Overview

Dataset statistics

Number of variables7
Number of observations341
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.4 KiB
Average record size in memory61.4 B

Variable types

Numeric5
Categorical2

Dataset

Description장애인일자리사업 사업유형별 집계현황
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=30DI2CM94AVD0M3MOKRU26189272&infSeq=1

Alerts

총계(명) is highly overall correlated with 복지일자리인원수(명) and 2 other fieldsHigh correlation
복지일자리인원수(명) is highly overall correlated with 총계(명) and 2 other fieldsHigh correlation
일반형일자리인원수(명) is highly overall correlated with 총계(명) and 2 other fieldsHigh correlation
시간제일자리인원수(명) is highly overall correlated with 총계(명) and 2 other fieldsHigh correlation

Reproduction

Analysis started2024-04-29 12:57:52.892277
Analysis finished2024-04-29 12:57:57.079691
Duration4.19 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Real number (ℝ)

Distinct7
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2020.9091
Minimum2017
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-29T21:57:57.130652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2017
5-th percentile2017
Q12019
median2022
Q32023
95-th percentile2023
Maximum2023
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.0235247
Coefficient of variation (CV)0.0010012943
Kurtosis-0.91959264
Mean2020.9091
Median Absolute Deviation (MAD)1
Skewness-0.67237857
Sum689130
Variance4.0946524
MonotonicityDecreasing
2024-04-29T21:57:57.220482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2023 93
27.3%
2022 93
27.3%
2021 31
 
9.1%
2020 31
 
9.1%
2019 31
 
9.1%
2018 31
 
9.1%
2017 31
 
9.1%
ValueCountFrequency (%)
2017 31
 
9.1%
2018 31
 
9.1%
2019 31
 
9.1%
2020 31
 
9.1%
2021 31
 
9.1%
2022 93
27.3%
2023 93
27.3%
ValueCountFrequency (%)
2023 93
27.3%
2022 93
27.3%
2021 31
 
9.1%
2020 31
 
9.1%
2019 31
 
9.1%
2018 31
 
9.1%
2017 31
 
9.1%

시군명
Categorical

Distinct31
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
가평군
 
11
고양시
 
11
과천시
 
11
광명시
 
11
광주시
 
11
Other values (26)
286 

Length

Max length4
Median length3
Mean length3.0967742
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가평군
2nd row가평군
3rd row가평군
4th row고양시
5th row고양시

Common Values

ValueCountFrequency (%)
가평군 11
 
3.2%
고양시 11
 
3.2%
과천시 11
 
3.2%
광명시 11
 
3.2%
광주시 11
 
3.2%
구리시 11
 
3.2%
군포시 11
 
3.2%
김포시 11
 
3.2%
남양주시 11
 
3.2%
동두천시 11
 
3.2%
Other values (21) 231
67.7%

Length

2024-04-29T21:57:57.330705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
가평군 11
 
3.2%
안양시 11
 
3.2%
하남시 11
 
3.2%
포천시 11
 
3.2%
평택시 11
 
3.2%
파주시 11
 
3.2%
이천시 11
 
3.2%
의정부시 11
 
3.2%
의왕시 11
 
3.2%
용인시 11
 
3.2%
Other values (21) 231
67.7%

성별
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
총계
217 
여성
62 
남성
62 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row총계
2nd row여성
3rd row남성
4th row여성
5th row총계

Common Values

ValueCountFrequency (%)
총계 217
63.6%
여성 62
 
18.2%
남성 62
 
18.2%

Length

2024-04-29T21:57:57.437832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:57:57.538014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
총계 217
63.6%
여성 62
 
18.2%
남성 62
 
18.2%

총계(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct149
Distinct (%)43.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.56305
Minimum18
Maximum272
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-29T21:57:57.654783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile34
Q156
median81
Q3122
95-th percentile205
Maximum272
Range254
Interquartile range (IQR)66

