Overview

Dataset statistics

Number of variables48
Number of observations799
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory336.4 KiB
Average record size in memory431.2 B

Variable types

Categorical12
Numeric36

Dataset

Description대구 지역 장애인등록현황(연령별유형별)2015년12월말 기준
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15045373&dataSetDetailId=15045373189dd3293bf48_201705311619&provdMethod=FILE

Alerts

언어(여) is highly imbalanced (55.9%)Imbalance
심장(남) is highly imbalanced (63.1%)Imbalance
심장(여) is highly imbalanced (63.8%)Imbalance
심장(합계) is highly imbalanced (55.3%)Imbalance
호흡기(여) is highly imbalanced (72.6%)Imbalance
간(여) is highly imbalanced (70.1%)Imbalance
안면(남) is highly imbalanced (75.9%)Imbalance
안면(여) is highly imbalanced (76.5%)Imbalance
안면(합계) is highly imbalanced (65.1%)Imbalance
뇌전증(남) is highly imbalanced (66.2%)Imbalance
뇌전증(여) is highly imbalanced (68.1%)Imbalance
지체(남) has 148 (18.5%) zerosZeros
지체(여) has 137 (17.1%) zerosZeros
지체(합계) has 92 (11.5%) zerosZeros
시각(남) has 167 (20.9%) zerosZeros
시각(여) has 194 (24.3%) zerosZeros
시각(합계) has 116 (14.5%) zerosZeros
청각(남) has 144 (18.0%) zerosZeros
청각(여) has 148 (18.5%) zerosZeros
청각(합계) has 63 (7.9%) zerosZeros
언어(남) has 419 (52.4%) zerosZeros
언어(합계) has 359 (44.9%) zerosZeros
지적(남) has 227 (28.4%) zerosZeros
지적(여) has 246 (30.8%) zerosZeros
지적(합계) has 189 (23.7%) zerosZeros
뇌병변(남) has 129 (16.1%) zerosZeros
뇌병변(여) has 145 (18.1%) zerosZeros
뇌병변(합계) has 66 (8.3%) zerosZeros
자폐(남) has 609 (76.2%) zerosZeros
자폐(여) has 702 (87.9%) zerosZeros
자폐(합계) has 594 (74.3%) zerosZeros
정신(남) has 393 (49.2%) zerosZeros
정신(여) has 377 (47.2%) zerosZeros
정신(합계) has 330 (41.3%) zerosZeros
신장(남) has 352 (44.1%) zerosZeros
신장(여) has 376 (47.1%) zerosZeros
신장(합계) has 301 (37.7%) zerosZeros
호흡기(남) has 598 (74.8%) zerosZeros
호흡기(합계) has 572 (71.6%) zerosZeros
간(남) has 637 (79.7%) zerosZeros
간(합계) has 588 (73.6%) zerosZeros
장루.요루(남) has 585 (73.2%) zerosZeros
장루.요루(여) has 626 (78.3%) zerosZeros
장루.요루(합계) has 506 (63.3%) zerosZeros
뇌전증(합계) has 614 (76.8%) zerosZeros

Reproduction

Analysis started2024-04-21 09:53:19.084484
Analysis finished2024-04-21 09:53:19.619394
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
수성구
103 
달서구
101 
동구
100 
서구
100 
북구
100 
Other values (3)
295 

Length

Max length3
Median length2
Mean length2.379224
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수성구 103
12.9%
달서구 101
12.6%
동구 100
12.5%
서구 100
12.5%
북구 100
12.5%
남구 99
12.4%
달성군 99
12.4%
중구 97
12.1%

Length

2024-04-21T18:53:19.815272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:53:20.166285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수성구 103
12.9%
달서구 101
12.6%
동구 100
12.5%
서구 100
12.5%
북구 100
12.5%
남구 99
12.4%
달성군 99
12.4%
중구 97
12.1%

나이
Real number (ℝ)

Distinct105
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.590738
Minimum0
Maximum107
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-21T18:53:20.592205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q126
median51
Q375.5
95-th percentile95.1
Maximum107
Range107
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation28.907882
Coefficient of variation (CV)0.5714066
Kurtosis-1.1898568
Mean50.590738
Median Absolute Deviation (MAD)25
Skewness0.0060310982
Sum40422
Variance835.66563
MonotonicityNot monotonic
2024-04-21T18:53:21.029934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55 8
 
1.0%
51 8
 
1.0%
73 8
 
1.0%
72 8
 
1.0%
71 8
 
1.0%
70 8
 
1.0%
69 8
 
1.0%
68 8
 
1.0%
67 8
 
1.0%
66 8
 
1.0%
Other values (95) 719
90.0%
ValueCountFrequency (%)
0 1
 
0.1%
1 7
0.9%
2 7
0.9%
3 8
1.0%
4 8
1.0%
5 8
1.0%
6 8
1.0%
7 8
1.0%
8 8
1.0%
9 8
1.0%
ValueCountFrequency (%)
107 1
 
0.1%
103 1
 
0.1%
102 2
 
0.3%
101 3
 
0.4%
100 4
0.5%
99 8
1.0%
98 6
0.8%
97 8
1.0%
96 7
0.9%
95 8
1.0%

합계
Real number (ℝ)

Distinct338
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean144.81477
Minimum1
Maximum752
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-21T18:53:21.432951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q130
median85
Q3222
95-th percentile458
Maximum752
Range751
Interquartile range (IQR)192

Descriptive statistics

Standard deviation152.03708
Coefficient of variation (CV)1.0498728
Kurtosis1.3167233
Mean144.81477
Median Absolute Deviation (MAD)71
Skewness1.3518318
Sum115707
Variance23115.274
MonotonicityNot monotonic
2024-04-21T18:53:21.877038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 20
 
2.5%
1 19
 
2.4%
3 15
 
1.9%
6 12
 
1.5%
11 10
 
1.3%
50 10
 
1.3%
7 9
 
1.1%
27 9
 
1.1%
77 8
 
1.0%
38 8
 
1.0%
Other values (328) 679
85.0%
ValueCountFrequency (%)
1 19
2.4%
2 20
2.5%
3 15
1.9%
4 3
 
0.4%
5 5
 
0.6%
6 12
1.5%
7 9
1.1%
8 7
 
0.9%
9 5
 
0.6%
10 7
 
0.9%
ValueCountFrequency (%)
752 1
0.1%
732 1
0.1%
731 1
0.1%
704 1
0.1%
684 1
0.1%
679 1
0.1%
669 1
0.1%
648 1
0.1%
630 1
0.1%
595 1
0.1%

지체(남)
Real number (ℝ)

ZEROS 

Distinct172
Distinct (%)21.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.266583
Minimum0
Maximum304
Zeros148
Zeros (%)18.5%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-21T18:53:22.296288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median17
Q367
95-th percentile162
Maximum304
Range304
Interquartile range (IQR)66

Descriptive statistics

Standard deviation56.730469
Coefficient of variation (CV)1.3422062
Kurtosis3.4673087
Mean42.266583
Median Absolute Deviation (MAD)17
Skewness1.8297052
Sum33771
Variance3218.3461
MonotonicityNot monotonic
2024-04-21T18:53:22.730408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 148
 
