Overview

Dataset statistics

Number of variables28
Number of observations2376
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory577.9 KiB
Average record size in memory249.1 B

Variable types

Text1
Categorical2
Numeric25

Dataset

Description경기도 수원시의 생활이동인구 데이터로 관외에서 관내로 유입된 데이터로 성별, 연령별, 시간대별 데이터를 포함합니다.
Author경기도 수원시
URLhttps://www.data.go.kr/data/15096344/fileData.do

Alerts

데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2023-12-12 07:54:44.377468
Analysis finished2023-12-12 07:54:44.956065
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct54
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size18.7 KiB
2023-12-12T16:54:45.136371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length4.5740741
Min length3

Characters and Unicode

Total characters10868
Distinct characters70
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

Unique0 ?
Unique (%)0.0%

Sample

1st row가평군
2nd row가평군
3rd row가평군
4th row가평군
5th row가평군
ValueCountFrequency (%)
고양시 132
 
4.5%
성남시 132
 
4.5%
용인시 132
 
4.5%
안양시 88
 
3.0%
안산시 88
 
3.0%
가평군 44
 
1.5%
처인구 44
 
1.5%
동안구 44
 
1.5%
만안구 44
 
1.5%
양주시 44
 
1.5%
Other values (49) 2156
73.1%
2023-12-12T16:54:45.557373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1936
 
17.8%
660
 
6.1%
572
 
5.3%
396
 
3.6%
396
 
3.6%
352
 
3.2%
352
 
3.2%
308
 
2.8%
308
 
2.8%
308
 
2.8%
Other values (60) 5280
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10296
94.7%
Space Separator 572
 
5.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1936
 
18.8%
660
 
6.4%
396
 
3.8%
396
 
3.8%
352
 
3.4%
352
 
3.4%
308
 
3.0%
308
 
3.0%
308
 
3.0%
308
 
3.0%
Other values (59) 4972
48.3%
Space Separator
ValueCountFrequency (%)
572
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10296
94.7%
Common 572
 
5.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1936
 
18.8%
660
 
6.4%
396
 
3.8%
396
 
3.8%
352
 
3.4%
352
 
3.4%
308
 
3.0%
308
 
3.0%
308
 
3.0%
308
 
3.0%
Other values (59) 4972
48.3%
Common
ValueCountFrequency (%)
572
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10296
94.7%
ASCII 572
 
5.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1936
 
18.8%
660
 
6.4%
396
 
3.8%
396
 
3.8%
352
 
3.4%
352
 
3.4%
308
 
3.0%
308
 
3.0%
308
 
3.0%
308
 
3.0%
Other values (59) 4972
48.3%
ASCII
ValueCountFrequency (%)
572
100.0%
Distinct44
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size18.7 KiB
고등동
 
54
곡선동
 
54
매교동
 
54
광교1동
 
54
광교2동
 
54
Other values (39)
2106 

Length

Max length4
Median length4
Mean length3.5454545
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row고등동
2nd row곡선동
3rd row광교1동
4th row광교2동
5th row구운동

Common Values

ValueCountFrequency (%)
고등동 54
 
2.3%
곡선동 54
 
2.3%
매교동 54
 
2.3%
광교1동 54
 
2.3%
광교2동 54
 
2.3%
구운동 54
 
2.3%
권선1동 54
 
2.3%
권선2동 54
 
2.3%
금곡동 54
 
2.3%
망포1동 54
 
2.3%
Other values (34) 1836
77.3%

Length

2023-12-12T16:54:45.748793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고등동 54
 
2.3%
곡선동 54
 
2.3%
정자1동 54
 
2.3%
영통3동 54
 
2.3%
영화동 54
 
2.3%
우만1동 54
 
2.3%
우만2동 54
 
2.3%
원천동 54
 
2.3%
율천동 54
 
2.3%
인계동 54
 
2.3%
Other values (34) 1836
77.3%
Distinct1956
Distinct (%)82.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.845926
Minimum0.03
Maximum7587.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T16:54:45.910905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.03
5-th percentile1.08
Q16.3825
median17.88
Q345.7
95-th percentile196.86
Maximum7587.96
Range7587.93
Interquartile range (IQR)39.3175

Descriptive statistics

Standard deviation322.13321
Coefficient of variation (CV)4.6120544
Kurtosis272.24859
Mean69.845926
Median Absolute Deviation (MAD)14.145
Skewness14.762034
Sum165953.92
Variance103769.81
MonotonicityNot monotonic
2023-12-12T16:54:46.050397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.06 5
 
0.2%
0.42 5
 
0.2%
1.37 5
 
0.2%
0.88 4
 
0.2%
5.84 4
 
0.2%
0.47 4
 
0.2%
2.94 4
 
0.2%
7.7 4
 
0.2%
1.71 4
 
0.2%
0.76 4
 
0.2%
Other values (1946) 2333
98.2%
ValueCountFrequency (%)
0.03 1
< 0.1%
0.1 1
< 0.1%
0.12 1
< 0.1%
0.15 2
0.1%
0.16 1
< 0.1%
0.18 1
< 0.1%
0.21 1
< 0.1%
0.22 1
< 0.1%
0.24 1
< 0.1%
0.26 1
< 0.1%
ValueCountFrequency (%)
7587.96 1
< 0.1%
7027.94 1
< 0.1%
4740.05 1
< 0.1%
4357.02 1
< 0.1%
3914.39 1
< 0.1%
3286.96 1
< 0.1%
3277.89 1
< 0.1%
3209.86 1
< 0.1%
2538.69 1
< 0.1%
2480.62 1
< 0.1%
Distinct2307
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean426.87444
Minimum2.69
Maximum19641.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T16:54:46.200595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.69
5-th percentile15.485
Q150.485
median120.725
Q3313.4575
95-th percentile1412.2675
Maximum19641.06
Range19638.37
Interquartile range (IQR)262.9725

Descriptive statistics

Standard deviation1285.646
Coefficient of variation (CV)3.0117661
Kurtosis80.882779
Mean426.87444
Median Absolute Deviation (MAD)88.215
Skewness8.0585456
Sum1014253.7
Variance1652885.5
MonotonicityNot monotonic
2023-12-12T16:54:46.439922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70.57 2
 
