Overview

Dataset statistics

Number of variables3
Number of observations382
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.8 KiB
Average record size in memory26.3 B

Variable types

Numeric2
Categorical1

Reproduction

Analysis started2023-12-10 22:15:07.811225
Analysis finished2023-12-10 22:15:08.669385
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

집계년도
Real number (ℝ)

Distinct12
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2017.4974
Minimum2012
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-11T07:15:08.735266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2012
5-th percentile2012
Q12015
median2017.5
Q32020
95-th percentile2023
Maximum2023
Range11
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.4464396
Coefficient of variation (CV)0.0017082746
Kurtosis-1.2111135
Mean2017.4974
Median Absolute Deviation (MAD)2.5
Skewness-0.0025593903
Sum770684
Variance11.877946
MonotonicityDecreasing
2023-12-11T07:15:08.852013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2022 32
8.4%
2021 32
8.4%
2020 32
8.4%
2019 32
8.4%
2018 32
8.4%
2017 32
8.4%
2016 32
8.4%
2015 32
8.4%
2014 32
8.4%
2012 32
8.4%
Other values (2) 62
16.2%
ValueCountFrequency (%)
2012 32
8.4%
2013 31
8.1%
2014 32
8.4%
2015 32
8.4%
2016 32
8.4%
2017 32
8.4%
2018 32
8.4%
2019 32
8.4%
2020 32
8.4%
2021 32
8.4%
ValueCountFrequency (%)
2023 31
8.1%
2022 32
8.4%
2021 32
8.4%
2020 32
8.4%
2019 32
8.4%
2018 32
8.4%
2017 32
8.4%
2016 32
8.4%
2015 32
8.4%
2014 32
8.4%

시군명
Categorical

Distinct33
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
가평군
 
12
고양시
 
12
시흥시
 
12
수원시
 
12
성남시
 
12
Other values (28)
322 

Length

Max length4
Median length3
Mean length3.065445
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row가평군
2nd row고양시
3rd row과천시
4th row광명시
5th row광주시

Common Values

ValueCountFrequency (%)
가평군 12
 
3.1%
고양시 12
 
3.1%
시흥시 12
 
3.1%
수원시 12
 
3.1%
성남시 12
 
3.1%
부천시 12
 
3.1%
동두천시 12
 
3.1%
남양주시 12
 
3.1%
김포시 12
 
3.1%
군포시 12
 
3.1%
Other values (23) 262
68.6%

Length

2023-12-11T07:15:09.008852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
가평군 12
 
3.1%
고양시 12
 
3.1%
양평군 12
 
3.1%
연천군 12
 
3.1%
오산시 12
 
3.1%
용인시 12
 
3.1%
의왕시 12
 
3.1%
의정부시 12
 
3.1%
이천시 12
 
3.1%
파주시 12
 
3.1%
Other values (23) 262
68.6%

재정자립도(%)
Real number (ℝ)

Distinct353
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.543403
Minimum13.1
Maximum72.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-11T07:15:09.160162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13.1
5-th percentile20.5
Q131.6925
median42.785
Q351.2075
95-th percentile61.6535
Maximum72.22
Range59.12
Interquartile range (IQR)19.515

Descriptive statistics

Standard deviation12.886084
Coefficient of variation (CV)0.31018363
Kurtosis-0.81509142
Mean41.543403
Median Absolute Deviation (MAD)9.92
Skewness-0.096285311
Sum15869.58
Variance166.05115
MonotonicityNot monotonic
2023-12-11T07:15:09.306253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.5 3
 
0.8%
46.17 3
 
0.8%
33.9 3
 
0.8%
54.74 2
 
0.5%
32.7 2
 
0.5%
45.59 2
 
0.5%
45.7 2
 
0.5%
22.1 2
 
0.5%
37.8 2
 
0.5%
22.6 2
 
0.5%
Other values (343) 359
94.0%
ValueCountFrequency (%)
13.1 1
0.3%
13.9 1
0.3%
14.4 2
0.5%
14.5 1
0.3%
15.0 1
0.3%
16.8 2
0.5%
17.7 1
0.3%
18.0 1
0.3%
18.3 2
0.5%
18.48 1
0.3%
ValueCountFrequency (%)
72.22 1
0.3%
68.86 1
0.3%
67.34 1
0.3%
66.3 1
0.3%
65.21 1
0.3%
64.58 1
0.3%
64.27 1
0.3%
64.25 1
0.3%
64.21 1
0.3%
63.79 1
0.3%

Interactions

2023-12-11T07:15:08.099900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:15:07.920077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:15:08.185088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:15:08.014781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:15:09.414277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
집계년도시군명재정자립도(%)
집계년도1.0000.0000.344
시군명0.0001.0000.833
재정자립도(%)0.3440.8331.000
2023-12-11T07:15:09.522501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
집계년도재정자립도(%)시군명
집계년도1.000-0.3450.000
재정자립도(%)-0.3451.0000.463
시군명0.0000.4631.000

Missing values

2023-12-11T07:15:08.568151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:15:08.637074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

집계년도시군명재정자립도(%)
02023가평군20.5
12023고양시32.7
22023과천시45.3
32023광명시36.0
42023광주시36.6
52023구리시28.4
62023군포시32.7
72023김포시37.2
82023남양주시30.6
92023동두천시13.9
집계년도시군명재정자립도(%)
3722012오산시46.13
3732012용인시60.76
3742012의왕시47.62
3752012의정부시37.94
3762012이천시42.88
3772012파주시47.74
3782012평택시53.5
3792012포천시28.65
3802012하남시49.5
3812012화성시58.75