164
5-th percentile3207.05
Q13374.75
median3531.5
Q33695.5
95-th percentile3932.8
Maximum4300
Range1136
Interquartile range (IQR)320.75

Descriptive statistics

Standard deviation257.24154
Coefficient of variation (CV)0.072437629
Kurtosis1.2309342
Mean3551.2143
Median Absolute Deviation (MAD)164.5
Skewness0.80386836
Sum99434
Variance66173.212
MonotonicityNot monotonic
2024-05-04T07:39:53.302381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
4300 1
 
3.6%
3516 1
 
3.6%
3396 1
 
3.6%
3986 1
 
3.6%
3834 1
 
3.6%
3775 1
 
3.6%
3756 1
 
3.6%
3666 1
 
3.6%
3760 1
 
3.6%
3695 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
3164 1
3.6%
3199 1
3.6%
3222 1
3.6%
3252 1
3.6%
3274 1
3.6%
3297 1
3.6%
3362 1
3.6%
3379 1
3.6%
3396 1
3.6%
3420 1
3.6%
ValueCountFrequency (%)
4300 1
3.6%
3986 1
3.6%
3834 1
3.6%
3775 1
3.6%
3760 1
3.6%
3756 1
3.6%
3697 1
3.6%
3695 1
3.6%
3676 1
3.6%
3666 1
3.6%

천안아산
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3339.1071
Minimum2694
Maximum3662
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-04T07:39:53.788218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2694
5-th percentile2918.95
Q13268.5
median3416.5
Q33489.25
95-th percentile3525.65
Maximum3662
Range968
Interquartile range (IQR)220.75

Descriptive statistics

Standard deviation215.20539
Coefficient of variation (CV)0.064449979
Kurtosis2.130879
Mean3339.1071
Median Absolute Deviation (MAD)109
Skewness-1.3830898
Sum93495
Variance46313.358
MonotonicityNot monotonic
2024-05-04T07:39:54.372246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
3507 2
 
7.1%
3662 1
 
3.6%
3276 1
 
3.6%
2694 1
 
3.6%
3156 1
 
3.6%
3472 1
 
3.6%
3480 1
 
3.6%
3525 1
 
3.6%
3476 1
 
3.6%
3490 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
2694 1
3.6%
2871 1
3.6%
3008 1
3.6%
3129 1
3.6%
3156 1
3.6%
3245 1
3.6%
3246 1
3.6%
3276 1
3.6%
3278 1
3.6%
3291 1
3.6%
ValueCountFrequency (%)
3662 1
3.6%
3526 1
3.6%
3525 1
3.6%
3517 1
3.6%
3507 2
7.1%
3490 1
3.6%
3489 1
3.6%
3480 1
3.6%
3476 1
3.6%
3472 1
3.6%

오송
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3287.4643
Minimum2303
Maximum3533
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-04T07:39:54.805812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2303
5-th percentile2830
Q13223.75
median3380
Q33451.75
95-th percentile3512.15
Maximum3533
Range1230
Interquartile range (IQR)228

Descriptive statistics

Standard deviation265.47937
Coefficient of variation (CV)0.080755058
Kurtosis6.3233661
Mean3287.4643
Median Absolute Deviation (MAD)93.5
Skewness-2.278522
Sum92049
Variance70479.295
MonotonicityNot monotonic
2024-05-04T07:39:55.440838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
3425 2
 
7.1%
3426 2
 
7.1%
3412 1
 
3.6%
3242 1
 
3.6%
2303 1
 
3.6%
3122 1
 
3.6%
3491 1
 
3.6%
3533 1
 
3.6%
3424 1
 
3.6%
3464 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
2303 1
3.6%
2802 1
3.6%
2882 1
3.6%
3121 1
3.6%
3122 1
3.6%
3129 1
3.6%
3169 1
3.6%
3242 1
3.6%
3270 1
3.6%
3281 1
3.6%
ValueCountFrequency (%)
3533 1
3.6%
3516 1
3.6%
3505 1
3.6%
3491 1
3.6%
3468 1
3.6%
3464 1
3.6%
3454 1
3.6%
3451 1
3.6%
3426 2
7.1%
3425 2
7.1%

대전
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4820.75
Minimum4172
Maximum6092
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-04T07:39:56.072588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4172
5-th percentile4410.15
Q14734.5
median4816
Q34885.5
95-th percentile4975.2
Maximum6092
Range1920
Interquartile range (IQR)151

Descriptive statistics

Standard deviation306.72736
Coefficient of variation (CV)0.063626482
Kurtosis11.5599
Mean4820.75
Median Absolute Deviation (MAD)78
Skewness2.2771893
Sum134981
Variance94081.676
MonotonicityNot monotonic
2024-05-04T07:39:56.665204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
4832 2
 
7.1%
4776 2
 
7.1%
6092 1
 
3.6%
4666 1
 
3.6%
4806 1
 
3.6%
4985 1
 
3.6%
4955 1
 
3.6%
4782 1
 
3.6%
4799 1
 
3.6%
4893 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
4172 1
3.6%
4330 1
3.6%
4559 1
3.6%
4647 1
3.6%
4666 1
3.6%
4722 1
3.6%
4727 1
3.6%
4737 1
3.6%
4776 2
7.1%
4782 1
3.6%
ValueCountFrequency (%)
6092 1
3.6%
4985 1
3.6%
4957 1
3.6%
4955 1
3.6%
4949 1
3.6%
4939 1
3.6%
4893 1
3.6%
4883 1
3.6%
4868 1
3.6%
4847 1
3.6%

