Overview

Dataset statistics

Number of variables17
Number of observations44
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.7 KiB
Average record size in memory155.0 B

Variable types

Text1
Categorical2
Numeric14

Dataset

Description인천광역시 부평구 장애 유형별 등록현황 데이터는 각 동별 지체, 시각, 청각, 언어, 지적 등 장애 유형별 등록 현황을 제공합니다.
Author인천광역시 부평구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15112955&srcSe=7661IVAWM27C61E190

Alerts

지체 is highly overall correlated with 시각 and 9 other fieldsHigh correlation
시각 is highly overall correlated with 지체 and 9 other fieldsHigh correlation
청각 is highly overall correlated with 지체 and 9 other fieldsHigh correlation
언어 is highly overall correlated with 뇌병변High correlation
지적 is highly overall correlated with 지체 and 10 other fieldsHigh correlation
뇌병변 is highly overall correlated with 언어 and 4 other fieldsHigh correlation
자폐성 is highly overall correlated with 지체 and 11 other fieldsHigh correlation
정신 is highly overall correlated with 지체 and 10 other fieldsHigh correlation
신장 is highly overall correlated with 지체 and 10 other fieldsHigh correlation
호흡기 is highly overall correlated with 지적 and 5 other fieldsHigh correlation
is highly overall correlated with 지체 and 8 other fieldsHigh correlation
장루_요루 is highly overall correlated with 지체 and 9 other fieldsHigh correlation
뇌전증 is highly overall correlated with 지체 and 2 other fieldsHigh correlation
장애구분(1 심한장애 2 심하지 않은 장애) is highly overall correlated with 지체 and 10 other fieldsHigh correlation
심장 is highly overall correlated with 자폐성 and 1 other fieldsHigh correlation
지적 has 22 (50.0%) zerosZeros
자폐성 has 22 (50.0%) zerosZeros
정신 has 7 (15.9%) zerosZeros
호흡기 has 20 (45.5%) zerosZeros
has 14 (31.8%) zerosZeros
안면 has 16 (36.4%) zerosZeros
장루_요루 has 17 (38.6%) zerosZeros
뇌전증 has 14 (31.8%) zerosZeros

Reproduction

Analysis started2024-05-10 22:05:48.691855
Analysis finished2024-05-10 22:06:41.795991
Duration53.1 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct22
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-05-10T22:06:41.997359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.9545455
Min length3

Characters and Unicode

Total characters174
Distinct characters20
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부평1동
2nd row부평2동
3rd row부평3동
4th row부평4동
5th row부평5동
ValueCountFrequency (%)
부평1동 2
 
4.5%
부평2동 2
 
4.5%
십정1동 2
 
4.5%
일신동 2
 
4.5%
부개3동 2
 
4.5%
부개2동 2
 
4.5%
부개1동 2
 
4.5%
삼산2동 2
 
4.5%
삼산1동 2
 
4.5%
갈산2동 2
 
4.5%
Other values (12) 24
54.5%
2024-05-10T22:06:42.809939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44
25.3%
18
10.3%
16
 
9.2%
1 14
 
8.0%
2 14
 
8.0%
12
 
6.9%
8
 
4.6%
3 6
 
3.4%
6
 
3.4%
4 4
 
2.3%
Other values (10) 32
18.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 132
75.9%
Decimal Number 42
 
24.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
44
33.3%
18
13.6%
16
 
12.1%
12
 
9.1%
8
 
6.1%
6
 
4.5%
4
 
3.0%
4
 
3.0%
4
 
3.0%
4
 
3.0%
Other values (4) 12
 
9.1%
Decimal Number
ValueCountFrequency (%)
1 14
33.3%
2 14
33.3%
3 6
14.3%
4 4
 
9.5%
5 2
 
4.8%
6 2
 
4.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 132
75.9%
Common 42
 
24.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
44
33.3%
18
13.6%
16
 
12.1%
12
 
9.1%
8
 
6.1%
6
 
4.5%
4
 
3.0%
4
 
3.0%
4
 
3.0%
4
 
3.0%
Other values (4) 12
 
9.1%
Common
ValueCountFrequency (%)
1 14
33.3%
2 14
33.3%
3 6
14.3%
4 4
 
9.5%
5 2
 
4.8%
6 2
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 132
75.9%
ASCII 42
 
