Overview

Dataset statistics

Number of variables14
Number of observations186
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.8 KiB
Average record size in memory125.7 B

Variable types

Numeric10
Categorical4

Dataset

Description장애인 의료비 지원 집계현황
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=UMCE72UV2E6NQ3KF8LC726025907&infSeq=1

Alerts

조제진료실인원수(명) has constant value ""Constant
조제진료건수(건) has constant value ""Constant
조제장애인의료비(원) has constant value ""Constant
기준년도 is highly overall correlated with 입원장애인의료비(원) and 1 other fieldsHigh correlation
전체진료실인원수(명) is highly overall correlated with 전체진료건수(건) and 4 other fieldsHigh correlation
전체진료건수(건) is highly overall correlated with 전체진료실인원수(명) and 4 other fieldsHigh correlation
입원진료실인원수(명) is highly overall correlated with 전체진료실인원수(명) and 4 other fieldsHigh correlation
입원진료건수(건) is highly overall correlated with 전체진료실인원수(명) and 4 other fieldsHigh correlation
입원장애인의료비(원) is highly overall correlated with 기준년도 and 1 other fieldsHigh correlation
외래진료실인원수(명) is highly overall correlated with 전체진료실인원수(명) and 5 other fieldsHigh correlation
외래진료건수(건) is highly overall correlated with 전체진료실인원수(명) and 4 other fieldsHigh correlation
외래장애인의료비(원) is highly overall correlated with 기준년도 and 1 other fieldsHigh correlation
시군명 is highly overall correlated with 외래진료실인원수(명)High correlation
전체장애인의료비(원) has unique valuesUnique
전체진료실인원수(명) has 62 (33.3%) zerosZeros
전체진료건수(건) has 62 (33.3%) zerosZeros
입원진료실인원수(명) has 62 (33.3%) zerosZeros
입원진료건수(건) has 62 (33.3%) zerosZeros
입원장애인의료비(원) has 155 (83.3%) zerosZeros
외래진료실인원수(명) has 62 (33.3%) zerosZeros
외래진료건수(건) has 62 (33.3%) zerosZeros
외래장애인의료비(원) has 155 (83.3%) zerosZeros

Reproduction

Analysis started2023-12-10 21:33:29.367964
Analysis finished2023-12-10 21:33:40.151814
Duration10.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.5
Minimum2017
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-11T06:33:40.206237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2017
5-th percentile2017
Q12018
median2019.5
Q32021
95-th percentile2022
Maximum2022
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.7124347
Coefficient of variation (CV)0.00084794981
Kurtosis-1.2703798
Mean2019.5
Median Absolute Deviation (MAD)1.5
Skewness0
Sum375627
Variance2.9324324
MonotonicityDecreasing
2023-12-11T06:33:40.312860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2022 31
16.7%
2021 31
16.7%
2020 31
16.7%
2019 31
16.7%
2018 31
16.7%
2017 31
16.7%
ValueCountFrequency (%)
2017 31
16.7%
2018 31
16.7%
2019 31
16.7%
2020 31
16.7%
2021 31
16.7%
2022 31
16.7%
ValueCountFrequency (%)
2022 31
16.7%
2021 31
16.7%
2020 31
16.7%
2019 31
16.7%
2018 31
16.7%
2017 31
16.7%

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
가평군
 
6
고양시
 
6
과천시
 
6
광명시
 
6
광주시
 
6
Other values (26)
156 

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 6
 
3.2%
고양시 6
 
3.2%
과천시 6
 
3.2%
광명시 6
 
3.2%
광주시 6
 
3.2%
구리시 6
 
3.2%
군포시 6
 
3.2%
김포시 6
 
3.2%
남양주시 6
 
3.2%
동두천시 6
 
3.2%
Other values (21) 126
67.7%

Length

2023-12-11T06:33:40.448259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
가평군 6
 
3.2%
안양시 6
 
3.2%
하남시 6
 
3.2%
포천시 6
 
3.2%
평택시 6
 
3.2%
파주시 6
 
3.2%
이천시 6
 
3.2%
의정부시 6
 
3.2%
의왕시 6
 
3.2%
용인시 6
 
3.2%
Other values (21) 126
67.7%

전체진료실인원수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct110
Distinct (%)59.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean338.50538
Minimum0
Maximum1351
Zeros62
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-11T06:33:40.616210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median272.5
Q3508.25
95-th percentile1115
Maximum1351
Range1351
Interquartile range (IQR)508.25