김천구미
Real number (ℝ)

Distinct23
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean759.32143
Minimum708
Maximum892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-04T07:39:57.141858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum708
5-th percentile721.5
Q1744.75
median751.5
Q3766
95-th percentile815.25
Maximum892
Range184
Interquartile range (IQR)21.25

Descriptive statistics

Standard deviation35.10519
Coefficient of variation (CV)0.046232318
Kurtosis7.040236
Mean759.32143
Median Absolute Deviation (MAD)7.5
Skewness2.2137993
Sum21261
Variance1232.3743
MonotonicityNot monotonic
2024-05-04T07:39:57.694743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
750 3
 
10.7%
746 2
 
7.1%
744 2
 
7.1%
728 2
 
7.1%
745 1
 
3.6%
758 1
 
3.6%
747 1
 
3.6%
769 1
 
3.6%
737 1
 
3.6%
755 1
 
3.6%
Other values (13) 13
46.4%
ValueCountFrequency (%)
708 1
 
3.6%
718 1
 
3.6%
728 2
7.1%
737 1
 
3.6%
744 2
7.1%
745 1
 
3.6%
746 2
7.1%
747 1
 
3.6%
750 3
10.7%
753 1
 
3.6%
ValueCountFrequency (%)
892 1
3.6%
817 1
3.6%
812 1
3.6%
786 1
3.6%
775 1
3.6%
771 1
3.6%
769 1
3.6%
765 1
3.6%
758 1
3.6%
757 1
3.6%

서대구
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean385.28571
Minimum337
Maximum563
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-04T07:39:58.312105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum337
5-th percentile338.7
Q1348.75
median367.5
Q3398
95-th percentile493.3
Maximum563
Range226
Interquartile range (IQR)49.25

Descriptive statistics

Standard deviation54.600134
Coefficient of variation (CV)0.14171336
Kurtosis3.4844947
Mean385.28571
Median Absolute Deviation (MAD)22
Skewness1.8783355
Sum10788
Variance2981.1746
MonotonicityNot monotonic
2024-05-04T07:39:58.856185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
342 2
 
7.1%
375 2
 
7.1%
494 1
 
3.6%
492 1
 
3.6%
563 1
 
3.6%
447 1
 
3.6%
387 1
 
3.6%
356 1
 
3.6%
349 1
 
3.6%
358 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
337 1
3.6%
338 1
3.6%
340 1
3.6%
342 2
7.1%
343 1
3.6%
348 1
3.6%
349 1
3.6%
355 1
3.6%
356 1
3.6%
358 1
3.6%
ValueCountFrequency (%)
563 1
3.6%
494 1
3.6%
492 1
3.6%
447 1
3.6%
425 1
3.6%
406 1
3.6%
404 1
3.6%
396 1
3.6%
387 1
3.6%
381 1
3.6%

동대구
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7169.5
Minimum6741
Maximum9499
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-04T07:39:59.410322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6741
5-th percentile6786.6
Q16968.5
median7034.5
Q37230
95-th percentile7550.9
Maximum9499
Range2758
Interquartile range (IQR)261.5

Descriptive statistics

Standard deviation500.55151
Coefficient of variation (CV)0.069816795
Kurtosis18.445518
Mean7169.5
Median Absolute Deviation (MAD)146
Skewness3.9636426
Sum200746
Variance250551.81
MonotonicityNot monotonic
2024-05-04T07:39:59.981353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
9499 1
 
3.6%
6983 1
 
3.6%
7553 1
 
3.6%
7279 1
 
3.6%
6981 1
 
3.6%
6894 1
 
3.6%
6939 1
 
3.6%
7030 1
 
3.6%
7254 1
 
3.6%
7061 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
6741 1
3.6%
6746 1
3.6%
6862 1
3.6%
6877 1
3.6%
6894 1
3.6%
6939 1
3.6%
6949 1
3.6%
6975 1
3.6%
6981 1
3.6%
6983 1
3.6%
ValueCountFrequency (%)
9499 1
3.6%
7553 1
3.6%
7547 1
3.6%
7324 1
3.6%
7319 1
3.6%
7279 1
3.6%
7254 1
3.6%
7222 1
3.6%
7215 1
3.6%
7186 1
3.6%

신경주
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1368.8929
Minimum1136
Maximum1589
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-04T07:40:00.460737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1136
5-th percentile1160.8
Q11295.5
median1363
Q31457.25
95-th percentile1551.95
Maximum1589
Range453
Interquartile range (IQR)161.75

Descriptive statistics

Standard deviation131.38559
Coefficient of variation (CV)0.095979455
Kurtosis-0.89633697
Mean1368.8929
Median Absolute Deviation (MAD)99.5
Skewness-0.19629105
Sum38329
Variance17262.173
MonotonicityNot monotonic
2024-05-04T07:40:00.987121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1420 2
 
7.1%
1353 2
 
7.1%
1485 1
 
3.6%
1338 1
 
3.6%
1333 1
 
3.6%
1188 1
 
3.6%
1136 1
 
3.6%
1158 1
 
3.6%
1215 1
 
3.6%
1430 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
1136 1
3.6%
1158 1
3.6%
1166 1
3.6%
1188 1
3.6%
1193 1
3.6%
1215 1
3.6%
1249 1
3.6%
1311 1
3.6%
1333 1
3.6%
1338 1
3.6%
ValueCountFrequency (%)
1589 1
3.6%
1553 1
3.6%
1550 1
3.6%
1539 1
3.6%
1513 1
3.6%
1507 1
3.6%
1485 1
3.6%
1448 1
3.6%
1435 1
3.6%
1430 1
3.6%