24.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
44
33.3%
18
13.6%
16
 
12.1%
12
 
9.1%
8
 
6.1%
6
 
4.5%
4
 
3.0%
4
 
3.0%
4
 
3.0%
4
 
3.0%
Other values (4) 12
 
9.1%
ASCII
ValueCountFrequency (%)
1 14
33.3%
2 14
33.3%
3 6
14.3%
4 4
 
9.5%
5 2
 
4.8%
6 2
 
4.8%
Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
1
22 
2
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 22
50.0%
2 22
50.0%

Length

2024-05-10T22:06:43.247669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:06:43.567576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 22
50.0%
2 22
50.0%

지체
Real number (ℝ)

HIGH CORRELATION 

Distinct42
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean263.84091
Minimum44
Maximum705
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-10T22:06:43.877517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44
5-th percentile63.6
Q1108
median238.5
Q3410
95-th percentile577.45
Maximum705
Range661
Interquartile range (IQR)302

Descriptive statistics

Standard deviation180.78124
Coefficient of variation (CV)0.68519034
Kurtosis-0.76258065
Mean263.84091
Median Absolute Deviation (MAD)145.5
Skewness0.57814367
Sum11609
Variance32681.858
MonotonicityNot monotonic
2024-05-10T22:06:44.444581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
109 2
 
4.5%
93 2
 
4.5%
149 1
 
2.3%
440 1
 
2.3%
322 1
 
2.3%
225 1
 
2.3%
424 1
 
2.3%
407 1
 
2.3%
252 1
 
2.3%
321 1
 
2.3%
Other values (32) 32
72.7%
ValueCountFrequency (%)
44 1
2.3%
58 1
2.3%
63 1
2.3%
67 1
2.3%
75 1
2.3%
77 1
2.3%
79 1
2.3%
81 1
2.3%
93 2
4.5%
105 1
2.3%
ValueCountFrequency (%)
705 1
2.3%
606 1
2.3%
586 1
2.3%
529 1
2.3%
523 1
2.3%
500 1
2.3%
453 1
2.3%
440 1
2.3%
427 1
2.3%
424 1
2.3%

시각
Real number (ℝ)

HIGH CORRELATION 

Distinct35
Distinct (%)79.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.386364
Minimum10
Maximum158
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-10T22:06:45.122685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile13.15
Q121
median47.5
Q387.25
95-th percentile137
Maximum158
Range148
Interquartile range (IQR)66.25

Descriptive statistics

Standard deviation42.6234
Coefficient of variation (CV)0.7300232
Kurtosis-0.45116706
Mean58.386364
Median Absolute Deviation (MAD)31.5
Skewness0.77506397
Sum2569
Variance1816.7542
MonotonicityNot monotonic
2024-05-10T22:06:45.600127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
15 3
 
6.8%
47 2
 
4.5%
59 2
 
4.5%
14 2
 
4.5%
21 2
 
4.5%
33 2
 
4.5%
137 2
 
4.5%
25 2
 
4.5%
144 1
 
2.3%
53 1
 
2.3%
Other values (25) 25
56.8%
ValueCountFrequency (%)
10 1
 
2.3%
11 1
 
2.3%
13 1
 
2.3%
14 2
4.5%
15 3
6.8%
17 1
 
2.3%
18 1
 
2.3%
21 2
4.5%
25 2
4.5%
26 1
 
2.3%
ValueCountFrequency (%)
158 1
2.3%
144 1
2.3%
137 2
4.5%
136 1
2.3%
123 1
2.3%
103 1
2.3%
97 1
2.3%
94 1
2.3%
90 1
2.3%
88 1
2.3%

청각
Real number (ℝ)

HIGH CORRELATION 

Distinct40
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.90909
Minimum11
Maximum376
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-10T22:06:46.200571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile21.15
Q143.75
median91.5
Q3198.75
95-th percentile255.7
Maximum376
Range365
Interquartile range (IQR)155

