Overview

Dataset statistics

Number of variables76
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.8 KiB
Average record size in memory688.3 B

Variable types

Text1
Numeric61
Categorical14

Dataset

Description서울시 장애인 현황을 자치구별로 제공하는 일반ㆍ보고통계 입니다.
Author서울특별시
URLhttps://www.data.go.kr/data/15047058/fileData.do

Alerts

신장(6등급) has constant value ""Constant
심장(6등급) has constant value ""Constant
언어(5등급) is highly imbalanced (75.8%)Imbalance
언어(6등급) is highly imbalanced (75.8%)Imbalance
호흡기(4등급) is highly imbalanced (75.8%)Imbalance
유형(등급) has unique valuesUnique
뇌병변(1등급) has unique valuesUnique
뇌병변(4등급) has unique valuesUnique
시각(6등급) has unique valuesUnique
장루요루(4등급) has unique valuesUnique
지적(2등급) has unique valuesUnique
지체(1등급) has unique valuesUnique
지체(2등급) has unique valuesUnique
지체(4등급) has unique valuesUnique
지체(5등급) has unique valuesUnique
지체(6등급) has unique valuesUnique
청각(5등급) has unique valuesUnique
간(1등급) has 7 (28.0%) zerosZeros
간(2등급) has 4 (16.0%) zerosZeros
간(3등급) has 3 (12.0%) zerosZeros
간(4등급) has 5 (20.0%) zerosZeros
뇌전증(2등급) has 2 (8.0%) zerosZeros
안면(2등급) has 4 (16.0%) zerosZeros

Reproduction

Analysis started2023-12-12 21:16:46.619621
Analysis finished2023-12-12 21:16:47.205468
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

유형(등급)
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T06:16:47.341579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.08
Min length2

Characters and Unicode

Total characters77
Distinct characters36
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row종로구
2nd row중구
3rd row용산구
4th row성동구
5th row광진구
ValueCountFrequency (%)
종로구 1
 
4.0%
마포구 1
 
4.0%
송파구 1
 
4.0%
강남구 1
 
4.0%
서초구 1
 
4.0%
관악구 1
 
4.0%
동작구 1
 
4.0%
영등포구 1
 
4.0%
금천구 1
 
4.0%
구로구 1
 
4.0%
Other values (15) 15
60.0%
2023-12-13T06:16:47.705091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
33.8%
4
 
5.2%
4
 
5.2%
3
 
3.9%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
Other values (26) 28
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 77
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
26
33.8%
4
 
5.2%
4
 
5.2%
3
 
3.9%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
Other values (26) 28
36.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 77
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
26
33.8%
4
 
5.2%
4
 
5.2%
3
 
3.9%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
Other values (26) 28
36.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 77
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
26
33.8%
4
 
5.2%
4
 
5.2%
3
 
3.9%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
Other values (26) 28
36.4%

간(1등급)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2
Minimum0
Maximum6
Zeros7
Zeros (%)28.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:16:47.838081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q33
95-th percentile5.8
Maximum6
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.8027756
Coefficient of variation (CV)0.90138782
Kurtosis0.26391
Mean2
Median Absolute Deviation (MAD)1
Skewness0.83483307
Sum50
Variance3.25
MonotonicityNot monotonic
2023-12-13T06:16:47.946425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 9
36.0%
0 7
28.0%
3 3
 
12.0%
6 2
 
8.0%
1 2
 
8.0%
5 1
 
4.0%
4 1
 
4.0%
ValueCountFrequency (%)
0 7
28.0%
1 2
 
8.0%
2 9
36.0%
3 3
 
12.0%
4 1
 
4.0%
5 1
 
4.0%
6 2
 
8.0%
ValueCountFrequency (%)
6 2
 
8.0%
5 1
 
4.0%
4 1
 
4.0%
3 3
 
12.0%
2 9
36.0%
1 2
 
8.0%
0 7
28.0%

간(2등급)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4
Minimum0
Maximum8
Zeros4
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:16:48.051980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5.8
Maximum8
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.979057
Coefficient of variation (CV)0.82460709
Kurtosis1.3628688
Mean2.4
Median Absolute Deviation (MAD)1
Skewness1.0727504
Sum60
Variance3.9166667
MonotonicityNot monotonic
2023-12-13T06:16:48.180342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 6
24.0%
1 5
20.0%
0 4
16.0%
3 4
16.0%
4 3
12.0%
6 1
 
4.0%
8 1
 
4.0%
5 1
 
4.0%
ValueCountFrequency (%)
0 4
16.0%
1 5
20.0%
2 6
24.0%
3 4
16.0%
4 3
12.0%
5 1
 
4.0%
6 1
 
4.0%
8 1
 
4.0%
ValueCountFrequency (%)
8 1
 
4.0%
6 1
 
4.0%
5 1
 
4.0%
4 3
12.0%
3 4
16.0%
2 6
24.0%
1 5
20.0%
0 4
16.0%

간(3등급)
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.72
Minimum0
Maximum9
Zeros3
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:16:48.642964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q36
95-th percentile7.8
Maximum9
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.6223399
Coefficient of variation (CV)0.70493009
Kurtosis-0.92276511
Mean3.72
Median Absolute Deviation (MAD)2
Skewness0.13607934
Sum93
Variance6.8766667
MonotonicityNot monotonic
2023-12-13T06:16:48.747849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 5
20.0%
4 5
20.0%
6 4
16.0%
0 3
12.0%
5 3
12.0%
9 1
 
4.0%
7 1
 
4.0%
3 1
 
4.0%
8 1
 
4.0%
2 1
 
4.0%
ValueCountFrequency (%)
0 3
12.0%
1 5
20.0%
2 1
 
4.0%
3 1
 
4.0%
4 5
20.0%
5 3
12.0%
6 4
16.0%
7 1
 
4.0%
8 1
 
4.0%
9 1
 
4.0%
ValueCountFrequency (%)
9 1
 
4.0%
8 1
 
4.0%
7 1
 
4.0%
6 4
16.0%
5 3
12.0%
4 5
20.0%
3 1
 
4.0%
2 1
 
4.0%
1 5
20.0%
0 3
12.0%

간(4등급)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.44
Minimum0
Maximum6
Zeros5
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:16:48.865469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile5.8
Maximum6
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.9382122
Coefficient of variation (CV)0.79434928
Kurtosis-0.92345262
Mean2.44
Median Absolute Deviation (MAD)1
Skewness0.39721022
Sum61
Variance3.7566667
MonotonicityNot monotonic
2023-12-13T06:16:48.962775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 5
20.0%
2 5
20.0%
3 4
16.0%
1 4
16.0%
5 3
12.0%
4 2
 
8.0%
6 2
 
8.0%
ValueCountFrequency (%)
0 5
20.0%
1 4
16.0%
2 5
20.0%
3 4
16.0%
4 2
 
8.0%
5 3
12.0%
6 2
 
8.0%
ValueCountFrequency (%)
6 2
 
8.0%
5 3
12.0%
4 2
 
8.0%
3 4
16.0%
2 5
20.0%
1 4
16.0%
0 5
20.0%

간(5등급)
Real number (ℝ)

Distinct22
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.48
Minimum27
Maximum166
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:16:49.081823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile35.4
Q174
median83
Q3110
95-th percentile127.2
Maximum166
Range139
Interquartile range (IQR)36

Descriptive statistics

Standard deviation31.020316
Coefficient of variation (CV)0.3628956
Kurtosis0.82281929
Mean85.48
Median Absolute Deviation (MAD)18
Skewness0.37079833
Sum2137
Variance962.26
MonotonicityNot monotonic
2023-12-13T06:16:49.189535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
76 3
 
12.0%
83 2
 
8.0%
34 1
 
4.0%
82 1
 
4.0%
101 1
 
4.0%
166 1
 
4.0%
129 1
 
4.0%
111 1
 
4.0%
85 1
 
4.0%
41 1
 
4.0%
Other values (12) 12
48.0%
ValueCountFrequency (%)
27 1
 
4.0%
34 1
 
4.0%
41 1
 
4.0%
53 1
 
4.0%
62 1
 
4.0%
69 1
 
4.0%
74 1
 
4.0%
76 3
12.0%
77 1
 
4.0%
82 1
 
4.0%
ValueCountFrequency (%)
166 1
4.0%
129 1
4.0%
120 1
4.0%
115 1
4.0%
112 1
4.0%
111 1
4.0%
110 1
4.0%
101 1
4.0%
91 1
4.0%
85 1
4.0%

뇌병변(1등급)
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean383.8
Minimum112
Maximum780
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:16:49.327941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum112
5-th percentile139.6
Q1313
median388
Q3436
95-th percentile646.2
Maximum780
Range668
Interquartile range (IQR)123

Descriptive statistics

Standard deviation152.86677
Coefficient of variation (CV)0.398298
Kurtosis1.0256532
Mean383.8
Median Absolute Deviation (MAD)65
Skewness0.54323758
Sum9595
Variance23368.25
MonotonicityNot monotonic
2023-12-13T06:16:49.474544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
112 1
 
4.0%
122 1
 
4.0%
472 1
 
4.0%
544 1
 
4.0%
431 1
 
4.0%
357 1
 
4.0%
441 1
 
4.0%
347 1
 
4.0%
323 1
 
4.0%
225 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
112 1
4.0%
122 1
4.0%
210 1
4.0%
225 1
4.0%
240 1
4.0%
255 1
4.0%
313 1
4.0%
323 1
4.0%
347 1
4.0%
351 1
4.0%
ValueCountFrequency (%)
780 1
4.0%
668 1
4.0%
559 1
4.0%
544 1
4.0%
472 1
4.0%
441 1
4.0%
436 1
4.0%
435 1
4.0%
431 1
4.0%
412 1
4.0%

뇌병변(2등급)
Real number (ℝ)

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean328.32
Minimum117
Maximum679
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:16:49.617107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum117
5-th percentile123.2
Q1263
median322
Q3366
95-th percentile626
Maximum679
Range562
Interquartile range (IQR)103

Descriptive statistics

Standard deviation136.49656
Coefficient of variation (CV)0.41574244
Kurtosis1.9488438
Mean328.32
Median Absolute Deviation (MAD)59
Skewness1.0050767
Sum8208
Variance18631.31
MonotonicityNot monotonic
2023-12-13T06:16:49.760717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
273 2
 
8.0%
117 1
 
4.0%
354 1
 
4.0%
407 1
 
4.0%
384 1
 
4.0%
364 1
 
4.0%
322 1
 
4.0%
268 1
 
4.0%
196 1
 
4.0%
306 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
117 1
4.0%
120 1
4.0%
136 1
4.0%
196 1
4.0%
242 1
4.0%
249 1
4.0%
263 1
4.0%
268 1
4.0%
273 2
8.0%
306 1
4.0%
ValueCountFrequency (%)
679 1
4.0%
670 1
4.0%
450 1
4.0%
418 1
4.0%
407 1
4.0%
384 1
4.0%
366 1
4.0%
364 1
4.0%
354 1
4.0%
352 1
4.0%

뇌병변(3등급)
Real number (ℝ)

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean350.64
Minimum99
Maximum676
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:16:49.898003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99
5-th percentile136
Q1264
median364
Q3399
95-th percentile614.8
Maximum676
Range577
Interquartile range (IQR)135

Descriptive statistics

Standard deviation137.37566
Coefficient of variation (CV)0.39178549
Kurtosis0.85305646
Mean350.64
Median Absolute Deviation (MAD)83
Skewness0.49147467
Sum8766
Variance18872.073
MonotonicityNot monotonic
2023-12-13T06:16:50.008400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
299 2
 
