Overview

Dataset statistics

Number of variables48
Number of observations795
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory334.7 KiB
Average record size in memory431.2 B

Variable types

Categorical12
Numeric36

Dataset

Description대구광역시_중구 연령별유형별 장애인등록현황_20170531
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15069107&dataSetDetailId=150691071eec3e111bd24&provdMethod=FILE

Alerts

언어(여) is highly imbalanced (56.6%)Imbalance
심장(남) is highly imbalanced (62.9%)Imbalance
심장(여) is highly imbalanced (70.2%)Imbalance
심장(합계) is highly imbalanced (54.5%)Imbalance
호흡기(여) is highly imbalanced (75.7%)Imbalance
간(여) is highly imbalanced (72.5%)Imbalance
안면(남) is highly imbalanced (74.7%)Imbalance
안면(여) is highly imbalanced (75.5%)Imbalance
안면(합계) is highly imbalanced (63.6%)Imbalance
장루.요루(여) is highly imbalanced (55.8%)Imbalance
간질(여) is highly imbalanced (68.0%)Imbalance
지체(남) has 138 (17.4%) zerosZeros
지체(여) has 133 (16.7%) zerosZeros
지체(합계) has 88 (11.1%) zerosZeros
시각(남) has 167 (21.0%) zerosZeros
시각(여) has 187 (23.5%) zerosZeros
시각(합계) has 112 (14.1%) zerosZeros
청각(남) has 138 (17.4%) zerosZeros
청각(여) has 142 (17.9%) zerosZeros
청각(합계) has 57 (7.2%) zerosZeros
언어(남) has 415 (52.2%) zerosZeros
언어(합계) has 360 (45.3%) zerosZeros
지적(남) has 232 (29.2%) zerosZeros
지적(여) has 247 (31.1%) zerosZeros
지적(합계) has 194 (24.4%) zerosZeros
뇌병변(남) has 125 (15.7%) zerosZeros
뇌병변(여) has 140 (17.6%) zerosZeros
뇌병변(합계) has 65 (8.2%) zerosZeros
자폐(남) has 614 (77.2%) zerosZeros
자폐(여) has 703 (88.4%) zerosZeros
자폐(합계) has 599 (75.3%) zerosZeros
정신(남) has 393 (49.4%) zerosZeros
정신(여) has 370 (46.5%) zerosZeros
정신(합계) has 329 (41.4%) zerosZeros
신장(남) has 343 (43.1%) zerosZeros
신장(여) has 374 (47.0%) zerosZeros
신장(합계) has 293 (36.9%) zerosZeros
호흡기(남) has 586 (73.7%) zerosZeros
호흡기(합계) has 562 (70.7%) zerosZeros
간(남) has 639 (80.4%) zerosZeros
간(합계) has 591 (74.3%) zerosZeros
장루.요루(남) has 579 (72.8%) zerosZeros
장루.요루(합계) has 505 (63.5%) zerosZeros
간질(남) has 668 (84.0%) zerosZeros
간질(합계) has 607 (76.4%) zerosZeros

Reproduction

Analysis started2024-04-18 00:10:12.484456
Analysis finished2024-04-18 00:10:12.860242
Duration0.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
수성구
102 
달서구
102 
동구
100 
남구
99 
북구
99 
Other values (3)
293 

Length

Max length3
Median length2
Mean length2.3798742
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수성구 102
12.8%
달서구 102
12.8%
동구 100
12.6%
남구 99
12.5%
북구 99
12.5%
서구 98
12.3%
달성군 98
12.3%
중구 97
12.2%

Length

2024-04-18T09:10:12.924202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:10:13.044902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수성구 102
12.8%
달서구 102
12.8%
동구 100
12.6%
남구 99
12.5%
북구 99
12.5%
서구 98
12.3%
달성군 98
12.3%
중구 97
12.2%

나이
Real number (ℝ)

Distinct104
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.340881
Minimum0
Maximum106
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T09:10:13.232594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q125.5
median50
Q375
95-th percentile95
Maximum106
Range106
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation28.759285
Coefficient of variation (CV)0.57129087
Kurtosis-1.1906859
Mean50.340881
Median Absolute Deviation (MAD)25
Skewness0.0059940072
Sum40021
Variance827.0965
MonotonicityNot monotonic
2024-04-18T09:10:13.397292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 8
 
1.0%
50 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%
65 8
 
1.0%
Other values (94) 715
89.9%
ValueCountFrequency (%)
0 1
 
0.1%
1 6
0.8%
2 8
1.0%
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 (%)
106 1
 
0.1%
102 2
 
0.3%
101 2
 
0.3%
100 4
0.5%
99 5
0.6%
98 8
1.0%
97 7
0.9%
96 8
1.0%
95 7
0.9%
94 8
1.0%

합계
Real number (ℝ)

Distinct335
Distinct (%)42.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean145.89057
Minimum1
Maximum742
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T09:10:13.527703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q129.5
median87
Q3224
95-th percentile466.6
Maximum742
Range741
Interquartile range (IQR)194.5

Descriptive statistics

Standard deviation152.57757
Coefficient of variation (CV)1.0458357
Kurtosis1.2082108
Mean145.89057
Median Absolute Deviation (MAD)73
Skewness1.330701
Sum115983
Variance23279.914
MonotonicityNot monotonic
2024-04-18T09:10:13.668936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 21
 
2.6%
2 16
 
2.0%
1 15
 
1.9%
6 10
 
1.3%
10 10
 
1.3%
31 9
 
1.1%
27 9
 
1.1%
26 8
 
1.0%
13 8
 
1.0%
21 7
 
0.9%
Other values (325) 682
85.8%
ValueCountFrequency (%)
1 15
1.9%
2 16
2.0%
3 21
2.6%
4 7
 
0.9%
5 7
 
0.9%
6 10
1.3%
7 6
 
0.8%
8 6
 
0.8%
9 7
 
0.9%
10 10
1.3%
ValueCountFrequency (%)
742 1
0.1%
734 1
0.1%
719 1
0.1%
685 1
0.1%
675 1
0.1%
672 1
0.1%
667 1
0.1%
658 1
0.1%
613 1
0.1%
610 1
0.1%

지체(남)
Real number (ℝ)

ZEROS 

Distinct170
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.040252
Minimum0
Maximum305
Zeros138
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T09:10:13.811682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median18
Q367.5
95-th percentile161
Maximum305
Range305
Interquartile range (IQR)66.5

Descriptive statistics

Standard deviation57.197069
Coefficient of variation (CV)1.3289204
Kurtosis3.3479775
Mean43.040252
Median Absolute Deviation (MAD)18
Skewness1.8023802
Sum34217
Variance3271.5047
MonotonicityNot monotonic
2024-04-18T09:10:13.943887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 138
 
