Overview

Dataset statistics

Number of variables6
Number of observations155
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.2 KiB
Average record size in memory53.9 B

Variable types

Categorical2
Numeric4

Dataset

Description청각장애인 인공달팽이관 수술지원 집계현황
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=AUGQOYO4S57EYV5BE33A26091320&infSeq=1

Alerts

지원인원수(명) is highly overall correlated with 합계지원금액(원) and 2 other fieldsHigh correlation
합계지원금액(원) is highly overall correlated with 지원인원수(명) and 2 other fieldsHigh correlation
수술비지원금액(원) is highly overall correlated with 지원인원수(명) and 2 other fieldsHigh correlation
재활치료비지원금액(원) is highly overall correlated with 지원인원수(명) and 2 other fieldsHigh correlation
지원인원수(명) has 107 (69.0%) zerosZeros
합계지원금액(원) has 107 (69.0%) zerosZeros
수술비지원금액(원) has 107 (69.0%) zerosZeros
재활치료비지원금액(원) has 114 (73.5%) zerosZeros

Reproduction

Analysis started2024-03-12 23:14:36.214889
Analysis finished2024-03-12 23:14:37.635420
Duration1.42 second
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

2024-03-13T08:14:37.682234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T08:14:37.765162image/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

2024-03-13T08:14:37.855801image/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 

Distinct6
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.49032258
Minimum0
Maximum6
Zeros107
Zeros (%)69.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-13T08:14:37.931158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.94228061
Coefficient of variation (CV)1.9217565
Kurtosis10.545257
Mean0.49032258
Median Absolute Deviation (MAD)0
Skewness2.8352956
Sum76
Variance0.88789275
MonotonicityNot monotonic
2024-03-13T08:14:38.008021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 107
69.0%
1 32
 
20.6%
2 9
 
5.8%
3 5
 
3.2%
6 1
 
0.6%
5 1
 
0.6%
ValueCountFrequency (%)
0 107
69.0%
1 32
 
20.6%
2 9
 
5.8%
3 5
 
3.2%
5 1
 
0.6%
6 1
 
0.6%
ValueCountFrequency (%)
6 1
 
0.6%
5 1
 
0.6%
3 5
 
3.2%
2 9
 
5.8%
1 32
 
20.6%
0 107
69.0%

합계지원금액(원)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct39
Distinct (%)25.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2570229.5
Minimum0
Maximum36000000
Zeros107
Zeros (%)69.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-13T08:14:38.099194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34946510
95-th percentile11483523
Maximum36000000
Range36000000
Interquartile range (IQR)4946510

Descriptive statistics

Standard deviation5100058.4
Coefficient of variation (CV)1.9842813
Kurtosis14.75692
Mean2570229.5
Median Absolute Deviation (MAD)0
Skewness3.2465903
Sum3.9838557 × 108
Variance2.6010595 × 1013
MonotonicityNot monotonic
2024-03-13T08:14:38.224891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 107
69.0%
6000000 10
 
6.5%
12000000 2
 
1.3%
10220090 1
 
0.6%
18000000 1
 
0.6%
5481830 1
 
0.6%
5990440 1
 
0.6%
3655650 1
 
0.6%
4637930 1
 
0.6%
36000000 1
 
0.6%
Other values (29) 29
 
18.7%
ValueCountFrequency (%)
0 107
69.0%
2684670 1
 
0.6%
3023410 1
 
0.6%
3065930 1
 
0.6%
3655650 1
 
0.6%
3656500 1
 
0.6%
4637930 1
 
0.6%
4646780 1
 
0.6%
4884590 1
 
0.6%
4929010 1
 
0.6%
ValueCountFrequency (%)
36000000 1
0.6%
27029230 1
0.6%
18000000 1
0.6%
16323830 1
0.6%
15439660 1
0.6%
12000000 2
1.3%
11879800 1
0.6%
11313690 1
0.6%
10948490 1
0.6%
10701510 1
0.6%

수술비지원금액(원)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct48
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1645732.1
Minimum0
Maximum29766310
Zeros107
Zeros (%)69.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-13T08:14:38.352849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32644665
95-th percentile7981712
Maximum29766310
Range29766310
Interquartile range (IQR)2644665

Descriptive statistics

Standard deviation3540403.2
Coefficient of variation (CV)2.1512633
Kurtosis26.714854
Mean1645732.1
Median Absolute Deviation (MAD)0
Skewness4.2226454
Sum2.5508848 × 108
Variance1.2534455 × 1013
MonotonicityNot monotonic
2024-03-13T08:14:38.468458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 107
69.0%
6000000 2
 