8.0%
130 1
 
4.0%
369 1
 
4.0%
447 1
 
4.0%
364 1
 
4.0%
238 1
 
4.0%
460 1
 
4.0%
317 1
 
4.0%
220 1
 
4.0%
365 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
99 1
4.0%
130 1
4.0%
160 1
4.0%
220 1
4.0%
238 1
4.0%
258 1
4.0%
264 1
4.0%
299 2
8.0%
306 1
4.0%
317 1
4.0%
ValueCountFrequency (%)
676 1
4.0%
653 1
4.0%
462 1
4.0%
460 1
4.0%
459 1
4.0%
447 1
4.0%
399 1
4.0%
395 1
4.0%
387 1
4.0%
386 1
4.0%

뇌병변(4등급)
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean207.84
Minimum64
Maximum364
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:16:50.132548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum64
5-th percentile80
Q1166
median206
Q3263
95-th percentile305.4
Maximum364
Range300
Interquartile range (IQR)97

Descriptive statistics

Standard deviation71.221298
Coefficient of variation (CV)0.34267368
Kurtosis0.1530161
Mean207.84
Median Absolute Deviation (MAD)44
Skewness-0.15109404
Sum5196
Variance5072.4733
MonotonicityNot monotonic
2023-12-13T06:16:50.259715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
75 1
 
4.0%
64 1
 
4.0%
264 1
 
4.0%
244 1
 
4.0%
190 1
 
4.0%
136 1
 
4.0%
270 1
 
4.0%
204 1
 
4.0%
206 1
 
4.0%
143 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
64 1
4.0%
75 1
4.0%
100 1
4.0%
136 1
4.0%
143 1
4.0%
162 1
4.0%
166 1
4.0%
186 1
4.0%
190 1
4.0%
191 1
4.0%
ValueCountFrequency (%)
364 1
4.0%
311 1
4.0%
283 1
4.0%
270 1
4.0%
266 1
4.0%
264 1
4.0%
263 1
4.0%
244 1
4.0%
236 1
4.0%
232 1
4.0%

뇌병변(5등급)
Real number (ℝ)

Distinct23
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203.24
Minimum71
Maximum311
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:16:50.398557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum71
5-th percentile86
Q1171
median206
Q3255
95-th percentile290.8
Maximum311
Range240
Interquartile range (IQR)84

Descriptive statistics

Standard deviation62.239644
Coefficient of variation (CV)0.30623718
Kurtosis-0.13195533
Mean203.24
Median Absolute Deviation (MAD)40
Skewness-0.42601613
Sum5081
Variance3873.7733
MonotonicityNot monotonic
2023-12-13T06:16:50.527272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
171 2
 
8.0%
189 2
 
8.0%
71 1
 
4.0%
236 1
 
4.0%
256 1
 
4.0%
268 1
 
4.0%
205 1
 
4.0%
160 1
 
4.0%
270 1
 
4.0%
191 1
 
4.0%
Other values (13) 13
52.0%
ValueCountFrequency (%)
71 1
4.0%
79 1
4.0%
114 1
4.0%
132 1
4.0%
160 1
4.0%
166 1
4.0%
171 2
8.0%
189 2
8.0%
191 1
4.0%
205 1
4.0%
ValueCountFrequency (%)
311 1
4.0%
296 1
4.0%
270 1
4.0%
268 1
4.0%
265 1
4.0%
256 1
4.0%
255 1
4.0%
243 1
4.0%
236 1
4.0%
218 1
4.0%

뇌병변(6등급)
Real number (ℝ)

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202.76
Minimum72
Maximum327
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:16:50.669838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72
5-th percentile85.4
Q1166
median206
Q3234
95-th percentile279.8
Maximum327
Range255
Interquartile range (IQR)68

Descriptive statistics

Standard deviation61.240836
Coefficient of variation (CV)0.30203608
Kurtosis0.25825432
Mean202.76
Median Absolute Deviation (MAD)40
Skewness-0.33650028
Sum5069
Variance3750.44
MonotonicityNot monotonic
2023-12-13T06:16:50.800351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
206 2
 
8.0%
72 1
 
4.0%
182 1
 
4.0%
215 1
 
4.0%
271 1
 
4.0%
179 1
 
4.0%
166 1
 
4.0%
265 1
 
4.0%
197 1
 
4.0%
158 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
72 1
4.0%
79 1
4.0%
111 1
4.0%
152 1
4.0%
158 1
4.0%
162 1
4.0%
166 1
4.0%
179 1
4.0%
182 1
4.0%
197 1
4.0%
ValueCountFrequency (%)
327 1
4.0%
280 1
4.0%
279 1
4.0%
271 1
4.0%
265 1
4.0%
252 1
4.0%
234 1
4.0%
227 1
4.0%
221 1
4.0%
220 1
4.0%
Distinct5
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
10 
1
2
3
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 10
40.0%
1 8
32.0%
2 3
 
12.0%
3 3
 
12.0%
4 1
 
4.0%

Length

2023-12-13T06:16:50.934463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:16:51.027405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10
40.0%
1 8
32.0%
2 3
 
12.0%
3 3
 
12.0%
4 1
 
4.0%

뇌전증(2등급)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.76
Minimum0
Maximum7
Zeros2
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:16:51.135527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q12
median2
Q34
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8092356
Coefficient of variation (CV)0.65552013
Kurtosis0.20025415
Mean2.76
Median Absolute Deviation (MAD)1
Skewness0.75639825
Sum69
Variance3.2733333
MonotonicityNot monotonic
2023-12-13T06:16:51.234234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 9
36.0%
3 4
16.0%
1 3
 
12.0%
4 3
 
12.0%
0 2
 
8.0%
6 2
 
8.0%
5 1
 
4.0%
7 1
 
4.0%
ValueCountFrequency (%)
0 2
 
8.0%
1 3
 
12.0%
2 9
36.0%
3 4
16.0%
4 3
 
12.0%
5 1
 
4.0%
6 2
 
8.0%
7 1
 
4.0%
ValueCountFrequency (%)
7 1
 
4.0%
6 2
 
8.0%
5 1
 
4.0%
4 3
 
12.0%
3 4
16.0%
2 9
36.0%
1 3
 
12.0%
0 2
 
8.0%

뇌전증(3등급)
Real number (ℝ)

Distinct14
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.4
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:16:51.365843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.4
Q16
median7
Q312
95-th percentile20.8
Maximum26
Range25
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.4226163
Coefficient of variation (CV)0.68325705
Kurtosis0.71522788
Mean9.4
Median Absolute Deviation (MAD)3
Skewness1.1163613
Sum235
Variance41.25
MonotonicityNot monotonic
2023-12-13T06:16:51.490455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
7 5
20.0%
8 3
12.0%
1 2
 
8.0%
10 2
 
8.0%
4 2
 
8.0%
12 2
 
8.0%
6 2
 
8.0%
5 1
 
4.0%
26 1
 
4.0%
21 1
 
4.0%
Other values (4) 4
16.0%
ValueCountFrequency (%)
1 2
 
8.0%
3 1
 
4.0%
4 2
 
8.0%
5 1
 
4.0%
6 2
 
8.0%
7 5
20.0%
8 3
12.0%
10 2
 
8.0%
12 2
 
8.0%
16 1
 
4.0%
ValueCountFrequency (%)
26 1
 
4.0%
21 1
 
4.0%
20 1
 
4.0%
19 1
 
4.0%
16 1
 
4.0%
12 2
 
8.0%
10 2
 
8.0%
8 3
12.0%
7 5
20.0%
6 2
 
8.0%

뇌전증(4등급)
Real number (ℝ)

Distinct19
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.8
Minimum9
Maximum69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:16:51.584323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile11.2
Q116
median27
Q331
95-th percentile62
Maximum69
Range60
Interquartile range (IQR)15

Descriptive statistics

Standard deviation15.072049
Coefficient of variation (CV)0.54216004
Kurtosis2.3276074
Mean27.8
Median Absolute Deviation (MAD)7
Skewness1.4268763
Sum695
Variance227.16667
MonotonicityNot monotonic
2023-12-13T06:16:51.681973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
31 3
 
12.0%
20 2
 
8.0%
27 2
 
8.0%
16 2
 
8.0%
23 2
 
8.0%
9 1
 
4.0%
14 1
 
4.0%
29 1
 
4.0%
32 1
 
4.0%
11 1
 
4.0%
Other values (9) 9
36.0%
ValueCountFrequency (%)
9 1
4.0%
11 1
4.0%
12 1
4.0%
13 1
4.0%
14 1
4.0%
16 2
8.0%
20 2
8.0%
23 2
8.0%
26 1
4.0%
27 2
8.0%
ValueCountFrequency (%)
69 1
 
4.0%
66 1
 
4.0%
46 1
 
4.0%
39 1
 
4.0%
34 1
 
4.0%
32 1
 
4.0%
31 3
12.0%
30 1
 
4.0%
29 1
 
4.0%
27 2
8.0%

뇌전증(5등급)
Real number (ℝ)

Distinct13
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.2
Minimum3
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:16:51.785953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q16
median9
Q310
95-th percentile17.4
Maximum21
Range18
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.5184806
Coefficient of variation (CV)0.49113919
Kurtosis0.77610903
Mean9.2
Median Absolute Deviation (MAD)2
Skewness0.96557024
Sum230
Variance20.416667
MonotonicityNot monotonic
2023-12-13T06:16:51.886246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
9 5
20.0%
4 3
12.0%
10 3
12.0%
5 2
 
8.0%
7 2
 
8.0%
15 2
 
8.0%
8 2
 
8.0%
21 1
 
4.0%
14 1
 
4.0%
18 1
 
4.0%
Other values (3) 3
12.0%
ValueCountFrequency (%)
3 1
 
4.0%
4 3
12.0%
5 2
 
8.0%
6 1
 
4.0%
7 2
 
8.0%
8 2
 
8.0%
9 5
20.0%
10 3
12.0%
11 1
 
4.0%
14 1
 
4.0%
ValueCountFrequency (%)
21 1
 
4.0%
18 1
 
4.0%
15 2
 
8.0%
14 1
 
4.0%
11 1
 
4.0%
10 3
12.0%
9 5
20.0%
8 2
 
8.0%
7 2
 
8.0%
6 1
 
4.0%

시각(1등급)
Real number (ℝ)

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean256.68
Minimum129
Maximum542
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:16:51.986246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129
5-th percentile141.8
Q1176
median236
Q3283
95-th percentile511
Maximum542
Range413
Interquartile range (IQR)107

Descriptive statistics

Standard deviation109.53984
Coefficient of variation (CV)0.42675643
Kurtosis2.0179353
Mean256.68
Median Absolute Deviation (MAD)60
Skewness1.4230023
Sum6417
Variance11998.977
MonotonicityNot monotonic
2023-12-13T06:16:52.104735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
542 2
 
8.0%
163 1
 
4.0%
236 1
 
4.0%
224 1
 
4.0%
263 1
 
4.0%
324 1
 
4.0%
216 1
 
4.0%
359 1
 
4.0%
283 1
 
4.0%
195 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
129 1
4.0%
139 1
4.0%
153 1
4.0%
155 1
4.0%
159 1
4.0%
163 1
4.0%
176 1
4.0%
188 1
4.0%
195 1
4.0%
215 1
4.0%
ValueCountFrequency (%)
542 2
8.0%
387 1
4.0%
359 1
4.0%
324 1
4.0%
307 1
4.0%
283 1
4.0%
271 1
4.0%
270 1
4.0%
264 1
4.0%
263 1
4.0%