Descriptive statistics

Standard deviation89.096451
Coefficient of variation (CV)0.75563682
Kurtosis-0.01776493
Mean117.90909
Median Absolute Deviation (MAD)55.5
Skewness0.81444609
Sum5188
Variance7938.1776
MonotonicityNot monotonic
2024-05-10T22:06:46.788251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
146 2
 
4.5%
45 2
 
4.5%
42 2
 
4.5%
105 2
 
4.5%
216 1
 
2.3%
259 1
 
2.3%
219 1
 
2.3%
98 1
 
2.3%
213 1
 
2.3%
227 1
 
2.3%
Other values (30) 30
68.2%
ValueCountFrequency (%)
11 1
2.3%
17 1
2.3%
21 1
2.3%
22 1
2.3%
25 1
2.3%
27 1
2.3%
35 1
2.3%
37 1
2.3%
42 2
4.5%
43 1
2.3%
ValueCountFrequency (%)
376 1
2.3%
291 1
2.3%
259 1
2.3%
237 1
2.3%
227 1
2.3%
220 1
2.3%
219 1
2.3%
216 1
2.3%
213 1
2.3%
205 1
2.3%

언어
Real number (ℝ)

HIGH CORRELATION 

Distinct14
Distinct (%)31.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5454545
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-10T22:06:47.190368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q38
95-th percentile12.85
Maximum18
Range17
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.6437557
Coefficient of variation (CV)0.5566849
Kurtosis0.96784211
Mean6.5454545
Median Absolute Deviation (MAD)2
Skewness0.764792
Sum288
Variance13.276956
MonotonicityNot monotonic
2024-05-10T22:06:47.670009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
6 8
18.2%
8 6
13.6%
2 6
13.6%
5 5
11.4%
4 3
 
6.8%
7 3
 
6.8%
10 3
 
6.8%
11 2
 
4.5%
1 2
 
4.5%
13 2
 
4.5%
Other values (4) 4
9.1%
ValueCountFrequency (%)
1 2
 
4.5%
2 6
13.6%
3 1
 
2.3%
4 3
 
6.8%
5 5
11.4%
6 8
18.2%
7 3
 
6.8%
8 6
13.6%
9 1
 
2.3%
10 3
 
6.8%
ValueCountFrequency (%)
18 1
 
2.3%
13 2
 
4.5%
12 1
 
2.3%
11 2
 
4.5%
10 3
 
6.8%
9 1
 
2.3%
8 6
13.6%
7 3
 
6.8%
6 8
18.2%
5 5
11.4%

지적
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct21
Distinct (%)47.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.431818
Minimum0
Maximum179
Zeros22
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-10T22:06:48.052150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median24
Q392.25
95-th percentile130.95
Maximum179
Range179
Interquartile range (IQR)92.25

Descriptive statistics

Standard deviation54.126638
Coefficient of variation (CV)1.0949757
Kurtosis-1.130962
Mean49.431818
Median Absolute Deviation (MAD)24
Skewness0.48310131
Sum2175
Variance2929.6929
MonotonicityNot monotonic
2024-05-10T22:06:48.483924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 22
50.0%
108 2
 
4.5%
81 2
 
4.5%
142 1
 
2.3%
63 1
 
2.3%
86 1
 
2.3%
77 1
 
2.3%
93 1
 
2.3%
105 1
 
2.3%
179 1
 
2.3%
Other values (11) 11
25.0%
ValueCountFrequency (%)
0 22
50.0%
48 1
 
2.3%
63 1
 
2.3%
68 1
 
2.3%
70 1
 
2.3%
77 1
 
2.3%
81 2
 
4.5%
83 1
 
2.3%
86 1
 
2.3%
90 1
 
2.3%
ValueCountFrequency (%)
179 1
2.3%
142 1
2.3%
132 1
2.3%
125 1
2.3%
120 1
2.3%
117 1
2.3%
108 2
4.5%
107 1
2.3%
105 1
2.3%
93 1
2.3%

뇌병변
Real number (ℝ)

HIGH CORRELATION 

Distinct34
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.204545
Minimum21
Maximum157
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-10T22:06:48.888065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile32
Q137.75
median52.5
Q365
95-th percentile96.65
Maximum157
Range136
Interquartile range (IQR)27.25

