Overview

Dataset statistics

Number of variables48
Number of observations913
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory384.4 KiB
Average record size in memory431.1 B

Variable types

Categorical10
Numeric38

Dataset

Description대구광역시 9개 구군별 연령별 유형별 장애인 등록 현황- 장애유형(15개/ 지체, 시각, 청각, 언어, 지적, 뇌병변, 자폐성, 정신, 신장, 심장, 호흡기, 간, 안면, 장루.요루, 뇌전증)에 따른 대구광역시 9개 구군(중구, 동구, 서구 ,남구, 북구, 수성구, 달서구, 달성군,군위군)별 장애인등록현황을 연도말 기준으로 제공합니다.
Author대구광역시
URLhttps://www.data.go.kr/data/15069107/fileData.do

Alerts

심장(합계) is highly imbalanced (61.2%)Imbalance
심장(남) is highly imbalanced (65.0%)Imbalance
심장(여) is highly imbalanced (74.1%)Imbalance
호흡기(여) is highly imbalanced (72.0%)Imbalance
안면(합계) is highly imbalanced (71.0%)Imbalance
안면(남) is highly imbalanced (76.9%)Imbalance
안면(여) is highly imbalanced (77.4%)Imbalance
뇌전증(남) is highly imbalanced (67.5%)Imbalance
뇌전증(여) is highly imbalanced (66.1%)Imbalance
지체(합계) has 138 (15.1%) zerosZeros
지체(남) has 211 (23.1%) zerosZeros
지체(여) has 202 (22.1%) zerosZeros
시각(합계) has 174 (19.1%) zerosZeros
시각(남) has 245 (26.8%) zerosZeros
시각(여) has 285 (31.2%) zerosZeros
청각(합계) has 103 (11.3%) zerosZeros
청각(남) has 206 (22.6%) zerosZeros
청각(여) has 199 (21.8%) zerosZeros
언어(합계) has 470 (51.5%) zerosZeros
언어(남) has 532 (58.3%) zerosZeros
언어(여) has 687 (75.2%) zerosZeros
지적(합계) has 217 (23.8%) zerosZeros
지적(남) has 262 (28.7%) zerosZeros
지적(여) has 284 (31.1%) zerosZeros
뇌병변(합계) has 122 (13.4%) zerosZeros
뇌병변(남) has 187 (20.5%) zerosZeros
뇌병변(여) has 219 (24.0%) zerosZeros
자폐(합계) has 628 (68.8%) zerosZeros
자폐(남) has 644 (70.5%) zerosZeros
자폐(여) has 757 (82.9%) zerosZeros
정신(합계) has 389 (42.6%) zerosZeros
정신(남) has 467 (51.2%) zerosZeros
정신(여) has 445 (48.7%) zerosZeros
신장(합계) has 339 (37.1%) zerosZeros
신장(남) has 394 (43.2%) zerosZeros
신장(여) has 448 (49.1%) zerosZeros
호흡기(합계) has 709 (77.7%) zerosZeros
호흡기(남) has 740 (81.1%) zerosZeros
간(합계) has 624 (68.3%) zerosZeros
간(남) has 705 (77.2%) zerosZeros
간(여) has 734 (80.4%) zerosZeros
장루_요루(합계) has 603 (66.0%) zerosZeros
장루_요루(남) has 671 (73.5%) zerosZeros
장루_요루(여) has 722 (79.1%) zerosZeros
뇌전증(합계) has 704 (77.1%) zerosZeros

Reproduction

Analysis started2024-03-14 09:53:25.171559
Analysis finished2024-03-14 09:53:25.723640
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct9
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
대구광역시 달서구
104 
대구광역시 동구
103 
대구광역시 북구
103 
대구광역시 달성군
103 
대구광역시 서구
102 
Other values (4)
398 

Length

Max length9
Median length8
Mean length8.4403067
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 중구
2nd row대구광역시 중구
3rd row대구광역시 중구
4th row대구광역시 중구
5th row대구광역시 중구

Common Values

ValueCountFrequency (%)
대구광역시 달서구 104
11.4%
대구광역시 동구 103
11.3%
대구광역시 북구 103
11.3%
대구광역시 달성군 103
11.3%
대구광역시 서구 102
11.2%
대구광역시 남구 102
11.2%
대구광역시 수성구 102
11.2%
대구광역시 중구 101
11.1%
대구광역시 군위군 93
10.2%

Length

2024-03-14T18:53:25.925809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:53:26.277004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 913
50.0%
달서구 104
 
5.7%
동구 103
 
5.6%
북구 103
 
5.6%
달성군 103
 
5.6%
서구 102
 
5.6%
남구 102
 
5.6%
수성구 102
 
5.6%
중구 101
 
5.5%
군위군 93
 
5.1%

나이
Real number (ℝ)

Distinct109
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.11391
Minimum0
Maximum110
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:26.711454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q127
median52
Q377
95-th percentile98
Maximum110
Range110
Interquartile range (IQR)50

Descriptive statistics

Standard deviation29.468094
Coefficient of variation (CV)0.56545545
Kurtosis-1.1770282
Mean52.11391
Median Absolute Deviation (MAD)25
Skewness0.0042448491
Sum47580
Variance868.36859
MonotonicityNot monotonic
2024-03-14T18:53:27.143208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56 9
 
1.0%
50 9
 
1.0%
74 9
 
1.0%
73 9
 
1.0%
72 9
 
1.0%
71 9
 
1.0%
70 9
 
1.0%
69 9
 
1.0%
68 9
 
1.0%
67 9
 
1.0%
Other values (99) 823
90.1%
ValueCountFrequency (%)
0 1
 
0.1%
1 6
0.7%
2 8
0.9%
3 8
0.9%
4 9
1.0%
5 8
0.9%
6 9
1.0%
7 9
1.0%
8 8
0.9%
9 9
1.0%
ValueCountFrequency (%)
110 1
 
0.1%
109 1
 
0.1%
108 1
 
0.1%
107 2
 
0.2%
104 2
 
0.2%
103 3
 
0.3%
102 8
0.9%
101 5
0.5%
100 9
1.0%
99 9
1.0%

합계
Real number (ℝ)

Distinct355
Distinct (%)38.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142.95728
Minimum1
Maximum822
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:27.561970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q127
median72
Q3213
95-th percentile496
Maximum822
Range821
Interquartile range (IQR)186

Descriptive statistics

Standard deviation162.95551
Coefficient of variation (CV)1.1398895
Kurtosis1.7150667
Mean142.95728
Median Absolute Deviation (MAD)58
Skewness1.5218624
Sum130520
Variance26554.499
MonotonicityNot monotonic
2024-03-14T18:53:27.996467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 36
 
3.9%
2 15
 
1.6%
3 14
 
1.5%
49 11
 
1.2%
9 11
 
1.2%
5 10
 
1.1%
4 10
 
1.1%
17 10
 
1.1%
7 9
 
1.0%
19 9
 
1.0%
Other values (345) 778
85.2%
ValueCountFrequency (%)
1 36
3.9%
2 15
1.6%
3 14
 
1.5%
4 10
 
1.1%
5 10
 
1.1%
6 8
 
0.9%
7 9
 
1.0%
8 5
 
0.5%
9 11
 
1.2%
10 7
 
0.8%
ValueCountFrequency (%)
822 1
0.1%
782 1
0.1%
764 1
0.1%
754 1
0.1%
741 1
0.1%
727 1
0.1%
682 1
0.1%
674 2
0.2%
653 1
0.1%
631 1
0.1%