0.1%
245.47 2
 
0.1%
45.08 2
 
0.1%
28.2 2
 
0.1%
17.68 2
 
0.1%
26.73 2
 
0.1%
30.65 2
 
0.1%
46.66 2
 
0.1%
81.22 2
 
0.1%
28.73 2
 
0.1%
Other values (2297) 2356
99.2%
ValueCountFrequency (%)
2.69 1
< 0.1%
4.03 1
< 0.1%
4.13 1
< 0.1%
4.23 1
< 0.1%
4.41 1
< 0.1%
4.78 1
< 0.1%
5.18 1
< 0.1%
5.23 1
< 0.1%
5.45 1
< 0.1%
5.46 1
< 0.1%
ValueCountFrequency (%)
19641.06 1
< 0.1%
16999.35 1
< 0.1%
16366.72 1
< 0.1%
15024.0 1
< 0.1%
14406.62 1
< 0.1%
13962.18 1
< 0.1%
13133.21 1
< 0.1%
12979.78 1
< 0.1%
11123.85 1
< 0.1%
10900.61 1
< 0.1%
Distinct2311
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean492.38683
Minimum1.06
Maximum24292.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T16:54:46.714392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.06
5-th percentile17.7925
Q161.48
median144.77
Q3352.2775
95-th percentile1688.0225
Maximum24292.6
Range24291.54
Interquartile range (IQR)290.7975

Descriptive statistics

Standard deviation1520.2808
Coefficient of variation (CV)3.0875741
Kurtosis91.451245
Mean492.38683
Median Absolute Deviation (MAD)105.22
Skewness8.5462482
Sum1169911.1
Variance2311253.7
MonotonicityNot monotonic
2023-12-12T16:54:46.937070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
53.89 3
 
0.1%
20.0 2
 
0.1%
67.22 2
 
0.1%
207.2 2
 
0.1%
44.3 2
 
0.1%
85.75 2
 
0.1%
28.05 2
 
0.1%
24.94 2
 
0.1%
44.68 2
 
0.1%
237.55 2
 
0.1%
Other values (2301) 2355
99.1%
ValueCountFrequency (%)
1.06 1
< 0.1%
1.13 1
< 0.1%
1.98 1
< 0.1%
2.21 1
< 0.1%
2.99 1
< 0.1%
3.24 1
< 0.1%
3.26 1
< 0.1%
3.33 1
< 0.1%
3.63 1
< 0.1%
4.05 1
< 0.1%
ValueCountFrequency (%)
24292.6 1
< 0.1%
21988.62 1
< 0.1%
18860.1 1
< 0.1%
18481.05 1
< 0.1%
18335.28 1
< 0.1%
15659.39 1
< 0.1%
15473.64 1
< 0.1%
14111.93 1
< 0.1%
13857.09 1
< 0.1%
13704.94 1
< 0.1%
Distinct1969
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.077761
Minimum0.05
Maximum3180.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T16:54:47.127016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.05
5-th percentile1.0475
Q16.5775
median19.265
Q350.5375
95-th percentile217.1175
Maximum3180.91
Range3180.86
Interquartile range (IQR)43.96

Descriptive statistics

Standard deviation182.89146
Coefficient of variation (CV)2.9461671
Kurtosis110.37602
Mean62.077761
Median Absolute Deviation (MAD)15.525
Skewness9.0579831
Sum147496.76
Variance33449.286
MonotonicityNot monotonic
2023-12-12T16:54:47.347264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.29 6
 
0.3%
0.44 5
 
0.2%
1.16 5
 
0.2%
3.2 5
 
0.2%
1.58 5
 
0.2%
0.75 4
 
0.2%
0.88 4
 
0.2%
2.28 4
 
0.2%
8.3 4
 
0.2%
1.05 4
 
0.2%
Other values (1959) 2330
98.1%
ValueCountFrequency (%)
0.05 1
 
< 0.1%
0.07 1
 
< 0.1%
0.1 1
 
< 0.1%
0.13 1
 
< 0.1%
0.14 1
 
< 0.1%
0.15 2
0.1%
0.16 2
0.1%
0.18 1
 
< 0.1%
0.19 3
0.1%
0.2 1
 
< 0.1%
ValueCountFrequency (%)
3180.91 1
< 0.1%
3088.15 1
< 0.1%
2542.86 1
< 0.1%
2134.94 1
< 0.1%
1842.5 1
< 0.1%
1803.11 1
< 0.1%
1749.18 1
< 0.1%
1707.38 1
< 0.1%
1559.68 1
< 0.1%
1491.61 1
< 0.1%
Distinct2296
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean440.34145
Minimum0.47
Maximum25139.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T16:54:47.574718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.47
5-th percentile13.4
Q149.235
median122.12
Q3300.6425
95-th percentile1450.7125
Maximum25139.21
Range25138.74
Interquartile range (IQR)251.4075

Descriptive statistics

Standard deviation1464.6612
Coefficient of variation (CV)3.3261942
Kurtosis108.37716
Mean440.34145
Median Absolute Deviation (MAD)88.58
Skewness9.2418316
Sum1046251.3
Variance2145232.3
MonotonicityNot monotonic
2023-12-12T16:54:47.757080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40.19 3
 
0.1%
65.68 3
 
0.1%
3.36 3
 
0.1%
39.21 2
 
0.1%
63.51 2
 
0.1%
28.05 2
 
0.1%
129.24 2
 
0.1%
41.65 2
 
0.1%
64.71 2
 
0.1%
36.57 2
 
0.1%
Other values (2286) 2353
99.0%
ValueCountFrequency (%)
0.47 1
< 0.1%
1.1 1
< 0.1%
1.23 1
< 0.1%
1.39 1
< 0.1%
1.45 1
< 0.1%
1.78 1
< 0.1%
2.15 1
< 0.1%
2.24 1
< 0.1%
2.32 1
< 0.1%
2.93 1
< 0.1%
ValueCountFrequency (%)
25139.21 1
< 0.1%
23127.12 1
< 0.1%
18945.35 1
< 0.1%
18623.77 1
< 0.1%
16403.8 1
< 0.1%
15605.46 1
< 0.1%
15240.42 1
< 0.1%
13582.13 1
< 0.1%
13506.88 1
< 0.1%
12574.81 1
< 0.1%
Distinct2337
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean610.84356
Minimum5.35
Maximum28729.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T16:54:47.926941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.35
5-th percentile27.1875
Q180.1925
median190.655
Q3468.8175
95-th percentile2005.49
Maximum28729.73
Range28724.38
Interquartile range (IQR)388.625

Descriptive statistics

Standard deviation1804.5071
Coefficient of variation (CV)2.9541232
Kurtosis94.38645
Mean610.84356
Median Absolute Deviation (MAD)136.28
Skewness8.5740003
Sum1451364.3
Variance3256245.9
MonotonicityNot monotonic
2023-12-12T16:54:48.109881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30.22 2
 
