Overview

Dataset statistics

Number of variables6
Number of observations75
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory53.8 B

Variable types

Categorical2
Numeric4

Dataset

Description대전광역시 장애인 유형별 등록현황에 대한 데이터로 시군구, 장애휴형, 심한 장애, 삼하지 않은 장애 등의 항목을 제공합니다.
Author대전광역시
URLhttps://www.data.go.kr/data/15062785/fileData.do

Alerts

심한 장애(남성) is highly overall correlated with 심한 장애(여성)High correlation
심한 장애(여성) is highly overall correlated with 심한 장애(남성)High correlation
심하지 않은 장애(남성) is highly overall correlated with 심하지 않은 장애(여성)High correlation
심하지 않은 장애(여성) is highly overall correlated with 심하지 않은 장애(남성)High correlation
심한 장애(여성) has 3 (4.0%) zerosZeros
심하지 않은 장애(남성) has 14 (18.7%) zerosZeros
심하지 않은 장애(여성) has 13 (17.3%) zerosZeros

Reproduction

Analysis started2023-12-12 05:28:37.478888
Analysis finished2023-12-12 05:28:39.448169
Duration1.97 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구
Categorical

Distinct5
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
동구
15 
중구
15 
서구
15 
유성구
15 
대덕구
15 

Length

Max length3
Median length2
Mean length2.4
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동구 15
20.0%
중구 15
20.0%
서구 15
20.0%
유성구 15
20.0%
대덕구 15
20.0%

Length

2023-12-12T14:28:39.511764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:28:39.630334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동구 15
20.0%
중구 15
20.0%
서구 15
20.0%
유성구 15
20.0%
대덕구 15
20.0%

장애유형
Categorical

Distinct15
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
지체
 
5
시각
 
5
청각
 
5
언어
 
5
지적
 
5
Other values (10)
50 

Length

Max length5
Median length2
Mean length2.4
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row지체
2nd row시각
3rd row청각
4th row언어
5th row지적

Common Values

ValueCountFrequency (%)
지체 5
 
6.7%
시각 5
 
6.7%
청각 5
 
6.7%
언어 5
 
6.7%
지적 5
 
6.7%
뇌병변 5
 
6.7%
자폐성 5
 
6.7%
정신 5
 
6.7%
신장 5
 
6.7%
심장 5
 
6.7%
Other values (5) 25
33.3%

Length

2023-12-12T14:28:39.766473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
지체 5
 
6.7%
시각 5
 
6.7%
청각 5
 
6.7%
언어 5
 
6.7%
지적 5
 
6.7%
뇌병변 5
 
6.7%
자폐성 5
 
6.7%
정신 5
 
6.7%
신장 5
 
6.7%
심장 5
 
6.7%
Other values (5) 25
33.3%

심한 장애(남성)
Real number (ℝ)

HIGH CORRELATION 

Distinct60
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean222.58667
Minimum1
Maximum1145
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-12T14:28:39.927008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.7
Q19
median107
Q3305
95-th percentile788.5
Maximum1145
Range1144
Interquartile range (IQR)296

Descriptive statistics

Standard deviation281.73704
Coefficient of variation (CV)1.2657409
Kurtosis1.9515965
Mean222.58667
Median Absolute Deviation (MAD)102
Skewness1.5748825
Sum16694
Variance79375.759
MonotonicityNot monotonic
2023-12-12T14:28:40.137087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 5
 
6.7%
4 3
 
4.0%
42 2
 
2.7%
288 2
 
2.7%
65 2
 
2.7%
2 2
 
2.7%
9 2
 
2.7%
7 2
 
2.7%
8 2
 
2.7%
1 2
 
2.7%
Other values (50) 51
68.0%
ValueCountFrequency (%)
1 2
 
2.7%
2 2
 
2.7%
3 1
 
1.3%
4 3
4.0%
5 5
6.7%
6 1
 
1.3%
7 2
 
2.7%
8 2
 
2.7%
9 2
 
2.7%
11 2
 
2.7%
ValueCountFrequency (%)
1145 1
1.3%
1137 1
1.3%
858 1
1.3%
827 1
1.3%
772 1
1.3%
751 1
1.3%
745 1
1.3%
701 1
1.3%
659 1
1.3%
640 1
1.3%

심한 장애(여성)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct55
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152.13333
Minimum0
Maximum779
Zeros3
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-12T14:28:40.347462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median31
Q3261.5
95-th percentile546.5
Maximum779
Range779
Interquartile range (IQR)253.5

Descriptive statistics

Standard deviation190.11869
Coefficient of variation (CV)1.2496847
Kurtosis0.82420381
Mean152.13333
Median Absolute Deviation (MAD)31
Skewness1.2633322
Sum11410
Variance36145.117
MonotonicityNot monotonic
2023-12-12T14:28:40.559542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 4
 
5.3%
3 4
 
5.3%
1 3
 
4.0%
0 3
 
4.0%
9 3
 
4.0%
347 3
 
4.0%
5 3
 
4.0%
2 3
 
4.0%
25 2
 
2.7%
15 2
 
2.7%
Other values (45) 45
60.0%
ValueCountFrequency (%)
0 3
4.0%
1 3
4.0%
2 3
4.0%
3 4
5.3%
4 1
 
1.3%
5 3
4.0%
7 1
 
1.3%
8 4
5.3%
9 3
4.0%
11 1
 
1.3%
ValueCountFrequency (%)
779 1
1.3%
592 1
1.3%
586 1
1.3%
585 1
1.3%
530 1
1.3%
507 1
1.3%
483 1
1.3%
435 1
1.3%
406 1
1.3%
404 1
1.3%

