Overview

Dataset statistics

Number of variables25
Number of observations170
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory37.2 KiB
Average record size in memory223.8 B

Variable types

Categorical2
Numeric23

Dataset

Description부산광역시 인구동태 현황에 대한 데이터로 부산시 연도별·구군별 결혼, 출생, 사망, 이혼 등의 항목에 대한 정보를 제공합니다.
Author부산광역시
URLhttps://www.data.go.kr/data/3076630/fileData.do

Reproduction

Analysis started2023-12-16 15:23:03.011704
Analysis finished2023-12-16 15:23:03.620323
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정구역별
Categorical

Distinct17
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
부산광역시
 
10
중구
 
10
서구
 
10
동구
 
10
영도구
 
10
Other values (12)
120 

Length

Max length5
Median length3
Mean length2.9411765
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산광역시
2nd row부산광역시
3rd row부산광역시
4th row부산광역시
5th row부산광역시

Common Values

ValueCountFrequency (%)
부산광역시 10
 
5.9%
중구 10
 
5.9%
서구 10
 
5.9%
동구 10
 
5.9%
영도구 10
 
5.9%
부산진구 10
 
5.9%
동래구 10
 
5.9%
남구 10
 
5.9%
북구 10
 
5.9%
해운대구 10
 
5.9%
Other values (7) 70
41.2%

Length

2023-12-16T15:23:04.054396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부산광역시 10
 
5.9%
해운대구 10
 
5.9%
사상구 10
 
5.9%
수영구 10
 
5.9%
연제구 10
 
5.9%
강서구 10
 
5.9%
금정구 10
 
5.9%
사하구 10
 
5.9%
북구 10
 
5.9%
중구 10
 
5.9%
Other values (7) 70
41.2%

항목
Categorical

Distinct10
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
출생건수 (명)
17 
조출생률 (천명당)
17 
사망건수 (명)
17 
조사망률 (천명당)
17 
자연증가건수 (명)
17 
Other values (5)
85 

Length

Max length11
Median length10.5
Mean length9.3
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row출생건수 (명)
2nd row조출생률 (천명당)
3rd row사망건수 (명)
4th row조사망률 (천명당)
5th row자연증가건수 (명)

Common Values

ValueCountFrequency (%)
출생건수 (명) 17
10.0%
조출생률 (천명당) 17
10.0%
사망건수 (명) 17
10.0%
조사망률 (천명당) 17
10.0%
자연증가건수 (명) 17
10.0%
자연증가율 (천명당) 17
10.0%
혼인건수 (건) 17
10.0%
조혼인율 (천명당) 17
10.0%
이혼건수 (건) 17
10.0%
조이혼율 (천명당) 17
10.0%

Length

2023-12-16T15:23:04.822133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:23:05.392326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
천명당 85
25.0%
명 51
15.0%
건 34
 
10.0%
출생건수 17
 
5.0%
조출생률 17
 
5.0%
사망건수 17
 
5.0%
조사망률 17
 
5.0%
자연증가건수 17
 
5.0%
자연증가율 17
 
5.0%
혼인건수 17
 
5.0%
Other values (3) 51
15.0%

2000
Real number (ℝ)

Distinct137
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1366.6929
Minimum0.7
Maximum41222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-16T15:23:06.210338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.7
5-th percentile2.645
Q15.8
median27.6
Q31183.25
95-th percentile3971.3
Maximum41222
Range41221.3
Interquartile range (IQR)1177.45

Descriptive statistics

Standard deviation4321.3674
Coefficient of variation (CV)3.1619153
Kurtosis50.759781
Mean1366.6929
Median Absolute Deviation (MAD)26.1
Skewness6.6334761
Sum232337.8
Variance18674216
MonotonicityNot monotonic
2023-12-16T15:23:06.848735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.1 5
 
2.9%
6.0 4
 
2.4%
2.7 3
 
1.8%
2.6 3
 
1.8%
5.5 3
 
1.8%
4.6 3
 
1.8%
2.5 3
 
1.8%
6.5 2
 
1.2%
492.0 2
 
1.2%
5.1 2
 
1.2%
Other values (127) 140
82.4%
ValueCountFrequency (%)
0.7 1
 
0.6%
2.3 1
 
0.6%
2.4 1
 
0.6%
2.5 3
1.8%
2.6 3
1.8%
2.7 3
1.8%
2.8 2
1.2%
2.9 2
1.2%
3.0 2
1.2%
3.1 1
 
0.6%
ValueCountFrequency (%)
41222.0 1
0.6%
23343.0 1
0.6%
22904.0 1
0.6%
18318.0 1
0.6%
10129.0 1
0.6%
5003.0 1
0.6%
4545.0 1
0.6%
4533.0 1
0.6%
4055.0 1
0.6%
3869.0 1
0.6%

2001
Real number (ℝ)

Distinct136
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1226.3547
Minimum-17
Maximum35848
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)1.2%
Memory size1.6 KiB
2023-12-16T15:23:07.633538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-17
5-th percentile2.645
Q15.1
median11.2
Q31151.5
95-th percentile3421.95
Maximum35848
Range35865
Interquartile range (IQR)1146.4

Descriptive statistics

Standard deviation3819.4915
Coefficient of variation (CV)3.1145079
Kurtosis48.251398
Mean1226.3547
Median Absolute Deviation (MAD)19.85
Skewness6.4807544
Sum208480.3
Variance14588515
MonotonicityNot monotonic
2023-12-16T15:23:08.187087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.7 5
 