0.1%
35.66 2
 
0.1%
90.53 2
 
0.1%
85.75 2
 
0.1%
65.74 2
 
0.1%
81.43 2
 
0.1%
125.93 2
 
0.1%
119.21 2
 
0.1%
88.75 2
 
0.1%
54.38 2
 
0.1%
Other values (2327) 2356
99.2%
ValueCountFrequency (%)
5.35 1
< 0.1%
6.16 1
< 0.1%
6.89 1
< 0.1%
7.0 1
< 0.1%
7.68 1
< 0.1%
8.22 1
< 0.1%
8.23 1
< 0.1%
8.4 1
< 0.1%
8.48 1
< 0.1%
8.57 1
< 0.1%
ValueCountFrequency (%)
28729.73 1
< 0.1%
25484.15 1
< 0.1%
25398.06 1
< 0.1%
25090.91 1
< 0.1%
21648.62 1
< 0.1%
16760.22 1
< 0.1%
16081.55 1
< 0.1%
15059.82 1
< 0.1%
14398.26 1
< 0.1%
14080.52 1
< 0.1%
Distinct2362
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1205.1494
Minimum4.64
Maximum51619
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T16:54:48.286239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.64
5-th percentile49.045
Q1162.01
median383.705
Q3966.0875
95-th percentile3937.4375
Maximum51619
Range51614.36
Interquartile range (IQR)804.0775

Descriptive statistics

Standard deviation3446.4221
Coefficient of variation (CV)2.8597467
Kurtosis81.096533
Mean1205.1494
Median Absolute Deviation (MAD)278.26
Skewness8.0639184
Sum2863435.1
Variance11877825
MonotonicityNot monotonic
2023-12-12T16:54:48.471612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
362.65 2
 
0.1%
318.89 2
 
0.1%
92.41 2
 
0.1%
109.12 2
 
0.1%
356.8 2
 
0.1%
105.64 2
 
0.1%
185.52 2
 
0.1%
219.99 2
 
0.1%
288.84 2
 
0.1%
364.9 2
 
0.1%
Other values (2352) 2356
99.2%
ValueCountFrequency (%)
4.64 1
< 0.1%
9.34 1
< 0.1%
10.0 1
< 0.1%
10.69 1
< 0.1%
10.92 1
< 0.1%
10.98 1
< 0.1%
12.85 1
< 0.1%
14.91 1
< 0.1%
14.96 1
< 0.1%
15.19 1
< 0.1%
ValueCountFrequency (%)
51619.0 1
< 0.1%
48778.62 1
< 0.1%
43334.39 1
< 0.1%
38328.18 1
< 0.1%
38149.11 1
< 0.1%
36934.33 1
< 0.1%
33627.68 1
< 0.1%
32981.37 1
< 0.1%
32933.74 1
< 0.1%
30835.47 1
< 0.1%
Distinct2351
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1020.7245
Minimum5.9
Maximum49050.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T16:54:48.637689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.9
5-th percentile31.56
Q1117.23
median300.62
Q3764.9225
95-th percentile3405.285
Maximum49050.88
Range49044.98
Interquartile range (IQR)647.6925

Descriptive statistics

Standard deviation3159.8439
Coefficient of variation (CV)3.0956874
Kurtosis88.758512
Mean1020.7245
Median Absolute Deviation (MAD)223.82
Skewness8.4552391
Sum2425241.3
Variance9984613.4
MonotonicityNot monotonic
2023-12-12T16:54:48.798367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31.13 3
 
0.1%
56.64 2
 
0.1%
274.1 2
 
0.1%
250.68 2
 
0.1%
92.01 2
 
0.1%
88.95 2
 
0.1%
837.28 2
 
0.1%
449.57 2
 
0.1%
151.12 2
 
0.1%
26.45 2
 
0.1%
Other values (2341) 2355
99.1%
ValueCountFrequency (%)
5.9 1
< 0.1%
6.15 1
< 0.1%
6.62 1
< 0.1%
7.34 1
< 0.1%
7.8 1
< 0.1%
7.89 1
< 0.1%
7.91 1
< 0.1%
8.65 1
< 0.1%
9.17 1
< 0.1%
9.26 1
< 0.1%
ValueCountFrequency (%)
49050.88 1
< 0.1%
45922.82 1
< 0.1%
40372.8 1
< 0.1%
37939.81 1
< 0.1%
34505.13 1
< 0.1%
33627.7 1
< 0.1%
32056.26 1
< 0.1%
30034.95 1
< 0.1%
28568.84 1
< 0.1%
28123.88 1
< 0.1%
Distinct2341
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean964.0627
Minimum4.51
Maximum45621.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T16:54:48.987328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.51
5-th percentile28.59
Q1112.0075
median278.66
Q3701.2675
95-th percentile3172.835
Maximum45621.25
Range45616.74
Interquartile range (IQR)589.26

Descriptive statistics

Standard deviation2986.3446
Coefficient of variation (CV)3.0976664
Kurtosis86.217315
Mean964.0627
Median Absolute Deviation (MAD)209.39
Skewness8.3465421
Sum2290613
Variance8918254.4
MonotonicityNot monotonic
2023-12-12T16:54:49.121046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.82 3
 
0.1%
57.5 3
 
0.1%
20.25 2
 
0.1%
28.14 2
 
0.1%
120.2 2
 
0.1%
112.51 2
 
0.1%
94.29 2
 
0.1%
435.61 2
 
0.1%
128.52 2
 
0.1%
69.09 2
 
0.1%
Other values (2331) 2354
99.1%
ValueCountFrequency (%)
4.51 1
< 0.1%
4.91 1
< 0.1%
5.38 1
< 0.1%
5.55 1
< 0.1%
6.29 1
< 0.1%
6.48 1
< 0.1%
6.8 1
< 0.1%
7.28 1
< 0.1%
7.79 1
< 0.1%
7.92 1
< 0.1%
ValueCountFrequency (%)
45621.25 1
< 0.1%
42066.09 1
< 0.1%
38368.54 1
< 0.1%
35698.24 1
< 0.1%
34465.15 1
< 0.1%
30749.18 1
< 0.1%
30462.12 1
< 0.1%
29366.04 1
< 0.1%
26985.0 1
< 0.1%
26901.59 1
< 0.1%
Distinct2339
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1022.5608
Minimum5.25
Maximum49230.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T16:54:49.269041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.25
5-th percentile31.3225
Q1116.8275
median292.45
Q3727.3575
95-th percentile3381.7375
Maximum49230.58
Range49225.33
Interquartile range (IQR)610.53

Descriptive statistics

Standard deviation3194.2425
Coefficient of variation (CV)3.1237679
Kurtosis86.227429
Mean1022.5608
Median Absolute Deviation (MAD)219.07
Skewness8.3542845
Sum2429604.3
Variance10203185
MonotonicityNot monotonic
2023-12-12T16:54:49.440087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64.83 3
 