울산
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2708.8571
Minimum2484
Maximum3133
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-04T07:40:01.371760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2484
5-th percentile2563.15
Q12632.5
median2670.5
Q32763
95-th percentile2937.95
Maximum3133
Range649
Interquartile range (IQR)130.5

Descriptive statistics

Standard deviation132.12052
Coefficient of variation (CV)0.048773527
Kurtosis3.0625899
Mean2708.8571
Median Absolute Deviation (MAD)57
Skewness1.3999947
Sum75848
Variance17455.831
MonotonicityNot monotonic
2024-05-04T07:40:01.946702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
3133 1
 
3.6%
2654 1
 
3.6%
2569 1
 
3.6%
2613 1
 
3.6%
2591 1
 
3.6%
2645 1
 
3.6%
2634 1
 
3.6%
2661 1
 
3.6%
2677 1
 
3.6%
2727 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
2484 1
3.6%
2560 1
3.6%
2569 1
3.6%
2591 1
3.6%
2613 1
3.6%
2624 1
3.6%
2628 1
3.6%
2634 1
3.6%
2645 1
3.6%
2653 1
3.6%
ValueCountFrequency (%)
3133 1
3.6%
2974 1
3.6%
2871 1
3.6%
2835 1
3.6%
2816 1
3.6%
2789 1
3.6%
2769 1
3.6%
2761 1
3.6%
2744 1
3.6%
2727 1
3.6%

부산
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8455.4643
Minimum7247
Maximum10292
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-04T07:40:02.420920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7247
5-th percentile7567.45
Q17995.75
median8331.5
Q38822.75
95-th percentile9828.2
Maximum10292
Range3045
Interquartile range (IQR)827

Descriptive statistics

Standard deviation713.52285
Coefficient of variation (CV)0.084386004
Kurtosis0.72892243
Mean8455.4643
Median Absolute Deviation (MAD)437
Skewness0.86095215
Sum236753
Variance509114.85
MonotonicityNot monotonic
2024-05-04T07:40:02.843129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
9894 1
 
3.6%
8454 1
 
3.6%
9344 1
 
3.6%
8900 1
 
3.6%
8123 1
 
3.6%
8014 1
 
3.6%
7806 1
 
3.6%
7683 1
 
3.6%
8293 1
 
3.6%
8449 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
7247 1
3.6%
7509 1
3.6%
7676 1
3.6%
7683 1
3.6%
7806 1
3.6%
7915 1
3.6%
7941 1
3.6%
8014 1
3.6%
8104 1
3.6%
8123 1
3.6%
ValueCountFrequency (%)
10292 1
3.6%
9894 1
3.6%
9706 1
3.6%
9344 1
3.6%
8915 1
3.6%
8900 1
3.6%
8855 1
3.6%
8812 1
3.6%
8789 1
3.6%
8486 1
3.6%

공주
Real number (ℝ)

Distinct22
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124
Minimum102
Maximum164
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-04T07:40:03.199102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum102
5-th percentile103.05
Q1108
median122
Q3138
95-th percentile147
Maximum164
Range62
Interquartile range (IQR)30

Descriptive statistics

Standard deviation17.230464
Coefficient of variation (CV)0.13895535
Kurtosis-0.81912894
Mean124
Median Absolute Deviation (MAD)14.5
Skewness0.46459468
Sum3472
Variance296.88889
MonotonicityNot monotonic
2024-05-04T07:40:03.649499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
106 2
 
7.1%
116 2
 
7.1%
108 2
 
7.1%
138 2
 
7.1%
102 2
 
7.1%
147 2
 
7.1%
130 1
 
3.6%
123 1
 
3.6%
125 1
 
3.6%
136 1
 
3.6%
Other values (12) 12
42.9%
ValueCountFrequency (%)
102 2
7.1%
105 1
3.6%
106 2
7.1%
107 1
3.6%
108 2
7.1%
109 1
3.6%
110 1
3.6%
113 1
3.6%
116 2
7.1%
121 1
3.6%
ValueCountFrequency (%)
164 1
3.6%
147 2
7.1%
145 1
3.6%
144 1
3.6%
143 1
3.6%
138 2
7.1%
136 1
3.6%
134 1
3.6%
130 1
3.6%
129 1
3.6%

익산
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2069.75
Minimum1828
Maximum2170
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-04T07:40:04.001291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1828
5-th percentile1980.2
Q12044.25
median2082
Q32111
95-th percentile2144.85
Maximum2170
Range342
Interquartile range (IQR)66.75

Descriptive statistics

Standard deviation68.311717
Coefficient of variation (CV)0.033004816
Kurtosis4.704338
Mean2069.75
Median Absolute Deviation (MAD)32.5
Skewness-1.7281298
Sum57953
Variance4666.4907
MonotonicityNot monotonic
2024-05-04T07:40:04.437134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
2082 2
 
7.1%
2114 1
 
3.6%
2065 1
 
3.6%
1828 1
 
3.6%
1988 1
 
3.6%
2069 1
 
3.6%
2045 1
 
3.6%
2063 1
 
3.6%
2110 1
 
3.6%
2071 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
1828 1
3.6%
1976 1
3.6%
1988 1
3.6%
1991 1
3.6%
2004 1
3.6%
2025 1
3.6%
2042 1
3.6%
2045 1
3.6%
2063 1
3.6%
2065 1
3.6%
ValueCountFrequency (%)
2170 1
3.6%
2148 1
3.6%
2139 1
3.6%
2127 1
3.6%
2126 1
3.6%
2115 1
3.6%
2114 1
3.6%
2110 1
3.6%
2107 1
3.6%
2105 1
3.6%