Descriptive statistics

Standard deviation367.73734
Coefficient of variation (CV)1.086356
Kurtosis0.21280127
Mean338.50538
Median Absolute Deviation (MAD)272.5
Skewness1.07948
Sum62962
Variance135230.75
MonotonicityNot monotonic
2023-12-11T06:33:40.757517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62
33.3%
549 2
 
1.1%
580 2
 
1.1%
369 2
 
1.1%
280 2
 
1.1%
412 2
 
1.1%
219 2
 
1.1%
403 2
 
1.1%
450 2
 
1.1%
335 2
 
1.1%
Other values (100) 106
57.0%
ValueCountFrequency (%)
0 62
33.3%
28 1
 
0.5%
53 1
 
0.5%
55 1
 
0.5%
60 1
 
0.5%
106 1
 
0.5%
113 1
 
0.5%
115 1
 
0.5%
135 1
 
0.5%
136 1
 
0.5%
ValueCountFrequency (%)
1351 1
0.5%
1329 1
0.5%
1264 1
0.5%
1254 1
0.5%
1239 1
0.5%
1170 1
0.5%
1155 1
0.5%
1146 1
0.5%
1126 1
0.5%
1118 1
0.5%

전체진료건수(건)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct125
Distinct (%)67.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8798.1613
Minimum0
Maximum35155
Zeros62
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-11T06:33:40.899930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6038.5
Q312043
95-th percentile30724.75
Maximum35155
Range35155
Interquartile range (IQR)12043

Descriptive statistics

Standard deviation9933.3699
Coefficient of variation (CV)1.1290279
Kurtosis0.4533898
Mean8798.1613
Median Absolute Deviation (MAD)6038.5
Skewness1.1870039
Sum1636458
Variance98671837
MonotonicityNot monotonic
2023-12-11T06:33:41.053711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62
33.3%
11670 1
 
0.5%
14069 1
 
0.5%
8475 1
 
0.5%
11023 1
 
0.5%
16797 1
 
0.5%
16422 1
 
0.5%
6102 1
 
0.5%
25493 1
 
0.5%
3783 1
 
0.5%
Other values (115) 115
61.8%
ValueCountFrequency (%)
0 62
33.3%
697 1
 
0.5%
857 1
 
0.5%
1184 1
 
0.5%
1286 1
 
0.5%
2207 1
 
0.5%
2598 1
 
0.5%
2943 1
 
0.5%
3068 1
 
0.5%
3414 1
 
0.5%
ValueCountFrequency (%)
35155 1
0.5%
34942 1
0.5%
34507 1
0.5%
34459 1
0.5%
34054 1
0.5%
33731 1
0.5%
33179 1
0.5%
32135 1
0.5%
31918 1
0.5%
31157 1
0.5%

전체장애인의료비(원)
Real number (ℝ)

UNIQUE 

Distinct186
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.325868 × 108
Minimum4875549
Maximum1.1356988 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-11T06:33:41.469190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4875549
5-th percentile32631512
Q11.0053991 × 108
median1.6013756 × 108
Q33.1752868 × 108
95-th percentile6.2752812 × 108
Maximum1.1356988 × 109
Range1.1308232 × 109
Interquartile range (IQR)2.1698878 × 108

Descriptive statistics

Standard deviation1.9537152 × 108
Coefficient of variation (CV)0.83999399
Kurtosis2.9282972
Mean2.325868 × 108
Median Absolute Deviation (MAD)87799395
Skewness1.5747789
Sum4.3261146 × 1010
Variance3.817003 × 1016
MonotonicityNot monotonic
2023-12-11T06:33:41.602734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
149057236 1
 