18.5%
1 54
 
6.8%
2 28
 
3.5%
4 24
 
3.0%
3 20
 
2.5%
5 19
 
2.4%
6 17
 
2.1%
7 14
 
1.8%
8 13
 
1.6%
10 12
 
1.5%
Other values (162) 450
56.3%
ValueCountFrequency (%)
0 148
18.5%
1 54
 
6.8%
2 28
 
3.5%
3 20
 
2.5%
4 24
 
3.0%
5 19
 
2.4%
6 17
 
2.1%
7 14
 
1.8%
8 13
 
1.6%
9 10
 
1.3%
ValueCountFrequency (%)
304 1
0.1%
301 1
0.1%
297 1
0.1%
292 1
0.1%
281 1
0.1%
261 1
0.1%
254 1
0.1%
251 1
0.1%
244 1
0.1%
240 1
0.1%

지체(여)
Real number (ℝ)

ZEROS 

Distinct133
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.219024
Minimum0
Maximum192
Zeros137
Zeros (%)17.1%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-21T18:53:23.351452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9
Q342.5
95-th percentile113.1
Maximum192
Range192
Interquartile range (IQR)41.5

Descriptive statistics

Standard deviation37.494572
Coefficient of variation (CV)1.3286984
Kurtosis1.5136779
Mean28.219024
Median Absolute Deviation (MAD)9
Skewness1.5243388
Sum22547
Variance1405.8429
MonotonicityNot monotonic
2024-04-21T18:53:23.803903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 137
 
17.1%
1 78
 
9.8%
2 39
 
4.9%
3 34
 
4.3%
4 27
 
3.4%
5 25
 
3.1%
6 21
 
2.6%
9 17
 
2.1%
8 15
 
1.9%
7 12
 
1.5%
Other values (123) 394
49.3%
ValueCountFrequency (%)
0 137
17.1%
1 78
9.8%
2 39
 
4.9%
3 34
 
4.3%
4 27
 
3.4%
5 25
 
3.1%
6 21
 
2.6%
7 12
 
1.5%
8 15
 
1.9%
9 17
 
2.1%
ValueCountFrequency (%)
192 1
0.1%
156 1
0.1%
154 1
0.1%
152 1
0.1%
151 1
0.1%
149 2
0.3%
145 1
0.1%
142 1
0.1%
141 1
0.1%
140 1
0.1%

지체(합계)
Real number (ℝ)

ZEROS 

Distinct235
Distinct (%)29.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.485607
Minimum0
Maximum431
Zeros92
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-21T18:53:24.232812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median30
Q3112.5
95-th percentile253.4
Maximum431
Range431
Interquartile range (IQR)108.5

Descriptive statistics

Standard deviation87.584557
Coefficient of variation (CV)1.2425878
Kurtosis1.6978096
Mean70.485607
Median Absolute Deviation (MAD)29
Skewness1.4710889
Sum56318
Variance7671.0546
MonotonicityNot monotonic
2024-04-21T18:53:24.649492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 92
 
11.5%
1 59
 
7.4%
2 28
 
3.5%
3 20
 
2.5%
6 18
 
2.3%
4 14
 
1.8%
13 13
 
1.6%
8 13
 
1.6%
5 12
 
1.5%
7 12
 
1.5%
Other values (225) 518
64.8%
ValueCountFrequency (%)
0 92
11.5%
1 59
7.4%
2 28
 
3.5%
3 20
 
2.5%
4 14
 
1.8%
5 12
 
1.5%
6 18
 
2.3%
7 12
 
1.5%
8 13
 
1.6%
9 9
 
1.1%
ValueCountFrequency (%)
431 1
0.1%
423 1
0.1%
417 1
0.1%
413 1
0.1%
399 1
0.1%
384 1
0.1%
364 1
0.1%
356 1
0.1%
355 1
0.1%
343 1
0.1%

시각(남)
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.0913642
Minimum0
Maximum48
Zeros167
Zeros (%)20.9%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-21T18:53:25.054042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q315
95-th percentile31
Maximum48
Range48
Interquartile range (IQR)14

Descriptive statistics

Standard deviation10.352698
Coefficient of variation (CV)1.1387398
Kurtosis1.0415509
Mean9.0913642
Median Absolute Deviation (MAD)5
Skewness1.301256
Sum7264
Variance107.17836
MonotonicityNot monotonic
2024-04-21T18:53:25.494670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 167
20.9%
1 90
 
11.3%
2 49
 
6.1%
3 39
 
4.9%
5 37
 
4.6%
4 32
 
4.0%
7 32
 
4.0%
6 29
 
3.6%
11 20
 
2.5%
8 20
 
2.5%
Other values (38) 284
35.5%
ValueCountFrequency (%)
0 167
20.9%
1 90
11.3%
2 49
 
6.1%
3 39
 
4.9%
4 32
 
4.0%
5 37
 
4.6%
6 29
 
3.6%
7 32
 
4.0%
8 20
 
2.5%
9 19
 
2.4%
ValueCountFrequency (%)
48 1
 
0.1%
47 1
 
0.1%
46 1
 
0.1%
45 1
 
0.1%
44 1
 
0.1%
42 2
0.3%
41 1
 
0.1%
40 1
 
0.1%
39 2
0.3%
38 3
0.4%

시각(여)
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1789737
Minimum0
Maximum38
Zeros194
Zeros (%)24.3%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-21T18:53:25.884096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q310
95-th percentile22
Maximum38
Range38
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.436229
Coefficient of variation (CV)1.2034732
Kurtosis1.7781616
Mean6.1789737
Median Absolute Deviation (MAD)3
Skewness1.4891155
Sum4937
Variance55.297502
MonotonicityNot monotonic
2024-04-21T18:53:26.298131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 194
24.3%
1 107
13.4%
2 72
 
9.0%
3 50
 
6.3%
5 35
 
4.4%
4 35
 
4.4%
7 31
 
3.9%
8 28
 
3.5%
6 26
 
3.3%
10 21
 
2.6%
Other values (26) 200
25.0%
ValueCountFrequency (%)
0 194
24.3%
1 107
13.4%
2 72
 
9.0%
3 50
 
6.3%
4 35
 
4.4%
5 35
 
4.4%
6 26
 
3.3%
7 31
 
3.9%
8 28
 
3.5%
9 20
 
2.5%
ValueCountFrequency (%)
38 1
 
0.1%
36 1
 
0.1%
33 3
0.4%
32 1
 
0.1%
31 3
0.4%
30 2
0.3%
29 2
0.3%
28 2
0.3%
27 2
0.3%
26 4
0.5%

시각(합계)
Real number (ℝ)

ZEROS 

Distinct70
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.270338
Minimum0
Maximum84
Zeros116
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-21T18:53:26.713814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median9
Q325
95-th percentile52
Maximum84
Range84
Interquartile range (IQR)23

Descriptive statistics

Standard deviation17.051066
Coefficient of variation (CV)1.1166135
Kurtosis1.0836486
Mean15.270338
Median Absolute Deviation (MAD)8
Skewness1.2985717
Sum12201
Variance290.73886
MonotonicityNot monotonic
2024-04-21T18:53:27.130156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 116
 