Descriptive statistics

Standard deviation24.312481
Coefficient of variation (CV)0.43257143
Kurtosis5.7492377
Mean56.204545
Median Absolute Deviation (MAD)13.5
Skewness1.853731
Sum2473
Variance591.09672
MonotonicityNot monotonic
2024-05-10T22:06:49.328107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
37 3
 
6.8%
76 2
 
4.5%
65 2
 
4.5%
32 2
 
4.5%
51 2
 
4.5%
46 2
 
4.5%
64 2
 
4.5%
36 2
 
4.5%
53 2
 
4.5%
58 1
 
2.3%
Other values (24) 24
54.5%
ValueCountFrequency (%)
21 1
 
2.3%
25 1
 
2.3%
32 2
4.5%
33 1
 
2.3%
34 1
 
2.3%
36 2
4.5%
37 3
6.8%
38 1
 
2.3%
40 1
 
2.3%
42 1
 
2.3%
ValueCountFrequency (%)
157 1
2.3%
100 1
2.3%
98 1
2.3%
89 1
2.3%
85 1
2.3%
80 1
2.3%
76 2
4.5%
70 1
2.3%
67 1
2.3%
65 2
4.5%

자폐성
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct12
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8181818
Minimum0
Maximum32
Zeros22
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-10T22:06:49.806688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.5
Q315.25
95-th percentile24
Maximum32
Range32
Interquartile range (IQR)15.25

Descriptive statistics

Standard deviation10.219163
Coefficient of variation (CV)1.1588741
Kurtosis-0.78693495
Mean8.8181818
Median Absolute Deviation (MAD)3.5
Skewness0.70883592
Sum388
Variance104.43129
MonotonicityNot monotonic
2024-05-10T22:06:50.012710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 22
50.0%
22 4
 
9.1%
15 4
 
9.1%
8 3
 
6.8%
32 2
 
4.5%
14 2
 
4.5%
24 2
 
4.5%
17 1
 
2.3%
7 1
 
2.3%
23 1
 
2.3%
Other values (2) 2
 
4.5%
ValueCountFrequency (%)
0 22
50.0%
7 1
 
2.3%
8 3
 
6.8%
13 1
 
2.3%
14 2
 
4.5%
15 4
 
9.1%
16 1
 
2.3%
17 1
 
2.3%
22 4
 
9.1%
23 1
 
2.3%
ValueCountFrequency (%)
32 2
4.5%
24 2
4.5%
23 1
 
2.3%
22 4
9.1%
17 1
 
2.3%
16 1
 
2.3%
15 4
9.1%
14 2
4.5%
13 1
 
2.3%
8 3
6.8%

정신
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct22
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.409091
Minimum0
Maximum156
Zeros7
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-10T22:06:50.316628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q335.25
95-th percentile59.5
Maximum156
Range156
Interquartile range (IQR)34.25

Descriptive statistics

Standard deviation29.04793
Coefficient of variation (CV)1.3568035
Kurtosis9.8208626
Mean21.409091
Median Absolute Deviation (MAD)8
Skewness2.5753566
Sum942
Variance843.78224
MonotonicityNot monotonic
2024-05-10T22:06:50.794588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
2 8
18.2%
0 7
15.9%
1 6
13.6%
41 3
 
6.8%
19 2
 
4.5%
35 2
 
4.5%
43 1
 
2.3%
28 1
 
2.3%
3 1
 
2.3%
44 1
 
2.3%
Other values (12) 12
27.3%
ValueCountFrequency (%)
0 7
15.9%
1 6
13.6%
2 8
18.2%
3 1
 
2.3%
13 1
 
2.3%
19 2
 
4.5%
22 1
 
2.3%
24 1
 
2.3%
28 1
 
2.3%
29 1
 
2.3%
ValueCountFrequency (%)
156 1
 
2.3%
79 1
 
2.3%
61 1
 
2.3%
51 1
 
2.3%
44 1
 
2.3%
43 1
 
2.3%
41 3
6.8%
37 1
 
2.3%
36 1
 
2.3%
35 2
4.5%

신장
Real number (ℝ)