지체(합계)
Real number (ℝ)

ZEROS 

Distinct222
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.409639
Minimum0
Maximum401
Zeros138
Zeros (%)15.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:28.412709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median18
Q384
95-th percentile222
Maximum401
Range401
Interquartile range (IQR)82

Descriptive statistics

Standard deviation76.18634
Coefficient of variation (CV)1.4002361
Kurtosis2.8279048
Mean54.409639
Median Absolute Deviation (MAD)18
Skewness1.7760522
Sum49676
Variance5804.3583
MonotonicityNot monotonic
2024-03-14T18:53:28.885309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 138
 
15.1%
1 85
 
9.3%
2 33
 
3.6%
6 25
 
2.7%
4 24
 
2.6%
5 21
 
2.3%
3 18
 
2.0%
8 17
 
1.9%
9 15
 
1.6%
11 15
 
1.6%
Other values (212) 522
57.2%
ValueCountFrequency (%)
0 138
15.1%
1 85
9.3%
2 33
 
3.6%
3 18
 
2.0%
4 24
 
2.6%
5 21
 
2.3%
6 25
 
2.7%
7 9
 
1.0%
8 17
 
1.9%
9 15
 
1.6%
ValueCountFrequency (%)
401 1
0.1%
385 1
0.1%
382 1
0.1%
373 1
0.1%
360 1
0.1%
328 1
0.1%
326 1
0.1%
320 1
0.1%
315 1
0.1%
313 1
0.1%

지체(남)
Real number (ℝ)

ZEROS 

Distinct158
Distinct (%)17.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.720701
Minimum0
Maximum270
Zeros211
Zeros (%)23.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:29.322778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9
Q345
95-th percentile140.4
Maximum270
Range270
Interquartile range (IQR)44

Descriptive statistics

Standard deviation49.277564
Coefficient of variation (CV)1.5060057
Kurtosis4.228487
Mean32.720701
Median Absolute Deviation (MAD)9
Skewness2.0455484
Sum29874
Variance2428.2783
MonotonicityNot monotonic
2024-03-14T18:53:29.762836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 211
23.1%
1 72
 
7.9%
2 36
 
3.9%
4 30
 
3.3%
3 26
 
2.8%
5 22
 
2.4%
8 22
 
2.4%
6 18
 
2.0%
9 17
 
1.9%
17 16
 
1.8%
Other values (148) 443
48.5%
ValueCountFrequency (%)
0 211
23.1%
1 72
 
7.9%
2 36
 
3.9%
3 26
 
2.8%
4 30
 
3.3%
5 22
 
2.4%
6 18
 
2.0%
7 15
 
1.6%
8 22
 
2.4%
9 17
 
1.9%
ValueCountFrequency (%)
270 1
0.1%
267 1
0.1%
263 1
0.1%
260 1
0.1%
245 1
0.1%
227 1
0.1%
224 1
0.1%
218 1
0.1%
215 1
0.1%
212 1
0.1%

지체(여)
Real number (ℝ)

ZEROS 

Distinct121
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.688938
Minimum0
Maximum161
Zeros202
Zeros (%)22.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:30.109196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q331
95-th percentile97
Maximum161
Range161
Interquartile range (IQR)30

Descriptive statistics

Standard deviation31.645509
Coefficient of variation (CV)1.4590622
Kurtosis2.327732
Mean21.688938
Median Absolute Deviation (MAD)5
Skewness1.750724
Sum19802
Variance1001.4382
MonotonicityNot monotonic
2024-03-14T18:53:30.366264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 202
22.1%
1 91
 
10.0%
2 50
 
5.5%
3 50
 
5.5%
5 40
 
4.4%
4 27
 
3.0%
6 21
 
2.3%
11 17
 
1.9%
9 16
 
1.8%
7 14
 
1.5%
Other values (111) 385
42.2%
ValueCountFrequency (%)
0 202
22.1%
1 91
10.0%
2 50
 
5.5%
3 50
 
5.5%
4 27
 
3.0%
5 40
 
4.4%
6 21
 
2.3%
7 14
 
1.5%
8 12
 
1.3%
9 16
 
1.8%
ValueCountFrequency (%)
161 1
 
0.1%
150 1
 
0.1%
141 2
0.2%
128 1
 
0.1%
126 1
 
0.1%
124 4
0.4%
122 2
0.2%
119 1
 
0.1%
118 2
0.2%
116 1
 
0.1%

시각(합계)
Real number (ℝ)

ZEROS 

Distinct72
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.983571
Minimum0
Maximum91
Zeros174
Zeros (%)19.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:30.638928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q320
95-th percentile48
Maximum91
Range91
Interquartile range (IQR)19

Descriptive statistics

Standard deviation16.586983
Coefficient of variation (CV)1.2775363
Kurtosis2.2084972
Mean12.983571
Median Absolute Deviation (MAD)5
Skewness1.6005997
Sum11854
Variance275.12802
MonotonicityNot monotonic
2024-03-14T18:53:30.903425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 174
19.1%
1 105
 
11.5%
2 63
 
6.9%
3 50
 
5.5%
4 46
 
5.0%
6 30
 
3.3%
7 28
 
3.1%
5 24
 
2.6%
8 24
 
2.6%
9 16
 
1.8%
Other values (62) 353
38.7%
ValueCountFrequency (%)
0 174
19.1%
1 105
11.5%
2 63
 
6.9%
3 50
 
5.5%
4 46
 
5.0%
5 24
 
2.6%
6 30
 
3.3%
7 28
 
3.1%
8 24
 
2.6%
9 16
 
1.8%
ValueCountFrequency (%)
91 1
0.1%
81 1
0.1%
80 1
0.1%
79 2
0.2%
76 1
0.1%
74 1
0.1%
69 1
0.1%
68 2
0.2%
63 2
0.2%
62 1
0.1%

시각(남)
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6374589
Minimum0
Maximum55
Zeros245
Zeros (%)26.8%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:31.231359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q312
95-th percentile29
Maximum55
Range55
Interquartile range (IQR)12

Descriptive statistics

Standard deviation9.9742541
Coefficient of variation (CV)1.305965
Kurtosis2.2971956
Mean7.6374589
Median Absolute Deviation (MAD)3
Skewness1.6251509
Sum6973
Variance99.485744
MonotonicityNot monotonic
2024-03-14T18:53:31.469566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 245
26.8%
1 111
12.2%
2 76
 
8.3%
4 45
 
4.9%
3 44
 
4.8%
5 35
 
3.8%
6 32
 
3.5%
7 22
 
2.4%
12 19
 
2.1%
11 19
 
2.1%
Other values (36) 265
29.0%
ValueCountFrequency (%)
0 245
26.8%
1 111
12.2%
2 76
 
8.3%
3 44
 
4.8%
4 45
 
4.9%
5 35
 
3.8%
6 32
 
3.5%
7 22
 
2.4%
8 16
 
1.8%
9 15
 
1.6%
ValueCountFrequency (%)
55 1
 
0.1%
50 2
0.2%
44 1
 
0.1%
43 2
0.2%
42 2
0.2%
41 1
 
0.1%
40 3
0.3%
39 2
0.2%
38 4
0.4%
37 3
0.3%

시각(여)
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.3461117
Minimum0
Maximum39
Zeros285
Zeros (%)31.2%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:31.709653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q38
95-th percentile21
Maximum39
Range39
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.3340282
Coefficient of variation (CV)1.3718434
Kurtosis3.1095362
Mean5.3461117
Median Absolute Deviation (MAD)2
Skewness1.8162492
Sum4881
Variance53.78797
MonotonicityNot monotonic
2024-03-14T18:53:31.950068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 285
31.2%
1 121
13.3%
2 87
 