심하지 않은 장애(남성)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct50
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean338.01333
Minimum0
Maximum4152
Zeros14
Zeros (%)18.7%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-12T14:28:40.866085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median32
Q3256.5
95-th percentile2330.6
Maximum4152
Range4152
Interquartile range (IQR)254.5

Descriptive statistics

Standard deviation769.39006
Coefficient of variation (CV)2.2762122
Kurtosis10.852296
Mean338.01333
Median Absolute Deviation (MAD)32
Skewness3.2243046
Sum25351
Variance591961.07
MonotonicityNot monotonic
2023-12-12T14:28:41.019563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14
 
18.7%
2 4
 
5.3%
5 3
 
4.0%
42 2
 
2.7%
47 2
 
2.7%
36 2
 
2.7%
3 2
 
2.7%
4 2
 
2.7%
1 2
 
2.7%
16 2
 
2.7%
Other values (40) 40
53.3%
ValueCountFrequency (%)
0 14
18.7%
1 2
 
2.7%
2 4
 
5.3%
3 2
 
2.7%
4 2
 
2.7%
5 3
 
4.0%
6 1
 
1.3%
7 1
 
1.3%
8 1
 
1.3%
16 2
 
2.7%
ValueCountFrequency (%)
4152 1
1.3%
2969 1
1.3%
2809 1
1.3%
2514 1
1.3%
2252 1
1.3%
1229 1
1.3%
988 1
1.3%
891 1
1.3%
856 1
1.3%
670 1
1.3%

심하지 않은 장애(여성)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct42
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean246.68
Minimum0
Maximum3069
Zeros13
Zeros (%)17.3%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-12T14:28:41.162177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median16
Q3180
95-th percentile1610.8
Maximum3069
Range3069
Interquartile range (IQR)179

Descriptive statistics

Standard deviation572.46003
Coefficient of variation (CV)2.3206585
Kurtosis10.690794
Mean246.68
Median Absolute Deviation (MAD)16
Skewness3.1985142
Sum18501
Variance327710.49
MonotonicityNot monotonic
2023-12-12T14:28:41.315802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 13
 
17.3%
1 9
 
12.0%
2 5
 
6.7%
16 3
 
4.0%
30 2
 
2.7%
60 2
 
2.7%
3 2
 
2.7%
33 2
 
2.7%
12 2
 
2.7%
13 2
 
2.7%
Other values (32) 33
44.0%
ValueCountFrequency (%)
0 13
17.3%
1 9
12.0%
2 5
 
6.7%
3 2
 
2.7%
5 1
 
1.3%
10 1
 
1.3%
12 2
 
2.7%
13 2
 
2.7%
15 1
 
1.3%
16 3
 
4.0%
ValueCountFrequency (%)
3069 1
1.3%
2209 1
1.3%
2176 1
1.3%
1783 1
1.3%
1537 1
1.3%
1047 1
1.3%
764 1
1.3%
746 1
1.3%
667 1
1.3%
590 1
1.3%

Interactions

2023-12-12T14:28:38.853856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:28:37.687708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:28:37.973567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:28:38.277819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:28:38.941336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:28:37.761599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:28:38.048430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:28:38.352112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:28:39.087639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:28:37.836810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:28:38.130610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:28:38.429909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:28:39.178898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:28:37.903104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:28:38.201973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:28:38.501919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:28:41.431155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구장애유형심한 장애(남성)심한 장애(여성)심하지 않은 장애(남성)심하지 않은 장애(여성)
시군구1.0000.0000.0000.0000.0000.000
장애유형0.0001.0000.6930.7600.7340.708
심한 장애(남성)0.0000.6931.0000.9240.7540.658
심한 장애(여성)0.0000.7600.9241.0000.7450.690
심하지 않은 장애(남성)0.0000.7340.7540.7451.0000.989
심하지 않은 장애(여성)0.0000.7080.6580.6900.9891.000
2023-12-12T14:28:41.553970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장애유형시군구
장애유형1.0000.000
시군구0.0001.000
2023-12-12T14:28:41.662274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
심한 장애(남성)심한 장애(여성)심하지 않은 장애(남성)심하지 않은 장애(여성)시군구장애유형
심한 장애(남성)1.0000.9650.1600.2020.0000.348
심한 장애(여성)0.9651.0000.1990.2430.0000.413
심하지 않은 장애(남성)0.1600.1991.0000.9720.0000.415
심하지 않은 장애(여성)0.2020.2430.9721.0000.0000.390
시군구0.0000.0000.0000.0001.0000.000
장애유형0.3480.4130.4150.3900.0001.000

Missing values

2023-12-12T14:28:39.284973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:28:39.391926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

시군구장애유형심한 장애(남성)심한 장애(여성)심하지 않은 장애(남성)심하지 않은 장애(여성)
0동구지체85840629692176
1동구시각178130666390
2동구청각247200856764
3동구언어48153616
4동구지적82759200
5동구뇌병변470347344198
6동구자폐성1482700
7동구정신34534722
8동구신장2481788138
9동구심장8850
시군구장애유형심한 장애(남성)심한 장애(여성)심하지 않은 장애(남성)심하지 않은 장애(여성)
65대덕구뇌병변327275229162
66대덕구자폐성961300
67대덕구정신22424122
68대덕구신장1851354737
69대덕구심장4821
70대덕구호흡기37901
71대덕구간413218
72대덕구안면5441
73대덕구장루.요루724219
74대덕구뇌전증591912