Overview

Dataset statistics

Number of variables4
Number of observations155
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory35.9 B

Variable types

Categorical2
Numeric2

Dataset

Description청각장애인 인공달팽이관 재활지원 집계현황
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=Q1T1I2DBF712PVTZRFIV26105152&infSeq=1

Alerts

지원인원수(명) is highly overall correlated with 지원금액(원)High correlation
지원금액(원) is highly overall correlated with 지원인원수(명)High correlation
지원인원수(명) has 71 (45.8%) zerosZeros
지원금액(원) has 71 (45.8%) zerosZeros

Reproduction

Analysis started2024-03-12 23:14:07.501642
Analysis finished2024-03-12 23:14:08.016793
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Categorical

Distinct5
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2022
31 
2021
31 
2020
31 
2019
31 
2018
31 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 31
20.0%
2021 31
20.0%
2020 31
20.0%
2019 31
20.0%
2018 31
20.0%

Length

2024-03-13T08:14:08.063610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T08:14:08.149791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 31
20.0%
2021 31
20.0%
2020 31
20.0%
2019 31
20.0%
2018 31
20.0%

시군명
Categorical

Distinct31
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
가평군
 
5
고양시
 
5
과천시
 
5
광명시
 
5
광주시
 
5
Other values (26)
130 

Length

Max length4
Median length3
Mean length3.0967742
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가평군 5
 
3.2%
고양시 5
 
3.2%
과천시 5
 
3.2%
광명시 5
 
3.2%
광주시 5
 
3.2%
구리시 5
 
3.2%
군포시 5
 
3.2%
김포시 5
 
3.2%
남양주시 5
 
3.2%
동두천시 5
 
3.2%
Other values (21) 105
67.7%

Length

2024-03-13T08:14:08.238315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
가평군 5
 
3.2%
안양시 5
 
3.2%
하남시 5
 
3.2%
포천시 5
 
3.2%
평택시 5
 
3.2%
파주시 5
 
3.2%
이천시 5
 
3.2%
의정부시 5
 
3.2%
의왕시 5
 
3.2%
용인시 5
 
3.2%
Other values (21) 105
67.7%

지원인원수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct7
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1032258
Minimum0
Maximum6
Zeros71
Zeros (%)45.8%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-13T08:14:08.313918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.3249562
Coefficient of variation (CV)1.2009837
Kurtosis0.75375626
Mean1.1032258
Median Absolute Deviation (MAD)1
Skewness1.1655389
Sum171
Variance1.755509
MonotonicityNot monotonic
2024-03-13T08:14:08.392134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 71
45.8%
1 36
23.2%
2 23
 
14.8%
3 14
 
9.0%
4 9
 
5.8%
5 1
 
0.6%
6 1
 
0.6%
ValueCountFrequency (%)
0 71
45.8%
1 36
23.2%
2 23
 
14.8%
3 14
 
9.0%
4 9
 
5.8%
5 1
 
0.6%
6 1
 
0.6%
ValueCountFrequency (%)
6 1
 
0.6%
5 1
 
0.6%
4 9
 
5.8%
3 14
 
9.0%
2 23
 
14.8%
1 36
23.2%
0 71
45.8%

지원금액(원)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct51
Distinct (%)32.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2758285.2
Minimum0
Maximum12670900
Zeros71
Zeros (%)45.8%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-13T08:14:08.491012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2220000
Q34845950
95-th percentile9034980
Maximum12670900
Range12670900
Interquartile range (IQR)4845950

Descriptive statistics

Standard deviation3268282.7
Coefficient of variation (CV)1.1848966
Kurtosis0.20103657
Mean2758285.2
Median Absolute Deviation (MAD)2220000
Skewness1.0546281
Sum4.275342 × 108
Variance1.0681672 × 1013
MonotonicityNot monotonic
2024-03-13T08:14:08.603367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71
45.8%
3000000 23
 
14.8%
6000000 10
 
6.5%
9000000 4
 
2.6%
2966500 1
 
0.6%
8980120 1
 
0.6%
7429540 1
 
0.6%
2000000 1
 
0.6%
4675900 1
 
0.6%
5474600 1
 
0.6%
Other values (41) 41
26.5%
ValueCountFrequency (%)
0 71
45.8%
836960 1
 
0.6%
1380000 1
 
0.6%
1463300 1
 
0.6%
1918300 1
 
0.6%
2000000 1
 
0.6%
2050400 1
 
0.6%
2220000 1
 
0.6%
2417900 1
 
0.6%
2772500 1
 
0.6%
ValueCountFrequency (%)
12670900 1
 
0.6%
11636780 1
 
0.6%
11475300 1
 
0.6%
10945120 1
 
0.6%
10719000 1
 
0.6%
9422930 1
 
0.6%
9196160 1
 
0.6%
9116600 1
 
0.6%
9000000 4
2.6%
8980120 1
 
0.6%

Interactions

2024-03-13T08:14:07.752817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:14:07.613646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:14:07.833817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:14:07.677671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T08:14:08.672189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도시군명지원인원수(명)지원금액(원)
기준년도1.0000.0000.0000.000
시군명0.0001.0000.7520.673
지원인원수(명)0.0000.7521.0000.886
지원금액(원)0.0000.6730.8861.000
2024-03-13T08:14:08.746563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도시군명
기준년도1.0000.000
시군명0.0001.000
2024-03-13T08:14:08.826055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지원인원수(명)지원금액(원)기준년도시군명
지원인원수(명)1.0000.9680.0000.396
지원금액(원)0.9681.0000.0000.283
기준년도0.0000.0001.0000.000
시군명0.3960.2830.0001.000

Missing values

2024-03-13T08:14:07.928246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T08:14:07.991513image/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

기준년도시군명지원인원수(명)지원금액(원)
02022가평군00
12022고양시31918300
22022과천시00
32022광명시39000000
42022광주시00
52022구리시00
62022군포시13000000
72022김포시13000000
82022남양주시26000000
92022동두천시00
기준년도시군명지원인원수(명)지원금액(원)
1452018오산시00
1462018용인시25880000
1472018의왕시00
1482018의정부시39000000
1492018이천시00
1502018파주시13000000
1512018평택시00
1522018포천시25419600
1532018하남시39000000
1542018화성시13000000