9.5%
3 56
 
6.1%
5 37
 
4.1%
4 36
 
3.9%
8 29
 
3.2%
6 29
 
3.2%
9 27
 
3.0%
7 22
 
2.4%
Other values (27) 184
20.2%
ValueCountFrequency (%)
0 285
31.2%
1 121
13.3%
2 87
 
9.5%
3 56
 
6.1%
4 36
 
3.9%
5 37
 
4.1%
6 29
 
3.2%
7 22
 
2.4%
8 29
 
3.2%
9 27
 
3.0%
ValueCountFrequency (%)
39 1
 
0.1%
38 1
 
0.1%
37 2
 
0.2%
36 1
 
0.1%
33 1
 
0.1%
31 3
0.3%
30 3
0.3%
29 2
 
0.2%
28 5
0.5%
27 1
 
0.1%

청각(합계)
Real number (ℝ)

ZEROS 

Distinct163
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.521358
Minimum0
Maximum278
Zeros103
Zeros (%)11.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:32.192473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q340
95-th percentile150
Maximum278
Range278
Interquartile range (IQR)39

Descriptive statistics

Standard deviation50.45838
Coefficient of variation (CV)1.6007679
Kurtosis4.3785997
Mean31.521358
Median Absolute Deviation (MAD)6
Skewness2.1308447
Sum28779
Variance2546.0481
MonotonicityNot monotonic
2024-03-14T18:53:32.502995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 127
 
13.9%
0 103
 
11.3%
2 76
 
8.3%
3 62
 
6.8%
4 40
 
4.4%
6 33
 
3.6%
5 32
 
3.5%
7 24
 
2.6%
8 16
 
1.8%
9 15
 
1.6%
Other values (153) 385
42.2%
ValueCountFrequency (%)
0 103
11.3%
1 127
13.9%
2 76
8.3%
3 62
6.8%
4 40
 
4.4%
5 32
 
3.5%
6 33
 
3.6%
7 24
 
2.6%
8 16
 
1.8%
9 15
 
1.6%
ValueCountFrequency (%)
278 1
0.1%
274 1
0.1%
257 1
0.1%
255 1
0.1%
250 1
0.1%
239 1
0.1%
232 1
0.1%
218 1
0.1%
216 1
0.1%
209 1
0.1%

청각(남)
Real number (ℝ)

ZEROS 

Distinct102
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.833516
Minimum0
Maximum138
Zeros206
Zeros (%)22.6%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:32.938743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q320
95-th percentile72.8
Maximum138
Range138
Interquartile range (IQR)19

Descriptive statistics

Standard deviation25.454739
Coefficient of variation (CV)1.6076492
Kurtosis4.0101357
Mean15.833516
Median Absolute Deviation (MAD)3
Skewness2.0730875
Sum14456
Variance647.94374
MonotonicityNot monotonic
2024-03-14T18:53:33.183181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 206
22.6%
1 131
14.3%
2 84
 
9.2%
3 56
 
6.1%
4 42
 
4.6%
5 23
 
2.5%
6 23
 
2.5%
9 17
 
1.9%
8 16
 
1.8%
19 12
 
1.3%
Other values (92) 303
33.2%
ValueCountFrequency (%)
0 206
22.6%
1 131
14.3%
2 84
9.2%
3 56
 
6.1%
4 42
 
4.6%
5 23
 
2.5%
6 23
 
2.5%
7 9
 
1.0%
8 16
 
1.8%
9 17
 
1.9%
ValueCountFrequency (%)
138 1
0.1%
133 1
0.1%
127 1
0.1%
125 1
0.1%
121 2
0.2%
119 1
0.1%
115 1
0.1%
110 2
0.2%
104 1
0.1%
103 1
0.1%

청각(여)
Real number (ℝ)

ZEROS 

Distinct103
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.687842
Minimum0
Maximum168
Zeros199
Zeros (%)21.8%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:33.484115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q319
95-th percentile75.8
Maximum168
Range168
Interquartile range (IQR)18

Descriptive statistics

Standard deviation26.507985
Coefficient of variation (CV)1.6897152
Kurtosis6.427176
Mean15.687842
Median Absolute Deviation (MAD)3
Skewness2.4508121
Sum14323
Variance702.67328
MonotonicityNot monotonic
2024-03-14T18:53:33.927673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 199
21.8%
1 155
17.0%
2 76
 
8.3%
3 64
 
7.0%
4 25
 
2.7%
5 23
 
2.5%
9 18
 
2.0%
6 18
 
2.0%
8 13
 
1.4%
11 12
 
1.3%
Other values (93) 310
34.0%
ValueCountFrequency (%)
0 199
21.8%
1 155
17.0%
2 76
 
8.3%
3 64
 
7.0%
4 25
 
2.7%
5 23
 
2.5%
6 18
 
2.0%
7 7
 
0.8%
8 13
 
1.4%
9 18
 
2.0%
ValueCountFrequency (%)
168 1
0.1%
159 1
0.1%
149 1
0.1%
132 1
0.1%
130 1
0.1%
129 1
0.1%
128 1
0.1%
126 1
0.1%
121 1
0.1%
120 1
0.1%

언어(합계)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.263965
Minimum0
Maximum16
Zeros470
Zeros (%)51.5%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:34.197746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile5
Maximum16
Range16
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.0113124
Coefficient of variation (CV)1.5912723
Kurtosis8.552777
Mean1.263965
Median Absolute Deviation (MAD)0
Skewness2.5359225
Sum1154
Variance4.0453777
MonotonicityNot monotonic
2024-03-14T18:53:34.411355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 470
51.5%
1 187
 
20.5%
2 93
 
10.2%
3 61
 
6.7%
4 38
 
4.2%
5 22
 
2.4%
7 14
 
1.5%
6 10
 
1.1%
8 5
 
0.5%
9 5
 
0.5%
Other values (5) 8
 
0.9%
ValueCountFrequency (%)
0 470
51.5%
1 187
 
20.5%
2 93
 
10.2%
3 61
 
6.7%
4 38
 
4.2%
5 22
 
2.4%
6 10
 
1.1%
7 14
 
1.5%
8 5
 
0.5%
9 5
 
0.5%
ValueCountFrequency (%)
16 1
 
0.1%
13 1
 
0.1%
12 1
 
0.1%
11 2
 
0.2%
10 3
 
0.3%
9 5
 
0.5%
8 5
 
0.5%
7 14
1.5%
6 10
1.1%
5 22
2.4%

언어(남)
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.90361446
Minimum0
Maximum13
Zeros532
Zeros (%)58.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:34.640131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum13
Range13
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.5459051
Coefficient of variation (CV)1.7108016
Kurtosis10.72507
Mean0.90361446
Median Absolute Deviation (MAD)0
Skewness2.7814356
Sum825
Variance2.3898224
MonotonicityNot monotonic
2024-03-14T18:53:35.029719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 532
58.3%
1 184
 