HIGH CORRELATION 

Distinct32
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.75
Minimum5
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-10T22:06:51.196693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6
Q111
median22
Q340
95-th percentile65
Maximum90
Range85
Interquartile range (IQR)29

Descriptive statistics

Standard deviation21.385852
Coefficient of variation (CV)0.74385571
Kurtosis0.32519632
Mean28.75
Median Absolute Deviation (MAD)12.5
Skewness0.97665813
Sum1265
Variance457.35465
MonotonicityNot monotonic
2024-05-10T22:06:51.581843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
11 3
 
6.8%
6 3
 
6.8%
12 2
 
4.5%
34 2
 
4.5%
65 2
 
4.5%
15 2
 
4.5%
36 2
 
4.5%
10 2
 
4.5%
22 2
 
4.5%
5 2
 
4.5%
Other values (22) 22
50.0%
ValueCountFrequency (%)
5 2
4.5%
6 3
6.8%
7 1
 
2.3%
9 1
 
2.3%
10 2
4.5%
11 3
6.8%
12 2
4.5%
13 1
 
2.3%
14 1
 
2.3%
15 2
4.5%
ValueCountFrequency (%)
90 1
2.3%
75 1
2.3%
65 2
4.5%
63 1
2.3%
59 1
2.3%
53 1
2.3%
48 1
2.3%
46 1
2.3%
44 1
2.3%
43 1
2.3%

심장
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size484.0 B
1
17 
0
14 
2
3
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row4
3rd row1
4th row2
5th row1

Common Values

ValueCountFrequency (%)
1 17
38.6%
0 14
31.8%
2 6
 
13.6%
3 4
 
9.1%
4 3
 
6.8%

Length

2024-05-10T22:06:51.979038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:06:52.308949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 17
38.6%
0 14
31.8%
2 6
 
13.6%
3 4
 
9.1%
4 3
 
6.8%

호흡기
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct10
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5909091
Minimum0
Maximum12
Zeros20
Zeros (%)45.5%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-10T22:06:52.664917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35.25
95-th percentile7
Maximum12
Range12
Interquartile range (IQR)5.25

Descriptive statistics

Standard deviation3.1646167
Coefficient of variation (CV)1.221431
Kurtosis0.455738
Mean2.5909091
Median Absolute Deviation (MAD)1
Skewness1.0819977
Sum114
Variance10.014799
MonotonicityNot monotonic
2024-05-10T22:06:53.125198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 20
45.5%
6 6
 
13.6%
2 4
 
9.1%
1 3
 
6.8%
7 3
 
6.8%
5 2
 
4.5%
4 2
 
4.5%
3 2
 
4.5%
12 1
 
2.3%
10 1
 
2.3%
ValueCountFrequency (%)
0 20
45.5%
1 3
 
6.8%
2 4
 
9.1%
3 2
 
4.5%
4 2
 
4.5%
5 2
 
4.5%
6 6
 
13.6%
7 3
 
6.8%
10 1
 
2.3%
12 1
 
2.3%
ValueCountFrequency (%)
12 1
 
2.3%
10 1
 
2.3%
7 3
 
6.8%
6 6
 
13.6%
5 2
 
4.5%
4 2
 
4.5%
3 2
 
4.5%
2 4
 
9.1%
1 3
 
6.8%
0 20
45.5%


Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct10
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1363636
Minimum0
Maximum15
Zeros14
Zeros (%)31.8%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-10T22:06:53.490110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile8.85
Maximum15
Range15
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.6763917
Coefficient of variation (CV)1.1721829
Kurtosis1.365544
Mean3.1363636
Median Absolute Deviation (MAD)1
Skewness1.2925185
Sum138
Variance13.515856
MonotonicityNot monotonic
2024-05-10T22:06:53.858055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 14
31.8%
1 10
22.7%
4 4
 