2.9%
5.6 4
 
2.4%
8.3 3
 
1.8%
6.1 3
 
1.8%
2.2 3
 
1.8%
4.9 3
 
1.8%
2585.0 2
 
1.2%
6.0 2
 
1.2%
3.5 2
 
1.2%
8.4 2
 
1.2%
Other values (126) 141
82.9%
ValueCountFrequency (%)
-17.0 1
 
0.6%
-0.3 1
 
0.6%
1.6 1
 
0.6%
2.2 3
1.8%
2.5 1
 
0.6%
2.6 2
 
1.2%
2.7 5
2.9%
2.8 2
 
1.2%
2.9 1
 
0.6%
3.0 2
 
1.2%
ValueCountFrequency (%)
35848.0 1
0.6%
21825.0 1
0.6%
18422.0 1
0.6%
17426.0 1
0.6%
10489.0 1
0.6%
4302.0 1
0.6%
3987.0 1
0.6%
3903.0 1
0.6%
3480.0 1
0.6%
3351.0 1
0.6%

2002
Real number (ℝ)

Distinct132
Distinct (%)77.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1114.4282
Minimum-88
Maximum30767
Zeros1
Zeros (%)0.6%
Negative2
Negative (%)1.2%
Memory size1.6 KiB
2023-12-16T15:23:08.766023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-88
5-th percentile2.5
Q15
median9.2
Q31064
95-th percentile2866.35
Maximum30767
Range30855
Interquartile range (IQR)1059

Descriptive statistics

Standard deviation3421.641
Coefficient of variation (CV)3.0703108
Kurtosis43.972686
Mean1114.4282
Median Absolute Deviation (MAD)9.95
Skewness6.2525436
Sum189452.8
Variance11707627
MonotonicityNot monotonic
2023-12-16T15:23:09.855413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.4 6
 
3.5%
5.0 4
 
2.4%
3.2 4
 
2.4%
5.6 4
 
2.4%
5.8 4
 
2.4%
7.0 3
 
1.8%
4.5 3
 
1.8%
4.2 3
 
1.8%
9.2 3
 
1.8%
5.1 3
 
1.8%
Other values (122) 133
78.2%
ValueCountFrequency (%)
-88.0 1
0.6%
-1.5 1
0.6%
0.0 1
0.6%
0.4 1
0.6%
0.5 1
0.6%
1.0 1
0.6%
2.2 1
0.6%
2.3 1
0.6%
2.5 2
1.2%
2.6 2
1.2%
ValueCountFrequency (%)
30767.0 1
0.6%
20916.0 1
0.6%
18688.0 1
0.6%
12079.0 1
0.6%
12065.0 1
0.6%
3595.0 1
0.6%
3524.0 1
0.6%
3495.0 1
0.6%
2919.0 1
0.6%
2802.0 1
0.6%

2003
Real number (ℝ)

Distinct132
Distinct (%)77.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1112.8794
Minimum-98
Maximum30117
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)1.2%
Memory size1.6 KiB
2023-12-16T15:23:10.523085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-98
5-th percentile2.59
Q15
median9.4
Q31124.5
95-th percentile2915.1
Maximum30117
Range30215
Interquartile range (IQR)1119.5

Descriptive statistics

Standard deviation3384.1346
Coefficient of variation (CV)3.0408817
Kurtosis42.222304
Mean1112.8794
Median Absolute Deviation (MAD)10.2
Skewness6.1374522
Sum189189.5
Variance11452367
MonotonicityNot monotonic
2023-12-16T15:23:11.267409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.8 4
 
2.4%
4.0 4
 
2.4%
5.4 4
 
2.4%
7.0 3
 
1.8%
5.6 3
 
1.8%
3.5 3
 
1.8%
8.1 3
 
1.8%
3.7 3
 
1.8%
4.9 3
 
1.8%
5.1 3
 
1.8%
Other values (122) 137
80.6%
ValueCountFrequency (%)
-98.0 1
0.6%
-1.7 1
0.6%
0.1 1
0.6%
0.6 1
0.6%
0.7 2
1.2%
1.8 1
0.6%
2.4 1
0.6%
2.5 1
0.6%
2.7 1
0.6%
3.1 1
0.6%
ValueCountFrequency (%)
30117.0 1
0.6%
20027.0 1
0.6%
18528.0 1
0.6%
14120.0 1
0.6%
11589.0 1
0.6%
3464.0 1
0.6%
3380.0 1
0.6%
3182.0 1
0.6%
3105.0 1
0.6%
2683.0 1
0.6%

2004
Real number (ℝ)

Distinct135
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1034.0412
Minimum-143
Maximum28231
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)4.7%
Memory size1.6 KiB
2023-12-16T15:23:12.138646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-143
5-th percentile0.995
Q14.8
median8.35
Q31043
95-th percentile2748.6
Maximum28231
Range28374
Interquartile range (IQR)1038.2

Descriptive statistics

Standard deviation3194.2458
Coefficient of variation (CV)3.0890896
Kurtosis43.367781
Mean1034.0412
Median Absolute Deviation (MAD)15.3
Skewness6.2485657
Sum175787
Variance10203206
MonotonicityNot monotonic
2023-12-16T15:23:13.108921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.4 4
 
2.4%
6.2 4
 
2.4%
5.0 4
 
2.4%
3.0 4
 
2.4%
5.3 3
 
1.8%
4.6 3
 
1.8%
7.1 3
 
1.8%
3.2 3
 
1.8%
5.4 3
 
1.8%
2.9 3
 
1.8%
Other values (125) 136
80.0%
ValueCountFrequency (%)
-143.0 1
0.6%
-103.0 1
0.6%
-53.0 1
0.6%
-19.0 1
0.6%
-2.6 1
0.6%
-0.9 1
0.6%
-0.4 1
0.6%
-0.1 1
0.6%
0.5 1
0.6%
1.6 1
0.6%
ValueCountFrequency (%)
28231.0 1
0.6%
19898.0 1
0.6%
18722.0 1
0.6%
11334.0 1
0.6%
9509.0 1
0.6%
3250.0 1
0.6%
3194.0 1
0.6%
3115.0 1
0.6%
2952.0 1
0.6%
2500.0 1
0.6%