20.2%
2 94
 
10.3%
3 47
 
5.1%
4 23
 
2.5%
6 10
 
1.1%
5 9
 
1.0%
7 8
 
0.9%
9 3
 
0.3%
11 1
 
0.1%
Other values (2) 2
 
0.2%
ValueCountFrequency (%)
0 532
58.3%
1 184
 
20.2%
2 94
 
10.3%
3 47
 
5.1%
4 23
 
2.5%
5 9
 
1.0%
6 10
 
1.1%
7 8
 
0.9%
8 1
 
0.1%
9 3
 
0.3%
ValueCountFrequency (%)
13 1
 
0.1%
11 1
 
0.1%
9 3
 
0.3%
8 1
 
0.1%
7 8
 
0.9%
6 10
 
1.1%
5 9
 
1.0%
4 23
 
2.5%
3 47
5.1%
2 94
10.3%

언어(여)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.36035049
Minimum0
Maximum5
Zeros687
Zeros (%)75.2%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:35.378540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.74959396
Coefficient of variation (CV)2.0801802
Kurtosis8.937356
Mean0.36035049
Median Absolute Deviation (MAD)0
Skewness2.6985199
Sum329
Variance0.56189111
MonotonicityNot monotonic
2024-03-14T18:53:35.738634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 687
75.2%
1 156
 
17.1%
2 49
 
5.4%
3 12
 
1.3%
4 6
 
0.7%
5 3
 
0.3%
ValueCountFrequency (%)
0 687
75.2%
1 156
 
17.1%
2 49
 
5.4%
3 12
 
1.3%
4 6
 
0.7%
5 3
 
0.3%
ValueCountFrequency (%)
5 3
 
0.3%
4 6
 
0.7%
3 12
 
1.3%
2 49
 
5.4%
1 156
 
17.1%
0 687
75.2%

지적(합계)
Real number (ℝ)

ZEROS 

Distinct63
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.189485
Minimum0
Maximum74
Zeros217
Zeros (%)23.8%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:36.121480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q321
95-th percentile40
Maximum74
Range74
Interquartile range (IQR)20

Descriptive statistics

Standard deviation14.163682
Coefficient of variation (CV)1.161959
Kurtosis1.5619043
Mean12.189485
Median Absolute Deviation (MAD)7
Skewness1.3544163
Sum11129
Variance200.60989
MonotonicityNot monotonic
2024-03-14T18:53:36.568468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 217
23.8%
1 70
 
7.7%
3 48
 
5.3%
2 46
 
5.0%
7 33
 
3.6%
5 29
 
3.2%
4 28
 
3.1%
9 23
 
2.5%
10 21
 
2.3%
12 21
 
2.3%
Other values (53) 377
41.3%
ValueCountFrequency (%)
0 217
23.8%
1 70
 
7.7%
2 46
 
5.0%
3 48
 
5.3%
4 28
 
3.1%
5 29
 
3.2%
6 16
 
1.8%
7 33
 
3.6%
8 8
 
0.9%
9 23
 
2.5%
ValueCountFrequency (%)
74 1
0.1%
73 1
0.1%
69 2
0.2%
66 1
0.1%
64 1
0.1%
61 1
0.1%
59 1
0.1%
58 1
0.1%
55 2
0.2%
54 2
0.2%

지적(남)
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3855422
Minimum0
Maximum50
Zeros262
Zeros (%)28.7%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:36.990090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q312
95-th percentile25
Maximum50
Range50
Interquartile range (IQR)12

Descriptive statistics

Standard deviation9.09045
Coefficient of variation (CV)1.230844
Kurtosis2.7721332
Mean7.3855422
Median Absolute Deviation (MAD)4
Skewness1.6065127
Sum6743
Variance82.636282
MonotonicityNot monotonic
2024-03-14T18:53:37.456555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 262
28.7%
1 82
 
9.0%
3 58
 
6.4%
2 51
 
5.6%
5 42
 
4.6%
4 41
 
4.5%
9 29
 
3.2%
6 27
 
3.0%
16 24
 
2.6%
10 24
 
2.6%
Other values (34) 273
29.9%
ValueCountFrequency (%)
0 262
28.7%
1 82
 
9.0%
2 51
 
5.6%
3 58
 
6.4%
4 41
 
4.5%
5 42
 
4.6%
6 27
 
3.0%
7 19
 
2.1%
8 17
 
1.9%
9 29
 
3.2%
ValueCountFrequency (%)
50 2
0.2%
49 1
 
0.1%
48 1
 
0.1%
45 1
 
0.1%
43 1
 
0.1%
41 1
 
0.1%
40 2
0.2%
38 2
0.2%
36 1
 
0.1%
35 3
0.3%

지적(여)
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.803943
Minimum0
Maximum30
Zeros284
Zeros (%)31.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:37.810145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q38
95-th percentile16.4
Maximum30
Range30
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.6156019
Coefficient of variation (CV)1.1689568
Kurtosis1.1037121
Mean4.803943
Median Absolute Deviation (MAD)2
Skewness1.2695322
Sum4386
Variance31.534984
MonotonicityNot monotonic
2024-03-14T18:53:38.021326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 284
31.1%
1 113
 
12.4%
2 63
 
6.9%
3 47
 
5.1%
5 44
 
4.8%
4 40
 
4.4%
10 38
 
4.2%
9 36
 
3.9%
6 36
 
3.9%
8 35
 
3.8%
Other values (18) 177
19.4%
ValueCountFrequency (%)
0 284
31.1%
1 113
 
12.4%
2 63
 
6.9%
3 47
 
5.1%
4 40
 
4.4%
5 44
 
4.8%
6 36
 
3.9%
7 32
 
3.5%
8 35
 
3.8%
9 36
 
3.9%
ValueCountFrequency (%)
30 1
 
0.1%
26 1
 
0.1%
25 2
 
0.2%
24 3
 
0.3%
23 1
 
0.1%
22 1
 
0.1%
21 3
 
0.3%
20 5
0.5%
19 7
0.8%
18 12
1.3%

뇌병변(합계)
Real number (ℝ)

ZEROS 

Distinct76
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.393209
Minimum0
Maximum100
Zeros122
Zeros (%)13.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:38.353227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median6
Q318
95-th percentile51
Maximum100
Range100
Interquartile range (IQR)16

Descriptive statistics

Standard deviation17.312018
Coefficient of variation (CV)1.2925967
Kurtosis3.1485154
Mean13.393209
Median Absolute Deviation (MAD)5
Skewness1.8426371
Sum12228
Variance299.70596
MonotonicityNot monotonic
2024-03-14T18:53:38.759019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 122
 
13.4%
1 75
 
8.2%
2 72
 
7.9%
3 72
 
7.9%
5 51
 
5.6%
4 48
 
5.3%
6 39
 
4.3%
8 34
 
3.7%
10 27
 
3.0%
7 27
 
3.0%
Other values (66) 346
37.9%
ValueCountFrequency (%)
0 122
13.4%
1 75
8.2%
2 72
7.9%
3 72
7.9%
4 48
 
5.3%
5 51
5.6%
6 39
 
4.3%
7 27
 
3.0%
8 34
 
3.7%
9 23
 
2.5%
ValueCountFrequency (%)
100 1
 
0.1%
91 1
 
0.1%
83 2
0.2%
81 2
0.2%
80 1
 
0.1%
76 1
 
0.1%
74 2
0.2%
70 3
0.3%
68 1
 
0.1%
67 1
 
0.1%

뇌병변(남)
Real number (ℝ)