0.5%
109784430 1
 
0.5%
253828000 1
 
0.5%
259556600 1
 
0.5%
15831420 1
 
0.5%
159156000 1
 
0.5%
263956030 1
 
0.5%
31519000 1
 
0.5%
499102380 1
 
0.5%
11570400 1
 
0.5%
Other values (176) 176
94.6%
ValueCountFrequency (%)
4875549 1
0.5%
10365200 1
0.5%
11570400 1
0.5%
12580460 1
0.5%
13232410 1
0.5%
14816390 1
0.5%
15831420 1
0.5%
31519000 1
0.5%
32431610 1
0.5%
32575420 1
0.5%
ValueCountFrequency (%)
1135698770 1
0.5%
867048140 1
0.5%
866301760 1
0.5%
782957870 1
0.5%
765771900 1
0.5%
764837650 1
0.5%
690135550 1
0.5%
688864489 1
0.5%
648383610 1
0.5%
632006830 1
0.5%

입원진료실인원수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct95
Distinct (%)51.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.263441
Minimum0
Maximum348
Zeros62
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-11T06:33:41.728117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median61.5
Q3125.5
95-th percentile287.75
Maximum348
Range348
Interquartile range (IQR)125.5

Descriptive statistics

Standard deviation92.887147
Coefficient of variation (CV)1.1023422
Kurtosis0.28978426
Mean84.263441
Median Absolute Deviation (MAD)61.5
Skewness1.115617
Sum15673
Variance8628.0221
MonotonicityNot monotonic
2023-12-11T06:33:41.864870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62
33.3%
107 3
 
1.6%
68 3
 
1.6%
104 3
 
1.6%
44 3
 
1.6%
139 2
 
1.1%
85 2
 
1.1%
67 2
 
1.1%
96 2
 
1.1%
62 2
 
1.1%
Other values (85) 102
54.8%
ValueCountFrequency (%)
0 62
33.3%
6 1
 
0.5%
11 2
 
1.1%
12 1
 
0.5%
18 1
 
0.5%
27 1
 
0.5%
31 1
 
0.5%
32 1
 
0.5%
40 1
 
0.5%
41 1
 
0.5%
ValueCountFrequency (%)
348 1
0.5%
331 1
0.5%
314 1
0.5%
307 1
0.5%
304 1
0.5%
303 1
0.5%
301 1
0.5%
289 2
1.1%
288 1
0.5%
287 1
0.5%

입원진료건수(건)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct119
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean518.03763
Minimum0
Maximum2577
Zeros62
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-11T06:33:42.011856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median338
Q3739.25
95-th percentile1830.75
Maximum2577
Range2577
Interquartile range (IQR)739.25

Descriptive statistics

Standard deviation599.83036
Coefficient of variation (CV)1.1578895
Kurtosis0.95237535
Mean518.03763
Median Absolute Deviation (MAD)338
Skewness1.2949652
Sum96355
Variance359796.46
MonotonicityNot monotonic
2023-12-11T06:33:42.147275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62
33.3%
337 3
 
1.6%
1831 2
 
1.1%
289 2
 
1.1%
338 2
 
1.1%
983 2
 
1.1%
331 1
 
0.5%
313 1
 
0.5%
511 1
 
0.5%
630 1
 
0.5%
Other values (109) 109
58.6%
ValueCountFrequency (%)
0 62
33.3%
41 1
 
0.5%
44 1
 
0.5%
46 1
 
0.5%
51 1
 
0.5%
118 1
 
0.5%
120 1
 
0.5%
139 1
 
0.5%
154 1
 
0.5%
168 1
 
0.5%
ValueCountFrequency (%)
2577 1
0.5%
2265 1
0.5%
2200 1
0.5%
2107 1
0.5%
2061 1
0.5%
2049 1
0.5%
1983 1
0.5%
1936 1
0.5%
1831 2
1.1%
1830 1
0.5%

입원장애인의료비(원)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct32
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18086256
Minimum0
Maximum3.7292217 × 108
Zeros155
Zeros (%)83.3%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-11T06:33:42.292283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.0825287 × 108
Maximum3.7292217 × 108
Range3.7292217 × 108
Interquartile range (IQR)0