정읍
Real number (ℝ)

Distinct22
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean419.96429
Minimum373
Maximum523
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-04T07:40:04.866559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum373
5-th percentile380.5
Q1395
median408
Q3422
95-th percentile508.4
Maximum523
Range150
Interquartile range (IQR)27

Descriptive statistics

Standard deviation39.379899
Coefficient of variation (CV)0.093769638
Kurtosis1.6615363
Mean419.96429
Median Absolute Deviation (MAD)13
Skewness1.5527039
Sum11759
Variance1550.7765
MonotonicityNot monotonic
2024-05-04T07:40:05.310771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
415 3
 
10.7%
414 2
 
7.1%
408 2
 
7.1%
395 2
 
7.1%
442 2
 
7.1%
487 1
 
3.6%
392 1
 
3.6%
391 1
 
3.6%
404 1
 
3.6%
523 1
 
3.6%
Other values (12) 12
42.9%
ValueCountFrequency (%)
373 1
3.6%
377 1
3.6%
387 1
3.6%
391 1
3.6%
392 1
3.6%
394 1
3.6%
395 2
7.1%
400 1
3.6%
401 1
3.6%
402 1
3.6%
ValueCountFrequency (%)
523 1
 
3.6%
514 1
 
3.6%
498 1
 
3.6%
487 1
 
3.6%
442 2
7.1%
431 1
 
3.6%
419 1
 
3.6%
415 3
10.7%
414 2
7.1%
408 2
7.1%

광주송정
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4267.2143
Minimum3974
Maximum4795
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-04T07:40:05.894153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3974
5-th percentile4000.8
Q14155.75
median4278.5
Q34349.5
95-th percentile4568.1
Maximum4795
Range821
Interquartile range (IQR)193.75

Descriptive statistics

Standard deviation192.24104
Coefficient of variation (CV)0.045050713
Kurtosis0.87133957
Mean4267.2143
Median Absolute Deviation (MAD)108.5
Skewness0.60818743
Sum119482
Variance36956.619
MonotonicityNot monotonic
2024-05-04T07:40:06.372710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
4615 1
 
3.6%
4417 1
 
3.6%
4013 1
 
3.6%
4208 1
 
3.6%
4481 1
 
3.6%
4312 1
 
3.6%
4287 1
 
3.6%
4295 1
 
3.6%
4419 1
 
3.6%
4341 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
3974 1
3.6%
3998 1
3.6%
4006 1
3.6%
4013 1
3.6%
4026 1
3.6%
4044 1
3.6%
4149 1
3.6%
4158 1
3.6%
4183 1
3.6%
4208 1
3.6%
ValueCountFrequency (%)
4795 1
3.6%
4615 1
3.6%
4481 1
3.6%
4472 1
3.6%
4419 1
3.6%
4417 1
3.6%
4375 1
3.6%
4341 1
3.6%
4327 1
3.6%
4312 1
3.6%

나주
Real number (ℝ)

Distinct25
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean420.85714
Minimum257
Maximum460
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-04T07:40:06.849423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum257
5-th percentile322.6
Q1416.75
median436.5
Q3449.75
95-th percentile456.65
Maximum460
Range203
Interquartile range (IQR)33

Descriptive statistics

Standard deviation47.141013
Coefficient of variation (CV)0.11201191
Kurtosis5.4995513
Mean420.85714
Median Absolute Deviation (MAD)16
Skewness-2.2842387
Sum11784
Variance2222.2751
MonotonicityNot monotonic
2024-05-04T07:40:07.270669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
452 2
 
7.1%
456 2
 
7.1%
449 2
 
7.1%
359 1
 
3.6%
454 1
 
3.6%
303 1
 
3.6%
420 1
 
3.6%
442 1
 
3.6%
457 1
 
3.6%
435 1
 
3.6%
Other values (15) 15
53.6%
ValueCountFrequency (%)
257 1
3.6%
303 1
3.6%
359 1
3.6%
374 1
3.6%
399 1
3.6%
409 1
3.6%
413 1
3.6%
418 1
3.6%
420 1
3.6%
421 1
3.6%
ValueCountFrequency (%)
460 1
3.6%
457 1
3.6%
456 2
7.1%
454 1
3.6%
452 2
7.1%
449 2
7.1%
447 1
3.6%
443 1
3.6%
442 1
3.6%
439 1
3.6%

목포
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean882.96429
Minimum526
Maximum1087
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-04T07:40:07.948912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum526
5-th percentile785.75
Q1839.5
median880.5
Q3922.5
95-th percentile1045.2
Maximum1087
Range561
Interquartile range (IQR)83

Descriptive statistics

Standard deviation103.99269
Coefficient of variation (CV)0.11777678
Kurtosis4.498348
Mean882.96429
Median Absolute Deviation (MAD)44.5
Skewness-1.0326747
Sum24723
Variance10814.48
MonotonicityNot monotonic
2024-05-04T07:40:08.517108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
910 2
 