ZEROS 

Distinct55
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8247536
Minimum0
Maximum59
Zeros187
Zeros (%)20.5%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:39.086980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q310
95-th percentile31
Maximum59
Range59
Interquartile range (IQR)9

Descriptive statistics

Standard deviation10.732593
Coefficient of variation (CV)1.3716206
Kurtosis4.0498797
Mean7.8247536
Median Absolute Deviation (MAD)3
Skewness2.0167986
Sum7144
Variance115.18855
MonotonicityNot monotonic
2024-03-14T18:53:39.341048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 187
20.5%
1 119
13.0%
3 85
 
9.3%
2 81
 
8.9%
4 51
 
5.6%
5 49
 
5.4%
6 41
 
4.5%
7 28
 
3.1%
10 25
 
2.7%
11 17
 
1.9%
Other values (45) 230
25.2%
ValueCountFrequency (%)
0 187
20.5%
1 119
13.0%
2 81
8.9%
3 85
9.3%
4 51
 
5.6%
5 49
 
5.4%
6 41
 
4.5%
7 28
 
3.1%
8 14
 
1.5%
9 11
 
1.2%
ValueCountFrequency (%)
59 1
0.1%
58 1
0.1%
57 1
0.1%
55 1
0.1%
53 1
0.1%
52 1
0.1%
51 1
0.1%
49 1
0.1%
47 2
0.2%
46 1
0.1%

뇌병변(여)
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.5684556
Minimum0
Maximum47
Zeros219
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:39.633945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q37
95-th percentile22.4
Maximum47
Range47
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.5345674
Coefficient of variation (CV)1.3530803
Kurtosis3.9291908
Mean5.5684556
Median Absolute Deviation (MAD)2
Skewness1.9832334
Sum5084
Variance56.769706
MonotonicityNot monotonic
2024-03-14T18:53:39.874934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 219
24.0%
1 130
14.2%
2 114
12.5%
3 79
 
8.7%
4 52
 
5.7%
5 36
 
3.9%
7 30
 
3.3%
6 27
 
3.0%
9 24
 
2.6%
12 24
 
2.6%
Other values (29) 178
19.5%
ValueCountFrequency (%)
0 219
24.0%
1 130
14.2%
2 114
12.5%
3 79
 
8.7%
4 52
 
5.7%
5 36
 
3.9%
6 27
 
3.0%
7 30
 
3.3%
8 16
 
1.8%
9 24
 
2.6%
ValueCountFrequency (%)
47 1
 
0.1%
41 1
 
0.1%
39 1
 
0.1%
35 1
 
0.1%
34 1
 
0.1%
33 1
 
0.1%
32 3
0.3%
31 4
0.4%
30 5
0.5%
29 3
0.3%

자폐(합계)
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.973713
Minimum0
Maximum29
Zeros628
Zeros (%)68.8%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:40.085648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile12
Maximum29
Range29
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.3071963
Coefficient of variation (CV)2.1822809
Kurtosis9.1137029
Mean1.973713
Median Absolute Deviation (MAD)0
Skewness2.861846
Sum1802
Variance18.55194
MonotonicityNot monotonic
2024-03-14T18:53:40.298684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 628
68.8%
1 56
 
6.1%
2 37
 
4.1%
3 28
 
3.1%
4 26
 
2.8%
5 18
 
2.0%
6 14
 
1.5%
7 13
 
1.4%
9 12
 
1.3%
8 11
 
1.2%
Other values (14) 70
 
7.7%
ValueCountFrequency (%)
0 628
68.8%
1 56
 
6.1%
2 37
 
4.1%
3 28
 
3.1%
4 26
 
2.8%
5 18
 
2.0%
6 14
 
1.5%
7 13
 
1.4%
8 11
 
1.2%
9 12
 
1.3%
ValueCountFrequency (%)
29 2
 
0.2%
25 2
 
0.2%
24 1
 
0.1%
23 2
 
0.2%
19 4
0.4%
18 2
 
0.2%
17 4
0.4%
16 3
 
0.3%
15 6
0.7%
14 9
1.0%

자폐(남)
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6385542
Minimum0
Maximum24
Zeros644
Zeros (%)70.5%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:40.515158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile10
Maximum24
Range24
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.5940867
Coefficient of variation (CV)2.19345
Kurtosis8.3526463
Mean1.6385542
Median Absolute Deviation (MAD)0
Skewness2.7858565
Sum1496
Variance12.917459
MonotonicityNot monotonic
2024-03-14T18:53:40.874043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 644
70.5%
1 52
 
5.7%
2 43
 
4.7%
3 28
 
3.1%
4 25
 
2.7%
7 18
 
2.0%
5 17
 
1.9%
10 15
 
1.6%
8 11
 
1.2%
12 11
 
1.2%
Other values (13) 49
 
5.4%
ValueCountFrequency (%)
0 644
70.5%
1 52
 
5.7%
2 43
 
4.7%
3 28
 
3.1%
4 25
 
2.7%
5 17
 
1.9%
6 10
 
1.1%
7 18
 
2.0%
8 11
 
1.2%
9 8
 
0.9%
ValueCountFrequency (%)
24 1
 
0.1%
23 1
 
0.1%
20 2
 
0.2%
19 2
 
0.2%
18 1
 
0.1%
17 2
 
0.2%
16 1
 
0.1%
15 3
0.3%
14 5
0.5%
13 5
0.5%

자폐(여)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.33515882
Minimum0
Maximum7
Zeros757
Zeros (%)82.9%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:41.227912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.93156243
Coefficient of variation (CV)2.7794657
Kurtosis15.925559
Mean0.33515882
Median Absolute Deviation (MAD)0
Skewness3.7161779
Sum306
Variance0.86780855
MonotonicityNot monotonic
2024-03-14T18:53:41.784837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 757
82.9%
1 83
 
9.1%
2 36
 
3.9%
3 15
 
1.6%
4 11
 
1.2%
5 6
 
0.7%
6 3
 
0.3%
7 2
 
0.2%
ValueCountFrequency (%)
0 757
82.9%
1 83
 
9.1%
2 36
 
3.9%
3 15
 
1.6%
4 11
 
1.2%
5 6
 
0.7%
6 3
 
0.3%
7 2
 
0.2%
ValueCountFrequency (%)
7 2
 
0.2%
6 3
 
0.3%
5 6
 
0.7%
4 11
 
1.2%
3 15
 
1.6%
2 36
 
3.9%
1 83
 
9.1%
0 757
82.9%

정신(합계)
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5750274
Minimum0
Maximum68
Zeros389
Zeros (%)42.6%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:42.190228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q38
95-th percentile31.4
Maximum68
Range68
Interquartile range (IQR)8

Descriptive statistics

Standard deviation10.833524
Coefficient of variation (CV)1.6476775
Kurtosis4.8544668
Mean6.5750274
Median Absolute Deviation (MAD)1
Skewness2.1826678
Sum6003
Variance117.36525
MonotonicityNot monotonic
2024-03-14T18:53:42.635213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 389
42.6%
1 88
 