시각(2등급)
Real number (ℝ)

Distinct21
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.92
Minimum16
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:16:52.202035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile16.2
Q129
median38
Q351
95-th percentile75.4
Maximum85
Range69
Interquartile range (IQR)22

Descriptive statistics

Standard deviation17.965059
Coefficient of variation (CV)0.4390288
Kurtosis0.49140964
Mean40.92
Median Absolute Deviation (MAD)11
Skewness0.82230337
Sum1023
Variance322.74333
MonotonicityNot monotonic
2023-12-13T06:16:52.308330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
39 3
 
12.0%
16 2
 
8.0%
58 2
 
8.0%
79 1
 
4.0%
34 1
 
4.0%
36 1
 
4.0%
25 1
 
4.0%
61 1
 
4.0%
38 1
 
4.0%
31 1
 
4.0%
Other values (11) 11
44.0%
ValueCountFrequency (%)
16 2
8.0%
17 1
4.0%
24 1
4.0%
25 1
4.0%
28 1
4.0%
29 1
4.0%
31 1
4.0%
33 1
4.0%
34 1
4.0%
36 1
4.0%
ValueCountFrequency (%)
85 1
 
4.0%
79 1
 
4.0%
61 1
 
4.0%
58 2
8.0%
57 1
 
4.0%
51 1
 
4.0%
49 1
 
4.0%
44 1
 
4.0%
39 3
12.0%
38 1
 
4.0%

시각(3등급)
Real number (ℝ)

Distinct21
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.6
Minimum26
Maximum124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:16:52.454708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile33.4
Q160
median66
Q387
95-th percentile116.4
Maximum124
Range98
Interquartile range (IQR)27

Descriptive statistics

Standard deviation24.715043
Coefficient of variation (CV)0.34042758
Kurtosis-0.095483639
Mean72.6
Median Absolute Deviation (MAD)15
Skewness0.24095635
Sum1815
Variance610.83333
MonotonicityNot monotonic
2023-12-13T06:16:52.568983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
66 3
 
12.0%
87 2
 
8.0%
60 2
 
8.0%
26 1
 
4.0%
90 1
 
4.0%
95 1
 
4.0%
100 1
 
4.0%
51 1
 
4.0%
78 1
 
4.0%
124 1
 
4.0%
Other values (11) 11
44.0%
ValueCountFrequency (%)
26 1
 
4.0%
32 1
 
4.0%
39 1
 
4.0%
50 1
 
4.0%
51 1
 
4.0%
59 1
 
4.0%
60 2
8.0%
64 1
 
4.0%
65 1
 
4.0%
66 3
12.0%
ValueCountFrequency (%)
124 1
4.0%
119 1
4.0%
106 1
4.0%
100 1
4.0%
95 1
4.0%
90 1
4.0%
87 2
8.0%
79 1
4.0%
78 1
4.0%
76 1
4.0%

시각(4등급)
Real number (ℝ)

Distinct19
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.44
Minimum35
Maximum160
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:16:52.676549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile39
Q168
median90
Q397
95-th percentile131.4
Maximum160
Range125
Interquartile range (IQR)29

Descriptive statistics

Standard deviation28.535183
Coefficient of variation (CV)0.3339792
Kurtosis0.96397985
Mean85.44
Median Absolute Deviation (MAD)16
Skewness0.4614275
Sum2136
Variance814.25667
MonotonicityNot monotonic
2023-12-13T06:16:52.790671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
92 3
 
12.0%
57 2
 
8.0%
90 2
 
8.0%
97 2
 
8.0%
74 2
 
8.0%
35 1
 
4.0%
113 1
 
4.0%
86 1
 
4.0%
117 1
 
4.0%
99 1
 
4.0%
Other values (9) 9
36.0%
ValueCountFrequency (%)
35 1
4.0%
36 1
4.0%
51 1
4.0%
57 2
8.0%
61 1
4.0%
68 1
4.0%
74 2
8.0%
77 1
4.0%
86 1
4.0%
90 2
8.0%
ValueCountFrequency (%)
160 1
 
4.0%
135 1
 
4.0%
117 1
 
4.0%
113 1
 
4.0%
99 1
 
4.0%
97 2
8.0%
95 1
 
4.0%
92 3
12.0%
91 1
 
4.0%
90 2
8.0%

시각(5등급)
Real number (ℝ)

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean131.56
Minimum48
Maximum231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:16:52.906237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48
5-th percentile69
Q1111
median129
Q3155
95-th percentile203.4
Maximum231
Range183
Interquartile range (IQR)44

Descriptive statistics

Standard deviation41.766294
Coefficient of variation (CV)0.31746955
Kurtosis0.52990683
Mean131.56
Median Absolute Deviation (MAD)26
Skewness0.36152421
Sum3289
Variance1744.4233
MonotonicityNot monotonic
2023-12-13T06:16:53.024617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
111 2
 
8.0%
64 1
 
4.0%
137 1
 
4.0%
145 1
 
4.0%
168 1
 
4.0%
123 1
 
4.0%
94 1
 
4.0%
172 1
 
4.0%
126 1
 
4.0%
132 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
48 1
4.0%
64 1
4.0%
89 1
4.0%
90 1
4.0%
94 1
4.0%
103 1
4.0%
111 2
8.0%
113 1
4.0%
118 1
4.0%
123 1
4.0%
ValueCountFrequency (%)
231 1
4.0%
209 1
4.0%
181 1
4.0%
172 1
4.0%
168 1
4.0%
161 1
4.0%
155 1
4.0%
145 1
4.0%
143 1
4.0%
137 1
4.0%

시각(6등급)
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1088.52
Minimum418
Maximum1772
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:16:53.147916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum418
5-th percentile489.8
Q1886
median1062
Q31267
95-th percentile1642.4
Maximum1772
Range1354
Interquartile range (IQR)381

Descriptive statistics

Standard deviation349.52243
Coefficient of variation (CV)0.32109876
Kurtosis-0.32528703
Mean1088.52
Median Absolute Deviation (MAD)205
Skewness0.02331884
Sum27213
Variance122165.93
MonotonicityNot monotonic
2023-12-13T06:16:53.279060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
418 1
 
4.0%
449 1
 
4.0%
1224 1
 
4.0%
1372 1
 
4.0%
886 1
 
4.0%
755 1
 
4.0%
1481 1
 
4.0%
1004 1
 
4.0%
1062 1
 
4.0%
825 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
418 1
4.0%
449 1
4.0%
653 1
4.0%
755 1
4.0%
824 1
4.0%
825 1
4.0%
886 1
4.0%
898 1
4.0%
902 1
4.0%
971 1
4.0%
ValueCountFrequency (%)
1772 1
4.0%
1657 1
4.0%
1584 1
4.0%
1481 1
4.0%
1429 1
4.0%
1372 1
4.0%
1267 1
4.0%
1263 1
4.0%
1254 1
4.0%
1224 1
4.0%

신장(1등급)
Real number (ℝ)

Distinct18
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.16
Minimum10
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:16:53.389566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile14.8
Q128
median36
Q343
95-th percentile66
Maximum100
Range90
Interquartile range (IQR)15

Descriptive statistics

Standard deviation18.406702
Coefficient of variation (CV)0.48235591
Kurtosis4.4660268
Mean38.16
Median Absolute Deviation (MAD)8
Skewness1.6131474
Sum954
Variance338.80667
MonotonicityNot monotonic
2023-12-13T06:16:53.481140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
28 3
 
12.0%
43 2
 
8.0%
34 2
 
8.0%
38 2
 
8.0%
29 2
 
8.0%
36 2
 
8.0%
14 1
 
4.0%
41 1
 
4.0%
52 1
 
4.0%
49 1
 
4.0%
Other values (8) 8
32.0%
ValueCountFrequency (%)
10 1
 
4.0%
14 1
 
4.0%
18 1
 
4.0%
23 1
 
4.0%
28 3
12.0%
29 2
8.0%
30 1
 
4.0%
34 2
8.0%
36 2
8.0%
38 2
8.0%
ValueCountFrequency (%)
100 1
4.0%
69 1
4.0%
54 1
4.0%
52 1
4.0%
50 1
4.0%
49 1
4.0%
43 2
8.0%
41 1
4.0%
38 2
8.0%
36 2
8.0%

신장(2등급)
Real number (ℝ)

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean464.4
Minimum160
Maximum882
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:16:53.577532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum160
5-th percentile180.6
Q1408
median449
Q3535
95-th percentile737.8
Maximum882
Range722
Interquartile range (IQR)127

Descriptive statistics

Standard deviation164.84816
Coefficient of variation (CV)0.3549702
Kurtosis0.94097107
Mean464.4
Median Absolute Deviation (MAD)86
Skewness0.39698017
Sum11610
Variance27174.917
MonotonicityNot monotonic
2023-12-13T06:16:53.704049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
414 2
 
8.0%
457 1
 
4.0%
515 1
 
4.0%
611 1
 
4.0%
493 1
 
4.0%
341 1
 
4.0%
669 1
 
4.0%
435 1
 
4.0%
442 1
 
4.0%
334 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
160 1
4.0%
165 1
4.0%
243 1
4.0%
324 1
4.0%
334 1
4.0%
341 1
4.0%
408 1
4.0%
414 2
8.0%
426 1
4.0%
435 1
4.0%
ValueCountFrequency (%)
882 1
4.0%
755 1
4.0%
669 1
4.0%
611 1
4.0%
595 1
4.0%
550 1
4.0%
535 1
4.0%
515 1
4.0%
513 1
4.0%
493 1
4.0%

신장(3등급)
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
18 
1
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 row1

Common Values

ValueCountFrequency (%)
0 18
72.0%
1 5
 
20.0%
2 2
 
8.0%

Length

2023-12-13T06:16:53.839820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:16:53.967656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 18
72.0%
1 5
 
20.0%
2 2
 
8.0%

신장(4등급)
Real number (ℝ)

Distinct11
Distinct (%)44.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.6
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:16:54.050499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q13
median5
Q37
95-th percentile10.6
Maximum15
Range14
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.1358146
Coefficient of variation (CV)0.5599669
Kurtosis2.0165938
Mean5.6
Median Absolute Deviation (MAD)2
Skewness1.1967428
Sum140
Variance9.8333333
MonotonicityNot monotonic
2023-12-13T06:16:54.156301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
3 6
24.0%
8 3
12.0%
5 3
12.0%
4 3
12.0%
7 3
12.0%
6 2
 
8.0%
2 1
 
4.0%
11 1
 
4.0%
15 1
 
4.0%
1 1
 
4.0%
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
3 6
24.0%
4 3
12.0%
5 3
12.0%
6 2
 
8.0%
7 3
12.0%
8 3
12.0%
9 1
 
4.0%
11 1
 
4.0%
ValueCountFrequency (%)
15 1
 
4.0%
11 1
 
4.0%
9 1
 
4.0%
8 3
12.0%
7 3
12.0%
6 2
 
8.0%
5 3
12.0%
4 3
12.0%
3 6
24.0%
2 1
 
4.0%

신장(5등급)
Real number (ℝ)

Distinct23
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152.88
Minimum45
Maximum277
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:16:54.295515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45
5-th percentile58
Q1127
median146
Q3178
95-th percentile259
Maximum277
Range232
Interquartile range (IQR)51