7.1%
920 2
 
7.1%
1087 1
 
3.6%
930 1
 
3.6%
853 1
 
3.6%
850 1
 
3.6%
844 1
 
3.6%
871 1
 
3.6%
852 1
 
3.6%
890 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
526 1
3.6%
777 1
3.6%
802 1
3.6%
811 1
3.6%
812 1
3.6%
824 1
3.6%
826 1
3.6%
844 1
3.6%
847 1
3.6%
850 1
3.6%
ValueCountFrequency (%)
1087 1
3.6%
1069 1
3.6%
1001 1
3.6%
992 1
3.6%
974 1
3.6%
964 1
3.6%
930 1
3.6%
920 2
7.1%
910 2
7.1%
900 1
3.6%

밀양
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)73.7%
Missing9
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean53
Minimum44
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-04T07:40:09.052080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44
5-th percentile44
Q148.5
median54
Q356
95-th percentile63.3
Maximum66
Range22
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation6.3770422
Coefficient of variation (CV)0.12032155
Kurtosis-0.49125196
Mean53
Median Absolute Deviation (MAD)5
Skewness0.3964922
Sum1007
Variance40.666667
MonotonicityNot monotonic
2024-05-04T07:40:09.620270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
44 2
 
7.1%
55 2
 
7.1%
54 2
 
7.1%
56 2
 
7.1%
49 2
 
7.1%
45 1
 
3.6%
47 1
 
3.6%
63 1
 
3.6%
50 1
 
3.6%
48 1
 
3.6%
Other values (4) 4
14.3%
(Missing) 9
32.1%
ValueCountFrequency (%)
44 2
7.1%
45 1
3.6%
47 1
3.6%
48 1
3.6%
49 2
7.1%
50 1
3.6%
52 1
3.6%
54 2
7.1%
55 2
7.1%
56 2
7.1%
ValueCountFrequency (%)
66 1
3.6%
63 1
3.6%
62 1
3.6%
58 1
3.6%
56 2
7.1%
55 2
7.1%
54 2
7.1%
52 1
3.6%
50 1
3.6%
49 2
7.1%

진영
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)68.4%
Missing9
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean68.052632
Minimum52
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-04T07:40:10.035089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52
5-th percentile57.4
Q164
median68
Q370.5
95-th percentile83.7
Maximum90
Range38
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation8.5275611
Coefficient of variation (CV)0.12530832
Kurtosis1.8338494
Mean68.052632
Median Absolute Deviation (MAD)4
Skewness0.81928346
Sum1293
Variance72.719298
MonotonicityNot monotonic
2024-05-04T07:40:10.415855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
66 3
 
10.7%
68 2
 
7.1%
69 2
 
7.1%
64 2
 
7.1%
74 2
 
7.1%
60 1
 
3.6%
52 1
 
3.6%
58 1
 
3.6%
61 1
 
3.6%
83 1
 
3.6%
Other values (3) 3
 
10.7%
(Missing) 9
32.1%
ValueCountFrequency (%)
52 1
 
3.6%
58 1
 
3.6%
60 1
 
3.6%
61 1
 
3.6%
64 2
7.1%
66 3
10.7%
68 2
7.1%
69 2
7.1%
70 1
 
3.6%
71 1
 
3.6%
ValueCountFrequency (%)
90 1
 
3.6%
83 1
 
3.6%
74 2
7.1%
71 1
 
3.6%
70 1
 
3.6%
69 2
7.1%
68 2
7.1%
66 3
10.7%
64 2
7.1%
61 1
 
3.6%

창원중앙
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)84.2%
Missing9
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean245.84211
Minimum205
Maximum268
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-04T07:40:10.823995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205
5-th percentile220.3
Q1241
median248
Q3256
95-th percentile265.3
Maximum268
Range63
Interquartile range (IQR)15

Descriptive statistics

Standard deviation15.155722
Coefficient of variation (CV)0.061648194
Kurtosis1.7854096
Mean245.84211
Median Absolute Deviation (MAD)8
Skewness-1.1413466
Sum4671
Variance229.69591
MonotonicityNot monotonic
2024-05-04T07:40:11.334370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
256 3
 
10.7%
241 2
 
7.1%
245 1
 
3.6%
235 1
 
3.6%
205 1
 
3.6%
259 1
 
3.6%
268 1
 
3.6%
222 1
 
3.6%
229 1
 
3.6%
253 1
 
3.6%
Other values (6) 6
21.4%
(Missing) 9
32.1%
ValueCountFrequency (%)
205 1
3.6%
222 1
3.6%
229 1
3.6%
235 1
3.6%
241 2
7.1%
244 1
3.6%
245 1
3.6%
247 1
3.6%
248 1
3.6%
249 1
3.6%
ValueCountFrequency (%)
268 1
 
3.6%
265 1
 
3.6%
259 1
 
3.6%
256 3
10.7%
253 1
 
3.6%
252 1
 
3.6%
249 1
 
3.6%
248 1
 
3.6%
247 1
 
3.6%
245 1
 
3.6%

창원
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)63.2%
Missing9
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean76.052632
Minimum67
Maximum94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-04T07:40:11.731220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum67
5-th percentile68.8
Q172.5
median74
Q377
95-th percentile86.8
Maximum94
Range27
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation6.3811675
Coefficient of variation (CV)0.083904624
Kurtosis2.4090229
Mean76.052632
Median Absolute Deviation (MAD)2
Skewness1.3991961
Sum1445
Variance40.719298
MonotonicityNot monotonic
2024-05-04T07:40:12.121336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
73 3
 