0.1%
82.32 2
 
0.1%
79.9 2
 
0.1%
17.2 2
 
0.1%
59.8 2
 
0.1%
212.22 2
 
0.1%
204.44 2
 
0.1%
165.01 2
 
0.1%
235.57 2
 
0.1%
18.36 2
 
0.1%
Other values (2329) 2355
99.1%
ValueCountFrequency (%)
5.25 1
< 0.1%
5.87 1
< 0.1%
6.65 1
< 0.1%
6.75 1
< 0.1%
6.83 1
< 0.1%
7.38 1
< 0.1%
8.1 1
< 0.1%
8.18 1
< 0.1%
8.72 1
< 0.1%
9.39 1
< 0.1%
ValueCountFrequency (%)
49230.58 1
< 0.1%
42140.02 1
< 0.1%
41529.86 1
< 0.1%
40960.26 1
< 0.1%
36537.41 1
< 0.1%
33447.79 1
< 0.1%
31787.15 1
< 0.1%
30906.16 1
< 0.1%
30010.8 1
< 0.1%
27372.93 1
< 0.1%
Distinct2350
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1055.0574
Minimum5.44
Maximum50248.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T16:54:49.598123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.44
5-th percentile38.9375
Q1128.495
median312.59
Q3785.6175
95-th percentile3446.2875
Maximum50248.6
Range50243.16
Interquartile range (IQR)657.1225

Descriptive statistics

Standard deviation3188.3661
Coefficient of variation (CV)3.0219836
Kurtosis84.861314
Mean1055.0574
Median Absolute Deviation (MAD)229.805
Skewness8.2569737
Sum2506816.3
Variance10165678
MonotonicityNot monotonic
2023-12-12T16:54:49.765433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1934.26 2
 
0.1%
574.58 2
 
0.1%
56.33 2
 
0.1%
144.71 2
 
0.1%
80.69 2
 
0.1%
146.16 2
 
0.1%
163.64 2
 
0.1%
33.67 2
 
0.1%
276.2 2
 
0.1%
312.4 2
 
0.1%
Other values (2340) 2356
99.2%
ValueCountFrequency (%)
5.44 1
< 0.1%
6.82 1
< 0.1%
7.28 1
< 0.1%
8.77 1
< 0.1%
8.79 1
< 0.1%
9.04 1
< 0.1%
10.08 1
< 0.1%
10.24 1
< 0.1%
10.58 1
< 0.1%
10.72 1
< 0.1%
ValueCountFrequency (%)
50248.6 1
< 0.1%
42126.3 1
< 0.1%
41966.88 1
< 0.1%
37595.97 1
< 0.1%
34033.59 1
< 0.1%
33844.74 1
< 0.1%
31214.29 1
< 0.1%
30325.5 1
< 0.1%
30022.13 1
< 0.1%
27658.86 1
< 0.1%
Distinct2346
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1065.6887
Minimum5.84
Maximum54190.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T16:54:50.342745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.84
5-th percentile35.2275
Q1121.585
median294.205
Q3757.825
95-th percentile3577.15
Maximum54190.6
Range54184.76
Interquartile range (IQR)636.24

Descriptive statistics

Standard deviation3363.1606
Coefficient of variation (CV)3.1558564
Kurtosis93.332959
Mean1065.6887
Median Absolute Deviation (MAD)219.865
Skewness8.621964
Sum2532076.5
Variance11310849
MonotonicityNot monotonic
2023-12-12T16:54:50.520550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
238.4 2
 
0.1%
57.49 2
 
0.1%
54.74 2
 
0.1%
102.33 2
 
0.1%
346.29 2
 
0.1%
234.41 2
 
0.1%
248.35 2
 
0.1%
266.58 2
 
0.1%
28.44 2
 
0.1%
105.58 2
 
0.1%
Other values (2336) 2356
99.2%
ValueCountFrequency (%)
5.84 1
< 0.1%
6.36 1
< 0.1%
7.58 1
< 0.1%
8.59 1
< 0.1%
8.94 1
< 0.1%
9.13 1
< 0.1%
9.28 1
< 0.1%
9.3 1
< 0.1%
9.67 1
< 0.1%
9.93 1
< 0.1%
ValueCountFrequency (%)
54190.6 1
< 0.1%
48929.75 1
< 0.1%
43280.53 1
< 0.1%
42950.61 1
< 0.1%
37914.09 1
< 0.1%
35092.75 1
< 0.1%
34042.72 1
< 0.1%
30324.78 1
< 0.1%
29393.94 1
< 0.1%
29354.7 1
< 0.1%
Distinct2345
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1069.3725
Minimum5.08
Maximum50526.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T16:54:50.705052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.08
5-th percentile31.59
Q1123.6475
median309.19
Q3763.5575
95-th percentile3577.8675
Maximum50526.87
Range50521.79
Interquartile range (IQR)639.91

Descriptive statistics

Standard deviation3353.7752
Coefficient of variation (CV)3.1362087
Kurtosis93.168781
Mean1069.3725
Median Absolute Deviation (MAD)226.585
Skewness8.6381749
Sum2540829
Variance11247808
MonotonicityNot monotonic
2023-12-12T16:54:50.844029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.55 2
 
0.1%
165.26 2
 
0.1%
119.53 2
 
0.1%
79.67 2
 
0.1%
67.0 2
 
0.1%
29.62 2
 
0.1%
159.91 2
 
0.1%
90.29 2
 
0.1%
79.18 2
 
0.1%
414.0 2
 
0.1%
Other values (2335) 2356
99.2%
ValueCountFrequency (%)
5.08 1
< 0.1%
6.16 1
< 0.1%
6.38 1
< 0.1%
7.8 1
< 0.1%
8.56 1
< 0.1%
8.64 1
< 0.1%
9.9 1
< 0.1%
10.16 1
< 0.1%
10.33 1
< 0.1%
10.57 1
< 0.1%
ValueCountFrequency (%)
50526.87 1
< 0.1%
49123.48 1
< 0.1%
48489.15 1
< 0.1%
40986.87 1
< 0.1%
37213.16 1
< 0.1%
36208.71 1
< 0.1%
35367.84 1
< 0.1%
32642.6 1
< 0.1%
27977.16 1
< 0.1%
27705.99 1
< 0.1%
Distinct2348
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1031.0966
Minimum4.3
Maximum47557.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T16:54:50.999876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.3
5-th percentile34.725
Q1128.345
median317.365
Q3755.54
95-th percentile3419.9
Maximum47557.78
Range47553.48
Interquartile range (IQR)627.195

Descriptive statistics

Standard deviation3160.6548
Coefficient of variation (CV)3.0653334
Kurtosis89.593363
Mean1031.0966
Median Absolute Deviation (MAD)230.115
Skewness8.4783729
Sum2449885.5
Variance9989739.1
MonotonicityNot monotonic
2023-12-12T16:54:51.160568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
296.05 2
 