14.5%
1 77
 
9.6%
2 48
 
6.0%
3 36
 
4.5%
5 34
 
4.3%
4 28
 
3.5%
9 26
 
3.3%
6 20
 
2.5%
7 19
 
2.4%
8 19
 
2.4%
Other values (60) 376
47.1%
ValueCountFrequency (%)
0 116
14.5%
1 77
9.6%
2 48
6.0%
3 36
 
4.5%
4 28
 
3.5%
5 34
 
4.3%
6 20
 
2.5%
7 19
 
2.4%
8 19
 
2.4%
9 26
 
3.3%
ValueCountFrequency (%)
84 1
 
0.1%
77 1
 
0.1%
76 2
0.3%
74 1
 
0.1%
73 1
 
0.1%
72 1
 
0.1%
68 1
 
0.1%
65 3
0.4%
63 2
0.3%
62 1
 
0.1%

청각(남)
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5531915
Minimum0
Maximum50
Zeros144
Zeros (%)18.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-21T18:53:27.530238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q311
95-th percentile30
Maximum50
Range50
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.5672982
Coefficient of variation (CV)1.2666564
Kurtosis2.7066802
Mean7.5531915
Median Absolute Deviation (MAD)3
Skewness1.742492
Sum6035
Variance91.533195
MonotonicityNot monotonic
2024-04-21T18:53:27.959007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0 144
18.0%
1 120
15.0%
2 74
 
9.3%
3 67
 
8.4%
4 48
 
6.0%
5 31
 
3.9%
6 28
 
3.5%
7 27
 
3.4%
8 22
 
2.8%
9 18
 
2.3%
Other values (35) 220
27.5%
ValueCountFrequency (%)
0 144
18.0%
1 120
15.0%
2 74
9.3%
3 67
8.4%
4 48
 
6.0%
5 31
 
3.9%
6 28
 
3.5%
7 27
 
3.4%
8 22
 
2.8%
9 18
 
2.3%
ValueCountFrequency (%)
50 1
 
0.1%
48 1
 
0.1%
46 1
 
0.1%
44 3
0.4%
43 1
 
0.1%
42 2
0.3%
41 1
 
0.1%
39 2
0.3%
37 1
 
0.1%
36 2
0.3%

청각(여)
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.6157697
Minimum0
Maximum40
Zeros148
Zeros (%)18.5%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-21T18:53:28.360746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q310
95-th percentile26
Maximum40
Range40
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.247354
Coefficient of variation (CV)1.2466205
Kurtosis2.1844868
Mean6.6157697
Median Absolute Deviation (MAD)3
Skewness1.644656
Sum5286
Variance68.018849
MonotonicityNot monotonic
2024-04-21T18:53:28.808211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0 148
18.5%
1 135
16.9%
2 101
12.6%
3 46
 
5.8%
4 37
 
4.6%
5 31
 
3.9%
8 31
 
3.9%
6 27
 
3.4%
7 23
 
2.9%
10 23
 
2.9%
Other values (30) 197
24.7%
ValueCountFrequency (%)
0 148
18.5%
1 135
16.9%
2 101
12.6%
3 46
 
5.8%
4 37
 
4.6%
5 31
 
3.9%
6 27
 
3.4%
7 23
 
2.9%
8 31
 
3.9%
9 13
 
1.6%
ValueCountFrequency (%)
40 1
 
0.1%
39 2
 
0.3%
37 1
 
0.1%
36 1
 
0.1%
35 3
0.4%
34 1
 
0.1%
33 1
 
0.1%
32 3
0.4%
31 1
 
0.1%
30 5
0.6%

청각(합계)
Real number (ℝ)

ZEROS 

Distinct70
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.168961
Minimum0
Maximum81
Zeros63
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-21T18:53:29.243603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median6
Q321
95-th percentile54
Maximum81
Range81
Interquartile range (IQR)19

Descriptive statistics

Standard deviation17.105752
Coefficient of variation (CV)1.2072693
Kurtosis1.8871893
Mean14.168961
Median Absolute Deviation (MAD)5
Skewness1.5883465
Sum11321
Variance292.60675
MonotonicityNot monotonic
2024-04-21T18:53:29.703465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 93
 
11.6%
2 68
 
8.5%
3 65
 
8.1%
0 63
 
7.9%
4 53
 
6.6%
5 40
 
5.0%
7 28
 
3.5%
6 24
 
3.0%
9 17
 
2.1%
12 17
 
2.1%
Other values (60) 331
41.4%
ValueCountFrequency (%)
0 63
7.9%
1 93
11.6%
2 68
8.5%
3 65
8.1%
4 53
6.6%
5 40
5.0%
6 24
 
3.0%
7 28
 
3.5%
8 13
 
1.6%
9 17
 
2.1%
ValueCountFrequency (%)
81 3
0.4%
75 1
 
0.1%
73 2
0.3%
70 1
 
0.1%
69 1
 
0.1%
68 1
 
0.1%
65 4
0.5%
63 1
 
0.1%
62 4
0.5%
61 1
 
0.1%

언어(남)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.94743429
Minimum0
Maximum9
Zeros419
Zeros (%)52.4%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-21T18:53:30.080534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3589913
Coefficient of variation (CV)1.4343911
Kurtosis4.2135123
Mean0.94743429
Median Absolute Deviation (MAD)0
Skewness1.9003002
Sum757
Variance1.8468574
MonotonicityNot monotonic
2024-04-21T18:53:30.405438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 419
52.4%
1 186
23.3%
2 101
 
12.6%
3 45
 
5.6%
4 23
 
2.9%
5 13
 
1.6%
6 9
 
1.1%
7 2
 
0.3%
9 1
 
0.1%
ValueCountFrequency (%)
0 419
52.4%
1 186
23.3%
2 101
 
12.6%
3 45
 
5.6%
4 23
 
2.9%
5 13
 
1.6%
6 9
 
1.1%
7 2
 
0.3%
9 1
 
0.1%
ValueCountFrequency (%)
9 1
 
0.1%
7 2
 
0.3%
6 9
 
1.1%
5 13
 
1.6%
4 23
 
2.9%
3 45
 
5.6%
2 101
 
12.6%
1 186
23.3%
0 419
52.4%

언어(여)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
0
607 
1
151 
2
 
32
3
 
7
4
 
2

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 (%)
0 607
76.0%
1 151
 
18.9%
2 32
 
4.0%
3 7
 
0.9%
4 2
 
0.3%

Length

2024-04-21T18:53:30.756338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:53:31.073705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 607
76.0%
1 151
 
18.9%
2 32
 
4.0%
3 7
 
0.9%
4 2
 
0.3%

언어(합계)
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.252816
Minimum0
Maximum9
Zeros359
Zeros (%)44.9%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-21T18:53:31.393255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.6584753
Coefficient of variation (CV)1.323798
Kurtosis3.2474973
Mean1.252816
Median Absolute Deviation (MAD)1
Skewness1.7532704
Sum1001
Variance2.7505403
MonotonicityNot monotonic
2024-04-21T18:53:31.735119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 359
44.9%
1 195
24.4%
2 102
 