10.7%
76 3
 
10.7%
72 2
 
7.1%
77 2
 
7.1%
74 2
 
7.1%
83 1
 
3.6%
67 1
 
3.6%
86 1
 
3.6%
71 1
 
3.6%
69 1
 
3.6%
Other values (2) 2
 
7.1%
(Missing) 9
32.1%
ValueCountFrequency (%)
67 1
 
3.6%
69 1
 
3.6%
71 1
 
3.6%
72 2
7.1%
73 3
10.7%
74 2
7.1%
76 3
10.7%
77 2
7.1%
82 1
 
3.6%
83 1
 
3.6%
ValueCountFrequency (%)
94 1
 
3.6%
86 1
 
3.6%
83 1
 
3.6%
82 1
 
3.6%
77 2
7.1%
76 3
10.7%
74 2
7.1%
73 3
10.7%
72 2
7.1%
71 1
 
3.6%

마산
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)84.2%
Missing9
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean111.05263
Minimum95
Maximum134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-04T07:40:12.548377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95
5-th percentile97.7
Q1102
median108
Q3120
95-th percentile131.3
Maximum134
Range39
Interquartile range (IQR)18

Descriptive statistics

Standard deviation11.806183
Coefficient of variation (CV)0.1063116
Kurtosis-0.73161248
Mean111.05263
Median Absolute Deviation (MAD)8
Skewness0.66923715
Sum2110
Variance139.38596
MonotonicityNot monotonic
2024-05-04T07:40:12.969748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
106 2
 
7.1%
100 2
 
7.1%
110 2
 
7.1%
124 1
 
3.6%
108 1
 
3.6%
98 1
 
3.6%
101 1
 
3.6%
104 1
 
3.6%
95 1
 
3.6%
134 1
 
3.6%
Other values (6) 6
21.4%
(Missing) 9
32.1%
ValueCountFrequency (%)
95 1
3.6%
98 1
3.6%
100 2
7.1%
101 1
3.6%
103 1
3.6%
104 1
3.6%
106 2
7.1%
108 1
3.6%
110 2
7.1%
112 1
3.6%
ValueCountFrequency (%)
134 1
3.6%
131 1
3.6%
128 1
3.6%
124 1
3.6%
123 1
3.6%
117 1
3.6%
112 1
3.6%
110 2
7.1%
108 1
3.6%
106 2
7.1%

진주
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)94.7%
Missing9
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean132.94737
Minimum107
Maximum166
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-04T07:40:13.360421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum107
5-th percentile114.2
Q1121.5
median131
Q3143
95-th percentile161.5
Maximum166
Range59
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation15.457733
Coefficient of variation (CV)0.11626957
Kurtosis-0.047538145
Mean132.94737
Median Absolute Deviation (MAD)11
Skewness0.54568823
Sum2526
Variance238.94152
MonotonicityNot monotonic
2024-05-04T07:40:13.876276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
131 2
 
7.1%
126 1
 
3.6%
135 1
 
3.6%
127 1
 
3.6%
115 1
 
3.6%
107 1
 
3.6%
120 1
 
3.6%
117 1
 
3.6%
122 1
 
3.6%
161 1
 
3.6%
Other values (8) 8
28.6%
(Missing) 9
32.1%
ValueCountFrequency (%)
107 1
3.6%
115 1
3.6%
117 1
3.6%
120 1
3.6%
121 1
3.6%
122 1
3.6%
126 1
3.6%
127 1
3.6%
128 1
3.6%
131 2
7.1%
ValueCountFrequency (%)
166 1
3.6%
161 1
3.6%
147 1
3.6%
146 1
3.6%
144 1
3.6%
142 1
3.6%
140 1
3.6%
135 1
3.6%
131 2
7.1%
128 1
3.6%

포항
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)78.9%
Missing9
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean336.52632
Minimum300
Maximum418
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-04T07:40:14.276136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum300
5-th percentile300
Q1313
median328
Q3353.5
95-th percentile386.5
Maximum418
Range118
Interquartile range (IQR)40.5

Descriptive statistics

Standard deviation31.209629
Coefficient of variation (CV)0.09274053
Kurtosis1.0368491
Mean336.52632
Median Absolute Deviation (MAD)21
Skewness0.98094067
Sum6394
Variance974.04094
MonotonicityNot monotonic
2024-05-04T07:40:14.712479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
349 2
 
7.1%
300 2
 
7.1%
328 2
 
7.1%
313 2
 
7.1%
317 1
 
3.6%
358 1
 
3.6%
383 1
 
3.6%
342 1
 
3.6%
362 1
 
3.6%
321 1
 
3.6%
Other values (5) 5
17.9%
(Missing) 9
32.1%
ValueCountFrequency (%)
300 2
7.1%
303 1
3.6%
305 1
3.6%
313 2
7.1%
317 1
3.6%
321 1
3.6%
328 2
7.1%
342 1
3.6%
345 1
3.6%
349 2
7.1%
ValueCountFrequency (%)
418 1
3.6%
383 1
3.6%
362 1
3.6%
360 1
3.6%
358 1
3.6%
349 2
7.1%
345 1
3.6%
342 1
3.6%
328 2
7.1%
321 1
3.6%

전주
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)73.7%
Missing9
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean218
Minimum175
Maximum244
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-04T07:40:15.197233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum175
5-th percentile196.6
Q1212.5
median218
Q3224
95-th percentile238.6
Maximum244
Range69
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation15.32971
Coefficient of variation (CV)0.070319769
Kurtosis2.5883454
Mean218
Median Absolute Deviation (MAD)7
Skewness-0.91077191
Sum4142
Variance235
MonotonicityNot monotonic
2024-05-04T07:40:15.800429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
218 2
 