1.3%
5676290 1
 
0.6%
3157060 1
 
0.6%
10502750 1
 
0.6%
2783030 1
 
0.6%
5307440 1
 
0.6%
2536450 1
 
0.6%
4637930 1
 
0.6%
4475740 1
 
0.6%
Other values (38) 38
 
24.5%
ValueCountFrequency (%)
0 107
69.0%
746050 1
 
0.6%
1554620 1
 
0.6%
1669320 1
 
0.6%
1789510 1
 
0.6%
1829880 1
 
0.6%
1948860 1
 
0.6%
2536450 1
 
0.6%
2604590 1
 
0.6%
2604660 1
 
0.6%
ValueCountFrequency (%)
29766310 1
0.6%
15926950 1
0.6%
10502750 1
0.6%
9520210 1
0.6%
8737120 1
0.6%
8520010 1
0.6%
8397200 1
0.6%
8381510 1
0.6%
7810370 1
0.6%
7364310 1
0.6%

재활치료비지원금액(원)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct42
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean924497.35
Minimum0
Maximum11102280
Zeros114
Zeros (%)73.5%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-13T08:14:38.575013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3591665
95-th percentile4844270
Maximum11102280
Range11102280
Interquartile range (IQR)591665

Descriptive statistics

Standard deviation1929356.5
Coefficient of variation (CV)2.0869248
Kurtosis7.3245268
Mean924497.35
Median Absolute Deviation (MAD)0
Skewness2.5557553
Sum1.4329709 × 108
Variance3.7224164 × 1012
MonotonicityNot monotonic
2024-03-13T08:14:38.680030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 114
73.5%
4543800 1
 
0.6%
2675000 1
 
0.6%
7497250 1
 
0.6%
2698800 1
 
0.6%
683000 1
 
0.6%
1119200 1
 
0.6%
1524260 1
 
0.6%
4330680 1
 
0.6%
6233690 1
 
0.6%
Other values (32) 32
 
20.6%
ValueCountFrequency (%)
0 114
73.5%
120000 1
 
0.6%
500330 1
 
0.6%
683000 1
 
0.6%
1119200 1
 
0.6%
1375000 1
 
0.6%
1500000 1
 
0.6%
1522000 1
 
0.6%
1524260 1
 
0.6%
1974550 1
 
0.6%
ValueCountFrequency (%)
11102280 1
0.6%
8959520 1
0.6%
7497250 1
0.6%
6511250 1
0.6%
6233690 1
0.6%
5919450 1
0.6%
5897430 1
0.6%
5180900 1
0.6%
4700000 1
0.6%
4543800 1
0.6%

Interactions

2024-03-13T08:14:37.230910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:14:36.406669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:14:36.675180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:14:36.947225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:14:37.304071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:14:36.471685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:14:36.743219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:14:37.014380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:14:37.373915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:14:36.538248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:14:36.813179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:14:37.085662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:14:37.438738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:14:36.605458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:14:36.881162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:14:37.158852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T08:14:38.749634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도시군명지원인원수(명)합계지원금액(원)수술비지원금액(원)재활치료비지원금액(원)
기준년도1.0000.0000.0180.1160.1080.167
시군명0.0001.0000.4520.3600.3490.345
지원인원수(명)0.0180.4521.0000.9670.9850.898
합계지원금액(원)0.1160.3600.9671.0000.9230.869
수술비지원금액(원)0.1080.3490.9850.9231.0000.878
재활치료비지원금액(원)0.1670.3450.8980.8690.8781.000
2024-03-13T08:14:38.827183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도시군명
기준년도1.0000.000
시군명0.0001.000
2024-03-13T08:14:38.896379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지원인원수(명)합계지원금액(원)수술비지원금액(원)재활치료비지원금액(원)기준년도시군명
지원인원수(명)1.0000.9930.9920.9030.0000.194
합계지원금액(원)0.9931.0000.9880.9170.0720.140
수술비지원금액(원)0.9920.9881.0000.8690.0710.142
재활치료비지원금액(원)0.9030.9170.8691.0000.0940.120
기준년도0.0000.0720.0710.0941.0000.000
시군명0.1940.1400.1420.1200.0001.000

Missing values

2024-03-13T08:14:37.522909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T08:14:37.602927image/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)합계지원금액(원)수술비지원금액(원)재활치료비지원금액(원)
02022가평군0000
12022고양시0000
22022과천시1268467026846700
32022광명시0000
42022광주시0000
52022구리시0000
62022군포시0000
72022김포시0000
82022남양주시31025912087371201522000
92022동두천시0000
기준년도시군명지원인원수(명)합계지원금액(원)수술비지원금액(원)재활치료비지원금액(원)
1452018오산시0000
1462018용인시21070151083815102320000
1472018의왕시0000
1482018의정부시0000
1492018이천시1554024055402400
1502018파주시0000
1512018평택시159269507460505180900
1522018포천시0000
1532018하남시0000
1542018화성시1488459026045902280000