12.8%
3 63
 
7.9%
4 37
 
4.6%
5 15
 
1.9%
6 13
 
1.6%
7 10
 
1.3%
8 3
 
0.4%
9 2
 
0.3%
ValueCountFrequency (%)
0 359
44.9%
1 195
24.4%
2 102
 
12.8%
3 63
 
7.9%
4 37
 
4.6%
5 15
 
1.9%
6 13
 
1.6%
7 10
 
1.3%
8 3
 
0.4%
9 2
 
0.3%
ValueCountFrequency (%)
9 2
 
0.3%
8 3
 
0.4%
7 10
 
1.3%
6 13
 
1.6%
5 15
 
1.9%
4 37
 
4.6%
3 63
 
7.9%
2 102
 
12.8%
1 195
24.4%
0 359
44.9%

지적(남)
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.7722153
Minimum0
Maximum50
Zeros227
Zeros (%)28.4%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-21T18:53:32.106297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q310
95-th percentile24.1
Maximum50
Range50
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.6301435
Coefficient of variation (CV)1.2743457
Kurtosis4.1295504
Mean6.7722153
Median Absolute Deviation (MAD)3
Skewness1.8783704
Sum5411
Variance74.479377
MonotonicityNot monotonic
2024-04-21T18:53:32.534869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 227
28.4%
1 78
 
9.8%
2 59
 
7.4%
3 44
 
5.5%
5 39
 
4.9%
9 32
 
4.0%
8 30
 
3.8%
10 28
 
3.5%
4 27
 
3.4%
6 26
 
3.3%
Other values (34) 209
26.2%
ValueCountFrequency (%)
0 227
28.4%
1 78
 
9.8%
2 59
 
7.4%
3 44
 
5.5%
4 27
 
3.4%
5 39
 
4.9%
6 26
 
3.3%
7 21
 
2.6%
8 30
 
3.8%
9 32
 
4.0%
ValueCountFrequency (%)
50 1
 
0.1%
48 1
 
0.1%
47 1
 
0.1%
45 1
 
0.1%
44 1
 
0.1%
41 2
0.3%
40 1
 
0.1%
39 3
0.4%
38 1
 
0.1%
37 2
0.3%

지적(여)
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4668335
Minimum0
Maximum29
Zeros246
Zeros (%)30.8%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-21T18:53:33.144163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile16
Maximum29
Range29
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.3046146
Coefficient of variation (CV)1.1875559
Kurtosis1.7870601
Mean4.4668335
Median Absolute Deviation (MAD)2
Skewness1.4218393
Sum3569
Variance28.138936
MonotonicityNot monotonic
2024-04-21T18:53:33.534308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 246
30.8%
1 98
 
12.3%
3 62
 
7.8%
2 59
 
7.4%
4 38
 
4.8%
6 36
 
4.5%
5 34
 
4.3%
7 33
 
4.1%
9 33
 
4.1%
10 26
 
3.3%
Other values (18) 134
16.8%
ValueCountFrequency (%)
0 246
30.8%
1 98
 
12.3%
2 59
 
7.4%
3 62
 
7.8%
4 38
 
4.8%
5 34
 
4.3%
6 36
 
4.5%
7 33
 
4.1%
8 23
 
2.9%
9 33
 
4.1%
ValueCountFrequency (%)
29 1
 
0.1%
26 1
 
0.1%
25 1
 
0.1%
24 2
 
0.3%
23 3
 
0.4%
22 1
 
0.1%
21 2
 
0.3%
20 2
 
0.3%
19 2
 
0.3%
18 8
1.0%

지적(합계)
Real number (ℝ)

ZEROS 

Distinct59
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.239049
Minimum0
Maximum72
Zeros189
Zeros (%)23.7%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-21T18:53:33.933419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q317.5
95-th percentile39
Maximum72
Range72
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation13.34539
Coefficient of variation (CV)1.1874127
Kurtosis2.1560082
Mean11.239049
Median Absolute Deviation (MAD)6
Skewness1.5189769
Sum8980
Variance178.09943
MonotonicityNot monotonic
2024-04-21T18:53:34.369845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 189
23.7%
1 55
 
6.9%
2 49
 
6.1%
3 39
 
4.9%
4 33
 
4.1%
7 28
 
3.5%
6 23
 
2.9%
5 21
 
2.6%
13 21
 
2.6%
16 19
 
2.4%
Other values (49) 322
40.3%
ValueCountFrequency (%)
0 189
23.7%
1 55
 
6.9%
2 49
 
6.1%
3 39
 
4.9%
4 33
 
4.1%
5 21
 
2.6%
6 23
 
2.9%
7 28
 
3.5%
8 15
 
1.9%
9 18
 
2.3%
ValueCountFrequency (%)
72 1
 
0.1%
65 1
 
0.1%
64 1
 
0.1%
62 1
 
0.1%
61 2
0.3%
60 1
 
0.1%
57 1
 
0.1%
56 1
 
0.1%
54 2
0.3%
52 4
0.5%

뇌병변(남)
Real number (ℝ)

ZEROS 

Distinct55
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.5682103
Minimum0
Maximum57
Zeros129
Zeros (%)16.1%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-21T18:53:34.771538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q314
95-th percentile36
Maximum57
Range57
Interquartile range (IQR)13

Descriptive statistics

Standard deviation11.731116
Coefficient of variation (CV)1.2260513
Kurtosis2.3805055
Mean9.5682103
Median Absolute Deviation (MAD)4
Skewness1.6861841
Sum7645
Variance137.61909
MonotonicityNot monotonic
2024-04-21T18:53:35.176695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 129
16.1%
1 83
 
10.4%
2 75
 
9.4%
3 54
 
6.8%
4 48
 
6.0%
5 38
 
4.8%
7 31
 
3.9%
6 30
 
3.8%
8 26
 
3.3%
9 25
 
3.1%
Other values (45) 260
32.5%
ValueCountFrequency (%)
0 129
16.1%
1 83
10.4%
2 75
9.4%
3 54
6.8%
4 48
 
6.0%
5 38
 
4.8%
6 30
 
3.8%
7 31
 
3.9%
8 26
 
3.3%
9 25
 
3.1%
ValueCountFrequency (%)
57 2
0.3%
55 1
 
0.1%
54 1
 
0.1%
53 1
 
0.1%
51 1
 
0.1%
50 3
0.4%
49 1
 
0.1%
47 1
 
0.1%
46 1
 
0.1%
45 2
0.3%

뇌병변(여)
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.7734668
Minimum0
Maximum47
Zeros145
Zeros (%)18.1%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-21T18:53:35.581369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q39
95-th percentile27
Maximum47
Range47
Interquartile range (IQR)8

Descriptive statistics

Standard deviation8.9063632
Coefficient of variation (CV)1.3148899
Kurtosis4.3200079
Mean6.7734668
Median Absolute Deviation (MAD)3
Skewness2.0564544
Sum5412
Variance79.323305
MonotonicityNot monotonic
2024-04-21T18:53:35.991452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0 145
18.1%
1 118
14.8%
2 90
11.3%
3 73
 
9.1%
4 45
 
5.6%
8 34
 
4.3%
5 32
 
4.0%
6 30
 
3.8%
7 25
 
3.1%
9 22
 
2.8%
Other values (35) 185
23.2%
ValueCountFrequency (%)
0 145
18.1%
1 118
14.8%
2 90
11.3%
3 73
9.1%
4 45
 
