Overview

Dataset statistics

Number of variables8
Number of observations75
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.3 KiB
Average record size in memory71.8 B

Variable types

Numeric6
Categorical2

Dataset

Description경기장애인구강진료센터 장애유형 운영현황
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=ZORB9GU6RKZSXLSDLW2926069233&infSeq=1

Alerts

기준년도 is highly overall correlated with 기관명High correlation
합계(명) is highly overall correlated with 1분기환자수(명) and 3 other fieldsHigh correlation
1분기환자수(명) is highly overall correlated with 합계(명) and 3 other fieldsHigh correlation
2분기환자수(명) is highly overall correlated with 합계(명) and 3 other fieldsHigh correlation
3분기환자수(명) is highly overall correlated with 합계(명) and 3 other fieldsHigh correlation
4분기환자수(명) is highly overall correlated with 합계(명) and 3 other fieldsHigh correlation
기관명 is highly overall correlated with 기준년도High correlation
합계(명) has 5 (6.7%) zerosZeros
1분기환자수(명) has 16 (21.3%) zerosZeros
2분기환자수(명) has 14 (18.7%) zerosZeros
3분기환자수(명) has 15 (20.0%) zerosZeros
4분기환자수(명) has 9 (12.0%) zerosZeros

Reproduction

Analysis started2024-04-11 01:53:24.668286
Analysis finished2024-04-11 01:53:29.674585
Duration5.01 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Real number (ℝ)

HIGH CORRELATION 

Distinct7
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2020.6533
Minimum2017
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-04-11T10:53:29.717492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2017
5-th percentile2017
Q12019
median2021
Q32022
95-th percentile2023
Maximum2023
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.0827044
Coefficient of variation (CV)0.0010307084
Kurtosis-1.1876805
Mean2020.6533
Median Absolute Deviation (MAD)2
Skewness-0.46265932
Sum151549
Variance4.3376577
MonotonicityDecreasing
2024-04-11T10:53:29.803547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2023 18
24.0%
2022 18
24.0%
2020 8
10.7%
2019 8
10.7%
2018 8
10.7%
2017 8
10.7%
2021 7
 
9.3%
ValueCountFrequency (%)
2017 8
10.7%
2018 8
10.7%
2019 8
10.7%
2020 8
10.7%
2021 7
 
9.3%
2022 18
24.0%
2023 18
24.0%
ValueCountFrequency (%)
2023 18
24.0%
2022 18
24.0%
2021 7
 
9.3%
2020 8
10.7%
2019 8
10.7%
2018 8
10.7%
2017 8
10.7%

기관명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
경기권역장애인구강진료센터
57 
경기북부장애인구강진료센터
18 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기권역장애인구강진료센터 57
76.0%
경기북부장애인구강진료센터 18
 
24.0%

Length

2024-04-11T10:53:29.911677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T10:53:30.003690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기권역장애인구강진료센터 57
76.0%
경기북부장애인구강진료센터 18
 
24.0%

장애유형명
Categorical

Distinct24
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
치과영역 중증장애(중복장애)
 
5
일반영역 경증장애
 
4
뇌전증장애(경증)
 
4
뇌전증장애(중증)
 
4
자폐성장애(중증)
 
4
Other values (19)
54 

Length

Max length28
Median length24
Mean length13.866667
Min length4

Unique

Unique1 ?
Unique (%)1.3%

Sample

1st row뇌병변장애(경증)
2nd row뇌병변장애(중증)
3rd row뇌전증장애(경증)
4th row뇌전증장애(중증)
5th row자폐성장애(중증)

Common Values

ValueCountFrequency (%)
치과영역 중증장애(중복장애) 5
 
6.7%
일반영역 경증장애 4
 
5.3%
뇌전증장애(경증) 4
 
5.3%
뇌전증장애(중증) 4
 
5.3%
자폐성장애(중증) 4
 
5.3%
정신장애(중증) 4
 
5.3%
중복장애 4
 
5.3%
지적장애(중증) 4
 
5.3%
지체장애(중증) 4
 
5.3%
뇌병변장애(중증) 4
 
5.3%
Other values (14) 34
45.3%

Length

2024-04-11T10:53:30.099005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
치과영역 35
20.8%
1~3급 20
 