Descriptive statistics

Standard deviation58.908347
Coefficient of variation (CV)0.38532409
Kurtosis0.11319105
Mean152.88
Median Absolute Deviation (MAD)26
Skewness0.28863346
Sum3822
Variance3470.1933
MonotonicityNot monotonic
2023-12-13T06:16:54.432768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
146 2
 
8.0%
136 2
 
8.0%
54 1
 
4.0%
164 1
 
4.0%
178 1
 
4.0%
277 1
 
4.0%
251 1
 
4.0%
171 1
 
4.0%
185 1
 
4.0%
167 1
 
4.0%
Other values (13) 13
52.0%
ValueCountFrequency (%)
45 1
4.0%
54 1
4.0%
74 1
4.0%
81 1
4.0%
109 1
4.0%
120 1
4.0%
127 1
4.0%
129 1
4.0%
136 2
8.0%
137 1
4.0%
ValueCountFrequency (%)
277 1
4.0%
261 1
4.0%
251 1
4.0%
220 1
4.0%
194 1
4.0%
185 1
4.0%
178 1
4.0%
171 1
4.0%
167 1
4.0%
164 1
4.0%

신장(6등급)
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
25 

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 25
100.0%

Length

2023-12-13T06:16:54.586415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:16:54.693085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
100.0%

심장(1등급)
Categorical

Distinct4
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
16 
1
2
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 16
64.0%
1 5
 
20.0%
2 2
 
8.0%
3 2
 
8.0%

Length

2023-12-13T06:16:54.794143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:16:54.890140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 16
64.0%
1 5
 
20.0%
2 2
 
8.0%
3 2
 
8.0%

심장(2등급)
Real number (ℝ)

Distinct11
Distinct (%)44.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.32
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:16:54.993532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q37
95-th percentile12.4
Maximum15
Range14
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.4727511
Coefficient of variation (CV)0.65277276
Kurtosis1.6809966
Mean5.32
Median Absolute Deviation (MAD)1
Skewness1.3942484
Sum133
Variance12.06
MonotonicityNot monotonic
2023-12-13T06:16:55.103488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
4 7
28.0%
3 4
16.0%
2 3
12.0%
7 3
12.0%
5 2
 
8.0%
1 1
 
4.0%
8 1
 
4.0%
13 1
 
4.0%
9 1
 
4.0%
15 1
 
4.0%
ValueCountFrequency (%)
1 1
 
4.0%
2 3
12.0%
3 4
16.0%
4 7
28.0%
5 2
 
8.0%
7 3
12.0%
8 1
 
4.0%
9 1
 
4.0%
10 1
 
4.0%
13 1
 
4.0%
ValueCountFrequency (%)
15 1
 
4.0%
13 1
 
4.0%
10 1
 
4.0%
9 1
 
4.0%
8 1
 
4.0%
7 3
12.0%
5 2
 
8.0%
4 7
28.0%
3 4
16.0%
2 3
12.0%

심장(3등급)
Real number (ℝ)

Distinct18
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.68
Minimum10
Maximum79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:16:55.615249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile11
Q119
median29
Q336
95-th percentile46.8
Maximum79
Range69
Interquartile range (IQR)17

Descriptive statistics

Standard deviation14.258682
Coefficient of variation (CV)0.4804138
Kurtosis5.0009932
Mean29.68
Median Absolute Deviation (MAD)8
Skewness1.6646414
Sum742
Variance203.31
MonotonicityNot monotonic
2023-12-13T06:16:55.737907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
19 3
 
12.0%
10 2
 
8.0%
29 2
 
8.0%
24 2
 
8.0%
32 2
 
8.0%
25 2
 
8.0%
36 1
 
4.0%
33 1
 
4.0%
37 1
 
4.0%
41 1
 
4.0%
Other values (8) 8
32.0%
ValueCountFrequency (%)
10 2
8.0%
15 1
 
4.0%
17 1
 
4.0%
19 3
12.0%
24 2
8.0%
25 2
8.0%
27 1
 
4.0%
29 2
8.0%
30 1
 
4.0%
32 2
8.0%
ValueCountFrequency (%)
79 1
4.0%
48 1
4.0%
42 1
4.0%
41 1
4.0%
40 1
4.0%
37 1
4.0%
36 1
4.0%
33 1
4.0%
32 2
8.0%
30 1
4.0%

심장(4등급)
Categorical

Distinct4
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
15 
1
2
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 15
60.0%
1 7
28.0%
2 2
 
8.0%
3 1
 
4.0%

Length

2023-12-13T06:16:55.899902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:16:56.018788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 15
60.0%
1 7
28.0%
2 2
 
8.0%
3 1
 
4.0%

심장(5등급)
Real number (ℝ)

Distinct14
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.68
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:16:56.112763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q16
median8
Q311
95-th percentile13.6
Maximum15
Range14
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.6596903
Coefficient of variation (CV)0.47652218
Kurtosis-0.5498618
Mean7.68
Median Absolute Deviation (MAD)3
Skewness0.10108613
Sum192
Variance13.393333
MonotonicityNot monotonic
2023-12-13T06:16:56.244071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
6 5
20.0%
11 4
16.0%
8 3
12.0%
3 2
 
8.0%
9 2
 
8.0%
1 1
 
4.0%
2 1
 
4.0%
5 1
 
4.0%
7 1
 
4.0%
10 1
 
4.0%
Other values (4) 4
16.0%
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
3 2
 
8.0%
4 1
 
4.0%
5 1
 
4.0%
6 5
20.0%
7 1
 
4.0%
8 3
12.0%
9 2
 
8.0%
10 1
 
4.0%
ValueCountFrequency (%)
15 1
 
4.0%
14 1
 
4.0%
12 1
 
4.0%
11 4
16.0%
10 1
 
4.0%
9 2
 
8.0%
8 3
12.0%
7 1
 
4.0%
6 5
20.0%
5 1
 
4.0%

심장(6등급)
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
25 

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 25
100.0%

Length

2023-12-13T06:16:56.375402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:16:56.459501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
100.0%

안면(1등급)
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
15 
2
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row2
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 15
60.0%
2 5
 
20.0%
1 5
 
20.0%

Length

2023-12-13T06:16:56.555569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:16:56.651813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 15
60.0%
2 5
 
20.0%
1 5
 
20.0%

안면(2등급)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.72
Minimum0
Maximum8
Zeros4
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:16:56.746151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q34
95-th percentile6
Maximum8
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.2083176
Coefficient of variation (CV)0.81188147
Kurtosis-0.33804651
Mean2.72
Median Absolute Deviation (MAD)2
Skewness0.61342247
Sum68
Variance4.8766667
MonotonicityNot monotonic
2023-12-13T06:16:56.877186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 6
24.0%
3 5
20.0%
0 4
16.0%
5 3
12.0%
4 2
 
8.0%
6 2
 
8.0%
2 2
 
8.0%
8 1
 
4.0%
ValueCountFrequency (%)
0 4
16.0%
1 6
24.0%
2 2
 
8.0%
3 5
20.0%
4 2
 
8.0%
5 3
12.0%
6 2
 
8.0%
8 1
 
4.0%
ValueCountFrequency (%)
8 1
 
4.0%
6 2
 
8.0%
5 3
12.0%
4 2
 
8.0%
3 5
20.0%
2 2
 
8.0%
1 6
24.0%
0 4
16.0%

안면(3등급)
Real number (ℝ)

Distinct9
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.16
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:16:56.984213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.2
Q12
median4
Q35
95-th percentile9.4
Maximum11
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.6089589
Coefficient of variation (CV)0.62715359
Kurtosis1.0493289
Mean4.16
Median Absolute Deviation (MAD)2
Skewness1.1259393
Sum104
Variance6.8066667
MonotonicityNot monotonic
2023-12-13T06:16:57.074943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2 7
28.0%
5 4
16.0%
3 3
12.0%
4 3
12.0%
1 2
 
8.0%
7 2
 
8.0%
6 2
 
8.0%
11 1
 
4.0%
10 1
 
4.0%
ValueCountFrequency (%)
1 2
 
8.0%
2 7
28.0%
3 3
12.0%
4 3
12.0%
5 4
16.0%
6 2
 
8.0%
7 2
 
8.0%
10 1
 
4.0%
11 1
 
4.0%
ValueCountFrequency (%)
11 1
 
4.0%
10 1
 
4.0%
7 2
 
8.0%
6 2
 
8.0%
5 4
16.0%
4 3
12.0%
3 3
12.0%
2 7
28.0%
1 2
 
8.0%

안면(4등급)
Real number (ℝ)

Distinct11
Distinct (%)44.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.28
Minimum2
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:16:57.165570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.2
Q15
median6
Q39
95-th percentile15
Maximum17
Range15
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.8570282
Coefficient of variation (CV)0.52981157
Kurtosis0.86386252
Mean7.28
Median Absolute Deviation (MAD)2
Skewness0.98547159
Sum182
Variance14.876667
MonotonicityNot monotonic
2023-12-13T06:16:57.285420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
6 4
16.0%
5 3
12.0%
7 3
12.0%
4 3
12.0%
11 3
12.0%
9 3
12.0%
2 2
8.0%
10 1
 
4.0%
17 1
 
4.0%
16 1
 
4.0%
ValueCountFrequency (%)
2 2
8.0%
3 1
 
4.0%
4 3
12.0%
5 3
12.0%
6 4
16.0%
7 3
12.0%
9 3
12.0%
10 1
 
4.0%
11 3
12.0%
16 1
 
4.0%
ValueCountFrequency (%)
17 1
 
4.0%
16 1
 
4.0%
11 3
12.0%
10 1
 
4.0%
9 3
12.0%
7 3
12.0%
6 4
16.0%
5 3
12.0%
4 3
12.0%
3 1
 
4.0%

안면(5등급)
Categorical

Distinct4
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
12 
1
2
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st row1
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 12
48.0%
1 8
32.0%
2 4
 
16.0%
3 1
 
4.0%

Length

2023-12-13T06:16:57.416079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:16:57.510237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 12
48.0%
1 8
32.0%
2 4
 
16.0%
3 1
 
4.0%

언어(1등급)
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
1
15 
0
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row2
4th row0
5th row1

Common Values

ValueCountFrequency (%)
1 15
60.0%
0 8
32.0%
2 2
 
8.0%

Length

2023-12-13T06:16:57.613728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:16:57.737504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 15
60.0%
0 8
32.0%
2 2
 
8.0%

언어(2등급)
Real number (ℝ)

Distinct16
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.8
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:16:57.850688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.6
Q17
median14
Q317
95-th percentile22.2
Maximum30
Range29
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.8313005
Coefficient of variation (CV)0.53369535
Kurtosis0.21099792
Mean12.8
Median Absolute Deviation (MAD)4
Skewness0.33771977
Sum320
Variance46.666667
MonotonicityNot monotonic
2023-12-13T06:16:57.981789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
7 3
12.0%
18 3
12.0%
6 2
 
8.0%
17 2
 
8.0%
12 2
 
8.0%
16 2
 
8.0%
15 2
 
8.0%
23 1
 
4.0%
2 1
 
4.0%
5 1
 
4.0%
Other values (6) 6
24.0%
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
5 1
 