17.4%
1 62
 
7.8%
4 30
 
3.8%
2 28
 
3.5%
6 21
 
2.6%
7 14
 
1.8%
3 14
 
1.8%
5 12
 
1.5%
10 12
 
1.5%
15 12
 
1.5%
Other values (160) 452
56.9%
ValueCountFrequency (%)
0 138
17.4%
1 62
7.8%
2 28
 
3.5%
3 14
 
1.8%
4 30
 
3.8%
5 12
 
1.5%
6 21
 
2.6%
7 14
 
1.8%
8 10
 
1.3%
9 12
 
1.5%
ValueCountFrequency (%)
305 1
0.1%
302 1
0.1%
300 1
0.1%
290 1
0.1%
287 1
0.1%
267 1
0.1%
259 1
0.1%
253 1
0.1%
244 1
0.1%
239 1
0.1%

지체(여)
Real number (ℝ)

ZEROS 

Distinct134
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.792453
Minimum0
Maximum205
Zeros133
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T09:10:14.078155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median10
Q342.5
95-th percentile115.3
Maximum205
Range205
Interquartile range (IQR)41.5

Descriptive statistics

Standard deviation38.069848
Coefficient of variation (CV)1.3222162
Kurtosis1.5941588
Mean28.792453
Median Absolute Deviation (MAD)10
Skewness1.529142
Sum22890
Variance1449.3133
MonotonicityNot monotonic
2024-04-18T09:10:14.221529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 133
 
16.7%
1 71
 
8.9%
2 53
 
6.7%
3 30
 
3.8%
6 26
 
3.3%
5 22
 
2.8%
4 21
 
2.6%
11 15
 
1.9%
10 14
 
1.8%
9 13
 
1.6%
Other values (124) 397
49.9%
ValueCountFrequency (%)
0 133
16.7%
1 71
8.9%
2 53
 
6.7%
3 30
 
3.8%
4 21
 
2.6%
5 22
 
2.8%
6 26
 
3.3%
7 10
 
1.3%
8 12
 
1.5%
9 13
 
1.6%
ValueCountFrequency (%)
205 1
0.1%
160 2
0.3%
154 2
0.3%
151 1
0.1%
149 1
0.1%
148 1
0.1%
143 2
0.3%
142 1
0.1%
141 1
0.1%
136 1
0.1%

지체(합계)
Real number (ℝ)

ZEROS 

Distinct232
Distinct (%)29.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.832704
Minimum0
Maximum439
Zeros88
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T09:10:14.342072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median32
Q3113
95-th percentile255.2
Maximum439
Range439
Interquartile range (IQR)109

Descriptive statistics

Standard deviation88.572721
Coefficient of variation (CV)1.2330417
Kurtosis1.6111289
Mean71.832704
Median Absolute Deviation (MAD)31
Skewness1.4515355
Sum57107
Variance7845.1269
MonotonicityNot monotonic
2024-04-18T09:10:14.463279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 88
 
11.1%
1 55
 
6.9%
2 36
 
4.5%
6 18
 
2.3%
3 15
 
1.9%
4 15
 
1.9%
7 15
 
1.9%
5 13
 
1.6%
15 11
 
1.4%
9 11
 
1.4%
Other values (222) 518
65.2%
ValueCountFrequency (%)
0 88
11.1%
1 55
6.9%
2 36
4.5%
3 15
 
1.9%
4 15
 
1.9%
5 13
 
1.6%
6 18
 
2.3%
7 15
 
1.9%
8 11
 
1.4%
9 11
 
1.4%
ValueCountFrequency (%)
439 1
0.1%
429 1
0.1%
410 1
0.1%
409 1
0.1%
405 1
0.1%
379 1
0.1%
374 1
0.1%
351 2
0.3%
350 1
0.1%
349 1
0.1%

시각(남)
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.208805
Minimum0
Maximum52
Zeros167
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T09:10:14.600065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q314
95-th percentile32
Maximum52
Range52
Interquartile range (IQR)13

Descriptive statistics

Standard deviation10.460875
Coefficient of variation (CV)1.1359644
Kurtosis1.1158876
Mean9.208805
Median Absolute Deviation (MAD)5
Skewness1.3122265
Sum7321
Variance109.4299
MonotonicityNot monotonic
2024-04-18T09:10:14.736775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 167
21.0%
1 80
 
10.1%
2 50
 
6.3%
4 42
 
5.3%
3 40
 
5.0%
5 34
 
4.3%
7 32
 
4.0%
6 24
 
3.0%
8 21
 
2.6%
14 21
 
2.6%
Other values (38) 284
35.7%
ValueCountFrequency (%)
0 167
21.0%
1 80
10.1%
2 50
 
6.3%
3 40
 
5.0%
4 42
 
5.3%
5 34
 
4.3%
6 24
 
3.0%
7 32
 
4.0%
8 21
 
2.6%
9 17
 
2.1%
ValueCountFrequency (%)
52 1
 
0.1%
49 1
 
0.1%
47 1
 
0.1%
45 1
 
0.1%
44 1
 
0.1%
42 2
0.3%
41 1
 
0.1%
40 3
0.4%
39 1
 
0.1%
38 2
0.3%

시각(여)
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1861635
Minimum0
Maximum41
Zeros187
Zeros (%)23.5%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T09:10:14.889856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q39.5
95-th percentile22
Maximum41
Range41
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation7.4141984
Coefficient of variation (CV)1.1985132
Kurtosis1.9141629
Mean6.1861635
Median Absolute Deviation (MAD)3
Skewness1.5092158
Sum4918
Variance54.970337
MonotonicityNot monotonic
2024-04-18T09:10:15.025787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 187
23.5%
1 109
13.7%
2 67
 
8.4%
3 52
 
6.5%
4 49
 
6.2%
9 31
 
3.9%
6 30
 
3.8%
5 29
 
3.6%
7 26
 
3.3%
11 21
 
2.6%
Other values (24) 194
24.4%
ValueCountFrequency (%)
0 187
23.5%
1 109
13.7%
2 67
 
8.4%
3 52
 
6.5%
4 49
 
6.2%
5 29
 
3.6%
6 30
 
3.8%
7 26
 
3.3%
8 16
 
2.0%
9 31
 
3.9%
ValueCountFrequency (%)
41 1
 
0.1%
34 1
 
0.1%
33 2
 
0.3%
31 5
0.6%
30 3
0.4%
29 3
0.4%
27 3
0.4%
26 4
0.5%
25 4
0.5%
24 5
0.6%

시각(합계)
Real number (ℝ)

ZEROS 

Distinct72
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.394969
Minimum0
Maximum93
Zeros112
Zeros (%)14.1%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T09:10:15.162477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median8
Q325
95-th percentile51
Maximum93
Range93
Interquartile range (IQR)23

Descriptive statistics

Standard deviation17.114446
Coefficient of variation (CV)1.1116909
Kurtosis1.1284289
Mean15.394969
Median Absolute Deviation (MAD)8
Skewness1.2994358
Sum12239
Variance292.90426
MonotonicityNot monotonic
2024-04-18T09:10:15.289284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 112
 