9.6%
2 50
 
5.5%
3 42
 
4.6%
5 34
 
3.7%
4 29
 
3.2%
6 23
 
2.5%
7 18
 
2.0%
8 17
 
1.9%
10 15
 
1.6%
Other values (40) 208
22.8%
ValueCountFrequency (%)
0 389
42.6%
1 88
 
9.6%
2 50
 
5.5%
3 42
 
4.6%
4 29
 
3.2%
5 34
 
3.7%
6 23
 
2.5%
7 18
 
2.0%
8 17
 
1.9%
9 11
 
1.2%
ValueCountFrequency (%)
68 1
 
0.1%
60 1
 
0.1%
54 3
0.3%
52 1
 
0.1%
50 1
 
0.1%
49 1
 
0.1%
48 1
 
0.1%
46 3
0.3%
44 2
0.2%
41 2
0.2%

정신(남)
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.347207
Minimum0
Maximum34
Zeros467
Zeros (%)51.2%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:43.040937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile15.4
Maximum34
Range34
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.7942553
Coefficient of variation (CV)1.7310717
Kurtosis6.3239046
Mean3.347207
Median Absolute Deviation (MAD)0
Skewness2.3955869
Sum3056
Variance33.573394
MonotonicityNot monotonic
2024-03-14T18:53:43.349531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 467
51.2%
1 94
 
10.3%
2 56
 
6.1%
3 44
 
4.8%
4 30
 
3.3%
6 26
 
2.8%
5 25
 
2.7%
8 20
 
2.2%
7 20
 
2.2%
11 16
 
1.8%
Other values (22) 115
 
12.6%
ValueCountFrequency (%)
0 467
51.2%
1 94
 
10.3%
2 56
 
6.1%
3 44
 
4.8%
4 30
 
3.3%
5 25
 
2.7%
6 26
 
2.8%
7 20
 
2.2%
8 20
 
2.2%
9 13
 
1.4%
ValueCountFrequency (%)
34 2
0.2%
33 1
 
0.1%
32 1
 
0.1%
31 2
0.2%
30 1
 
0.1%
28 2
0.2%
25 2
0.2%
24 4
0.4%
23 3
0.3%
22 3
0.3%

정신(여)
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2278204
Minimum0
Maximum35
Zeros445
Zeros (%)48.7%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:43.572414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile15
Maximum35
Range35
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.3772806
Coefficient of variation (CV)1.6659169
Kurtosis5.0160666
Mean3.2278204
Median Absolute Deviation (MAD)1
Skewness2.2001589
Sum2947
Variance28.915146
MonotonicityNot monotonic
2024-03-14T18:53:43.790803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 445
48.7%
1 107
 
11.7%
2 69
 
7.6%
3 44
 
4.8%
4 33
 
3.6%
7 26
 
2.8%
5 25
 
2.7%
6 22
 
2.4%
9 19
 
2.1%
14 15
 
1.6%
Other values (19) 108
 
11.8%
ValueCountFrequency (%)
0 445
48.7%
1 107
 
11.7%
2 69
 
7.6%
3 44
 
4.8%
4 33
 
3.6%
5 25
 
2.7%
6 22
 
2.4%
7 26
 
2.8%
8 12
 
1.3%
9 19
 
2.1%
ValueCountFrequency (%)
35 1
 
0.1%
30 1
 
0.1%
26 3
0.3%
25 1
 
0.1%
24 4
0.4%
23 1
 
0.1%
22 4
0.4%
21 4
0.4%
20 2
0.2%
19 4
0.4%

신장(합계)
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.8740416
Minimum0
Maximum46
Zeros339
Zeros (%)37.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:44.025975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q39
95-th percentile26
Maximum46
Range46
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.5396723
Coefficient of variation (CV)1.4537984
Kurtosis3.0610051
Mean5.8740416
Median Absolute Deviation (MAD)2
Skewness1.8330934
Sum5363
Variance72.926003
MonotonicityNot monotonic
2024-03-14T18:53:44.359785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 339
37.1%
1 106
 
11.6%
2 59
 
6.5%
3 45
 
4.9%
4 32
 
3.5%
5 29
 
3.2%
6 29
 
3.2%
7 25
 
2.7%
10 23
 
2.5%
13 17
 
1.9%
Other values (31) 209
22.9%
ValueCountFrequency (%)
0 339
37.1%
1 106
 
11.6%
2 59
 
6.5%
3 45
 
4.9%
4 32
 
3.5%
5 29
 
3.2%
6 29
 
3.2%
7 25
 
2.7%
8 16
 
1.8%
9 16
 
1.8%
ValueCountFrequency (%)
46 1
 
0.1%
44 2
0.2%
41 1
 
0.1%
39 1
 
0.1%
38 1
 
0.1%
35 3
0.3%
34 1
 
0.1%
33 4
0.4%
32 3
0.3%
31 1
 
0.1%

신장(남)
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5104053
Minimum0
Maximum31
Zeros394
Zeros (%)43.2%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:44.724967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile15
Maximum31
Range31
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.3323894
Coefficient of variation (CV)1.5190239
Kurtosis3.992941
Mean3.5104053
Median Absolute Deviation (MAD)1
Skewness1.9903467
Sum3205
Variance28.434376
MonotonicityNot monotonic
2024-03-14T18:53:45.118803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 394
43.2%
1 122
 
13.4%
2 72
 
7.9%
4 42
 
4.6%
3 38
 
4.2%
6 29
 
3.2%
5 27
 
3.0%
8 26
 
2.8%
7 25
 
2.7%
11 20
 
2.2%
Other values (19) 118
 
12.9%
ValueCountFrequency (%)
0 394
43.2%
1 122
 
13.4%
2 72
 
7.9%
3 38
 
4.2%
4 42
 
4.6%
5 27
 
3.0%
6 29
 
3.2%
7 25
 
2.7%
8 26
 
2.8%
9 15
 
1.6%
ValueCountFrequency (%)
31 1
 
0.1%
30 1
 
0.1%
28 1
 
0.1%
25 2
 
0.2%
24 2
 
0.2%
23 2
 
0.2%
22 1
 
0.1%
21 9
1.0%
20 4
0.4%
19 5
0.5%

신장(여)
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3636364
Minimum0
Maximum23
Zeros448
Zeros (%)49.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:45.491213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile10
Maximum23
Range23
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.6023982
Coefficient of variation (CV)1.5240915
Kurtosis4.0027243
Mean2.3636364
Median Absolute Deviation (MAD)1
Skewness1.9653743
Sum2158
Variance12.977273
MonotonicityNot monotonic
2024-03-14T18:53:45.858659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 448
49.1%
1 103
 
11.3%
2 78
 
8.5%
3 62
 
6.8%
4 42
 
4.6%
5 33
 
3.6%
6 28
 
3.1%
8 22
 
2.4%
7 22
 
2.4%
10 21
 
2.3%
Other values (11) 54
 
5.9%
ValueCountFrequency (%)
0 448
49.1%
1 103
 
11.3%
2 78
 
8.5%
3 62
 
6.8%
4 42
 
4.6%
5 33
 
3.6%
6 28
 
3.1%
7 22
 
2.4%
8 22
 
2.4%
9 15
 
1.6%
ValueCountFrequency (%)
23 1
 
0.1%
19 1
 
0.1%
18 1
 
0.1%
17 2
 
0.2%
16 4
0.4%
15 3
 
0.3%
14 6
0.7%
13 6
0.7%
12 7
0.8%
11 8
0.9%

심장(합계)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
0
729 
1
144 
2
 
36
3
 
3
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 729
79.8%
1 144
 
15.8%
2 36
 
3.9%
3 3
 
0.3%
4 1
 
0.1%

Length

2024-03-14T18:53:46.230005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:53:46.537546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 729
79.8%
1 144
 