4.0%
6 2
8.0%
7 3
12.0%
9 1
 
4.0%
10 1
 
4.0%
12 2
8.0%
14 1
 
4.0%
15 2
8.0%
ValueCountFrequency (%)
30 1
 
4.0%
23 1
 
4.0%
19 1
 
4.0%
18 3
12.0%
17 2
8.0%
16 2
8.0%
15 2
8.0%
14 1
 
4.0%
12 2
8.0%
10 1
 
4.0%

언어(3등급)
Real number (ℝ)

Distinct21
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.72
Minimum15
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:16:58.103086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile18.8
Q141
median52
Q363
95-th percentile81
Maximum92
Range77
Interquartile range (IQR)22

Descriptive statistics

Standard deviation18.279132
Coefficient of variation (CV)0.36039298
Kurtosis0.36107513
Mean50.72
Median Absolute Deviation (MAD)11
Skewness0.12300316
Sum1268
Variance334.12667
MonotonicityNot monotonic
2023-12-13T06:16:58.243733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
45 2
 
8.0%
44 2
 
8.0%
37 2
 
8.0%
57 2
 
8.0%
15 1
 
4.0%
63 1
 
4.0%
35 1
 
4.0%
69 1
 
4.0%
53 1
 
4.0%
52 1
 
4.0%
Other values (11) 11
44.0%
ValueCountFrequency (%)
15 1
4.0%
17 1
4.0%
26 1
4.0%
35 1
4.0%
37 2
8.0%
41 1
4.0%
44 2
8.0%
45 2
8.0%
48 1
4.0%
52 1
4.0%
ValueCountFrequency (%)
92 1
4.0%
84 1
4.0%
69 1
4.0%
67 1
4.0%
66 1
4.0%
65 1
4.0%
63 1
4.0%
57 2
8.0%
55 1
4.0%
54 1
4.0%

언어(4등급)
Real number (ℝ)

Distinct23
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66
Minimum12
Maximum138
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:16:58.381588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile24
Q153
median64
Q378
95-th percentile103.2
Maximum138
Range126
Interquartile range (IQR)25

Descriptive statistics

Standard deviation25.881139
Coefficient of variation (CV)0.39213846
Kurtosis1.850792
Mean66
Median Absolute Deviation (MAD)13
Skewness0.46601185
Sum1650
Variance669.83333
MonotonicityNot monotonic
2023-12-13T06:16:58.614313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
51 2
 
8.0%
71 2
 
8.0%
21 1
 
4.0%
64 1
 
4.0%
92 1
 
4.0%
78 1
 
4.0%
63 1
 
4.0%
53 1
 
4.0%
76 1
 
4.0%
55 1
 
4.0%
Other values (13) 13
52.0%
ValueCountFrequency (%)
12 1
4.0%
21 1
4.0%
36 1
4.0%
44 1
4.0%
51 2
8.0%
53 1
4.0%
54 1
4.0%
55 1
4.0%
59 1
4.0%
61 1
4.0%
ValueCountFrequency (%)
138 1
4.0%
106 1
4.0%
92 1
4.0%
90 1
4.0%
80 1
4.0%
79 1
4.0%
78 1
4.0%
76 1
4.0%
73 1
4.0%
72 1
4.0%

언어(5등급)
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
24 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 24
96.0%
1 1
 
4.0%

Length

2023-12-13T06:16:58.774729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:16:58.897402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
96.0%
1 1
 
4.0%

언어(6등급)
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
24 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 24
96.0%
1 1
 
4.0%

Length

2023-12-13T06:16:59.001247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:16:59.093812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
96.0%
1 1
 
4.0%

자폐성(1등급)
Real number (ℝ)

Distinct22
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.24
Minimum30
Maximum280
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:16:59.209017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile35.2
Q154
median76
Q396
95-th percentile255.6
Maximum280
Range250
Interquartile range (IQR)42

Descriptive statistics

Standard deviation66.741591
Coefficient of variation (CV)0.70077269
Kurtosis2.825434
Mean95.24
Median Absolute Deviation (MAD)22
Skewness1.7723337
Sum2381
Variance4454.44
MonotonicityNot monotonic
2023-12-13T06:16:59.363149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
89 2
 
8.0%
41 2
 
8.0%
62 2
 
8.0%
95 1
 
4.0%
190 1
 
4.0%
280 1
 
4.0%
272 1
 
4.0%
94 1
 
4.0%
82 1
 
4.0%
40 1
 
4.0%
Other values (12) 12
48.0%
ValueCountFrequency (%)
30 1
4.0%
34 1
4.0%
40 1
4.0%
41 2
8.0%
42 1
4.0%
54 1
4.0%
62 2
8.0%
65 1
4.0%
67 1
4.0%
72 1
4.0%
ValueCountFrequency (%)
280 1
4.0%
272 1
4.0%
190 1
4.0%
154 1
4.0%
143 1
4.0%
111 1
4.0%
96 1
4.0%
95 1
4.0%
94 1
4.0%
89 2
8.0%

자폐성(2등급)
Real number (ℝ)

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.76
Minimum15
Maximum228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:16:59.535043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile43.2
Q168
median77
Q3118
95-th percentile199.4
Maximum228
Range213
Interquartile range (IQR)50

Descriptive statistics

Standard deviation50.0069
Coefficient of variation (CV)0.51681376
Kurtosis1.3656744
Mean96.76
Median Absolute Deviation (MAD)25
Skewness1.1227787
Sum2419
Variance2500.69
MonotonicityNot monotonic
2023-12-13T06:16:59.704972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
68 2
 
8.0%
48 1
 
4.0%
113 1
 
4.0%
145 1
 
4.0%
228 1
 
4.0%
212 1
 
4.0%
118 1
 
4.0%
102 1
 
4.0%
85 1
 
4.0%
73 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
15 1
4.0%
42 1
4.0%
48 1
4.0%
52 1
4.0%
67 1
4.0%
68 2
8.0%
69 1
4.0%
70 1
4.0%
72 1
4.0%
73 1
4.0%
ValueCountFrequency (%)
228 1
4.0%
212 1
4.0%
149 1
4.0%
145 1
4.0%
137 1
4.0%
134 1
4.0%
118 1
4.0%
114 1
4.0%
113 1
4.0%
102 1
4.0%

자폐성(3등급)
Real number (ℝ)

Distinct21
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.64
Minimum11
Maximum74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:16:59.834782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile15.2
Q128
median36
Q344
95-th percentile66.2
Maximum74
Range63
Interquartile range (IQR)16

Descriptive statistics

Standard deviation15.882065
Coefficient of variation (CV)0.43346248
Kurtosis0.19212636
Mean36.64
Median Absolute Deviation (MAD)8
Skewness0.62346424
Sum916
Variance252.24
MonotonicityNot monotonic
2023-12-13T06:16:59.979536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
28 4
 
16.0%
43 2
 
8.0%
25 1
 
4.0%
40 1
 
4.0%
74 1
 
4.0%
68 1
 
4.0%
36 1
 
4.0%
45 1
 
4.0%
38 1
 
4.0%
11 1
 
4.0%
Other values (11) 11
44.0%
ValueCountFrequency (%)
11 1
 
4.0%
15 1
 
4.0%
16 1
 
4.0%
19 1
 
4.0%
24 1
 
4.0%
25 1
 
4.0%
28 4
16.0%
31 1
 
4.0%
33 1
 
4.0%
36 1
 
4.0%
ValueCountFrequency (%)
74 1
4.0%
68 1
4.0%
59 1
4.0%
54 1
4.0%
49 1
4.0%
45 1
4.0%
44 1
4.0%
43 2
8.0%
40 1
4.0%
38 1
4.0%
Distinct4
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
13 
1
2
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 13
52.0%
1 8
32.0%
2 3
 
12.0%
3 1
 
4.0%

Length

2023-12-13T06:17:00.155195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:17:00.261843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 13
52.0%
1 8
32.0%
2 3
 
12.0%
3 1
 
4.0%

장루요루(3등급)
Real number (ℝ)

Distinct12
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.76
Minimum2
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:17:00.362823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.2
Q16
median9
Q313
95-th percentile19.8
Maximum20
Range18
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.4564946
Coefficient of variation (CV)0.55906707
Kurtosis-0.50056426
Mean9.76
Median Absolute Deviation (MAD)4
Skewness0.68045132
Sum244
Variance29.773333
MonotonicityNot monotonic
2023-12-13T06:17:00.479345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
10 5
20.0%
7 4
16.0%
4 3
12.0%
13 2
 
8.0%
19 2
 
8.0%
20 2
 
8.0%
9 2
 
8.0%
2 1
 
4.0%
6 1
 
4.0%
16 1
 
4.0%
Other values (2) 2
 
8.0%
ValueCountFrequency (%)
2 1
 
4.0%
3 1
 
4.0%
4 3
12.0%
5 1
 
4.0%
6 1
 
4.0%
7 4
16.0%
9 2
 
8.0%
10 5
20.0%
13 2
 
8.0%
16 1
 
4.0%
ValueCountFrequency (%)
20 2
 
8.0%
19 2
 
8.0%
16 1
 
4.0%
13 2
 
8.0%
10 5
20.0%
9 2
 
8.0%
7 4
16.0%
6 1
 
4.0%
5 1
 
4.0%
4 3
12.0%

장루요루(4등급)
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.52
Minimum16
Maximum118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:17:00.633146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile27.8
Q156
median74
Q392
95-th percentile109.2
Maximum118
Range102
Interquartile range (IQR)36

Descriptive statistics

Standard deviation25.799096
Coefficient of variation (CV)0.35575146
Kurtosis-0.27452306
Mean72.52
Median Absolute Deviation (MAD)18
Skewness-0.39283089
Sum1813
Variance665.59333
MonotonicityNot monotonic
2023-12-13T06:17:00.787468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
16 1
 
4.0%
25 1
 
4.0%
83 1
 
4.0%
102 1
 
4.0%
58 1
 
4.0%
47 1
 
4.0%
95 1
 
4.0%
67 1
 
4.0%
81 1
 
4.0%
48 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
16 1
4.0%
25 1
4.0%
39 1
4.0%
47 1
4.0%
48 1
4.0%
51 1
4.0%
56 1
4.0%
58 1
4.0%
60 1
4.0%
67 1
4.0%
ValueCountFrequency (%)
118 1
4.0%
111 1
4.0%
102 1
4.0%
97 1
4.0%
95 1
4.0%
93 1
4.0%
92 1
4.0%
88 1
4.0%
87 1
4.0%
83 1
4.0%

장루요루(5등급)
Real number (ℝ)

Distinct18
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.28
Minimum9
Maximum57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:17:00.922212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile13
Q123
median27
Q336
95-th percentile46.2
Maximum57
Range48
Interquartile range (IQR)13

Descriptive statistics

Standard deviation10.80324
Coefficient of variation (CV)0.36896312
Kurtosis0.72685549
Mean29.28
Median Absolute Deviation (MAD)6
Skewness0.53426198
Sum732
Variance116.71
MonotonicityNot monotonic
2023-12-13T06:17:01.055955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
21 3
 
12.0%
24 3
 
12.0%
39 2
 
8.0%
23 2
 
8.0%
32 2
 
8.0%
11 1
 
4.0%
43 1
 
4.0%
26 1
 
4.0%
22 1
 
4.0%
27 1
 
4.0%
Other values (8) 8
32.0%
ValueCountFrequency (%)
9 1
 
4.0%
11 1
 
4.0%
21 3
12.0%
22 1
 
4.0%
23 2
8.0%
24 3
12.0%
26 1
 
4.0%
27 1
 
4.0%
29 1
 
4.0%
30 1
 
4.0%
ValueCountFrequency (%)
57 1
4.0%
47 1
4.0%
43 1
4.0%
39 2
8.0%
38 1
4.0%
36 1
4.0%
34 1
4.0%
32 2
8.0%
30 1
4.0%
29 1
4.0%