14.1%
1 76
 
9.6%
2 46
 
5.8%
3 39
 
4.9%
5 31
 
3.9%
6 31
 
3.9%
4 24
 
3.0%
7 22
 
2.8%
14 21
 
2.6%
8 18
 
2.3%
Other values (62) 375
47.2%
ValueCountFrequency (%)
0 112
14.1%
1 76
9.6%
2 46
5.8%
3 39
 
4.9%
4 24
 
3.0%
5 31
 
3.9%
6 31
 
3.9%
7 22
 
2.8%
8 18
 
2.3%
9 15
 
1.9%
ValueCountFrequency (%)
93 1
0.1%
78 1
0.1%
77 1
0.1%
74 1
0.1%
73 1
0.1%
71 1
0.1%
68 1
0.1%
66 1
0.1%
65 1
0.1%
64 1
0.1%

청각(남)
Real number (ℝ)

ZEROS 

Distinct47
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6251572
Minimum0
Maximum48
Zeros138
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T09:10:15.418028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q311
95-th percentile29
Maximum48
Range48
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.5711769
Coefficient of variation (CV)1.2552104
Kurtosis2.5444331
Mean7.6251572
Median Absolute Deviation (MAD)3
Skewness1.7175584
Sum6062
Variance91.607427
MonotonicityNot monotonic
2024-04-18T09:10:15.545976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 138
17.4%
1 118
14.8%
2 79
 
9.9%
3 70
 
8.8%
4 43
 
5.4%
7 31
 
3.9%
5 28
 
3.5%
10 24
 
3.0%
8 23
 
2.9%
6 21
 
2.6%
Other values (37) 220
27.7%
ValueCountFrequency (%)
0 138
17.4%
1 118
14.8%
2 79
9.9%
3 70
8.8%
4 43
 
5.4%
5 28
 
3.5%
6 21
 
2.6%
7 31
 
3.9%
8 23
 
2.9%
9 19
 
2.4%
ValueCountFrequency (%)
48 1
 
0.1%
46 1
 
0.1%
45 1
 
0.1%
44 2
0.3%
43 1
 
0.1%
42 3
0.4%
41 1
 
0.1%
39 1
 
0.1%
38 3
0.4%
37 1
 
0.1%

청각(여)
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.7257862
Minimum0
Maximum40
Zeros142
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T09:10:15.675443image/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 deviation8.375644
Coefficient of variation (CV)1.2453033
Kurtosis2.2138606
Mean6.7257862
Median Absolute Deviation (MAD)3
Skewness1.6576149
Sum5347
Variance70.151412
MonotonicityNot monotonic
2024-04-18T09:10:15.839442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0 142
17.9%
1 136
17.1%
2 95
11.9%
3 52
 
6.5%
4 39
 
4.9%
6 31
 
3.9%
5 26
 
3.3%
7 25
 
3.1%
8 23
 
2.9%
10 22
 
2.8%
Other values (30) 204
25.7%
ValueCountFrequency (%)
0 142
17.9%
1 136
17.1%
2 95
11.9%
3 52
 
6.5%
4 39
 
4.9%
5 26
 
3.3%
6 31
 
3.9%
7 25
 
3.1%
8 23
 
2.9%
9 19
 
2.4%
ValueCountFrequency (%)
40 1
 
0.1%
39 2
 
0.3%
38 1
 
0.1%
36 2
 
0.3%
35 1
 
0.1%
34 2
 
0.3%
33 3
0.4%
32 3
0.4%
31 5
0.6%
30 6
0.8%

청각(합계)
Real number (ℝ)

ZEROS 

Distinct71
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.350943
Minimum0
Maximum83
Zeros57
Zeros (%)7.2%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T09:10:16.018590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q321
95-th percentile56
Maximum83
Range83
Interquartile range (IQR)19

Descriptive statistics

Standard deviation17.241034
Coefficient of variation (CV)1.2013868
Kurtosis1.8378702
Mean14.350943
Median Absolute Deviation (MAD)6
Skewness1.5833605
Sum11409
Variance297.25326
MonotonicityNot monotonic
2024-04-18T09:10:16.183827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 91
 
11.4%
2 76
 
9.6%
4 58
 
7.3%
0 57
 
7.2%
3 53
 
6.7%
5 41
 
5.2%
7 28
 
3.5%
6 21
 
2.6%
11 18
 
2.3%
9 18
 
2.3%
Other values (61) 334
42.0%
ValueCountFrequency (%)
0 57
7.2%
1 91
11.4%
2 76
9.6%
3 53
6.7%
4 58
7.3%
5 41
5.2%
6 21
 
2.6%
7 28
 
3.5%
8 15
 
1.9%
9 18
 
2.3%
ValueCountFrequency (%)
83 1
 
0.1%
80 2
 
0.3%
74 1
 
0.1%
73 1
 
0.1%
72 2
 
0.3%
69 1
 
0.1%
66 4
0.5%
63 1
 
0.1%
62 3
 
0.4%
61 8
1.0%

언어(남)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.95849057
Minimum0
Maximum8
Zeros415
Zeros (%)52.2%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T09:10:16.335515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3623353
Coefficient of variation (CV)1.4213341
Kurtosis3.239583
Mean0.95849057
Median Absolute Deviation (MAD)0
Skewness1.7800329
Sum762
Variance1.8559574
MonotonicityNot monotonic
2024-04-18T09:10:16.460000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 415
52.2%
1 187
23.5%
2 96
 
12.1%
3 45
 
5.7%
4 27
 
3.4%
6 12
 
1.5%
5 12
 
1.5%
8 1
 
0.1%
ValueCountFrequency (%)
0 415
52.2%
1 187
23.5%
2 96
 
12.1%
3 45
 
5.7%
4 27
 
3.4%
5 12
 
1.5%
6 12
 
1.5%
8 1
 
0.1%
ValueCountFrequency (%)
8 1
 
0.1%
6 12
 
1.5%
5 12
 
1.5%
4 27
 
3.4%
3 45
 
5.7%
2 96
 
12.1%
1 187
23.5%
0 415
52.2%

언어(여)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
608 
1
148 
2
 
29
3
 
9
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 (%)
0 608
76.5%
1 148
 
18.6%
2 29
 
3.6%
3 9
 
1.1%
4 1
 
0.1%

Length

2024-04-18T09:10:16.609416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:10:16.731362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 608
76.5%
1 148
 
18.6%
2 29
 
3.6%
3 9
 
1.1%
4 1
 
0.1%

언어(합계)
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2566038
Minimum0
Maximum10
Zeros360
Zeros (%)45.3%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T09:10:17.700298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.6614054
Coefficient of variation (CV)1.3221395
Kurtosis3.214402
Mean1.2566038
Median Absolute Deviation (MAD)1
Skewness1.7272298
Sum999
Variance2.760268
MonotonicityNot monotonic
2024-04-18T09:10:17.889395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 360
45.3%
1 189
23.8%
2 101
 