2005
Real number (ℝ)

Distinct133
Distinct (%)78.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean946.16118
Minimum-155
Maximum25681
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)5.9%
Memory size1.6 KiB
2023-12-16T15:23:14.120129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-155
5-th percentile-0.855
Q14.625
median7.5
Q3914.5
95-th percentile2634.85
Maximum25681
Range25836
Interquartile range (IQR)909.875

Descriptive statistics

Standard deviation2971.4483
Coefficient of variation (CV)3.1405308
Kurtosis43.388858
Mean946.16118
Median Absolute Deviation (MAD)29.95
Skewness6.30346
Sum160847.4
Variance8829504.9
MonotonicityNot monotonic
2023-12-16T15:23:15.125739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.8 5
 
2.9%
4.9 4
 
2.4%
4.7 4
 
2.4%
2.5 3
 
1.8%
5.1 3
 
1.8%
5.8 3
 
1.8%
3.1 3
 
1.8%
5.3 3
 
1.8%
2.7 3
 
1.8%
6.0 2
 
1.2%
Other values (123) 137
80.6%
ValueCountFrequency (%)
-155.0 1
0.6%
-133.0 2
1.2%
-104.0 1
0.6%
-43.0 1
0.6%
-1.9 1
0.6%
-1.2 1
0.6%
-0.9 2
1.2%
-0.8 1
0.6%
0.9 1
0.6%
1.3 1
0.6%
ValueCountFrequency (%)
25681.0 1
0.6%
18973.0 1
0.6%
18854.0 1
0.6%
9905.0 1
0.6%
6827.0 1
0.6%
3077.0 1
0.6%
2964.0 1
0.6%
2857.0 1
0.6%
2755.0 1
0.6%
2488.0 1
0.6%

2006
Real number (ℝ)

Distinct134
Distinct (%)78.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean951.96706
Minimum-139
Maximum25881
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)5.9%
Memory size1.6 KiB
2023-12-16T15:23:16.200931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-139
5-th percentile-0.755
Q14.825
median7.8
Q3946.75
95-th percentile2534.15
Maximum25881
Range26020
Interquartile range (IQR)941.925

Descriptive statistics

Standard deviation3012.1608
Coefficient of variation (CV)3.1641439
Kurtosis43.832111
Mean951.96706
Median Absolute Deviation (MAD)31.15
Skewness6.3475822
Sum161834.4
Variance9073112.4
MonotonicityNot monotonic
2023-12-16T15:23:17.305412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.5 5
 
2.9%
5.3 4
 
2.4%
5.4 4
 
2.4%
7.1 4
 
2.4%
5.6 3
 
1.8%
5.7 3
 
1.8%
5.1 3
 
1.8%
2.2 3
 
1.8%
5.9 3
 
1.8%
2.6 3
 
1.8%
Other values (124) 135
79.4%
ValueCountFrequency (%)
-139.0 1
0.6%
-124.0 1
0.6%
-112.0 1
0.6%
-108.0 1
0.6%
-53.0 1
0.6%
-2.3 1
0.6%
-1.3 1
0.6%
-1.0 1
0.6%
-0.8 1
0.6%
-0.7 1
0.6%
ValueCountFrequency (%)
25881.0 1
0.6%
20017.0 1
0.6%
18983.0 1
0.6%
8953.0 1
0.6%
6898.0 1
0.6%
3209.0 1
0.6%
3117.0 1
0.6%
2919.0 1
0.6%
2603.0 1
0.6%
2450.0 1
0.6%

2007
Real number (ℝ)

Distinct137
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1026.0335
Minimum-107
Maximum28426
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)5.9%
Memory size1.6 KiB
2023-12-16T15:23:18.504373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-107
5-th percentile-0.32
Q14.85
median8.25
Q3962
95-th percentile2717.55
Maximum28426
Range28533
Interquartile range (IQR)957.15

Descriptive statistics

Standard deviation3235.8754
Coefficient of variation (CV)3.1537715
Kurtosis44.781951
Mean1026.0335
Median Absolute Deviation (MAD)11.25
Skewness6.3751916
Sum174425.7
Variance10470889
MonotonicityNot monotonic
2023-12-16T15:23:19.246870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.4 4
 
2.4%
2.5 3
 
1.8%
6.4 3
 
1.8%
2.6 3
 
1.8%
2.1 3
 
1.8%
2.7 3
 
1.8%
2.9 2
 
1.2%
5.2 2
 
1.2%
7.8 2
 
1.2%
7.2 2
 
1.2%
Other values (127) 143
84.1%
ValueCountFrequency (%)
-107.0 1
0.6%
-103.0 1
0.6%
-78.0 1
0.6%
-74.0 1
0.6%
-4.0 1
0.6%
-2.0 1
0.6%
-0.8 1
0.6%
-0.7 1
0.6%
-0.5 1
0.6%
-0.1 1
0.6%
ValueCountFrequency (%)
28426.0 1
0.6%
21484.0 1
0.6%
19170.0 1
0.6%
9256.0 1
0.6%
8677.0 1
0.6%
3646.0 1
0.6%
3534.0 1
0.6%
3088.0 1
0.6%
2736.0 1
0.6%
2695.0 1
0.6%

2008
Real number (ℝ)

Distinct134
Distinct (%)78.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean959.82941
Minimum-234
Maximum26670
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)5.9%
Memory size1.6 KiB
2023-12-16T15:23:20.080204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-234
5-th percentile-1.265
Q14.825
median7.85
Q3911.25
95-th percentile2536.95
Maximum26670
Range26904
Interquartile range (IQR)906.425

Descriptive statistics

Standard deviation3064.1367
Coefficient of variation (CV)3.1923763
Kurtosis45.068337
Mean959.82941
Median Absolute Deviation (MAD)22.7
Skewness6.4261976
Sum163171
Variance9388933.5
MonotonicityNot monotonic
2023-12-16T15:23:20.577821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.2 5
 