Descriptive statistics

Standard deviation53352504
Coefficient of variation (CV)2.949892
Kurtosis17.007058
Mean18086256
Median Absolute Deviation (MAD)0
Skewness3.8896378
Sum3.3640437 × 109
Variance2.8464896 × 1015
MonotonicityNot monotonic
2023-12-11T06:33:42.446339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 155
83.3%
87159690 1
 
0.5%
82038480 1
 
0.5%
43836300 1
 
0.5%
61602130 1
 
0.5%
97209040 1
 
0.5%
128315640 1
 
0.5%
41282930 1
 
0.5%
182650620 1
 
0.5%
64597120 1
 
0.5%
Other values (22) 22
 
11.8%
ValueCountFrequency (%)
0 155
83.3%
9729120 1
 
0.5%
23681940 1
 
0.5%
24002370 1
 
0.5%
36706800 1
 
0.5%
41282930 1
 
0.5%
43836300 1
 
0.5%
45922330 1
 
0.5%
48996010 1
 
0.5%
56522720 1
 
0.5%
ValueCountFrequency (%)
372922170 1
0.5%
260523530 1
0.5%
252113350 1
0.5%
250303750 1
0.5%
214245080 1
0.5%
192613330 1
0.5%
182650620 1
0.5%
151606520 1
0.5%
128315640 1
0.5%
110684110 1
0.5%

외래진료실인원수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct118
Distinct (%)63.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean300.36559
Minimum0
Maximum1100
Zeros62
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-11T06:33:42.579781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median243
Q3441.5
95-th percentile1004.75
Maximum1100
Range1100
Interquartile range (IQR)441.5

Descriptive statistics

Standard deviation324.60725
Coefficient of variation (CV)1.0807072
Kurtosis0.01799123
Mean300.36559
Median Absolute Deviation (MAD)243
Skewness1.0368801
Sum55868
Variance105369.87
MonotonicityNot monotonic
2023-12-11T06:33:42.717635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62
33.3%
979 2
 
1.1%
276 2
 
1.1%
1013 2
 
1.1%
316 2
 
1.1%
210 2
 
1.1%
128 2
 
1.1%
345 2
 
1.1%
206 1
 
0.5%
265 1
 
0.5%
Other values (108) 108
58.1%
ValueCountFrequency (%)
0 62
33.3%
24 1
 
0.5%
49 1
 
0.5%
52 1
 
0.5%
55 1
 
0.5%
95 1
 
0.5%
106 1
 
0.5%
107 1
 
0.5%
122 1
 
0.5%
128 2
 
1.1%
ValueCountFrequency (%)
1100 1
0.5%
1067 1
0.5%
1057 1
0.5%
1044 1
0.5%
1043 1
0.5%
1024 1
0.5%
1022 1
0.5%
1019 1
0.5%
1013 2
1.1%
980 1
0.5%

외래진료건수(건)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct125
Distinct (%)67.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8004.8333
Minimum0
Maximum33458
Zeros62
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-11T06:33:42.842326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5574
Q311206.75
95-th percentile27326.5
Maximum33458
Range33458
Interquartile range (IQR)11206.75

Descriptive statistics

Standard deviation9028.4153
Coefficient of variation (CV)1.1278705
Kurtosis0.47840751
Mean8004.8333
Median Absolute Deviation (MAD)5574
Skewness1.1881235
Sum1488899
Variance81512283
MonotonicityNot monotonic
2023-12-11T06:33:42.982773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62
33.3%
11119 1
 
0.5%
13129 1
 
0.5%
8153 1
 
0.5%
10512 1
 
0.5%
15851 1
 
0.5%
15209 1
 
0.5%
5658 1
 
0.5%
24128 1
 
0.5%
3501 1
 
0.5%
Other values (115) 115
61.8%
ValueCountFrequency (%)
0 62
33.3%
585 1
 
0.5%
816 1
 
0.5%
1140 1
 
0.5%
1235 1
 
0.5%
2089 1
 
0.5%
2152 1
 
0.5%
2789 1
 
0.5%
2843 1
 
0.5%
3208 1
 
0.5%
ValueCountFrequency (%)
33458 1
0.5%
32458 1
0.5%
32194 1
0.5%
31993 1
0.5%
31072 1
0.5%
30305 1
0.5%
28258 1
0.5%
28035 1
0.5%
27445 1
0.5%
27337 1
0.5%