Descriptive statistics

Standard deviation51.964917
Coefficient of variation (CV)0.54952666
Kurtosis1.0061199
Mean94.56305
Median Absolute Deviation (MAD)29
Skewness1.1504627
Sum32246
Variance2700.3526
MonotonicityNot monotonic
2024-04-29T21:57:57.945035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55 9
 
2.6%
87 8
 
2.3%
76 8
 
2.3%
35 8
 
2.3%
81 7
 
2.1%
71 7
 
2.1%
75 6
 
1.8%
48 6
 
1.8%
46 5
 
1.5%
44 5
 
1.5%
Other values (139) 272
79.8%
ValueCountFrequency (%)
18 1
0.3%
20 1
0.3%
22 1
0.3%
24 1
0.3%
25 2
0.6%
26 2
0.6%
27 1
0.3%
28 1
0.3%
29 2
0.6%
31 1
0.3%
ValueCountFrequency (%)
272 1
0.3%
262 1
0.3%
258 1
0.3%
249 2
0.6%
242 1
0.3%
236 1
0.3%
231 1
0.3%
229 1
0.3%
227 2
0.6%
226 2
0.6%

복지일자리인원수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct103
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.938416
Minimum7
Maximum155
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-29T21:57:58.075406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile17
Q131
median47
Q367
95-th percentile106
Maximum155
Range148
Interquartile range (IQR)36

Descriptive statistics

Standard deviation27.730197
Coefficient of variation (CV)0.53390533
Kurtosis0.67631805
Mean51.938416
Median Absolute Deviation (MAD)17
Skewness0.93103177
Sum17711
Variance768.96384
MonotonicityNot monotonic
2024-04-29T21:57:58.211781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54 11
 
3.2%
51 10
 
2.9%
49 10
 
2.9%
29 10
 
2.9%
41 9
 
2.6%
24 8
 
2.3%
37 7
 
2.1%
35 7
 
2.1%
52 7
 
2.1%
46 7
 
2.1%
Other values (93) 255
74.8%
ValueCountFrequency (%)
7 1
 
0.3%
9 4
1.2%
10 2
 
0.6%
12 3
0.9%
13 1
 
0.3%
14 2
 
0.6%
15 1
 
0.3%
16 3
0.9%
17 5
1.5%
18 3
0.9%
ValueCountFrequency (%)
155 1
0.3%
148 1
0.3%
143 1
0.3%
129 2
0.6%
122 1
0.3%
121 1
0.3%
118 1
0.3%
117 1
0.3%
116 1
0.3%
112 2
0.6%

일반형일자리인원수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct73
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.249267
Minimum2
Maximum151
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-29T21:57:58.357790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile10
Q117
median26
Q339
95-th percentile68
Maximum151
Range149
Interquartile range (IQR)22

Descriptive statistics

Standard deviation19.912589
Coefficient of variation (CV)0.63721781
Kurtosis5.4187585
Mean31.249267
Median Absolute Deviation (MAD)11
Skewness1.8346832
Sum10656
Variance396.51121
MonotonicityNot monotonic
2024-04-29T21:57:58.497020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21 14
 
4.1%
26 13
 
3.8%
13 12
 
3.5%
14 12
 
3.5%
15 11
 
3.2%
20 11
 
3.2%
24 11
 
3.2%
36 10
 
2.9%
11 10
 
2.9%
25 10
 
2.9%
Other values (63) 227
66.6%
ValueCountFrequency (%)
2 1
 
0.3%
6 2
 
0.6%
7 1
 
0.3%
8 5
1.5%
9 5
1.5%
10 6
1.8%
11 10
2.9%
12 6
1.8%
13 12
3.5%
14 12
3.5%
ValueCountFrequency (%)
151 1
0.3%
115 1
0.3%
113 1
0.3%
100 1
0.3%
99 1
0.3%
98 1
0.3%
84 1
0.3%
82 1
0.3%
80 2
0.6%
78 1
0.3%