11.9%
또는 12
 
7.1%
중증 8
 
4.8%
중증장애(중복장애 5
 
3.0%
중증장애(지체 5
 
3.0%
중증장애(정신 5
 
3.0%
중증장애(지적 5
 
3.0%
1~6급 5
 
3.0%
중증장애(뇌병변 5
 
3.0%
Other values (17) 63
37.5%

합계(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct60
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean717.02667
Minimum0
Maximum2874
Zeros5
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-04-11T10:53:30.203013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q123
median612
Q31146
95-th percentile2395
Maximum2874
Range2874
Interquartile range (IQR)1123

Descriptive statistics

Standard deviation738.4916
Coefficient of variation (CV)1.029936
Kurtosis0.90242097
Mean717.02667
Median Absolute Deviation (MAD)549
Skewness1.1629144
Sum53777
Variance545369.84
MonotonicityNot monotonic
2024-04-11T10:53:30.319139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
6.7%
1 3
 
4.0%
230 2
 
2.7%
4 2
 
2.7%
1283 2
 
2.7%
166 2
 
2.7%
708 2
 
2.7%
2571 2
 
2.7%
618 2
 
2.7%
17 2
 
2.7%
Other values (50) 51
68.0%
ValueCountFrequency (%)
0 5
6.7%
1 3
4.0%
4 2
 
2.7%
5 1
 
1.3%
6 1
 
1.3%
7 1
 
1.3%
8 1
 
1.3%
11 1
 
1.3%
14 1
 
1.3%
17 2
 
2.7%
ValueCountFrequency (%)
2874 1
1.3%
2571 2
2.7%
2514 1
1.3%
2344 1
1.3%
2314 1
1.3%
2203 1
1.3%
1553 1
1.3%
1356 1
1.3%
1337 1
1.3%
1298 1
1.3%

1분기환자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct48
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean160.85333
Minimum0
Maximum646
Zeros16
Zeros (%)21.3%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-04-11T10:53:30.436603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median127
Q3263.5
95-th percentile571.1
Maximum646
Range646
Interquartile range (IQR)259.5

Descriptive statistics

Standard deviation172.48703
Coefficient of variation (CV)1.0723249
Kurtosis0.70934465
Mean160.85333
Median Absolute Deviation (MAD)125
Skewness1.1474093
Sum12064
Variance29751.775
MonotonicityNot monotonic
2024-04-11T10:53:30.550297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 16
 
21.3%
53 2
 
2.7%
6 2
 
2.7%
286 2
 
2.7%
1 2
 
2.7%
230 2
 
2.7%
200 2
 
2.7%
127 2
 
2.7%
137 2
 
2.7%
576 2
 
2.7%
Other values (38) 41
54.7%
ValueCountFrequency (%)
0 16
21.3%
1 2
 
2.7%
3 1
 
1.3%
5 1
 
1.3%
6 2
 
2.7%
26 1
 
1.3%
28 1
 
1.3%
32 1
 
1.3%
34 2
 
2.7%
36 1
 
1.3%
ValueCountFrequency (%)
646 1
1.3%
579 1
1.3%
576 2
2.7%
569 1
1.3%
533 1
1.3%
523 1
1.3%
357 1
1.3%
315 1
1.3%
305 1
1.3%
303 1
1.3%

2분기환자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct49
Distinct (%)65.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean177.69333
Minimum0
Maximum741
Zeros14
Zeros (%)18.7%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-04-11T10:53:30.663980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median162
Q3259.5
95-th percentile605.4
Maximum741
Range741
Interquartile range (IQR)255.5

Descriptive statistics

Standard deviation186.46904
Coefficient of variation (CV)1.0493868
Kurtosis1.3956176
Mean177.69333
Median Absolute Deviation (MAD)127
Skewness1.2858077
Sum13327
Variance34770.702
MonotonicityNot monotonic
2024-04-11T10:53:30.799079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 14
 