12.7%
3 64
 
8.1%
4 35
 
4.4%
5 20
 
2.5%
6 13
 
1.6%
7 9
 
1.1%
8 2
 
0.3%
9 1
 
0.1%
ValueCountFrequency (%)
0 360
45.3%
1 189
23.8%
2 101
 
12.7%
3 64
 
8.1%
4 35
 
4.4%
5 20
 
2.5%
6 13
 
1.6%
7 9
 
1.1%
8 2
 
0.3%
9 1
 
0.1%
ValueCountFrequency (%)
10 1
 
0.1%
9 1
 
0.1%
8 2
 
0.3%
7 9
 
1.1%
6 13
 
1.6%
5 20
 
2.5%
4 35
 
4.4%
3 64
 
8.1%
2 101
12.7%
1 189
23.8%

지적(남)
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.6037736
Minimum0
Maximum50
Zeros232
Zeros (%)29.2%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T09:10:18.081013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation8.4965683
Coefficient of variation (CV)1.2866232
Kurtosis3.9178172
Mean6.6037736
Median Absolute Deviation (MAD)3
Skewness1.8517957
Sum5250
Variance72.191673
MonotonicityNot monotonic
2024-04-18T09:10:18.208830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 232
29.2%
1 84
 
10.6%
2 52
 
6.5%
4 44
 
5.5%
3 38
 
4.8%
6 29
 
3.6%
5 27
 
3.4%
7 27
 
3.4%
9 25
 
3.1%
10 24
 
3.0%
Other values (34) 213
26.8%
ValueCountFrequency (%)
0 232
29.2%
1 84
 
10.6%
2 52
 
6.5%
3 38
 
4.8%
4 44
 
5.5%
5 27
 
3.4%
6 29
 
3.6%
7 27
 
3.4%
8 23
 
2.9%
9 25
 
3.1%
ValueCountFrequency (%)
50 1
 
0.1%
47 1
 
0.1%
46 1
 
0.1%
44 1
 
0.1%
42 1
 
0.1%
41 1
 
0.1%
40 1
 
0.1%
39 1
 
0.1%
38 1
 
0.1%
36 3
0.4%

지적(여)
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3446541
Minimum0
Maximum29
Zeros247
Zeros (%)31.1%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T09:10:18.321657image/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 deviation5.2750022
Coefficient of variation (CV)1.2141363
Kurtosis2.136607
Mean4.3446541
Median Absolute Deviation (MAD)2
Skewness1.5073455
Sum3454
Variance27.825648
MonotonicityNot monotonic
2024-04-18T09:10:18.431363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 247
31.1%
1 102
12.8%
2 66
 
8.3%
3 52
 
6.5%
4 45
 
5.7%
6 37
 
4.7%
5 34
 
4.3%
8 31
 
3.9%
12 28
 
3.5%
7 27
 
3.4%
Other values (17) 126
15.8%
ValueCountFrequency (%)
0 247
31.1%
1 102
12.8%
2 66
 
8.3%
3 52
 
6.5%
4 45
 
5.7%
5 34
 
4.3%
6 37
 
4.7%
7 27
 
3.4%
8 31
 
3.9%
9 23
 
2.9%
ValueCountFrequency (%)
29 1
 
0.1%
26 3
0.4%
25 1
 
0.1%
23 1
 
0.1%
22 3
0.4%
21 1
 
0.1%
20 3
0.4%
19 5
0.6%
18 5
0.6%
17 7
0.9%

지적(합계)
Real number (ℝ)

ZEROS 

Distinct58
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.948428
Minimum0
Maximum73
Zeros194
Zeros (%)24.4%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T09:10:18.558340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q318
95-th percentile39
Maximum73
Range73
Interquartile range (IQR)17

Descriptive statistics

Standard deviation13.187224
Coefficient of variation (CV)1.2044857
Kurtosis2.1950154
Mean10.948428
Median Absolute Deviation (MAD)5
Skewness1.5377866
Sum8704
Variance173.90288
MonotonicityNot monotonic
2024-04-18T09:10:18.700889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 194
24.4%
1 56
 
7.0%
2 43
 
5.4%
3 42
 
5.3%
4 33
 
4.2%
5 30
 
3.8%
10 25
 
3.1%
18 25
 
3.1%
6 24
 
3.0%
14 21
 
2.6%
Other values (48) 302
38.0%
ValueCountFrequency (%)
0 194
24.4%
1 56
 
7.0%
2 43
 
5.4%
3 42
 
5.3%
4 33
 
4.2%
5 30
 
3.8%
6 24
 
3.0%
7 19
 
2.4%
8 17
 
2.1%
9 14
 
1.8%
ValueCountFrequency (%)
73 1
 
0.1%
67 1
 
0.1%
62 2
0.3%
59 1
 
0.1%
58 3
0.4%
52 2
0.3%
51 2
0.3%
50 2
0.3%
49 2
0.3%
48 2
0.3%

뇌병변(남)
Real number (ℝ)

ZEROS 

Distinct55
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.6201258
Minimum0
Maximum61
Zeros125
Zeros (%)15.7%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T09:10:18.838990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q313.5
95-th percentile36
Maximum61
Range61
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation11.887449
Coefficient of variation (CV)1.2356854
Kurtosis2.4305112
Mean9.6201258
Median Absolute Deviation (MAD)4
Skewness1.6941441
Sum7648
Variance141.31143
MonotonicityNot monotonic
2024-04-18T09:10:19.007202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 125
15.7%
1 84
 
10.6%
2 77
 
9.7%
3 56
 
7.0%
5 48
 
6.0%
4 44
 
5.5%
7 35
 
4.4%
8 29
 
3.6%
6 26
 
3.3%
10 22
 
2.8%
Other values (45) 249
31.3%
ValueCountFrequency (%)
0 125
15.7%
1 84
10.6%
2 77
9.7%
3 56
7.0%
4 44
 
5.5%
5 48
 
6.0%
6 26
 
3.3%
7 35
 
4.4%
8 29
 
3.6%
9 11
 
1.4%
ValueCountFrequency (%)
61 1
0.1%
57 1
0.1%
56 2
0.3%
55 1
0.1%
54 1
0.1%
52 2
0.3%
49 2
0.3%
47 1
0.1%
46 1
0.1%
45 2
0.3%

뇌병변(여)
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.8477987
Minimum0
Maximum47
Zeros140
Zeros (%)17.6%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T09:10:19.141282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q39
95-th percentile26.3
Maximum47
Range47
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.0190523
Coefficient of variation (CV)1.3170732
Kurtosis3.8489756
Mean6.8477987
Median Absolute Deviation (MAD)3
Skewness1.9971183
Sum5444
Variance81.343304
MonotonicityNot monotonic
2024-04-18T09:10:19.266497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 140
17.6%
1 116
14.6%
2 100
12.6%
3 74
9.3%
4 39
 