7.1%
219 2
 
7.1%
208 2
 
7.1%
216 2
 
7.1%
238 2
 
7.1%
175 1
 
3.6%
221 1
 
3.6%
209 1
 
3.6%
199 1
 
3.6%
231 1
 
3.6%
Other values (4) 4
14.3%
(Missing) 9
32.1%
ValueCountFrequency (%)
175 1
3.6%
199 1
3.6%
208 2
7.1%
209 1
3.6%
216 2
7.1%
217 1
3.6%
218 2
7.1%
219 2
7.1%
221 1
3.6%
223 1
3.6%
ValueCountFrequency (%)
244 1
3.6%
238 2
7.1%
231 1
3.6%
225 1
3.6%
223 1
3.6%
221 1
3.6%
219 2
7.1%
218 2
7.1%
217 1
3.6%
216 2
7.1%

남원
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)52.6%
Missing9
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean41.315789
Minimum33
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-04T07:40:16.130393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile35.7
Q138.5
median40
Q345
95-th percentile49
Maximum49
Range16
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation4.7146654
Coefficient of variation (CV)0.11411292
Kurtosis-0.73709966
Mean41.315789
Median Absolute Deviation (MAD)3
Skewness0.33674324
Sum785
Variance22.22807
MonotonicityNot monotonic
2024-05-04T07:40:16.506074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
39 4
14.3%
49 3
 
10.7%
36 2
 
7.1%
45 2
 
7.1%
41 2
 
7.1%
38 2
 
7.1%
33 1
 
3.6%
40 1
 
3.6%
43 1
 
3.6%
46 1
 
3.6%
(Missing) 9
32.1%
ValueCountFrequency (%)
33 1
 
3.6%
36 2
7.1%
38 2
7.1%
39 4
14.3%
40 1
 
3.6%
41 2
7.1%
43 1
 
3.6%
45 2
7.1%
46 1
 
3.6%
49 3
10.7%
ValueCountFrequency (%)
49 3
10.7%
46 1
 
3.6%
45 2
7.1%
43 1
 
3.6%
41 2
7.1%
40 1
 
3.6%
39 4
14.3%
38 2
7.1%
36 2
7.1%
33 1
 
3.6%

곡성
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)36.8%
Missing9
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean11.315789
Minimum8
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-04T07:40:16.858336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile8
Q110.5
median11
Q312.5
95-th percentile14
Maximum14
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8871681
Coefficient of variation (CV)0.166773
Kurtosis-0.66669902
Mean11.315789
Median Absolute Deviation (MAD)1
Skewness-0.28943817
Sum215
Variance3.5614035
MonotonicityNot monotonic
2024-05-04T07:40:17.268935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
11 5
17.9%
12 4
14.3%
14 3
 
10.7%
8 2
 
7.1%
13 2
 
7.1%
9 2
 
7.1%
10 1
 
3.6%
(Missing) 9
32.1%
ValueCountFrequency (%)
8 2
 
7.1%
9 2
 
7.1%
10 1
 
3.6%
11 5
17.9%
12 4
14.3%
13 2
 
7.1%
14 3
10.7%
ValueCountFrequency (%)
14 3
10.7%
13 2
 
7.1%
12 4
14.3%
11 5
17.9%
10 1
 
3.6%
9 2
 
7.1%
8 2
 
7.1%

구례구
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)52.6%
Missing9
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean15.315789
Minimum9
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-04T07:40:17.620579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile10.8
Q113.5
median15
Q317
95-th percentile21
Maximum21
Range12
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation3.0560074
Coefficient of variation (CV)0.19953313
Kurtosis0.24839141
Mean15.315789
Median Absolute Deviation (MAD)2
Skewness0.017717771
Sum291
Variance9.3391813
MonotonicityNot monotonic
2024-05-04T07:40:18.146118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
17 4
14.3%
15 3
 
10.7%
14 2
 
7.1%
13 2
 
7.1%
21 2
 
7.1%
16 2
 
7.1%
9 1
 
3.6%
11 1
 
3.6%
18 1
 
3.6%
12 1
 
3.6%
(Missing) 9
32.1%
ValueCountFrequency (%)
9 1
 
3.6%
11 1
 
3.6%
12 1
 
3.6%
13 2
7.1%
14 2
7.1%
15 3
10.7%
16 2
7.1%
17 4
14.3%
18 1
 
3.6%
21 2
7.1%
ValueCountFrequency (%)
21 2
7.1%
18 1
 
3.6%
17 4
14.3%
16 2
7.1%
15 3
10.7%
14 2
7.1%
13 2
7.1%
12 1
 
3.6%
11 1
 
3.6%
9 1
 
3.6%

순천
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)94.7%
Missing9
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean176.68421
Minimum149
Maximum232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-04T07:40:18.580963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum149
5-th percentile158
Q1165
median176
Q3186.5
95-th percentile194.2
Maximum232
Range83
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation17.767175
Coefficient of variation (CV)0.10055893
Kurtosis4.4626512
Mean176.68421
Median Absolute Deviation (MAD)11
Skewness1.5198771
Sum3357
Variance315.67251
MonotonicityNot monotonic
2024-05-04T07:40:18.949774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
187 2
 