0.1%
81.54 2
 
0.1%
136.76 2
 
0.1%
187.44 2
 
0.1%
50.76 2
 
0.1%
68.3 2
 
0.1%
99.31 2
 
0.1%
241.17 2
 
0.1%
245.82 2
 
0.1%
123.1 2
 
0.1%
Other values (2338) 2356
99.2%
ValueCountFrequency (%)
4.3 1
< 0.1%
6.53 1
< 0.1%
7.01 1
< 0.1%
8.52 1
< 0.1%
8.7 1
< 0.1%
8.98 1
< 0.1%
9.19 1
< 0.1%
9.51 1
< 0.1%
9.76 1
< 0.1%
9.94 1
< 0.1%
ValueCountFrequency (%)
47557.78 1
< 0.1%
46024.17 1
< 0.1%
43837.4 1
< 0.1%
37600.69 1
< 0.1%
36302.32 1
< 0.1%
33336.68 1
< 0.1%
32485.65 1
< 0.1%
29028.7 1
< 0.1%
27813.77 1
< 0.1%
27703.11 1
< 0.1%
Distinct2343
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1018.4216
Minimum3.88
Maximum45177.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T16:54:51.328073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.88
5-th percentile30.58
Q1115.065
median291.795
Q3725.86
95-th percentile3441.405
Maximum45177.11
Range45173.23
Interquartile range (IQR)610.795

Descriptive statistics

Standard deviation3171.2691
Coefficient of variation (CV)3.1139059
Kurtosis85.874016
Mean1018.4216
Median Absolute Deviation (MAD)214.65
Skewness8.3613495
Sum2419769.8
Variance10056948
MonotonicityNot monotonic
2023-12-12T16:54:51.529862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452.74 2
 
0.1%
104.87 2
 
0.1%
213.92 2
 
0.1%
34.29 2
 
0.1%
350.58 2
 
0.1%
395.18 2
 
0.1%
64.35 2
 
0.1%
25.07 2
 
0.1%
47.12 2
 
0.1%
128.07 2
 
0.1%
Other values (2333) 2356
99.2%
ValueCountFrequency (%)
3.88 1
< 0.1%
5.62 1
< 0.1%
5.69 1
< 0.1%
5.94 1
< 0.1%
5.98 1
< 0.1%
6.53 1
< 0.1%
7.17 1
< 0.1%
7.36 1
< 0.1%
8.19 1
< 0.1%
8.25 1
< 0.1%
ValueCountFrequency (%)
45177.11 1
< 0.1%
44805.78 1
< 0.1%
41969.04 1
< 0.1%
39899.09 1
< 0.1%
36899.38 1
< 0.1%
36671.79 1
< 0.1%
29923.86 1
< 0.1%
29892.76 1
< 0.1%
29109.41 1
< 0.1%
28707.28 1
< 0.1%
Distinct2355
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1108.7627
Minimum6.73
Maximum54965.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T16:54:51.694005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.73
5-th percentile41.165
Q1139.4475
median342.8
Q3828.225
95-th percentile3641.395
Maximum54965.98
Range54959.25
Interquartile range (IQR)688.7775

Descriptive statistics

Standard deviation3326.0734
Coefficient of variation (CV)2.9998063
Kurtosis94.166465
Mean1108.7627
Median Absolute Deviation (MAD)242.175
Skewness8.5633849
Sum2634420.2
Variance11062764
MonotonicityNot monotonic
2023-12-12T16:54:51.838864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
136.98 2
 
0.1%
79.15 2
 
0.1%
327.44 2
 
0.1%
57.47 2
 
0.1%
928.33 2
 
0.1%
14.69 2
 
0.1%
106.67 2
 
0.1%
376.59 2
 
0.1%
48.48 2
 
0.1%
49.97 2
 
0.1%
Other values (2345) 2356
99.2%
ValueCountFrequency (%)
6.73 1
< 0.1%
7.53 1
< 0.1%
8.85 1
< 0.1%
9.3 1
< 0.1%
9.66 1
< 0.1%
9.82 1
< 0.1%
10.77 1
< 0.1%
10.91 1
< 0.1%
11.13 1
< 0.1%
11.16 1
< 0.1%
ValueCountFrequency (%)
54965.98 1
< 0.1%
49177.69 1
< 0.1%
46637.45 1
< 0.1%
35809.96 1
< 0.1%
34658.52 1
< 0.1%
34109.69 1
< 0.1%
34036.32 1
< 0.1%
29385.27 1
< 0.1%
28999.66 1
< 0.1%
28182.42 1
< 0.1%
Distinct2357
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1079.9307
Minimum6.37
Maximum58199.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T16:54:52.014021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.37
5-th percentile37.3475
Q1129.7775
median314.945
Q3784.66
95-th percentile3593.5925
Maximum58199.42
Range58193.05
Interquartile range (IQR)654.8825

Descriptive statistics

Standard deviation3398.0817
Coefficient of variation (CV)3.1465739
Kurtosis101.97978
Mean1079.9307
Median Absolute Deviation (MAD)228.08
Skewness8.9177178
Sum2565915.3
Variance11546959
MonotonicityNot monotonic
2023-12-12T16:54:52.203711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
108.65 2
 
0.1%
117.22 2
 
0.1%
361.8 2
 
0.1%
528.66 2
 
0.1%
205.13 2
 
0.1%
430.81 2
 
0.1%
53.57 2
 
0.1%
175.05 2
 
0.1%
75.42 2
 
0.1%
119.43 2
 
0.1%
Other values (2347) 2356
99.2%
ValueCountFrequency (%)
6.37 1
< 0.1%
7.12 1
< 0.1%
7.53 1
< 0.1%
7.56 1
< 0.1%
8.42 1
< 0.1%
8.9 1
< 0.1%
8.98 1
< 0.1%
9.33 1
< 0.1%
9.42 1
< 0.1%
9.56 1
< 0.1%
ValueCountFrequency (%)
58199.42 1
< 0.1%
51301.04 1
< 0.1%
47980.85 1
< 0.1%
38259.83 1
< 0.1%
36298.78 1
< 0.1%
34478.3 1
< 0.1%
33506.12 1
< 0.1%
33214.36 1
< 0.1%
27099.84 1
< 0.1%
26575.48 1
< 0.1%
Distinct2349
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean968.61979
Minimum4.87
Maximum49686.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T16:54:52.389871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.87
5-th percentile33.4275
Q1114.7725
median287.125
Q3701.9675
95-th percentile3209.105
Maximum49686.58
Range49681.71
Interquartile range (IQR)587.195

Descriptive statistics

Standard deviation3004.009
Coefficient of variation (CV)3.1013294
Kurtosis96.654603
Mean968.61979
Median Absolute Deviation (MAD)211.515
Skewness8.7474309
Sum2301440.6
Variance9024070.1
MonotonicityNot monotonic
2023-12-12T16:54:52.570866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85.25 2
 