4.9%
5 38
 
4.8%
7 35
 
4.4%
8 25
 
3.1%
9 23
 
2.9%
6 22
 
2.8%
Other values (34) 183
23.0%
ValueCountFrequency (%)
0 140
17.6%
1 116
14.6%
2 100
12.6%
3 74
9.3%
4 39
 
4.9%
5 38
 
4.8%
6 22
 
2.8%
7 35
 
4.4%
8 25
 
3.1%
9 23
 
2.9%
ValueCountFrequency (%)
47 1
 
0.1%
44 2
0.3%
43 2
0.3%
42 1
 
0.1%
40 1
 
0.1%
39 3
0.4%
38 4
0.5%
37 3
0.4%
36 4
0.5%
35 3
0.4%

뇌병변(합계)
Real number (ℝ)

ZEROS 

Distinct81
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.467925
Minimum0
Maximum104
Zeros65
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T09:10:19.420476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median8
Q323
95-th percentile63.3
Maximum104
Range104
Interquartile range (IQR)20

Descriptive statistics

Standard deviation19.763206
Coefficient of variation (CV)1.200103
Kurtosis2.1255074
Mean16.467925
Median Absolute Deviation (MAD)7
Skewness1.6527779
Sum13092
Variance390.5843
MonotonicityNot monotonic
2024-04-18T09:10:19.556593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65
 
8.2%
2 63
 
7.9%
1 62
 
7.8%
3 51
 
6.4%
5 42
 
5.3%
4 34
 
4.3%
8 32
 
4.0%
7 32
 
4.0%
6 30
 
3.8%
9 27
 
3.4%
Other values (71) 357
44.9%
ValueCountFrequency (%)
0 65
8.2%
1 62
7.8%
2 63
7.9%
3 51
6.4%
4 34
4.3%
5 42
5.3%
6 30
3.8%
7 32
4.0%
8 32
4.0%
9 27
3.4%
ValueCountFrequency (%)
104 1
 
0.1%
88 1
 
0.1%
84 2
0.3%
82 2
0.3%
80 4
0.5%
79 1
 
0.1%
78 1
 
0.1%
76 2
0.3%
75 1
 
0.1%
74 1
 
0.1%

자폐(남)
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.99622642
Minimum0
Maximum20
Zeros614
Zeros (%)77.2%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T09:10:19.677036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.5950419
Coefficient of variation (CV)2.6048716
Kurtosis13.499341
Mean0.99622642
Median Absolute Deviation (MAD)0
Skewness3.4756442
Sum792
Variance6.7342427
MonotonicityNot monotonic
2024-04-18T09:10:19.795678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 614
77.2%
1 47
 
5.9%
2 34
 
4.3%
3 22
 
2.8%
4 13
 
1.6%
5 12
 
1.5%
6 10
 
1.3%
7 9
 
1.1%
8 9
 
1.1%
12 7
 
0.9%
Other values (8) 18
 
2.3%
ValueCountFrequency (%)
0 614
77.2%
1 47
 
5.9%
2 34
 
4.3%
3 22
 
2.8%
4 13
 
1.6%
5 12
 
1.5%
6 10
 
1.3%
7 9
 
1.1%
8 9
 
1.1%
9 5
 
0.6%
ValueCountFrequency (%)
20 1
 
0.1%
17 1
 
0.1%
16 1
 
0.1%
15 1
 
0.1%
13 5
0.6%
12 7
0.9%
11 2
 
0.3%
10 2
 
0.3%
9 5
0.6%
8 9
1.1%

자폐(여)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.17106918
Minimum0
Maximum5
Zeros703
Zeros (%)88.4%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T09:10:19.907975image/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 deviation0.54372374
Coefficient of variation (CV)3.1783851
Kurtosis20.093645
Mean0.17106918
Median Absolute Deviation (MAD)0
Skewness4.0495932
Sum136
Variance0.29563551
MonotonicityNot monotonic
2024-04-18T09:10:20.009589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 703
88.4%
1 60
 
7.5%
2 24
 
3.0%
3 5
 
0.6%
4 2
 
0.3%
5 1
 
0.1%
ValueCountFrequency (%)
0 703
88.4%
1 60
 
7.5%
2 24
 
3.0%
3 5
 
0.6%
4 2
 
0.3%
5 1
 
0.1%
ValueCountFrequency (%)
5 1
 
0.1%
4 2
 
0.3%
3 5
 
0.6%
2 24
 
3.0%
1 60
 
7.5%
0 703
88.4%

자폐(합계)
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1672956
Minimum0
Maximum21
Zeros599
Zeros (%)75.3%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T09:10:20.118940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.9583059
Coefficient of variation (CV)2.5343246
Kurtosis12.754149
Mean1.1672956
Median Absolute Deviation (MAD)0
Skewness3.4011426
Sum928
Variance8.7515739
MonotonicityNot monotonic
2024-04-18T09:10:20.232703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 599
75.3%
1 55
 
6.9%
3 25
 
3.1%
2 24
 
3.0%
4 17
 
2.1%
5 14
 
1.8%
6 12
 
1.5%
7 10
 
1.3%
9 6
 
0.8%
8 6
 
0.8%
Other values (10) 27
 
3.4%
ValueCountFrequency (%)
0 599
75.3%
1 55
 
6.9%
2 24
 
3.0%
3 25
 
3.1%
4 17
 
2.1%
5 14
 
1.8%
6 12
 
1.5%
7 10
 
1.3%
8 6
 
0.8%
9 6
 
0.8%
ValueCountFrequency (%)
21 1
 
0.1%
19 1
 
0.1%
18 1
 
0.1%
17 3
0.4%
15 2
0.3%
14 4
0.5%
13 4
0.5%
12 4
0.5%
11 3
0.4%
10 4
0.5%

정신(남)
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8465409
Minimum0
Maximum43
Zeros393
Zeros (%)49.4%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T09:10:20.352743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile18
Maximum43
Range43
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.2513755
Coefficient of variation (CV)1.6251941
Kurtosis5.5365899
Mean3.8465409
Median Absolute Deviation (MAD)1
Skewness2.1874264
Sum3058
Variance39.079695
MonotonicityNot monotonic
2024-04-18T09:10:20.468207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 393
49.4%
1 67
 
8.4%
3 51
 
6.4%
2 40
 
5.0%
4 29
 
3.6%
5 24
 
3.0%
12 23
 
2.9%
10 19
 
2.4%
6 18
 
2.3%
8 15
 
1.9%
Other values (22) 116
 
14.6%
ValueCountFrequency (%)
0 393
49.4%
1 67
 
8.4%
2 40
 
5.0%
3 51
 
6.4%
4 29
 
3.6%
5 24
 
3.0%
6 18
 
2.3%
7 13
 
1.6%
8 15
 
1.9%
9 15
 
1.9%
ValueCountFrequency (%)
43 1
 
0.1%
37 2
 
0.3%
30 1
 
0.1%
29 1
 
0.1%
27 1
 
0.1%
26 2
 
0.3%
25 1
 
0.1%
24 3
0.4%
23 3
0.4%
22 5
0.6%

정신(여)
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5308176
Minimum0
Maximum30
Zeros370
Zeros (%)46.5%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T09:10:20.571963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile16
Maximum30
Range30
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.4532586
Coefficient of variation (CV)1.5444747
Kurtosis2.8610117
Mean3.5308176
Median Absolute Deviation (MAD)1
Skewness1.831307
Sum2807
Variance29.738029
MonotonicityNot monotonic
2024-04-18T09:10:20.683741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 370
46.5%
1 95
 