15.8%
2 36
 
3.9%
3 3
 
0.3%
4 1
 
0.1%

심장(남)
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
0
777 
1
117 
2
 
18
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 777
85.1%
1 117
 
12.8%
2 18
 
2.0%
3 1
 
0.1%

Length

2024-03-14T18:53:46.885141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:53:47.187938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 777
85.1%
1 117
 
12.8%
2 18
 
2.0%
3 1
 
0.1%

심장(여)
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
0
844 
1
 
65
2
 
4

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 (%)
0 844
92.4%
1 65
 
7.1%
2 4
 
0.4%

Length

2024-03-14T18:53:47.522137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:53:47.825198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 844
92.4%
1 65
 
7.1%
2 4
 
0.4%

호흡기(합계)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.42387733
Minimum0
Maximum7
Zeros709
Zeros (%)77.7%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:48.099078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.4
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.98283485
Coefficient of variation (CV)2.3186776
Kurtosis11.512025
Mean0.42387733
Median Absolute Deviation (MAD)0
Skewness3.0918902
Sum387
Variance0.96596434
MonotonicityNot monotonic
2024-03-14T18:53:48.460945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 709
77.7%
1 103
 
11.3%
2 55
 
6.0%
3 28
 
3.1%
4 8
 
0.9%
5 4
 
0.4%
6 4
 
0.4%
7 2
 
0.2%
ValueCountFrequency (%)
0 709
77.7%
1 103
 
11.3%
2 55
 
6.0%
3 28
 
3.1%
4 8
 
0.9%
5 4
 
0.4%
6 4
 
0.4%
7 2
 
0.2%
ValueCountFrequency (%)
7 2
 
0.2%
6 4
 
0.4%
5 4
 
0.4%
4 8
 
0.9%
3 28
 
3.1%
2 55
 
6.0%
1 103
 
11.3%
0 709
77.7%

호흡기(남)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.33296824
Minimum0
Maximum7
Zeros740
Zeros (%)81.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:48.805954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.84343287
Coefficient of variation (CV)2.5330731
Kurtosis14.372026
Mean0.33296824
Median Absolute Deviation (MAD)0
Skewness3.4070023
Sum304
Variance0.71137901
MonotonicityNot monotonic
2024-03-14T18:53:49.172416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 740
81.1%
1 97
 
10.6%
2 43
 
4.7%
3 21
 
2.3%
4 6
 
0.7%
5 3
 
0.3%
6 2
 
0.2%
7 1
 
0.1%
ValueCountFrequency (%)
0 740
81.1%
1 97
 
10.6%
2 43
 
4.7%
3 21
 
2.3%
4 6
 
0.7%
5 3
 
0.3%
6 2
 
0.2%
7 1
 
0.1%
ValueCountFrequency (%)
7 1
 
0.1%
6 2
 
0.2%
5 3
 
0.3%
4 6
 
0.7%
3 21
 
2.3%
2 43
 
4.7%
1 97
 
10.6%
0 740
81.1%

호흡기(여)
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
0
843 
1
 
57
2
 
13

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 (%)
0 843
92.3%
1 57
 
6.2%
2 13
 
1.4%

Length

2024-03-14T18:53:49.562502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:53:49.857870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 843
92.3%
1 57
 
6.2%
2 13
 
1.4%

간(합계)
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.83023001
Minimum0
Maximum15
Zeros624
Zeros (%)68.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:50.142883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum15
Range15
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.8193302
Coefficient of variation (CV)2.1913568
Kurtosis15.860262
Mean0.83023001
Median Absolute Deviation (MAD)0
Skewness3.5049399
Sum758
Variance3.3099623
MonotonicityNot monotonic
2024-03-14T18:53:50.521652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 624
68.3%
1 136
 
14.9%
2 47
 
5.1%
3 39
 
4.3%
4 22
 
2.4%
5 16
 
1.8%
6 8
 
0.9%
7 7
 
0.8%
10 4
 
0.4%
9 4
 
0.4%
Other values (3) 6
 
0.7%
ValueCountFrequency (%)
0 624
68.3%
1 136
 
14.9%
2 47
 
5.1%
3 39
 
4.3%
4 22
 
2.4%
5 16
 
1.8%
6 8
 
0.9%
7 7
 
0.8%
8 2
 
0.2%
9 4
 
0.4%
ValueCountFrequency (%)
15 2
 
0.2%
12 2
 
0.2%
10 4
 
0.4%
9 4
 
0.4%
8 2
 
0.2%
7 7
 
0.8%
6 8
 
0.9%
5 16
1.8%
4 22
2.4%
3 39
4.3%

간(남)
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.55859803
Minimum0
Maximum14
Zeros705
Zeros (%)77.2%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:50.860219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.4399969
Coefficient of variation (CV)2.5778768
Kurtosis20.021774
Mean0.55859803
Median Absolute Deviation (MAD)0
Skewness3.9487741
Sum510
Variance2.073591
MonotonicityNot monotonic
2024-03-14T18:53:51.045300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 705
77.2%
1 99
 
10.8%
2 38
 
4.2%
3 27
 
3.0%
4 18
 
2.0%
5 9
 
1.0%
9 5
 
0.5%
6 4
 
0.4%
7 4
 
0.4%
8 2
 
0.2%
Other values (2) 2
 
0.2%
ValueCountFrequency (%)
0 705
77.2%
1 99
 
10.8%
2 38
 
4.2%
3 27
 
3.0%
4 18
 
2.0%
5 9
 
1.0%
6 4
 
0.4%
7 4
 
0.4%
8 2
 
0.2%
9 5
 
0.5%
ValueCountFrequency (%)
14 1
 
0.1%
10 1
 
0.1%
9 5
 
0.5%
8 2
 
0.2%
7 4
 
0.4%
6 4
 
0.4%
5 9
 
1.0%
4 18
2.0%
3 27
3.0%
2 38
4.2%

간(여)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.27163198
Minimum0
Maximum5
Zeros734
Zeros (%)80.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:51.234651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.4
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6494222
Coefficient of variation (CV)2.3908164
Kurtosis13.538649
Mean0.27163198
Median Absolute Deviation (MAD)0
Skewness3.2268199
Sum248
Variance0.4217492
MonotonicityNot monotonic
2024-03-14T18:53:51.575208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 734
80.4%
1 133
 
14.6%
2 30
 
3.3%
3 12
 
1.3%
5 3
 
0.3%
4 1
 
0.1%
ValueCountFrequency (%)
0 734
80.4%
1 133
 
14.6%
2 30
 
3.3%
3 12
 
1.3%
4 1
 
0.1%
5 3
 
0.3%
ValueCountFrequency (%)
5 3
 
0.3%
4 1
 
0.1%
3 12
 
1.3%
2 30
 
3.3%
1 133
 
14.6%
0 734
80.4%

안면(합계)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
0
792 
1
100 
2
 
17
3
 
3
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 792
86.7%
1 100
 
11.0%
2 17
 
1.9%
3 3
 
0.3%
4 1
 
0.1%

Length

2024-03-14T18:53:51.950737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:53:52.259144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 792
86.7%
1 100
 
11.0%
2 17
 
1.9%
3 3
 
0.3%
4 1
 
0.1%

안면(남)
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
0
836 
1
 
69
2
 
7
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 836
91.6%
1 69
 
7.6%
2 7
 
0.8%
3 1
 
0.1%

Length

2024-03-14T18:53:52.621803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:53:52.949361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 836
91.6%
1 69
 