정신(1등급)
Real number (ℝ)

Distinct16
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum1
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:17:01.180532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.2
Q16
median9
Q314
95-th percentile32.6
Maximum38
Range37
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.495613
Coefficient of variation (CV)0.79130109
Kurtosis2.0041038
Mean12
Median Absolute Deviation (MAD)4
Skewness1.5824698
Sum300
Variance90.166667
MonotonicityNot monotonic
2023-12-13T06:17:01.344298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
18 3
12.0%
4 2
 
8.0%
10 2
 
8.0%
8 2
 
8.0%
11 2
 
8.0%
7 2
 
8.0%
9 2
 
8.0%
5 2
 
8.0%
3 1
 
4.0%
12 1
 
4.0%
Other values (6) 6
24.0%
ValueCountFrequency (%)
1 1
4.0%
3 1
4.0%
4 2
8.0%
5 2
8.0%
6 1
4.0%
7 2
8.0%
8 2
8.0%
9 2
8.0%
10 2
8.0%
11 2
8.0%
ValueCountFrequency (%)
38 1
 
4.0%
33 1
 
4.0%
31 1
 
4.0%
18 3
12.0%
14 1
 
4.0%
12 1
 
4.0%
11 2
8.0%
10 2
8.0%
9 2
8.0%
8 2
8.0%

정신(2등급)
Real number (ℝ)

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153.6
Minimum47
Maximum402
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:17:01.499578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47
5-th percentile53.4
Q1104
median122
Q3163
95-th percentile382
Maximum402
Range355
Interquartile range (IQR)59

Descriptive statistics

Standard deviation98.25986
Coefficient of variation (CV)0.63971263
Kurtosis1.9708667
Mean153.6
Median Absolute Deviation (MAD)19
Skewness1.6572292
Sum3840
Variance9655
MonotonicityNot monotonic
2023-12-13T06:17:01.655330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
122 2
 
8.0%
59 1
 
4.0%
124 1
 
4.0%
135 1
 
4.0%
259 1
 
4.0%
78 1
 
4.0%
180 1
 
4.0%
105 1
 
4.0%
103 1
 
4.0%
104 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
47 1
4.0%
52 1
4.0%
59 1
4.0%
78 1
4.0%
102 1
4.0%
103 1
4.0%
104 1
4.0%
105 1
4.0%
108 1
4.0%
113 1
4.0%
ValueCountFrequency (%)
402 1
4.0%
385 1
4.0%
370 1
4.0%
259 1
4.0%
193 1
4.0%
180 1
4.0%
163 1
4.0%
139 1
4.0%
136 1
4.0%
135 1
4.0%

정신(3등급)
Real number (ℝ)

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean489.32
Minimum178
Maximum1183
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:17:01.803892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum178
5-th percentile202.4
Q1338
median463
Q3548
95-th percentile1001
Maximum1183
Range1005
Interquartile range (IQR)210

Descriptive statistics

Standard deviation238.62867
Coefficient of variation (CV)0.48767406
Kurtosis2.7978569
Mean489.32
Median Absolute Deviation (MAD)113
Skewness1.5085429
Sum12233
Variance56943.643
MonotonicityNot monotonic
2023-12-13T06:17:01.969377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
487 2
 
8.0%
195 1
 
4.0%
371 1
 
4.0%
440 1
 
4.0%
576 1
 
4.0%
263 1
 
4.0%
681 1
 
4.0%
405 1
 
4.0%
337 1
 
4.0%
299 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
178 1
4.0%
195 1
4.0%
232 1
4.0%
263 1
4.0%
299 1
4.0%
337 1
4.0%
338 1
4.0%
371 1
4.0%
405 1
4.0%
408 1
4.0%
ValueCountFrequency (%)
1183 1
4.0%
1069 1
4.0%
729 1
4.0%
681 1
4.0%
646 1
4.0%
576 1
4.0%
548 1
4.0%
506 1
4.0%
497 1
4.0%
487 2
8.0%

지적(1등급)
Real number (ℝ)

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean267.84
Minimum74
Maximum665
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:17:02.114250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74
5-th percentile80.6
Q1183
median240
Q3297
95-th percentile557.4
Maximum665
Range591
Interquartile range (IQR)114

Descriptive statistics

Standard deviation148.30843
Coefficient of variation (CV)0.55372024
Kurtosis1.2984357
Mean267.84
Median Absolute Deviation (MAD)57
Skewness1.2290137
Sum6696
Variance21995.39
MonotonicityNot monotonic
2023-12-13T06:17:02.244474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
74 2
 
8.0%
269 1
 
4.0%
411 1
 
4.0%
415 1
 
4.0%
286 1
 
4.0%
178 1
 
4.0%
249 1
 
4.0%
190 1
 
4.0%
183 1
 
4.0%
148 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
74 2
8.0%
107 1
4.0%
144 1
4.0%
148 1
4.0%
178 1
4.0%
183 1
4.0%
190 1
4.0%
192 1
4.0%
207 1
4.0%
210 1
4.0%
ValueCountFrequency (%)
665 1
4.0%
563 1
4.0%
535 1
4.0%
415 1
4.0%
411 1
4.0%
299 1
4.0%
297 1
4.0%
286 1
4.0%
269 1
4.0%
266 1
4.0%

지적(2등급)
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean339.04
Minimum95
Maximum692
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:17:02.385423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95
5-th percentile130.8
Q1239
median322
Q3409
95-th percentile643.6
Maximum692
Range597
Interquartile range (IQR)170

Descriptive statistics

Standard deviation148.60588
Coefficient of variation (CV)0.4383137
Kurtosis0.65620506
Mean339.04
Median Absolute Deviation (MAD)87
Skewness0.78679946
Sum8476
Variance22083.707
MonotonicityNot monotonic
2023-12-13T06:17:02.512366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
122 1
 
4.0%
95 1
 
4.0%
393 1
 
4.0%
491 1
 
4.0%
341 1
 
4.0%
241 1
 
4.0%
419 1
 
4.0%
288 1
 
4.0%
284 1
 
4.0%
239 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
95 1
4.0%
122 1
4.0%
166 1
4.0%
225 1
4.0%
230 1
4.0%
234 1
4.0%
239 1
4.0%
241 1
4.0%
273 1
4.0%
275 1
4.0%
ValueCountFrequency (%)
692 1
4.0%
669 1
4.0%
542 1
4.0%
491 1
4.0%
432 1
4.0%
419 1
4.0%
409 1
4.0%
393 1
4.0%
378 1
4.0%
376 1
4.0%

지적(3등급)
Real number (ℝ)

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean437.52
Minimum148
Maximum807
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:17:02.640032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum148
5-th percentile195.6
Q1336
median415
Q3499
95-th percentile751.4
Maximum807
Range659
Interquartile range (IQR)163

Descriptive statistics

Standard deviation162.53439
Coefficient of variation (CV)0.37149019
Kurtosis0.385873
Mean437.52
Median Absolute Deviation (MAD)84
Skewness0.57400794
Sum10938
Variance26417.427
MonotonicityNot monotonic
2023-12-13T06:17:02.786708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
463 2
 
8.0%
183 1
 
4.0%
349 1
 
4.0%
499 1
 
4.0%
584 1
 
4.0%
401 1
 
4.0%
301 1
 
4.0%
633 1
 
4.0%
390 1
 
4.0%
381 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
148 1
4.0%
183 1
4.0%
246 1
4.0%
301 1
4.0%
312 1
4.0%
328 1
4.0%
336 1
4.0%
349 1
4.0%
362 1
4.0%
381 1
4.0%
ValueCountFrequency (%)
807 1
4.0%
781 1
4.0%
633 1
4.0%
629 1
4.0%
584 1
4.0%
556 1
4.0%
499 1
4.0%
465 1
4.0%
463 2
8.0%
457 1
4.0%

지체(1등급)
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201.04
Minimum47
Maximum554
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:17:02.928610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47
5-th percentile62.6
Q1136
median189
Q3229
95-th percentile458.4
Maximum554
Range507
Interquartile range (IQR)93

Descriptive statistics

Standard deviation116.85906
Coefficient of variation (CV)0.58127268
Kurtosis3.7661849
Mean201.04
Median Absolute Deviation (MAD)48
Skewness1.741809
Sum5026
Variance13656.04
MonotonicityNot monotonic
2023-12-13T06:17:03.067543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
47 1
 
4.0%
57 1
 
4.0%
237 1
 
4.0%
292 1
 
4.0%
275 1
 
4.0%
171 1
 
4.0%
190 1
 
4.0%
159 1
 
4.0%
145 1
 
4.0%
105 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
47 1
4.0%
57 1
4.0%
85 1
4.0%
105 1
4.0%
113 1
4.0%
124 1
4.0%
136 1
4.0%
145 1
4.0%
159 1
4.0%
160 1
4.0%
ValueCountFrequency (%)
554 1
4.0%
500 1
4.0%
292 1
4.0%
275 1
4.0%
269 1
4.0%
237 1
4.0%
229 1
4.0%
215 1
4.0%
200 1
4.0%
194 1
4.0%

지체(2등급)
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean367.24
Minimum122
Maximum932
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:17:03.182613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum122
5-th percentile148.6
Q1267
median332
Q3417
95-th percentile828
Maximum932
Range810
Interquartile range (IQR)150

Descriptive statistics

Standard deviation194.06942
Coefficient of variation (CV)0.52845393
Kurtosis4.0348831
Mean367.24
Median Absolute Deviation (MAD)84
Skewness1.8633017
Sum9181
Variance37662.94
MonotonicityNot monotonic
2023-12-13T06:17:03.638372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
144 1
 
4.0%
122 1
 
4.0%
368 1
 
4.0%
417 1
 
4.0%
504 1
 
4.0%
285 1
 
4.0%
428 1
 
4.0%
312 1
 
4.0%
291 1
 
4.0%
267 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
122 1
4.0%
144 1
4.0%
167 1
4.0%
221 1
4.0%
241 1
4.0%
248 1
4.0%
267 1
4.0%
284 1
4.0%
285 1
4.0%
291 1
4.0%
ValueCountFrequency (%)
932 1
4.0%
909 1
4.0%
504 1
4.0%
496 1
4.0%
438 1
4.0%
428 1
4.0%
417 1
4.0%
412 1
4.0%
394 1
4.0%
368 1
4.0%

지체(3등급)
Real number (ℝ)

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean834.88
Minimum306
Maximum1752
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:17:03.764971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum306
5-th percentile336.8
Q1648
median845
Q3937
95-th percentile1552.4
Maximum1752
Range1446
Interquartile range (IQR)289

Descriptive statistics

Standard deviation339.53661
Coefficient of variation (CV)0.40668912
Kurtosis2.1149491
Mean834.88
Median Absolute Deviation (MAD)164
Skewness1.0843765
Sum20872
Variance115285.11
MonotonicityNot monotonic
2023-12-13T06:17:03.901335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
922 2
 