11.9%
2 51
 
6.4%
3 41
 
5.2%
5 28
 
3.5%
7 27
 
3.4%
6 25
 
3.1%
4 19
 
2.4%
14 16
 
2.0%
8 14
 
1.8%
Other values (17) 109
 
13.7%
ValueCountFrequency (%)
0 370
46.5%
1 95
 
11.9%
2 51
 
6.4%
3 41
 
5.2%
4 19
 
2.4%
5 28
 
3.5%
6 25
 
3.1%
7 27
 
3.4%
8 14
 
1.8%
9 11
 
1.4%
ValueCountFrequency (%)
30 1
 
0.1%
27 1
 
0.1%
24 3
 
0.4%
23 2
 
0.3%
22 3
 
0.4%
21 3
 
0.4%
20 3
 
0.4%
19 5
0.6%
18 3
 
0.4%
17 9
1.1%

정신(합계)
Real number (ℝ)

ZEROS 

Distinct52
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3773585
Minimum0
Maximum64
Zeros329
Zeros (%)41.4%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T09:10:20.806392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q310
95-th percentile34
Maximum64
Range64
Interquartile range (IQR)10

Descriptive statistics

Standard deviation11.367393
Coefficient of variation (CV)1.5408487
Kurtosis3.28185
Mean7.3773585
Median Absolute Deviation (MAD)2
Skewness1.8968151
Sum5865
Variance129.21762
MonotonicityNot monotonic
2024-04-18T09:10:20.930582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 329
41.4%
1 66
 
8.3%
2 40
 
5.0%
3 36
 
4.5%
4 27
 
3.4%
5 20
 
2.5%
6 20
 
2.5%
7 19
 
2.4%
8 17
 
2.1%
9 12
 
1.5%
Other values (42) 209
26.3%
ValueCountFrequency (%)
0 329
41.4%
1 66
 
8.3%
2 40
 
5.0%
3 36
 
4.5%
4 27
 
3.4%
5 20
 
2.5%
6 20
 
2.5%
7 19
 
2.4%
8 17
 
2.1%
9 12
 
1.5%
ValueCountFrequency (%)
64 1
0.1%
60 1
0.1%
56 1
0.1%
51 2
0.3%
50 1
0.1%
48 2
0.3%
45 1
0.1%
44 1
0.1%
43 1
0.1%
42 2
0.3%

신장(남)
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5081761
Minimum0
Maximum27
Zeros343
Zeros (%)43.1%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T09:10:21.107440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile10
Maximum27
Range27
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.5536012
Coefficient of variation (CV)1.4168069
Kurtosis4.8866506
Mean2.5081761
Median Absolute Deviation (MAD)1
Skewness1.9281172
Sum1994
Variance12.628082
MonotonicityNot monotonic
2024-04-18T09:10:21.215893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 343
43.1%
1 121
 
15.2%
2 73
 
9.2%
3 45
 
5.7%
5 38
 
4.8%
6 35
 
4.4%
4 34
 
4.3%
8 27
 
3.4%
9 17
 
2.1%
10 15
 
1.9%
Other values (9) 47
 
5.9%
ValueCountFrequency (%)
0 343
43.1%
1 121
 
15.2%
2 73
 
9.2%
3 45
 
5.7%
4 34
 
4.3%
5 38
 
4.8%
6 35
 
4.4%
7 13
 
1.6%
8 27
 
3.4%
9 17
 
2.1%
ValueCountFrequency (%)
27 1
 
0.1%
22 1
 
0.1%
18 1
 
0.1%
15 1
 
0.1%
14 5
 
0.6%
13 5
 
0.6%
12 9
1.1%
11 11
1.4%
10 15
1.9%
9 17
2.1%

신장(여)
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8616352
Minimum0
Maximum16
Zeros374
Zeros (%)47.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T09:10:21.380955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile7
Maximum16
Range16
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.680929
Coefficient of variation (CV)1.4400936
Kurtosis3.9506324
Mean1.8616352
Median Absolute Deviation (MAD)1
Skewness1.8870973
Sum1480
Variance7.1873802
MonotonicityNot monotonic
2024-04-18T09:10:21.537007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 374
47.0%
1 131
 
16.5%
2 68
 
8.6%
3 54
 
6.8%
4 45
 
5.7%
5 37
 
4.7%
6 29
 
3.6%
7 18
 
2.3%
8 13
 
1.6%
9 9
 
1.1%
Other values (6) 17
 
2.1%
ValueCountFrequency (%)
0 374
47.0%
1 131
 
16.5%
2 68
 
8.6%
3 54
 
6.8%
4 45
 
5.7%
5 37
 
4.7%
6 29
 
3.6%
7 18
 
2.3%
8 13
 
1.6%
9 9
 
1.1%
ValueCountFrequency (%)
16 2
 
0.3%
14 1
 
0.1%
13 2
 
0.3%
12 3
 
0.4%
11 3
 
0.4%
10 6
 
0.8%
9 9
 
1.1%
8 13
1.6%
7 18
2.3%
6 29
3.6%

신장(합계)
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3698113
Minimum0
Maximum36
Zeros293
Zeros (%)36.9%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T09:10:21.665549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile17
Maximum36
Range36
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.8349761
Coefficient of variation (CV)1.3352925
Kurtosis2.8283317
Mean4.3698113
Median Absolute Deviation (MAD)2
Skewness1.6785135
Sum3474
Variance34.046946
MonotonicityNot monotonic
2024-04-18T09:10:21.814401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 293
36.9%
1 93
 
11.7%
2 58
 
7.3%
3 42
 
5.3%
5 39
 
4.9%
4 38
 
4.8%
8 28
 
3.5%
10 25
 
3.1%
9 24
 
3.0%
6 21
 
2.6%
Other values (19) 134
16.9%
ValueCountFrequency (%)
0 293
36.9%
1 93
 
11.7%
2 58
 
7.3%
3 42
 
5.3%
4 38
 
4.8%
5 39
 
4.9%
6 21
 
2.6%
7 19
 
2.4%
8 28
 
3.5%
9 24
 
3.0%
ValueCountFrequency (%)
36 1
 
0.1%
29 1
 
0.1%
28 3
 
0.4%
26 1
 
0.1%
25 1
 
0.1%
23 3
 
0.4%
22 2
 
0.3%
21 1
 
0.1%
20 10
1.3%
19 4
 
0.5%

심장(남)
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
671 
1
100 
2
 
23
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 (%)
0 671
84.4%
1 100
 
12.6%
2 23
 
2.9%
3 1
 
0.1%

Length

2024-04-18T09:10:21.991957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:10:22.105678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 671
84.4%
1 100
 