7.6%
2 7
 
0.8%
3 1
 
0.1%

안면(여)
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
0
858 
1
 
49
2
 
6

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 (%)
0 858
94.0%
1 49
 
5.4%
2 6
 
0.7%

Length

2024-03-14T18:53:53.279027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:53:53.573127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 858
94.0%
1 49
 
5.4%
2 6
 
0.7%

장루_요루(합계)
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.74917853
Minimum0
Maximum10
Zeros603
Zeros (%)66.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:53.877990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum10
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3913745
Coefficient of variation (CV)1.8572002
Kurtosis7.9053015
Mean0.74917853
Median Absolute Deviation (MAD)0
Skewness2.549767
Sum684
Variance1.9359231
MonotonicityNot monotonic
2024-03-14T18:53:54.244588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 603
66.0%
1 138
 
15.1%
2 78
 
8.5%
3 42
 
4.6%
4 26
 
2.8%
5 13
 
1.4%
7 8
 
0.9%
6 2
 
0.2%
8 1
 
0.1%
9 1
 
0.1%
ValueCountFrequency (%)
0 603
66.0%
1 138
 
15.1%
2 78
 
8.5%
3 42
 
4.6%
4 26
 
2.8%
5 13
 
1.4%
6 2
 
0.2%
7 8
 
0.9%
8 1
 
0.1%
9 1
 
0.1%
ValueCountFrequency (%)
10 1
 
0.1%
9 1
 
0.1%
8 1
 
0.1%
7 8
 
0.9%
6 2
 
0.2%
5 13
 
1.4%
4 26
 
2.8%
3 42
 
4.6%
2 78
8.5%
1 138
15.1%

장루_요루(남)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.43921139
Minimum0
Maximum6
Zeros671
Zeros (%)73.5%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:54.573659image/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 deviation0.89152702
Coefficient of variation (CV)2.0298358
Kurtosis7.4515916
Mean0.43921139
Median Absolute Deviation (MAD)0
Skewness2.5565187
Sum401
Variance0.79482043
MonotonicityNot monotonic
2024-03-14T18:53:54.927163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 671
73.5%
1 144
 
15.8%
2 59
 
6.5%
3 24
 
2.6%
4 9
 
1.0%
5 5
 
0.5%
6 1
 
0.1%
ValueCountFrequency (%)
0 671
73.5%
1 144
 
15.8%
2 59
 
6.5%
3 24
 
2.6%
4 9
 
1.0%
5 5
 
0.5%
6 1
 
0.1%
ValueCountFrequency (%)
6 1
 
0.1%
5 5
 
0.5%
4 9
 
1.0%
3 24
 
2.6%
2 59
 
6.5%
1 144
 
15.8%
0 671
73.5%

장루_요루(여)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.30996714
Minimum0
Maximum5
Zeros722
Zeros (%)79.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:55.226969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.71885577
Coefficient of variation (CV)2.3191354
Kurtosis11.317571
Mean0.30996714
Median Absolute Deviation (MAD)0
Skewness3.0456959
Sum283
Variance0.51675362
MonotonicityNot monotonic
2024-03-14T18:53:55.597876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 722
79.1%
1 130
 
14.2%
2 42
 
4.6%
3 10
 
1.1%
4 6
 
0.7%
5 3
 
0.3%
ValueCountFrequency (%)
0 722
79.1%
1 130
 
14.2%
2 42
 
4.6%
3 10
 
1.1%
4 6
 
0.7%
5 3
 
0.3%
ValueCountFrequency (%)
5 3
 
0.3%
4 6
 
0.7%
3 10
 
1.1%
2 42
 
4.6%
1 130
 
14.2%
0 722
79.1%

뇌전증(합계)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.35815991
Minimum0
Maximum5
Zeros704
Zeros (%)77.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-03-14T18:53:55.782020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.77507902
Coefficient of variation (CV)2.1640585
Kurtosis7.1694866
Mean0.35815991
Median Absolute Deviation (MAD)0
Skewness2.582747
Sum327
Variance0.60074749
MonotonicityNot monotonic
2024-03-14T18:53:55.972999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 704
77.1%
1 130
 
14.2%
2 51
 
5.6%
3 18
 
2.0%
4 9
 
1.0%
5 1
 
0.1%
ValueCountFrequency (%)
0 704
77.1%
1 130
 
14.2%
2 51
 
5.6%
3 18
 
2.0%
4 9
 
1.0%
5 1
 
0.1%
ValueCountFrequency (%)
5 1
 
0.1%
4 9
 
1.0%
3 18
 
2.0%
2 51
 
5.6%
1 130
 
14.2%
0 704
77.1%

뇌전증(남)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
0
782 
1
95 
2
 
28
3
 
5
4
 
3

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 (%)
0 782
85.7%
1 95
 
10.4%
2 28
 
3.1%
3 5
 
0.5%
4 3
 
0.3%

Length

2024-03-14T18:53:56.192746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:53:56.505361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 782
85.7%
1 95
 
10.4%
2 28
 
3.1%
3 5
 
0.5%
4 3
 
0.3%

뇌전증(여)
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
0
790 
1
100 
2
 
20
3
 
3

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 (%)
0 790
86.5%
1 100
 
11.0%
2 20
 
2.2%
3 3
 
0.3%

Length

2024-03-14T18:53:56.846008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:53:57.157007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 790
86.5%
1 100
 
11.0%
2 20
 
2.2%
3 3
 
0.3%

Sample

구분나이합계지체(합계)지체(남)지체(여)시각(합계)시각(남)시각(여)청각(합계)청각(남)청각(여)언어(합계)언어(남)언어(여)지적(합계)지적(남)지적(여)뇌병변(합계)뇌병변(남)뇌병변(여)자폐(합계)자폐(남)자폐(여)정신(합계)정신(남)정신(여)신장(합계)신장(남)신장(여)심장(합계)심장(남)심장(여)호흡기(합계)호흡기(남)호흡기(여)간(합계)간(남)간(여)안면(합계)안면(남)안면(여)장루_요루(합계)장루_요루(남)장루_요루(여)뇌전증(합계)뇌전증(남)뇌전증(여)
0대구광역시 중구11000110000000000000000000000000000000000000000
1대구광역시 중구24000000101000000312000000000000000000000000000
2대구광역시 중구32000000110000000101000000000000000000000000000
3대구광역시 중구44000000000101000220101000000000000000000000000
4대구광역시 중구59000000000541110110211000000000000000000000000
5대구광역시 중구618220000000220651312541000000000000000000000000
6대구광역시 중구713101202000312303000413000000000000000000000000
7대구광역시 중구814000000110000761101550000000000000000000000000
8대구광역시 중구911000110101220642101000000000000000000000000000
9대구광역시 중구107000000110000312000321000000000000000000000000
구분나이합계지체(합계)지체(남)지체(여)시각(합계)시각(남)시각(여)청각(합계)청각(남)청각(여)언어(합계)언어(남)언어(여)지적(합계)지적(남)지적(여)뇌병변(합계)뇌병변(남)뇌병변(여)자폐(합계)자폐(남)자폐(여)정신(합계)정신(남)정신(여)신장(합계)신장(남)신장(여)심장(합계)심장(남)심장(여)호흡기(합계)호흡기(남)호흡기(여)간(합계)간(남)간(여)안면(합계)안면(남)안면(여)장루_요루(합계)장루_요루(남)장루_요루(여)뇌전증(합계)뇌전증(남)뇌전증(여)
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