8.0%
306 1
 
4.0%
681 1
 
4.0%
937 1
 
4.0%
986 1
 
4.0%
902 1
 
4.0%
542 1
 
4.0%
1046 1
 
4.0%
702 1
 
4.0%
775 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
306 1
4.0%
321 1
4.0%
400 1
4.0%
542 1
4.0%
589 1
4.0%
633 1
4.0%
648 1
4.0%
652 1
4.0%
681 1
4.0%
702 1
4.0%
ValueCountFrequency (%)
1752 1
4.0%
1656 1
4.0%
1138 1
4.0%
1046 1
4.0%
986 1
4.0%
949 1
4.0%
937 1
4.0%
922 2
8.0%
909 1
4.0%
902 1
4.0%

지체(4등급)
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1378.44
Minimum578
Maximum2435
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:17:04.045499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum578
5-th percentile647.8
Q11148
median1308
Q31634
95-th percentile2225
Maximum2435
Range1857
Interquartile range (IQR)486

Descriptive statistics

Standard deviation468.44255
Coefficient of variation (CV)0.33983529
Kurtosis0.097967703
Mean1378.44
Median Absolute Deviation (MAD)282
Skewness0.37539754
Sum34461
Variance219438.42
MonotonicityNot monotonic
2023-12-13T06:17:04.233377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
618 1
 
4.0%
578 1
 
4.0%
1345 1
 
4.0%
1546 1
 
4.0%
1120 1
 
4.0%
767 1
 
4.0%
1795 1
 
4.0%
1153 1
 
4.0%
1263 1
 
4.0%
1024 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
578 1
4.0%
618 1
4.0%
767 1
4.0%
796 1
4.0%
1024 1
4.0%
1120 1
4.0%
1148 1
4.0%
1153 1
4.0%
1158 1
4.0%
1176 1
4.0%
ValueCountFrequency (%)
2435 1
4.0%
2293 1
4.0%
1953 1
4.0%
1798 1
4.0%
1795 1
4.0%
1647 1
4.0%
1634 1
4.0%
1590 1
4.0%
1580 1
4.0%
1546 1
4.0%

지체(5등급)
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2116.92
Minimum780
Maximum3447
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:17:04.433405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum780
5-th percentile892.4
Q11760
median2144
Q32462
95-th percentile3247.8
Maximum3447
Range2667
Interquartile range (IQR)702

Descriptive statistics

Standard deviation693.5298
Coefficient of variation (CV)0.32761266
Kurtosis-0.2418399
Mean2116.92
Median Absolute Deviation (MAD)384
Skewness-0.11033709
Sum52923
Variance480983.58
MonotonicityNot monotonic
2023-12-13T06:17:04.581752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
841 1
 
4.0%
780 1
 
4.0%
2462 1
 
4.0%
2688 1
 
4.0%
1798 1
 
4.0%
1362 1
 
4.0%
2788 1
 
4.0%
2026 1
 
4.0%
2001 1
 
4.0%
1539 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
780 1
4.0%
841 1
4.0%
1098 1
4.0%
1362 1
4.0%
1539 1
4.0%
1720 1
4.0%
1760 1
4.0%
1775 1
4.0%
1780 1
4.0%
1798 1
4.0%
ValueCountFrequency (%)
3447 1
4.0%
3349 1
4.0%
2843 1
4.0%
2793 1
4.0%
2788 1
4.0%
2688 1
4.0%
2462 1
4.0%
2452 1
4.0%
2442 1
4.0%
2387 1
4.0%

지체(6등급)
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2373.88
Minimum799
Maximum3983
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:17:04.747011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum799
5-th percentile882
Q11890
median2400
Q32929
95-th percentile3649.2
Maximum3983
Range3184
Interquartile range (IQR)1039

Descriptive statistics

Standard deviation838.3226
Coefficient of variation (CV)0.35314447
Kurtosis-0.41175838
Mean2373.88
Median Absolute Deviation (MAD)529
Skewness-0.12301726
Sum59347
Variance702784.78
MonotonicityNot monotonic
2023-12-13T06:17:04.905478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
799 1
 
4.0%
813 1
 
4.0%
2708 1
 
4.0%
3153 1
 
4.0%
1913 1
 
4.0%
1460 1
 
4.0%
3234 1
 
4.0%
2269 1
 
4.0%
2246 1
 
4.0%
1793 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
799 1
4.0%
813 1
4.0%
1158 1
4.0%
1460 1
4.0%
1793 1
4.0%
1799 1
4.0%
1890 1
4.0%
1891 1
4.0%
1913 1
4.0%
1977 1
4.0%
ValueCountFrequency (%)
3983 1
4.0%
3728 1
4.0%
3334 1
4.0%
3234 1
4.0%
3153 1
4.0%
3145 1
4.0%
2929 1
4.0%
2765 1
4.0%
2735 1
4.0%
2708 1
4.0%

청각(1등급)
Real number (ℝ)

Distinct21
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.88
Minimum6
Maximum79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:17:05.053821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile21.2
Q126
median36
Q342
95-th percentile70.8
Maximum79
Range73
Interquartile range (IQR)16

Descriptive statistics

Standard deviation17.381312
Coefficient of variation (CV)0.45885195
Kurtosis0.47837501
Mean37.88
Median Absolute Deviation (MAD)9
Skewness0.84017822
Sum947
Variance302.11
MonotonicityNot monotonic
2023-12-13T06:17:05.178477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
36 3
 
12.0%
22 2
 
8.0%
42 2
 
8.0%
30 1
 
4.0%
37 1
 
4.0%
40 1
 
4.0%
72 1
 
4.0%
27 1
 
4.0%
32 1
 
4.0%
56 1
 
4.0%
Other values (11) 11
44.0%
ValueCountFrequency (%)
6 1
4.0%
21 1
4.0%
22 2
8.0%
24 1
4.0%
25 1
4.0%
26 1
4.0%
27 1
4.0%
29 1
4.0%
30 1
4.0%
32 1
4.0%
ValueCountFrequency (%)
79 1
 
4.0%
72 1
 
4.0%
66 1
 
4.0%
62 1
 
4.0%
56 1
 
4.0%
44 1
 
4.0%
42 2
8.0%
40 1
 
4.0%
37 1
 
4.0%
36 3
12.0%

청각(2등급)
Real number (ℝ)

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean272.4
Minimum114
Maximum613
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:17:05.328239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum114
5-th percentile123.2
Q1208
median261
Q3315
95-th percentile535.8
Maximum613
Range499
Interquartile range (IQR)107

Descriptive statistics

Standard deviation120.3017
Coefficient of variation (CV)0.44163621
Kurtosis2.8104223
Mean272.4
Median Absolute Deviation (MAD)54
Skewness1.4529436
Sum6810
Variance14472.5
MonotonicityNot monotonic
2023-12-13T06:17:05.495894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
307 2
 
8.0%
114 1
 
4.0%
268 1
 
4.0%
226 1
 
4.0%
260 1
 
4.0%
261 1
 
4.0%
150 1
 
4.0%
353 1
 
4.0%
328 1
 
4.0%
231 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
114 1
4.0%
120 1
4.0%
136 1
4.0%
150 1
4.0%
170 1
4.0%
192 1
4.0%
208 1
4.0%
209 1
4.0%
226 1
4.0%
231 1
4.0%
ValueCountFrequency (%)
613 1
4.0%
579 1
4.0%
363 1
4.0%
353 1
4.0%
328 1
4.0%
325 1
4.0%
315 1
4.0%
307 2
8.0%
273 1
4.0%
268 1
4.0%

청각(3등급)
Real number (ℝ)

Distinct23
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean241.6
Minimum82
Maximum517
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:17:05.656647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum82
5-th percentile103
Q1186
median225
Q3281
95-th percentile383.6
Maximum517
Range435
Interquartile range (IQR)95

Descriptive statistics

Standard deviation95.23261
Coefficient of variation (CV)0.39417471
Kurtosis1.7534411
Mean241.6
Median Absolute Deviation (MAD)53
Skewness0.91400534
Sum6040
Variance9069.25
MonotonicityNot monotonic
2023-12-13T06:17:05.807255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
186 2
 
8.0%
225 2
 
8.0%
98 1
 
4.0%
308 1
 
4.0%
238 1
 
4.0%
279 1
 
4.0%
211 1
 
4.0%
164 1
 
4.0%
345 1
 
4.0%
222 1
 
4.0%
Other values (13) 13
52.0%
ValueCountFrequency (%)
82 1
4.0%
98 1
4.0%
123 1
4.0%
164 1
4.0%
172 1
4.0%
186 2
8.0%
195 1
4.0%
197 1
4.0%
211 1
4.0%
218 1
4.0%
ValueCountFrequency (%)
517 1
4.0%
389 1
4.0%
362 1
4.0%
345 1
4.0%
308 1
4.0%
295 1
4.0%
281 1
4.0%
279 1
4.0%
269 1
4.0%
253 1
4.0%

청각(4등급)
Real number (ℝ)

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean466.36
Minimum174
Maximum864
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:17:05.945709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174
5-th percentile188.8
Q1379
median460
Q3577
95-th percentile727.6
Maximum864
Range690
Interquartile range (IQR)198

Descriptive statistics

Standard deviation164.88478
Coefficient of variation (CV)0.35355686
Kurtosis0.38824072
Mean466.36
Median Absolute Deviation (MAD)117
Skewness0.33286452
Sum11659
Variance27186.99
MonotonicityNot monotonic
2023-12-13T06:17:06.068685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
174 2
 
8.0%
582 1
 
4.0%
460 1
 
4.0%
497 1
 
4.0%
379 1
 
4.0%
309 1
 
4.0%
588 1
 
4.0%
470 1
 
4.0%
595 1
 
4.0%
339 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
174 2
8.0%
248 1
4.0%
309 1
4.0%
339 1
4.0%
340 1
4.0%
379 1
4.0%
382 1
4.0%
386 1
4.0%
412 1
4.0%
450 1
4.0%
ValueCountFrequency (%)
864 1
4.0%
732 1
4.0%
710 1
4.0%
595 1
4.0%
588 1
4.0%
582 1
4.0%
577 1
4.0%
528 1
4.0%
504 1
4.0%
501 1
4.0%

청각(5등급)
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean614.52
Minimum215
Maximum1047
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:17:06.220131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum215
5-th percentile252.4
Q1468
median642
Q3729
95-th percentile935.8
Maximum1047
Range832
Interquartile range (IQR)261

Descriptive statistics

Standard deviation206.43363
Coefficient of variation (CV)0.33592662
Kurtosis-0.059913546
Mean614.52
Median Absolute Deviation (MAD)112
Skewness-0.031061337
Sum15363
Variance42614.843
MonotonicityNot monotonic
2023-12-13T06:17:06.348957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
232 1
 
4.0%
215 1
 
4.0%
618 1
 
4.0%
744 1
 
4.0%
531 1
 
4.0%
439 1
 
4.0%
754 1
 
4.0%
609 1
 
4.0%
655 1
 
4.0%
425 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
215 1
4.0%
232 1
4.0%
334 1
4.0%
425 1
4.0%
439 1
4.0%
452 1
4.0%
468 1
4.0%
482 1
4.0%
531 1
4.0%
563 1
4.0%
ValueCountFrequency (%)
1047 1
4.0%
940 1
4.0%
919 1
4.0%
800 1
4.0%
754 1
4.0%
744 1
4.0%
729 1
4.0%
715 1
4.0%
694 1
4.0%
680 1
4.0%

청각(6등급)
Real number (ℝ)

Distinct23
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean314.56
Minimum106
Maximum550
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:17:06.484447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum106
5-th percentile138.6
Q1252
median310
Q3375
95-th percentile508.8
Maximum550
Range444
Interquartile range (IQR)123