5.6%
5 32
 
4.0%
6 30
 
3.8%
7 25
 
3.1%
8 34
 
4.3%
9 22
 
2.8%
ValueCountFrequency (%)
47 1
 
0.1%
46 1
 
0.1%
45 2
0.3%
43 4
0.5%
41 1
 
0.1%
40 1
 
0.1%
39 2
0.3%
38 1
 
0.1%
37 3
0.4%
36 1
 
0.1%

뇌병변(합계)
Real number (ℝ)

ZEROS 

Distinct83
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.341677
Minimum0
Maximum99
Zeros66
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-21T18:53:36.405852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median8
Q323
95-th percentile62
Maximum99
Range99
Interquartile range (IQR)20

Descriptive statistics

Standard deviation19.49583
Coefficient of variation (CV)1.1930128
Kurtosis2.2018921
Mean16.341677
Median Absolute Deviation (MAD)7
Skewness1.6596209
Sum13057
Variance380.08737
MonotonicityNot monotonic
2024-04-21T18:53:36.847847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66
 
8.3%
2 65
 
8.1%
1 64
 
8.0%
3 50
 
6.3%
4 39
 
4.9%
6 33
 
4.1%
8 33
 
4.1%
7 32
 
4.0%
5 29
 
3.6%
11 22
 
2.8%
Other values (73) 366
45.8%
ValueCountFrequency (%)
0 66
8.3%
1 64
8.0%
2 65
8.1%
3 50
6.3%
4 39
4.9%
5 29
3.6%
6 33
4.1%
7 32
4.0%
8 33
4.1%
9 19
 
2.4%
ValueCountFrequency (%)
99 1
 
0.1%
88 1
 
0.1%
86 1
 
0.1%
85 1
 
0.1%
84 1
 
0.1%
83 1
 
0.1%
82 3
0.4%
81 1
 
0.1%
79 1
 
0.1%
78 1
 
0.1%

자폐(남)
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0312891
Minimum0
Maximum18
Zeros609
Zeros (%)76.2%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-21T18:53:37.218524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum18
Range18
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.6172308
Coefficient of variation (CV)2.5378245
Kurtosis11.642471
Mean1.0312891
Median Absolute Deviation (MAD)0
Skewness3.3049812
Sum824
Variance6.849897
MonotonicityNot monotonic
2024-04-21T18:53:37.597674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 609
76.2%
1 49
 
6.1%
2 39
 
4.9%
3 23
 
2.9%
4 13
 
1.6%
6 12
 
1.5%
8 11
 
1.4%
5 9
 
1.1%
7 8
 
1.0%
12 7
 
0.9%
Other values (8) 19
 
2.4%
ValueCountFrequency (%)
0 609
76.2%
1 49
 
6.1%
2 39
 
4.9%
3 23
 
2.9%
4 13
 
1.6%
5 9
 
1.1%
6 12
 
1.5%
7 8
 
1.0%
8 11
 
1.4%
9 3
 
0.4%
ValueCountFrequency (%)
18 1
 
0.1%
16 1
 
0.1%
15 2
 
0.3%
14 3
 
0.4%
13 1
 
0.1%
12 7
0.9%
11 5
0.6%
10 3
 
0.4%
9 3
 
0.4%
8 11
1.4%

자폐(여)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.18397997
Minimum0
Maximum5
Zeros702
Zeros (%)87.9%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-21T18:53:37.957224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.57946798
Coefficient of variation (CV)3.1496253
Kurtosis21.256218
Mean0.18397997
Median Absolute Deviation (MAD)0
Skewness4.1459081
Sum147
Variance0.33578314
MonotonicityNot monotonic
2024-04-21T18:53:38.313110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 702
87.9%
1 63
 
7.9%
2 24
 
3.0%
3 6
 
0.8%
5 2
 
0.3%
4 2
 
0.3%
ValueCountFrequency (%)
0 702
87.9%
1 63
 
7.9%
2 24
 
3.0%
3 6
 
0.8%
4 2
 
0.3%
5 2
 
0.3%
ValueCountFrequency (%)
5 2
 
0.3%
4 2
 
0.3%
3 6
 
0.8%
2 24
 
3.0%
1 63
 
7.9%
0 702
87.9%

자폐(합계)
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2152691
Minimum0
Maximum19
Zeros594
Zeros (%)74.3%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-21T18:53:38.656785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum19
Range19
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.0152024
Coefficient of variation (CV)2.4810986
Kurtosis11.366957
Mean1.2152691
Median Absolute Deviation (MAD)0
Skewness3.2706332
Sum971
Variance9.0914458
MonotonicityNot monotonic
2024-04-21T18:53:39.040409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 594
74.3%
1 54
 
6.8%
2 34
 
4.3%
3 23
 
2.9%
4 18
 
2.3%
5 13
 
1.6%
6 13
 
1.6%
8 10
 
1.3%
13 8
 
1.0%
7 5
 
0.6%
Other values (10) 27
 
3.4%
ValueCountFrequency (%)
0 594
74.3%
1 54
 
6.8%
2 34
 
4.3%
3 23
 
2.9%
4 18
 
2.3%
5 13
 
1.6%
6 13
 
1.6%
7 5
 
0.6%
8 10
 
1.3%
9 4
 
0.5%
ValueCountFrequency (%)
19 1
 
0.1%
18 3
 
0.4%
17 2
 
0.3%
16 1
 
0.1%
15 1
 
0.1%
14 3
 
0.4%
13 8
1.0%
12 3
 
0.4%
11 4
0.5%
10 5
0.6%

정신(남)
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8673342
Minimum0
Maximum42
Zeros393
Zeros (%)49.2%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-21T18:53:39.435198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile17
Maximum42
Range42
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.2929663
Coefficient of variation (CV)1.6272104
Kurtosis5.5561477
Mean3.8673342
Median Absolute Deviation (MAD)1
Skewness2.1985011
Sum3090
Variance39.601425
MonotonicityNot monotonic
2024-04-21T18:53:39.817469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 393
49.2%
1 70
 
8.8%
2 45
 
5.6%
3 43
 
5.4%
4 28
 
3.5%
5 24
 
3.0%
7 21
 
2.6%
6 18
 
2.3%
11 18
 
2.3%
10 18
 
2.3%
Other values (23) 121
 
15.1%
ValueCountFrequency (%)
0 393
49.2%
1 70
 
8.8%
2 45
 
5.6%
3 43
 
5.4%
4 28
 
3.5%
5 24
 
3.0%
6 18
 
2.3%
7 21
 
2.6%
8 12
 
1.5%
9 14
 
1.8%
ValueCountFrequency (%)
42 1
 
0.1%
38 1
 
0.1%
37 1
 
0.1%
32 1
 
0.1%
29 1
 
0.1%
28 1
 
0.1%
26 1
 
0.1%
25 4
0.5%
24 4
0.5%
23 4
0.5%

정신(여)
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5481852
Minimum0
Maximum33
Zeros377
Zeros (%)47.2%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-21T18:53:40.172772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile16
Maximum33
Range33
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.5352476
Coefficient of variation (CV)1.5600222
Kurtosis3.2431232
Mean3.5481852
Median Absolute Deviation (MAD)1
Skewness1.8852145
Sum2835
Variance30.638966
MonotonicityNot monotonic
2024-04-21T18:53:40.559394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 377
47.2%
1 87
 