0.1%
230.59 2
 
0.1%
212.38 2
 
0.1%
129.39 2
 
0.1%
124.22 2
 
0.1%
743.46 2
 
0.1%
116.31 2
 
0.1%
142.88 2
 
0.1%
649.31 2
 
0.1%
349.22 2
 
0.1%
Other values (2339) 2356
99.2%
ValueCountFrequency (%)
4.87 1
< 0.1%
4.97 1
< 0.1%
5.31 1
< 0.1%
5.95 1
< 0.1%
6.23 1
< 0.1%
6.43 1
< 0.1%
7.27 1
< 0.1%
7.47 1
< 0.1%
7.63 1
< 0.1%
7.76 1
< 0.1%
ValueCountFrequency (%)
49686.58 1
< 0.1%
42661.62 1
< 0.1%
40128.98 1
< 0.1%
38017.47 1
< 0.1%
34485.12 1
< 0.1%
33191.12 1
< 0.1%
31035.48 1
< 0.1%
27271.28 1
< 0.1%
24590.01 1
< 0.1%
24551.02 1
< 0.1%
Distinct2247
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean140.20246
Minimum0.41
Maximum7416.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T16:54:52.729890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.41
5-th percentile7.2825
Q124.67
median53.21
Q3121.825
95-th percentile451.83
Maximum7416.07
Range7415.66
Interquartile range (IQR)97.155

Descriptive statistics

Standard deviation394.19148
Coefficient of variation (CV)2.8115875
Kurtosis139.74708
Mean140.20246
Median Absolute Deviation (MAD)36.15
Skewness10.210873
Sum333121.04
Variance155386.93
MonotonicityNot monotonic
2023-12-12T16:54:52.915509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26.38 3
 
0.1%
33.27 3
 
0.1%
18.0 3
 
0.1%
11.9 3
 
0.1%
24.99 3
 
0.1%
25.99 3
 
0.1%
37.57 3
 
0.1%
4.7 3
 
0.1%
7.91 3
 
0.1%
44.42 2
 
0.1%
Other values (2237) 2347
98.8%
ValueCountFrequency (%)
0.41 1
< 0.1%
0.44 1
< 0.1%
0.64 1
< 0.1%
0.73 1
< 0.1%
0.8 1
< 0.1%
0.84 1
< 0.1%
0.9 1
< 0.1%
0.95 1
< 0.1%
0.96 1
< 0.1%
0.97 1
< 0.1%
ValueCountFrequency (%)
7416.07 1
< 0.1%
7245.28 1
< 0.1%
5615.45 1
< 0.1%
4684.0 1
< 0.1%
4344.31 1
< 0.1%
4334.19 1
< 0.1%
3915.28 1
< 0.1%
3458.33 1
< 0.1%
3279.94 1
< 0.1%
3101.48 1
< 0.1%
Distinct2142
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean150.38665
Minimum0.2
Maximum9723.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T16:54:53.114617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile4.1775
Q115.845
median37.585
Q3102.6625
95-th percentile515.4525
Maximum9723.95
Range9723.75
Interquartile range (IQR)86.8175

Descriptive statistics

Standard deviation499.43789
Coefficient of variation (CV)3.3210254
Kurtosis128.91069
Mean150.38665
Median Absolute Deviation (MAD)28.375
Skewness9.7771626
Sum357318.68
Variance249438.2
MonotonicityNot monotonic
2023-12-12T16:54:53.279157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.84 4
 
0.2%
11.09 4
 
0.2%
21.36 4
 
0.2%
11.58 4
 
0.2%
16.27 4
 
0.2%
6.68 3
 
0.1%
5.74 3
 
0.1%
51.72 3
 
0.1%
13.48 3
 
0.1%
8.33 3
 
0.1%
Other values (2132) 2341
98.5%
ValueCountFrequency (%)
0.2 1
< 0.1%
0.41 1
< 0.1%
0.57 1
< 0.1%
0.63 1
< 0.1%
0.66 1
< 0.1%
0.74 2
0.1%
0.83 1
< 0.1%
0.9 2
0.1%
0.94 1
< 0.1%
0.96 1
< 0.1%
ValueCountFrequency (%)
9723.95 1
< 0.1%
8088.04 1
< 0.1%
7434.28 1
< 0.1%
5694.07 1
< 0.1%
4795.92 1
< 0.1%
4782.23 1
< 0.1%
4375.51 1
< 0.1%
4113.99 1
< 0.1%
4033.5 1
< 0.1%
3813.01 1
< 0.1%
Distinct2297
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean547.89061
Minimum0.88
Maximum32376.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T16:54:53.423208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.88
5-th percentile13.1225
Q148.8025
median124.31
Q3342.71
95-th percentile1907.4725
Maximum32376.28
Range32375.4
Interquartile range (IQR)293.9075

Descriptive statistics

Standard deviation1847.2411
Coefficient of variation (CV)3.3715509
Kurtosis108.43364
Mean547.89061
Median Absolute Deviation (MAD)95.945
Skewness9.1279341
Sum1301788.1
Variance3412299.6
MonotonicityNot monotonic
2023-12-12T16:54:53.566835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24.5 3
 
0.1%
135.72 2
 
0.1%
74.33 2
 
0.1%
55.76 2
 
0.1%
49.17 2
 
0.1%
64.09 2
 
0.1%
255.07 2
 
0.1%
10.26 2
 
0.1%
40.54 2
 
0.1%
128.19 2
 
0.1%
Other values (2287) 2355
99.1%
ValueCountFrequency (%)
0.88 1
< 0.1%
1.93 1
< 0.1%
2.24 1
< 0.1%
2.3 1
< 0.1%
2.46 1
< 0.1%
2.53 1
< 0.1%
2.86 1
< 0.1%
3.24 1
< 0.1%
3.37 1
< 0.1%
3.77 1
< 0.1%
ValueCountFrequency (%)
32376.28 1
< 0.1%
27759.67 1
< 0.1%
27240.39 1
< 0.1%
21928.57 1
< 0.1%
21787.08 1
< 0.1%
19528.35 1
< 0.1%
16391.44 1
< 0.1%
15858.6 1
< 0.1%
15012.16 1
< 0.1%
13668.66 1
< 0.1%
Distinct2085
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.39196
Minimum0.18
Maximum6547.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T16:54:53.705244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.18
5-th percentile2.74
Q19.7025
median24.555
Q365.4975
95-th percentile329.085
Maximum6547.26
Range6547.08
Interquartile range (IQR)55.795

Descriptive statistics

Standard deviation361.29384
Coefficient of variation (CV)3.5633383
Kurtosis125.23351
Mean101.39196
Median Absolute Deviation (MAD)18.345
Skewness9.8097758
Sum240907.29
Variance130533.24
MonotonicityNot monotonic
2023-12-12T16:54:53.871628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.31 4
 