시간제일자리인원수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct40
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.375367
Minimum0
Maximum48
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-29T21:57:58.635112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q15
median9
Q314
95-th percentile29
Maximum48
Range48
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.6833094
Coefficient of variation (CV)0.76334326
Kurtosis3.1340694
Mean11.375367
Median Absolute Deviation (MAD)4
Skewness1.7160619
Sum3879
Variance75.399862
MonotonicityNot monotonic
2024-04-29T21:57:58.784480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
5 33
 
9.7%
7 28
 
8.2%
10 26
 
7.6%
6 25
 
7.3%
4 22
 
6.5%
11 21
 
6.2%
12 21
 
6.2%
3 19
 
5.6%
9 18
 
5.3%
8 13
 
3.8%
Other values (30) 115
33.7%
ValueCountFrequency (%)
0 1
 
0.3%
1 3
 
0.9%
2 12
 
3.5%
3 19
5.6%
4 22
6.5%
5 33
9.7%
6 25
7.3%
7 28
8.2%
8 13
 
3.8%
9 18
5.3%
ValueCountFrequency (%)
48 1
 
0.3%
42 2
0.6%
41 3
0.9%
40 4
1.2%
37 1
 
0.3%
36 1
 
0.3%
34 1
 
0.3%
33 1
 
0.3%
32 1
 
0.3%
30 1
 
0.3%

Interactions

2024-04-29T21:57:56.415824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:57:54.476197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:57:55.086040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:57:55.493840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:57:55.959277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:57:56.510349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:57:54.619739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:57:55.168876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:57:55.593251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:57:56.044829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:57:56.599534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:57:54.823375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:57:55.239292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:57:55.680721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:57:56.124199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:57:56.702266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:57:54.912003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:57:55.324234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:57:55.779580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:57:56.220216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:57:56.797001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:57:55.004782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:57:55.403219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:57:55.871296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:57:56.313754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-29T21:57:58.877601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도시군명성별총계(명)복지일자리인원수(명)일반형일자리인원수(명)시간제일자리인원수(명)
기준년도1.0000.0000.7790.2880.2270.3270.042
시군명0.0001.0000.0000.6700.7110.6680.749
성별0.7790.0001.0000.4460.4770.5580.238
총계(명)0.2880.6700.4461.0000.9350.8000.871
복지일자리인원수(명)0.2270.7110.4770.9351.0000.6860.849
일반형일자리인원수(명)0.3270.6680.5580.8000.6861.0000.689
시간제일자리인원수(명)0.0420.7490.2380.8710.8490.6891.000
2024-04-29T21:57:58.973237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명성별
시군명1.0000.000
성별0.0001.000
2024-04-29T21:57:59.055650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도총계(명)복지일자리인원수(명)일반형일자리인원수(명)시간제일자리인원수(명)시군명성별
기준년도1.000-0.060-0.065-0.1130.1010.0000.471
총계(명)-0.0601.0000.9520.9200.8350.2960.297
복지일자리인원수(명)-0.0650.9521.0000.7820.6980.3250.327
일반형일자리인원수(명)-0.1130.9200.7821.0000.8100.3090.292
시간제일자리인원수(명)0.1010.8350.6980.8101.0000.3600.143
시군명0.0000.2960.3250.3090.3601.0000.000
성별0.4710.2970.3270.2920.1430.0001.000

Missing values

2024-04-29T21:57:56.912179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-29T21:57:57.031437image/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

기준년도시군명성별총계(명)복지일자리인원수(명)일반형일자리인원수(명)시간제일자리인원수(명)
02023가평군총계5640124
12023가평군여성251663
22023가평군남성312461
32023고양시여성100483121
42023고양시총계2261166941
52023고양시남성126683820
62023과천시총계7652204
72023과천시여성3525100
82023과천시남성4127104
92023광명시총계150844620
기준년도시군명성별총계(명)복지일자리인원수(명)일반형일자리인원수(명)시간제일자리인원수(명)
3312017오산시총계5528225
3322017용인시총계144794916
3332017의왕시총계4627154
3342017의정부시총계9249349
3352017이천시총계8354227
3362017파주시총계7541268
3372017평택시총계9146369
3382017포천시총계4822206
3392017하남시총계8151246
3402017화성시총계97493810