10.9%
2 56
 
7.0%
3 44
 
5.5%
7 26
 
3.3%
8 22
 
2.8%
6 22
 
2.8%
4 21
 
2.6%
5 21
 
2.6%
12 17
 
2.1%
Other values (19) 106
 
13.3%
ValueCountFrequency (%)
0 377
47.2%
1 87
 
10.9%
2 56
 
7.0%
3 44
 
5.5%
4 21
 
2.6%
5 21
 
2.6%
6 22
 
2.8%
7 26
 
3.3%
8 22
 
2.8%
9 12
 
1.5%
ValueCountFrequency (%)
33 1
 
0.1%
27 1
 
0.1%
26 1
 
0.1%
25 2
0.3%
24 1
 
0.1%
23 2
0.3%
22 3
0.4%
21 2
0.3%
20 4
0.5%
19 4
0.5%

정신(합계)
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4155194
Minimum0
Maximum63
Zeros330
Zeros (%)41.3%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-21T18:53:40.953928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q311
95-th percentile33
Maximum63
Range63
Interquartile range (IQR)11

Descriptive statistics

Standard deviation11.482909
Coefficient of variation (CV)1.5484969
Kurtosis3.4776985
Mean7.4155194
Median Absolute Deviation (MAD)2
Skewness1.9216728
Sum5925
Variance131.8572
MonotonicityNot monotonic
2024-04-21T18:53:41.382039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 330
41.3%
1 68
 
8.5%
2 48
 
6.0%
3 31
 
3.9%
5 23
 
2.9%
4 22
 
2.8%
6 21
 
2.6%
7 20
 
2.5%
11 15
 
1.9%
9 15
 
1.9%
Other values (43) 206
25.8%
ValueCountFrequency (%)
0 330
41.3%
1 68
 
8.5%
2 48
 
6.0%
3 31
 
3.9%
4 22
 
2.8%
5 23
 
2.9%
6 21
 
2.6%
7 20
 
2.5%
8 6
 
0.8%
9 15
 
1.9%
ValueCountFrequency (%)
63 1
0.1%
62 1
0.1%
59 1
0.1%
57 1
0.1%
55 1
0.1%
51 1
0.1%
46 2
0.3%
45 2
0.3%
44 2
0.3%
43 1
0.1%

신장(남)
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7146433
Minimum0
Maximum30
Zeros352
Zeros (%)44.1%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-21T18:53:41.750893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile11
Maximum30
Range30
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.8663348
Coefficient of variation (CV)1.4242515
Kurtosis4.7245779
Mean2.7146433
Median Absolute Deviation (MAD)1
Skewness1.9079014
Sum2169
Variance14.948545
MonotonicityNot monotonic
2024-04-21T18:53:42.116479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 352
44.1%
1 108
 
13.5%
2 57
 
7.1%
3 51
 
6.4%
4 44
 
5.5%
5 33
 
4.1%
6 29
 
3.6%
7 27
 
3.4%
9 18
 
2.3%
8 17
 
2.1%
Other values (10) 63
 
7.9%
ValueCountFrequency (%)
0 352
44.1%
1 108
 
13.5%
2 57
 
7.1%
3 51
 
6.4%
4 44
 
5.5%
5 33
 
4.1%
6 29
 
3.6%
7 27
 
3.4%
8 17
 
2.1%
9 18
 
2.3%
ValueCountFrequency (%)
30 1
 
0.1%
20 2
 
0.3%
17 1
 
0.1%
16 1
 
0.1%
15 3
 
0.4%
14 10
1.3%
13 8
1.0%
12 9
1.1%
11 12
1.5%
10 16
2.0%

신장(여)
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9874844
Minimum0
Maximum18
Zeros376
Zeros (%)47.1%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-21T18:53:42.465699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile8
Maximum18
Range18
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.9083483
Coefficient of variation (CV)1.4633314
Kurtosis4.3224222
Mean1.9874844
Median Absolute Deviation (MAD)1
Skewness1.960869
Sum1588
Variance8.4584898
MonotonicityNot monotonic
2024-04-21T18:53:42.850428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 376
47.1%
1 126
 
15.8%
2 62
 
7.8%
3 57
 
7.1%
4 49
 
6.1%
5 32
 
4.0%
6 29
 
3.6%
7 17
 
2.1%
8 14
 
1.8%
9 12
 
1.5%
Other values (8) 25
 
3.1%
ValueCountFrequency (%)
0 376
47.1%
1 126
 
15.8%
2 62
 
7.8%
3 57
 
7.1%
4 49
 
6.1%
5 32
 
4.0%
6 29
 
3.6%
7 17
 
2.1%
8 14
 
1.8%
9 12
 
1.5%
ValueCountFrequency (%)
18 1
 
0.1%
16 2
 
0.3%
15 1
 
0.1%
14 3
 
0.4%
13 1
 
0.1%
12 2
 
0.3%
11 4
 
0.5%
10 11
1.4%
9 12
1.5%
8 14
1.8%

신장(합계)
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7021277
Minimum0
Maximum40
Zeros301
Zeros (%)37.7%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-21T18:53:43.242645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile18.1
Maximum40
Range40
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.3791156
Coefficient of variation (CV)1.3566445
Kurtosis2.9745999
Mean4.7021277
Median Absolute Deviation (MAD)2
Skewness1.7200291
Sum3757
Variance40.693116
MonotonicityNot monotonic
2024-04-21T18:53:43.653822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 301
37.7%
1 82
 
10.3%
2 56
 
7.0%
3 43
 
5.4%
5 34
 
4.3%
4 33
 
4.1%
8 30
 
3.8%
6 28
 
3.5%
10 23
 
2.9%
7 23
 
2.9%
Other values (21) 146
18.3%
ValueCountFrequency (%)
0 301
37.7%
1 82
 
10.3%
2 56
 
7.0%
3 43
 
5.4%
4 33
 
4.1%
5 34
 
4.3%
6 28
 
3.5%
7 23
 
2.9%
8 30
 
3.8%
9 17
 
2.1%
ValueCountFrequency (%)
40 1
 
0.1%
32 1
 
0.1%
30 2
 
0.3%
29 2
 
0.3%
26 2
 
0.3%
25 2
 
0.3%
24 2
 
0.3%
23 6
0.8%
22 5
0.6%
21 6
0.8%

심장(남)
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
0
677 
1
98 
2
 
22
3
 
2

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 (%)
0 677
84.7%
1 98
 
12.3%
2 22
 
2.8%
3 2
 
0.3%

Length

2024-04-21T18:53:44.053816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:53:44.366774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 677
84.7%
1 98
 
12.3%
2 22
 
2.8%
3 2
 
0.3%

심장(여)
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
0
710 
1
75 
2
 
14

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 (%)
0 710
88.9%
1 75
 
9.4%
2 14
 
1.8%

Length

2024-04-21T18:53:44.931922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:53:45.240219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 710
88.9%
1 75
 