9.1%
7 4
 
9.1%
5 3
 
6.8%
8 3
 
6.8%
3 3
 
6.8%
15 1
 
2.3%
12 1
 
2.3%
9 1
 
2.3%
ValueCountFrequency (%)
0 14
31.8%
1 10
22.7%
3 3
 
6.8%
4 4
 
9.1%
5 3
 
6.8%
7 4
 
9.1%
8 3
 
6.8%
9 1
 
2.3%
12 1
 
2.3%
15 1
 
2.3%
ValueCountFrequency (%)
15 1
 
2.3%
12 1
 
2.3%
9 1
 
2.3%
8 3
 
6.8%
7 4
 
9.1%
5 3
 
6.8%
4 4
 
9.1%
3 3
 
6.8%
1 10
22.7%
0 14
31.8%

안면
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3863636
Minimum0
Maximum9
Zeros16
Zeros (%)36.4%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-10T22:06:54.222859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31.25
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.9073409
Coefficient of variation (CV)1.3757869
Kurtosis6.0999673
Mean1.3863636
Median Absolute Deviation (MAD)1
Skewness2.3003106
Sum61
Variance3.6379493
MonotonicityNot monotonic
2024-05-10T22:06:54.568454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 17
38.6%
0 16
36.4%
4 4
 
9.1%
2 3
 
6.8%
3 2
 
4.5%
9 1
 
2.3%
7 1
 
2.3%
ValueCountFrequency (%)
0 16
36.4%
1 17
38.6%
2 3
 
6.8%
3 2
 
4.5%
4 4
 
9.1%
7 1
 
2.3%
9 1
 
2.3%
ValueCountFrequency (%)
9 1
 
2.3%
7 1
 
2.3%
4 4
 
9.1%
3 2
 
4.5%
2 3
 
6.8%
1 17
38.6%
0 16
36.4%

장루_요루
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct10
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0454545
Minimum0
Maximum13
Zeros17
Zeros (%)38.6%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-10T22:06:54.904819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35.25
95-th percentile11.85
Maximum13
Range13
Interquartile range (IQR)5.25

Descriptive statistics

Standard deviation3.8455927
Coefficient of variation (CV)1.2627319
Kurtosis0.82182306
Mean3.0454545
Median Absolute Deviation (MAD)1
Skewness1.2925901
Sum134
Variance14.788584
MonotonicityNot monotonic
2024-05-10T22:06:55.233328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 17
38.6%
1 8
18.2%
7 5
 
11.4%
4 4
 
9.1%
3 3
 
6.8%
13 2
 
4.5%
6 2
 
4.5%
11 1
 
2.3%
5 1
 
2.3%
12 1
 
2.3%
ValueCountFrequency (%)
0 17
38.6%
1 8
18.2%
3 3
 
6.8%
4 4
 
9.1%
5 1
 
2.3%
6 2
 
4.5%
7 5
 
11.4%
11 1
 
2.3%
12 1
 
2.3%
13 2
 
4.5%
ValueCountFrequency (%)
13 2
 
4.5%
12 1
 
2.3%
11 1
 
2.3%
7 5
 
11.4%
6 2
 
4.5%
5 1
 
2.3%
4 4
 
9.1%
3 3
 
6.8%
1 8
18.2%
0 17
38.6%

뇌전증
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct8
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2
Minimum0
Maximum10
Zeros14
Zeros (%)31.8%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-10T22:06:55.526154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile5
Maximum10
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.1887662
Coefficient of variation (CV)1.0943831
Kurtosis2.9747882
Mean2
Median Absolute Deviation (MAD)1
Skewness1.5056076
Sum88
Variance4.7906977
MonotonicityNot monotonic
2024-05-10T22:06:55.880175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 14
31.8%
1 9
20.5%
3 8
18.2%
2 5
 
11.4%
5 4
 
9.1%
4 2
 
4.5%
7 1
 
2.3%
10 1
 
2.3%
ValueCountFrequency (%)
0 14
31.8%
1 9
20.5%
2 5
 
11.4%
3 8
18.2%
4 2
 
4.5%
5 4
 
9.1%
7 1
 
2.3%
10 1
 
2.3%
ValueCountFrequency (%)
10 1
 
2.3%
7 1
 
2.3%
5 4
 
9.1%
4 2
 
4.5%
3 8
18.2%
2 5
 
11.4%
1 9
20.5%
0 14
31.8%

Interactions

2024-05-10T22:06:36.651321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:05:50.031296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:05:53.645779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:05:57.262735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:06:00.880469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:06:04.415229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:06:08.378615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:06:12.299574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/