2.9%
5.6 4
 
2.4%
5.3 3
 
1.8%
2.6 3
 
1.8%
5.0 3
 
1.8%
8.2 3
 
1.8%
2.0 3
 
1.8%
6.0 3
 
1.8%
7.7 3
 
1.8%
6.2 3
 
1.8%
Other values (124) 137
80.6%
ValueCountFrequency (%)
-234.0 1
0.6%
-176.0 1
0.6%
-165.0 1
0.6%
-125.0 1
0.6%
-69.0 1
0.6%
-2.4 1
0.6%
-1.8 1
0.6%
-1.7 1
0.6%
-1.4 1
0.6%
-1.1 1
0.6%
ValueCountFrequency (%)
26670.0 1
0.6%
20149.0 1
0.6%
19385.0 1
0.6%
7908.0 1
0.6%
7285.0 1
0.6%
3314.0 1
0.6%
3299.0 1
0.6%
3118.0 1
0.6%
2586.0 1
0.6%
2477.0 1
0.6%

2009
Real number (ℝ)

Distinct136
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean912.54882
Minimum-352
Maximum25110
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)5.9%
Memory size1.6 KiB
2023-12-16T15:23:21.218904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-352
5-th percentile-1.035
Q14.625
median7.65
Q3873.5
95-th percentile2246.15
Maximum25110
Range25462
Interquartile range (IQR)868.875

Descriptive statistics

Standard deviation2905.0611
Coefficient of variation (CV)3.1834583
Kurtosis44.401076
Mean912.54882
Median Absolute Deviation (MAD)15.5
Skewness6.386594
Sum155133.3
Variance8439380.1
MonotonicityNot monotonic
2023-12-16T15:23:21.881047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.2 4
 
2.4%
2.7 4
 
2.4%
7.1 4
 
2.4%
2.3 4
 
2.4%
5.1 3
 
1.8%
5.3 3
 
1.8%
4.8 3
 
1.8%
7.5 3
 
1.8%
2.5 3
 
1.8%
2.6 3
 
1.8%
Other values (126) 136
80.0%
ValueCountFrequency (%)
-352.0 1
0.6%
-340.0 1
0.6%
-183.0 1
0.6%
-87.0 1
0.6%
-13.0 1
0.6%
-2.7 1
0.6%
-2.3 1
0.6%
-1.8 2
1.2%
-0.1 1
0.6%
0.7 1
0.6%
ValueCountFrequency (%)
25110.0 1
0.6%
18954.0 1
0.6%
18614.0 1
0.6%
8550.0 1
0.6%
6156.0 1
0.6%
3229.0 1
0.6%
3175.0 1
0.6%
2965.0 1
0.6%
2252.0 1
0.6%
2239.0 1
0.6%

2010
Real number (ℝ)

Distinct135
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean974.95
Minimum-254
Maximum27415
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)4.7%
Memory size1.6 KiB
2023-12-16T15:23:22.581159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-254
5-th percentile1.06
Q15.025
median8.45
Q3884.5
95-th percentile2414.85
Maximum27415
Range27669
Interquartile range (IQR)879.475

Descriptive statistics

Standard deviation3114.5434
Coefficient of variation (CV)3.1945673
Kurtosis45.979111
Mean974.95
Median Absolute Deviation (MAD)22
Skewness6.4858601
Sum165741.5
Variance9700380.6
MonotonicityNot monotonic
2023-12-16T15:23:23.721989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.8 5
 
2.9%
5.4 5
 
2.9%
2.0 4
 
2.4%
5.7 3
 
1.8%
6.1 3
 
1.8%
5.2 3
 
1.8%
2.1 3
 
1.8%
2.6 3
 
1.8%
2.2 3
 
1.8%
4.7 3
 
1.8%
Other values (125) 135
79.4%
ValueCountFrequency (%)
-254.0 1
0.6%
-249.0 1
0.6%
-211.0 1
0.6%
-25.0 1
0.6%
-2.1 1
0.6%
-2.0 1
0.6%
-1.7 1
0.6%
-0.5 1
0.6%
0.7 1
0.6%
1.5 1
0.6%
ValueCountFrequency (%)
27415.0 1
0.6%
20195.0 1
0.6%
19708.0 1
0.6%
7707.0 1
0.6%
7645.0 1
0.6%
3368.0 1
0.6%
3270.0 1
0.6%
3053.0 1
0.6%
2436.0 1
0.6%
2389.0 1
0.6%

2011
Real number (ℝ)

Distinct133
Distinct (%)78.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean981.84235
Minimum-329
Maximum27759
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)4.7%
Memory size1.6 KiB
2023-12-16T15:23:24.639943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-329
5-th percentile1.325
Q15.2
median8.55
Q3855.5
95-th percentile2447.65
Maximum27759
Range28088
Interquartile range (IQR)850.3

Descriptive statistics

Standard deviation3135.9736
Coefficient of variation (CV)3.1939685
Kurtosis46.208672
Mean981.84235
Median Absolute Deviation (MAD)23.4
Skewness6.491217
Sum166913.2
Variance9834330.3
MonotonicityNot monotonic
2023-12-16T15:23:25.738309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.3 6
 
3.5%
2.1 5
 
2.9%
2.6 4
 
2.4%
1.9 4
 
2.4%
2.4 3
 
1.8%
6.5 3
 
1.8%
5.8 3
 
1.8%
7.9 3
 
1.8%
5.0 3
 
1.8%
7.4 3
 
1.8%
Other values (123) 133
78.2%
ValueCountFrequency (%)
-329.0 1
0.6%
-210.0 1
0.6%
-120.0 1
0.6%
-27.0 1
0.6%
-2.7 1
0.6%
-1.5 1
0.6%
-1.2 1
0.6%
-0.6 1
0.6%
1.1 1
0.6%
1.6 1
0.6%
ValueCountFrequency (%)
27759.0 1
0.6%
20224.0 1
0.6%
19643.0 1
0.6%
8116.0 1
0.6%
7514.0 1
0.6%
3493.0 1
0.6%
3288.0 1
0.6%
3239.0 1
0.6%
2548.0 1
0.6%
2325.0 1
0.6%