9.4%
2 14
 
1.8%

심장(합계)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
0
613 
1
134 
2
 
40
3
 
11
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 (%)
0 613
76.7%
1 134
 
16.8%
2 40
 
5.0%
3 11
 
1.4%
4 1
 
0.1%

Length

2024-04-21T18:53:45.576898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:53:45.894756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 613
76.7%
1 134
 
16.8%
2 40
 
5.0%
3 11
 
1.4%
4 1
 
0.1%

호흡기(남)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.43804756
Minimum0
Maximum6
Zeros598
Zeros (%)74.8%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-21T18:53:46.203759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.90576222
Coefficient of variation (CV)2.0677258
Kurtosis6.3114667
Mean0.43804756
Median Absolute Deviation (MAD)0
Skewness2.4420711
Sum350
Variance0.82040521
MonotonicityNot monotonic
2024-04-21T18:53:46.542458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 598
74.8%
1 110
 
13.8%
2 50
 
6.3%
3 28
 
3.5%
4 10
 
1.3%
5 2
 
0.3%
6 1
 
0.1%
ValueCountFrequency (%)
0 598
74.8%
1 110
 
13.8%
2 50
 
6.3%
3 28
 
3.5%
4 10
 
1.3%
5 2
 
0.3%
6 1
 
0.1%
ValueCountFrequency (%)
6 1
 
0.1%
5 2
 
0.3%
4 10
 
1.3%
3 28
 
3.5%
2 50
 
6.3%
1 110
 
13.8%
0 598
74.8%

호흡기(여)
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
0
723 
1
 
56
2
 
17
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 (%)
0 723
90.5%
1 56
 
7.0%
2 17
 
2.1%
3 3
 
0.4%

Length

2024-04-21T18:53:46.923723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:53:47.237580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 723
90.5%
1 56
 
7.0%
2 17
 
2.1%
3 3
 
0.4%

호흡기(합계)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.56195244
Minimum0
Maximum7
Zeros572
Zeros (%)71.6%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-21T18:53:47.537384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1006283
Coefficient of variation (CV)1.9585791
Kurtosis5.820022
Mean0.56195244
Median Absolute Deviation (MAD)0
Skewness2.3438515
Sum449
Variance1.2113826
MonotonicityNot monotonic
2024-04-21T18:53:47.891269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 572
71.6%
1 108
 
13.5%
2 56
 
7.0%
3 37
 
4.6%
4 17
 
2.1%
5 5
 
0.6%
6 3
 
0.4%
7 1
 
0.1%
ValueCountFrequency (%)
0 572
71.6%
1 108
 
13.5%
2 56
 
7.0%
3 37
 
4.6%
4 17
 
2.1%
5 5
 
0.6%
6 3
 
0.4%
7 1
 
0.1%
ValueCountFrequency (%)
7 1
 
0.1%
6 3
 
0.4%
5 5
 
0.6%
4 17
 
2.1%
3 37
 
4.6%
2 56
 
7.0%
1 108
 
13.5%
0 572
71.6%

간(남)
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.41927409
Minimum0
Maximum10
Zeros637
Zeros (%)79.7%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-21T18:53:48.256405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0925489
Coefficient of variation (CV)2.6058107
Kurtosis20.127446
Mean0.41927409
Median Absolute Deviation (MAD)0
Skewness3.9032844
Sum335
Variance1.1936631
MonotonicityNot monotonic
2024-04-21T18:53:48.617510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 637
79.7%
1 84
 
10.5%
2 32
 
4.0%
3 23
 
2.9%
4 13
 
1.6%
5 4
 
0.5%
6 2
 
0.3%
9 1
 
0.1%
7 1
 
0.1%
10 1
 
0.1%
ValueCountFrequency (%)
0 637
79.7%
1 84
 
10.5%
2 32
 
4.0%
3 23
 
2.9%
4 13
 
1.6%
5 4
 
0.5%
6 2
 
0.3%
7 1
 
0.1%
8 1
 
0.1%
9 1
 
0.1%
ValueCountFrequency (%)
10 1
 
0.1%
9 1
 
0.1%
8 1
 
0.1%
7 1
 
0.1%
6 2
 
0.3%
5 4
 
0.5%
4 13
 
1.6%
3 23
 
2.9%
2 32
 
4.0%
1 84
10.5%

간(여)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
0
691 
1
84 
2
 
21
4
 
2
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 (%)
0 691
86.5%
1 84
 
10.5%
2 21
 
2.6%
4 2
 
0.3%
3 1
 
0.1%

Length

2024-04-21T18:53:48.916824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:53:49.095840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 691
86.5%
1 84
 
10.5%
2 21
 
2.6%
4 2
 
0.3%
3 1
 
0.1%

간(합계)
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.59073842
Minimum0
Maximum12
Zeros588
Zeros (%)73.6%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-21T18:53:49.275048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum12
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3279205
Coefficient of variation (CV)2.2478993
Kurtosis15.809504
Mean0.59073842
Median Absolute Deviation (MAD)0
Skewness3.4172203
Sum472
Variance1.7633728
MonotonicityNot monotonic
2024-04-21T18:53:49.475136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 588
73.6%
1 97
 
12.1%
2 49
 
6.1%
3 32
 
4.0%
4 12
 
1.5%
5 9
 
1.1%
6 6
 
0.8%
7 3
 
0.4%
10 1
 
0.1%
12 1
 
0.1%
ValueCountFrequency (%)
0 588
73.6%
1 97
 
12.1%
2 49
 
6.1%
3 32
 
4.0%
4 12
 
1.5%
5 9
 
1.1%
6 6
 
0.8%
7 3
 
0.4%
9 1
 
0.1%
10 1
 
0.1%
ValueCountFrequency (%)
12 1
 
0.1%
10 1
 
0.1%
9 1
 
0.1%
7 3
 
0.4%
6 6
 
0.8%
5 9
 
1.1%
4 12
 
1.5%
3 32
 
4.0%
2 49
6.1%
1 97
12.1%

안면(남)
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
0
725 
1
 
69
2
 
4
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 (%)
0 725
90.7%
1 69
 
8.6%
2 4
 
0.5%
3 1
 
0.1%

Length

2024-04-21T18:53:49.686839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:53:49.861258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 725
90.7%
1 69
 
8.6%
2 4
 
0.5%
3 1
 
0.1%

안면(여)
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
0
747 
1
 
48
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 (%)
0 747
93.5%
1 48
 
6.0%
2 4
 
0.5%

Length

2024-04-21T18:53:50.047793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:53:50.216643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 747
93.5%
1 48
 
6.0%
2 4
 
0.5%

안면(합계)
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
0
685 
1
96 
2
 
14
3
 
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 (%)
0 685
85.7%
1 96
 
12.0%
2 14
 
1.8%
3 4
 
0.5%

Length

2024-04-21T18:53:50.393533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:53:50.568141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 685
85.7%
1 96
 
12.0%
2 14
 
1.8%
3 4
 
0.5%

장루.요루(남)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.42553191
Minimum0
Maximum6
Zeros585
Zeros (%)73.2%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-21T18:53:50.731931image/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 deviation0.85935742
Coefficient of variation (CV)2.0194899
Kurtosis8.8823638
Mean0.42553191
Median Absolute Deviation (MAD)0
Skewness2.6725982
Sum340
Variance0.73849517
MonotonicityNot monotonic
2024-04-21T18:53:50.910500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 585
73.2%
1 133
 