0.2%
6.79 4
 
0.2%
12.4 4
 
0.2%
4.88 3
 
0.1%
7.6 3
 
0.1%
3.97 3
 
0.1%
14.76 3
 
0.1%
10.05 3
 
0.1%
25.71 3
 
0.1%
4.67 3
 
0.1%
Other values (2075) 2343
98.6%
ValueCountFrequency (%)
0.18 1
< 0.1%
0.46 1
< 0.1%
0.51 1
< 0.1%
0.52 1
< 0.1%
0.55 1
< 0.1%
0.64 1
< 0.1%
0.65 1
< 0.1%
0.66 1
< 0.1%
0.69 1
< 0.1%
0.7 2
0.1%
ValueCountFrequency (%)
6547.26 1
< 0.1%
6453.01 1
< 0.1%
4758.63 1
< 0.1%
3799.29 1
< 0.1%
3613.72 1
< 0.1%
3499.72 1
< 0.1%
3410.5 1
< 0.1%
3384.48 1
< 0.1%
3310.48 1
< 0.1%
3202.36 1
< 0.1%
Distinct2155
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.98962
Minimum0.31
Maximum10395.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T16:54:54.037932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.31
5-th percentile4.875
Q116.1675
median38.09
Q392.06
95-th percentile377.65
Maximum10395.34
Range10395.03
Interquartile range (IQR)75.8925

Descriptive statistics

Standard deviation467.897
Coefficient of variation (CV)3.6274005
Kurtosis189.74827
Mean128.98962
Median Absolute Deviation (MAD)26.985
Skewness11.955566
Sum306479.33
Variance218927.6
MonotonicityNot monotonic
2023-12-12T16:54:54.261722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.93 4
 
0.2%
24.24 3
 
0.1%
21.32 3
 
0.1%
15.34 3
 
0.1%
1.12 3
 
0.1%
13.01 3
 
0.1%
24.92 3
 
0.1%
4.56 3
 
0.1%
16.16 3
 
0.1%
15.77 3
 
0.1%
Other values (2145) 2345
98.7%
ValueCountFrequency (%)
0.31 1
 
< 0.1%
0.63 1
 
< 0.1%
0.76 1
 
< 0.1%
0.98 1
 
< 0.1%
1.11 2
0.1%
1.12 3
0.1%
1.28 1
 
< 0.1%
1.29 1
 
< 0.1%
1.35 1
 
< 0.1%
1.4 1
 
< 0.1%
ValueCountFrequency (%)
10395.34 1
< 0.1%
8615.21 1
< 0.1%
6518.04 1
< 0.1%
5893.46 1
< 0.1%
5287.72 1
< 0.1%
4594.69 1
< 0.1%
4500.09 1
< 0.1%
4344.35 1
< 0.1%
4007.55 1
< 0.1%
3742.97 1
< 0.1%
Distinct2330
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean500.02351
Minimum2.21
Maximum23732.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T16:54:54.464990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.21
5-th percentile25.5575
Q182.66
median183.23
Q3421.835
95-th percentile1623.5325
Maximum23732.2
Range23729.99
Interquartile range (IQR)339.175

Descriptive statistics

Standard deviation1339.7067
Coefficient of variation (CV)2.6792874
Kurtosis100.04184
Mean500.02351
Median Absolute Deviation (MAD)125.165
Skewness8.6952023
Sum1188055.8
Variance1794814
MonotonicityNot monotonic
2023-12-12T16:54:54.620565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
178.2 2
 
0.1%
32.78 2
 
0.1%
93.7 2
 
0.1%
45.45 2
 
0.1%
177.83 2
 
0.1%
188.04 2
 
0.1%
96.24 2
 
0.1%
291.92 2
 
0.1%
262.66 2
 
0.1%
264.56 2
 
0.1%
Other values (2320) 2356
99.2%
ValueCountFrequency (%)
2.21 1
< 0.1%
3.65 1
< 0.1%
3.79 1
< 0.1%
3.84 1
< 0.1%
4.0 1
< 0.1%
4.39 1
< 0.1%
4.41 1
< 0.1%
4.73 1
< 0.1%
4.84 1
< 0.1%
4.97 1
< 0.1%
ValueCountFrequency (%)
23732.2 1
< 0.1%
19604.7 1
< 0.1%
17630.75 1
< 0.1%
15584.62 1
< 0.1%
14407.94 1
< 0.1%
14377.55 1
< 0.1%
13246.63 1
< 0.1%
12444.7 1
< 0.1%
12406.64 1
< 0.1%
11152.77 1
< 0.1%
Distinct2329
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean504.3862
Minimum2.17
Maximum23013.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T16:54:55.094332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.17
5-th percentile18.215
Q164.205
median150.895
Q3376.5425
95-th percentile1708.575
Maximum23013.37
Range23011.2
Interquartile range (IQR)312.3375

Descriptive statistics

Standard deviation1487.5157
Coefficient of variation (CV)2.9491602
Kurtosis89.112759
Mean504.3862
Median Absolute Deviation (MAD)108
Skewness8.3454883
Sum1198421.6
Variance2212703
MonotonicityNot monotonic
2023-12-12T16:54:55.222039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77.69 3
 
0.1%
45.49 3
 
0.1%
35.97 2
 
0.1%
133.23 2
 
0.1%
39.98 2
 
0.1%
35.75 2
 
0.1%
12.83 2
 
0.1%
640.09 2
 
0.1%
27.08 2
 
0.1%
79.27 2
 
0.1%
Other values (2319) 2354
99.1%
ValueCountFrequency (%)
2.17 1
< 0.1%
2.66 1
< 0.1%
3.26 1
< 0.1%
3.39 1
< 0.1%
3.59 1
< 0.1%
4.43 1
< 0.1%
4.61 1
< 0.1%
5.15 1
< 0.1%
5.16 1
< 0.1%
5.36 1
< 0.1%
ValueCountFrequency (%)
23013.37 1
< 0.1%
22753.93 1
< 0.1%
18882.31 1
< 0.1%
18291.93 1
< 0.1%
16314.45 1
< 0.1%
15079.09 1
< 0.1%
15020.15 1
< 0.1%
13155.64 1
< 0.1%
13151.27 1
< 0.1%
13027.32 1
< 0.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.7 KiB
2021-11-30
2376 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-11-30
2nd row2021-11-30
3rd row2021-11-30
4th row2021-11-30
5th row2021-11-30

Common Values

ValueCountFrequency (%)
2021-11-30 2376
100.0%

Length

2023-12-12T16:54:55.349684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:54:55.443962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-11-30 2376
100.0%

