Overview

Dataset statistics

Number of variables3
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory782.0 B
Average record size in memory31.3 B

Variable types

Text1
Numeric2

Dataset

Description서울특별시 자치구별 시각, 청각 중복장애인 현황에 대한 데이터로 자치구, 주장애시각/부장애청각 사람수, 주장애청각/부장애 시각 사람수 등의 항목이 있다.
Author서울특별시
URLhttps://www.data.go.kr/data/15080673/fileData.do

Alerts

주장애 시각, 부장애 청각 장애인수 is highly overall correlated with 주장애 청각, 부장애 시각 장애인수High correlation
주장애 청각, 부장애 시각 장애인수 is highly overall correlated with 주장애 시각, 부장애 청각 장애인수High correlation
자치구 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:24:06.394903
Analysis finished2023-12-12 18:24:06.942097
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자치구
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T03:24:07.083458image/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 row강남구
2nd row강동구
3rd row강북구
4th row강서구
5th row관악구
ValueCountFrequency (%)
강남구 1
 
4.0%
서대문구 1
 
4.0%
중구 1
 
4.0%
종로구 1
 
4.0%
은평구 1
 
4.0%
용산구 1
 
4.0%
영등포구 1
 
4.0%
양천구 1
 
4.0%
송파구 1
 
4.0%
성북구 1
 
4.0%
Other values (15) 15
60.0%
2023-12-13T03:24:07.456842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 26
33.8%
강 4
 
5.2%
동 4
 
5.2%
서 3
 
3.9%
로 2
 
2.6%
중 2
 
2.6%
성 2
 
2.6%
포 2
 
2.6%
대 2
 
2.6%
천 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 (%)
구 26
33.8%
강 4
 
5.2%
동 4
 
5.2%
서 3
 
3.9%
로 2
 
2.6%
중 2
 
2.6%
성 2
 
2.6%
포 2
 
2.6%
대 2
 
2.6%
천 2
 
2.6%
Other values (26) 28
36.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 77
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 26
33.8%
강 4
 
5.2%
동 4
 
5.2%
서 3
 
3.9%
로 2
 
2.6%
중 2
 
2.6%
성 2
 
2.6%
포 2
 
2.6%
대 2
 
2.6%
천 2
 
2.6%
Other values (26) 28
36.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 77
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 26
33.8%
강 4
 
5.2%
동 4
 
5.2%
서 3
 
3.9%
로 2
 
2.6%
중 2
 
2.6%
성 2
 
2.6%
포 2
 
2.6%
대 2
 
2.6%
천 2
 
2.6%
Other values (26) 28
36.4%

주장애 시각, 부장애 청각 장애인수
Real number (ℝ)

HIGH CORRELATION 

Distinct15
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.4
Minimum2
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T03:24:07.601628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile9
Q113
median17
Q320
95-th percentile35.8
Maximum45
Range43
Interquartile range (IQR)7

Descriptive statistics

Standard deviation9.101282
Coefficient of variation (CV)0.49463489
Kurtosis2.5230289
Mean18.4
Median Absolute Deviation (MAD)4
Skewness1.1692262
Sum460
Variance82.833333
MonotonicityNot monotonic
2023-12-13T03:24:07.705465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
17 4
16.0%
9 3
12.0%
19 3
12.0%
20 3
12.0%
13 2
 
8.0%
23 1
 
4.0%
24 1
 
4.0%
45 1
 
4.0%
27 1
 
4.0%
16 1
 
4.0%
Other values (5) 5
20.0%
ValueCountFrequency (%)
2 1
 
4.0%
9 3
12.0%
10 1
 
4.0%
12 1
 
4.0%
13 2
8.0%
16 1
 
4.0%
17 4
16.0%
19 3
12.0%
20 3
12.0%
23 1
 
4.0%
ValueCountFrequency (%)
45 1
 
4.0%
38 1
 
4.0%
27 1
 
4.0%
25 1
 
4.0%
24 1
 
4.0%
23 1
 
4.0%
20 3
12.0%
19 3
12.0%
17 4
16.0%
16 1
 
4.0%

주장애 청각, 부장애 시각 장애인수
Real number (ℝ)

HIGH CORRELATION 

Distinct18
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.88
Minimum13
Maximum76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T03:24:08.119164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile13.4
Q129
median34
Q339
95-th percentile65.6
Maximum76
Range63
Interquartile range (IQR)10

Descriptive statistics

Standard deviation15.12812
Coefficient of variation (CV)0.42163098
Kurtosis1.4227848
Mean35.88
Median Absolute Deviation (MAD)5
Skewness0.96123458
Sum897
Variance228.86
MonotonicityNot monotonic
2023-12-13T03:24:08.253926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
34 3
 
12.0%
30 2
 
8.0%
38 2
 
8.0%
23 2
 
8.0%
13 2
 
8.0%
35 2
 
8.0%
29 1
 
4.0%
15 1
 
4.0%
56 1
 
4.0%
37 1
 
4.0%
Other values (8) 8
32.0%
ValueCountFrequency (%)
13 2
8.0%
15 1
 
4.0%
23 2
8.0%
27 1
 
4.0%
29 1
 
4.0%
30 2
8.0%
33 1
 
4.0%
34 3
12.0%
35 2
8.0%
37 1
 
4.0%
ValueCountFrequency (%)
76 1
4.0%
68 1
4.0%
56 1
4.0%
54 1
4.0%
43 1
4.0%
40 1
4.0%
39 1
4.0%
38 2
8.0%
37 1
4.0%
35 2
8.0%

Interactions

2023-12-13T03:24:06.657189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:24:06.489481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:24:06.743933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:24:06.568469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:24:08.347695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자치구주장애 시각, 부장애 청각 장애인수주장애 청각, 부장애 시각 장애인수
자치구1.0001.0001.000
주장애 시각, 부장애 청각 장애인수1.0001.0000.891
주장애 청각, 부장애 시각 장애인수1.0000.8911.000
2023-12-13T03:24:08.436079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주장애 시각, 부장애 청각 장애인수주장애 청각, 부장애 시각 장애인수
주장애 시각, 부장애 청각 장애인수1.0000.572
주장애 청각, 부장애 시각 장애인수0.5721.000

Missing values

2023-12-13T03:24:06.842346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:24:06.911397image/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

자치구주장애 시각, 부장애 청각 장애인수주장애 청각, 부장애 시각 장애인수
0강남구2329
1강동구1733
2강북구2454
3강서구4576
4관악구2738
5광진구1623
6구로구1743
7금천구939
8노원구3868
9도봉구1740
자치구주장애 시각, 부장애 청각 장애인수주장애 청각, 부장애 시각 장애인수
15성동구1327
16성북구1930
17송파구1935
18양천구2035
19영등포구2037
20용산구1313
21은평구2056
22종로구213
23중구1215
24중랑구2534