18.7%
4 3
 
4.0%
229 3
 
4.0%
61 2
 
2.7%
3 2
 
2.7%
306 2
 
2.7%
40 2
 
2.7%
203 2
 
2.7%
687 2
 
2.7%
171 2
 
2.7%
Other values (39) 41
54.7%
ValueCountFrequency (%)
0 14
18.7%
2 1
 
1.3%
3 2
 
2.7%
4 3
 
4.0%
6 1
 
1.3%
26 1
 
1.3%
33 1
 
1.3%
40 2
 
2.7%
43 2
 
2.7%
44 1
 
1.3%
ValueCountFrequency (%)
741 1
1.3%
687 2
2.7%
625 1
1.3%
597 1
1.3%
551 2
2.7%
362 1
1.3%
335 1
1.3%
333 1
1.3%
319 1
1.3%
308 1
1.3%

3분기환자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct52
Distinct (%)69.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean183.69333
Minimum0
Maximum792
Zeros15
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-04-11T10:53:30.929811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median155
Q3285
95-th percentile602.2
Maximum792
Range792
Interquartile range (IQR)282

Descriptive statistics

Standard deviation192.86965
Coefficient of variation (CV)1.0499545
Kurtosis0.90319487
Mean183.69333
Median Absolute Deviation (MAD)149
Skewness1.1520956
Sum13777
Variance37198.702
MonotonicityNot monotonic
2024-04-11T10:53:31.051946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15
 
20.0%
54 2
 
2.7%
350 2
 
2.7%
40 2
 
2.7%
179 2
 
2.7%
605 2
 
2.7%
144 2
 
2.7%
3 2
 
2.7%
213 2
 
2.7%
2 2
 
2.7%
Other values (42) 42
56.0%
ValueCountFrequency (%)
0 15
20.0%
1 1
 
1.3%
2 2
 
2.7%
3 2
 
2.7%
5 1
 
1.3%
31 1
 
1.3%
40 2
 
2.7%
41 1
 
1.3%
45 1
 
1.3%
50 1
 
1.3%
ValueCountFrequency (%)
792 1
1.3%
693 1
1.3%
605 2
2.7%
601 1
1.3%
599 1
1.3%
510 1
1.3%
475 1
1.3%
392 1
1.3%
363 1
1.3%
350 2
2.7%

4분기환자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct55
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.78667
Minimum0
Maximum762
Zeros9
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-04-11T10:53:31.172921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q117.5
median165
Q3299.5
95-th percentile638
Maximum762
Range762
Interquartile range (IQR)282

Descriptive statistics

Standard deviation198.71542
Coefficient of variation (CV)1.0201695
Kurtosis0.75257318
Mean194.78667
Median Absolute Deviation (MAD)147
Skewness1.1245089
Sum14609
Variance39487.819
MonotonicityNot monotonic
2024-04-11T10:53:31.298204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9
 
12.0%
1 5
 
6.7%
62 2
 
2.7%
703 2
 
2.7%
245 2
 
2.7%
166 2
 
2.7%
336 2
 
2.7%
165 2
 
2.7%
52 2
 
2.7%
331 2
 
2.7%
Other values (45) 45
60.0%
ValueCountFrequency (%)
0 9
12.0%
1 5
6.7%
2 1
 
1.3%
3 1
 
1.3%
5 1
 
1.3%
6 1
 
1.3%
17 1
 
1.3%
18 1
 
1.3%
28 1
 
1.3%
34 1
 
1.3%
ValueCountFrequency (%)
762 1
1.3%
703 2
2.7%
673 1
1.3%
623 1
1.3%
585 1
1.3%
547 1
1.3%
531 1
1.3%
389 1
1.3%
366 1
1.3%
352 1
1.3%