2012
Real number (ℝ)

Distinct132
Distinct (%)77.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1004.8882
Minimum-310
Maximum28673
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)4.7%
Memory size1.6 KiB
2023-12-16T15:23:27.094912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-310
5-th percentile1.515
Q15.2
median9.05
Q3898.75
95-th percentile2542.9
Maximum28673
Range28983
Interquartile range (IQR)893.55

Descriptive statistics

Standard deviation3221.8404
Coefficient of variation (CV)3.2061679
Kurtosis46.818238
Mean1004.8882
Median Absolute Deviation (MAD)43.85
Skewness6.5321176
Sum170831
Variance10380255
MonotonicityNot monotonic
2023-12-16T15:23:27.823589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.3 5
 
2.9%
1.9 5
 
2.9%
6.5 4
 
2.4%
2.6 3
 
1.8%
5.0 3
 
1.8%
5.7 3
 
1.8%
5.8 3
 
1.8%
2.1 3
 
1.8%
8.2 3
 
1.8%
3.1 2
 
1.2%
Other values (122) 136
80.0%
ValueCountFrequency (%)
-310.0 1
 
0.6%
-309.0 1
 
0.6%
-214.0 1
 
0.6%
-67.0 1
 
0.6%
-2.6 1
 
0.6%
-2.2 2
 
1.2%
-1.4 1
 
0.6%
1.2 1
 
0.6%
1.9 5
2.9%
2.0 2
 
1.2%
ValueCountFrequency (%)
28673.0 1
0.6%
20534.0 1
0.6%
20362.0 1
0.6%
8139.0 1
0.6%
7501.0 1
0.6%
3475.0 1
0.6%
3473.0 1
0.6%
3219.0 1
0.6%
2578.0 1
0.6%
2500.0 1
0.6%

2013
Real number (ℝ)

Distinct134
Distinct (%)78.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean941.58529
Minimum-408
Maximum25831
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)4.7%
Memory size1.6 KiB
2023-12-16T15:23:28.810417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-408
5-th percentile0.505
Q15.125
median8.25
Q3840.25
95-th percentile2523.8
Maximum25831
Range26239
Interquartile range (IQR)835.125

Descriptive statistics

Standard deviation3044.9093
Coefficient of variation (CV)3.2338114
Kurtosis45.040417
Mean941.58529
Median Absolute Deviation (MAD)19.5
Skewness6.4798446
Sum160069.5
Variance9271472.4
MonotonicityNot monotonic
2023-12-16T15:23:29.711232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.1 5
 
2.9%
2.0 5
 
2.9%
5.8 4
 
2.4%
5.3 4
 
2.4%
2.4 3
 
1.8%
1.6 3
 
1.8%
1.9 3
 
1.8%
5.0 2
 
1.2%
2.9 2
 
1.2%
6.5 2
 
1.2%
Other values (124) 137
80.6%
ValueCountFrequency (%)
-408.0 1
0.6%
-339.0 1
0.6%
-259.0 1
0.6%
-83.0 1
0.6%
-3.0 1
0.6%
-2.9 1
0.6%
-2.7 1
0.6%
-1.8 1
0.6%
0.1 1
0.6%
1.0 1
0.6%
ValueCountFrequency (%)
25831.0 1
0.6%
20734.0 1
0.6%
20096.0 1
0.6%
7444.0 1
0.6%
5735.0 1
0.6%
3148.0 1
0.6%
3070.0 1
0.6%
2851.0 1
0.6%
2621.0 1
0.6%
2405.0 1
0.6%

2014
Real number (ℝ)

Distinct135
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean927.61647
Minimum-462
Maximum26190
Zeros1
Zeros (%)0.6%
Negative9
Negative (%)5.3%
Memory size1.6 KiB
2023-12-16T15:23:30.673896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-462
5-th percentile-0.55
Q14.925
median8.35
Q3874.25
95-th percentile2397.1
Maximum26190
Range26652
Interquartile range (IQR)869.325

Descriptive statistics

Standard deviation2998.131
Coefficient of variation (CV)3.2320804
Kurtosis46.537624
Mean927.61647
Median Absolute Deviation (MAD)11.6
Skewness6.554565
Sum157694.8
Variance8988789.5
MonotonicityNot monotonic
2023-12-16T15:23:31.699539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.1 6
 
3.5%
5.8 4
 
2.4%
5.4 4
 
2.4%
2.3 3
 
1.8%
2.0 3
 
1.8%
2.6 3
 
1.8%
5.6 2
 
1.2%
5.9 2
 
1.2%
6.0 2
 
1.2%
4.6 2
 
1.2%
Other values (125) 139
81.8%
ValueCountFrequency (%)
-462.0 1
0.6%
-284.0 1
0.6%
-283.0 1
0.6%
-110.0 1
0.6%
-3.5 1
0.6%
-3.0 1
0.6%
-2.4 2
1.2%
-1.0 1
0.6%
0.0 1
0.6%
0.9 1
0.6%
ValueCountFrequency (%)
26190.0 1
0.6%
20230.0 1
0.6%
18927.0 1
0.6%
7345.0 1
0.6%
5960.0 1
0.6%
3092.0 1
0.6%
3027.0 1
0.6%
2724.0 1
0.6%
2398.0 1
0.6%
2396.0 1
0.6%

2015
Real number (ℝ)

Distinct138
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean925.73647
Minimum-470
Maximum26645
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)4.7%
Memory size1.6 KiB
2023-12-16T15:23:32.771887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-470
5-th percentile0.55
Q14.9
median9.25
Q3863.5
95-th percentile2377.2
Maximum26645
Range27115
Interquartile range (IQR)858.6