7.1%
189 1
 
3.6%
180 1
 
3.6%
170 1
 
3.6%
167 1
 
3.6%
163 1
 
3.6%
178 1
 
3.6%
179 1
 
3.6%
171 1
 
3.6%
159 1
 
3.6%
Other values (8) 8
28.6%
(Missing) 9
32.1%
ValueCountFrequency (%)
149 1
3.6%
159 1
3.6%
160 1
3.6%
161 1
3.6%
163 1
3.6%
167 1
3.6%
170 1
3.6%
171 1
3.6%
173 1
3.6%
176 1
3.6%
ValueCountFrequency (%)
232 1
3.6%
190 1
3.6%
189 1
3.6%
187 2
7.1%
186 1
3.6%
180 1
3.6%
179 1
3.6%
178 1
3.6%
176 1
3.6%
173 1
3.6%

여천
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)78.9%
Missing9
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean73
Minimum62
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-04T07:40:19.299797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum62
5-th percentile63.8
Q169
median72
Q375
95-th percentile86.6
Maximum92
Range30
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.2033943
Coefficient of variation (CV)0.098676634
Kurtosis1.8199854
Mean73
Median Absolute Deviation (MAD)3
Skewness1.102369
Sum1387
Variance51.888889
MonotonicityNot monotonic
2024-05-04T07:40:19.673390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
72 2
 
7.1%
75 2
 
7.1%
74 2
 
7.1%
70 2
 
7.1%
92 1
 
3.6%
68 1
 
3.6%
80 1
 
3.6%
67 1
 
3.6%
62 1
 
3.6%
76 1
 
3.6%
Other values (5) 5
17.9%
(Missing) 9
32.1%
ValueCountFrequency (%)
62 1
3.6%
64 1
3.6%
66 1
3.6%
67 1
3.6%
68 1
3.6%
70 2
7.1%
71 1
3.6%
72 2
7.1%
73 1
3.6%
74 2
7.1%
ValueCountFrequency (%)
92 1
3.6%
86 1
3.6%
80 1
3.6%
76 1
3.6%
75 2
7.1%
74 2
7.1%
73 1
3.6%
72 2
7.1%
71 1
3.6%
70 2
7.1%

여수엑스포
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)89.5%
Missing9
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean131.73684
Minimum101
Maximum168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-04T07:40:20.021090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile109.1
Q1119.5
median128
Q3139.5
95-th percentile165.3
Maximum168
Range67
Interquartile range (IQR)20

Descriptive statistics

Standard deviation18.537776
Coefficient of variation (CV)0.14071823
Kurtosis-0.16355862
Mean131.73684
Median Absolute Deviation (MAD)9
Skewness0.65042697
Sum2503
Variance343.64912
MonotonicityNot monotonic
2024-05-04T07:40:20.398812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
120 2
 
7.1%
126 2
 
7.1%
110 1
 
3.6%
143 1
 
3.6%
168 1
 
3.6%
131 1
 
3.6%
117 1
 
3.6%
132 1
 
3.6%
128 1
 
3.6%
162 1
 
3.6%
Other values (7) 7
25.0%
(Missing) 9
32.1%
ValueCountFrequency (%)
101 1
3.6%
110 1
3.6%
116 1
3.6%
117 1
3.6%
119 1
3.6%
120 2
7.1%
126 2
7.1%
128 1
3.6%
131 1
3.6%
132 1
3.6%
ValueCountFrequency (%)
168 1
3.6%
165 1
3.6%
162 1
3.6%
149 1
3.6%
143 1
3.6%
136 1
3.6%
134 1
3.6%
132 1
3.6%
131 1
3.6%
128 1
3.6%

Sample

구분수서동탄평택지제천안아산오송대전김천구미서대구동대구신경주울산부산공주익산정읍광주송정나주목포밀양진영창원중앙창원마산진주포항전주남원곡성구례구순천여천여수엑스포
02023년26주2488561684300366234126092745494949914853133989410621144314615359777<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12023년27주2219054103222327633204737754355699113832674818910220043733998413811<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
22023년28주2213954053252332533074832757366703913732711837010620253774006421824<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
32023년29주2148554573379329131294957892369722213532789878911019764004183257526<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
42023년30주2230557793362329933334727786396718614352769885510520824034149409900<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
52023년31주225805899348532453270464777542572151589287110292113212741542604521069<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
62023년32주2170453193164312931214559753363674613522560845010819914014026374812<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
72023년33주22130547032743246316948837714047319155328359706107210540842384561001<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
82023년34주2249154473199327832814949744376732415132761881210221004024044399869<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
92023년35주224625441329734233426477675034269861339266784861092073395415843884744602478395161349218338915992128
구분수서동탄평택지제천안아산오송대전김천구미서대구동대구신경주울산부산공주익산정읍광주송정나주목포밀양진영창원중앙창원마산진주포항전주남원곡성구례구순천여천여수엑스포
182023년44주233945877365034893451486876538171751539274479411452115514429743996456662297613414236220839121517670149
192023년45주232705942369734903468484074434069751420265382601472098523432746089052692537110612632123138121718972126
202023년46주234625942369535073425482675536170611430272784491292071414434144385249642527210412231322539111617176132
212023년47주23328607837603507346448937503587254135326778293136208240444194498714970244761061313132163991717975120
222023년48주23103594436663476342447997373757030121526617683138211040842954358446269248691001173032173891617864117
232023년49주230235938375635253425478274634969391158263478061252063395428744985055742497310112030021845111316366131
242023년50주23240601237753480353349557503566894113626458014116204539143124578535864256769810730522349121516771120
252023년51주233255896383434723491498576938769811188259181231232069392448144292054682567410811534523841111418774126
262023년52주226676035398631563122477674744772791333261389001161988415420842093056742418211012736023839132117073168
272023년53주208445223339626942303480672856375531338256993441081828442401330392066902659412413541824449141218086143