Interactions

2024-04-11T10:53:28.716606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:25.998513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:26.650189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:27.138870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:27.621508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:28.125648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:28.822605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:26.120412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:26.732854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:27.215882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:27.695675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:28.207000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:28.924091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:26.317351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:26.821769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:27.289226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:27.771982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:28.293834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:29.034161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:26.393898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:26.896165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:27.360057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:27.844588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:28.378220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:29.138729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:26.472659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:26.974837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:27.438607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:27.933146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:28.491688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:29.418998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:26.553219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:27.054102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:27.534703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:28.028129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:28.602105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-11T10:53:31.549586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도기관명장애유형명합계(명)1분기환자수(명)2분기환자수(명)3분기환자수(명)4분기환자수(명)
기준년도1.0000.6950.5550.3910.2950.2830.2720.294
기관명0.6951.0000.2850.4860.4840.5410.5350.461
장애유형명0.5550.2851.0000.8260.8630.8270.8220.837
합계(명)0.3910.4860.8261.0000.9120.8660.9530.929
1분기환자수(명)0.2950.4840.8630.9121.0000.9670.8920.934
2분기환자수(명)0.2830.5410.8270.8660.9671.0000.8710.890
3분기환자수(명)0.2720.5350.8220.9530.8920.8711.0000.964
4분기환자수(명)0.2940.4610.8370.9290.9340.8900.9641.000
2024-04-11T10:53:31.637835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장애유형명기관명
장애유형명1.0000.178
기관명0.1781.000
2024-04-11T10:53:31.723541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도합계(명)1분기환자수(명)2분기환자수(명)3분기환자수(명)4분기환자수(명)기관명장애유형명
기준년도1.000-0.321-0.364-0.358-0.338-0.3130.5140.110
합계(명)-0.3211.0000.9760.9560.9800.9750.4620.431
1분기환자수(명)-0.3640.9761.0000.9540.9730.9420.3470.440
2분기환자수(명)-0.3580.9560.9541.0000.9480.9010.3900.394
3분기환자수(명)-0.3380.9800.9730.9481.0000.9570.3870.418
4분기환자수(명)-0.3130.9750.9420.9010.9571.0000.3320.439
기관명0.5140.4620.3470.3900.3870.3321.0000.178
장애유형명0.1100.4310.4400.3940.4180.4390.1781.000

Missing values

2024-04-11T10:53:29.521880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-11T10:53:29.627575image/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

기준년도기관명장애유형명합계(명)1분기환자수(명)2분기환자수(명)3분기환자수(명)4분기환자수(명)
02023경기권역장애인구강진료센터뇌병변장애(경증)23053615462
12023경기권역장애인구강진료센터뇌병변장애(중증)887200229213245
22023경기권역장애인구강진료센터뇌전증장애(경증)40400
32023경기권역장애인구강진료센터뇌전증장애(중증)00000
42023경기권역장애인구강진료센터자폐성장애(중증)1283296306350331
52023경기권역장애인구강진료센터정신장애(중증)16634404052
62023경기권역장애인구강진료센터중복장애708161203179165
72023경기권역장애인구강진료센터지적장애(중증)2571576687605703
82023경기권역장애인구강진료센터지체장애(중증)618137171144166
92023경기북부장애인구강진료센터뇌병변장애(경증)63626310
기준년도기관명장애유형명합계(명)1분기환자수(명)2분기환자수(명)3분기환자수(명)4분기환자수(명)
652018경기권역장애인구강진료센터치과영역 중증장애(지적 1~3급)2514523625693673
662018경기권역장애인구강진료센터치과영역 중증장애(지체 1~3급)608117122149220
672017경기권역장애인구강진료센터일반영역 경증장애1148224308363253
682017경기권역장애인구강진료센터치과영역 중증장애(간질 2~4급)176623
692017경기권역장애인구강진료센터치과영역 중증장애(뇌병변 1~6급)1000252244272232
702017경기권역장애인구강진료센터치과영역 중증장애(자폐성 1~3급)814189191210224
712017경기권역장애인구강진료센터치과영역 중증장애(정신 1~3급)438625357266
722017경기권역장애인구강진료센터치과영역 중증장애(중복장애)782205173188216
732017경기권역장애인구강진료센터치과영역 중증장애(지적 1~3급)2344569551601623
742017경기권역장애인구강진료센터치과영역 중증장애(지체 1~3급)542127141123151