Descriptive statistics

Standard deviation3021.7825
Coefficient of variation (CV)3.264193
Kurtosis47.870476
Mean925.73647
Median Absolute Deviation (MAD)15.05
Skewness6.6471053
Sum157375.2
Variance9131169.5
MonotonicityNot monotonic
2023-12-16T15:23:33.627800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.3 5
 
2.9%
1.9 5
 
2.9%
1.7 4
 
2.4%
1.8 4
 
2.4%
2.0 4
 
2.4%
5.8 3
 
1.8%
4.9 3
 
1.8%
5.7 3
 
1.8%
2.5 2
 
1.2%
8.0 2
 
1.2%
Other values (128) 135
79.4%
ValueCountFrequency (%)
-470.0 1
0.6%
-440.0 1
0.6%
-374.0 1
0.6%
-100.0 1
0.6%
-4.1 1
0.6%
-3.8 1
0.6%
-3.7 1
0.6%
-2.2 1
0.6%
0.1 1
0.6%
1.1 1
0.6%
ValueCountFrequency (%)
26645.0 1
0.6%
20820.0 1
0.6%
18553.0 1
0.6%
6649.0 1
0.6%
5825.0 1
0.6%
3029.0 1
0.6%
3022.0 1
0.6%
2696.0 1
0.6%
2397.0 1
0.6%
2353.0 1
0.6%

2016
Real number (ℝ)

Distinct137
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean870.21294
Minimum-492
Maximum24906
Zeros1
Zeros (%)0.6%
Negative10
Negative (%)5.9%
Memory size1.6 KiB
2023-12-16T15:23:34.450627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-492
5-th percentile-2.55
Q14.225
median8.85
Q3852.25
95-th percentile2408.45
Maximum24906
Range25398
Interquartile range (IQR)848.025

Descriptive statistics

Standard deviation2880.3552
Coefficient of variation (CV)3.309943
Kurtosis47.84855
Mean870.21294
Median Absolute Deviation (MAD)13
Skewness6.6716155
Sum147936.2
Variance8296446.1
MonotonicityNot monotonic
2023-12-16T15:23:35.355670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.2 5
 
2.9%
4.9 4
 
2.4%
5.1 3
 
1.8%
1.8 3
 
1.8%
5.5 3
 
1.8%
1.7 3
 
1.8%
2.0 3
 
1.8%
4.1 3
 
1.8%
6.2 3
 
1.8%
2.2 2
 
1.2%
Other values (127) 138
81.2%
ValueCountFrequency (%)
-492.0 1
0.6%
-444.0 1
0.6%
-374.0 1
0.6%
-222.0 1
0.6%
-181.0 1
0.6%
-4.2 1
0.6%
-4.1 1
0.6%
-4.0 1
0.6%
-3.9 1
0.6%
-0.9 1
0.6%
ValueCountFrequency (%)
24906.0 1
0.6%
21074.0 1
0.6%
17113.0 1
0.6%
6859.0 1
0.6%
3832.0 1
0.6%
2845.0 1
0.6%
2692.0 1
0.6%
2447.0 1
0.6%
2417.0 1
0.6%
2398.0 1
0.6%

2017
Real number (ℝ)

Distinct140
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean770.02294
Minimum-626
Maximum21480
Zeros1
Zeros (%)0.6%
Negative20
Negative (%)11.8%
Memory size1.6 KiB
2023-12-16T15:23:36.232320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-626
5-th percentile-29.8
Q13.55
median6.45
Q3809
95-th percentile2100.85
Maximum21480
Range22106
Interquartile range (IQR)805.45

Descriptive statistics

Standard deviation2670.0276
Coefficient of variation (CV)3.4674651
Kurtosis47.243877
Mean770.02294
Median Absolute Deviation (MAD)18.6
Skewness6.6678233
Sum130903.9
Variance7129047.6
MonotonicityNot monotonic
2023-12-16T15:23:36.934844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.2 5
 
2.9%
1.8 4
 
2.4%
4.0 4
 
2.4%
1.7 4
 
2.4%
6.1 3
 
1.8%
6.3 3
 
1.8%
5.2 3
 
1.8%
-0.2 2
 
1.2%
2.1 2
 
1.2%
4.2 2
 
1.2%
Other values (130) 138
81.2%
ValueCountFrequency (%)
-626.0 1
0.6%
-529.0 1
0.6%
-458.0 1
0.6%
-343.0 1
0.6%
-209.0 1
0.6%
-200.0 1
0.6%
-119.0 1
0.6%
-53.0 1
0.6%
-37.0 1
0.6%
-21.0 1
0.6%
ValueCountFrequency (%)
21480.0 1
0.6%
21434.0 1
0.6%
15677.0 1
0.6%
6651.0 1
0.6%
2407.0 1
0.6%
2288.0 1
0.6%
2275.0 1
0.6%
2152.0 1
0.6%
2113.0 1
0.6%
2086.0 1
0.6%

2018
Real number (ℝ)

Distinct139
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean704.86941
Minimum-3418
Maximum22570
Zeros1
Zeros (%)0.6%
Negative27
Negative (%)15.9%
Memory size1.6 KiB
2023-12-16T15:23:37.799416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3418
5-th percentile-308
Q12.3
median6.4
Q3761.25
95-th percentile1932.5
Maximum22570
Range25988
Interquartile range (IQR)758.95

Descriptive statistics

Standard deviation2615.2356
Coefficient of variation (CV)3.7102413
Kurtosis47.441579
Mean704.86941
Median Absolute Deviation (MAD)12.55
Skewness6.5756169
Sum119827.8
Variance6839457.1
MonotonicityNot monotonic
2023-12-16T15:23:38.596934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.9 5
 