외래장애인의료비(원)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct32
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4312598.3
Minimum0
Maximum88607770
Zeros155
Zeros (%)83.3%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-11T06:33:43.123319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile25422705
Maximum88607770
Range88607770
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12779825
Coefficient of variation (CV)2.9633701
Kurtosis17.976881
Mean4312598.3
Median Absolute Deviation (MAD)0
Skewness3.9823872
Sum8.0214328 × 108
Variance1.6332392 × 1014
MonotonicityNot monotonic
2023-12-11T06:33:43.243819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 155
83.3%
24562400 1
 
0.5%
23989590 1
 
0.5%
9129340 1
 
0.5%
15679180 1
 
0.5%
25639350 1
 
0.5%
31679260 1
 
0.5%
8675740 1
 
0.5%
56213120 1
 
0.5%
11072370 1
 
0.5%
Other values (22) 22
 
11.8%
ValueCountFrequency (%)
0 155
83.3%
2851340 1
 
0.5%
5480380 1
 
0.5%
8429240 1
 
0.5%
8675740 1
 
0.5%
9117850 1
 
0.5%
9129340 1
 
0.5%
11072370 1
 
0.5%
11450870 1
 
0.5%
11755720 1
 
0.5%
ValueCountFrequency (%)
88607770 1
0.5%
74335800 1
0.5%
56213120 1
0.5%
54136530 1
0.5%
51727400 1
0.5%
49193550 1
0.5%
39568160 1
0.5%
31679260 1
0.5%
26645640 1
0.5%
25639350 1
0.5%

조제진료실인원수(명)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0
186 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 186
100.0%

Length

2023-12-11T06:33:43.385522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:33:43.483420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 186
100.0%

조제진료건수(건)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0
186 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 186
100.0%

Length

2023-12-11T06:33:43.596736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:33:43.684804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 186
100.0%

조제장애인의료비(원)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0
186 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 186
100.0%

Length

2023-12-11T06:33:43.781882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:33:43.876225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 186
100.0%