Sample

인구이동_기점인구이동_종점0세_19세 일평균 외부유입 인구20세_39세 일평균 외부유입 인구40세_64세 일평균 외부유입 인구65세 이상 일평균 외부유입 인구남성_일평균 외부유입 인구여성_일평균 외부유입 인구2020년 1월_일평균 외부유입 인구2020년 2월_일평균 외부유입 인구2020년 3월_일평균 외부유입 인구2020년 4월_일평균 외부유입 인구2020년 5월_일평균 외부유입 인구2020년 6월_일평균 외부유입 인구2020년 7월_일평균 외부유입 인구2020년 8월_일평균 외부유입 인구2020년 9월_일평균 외부유입 인구2020년 10월_일평균 외부유입 인구2020년 11월_일평균 외부유입 인구2020년 12월_일평균 외부유입 인구주중_새벽(0시-6시)_일평균 외부유입 인구주중_출근(7시-9시)_일평균 외부유입 인구주중_주간(10시-17시)_일평균 외부유입 인구주중_퇴근(18시-20시)_일평균 외부유입 인구주중_야간(21시-23시)_일평균 외부유입 인구주말_첨두시(11시-19시)_일평균 외부유입 인구주말_비첨두시(20시-10시)_일평균 외부유입 인구데이터기준일자
0가평군고등동1.938.8516.40.759.5718.3624.919.0120.2515.2922.2227.0416.8140.8317.859.330.9227.035.291.977.842.073.3620.9610.292021-11-30
1가평군곡선동2.8215.7924.193.7915.9730.6282.0461.3411.8638.9746.8739.8435.3954.5323.5258.9952.3836.3312.045.0612.373.977.5724.8119.262021-11-30
2가평군광교1동29.6524.5548.834.8346.9560.9156.260.1836.2577.3394.02112.08201.9698.83101.995.18127.92128.9418.1111.6748.259.4514.0167.756.172021-11-30
3가평군광교2동2.699.9420.074.8413.9123.6329.6315.321.6239.7437.0161.3960.5141.2420.5920.726.4468.227.984.6413.723.064.2921.0718.252021-11-30
4가평군구운동5.8611.6226.297.5120.8630.4261.2530.4650.8338.5341.7157.9553.2436.555.6732.0943.0108.7912.085.2316.553.997.3538.1623.042021-11-30
5가평군권선1동6.8834.5931.418.733.5847.99133.950.7643.9143.3979.5829.52117.8487.1845.9579.9110.5751.0620.798.727.296.5413.2154.6235.742021-11-30
6가평군권선2동1.9511.9523.7626.7723.8640.56202.1830.7332.482.9937.5822.4140.5331.1766.9849.2869.8475.1717.457.1615.793.337.1345.3228.52021-11-30
7가평군금곡동3.7749.7835.6226.4535.4180.22143.63283.2434.934.13117.25129.58140.7571.6860.47115.03143.1987.6536.1313.4232.67.4617.0277.137.852021-11-30
8가평군망포1동16.5979.5346.740.9676.0867.73116.9795.31158.26104.1984.41144.07125.83144.18266.74133.95151.13198.134.8212.7434.267.9218.95157.6567.722021-11-30
9가평군망포2동2.337.5326.290.4622.8313.7826.3831.1121.2914.4990.7116.930.0470.2239.9318.3517.7612.597.132.96.62.013.9329.2712.442021-11-30
인구이동_기점인구이동_종점0세_19세 일평균 외부유입 인구20세_39세 일평균 외부유입 인구40세_64세 일평균 외부유입 인구65세 이상 일평균 외부유입 인구남성_일평균 외부유입 인구여성_일평균 외부유입 인구2020년 1월_일평균 외부유입 인구2020년 2월_일평균 외부유입 인구2020년 3월_일평균 외부유입 인구2020년 4월_일평균 외부유입 인구2020년 5월_일평균 외부유입 인구2020년 6월_일평균 외부유입 인구2020년 7월_일평균 외부유입 인구2020년 8월_일평균 외부유입 인구2020년 9월_일평균 외부유입 인구2020년 10월_일평균 외부유입 인구2020년 11월_일평균 외부유입 인구2020년 12월_일평균 외부유입 인구주중_새벽(0시-6시)_일평균 외부유입 인구주중_출근(7시-9시)_일평균 외부유입 인구주중_주간(10시-17시)_일평균 외부유입 인구주중_퇴근(18시-20시)_일평균 외부유입 인구주중_야간(21시-23시)_일평균 외부유입 인구주말_첨두시(11시-19시)_일평균 외부유입 인구주말_비첨두시(20시-10시)_일평균 외부유입 인구데이터기준일자
2366화성시정자3동714.752043.372607.26312.942571.033107.296188.235092.654972.225693.786015.15903.595791.855674.145021.266538.76314.254903.38478.85708.473340.2657.36693.842177.62995.852021-11-30
2367화성시조원1동450.122112.893522.44594.152587.294092.317679.276628.916561.616831.446401.146981.616570.466835.626953.527393.625927.315386.64694.48998.923757.66668.31799.592877.223199.392021-11-30
2368화성시조원2동73.46524.1838.0691.18656.89869.912051.591645.661506.511540.831496.361447.791367.31455.081332.551536.051524.871416.24123.68185.99880.24166.39182.62600.65895.632021-11-30
2369화성시지동251.91143.782357.2604.742307.372050.255197.794702.993710.384110.234628.874278.394211.864114.084092.764529.54413.664305.95519.48816.892575.65325.51440.521729.661820.742021-11-30
2370화성시파장동237.052055.793356.09375.72456.543568.17208.736061.815684.176015.056329.86279.615893.685624.395593.516354.985876.195365.32549.451006.83721.04520.24556.522332.382862.42021-11-30
2371화성시평동3914.3915024.021988.623180.9118623.7725484.1543334.3940372.838368.5441529.8641966.8848929.7548489.1543837.445177.1146637.4547980.8542661.623915.287434.2827240.394758.635287.7214407.9418291.932021-11-30
2372화성시행궁동1343.392814.594378.631129.264854.344811.539827.178040.987406.138590.4410110.5611184.5111224.338873.6910054.0511941.2510739.57954.4550.361218.716259.02951.68848.02988.666269.332021-11-30
2373화성시호매실동345.991559.822413.53301.742189.922431.174918.234321.924082.264399.144876.724696.624843.745200.044634.074620.314687.644150.85502.5652.742451.71501.22571.451966.382507.222021-11-30
2374화성시화서1동226.431354.72240.98317.211854.212285.14552.423732.773604.994253.264016.44077.164155.974671.094030.364487.254238.583826.66441.9550.292410.66368.53424.591923.212073.372021-11-30
2375화성시화서2동324.671504.22487.58374.662054.022637.15645.854683.054345.774758.284868.255117.714557.184444.034231.325031.074461.984142.05533.71696.572446.18481.34546.012166.042493.082021-11-30