2.9%
2.3 4
 
2.4%
5.6 4
 
2.4%
6.5 3
 
1.8%
6.2 3
 
1.8%
1.9 3
 
1.8%
4.5 3
 
1.8%
2.0 3
 
1.8%
4.7 2
 
1.2%
4.8 2
 
1.2%
Other values (129) 138
81.2%
ValueCountFrequency (%)
-3418.0 1
0.6%
-740.0 1
0.6%
-626.0 1
0.6%
-592.0 1
0.6%
-527.0 1
0.6%
-473.0 1
0.6%
-460.0 1
0.6%
-359.0 1
0.6%
-317.0 1
0.6%
-297.0 1
0.6%
ValueCountFrequency (%)
22570.0 1
0.6%
19152.0 1
0.6%
14781.0 1
0.6%
6678.0 1
0.6%
2478.0 1
0.6%
2381.0 1
0.6%
2145.0 1
0.6%
2084.0 1
0.6%
2018.0 1
0.6%
1828.0 1
0.6%

2019
Real number (ℝ)

Distinct138
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean644.74235
Minimum-5211
Maximum22260
Zeros1
Zeros (%)0.6%
Negative29
Negative (%)17.1%
Memory size1.6 KiB
2023-12-16T15:23:39.335867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-5211
5-th percentile-408.45
Q12.2
median6.15
Q3757.25
95-th percentile1716.1
Maximum22260
Range27471
Interquartile range (IQR)755.05

Descriptive statistics

Standard deviation2503.5506
Coefficient of variation (CV)3.8830248
Kurtosis47.378784
Mean644.74235
Median Absolute Deviation (MAD)13.25
Skewness6.4080145
Sum109606.2
Variance6267765.4
MonotonicityNot monotonic
2023-12-16T15:23:39.974007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.8 4
 
2.4%
1.9 4
 
2.4%
5.8 3
 
1.8%
1.8 3
 
1.8%
4.2 3
 
1.8%
2.2 3
 
1.8%
-1.9 2
 
1.2%
3.9 2
 
1.2%
3.7 2
 
1.2%
391.0 2
 
1.2%
Other values (128) 142
83.5%
ValueCountFrequency (%)
-5211.0 1
0.6%
-812.0 1
0.6%
-755.0 1
0.6%
-643.0 1
0.6%
-613.0 1
0.6%
-567.0 1
0.6%
-523.0 1
0.6%
-514.0 1
0.6%
-426.0 1
0.6%
-387.0 1
0.6%
ValueCountFrequency (%)
22260.0 1
0.6%
17049.0 1
0.6%
13780.0 1
0.6%
6787.0 1
0.6%
2450.0 1
0.6%
2335.0 1
0.6%
2093.0 1
0.6%
1948.0 1
0.6%
1726.0 1
0.6%
1704.0 1
0.6%

2020
Real number (ℝ)

Distinct141
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean574.87941
Minimum-7892
Maximum22950
Zeros0
Zeros (%)0.0%
Negative30
Negative (%)17.6%
Memory size1.6 KiB
2023-12-16T15:23:40.634798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-7892
5-th percentile-527.05
Q12.125
median6.1
Q3693.5
95-th percentile1722.15
Maximum22950
Range30842
Interquartile range (IQR)691.375

Descriptive statistics

Standard deviation2463.6989
Coefficient of variation (CV)4.2855926
Kurtosis50.017861
Mean574.87941
Median Absolute Deviation (MAD)51.1
Skewness6.153677
Sum97729.5
Variance6069812.4
MonotonicityNot monotonic
2023-12-16T15:23:41.300462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.9 6
 
3.5%
4.5 4
 
2.4%
3.3 3
 
1.8%
1.7 3
 
1.8%
2.2 3
 
1.8%
-3.0 3
 
1.8%
7.1 3
 
1.8%
3.6 3
 
1.8%
4.0 3
 
1.8%
2.8 2
 
1.2%
Other values (131) 137
80.6%
ValueCountFrequency (%)
-7892.0 1
0.6%
-1063.0 1
0.6%
-927.0 1
0.6%
-925.0 1
0.6%
-869.0 1
0.6%
-793.0 1
0.6%
-687.0 1
0.6%
-680.0 1
0.6%
-559.0 1
0.6%
-488.0 1
0.6%
ValueCountFrequency (%)
22950.0 1
0.6%
15058.0 1
0.6%
12128.0 1
0.6%
6497.0 1
0.6%
2531.0 1
0.6%
2287.0 1
0.6%
2254.0 1
0.6%
1791.0 1
0.6%
1728.0 1
0.6%
1715.0 1
0.6%

2021
Real number (ℝ)

Distinct133
Distinct (%)78.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean545.17353
Minimum-9085
Maximum23531
Zeros0
Zeros (%)0.0%
Negative30
Negative (%)17.6%
Memory size1.6 KiB
2023-12-16T15:23:42.125530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-9085
5-th percentile-632.55
Q12.1
median6.1
Q3650.5
95-th percentile1740.9
Maximum23531
Range32616
Interquartile range (IQR)648.4

Descriptive statistics

Standard deviation2471.8605
Coefficient of variation (CV)4.5340803
Kurtosis52.547339
Mean545.17353
Median Absolute Deviation (MAD)15.35
Skewness6.0579032
Sum92679.5
Variance6110094.5
MonotonicityNot monotonic
2023-12-16T15:23:42.919190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.4 5
 
2.9%
3.3 5
 
2.9%
6.1 4
 
2.4%
2.1 4
 
2.4%
1.8 4
 
2.4%
7.2 3
 
1.8%
1.7 3
 
1.8%
3.7 3
 
1.8%
-2.7 3
 
1.8%
1067.0 2
 
1.2%
Other values (123) 134
78.8%
ValueCountFrequency (%)
-9085.0 1
0.6%
-1076.0 1
0.6%
-1070.0 1
0.6%
-971.0 1
0.6%
-948.0 1
0.6%
-878.0 1
0.6%
-828.0 1
0.6%
-732.0 1
0.6%
-723.0 1
0.6%
-522.0 1
0.6%
ValueCountFrequency (%)
23531.0 1
0.6%
14446.0 1
0.6%
11081.0 1
0.6%
6248.0 1
0.6%
2512.0 1
0.6%
2405.0 1
0.6%
2223.0 1
0.6%
1841.0 1
0.6%
1758.0 1
0.6%
1720.0 1
0.6%