Descriptive statistics

Standard deviation104.50282
Coefficient of variation (CV)0.33221905
Kurtosis0.6462527
Mean314.56
Median Absolute Deviation (MAD)59
Skewness0.24114456
Sum7864
Variance10920.84
MonotonicityNot monotonic
2023-12-13T06:17:06.630856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
294 2
 
8.0%
330 2
 
8.0%
132 1
 
4.0%
354 1
 
4.0%
396 1
 
4.0%
251 1
 
4.0%
377 1
 
4.0%
307 1
 
4.0%
275 1
 
4.0%
252 1
 
4.0%
Other values (13) 13
52.0%
ValueCountFrequency (%)
106 1
4.0%
132 1
4.0%
165 1
4.0%
232 1
4.0%
246 1
4.0%
251 1
4.0%
252 1
4.0%
273 1
4.0%
275 1
4.0%
294 2
8.0%
ValueCountFrequency (%)
550 1
4.0%
526 1
4.0%
440 1
4.0%
397 1
4.0%
396 1
4.0%
377 1
4.0%
375 1
4.0%
354 1
4.0%
332 1
4.0%
330 2
8.0%

호흡기(1등급)
Real number (ℝ)

Distinct13
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.92
Minimum2
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:17:06.751843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q19
median13
Q317
95-th percentile23.4
Maximum26
Range24
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.3503281
Coefficient of variation (CV)0.49151146
Kurtosis-0.22517305
Mean12.92
Median Absolute Deviation (MAD)4
Skewness0.052400555
Sum323
Variance40.326667
MonotonicityNot monotonic
2023-12-13T06:17:06.873067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
13 5
20.0%
2 3
12.0%
8 3
12.0%
9 3
12.0%
16 2
 
8.0%
18 2
 
8.0%
17 1
 
4.0%
24 1
 
4.0%
21 1
 
4.0%
11 1
 
4.0%
Other values (3) 3
12.0%
ValueCountFrequency (%)
2 3
12.0%
8 3
12.0%
9 3
12.0%
11 1
 
4.0%
13 5
20.0%
15 1
 
4.0%
16 2
 
8.0%
17 1
 
4.0%
18 2
 
8.0%
19 1
 
4.0%
ValueCountFrequency (%)
26 1
 
4.0%
24 1
 
4.0%
21 1
 
4.0%
19 1
 
4.0%
18 2
 
8.0%
17 1
 
4.0%
16 2
 
8.0%
15 1
 
4.0%
13 5
20.0%
11 1
 
4.0%

호흡기(2등급)
Real number (ℝ)

Distinct21
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.56
Minimum3
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:17:07.001813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile9.2
Q115
median22
Q330
95-th percentile40.4
Maximum47
Range44
Interquartile range (IQR)15

Descriptive statistics

Standard deviation10.626539
Coefficient of variation (CV)0.45104156
Kurtosis-0.1833281
Mean23.56
Median Absolute Deviation (MAD)8
Skewness0.22752944
Sum589
Variance112.92333
MonotonicityNot monotonic
2023-12-13T06:17:07.103756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
22 3
 
12.0%
31 2
 
8.0%
14 2
 
8.0%
3 1
 
4.0%
10 1
 
4.0%
27 1
 
4.0%
36 1
 
4.0%
28 1
 
4.0%
18 1
 
4.0%
19 1
 
4.0%
Other values (11) 11
44.0%
ValueCountFrequency (%)
3 1
 
4.0%
9 1
 
4.0%
10 1
 
4.0%
12 1
 
4.0%
14 2
8.0%
15 1
 
4.0%
18 1
 
4.0%
19 1
 
4.0%
21 1
 
4.0%
22 3
12.0%
ValueCountFrequency (%)
47 1
4.0%
41 1
4.0%
38 1
4.0%
36 1
4.0%
31 2
8.0%
30 1
4.0%
29 1
4.0%
28 1
4.0%
27 1
4.0%
26 1
4.0%

호흡기(3등급)
Real number (ℝ)

Distinct23
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.56
Minimum13
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:17:07.226818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile20
Q131
median45
Q356
95-th percentile80.4
Maximum92
Range79
Interquartile range (IQR)25

Descriptive statistics

Standard deviation20.052182
Coefficient of variation (CV)0.43067401
Kurtosis-0.20154339
Mean46.56
Median Absolute Deviation (MAD)13
Skewness0.46542211
Sum1164
Variance402.09
MonotonicityNot monotonic
2023-12-13T06:17:07.388560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
50 2
 
8.0%
54 2
 
8.0%
19 1
 
4.0%
52 1
 
4.0%
56 1
 
4.0%
58 1
 
4.0%
36 1
 
4.0%
38 1
 
4.0%
29 1
 
4.0%
26 1
 
4.0%
Other values (13) 13
52.0%
ValueCountFrequency (%)
13 1
4.0%
19 1
4.0%
24 1
4.0%
25 1
4.0%
26 1
4.0%
29 1
4.0%
31 1
4.0%
33 1
4.0%
36 1
4.0%
38 1
4.0%
ValueCountFrequency (%)
92 1
4.0%
82 1
4.0%
74 1
4.0%
73 1
4.0%
63 1
4.0%
58 1
4.0%
56 1
4.0%
54 2
8.0%
52 1
4.0%
50 2
8.0%

호흡기(4등급)
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
24 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 24
96.0%
1 1
 
4.0%

Length

2023-12-13T06:17:07.532663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:17:07.644808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
96.0%
1 1
 
4.0%
Distinct5
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2
0
3
1
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st row0
2nd row1
3rd row0
4th row3
5th row0

Common Values

ValueCountFrequency (%)
2 8
32.0%
0 6
24.0%
3 6
24.0%
1 4
16.0%
5 1
 
4.0%

Length

2023-12-13T06:17:07.751738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:17:07.852830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 8
32.0%
0 6
24.0%
3 6
24.0%
1 4
16.0%
5 1
 
4.0%

Sample

유형(등급)간(1등급)간(2등급)간(3등급)간(4등급)간(5등급)뇌병변(1등급)뇌병변(2등급)뇌병변(3등급)뇌병변(4등급)뇌병변(5등급)뇌병변(6등급)뇌전증(1등급)뇌전증(2등급)뇌전증(3등급)뇌전증(4등급)뇌전증(5등급)시각(1등급)시각(2등급)시각(3등급)시각(4등급)시각(5등급)시각(6등급)신장(1등급)신장(2등급)신장(3등급)신장(4등급)신장(5등급)신장(6등급)심장(1등급)심장(2등급)심장(3등급)심장(4등급)심장(5등급)심장(6등급)안면(1등급)안면(2등급)안면(3등급)안면(4등급)안면(5등급)언어(1등급)언어(2등급)언어(3등급)언어(4등급)언어(5등급)언어(6등급)자폐성(1등급)자폐성(2등급)자폐성(3등급)장루요루(2등급)장루요루(3등급)장루요루(4등급)장루요루(5등급)정신(1등급)정신(2등급)정신(3등급)지적(1등급)지적(2등급)지적(3등급)지체(1등급)지체(2등급)지체(3등급)지체(4등급)지체(5등급)지체(6등급)청각(1등급)청각(2등급)청각(3등급)청각(4등급)청각(5등급)청각(6등급)호흡기(1등급)호흡기(2등급)호흡기(3등급)호흡기(4등급)호흡기(5등급)
0종로구220534112117130757172021951631626356441814165035400310030003211615210034482504161135919574122183471443066188417993611498174232132231900
1중구200027122120996479790051291531632364844910160034500210010202200117120030151602259147178749514857122321578780813612082174215106291301
2용산구231553210136160100114111021134139173961896531824303740011502001150262636004142150739214522321071662468516740079610981158221361232483341658152500
3성동구0245692402492581861711620110201015524505711182428324031090042706013271010415910627028066024101023381442303121132216481217178017992119217234045223217225403
4광진구624262255242306162189152054319159295977118902284081213700424060014411744510067682811072218113418192275328136241652114817751977241701863864682469223300
5동대문구5610843133193992322072072383471883965901361049284260814601440030032113014554400427224147324111365062102344151603348451647228526012923625345069433213304501
6중랑구0393764364184622832432520612461525739879116114295455006162007421902059201967730096773301393381819364626643255626949611381953284333343631529550168032016317300
7성북구0413112435352395263255220126268270576097129126334535081940241715004211019658000728737277430181184972403404491893379091634245227353526622550471539713294312
8강북구2163743883663872282122271363093875179971551254385131512700825260032511164879005467190108039101635482994094652294389011590236326246230728152867637513265403
9도봉구321177412331354236206221128169264377074113106930449031290242506016461053754007668280488398122487263322463194298758130821442400362732184586423308214402
유형(등급)간(1등급)간(2등급)간(3등급)간(4등급)간(5등급)뇌병변(1등급)뇌병변(2등급)뇌병변(3등급)뇌병변(4등급)뇌병변(5등급)뇌병변(6등급)뇌전증(1등급)뇌전증(2등급)뇌전증(3등급)뇌전증(4등급)뇌전증(5등급)시각(1등급)시각(2등급)시각(3등급)시각(4등급)시각(5등급)시각(6등급)신장(1등급)신장(2등급)신장(3등급)신장(4등급)신장(5등급)신장(6등급)심장(1등급)심장(2등급)심장(3등급)심장(4등급)심장(5등급)심장(6등급)안면(1등급)안면(2등급)안면(3등급)안면(4등급)안면(5등급)언어(1등급)언어(2등급)언어(3등급)언어(4등급)언어(5등급)언어(6등급)자폐성(1등급)자폐성(2등급)자폐성(3등급)장루요루(2등급)장루요루(3등급)장루요루(4등급)장루요루(5등급)정신(1등급)정신(2등급)정신(3등급)지적(1등급)지적(2등급)지적(3등급)지체(1등급)지체(2등급)지체(3등급)지체(4등급)지체(5등급)지체(6등급)청각(1등급)청각(2등급)청각(3등급)청각(4등급)청각(5등급)청각(6등급)호흡기(1등급)호흡기(2등급)호흡기(3등급)호흡기(4등급)호흡기(5등급)
15강서구288412066867067636431132717216918542791241352091772100882015261001548280251016011584138001431494902011843384021183535669781500932175224353447398379613517864104755026419200
16구로구12628339230636521721820633727112714978901431267434801313600241111006511201854720011111428079236121214632973784631933329221580244229295630726957772931016196302
17금천구000141225196220143132158007275129335151908252333401810043706013740123751004052110548235104299148239336105267633102415391793322081953394252529182602
18영등포구01217632326829920619120612816619531669913210623644207136003190401439011252550062733801081247103337183284381145291775126320012246272312225956552758222900
19동작구3452853473223172041891971142315283386692126100429435171670143201100125021653760082854517673491054051902883901593127021153202622697232822547060930713143802
20관악구256683441364460270270265022031103596110011717214814966908185037331900159001769710089102360995271418068124941963319042810461795278832344235334558875437718315001
21서초구0140111357273238136160166263113216256057947552934104171005190800123017355300941184313472277826317824130117128554276713621460221501643094392519143602
22강남구104212943138436419020517914192043245887861238865249325251001029014025471117456300272212681105821182595762863414012755049021120179819134226121137953129418285805
23송파구22401665444074472442682713216324263369511316813724361109277017361150006601186378002802287431010232111354874154915842924179861546268831534026027949774439619365603
24강동구605610147235436926425621544122910224349092145122441515061780123201100556211257920119014543013832651224404113934992373689371345246227083722623846061835413275203