Interactions

2023-12-11T06:33:39.049587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:29.806493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:31.044412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:32.010739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:33.042866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:33.939677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:34.827006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:35.776253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:37.137767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:38.145911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:39.127048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:29.908859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:31.140004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:32.114327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:33.123900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:34.020382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:34.908218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:35.907635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:37.224563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:38.242629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:39.207105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:30.007382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:31.247825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:32.212973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:33.206675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:34.106188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:34.997324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:36.011464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:37.315231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:38.336617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:39.286959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:30.102758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:31.340957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:32.325240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:33.299092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:34.191229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:35.109826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:36.111697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:37.412080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:38.418382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:39.360931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:30.199032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:31.433958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:32.431896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:33.389239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:34.291053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:35.206446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:36.489526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:37.500416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:38.499203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:39.442969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:30.309106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:31.535751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:32.518538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:33.508753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:34.379645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:35.293020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:36.607406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:37.617263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:38.587805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:39.517136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:30.655844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:31.631775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:32.603436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:33.590673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:34.456162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:35.381957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:36.708403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:37.719429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:38.686434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:39.600760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:30.750475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:31.733799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:32.731771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:33.676250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:34.554949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:35.514349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:36.817736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:37.819662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:38.782600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:39.693436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:30.860195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:31.819137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:32.835400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:33.774350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:34.636649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:35.595787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:36.926107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:37.940432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:38.876339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:39.792309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:30.960684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:31.906584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:32.942615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:33.865284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:34.734893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:35.686946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:37.049661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:38.053814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:33:38.970284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:33:43.941418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도시군명전체진료실인원수(명)전체진료건수(건)전체장애인의료비(원)입원진료실인원수(명)입원진료건수(건)입원장애인의료비(원)외래진료실인원수(명)외래진료건수(건)외래장애인의료비(원)
기준년도1.0000.0000.6240.7620.2240.7690.739NaN0.6220.632NaN
시군명0.0001.0000.8050.8020.6830.8640.7320.0000.8950.7760.000
전체진료실인원수(명)0.6240.8051.0000.9720.5350.9540.9200.6680.9310.9480.641
전체진료건수(건)0.7620.8020.9721.0000.5910.9600.9480.6330.9070.9920.725
전체장애인의료비(원)0.2240.6830.5350.5911.0000.5370.5850.2340.6810.5610.295
입원진료실인원수(명)0.7690.8640.9540.9600.5371.0000.9470.5770.8990.9510.546
입원진료건수(건)0.7390.7320.9200.9480.5850.9471.0000.6030.8370.9340.600
입원장애인의료비(원)NaN0.0000.6680.6330.2340.5770.6031.0000.4790.6650.941
외래진료실인원수(명)0.6220.8950.9310.9070.6810.8990.8370.4791.0000.8960.625
외래진료건수(건)0.6320.7760.9480.9920.5610.9510.9340.6650.8961.0000.762
외래장애인의료비(원)NaN0.0000.6410.7250.2950.5460.6000.9410.6250.7621.000
2023-12-11T06:33:44.092722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도전체진료실인원수(명)전체진료건수(건)전체장애인의료비(원)입원진료실인원수(명)입원진료건수(건)입원장애인의료비(원)외래진료실인원수(명)외래진료건수(건)외래장애인의료비(원)시군명
기준년도1.0000.2850.4010.2480.3640.419-0.6510.3260.377-0.6510.000
전체진료실인원수(명)0.2851.0000.9840.3330.9920.9770.3540.9980.9850.3550.411
전체진료건수(건)0.4010.9841.0000.3690.9900.9870.2210.9910.9980.2220.407
전체장애인의료비(원)0.2480.3330.3691.0000.3620.374-0.2240.3500.363-0.2260.312
입원진료실인원수(명)0.3640.9920.9900.3621.0000.9890.2650.9950.9890.2650.492
입원진료건수(건)0.4190.9770.9870.3740.9891.0000.2120.9820.9820.2110.336
입원장애인의료비(원)-0.6510.3540.221-0.2240.2650.2121.0000.3000.2340.9990.000
외래진료실인원수(명)0.3260.9980.9910.3500.9950.9820.3001.0000.9920.3010.570
외래진료건수(건)0.3770.9850.9980.3630.9890.9820.2340.9921.0000.2350.379
외래장애인의료비(원)-0.6510.3550.222-0.2260.2650.2110.9990.3010.2351.0000.000
시군명0.0000.4110.4070.3120.4920.3360.0000.5700.3790.0001.000

Missing values

2023-12-11T06:33:39.908212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:33:40.085445image/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

기준년도시군명전체진료실인원수(명)전체진료건수(건)전체장애인의료비(원)입원진료실인원수(명)입원진료건수(건)입원장애인의료비(원)외래진료실인원수(명)외래진료건수(건)외래장애인의료비(원)조제진료실인원수(명)조제진료건수(건)조제장애인의료비(원)
02022가평군146399414905723649285012833830000
12022고양시112634054492072393289181801024282580000
22022과천시28697430812976460245850000
32022광명시278832214925152368528024768790000
42022광주시273677115968574669348024957090000
52022구리시286913824124220168379026178770000
62022군포시304874011672847282562027270880000
72022김포시38710651128452193124689033886740000
82022남양주시9762915346400290426614620858240150000
92022동두천시325927524113322480658029375420000
기준년도시군명전체진료실인원수(명)전체진료건수(건)전체장애인의료비(원)입원진료실인원수(명)입원진료건수(건)입원장애인의료비(원)외래진료실인원수(명)외래진료건수(건)외래장애인의료비(원)조제진료실인원수(명)조제진료건수(건)조제장애인의료비(원)
1762017오산시2725005806225506234268866830210466311755720000
1772017용인시5099145169958630120728151606520389841718352110000
1782017의왕시2955431756694906132864597120234510311072370000
1792017의정부시10212155723886374020710031826506208142055456213120000
1802017이천시331451349958670762954128293025542188675740000
1812017파주시673111831599949001397201283156405341046331679260000
1822017평택시66812094122848390132596972090405361149825639350000
1832017포천시4127277772813106741261602130345686515679180000
1842017하남시273449652965640582894383630021542079129340000
1852017화성시506907910602807010755282038480399852723989590000