12.6%
2 23
 
2.9%
3 1
 
0.1%

심장(여)
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
700 
1
85 
2
 
8
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 (%)
0 700
88.1%
1 85
 
10.7%
2 8
 
1.0%
3 2
 
0.3%

Length

2024-04-18T09:10:22.212912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:10:22.317679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 700
88.1%
1 85
 
10.7%
2 8
 
1.0%
3 2
 
0.3%

심장(합계)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
607 
1
135 
2
 
40
3
 
11
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
76.4%
1 135
 
17.0%
2 40
 
5.0%
3 11
 
1.4%
4 2
 
0.3%

Length

2024-04-18T09:10:22.420424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:10:22.546592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 607
76.4%
1 135
 
17.0%
2 40
 
5.0%
3 11
 
1.4%
4 2
 
0.3%

호흡기(남)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4591195
Minimum0
Maximum7
Zeros586
Zeros (%)73.7%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T09:10:22.659296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2.3
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.92503753
Coefficient of variation (CV)2.0148078
Kurtosis6.8640201
Mean0.4591195
Median Absolute Deviation (MAD)0
Skewness2.440951
Sum365
Variance0.85569444
MonotonicityNot monotonic
2024-04-18T09:10:22.769831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 586
73.7%
1 112
 
14.1%
2 57
 
7.2%
3 25
 
3.1%
4 13
 
1.6%
7 1
 
0.1%
5 1
 
0.1%
ValueCountFrequency (%)
0 586
73.7%
1 112
 
14.1%
2 57
 
7.2%
3 25
 
3.1%
4 13
 
1.6%
5 1
 
0.1%
7 1
 
0.1%
ValueCountFrequency (%)
7 1
 
0.1%
5 1
 
0.1%
4 13
 
1.6%
3 25
 
3.1%
2 57
 
7.2%
1 112
 
14.1%
0 586
73.7%

호흡기(여)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
715 
1
 
63
2
 
14
3
 
2
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 (%)
0 715
89.9%
1 63
 
7.9%
2 14
 
1.8%
3 2
 
0.3%
4 1
 
0.1%

Length

2024-04-18T09:10:22.924222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:10:23.028642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 715
89.9%
1 63
 
7.9%
2 14
 
1.8%
3 2
 
0.3%
4 1
 
0.1%

호흡기(합계)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.58616352
Minimum0
Maximum7
Zeros562
Zeros (%)70.7%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T09:10:23.133626image/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 deviation1.1372155
Coefficient of variation (CV)1.9400995
Kurtosis5.6580427
Mean0.58616352
Median Absolute Deviation (MAD)0
Skewness2.3284373
Sum466
Variance1.2932592
MonotonicityNot monotonic
2024-04-18T09:10:23.303021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 562
70.7%
1 114
 
14.3%
2 53
 
6.7%
3 33
 
4.2%
4 23
 
2.9%
5 7
 
0.9%
7 2
 
0.3%
6 1
 
0.1%
ValueCountFrequency (%)
0 562
70.7%
1 114
 
14.3%
2 53
 
6.7%
3 33
 
4.2%
4 23
 
2.9%
5 7
 
0.9%
6 1
 
0.1%
7 2
 
0.3%
ValueCountFrequency (%)
7 2
 
0.3%
6 1
 
0.1%
5 7
 
0.9%
4 23
 
2.9%
3 33
 
4.2%
2 53
 
6.7%
1 114
 
14.3%
0 562
70.7%

간(남)
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.37861635
Minimum0
Maximum10
Zeros639
Zeros (%)80.4%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T09:10:23.446903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.99686946
Coefficient of variation (CV)2.6329276
Kurtosis22.43282
Mean0.37861635
Median Absolute Deviation (MAD)0
Skewness4.0424107
Sum301
Variance0.99374871
MonotonicityNot monotonic
2024-04-18T09:10:23.558204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 639
80.4%
1 85
 
10.7%
2 33
 
4.2%
3 23
 
2.9%
5 6
 
0.8%
4 5
 
0.6%
10 1
 
0.1%
6 1
 
0.1%
8 1
 
0.1%
7 1
 
0.1%
ValueCountFrequency (%)
0 639
80.4%
1 85
 
10.7%
2 33
 
4.2%
3 23
 
2.9%
4 5
 
0.6%
5 6
 
0.8%
6 1
 
0.1%
7 1
 
0.1%
8 1
 
0.1%
10 1
 
0.1%
ValueCountFrequency (%)
10 1
 
0.1%
8 1
 
0.1%
7 1
 
0.1%
6 1
 
0.1%
5 6
 
0.8%
4 5
 
0.6%
3 23
 
2.9%
2 33
 
4.2%
1 85
 
10.7%
0 639
80.4%

간(여)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
695 
1
85 
2
 
12
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 (%)
0 695
87.4%
1 85
 
10.7%
2 12
 
1.5%
4 2
 
0.3%
3 1
 
0.1%

Length

2024-04-18T09:10:23.688009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:10:23.795879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 695
87.4%
1 85
 
10.7%
2 12
 
1.5%
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%
Mean0.52955975
Minimum0
Maximum11
Zeros591
Zeros (%)74.3%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T09:10:23.902908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum11
Range11
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2221999
Coefficient of variation (CV)2.3079546
Kurtosis17.328163
Mean0.52955975
Median Absolute Deviation (MAD)0
Skewness3.5870372
Sum421
Variance1.4937725
MonotonicityNot monotonic
2024-04-18T09:10:24.023694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 591
74.3%
1 106
 
13.3%
2 48
 
6.0%
3 20
 
2.5%
4 12
 
1.5%
5 9
 
1.1%
6 5
 
0.6%
7 1
 
0.1%
11 1
 
0.1%
10 1
 
0.1%
ValueCountFrequency (%)
0 591
74.3%
1 106
 
13.3%
2 48
 
6.0%
3 20
 
2.5%
4 12
 
1.5%
5 9
 
1.1%
6 5
 
0.6%
7 1
 
0.1%
8 1
 
0.1%
10 1
 
0.1%
ValueCountFrequency (%)
11 1
 
0.1%
10 1
 
0.1%
8 1
 
0.1%
7 1
 
0.1%
6 5
 
0.6%
5 9
 
1.1%
4 12
 
1.5%
3 20
 
2.5%
2 48
6.0%
1 106
13.3%

안면(남)
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
717 
1
72 
2
 
5
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 (%)
0 717
90.2%
1 72
 
9.1%
2 5
 
0.6%
3 1
 
0.1%

Length

2024-04-18T09:10:24.137486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:10:24.250055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 717
90.2%
1 72
 