16.6%
2 54
 
6.8%
3 15
 
1.9%
4 8
 
1.0%
6 2
 
0.3%
5 2
 
0.3%
ValueCountFrequency (%)
0 585
73.2%
1 133
 
16.6%
2 54
 
6.8%
3 15
 
1.9%
4 8
 
1.0%
5 2
 
0.3%
6 2
 
0.3%
ValueCountFrequency (%)
6 2
 
0.3%
5 2
 
0.3%
4 8
 
1.0%
3 15
 
1.9%
2 54
 
6.8%
1 133
 
16.6%
0 585
73.2%

장루.요루(여)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.30788486
Minimum0
Maximum5
Zeros626
Zeros (%)78.3%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-21T18:53:51.098652image/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 deviation0.67003565
Coefficient of variation (CV)2.176254
Kurtosis7.8274265
Mean0.30788486
Median Absolute Deviation (MAD)0
Skewness2.5800025
Sum246
Variance0.44894778
MonotonicityNot monotonic
2024-04-21T18:53:51.283625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 626
78.3%
1 116
 
14.5%
2 45
 
5.6%
3 9
 
1.1%
4 2
 
0.3%
5 1
 
0.1%
ValueCountFrequency (%)
0 626
78.3%
1 116
 
14.5%
2 45
 
5.6%
3 9
 
1.1%
4 2
 
0.3%
5 1
 
0.1%
ValueCountFrequency (%)
5 1
 
0.1%
4 2
 
0.3%
3 9
 
1.1%
2 45
 
5.6%
1 116
 
14.5%
0 626
78.3%

장루.요루(합계)
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.73341677
Minimum0
Maximum9
Zeros506
Zeros (%)63.3%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-21T18:53:51.470586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2872119
Coefficient of variation (CV)1.7550893
Kurtosis7.7118048
Mean0.73341677
Median Absolute Deviation (MAD)0
Skewness2.4819139
Sum586
Variance1.6569145
MonotonicityNot monotonic
2024-04-21T18:53:51.646563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 506
63.3%
1 145
 
18.1%
2 76
 
9.5%
3 38
 
4.8%
4 15
 
1.9%
6 8
 
1.0%
5 7
 
0.9%
8 2
 
0.3%
7 1
 
0.1%
9 1
 
0.1%
ValueCountFrequency (%)
0 506
63.3%
1 145
 
18.1%
2 76
 
9.5%
3 38
 
4.8%
4 15
 
1.9%
5 7
 
0.9%
6 8
 
1.0%
7 1
 
0.1%
8 2
 
0.3%
9 1
 
0.1%
ValueCountFrequency (%)
9 1
 
0.1%
8 2
 
0.3%
7 1
 
0.1%
6 8
 
1.0%
5 7
 
0.9%
4 15
 
1.9%
3 38
 
4.8%
2 76
 
9.5%
1 145
 
18.1%
0 506
63.3%

뇌전증(남)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
0
674 
1
96 
2
 
22
3
 
5
4
 
2

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 (%)
0 674
84.4%
1 96
 
12.0%
2 22
 
2.8%
3 5
 
0.6%
4 2
 
0.3%

Length

2024-04-21T18:53:51.842829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:53:52.027408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 674
84.4%
1 96
 
12.0%
2 22
 
2.8%
3 5
 
0.6%
4 2
 
0.3%

뇌전증(여)
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
0
697 
1
87 
2
 
13
3
 
2

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 (%)
0 697
87.2%
1 87
 
10.9%
2 13
 
1.6%
3 2
 
0.3%

Length

2024-04-21T18:53:52.216190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:53:52.395833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 697
87.2%
1 87
 
10.9%
2 13
 
1.6%
3 2
 
0.3%

뇌전증(합계)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.35294118
Minimum0
Maximum6
Zeros614
Zeros (%)76.8%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-21T18:53:52.555678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.75299784
Coefficient of variation (CV)2.1334939
Kurtosis8.3512003
Mean0.35294118
Median Absolute Deviation (MAD)0
Skewness2.6181208
Sum282
Variance0.56700575
MonotonicityNot monotonic
2024-04-21T18:53:52.736878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 614
76.8%
1 116
 
14.5%
2 48
 
6.0%
3 16
 
2.0%
4 4
 
0.5%
6 1
 
0.1%
ValueCountFrequency (%)
0 614
76.8%
1 116
 
14.5%
2 48
 
6.0%
3 16
 
2.0%
4 4
 
0.5%
6 1
 
0.1%
ValueCountFrequency (%)
6 1
 
0.1%
4 4
 
0.5%
3 16
 
2.0%
2 48
 
6.0%
1 116
 
14.5%
0 614
76.8%

Sample

구분나이합계지체(남)지체(여)지체(합계)시각(남)시각(여)시각(합계)청각(남)청각(여)청각(합계)언어(남)언어(여)언어(합계)지적(남)지적(여)지적(합계)뇌병변(남)뇌병변(여)뇌병변(합계)자폐(남)자폐(여)자폐(합계)정신(남)정신(여)정신(합계)신장(남)신장(여)신장(합계)심장(남)심장(여)심장(합계)호흡기(남)호흡기(여)호흡기(합계)간(남)간(여)간(합계)안면(남)안면(여)안면(합계)장루.요루(남)장루.요루(여)장루.요루(합계)뇌전증(남)뇌전증(여)뇌전증(합계)
0중구11000000011000000000000000000000000000000000000
1중구32000000000000011101000000000000000000000000000
2중구48000000123101000224000000000000000000000000000
3중구56000000112000101101202000000000000000000000000
4중구64000101011000011000101000000000000000000000000
5중구76101000101000112022000000000000000000000000000
6중구88000101101000213011202000000000000000000000000
7중구95000000011000022101101000000000000000000000000
8중구106000101101000112000202000000000000000000000000
9중구119101101000000123000404000000000000000000000000
구분나이합계지체(남)지체(여)지체(합계)시각(남)시각(여)시각(합계)청각(남)청각(여)청각(합계)언어(남)언어(여)언어(합계)지적(남)지적(여)지적(합계)뇌병변(남)뇌병변(여)뇌병변(합계)자폐(남)자폐(여)자폐(합계)정신(남)정신(여)정신(합계)신장(남)신장(여)신장(합계)심장(남)심장(여)심장(합계)호흡기(남)호흡기(여)호흡기(합계)간(남)간(여)간(합계)안면(남)안면(여)안면(합계)장루.요루(남)장루.요루(여)장루.요루(합계)뇌전증(남)뇌전증(여)뇌전증(합계)
789달성군9017145112459000000011000000000000000000000000000
790달성군9112156000145000000101000000000000000000000000000
791달성군9213055011145000000022000000000000000000000000000
792달성군9310112000336000000112000000000000000000000000000
793달성군946000011224000000101000000000000000000000000000
794달성군953011101011000000000000000000000000000000000000
795달성군961000000011000000000000000000000000000000000000
796달성군972000000112000000000000000000000000000000000000
797달성군983011000112000000000000000000000000000000000000
798달성군992011000101000000000000000000000000000000000000