2022
Real number (ℝ)

Distinct140
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean523.81059
Minimum-13579
Maximum27713
Zeros0
Zeros (%)0.0%
Negative32
Negative (%)18.8%
Memory size1.6 KiB
2023-12-16T15:23:43.930674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-13579
5-th percentile-830.05
Q11.8
median7.3
Q3609.5
95-th percentile2039.05
Maximum27713
Range41292
Interquartile range (IQR)607.7

Descriptive statistics

Standard deviation2822.66
Coefficient of variation (CV)5.3887036
Kurtosis57.946661
Mean523.81059
Median Absolute Deviation (MAD)55.15
Skewness5.5809395
Sum89047.8
Variance7967409.3
MonotonicityNot monotonic
2023-12-16T15:23:44.605929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.9 5
 
2.9%
2.6 3
 
1.8%
4.3 3
 
1.8%
3.0 3
 
1.8%
1.8 3
 
1.8%
1.6 3
 
1.8%
1.7 3
 
1.8%
3.3 3
 
1.8%
1.4 3
 
1.8%
4.6 2
 
1.2%
Other values (130) 139
81.8%
ValueCountFrequency (%)
-13579.0 1
0.6%
-1482.0 1
0.6%
-1461.0 1
0.6%
-1370.0 1
0.6%
-1361.0 1
0.6%
-1212.0 1
0.6%
-1129.0 1
0.6%
-1116.0 1
0.6%
-862.0 1
0.6%
-791.0 1
0.6%
ValueCountFrequency (%)
27713.0 1
0.6%
14134.0 1
0.6%
10618.0 1
0.6%
5523.0 1
0.6%
2959.0 1
0.6%
2873.0 1
0.6%
2654.0 1
0.6%
2112.0 1
0.6%
2044.0 1
0.6%
2033.0 1
0.6%

Sample

행정구역별항목20002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022
0부산광역시출생건수 (명)41222.035848.030767.030117.028231.025681.025881.028426.026670.025110.027415.027759.028673.025831.026190.026645.024906.021480.019152.017049.015058.014446.014134.0
1부산광역시조출생률 (천명당)10.89.58.28.17.77.07.17.97.57.17.87.98.27.47.57.77.26.25.65.04.54.34.3
2부산광역시사망건수 (명)18318.018422.018688.018528.018722.018854.018983.019170.019385.018954.019708.019643.020534.020096.020230.020820.021074.021434.022570.022260.022950.023531.027713.0
3부산광역시조사망률 (천명당)4.84.95.05.05.15.25.25.35.45.35.65.65.95.85.86.06.16.26.66.66.87.08.4
4부산광역시자연증가건수 (명)22904.017426.012079.011589.09509.06827.06898.09256.07285.06156.07707.08116.08139.05735.05960.05825.03832.046.0-3418.0-5211.0-7892.0-9085.0-13579.0
5부산광역시자연증가율 (천명당)6.04.63.23.12.61.91.92.62.01.72.22.32.31.61.71.71.10.0-1.0-1.5-2.3-2.7-4.1
6부산광역시혼인건수 (건)23343.021825.020916.020027.019898.018973.020017.021484.020149.018614.020195.020224.020362.020734.018927.018553.017113.015677.014781.013780.012128.011081.010618.0
7부산광역시조혼인율 (천명당)6.15.85.65.45.45.25.56.05.65.25.75.85.85.95.45.34.94.54.34.13.63.33.2
8부산광역시이혼건수 (건)10129.010489.012065.014120.011334.09905.08953.08677.07908.08550.07645.07514.07501.07444.07345.06649.06859.06651.06678.06787.06497.06248.05523.0
9부산광역시조이혼율 (천명당)2.72.83.23.83.12.72.52.42.22.42.22.12.12.12.11.92.01.92.02.01.91.91.7
행정구역별항목20002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022
160기장군출생건수 (명)820.0738.0703.0705.0713.0694.0623.0620.0637.0682.01077.01165.01429.01503.01924.01963.01960.01636.01368.01208.01144.01076.01035.0
161기장군조출생률 (천명당)11.09.89.29.29.18.77.87.87.98.011.311.112.912.214.013.212.610.38.47.46.86.15.8
162기장군사망건수 (명)507.0530.0531.0497.0585.0573.0563.0570.0594.0596.0625.0610.0718.0754.0800.0866.0853.0967.0990.0982.01039.01067.01277.0
163기장군조사망률 (천명당)6.87.07.06.57.47.27.17.27.47.06.55.86.56.15.85.85.56.16.16.06.26.17.2
164기장군자연증가건수 (명)313.0208.0172.0208.0128.0121.060.050.043.086.0452.0555.0711.0749.01124.01097.01107.0669.0378.0226.0105.09.0-242.0
165기장군자연증가율 (천명당)4.22.82.32.71.61.50.80.60.51.04.75.36.46.18.27.47.14.22.31.40.60.1-1.4
166기장군혼인건수 (건)438.0424.0474.0429.0436.0451.0427.0501.0485.0607.0749.0682.0796.0964.01054.01058.0982.0832.0772.0746.0739.0653.0699.0
167기장군조혼인율 (천명당)5.95.66.25.65.55.65.46.36.07.17.86.57.27.97.67.16.35.24.84.64.43.73.9
168기장군이혼건수 (건)199.0257.0197.0294.0299.0263.0217.0202.0225.0232.0259.0270.0256.0298.0315.0295.0337.0374.0381.0400.0375.0376.0363.0
169기장군조이혼율 (천명당)2.73.42.63.83.83.32.72.52.82.72.72.62.32.42.32.02.22.32.32.42.22.12.0