9.1%
2 5
 
0.6%
3 1
 
0.1%

안면(여)
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
741 
1
 
49
2
 
5

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 (%)
0 741
93.2%
1 49
 
6.2%
2 5
 
0.6%

Length

2024-04-18T09:10:24.367816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:10:24.457927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 741
93.2%
1 49
 
6.2%
2 5
 
0.6%

안면(합계)
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
673 
1
104 
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 (%)
0 673
84.7%
1 104
 
13.1%
2 14
 
1.8%
3 4
 
0.5%

Length

2024-04-18T09:10:24.557778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:10:24.659053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 673
84.7%
1 104
 
13.1%
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%
Mean0.43396226
Minimum0
Maximum6
Zeros579
Zeros (%)72.8%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T09:10:24.770933image/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 deviation0.85856407
Coefficient of variation (CV)1.9784303
Kurtosis8.3239674
Mean0.43396226
Median Absolute Deviation (MAD)0
Skewness2.5697456
Sum345
Variance0.73713227
MonotonicityNot monotonic
2024-04-18T09:10:24.889954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 579
72.8%
1 129
 
16.2%
2 61
 
7.7%
3 16
 
2.0%
4 6
 
0.8%
6 2
 
0.3%
5 2
 
0.3%
ValueCountFrequency (%)
0 579
72.8%
1 129
 
16.2%
2 61
 
7.7%
3 16
 
2.0%
4 6
 
0.8%
5 2
 
0.3%
6 2
 
0.3%
ValueCountFrequency (%)
6 2
 
0.3%
5 2
 
0.3%
4 6
 
0.8%
3 16
 
2.0%
2 61
 
7.7%
1 129
 
16.2%
0 579
72.8%

장루.요루(여)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
617 
1
123 
2
 
44
3
 
9
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 (%)
0 617
77.6%
1 123
 
15.5%
2 44
 
5.5%
3 9
 
1.1%
4 2
 
0.3%

Length

2024-04-18T09:10:24.999533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:10:25.094377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 617
77.6%
1 123
 
15.5%
2 44
 
5.5%
3 9
 
1.1%
4 2
 
0.3%

장루.요루(합계)
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.74339623
Minimum0
Maximum9
Zeros505
Zeros (%)63.5%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T09:10:25.186019image/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 deviation1.2852843
Coefficient of variation (CV)1.7289357
Kurtosis6.3237692
Mean0.74339623
Median Absolute Deviation (MAD)0
Skewness2.2854096
Sum591
Variance1.6519557
MonotonicityNot monotonic
2024-04-18T09:10:25.287360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 505
63.5%
1 141
 
17.7%
2 67
 
8.4%
3 43
 
5.4%
4 24
 
3.0%
6 7
 
0.9%
5 5
 
0.6%
8 1
 
0.1%
7 1
 
0.1%
9 1
 
0.1%
ValueCountFrequency (%)
0 505
63.5%
1 141
 
17.7%
2 67
 
8.4%
3 43
 
5.4%
4 24
 
3.0%
5 5
 
0.6%
6 7
 
0.9%
7 1
 
0.1%
8 1
 
0.1%
9 1
 
0.1%
ValueCountFrequency (%)
9 1
 
0.1%
8 1
 
0.1%
7 1
 
0.1%
6 7
 
0.9%
5 5
 
0.6%
4 24
 
3.0%
3 43
 
5.4%
2 67
 
8.4%
1 141
 
17.7%
0 505
63.5%

간질(남)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.21132075
Minimum0
Maximum6
Zeros668
Zeros (%)84.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T09:10:25.392304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.57058249
Coefficient of variation (CV)2.7000778
Kurtosis23.052735
Mean0.21132075
Median Absolute Deviation (MAD)0
Skewness3.9736677
Sum168
Variance0.32556437
MonotonicityNot monotonic
2024-04-18T09:10:25.488941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 668
84.0%
1 99
 
12.5%
2 21
 
2.6%
3 3
 
0.4%
4 3
 
0.4%
6 1
 
0.1%
ValueCountFrequency (%)
0 668
84.0%
1 99
 
12.5%
2 21
 
2.6%
3 3
 
0.4%
4 3
 
0.4%
6 1
 
0.1%
ValueCountFrequency (%)
6 1
 
0.1%
4 3
 
0.4%
3 3
 
0.4%
2 21
 
2.6%
1 99
 
12.5%
0 668
84.0%

간질(여)
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
697 
1
78 
2
 
18
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
87.7%
1 78
 
9.8%
2 18
 
2.3%
3 2
 
0.3%

Length

2024-04-18T09:10:25.596915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:10:25.689250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 697
87.7%
1 78
 
9.8%
2 18
 
2.3%
3 2
 
0.3%

간질(합계)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.36226415
Minimum0
Maximum8
Zeros607
Zeros (%)76.4%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T09:10:25.776223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.79803594
Coefficient of variation (CV)2.2029117
Kurtosis15.76907
Mean0.36226415
Median Absolute Deviation (MAD)0
Skewness3.236184
Sum288
Variance0.63686137
MonotonicityNot monotonic
2024-04-18T09:10:25.878303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 607
76.4%
1 125
 
15.7%
2 39
 
4.9%
3 16
 
2.0%
4 6
 
0.8%
5 1
 
0.1%
8 1
 
0.1%
ValueCountFrequency (%)
0 607
76.4%
1 125
 
15.7%
2 39
 
4.9%
3 16
 
2.0%
4 6
 
0.8%
5 1
 
0.1%
8 1
 
0.1%
ValueCountFrequency (%)
8 1
 
0.1%
5 1
 
0.1%
4 6
 
0.8%
3 16
 
2.0%
2 39
 
4.9%
1 125
 
15.7%
0 607
76.4%

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)간질(남)간질(여)간질(합계)
0중구23000000000000011112000000000000000000000000000
1중구36000000101101000224000000000000000000000000000
2중구43000000112000000101000000000000000000000000000
3중구55000101011000011101101000000000000000000000000
4중구66101000101000213011000000000000000000000000000
5중구77000000101000213011202000000000000000000000000
6중구86000000011011112101101000000000000000000000000
7중구96000101000000112101202000000000000000000000000
8중구1010101101000000224000404000000000000000000000000
9중구1111000000112101314202011000000011000000000000000
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)간질(남)간질(여)간질(합계)
785달성군89241671125510000000224000000000000000000000101000
786달성군9014257000145000000112000000000000000000000000000
787달성군9113055011055000000022000000000000000000000000000
788달성군9213112022415000000123000000000000000000000011000
789달성군934000011123000000000000000000000000000000000000
790달성군943022000011000000000000000000000000000000000000
791달성군953022000011000000000000000000000000000000000000
792달성군962000000112000000000000000000000000000000000000
793달성군973011000112000000000000000000000000000000000000
794달성군983011000112000000000000000000000000000000000000