Overview

Dataset statistics

Number of variables8
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory75.5 B

Variable types

Text1
Categorical1
Numeric6

Dataset

Description인천광역시 서구의 동별 시각 장애인 현황에 관한 데이터입니다. 관내 동별 장애인 수, 장애정도별 장애인 수에 대한 데이터를 제공합니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15120981&srcSe=7661IVAWM27C61E190

Alerts

장애유형 has constant value ""Constant
등록장애인수_남성 is highly overall correlated with 등록장애인수_여성 and 4 other fieldsHigh correlation
등록장애인수_여성 is highly overall correlated with 등록장애인수_남성 and 4 other fieldsHigh correlation
심한 장애_남성 is highly overall correlated with 등록장애인수_남성 and 4 other fieldsHigh correlation
심한 장애_여성 is highly overall correlated with 등록장애인수_남성 and 4 other fieldsHigh correlation
심하지 않은 장애_남성 is highly overall correlated with 등록장애인수_남성 and 4 other fieldsHigh correlation
심하지 않은 장애_여성 is highly overall correlated with 등록장애인수_남성 and 4 other fieldsHigh correlation
읍면동 has unique valuesUnique
등록장애인수_여성 has 1 (4.2%) zerosZeros
심한 장애_남성 has 1 (4.2%) zerosZeros
심한 장애_여성 has 1 (4.2%) zerosZeros
심하지 않은 장애_여성 has 1 (4.2%) zerosZeros

Reproduction

Analysis started2024-01-28 16:19:42.186161
Analysis finished2024-01-28 16:19:44.897577
Duration2.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

읍면동
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-01-29T01:19:45.004710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.9166667
Min length3

Characters and Unicode

Total characters94
Distinct characters36
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row검암경서동
2nd row연희동
3rd row청라1동
4th row청라2동
5th row청라3동
ValueCountFrequency (%)
검암경서동 1
 
4.2%
연희동 1
 
4.2%
마전동 1
 
4.2%
오류왕길동 1
 
4.2%
당하동 1
 
4.2%
원당동 1
 
4.2%
불로대곡동 1
 
4.2%
검단동 1
 
4.2%
검단4동 1
 
4.2%
가좌4동 1
 
4.2%
Other values (14) 14
58.3%
2024-01-29T01:19:45.291819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 24
25.5%
가 7
 
7.4%
좌 4
 
4.3%
라 4
 
4.3%
1 4
 
4.3%
2 4
 
4.3%
3 4
 
4.3%
검 3
 
3.2%
남 3
 
3.2%
청 3
 
3.2%
Other values (26) 34
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 80
85.1%
Decimal Number 14
 
14.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 24
30.0%
가 7
 
8.8%
좌 4
 
5.0%
라 4
 
5.0%
검 3
 
3.8%
남 3
 
3.8%
청 3
 
3.8%
정 3
 
3.8%
석 3
 
3.8%
당 2
 
2.5%
Other values (22) 24
30.0%
Decimal Number
ValueCountFrequency (%)
1 4
28.6%
2 4
28.6%
3 4
28.6%
4 2
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 80
85.1%
Common 14
 
14.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 24
30.0%
가 7
 
8.8%
좌 4
 
5.0%
라 4
 
5.0%
검 3
 
3.8%
남 3
 
3.8%
청 3
 
3.8%
정 3
 
3.8%
석 3
 
3.8%
당 2
 
2.5%
Other values (22) 24
30.0%
Common
ValueCountFrequency (%)
1 4
28.6%
2 4
28.6%
3 4
28.6%
4 2
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 80
85.1%
ASCII 14
 
14.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 24
30.0%
가 7
 
8.8%
좌 4
 
5.0%
라 4
 
5.0%
검 3
 
3.8%
남 3
 
3.8%
청 3
 
3.8%
정 3
 
3.8%
석 3
 
3.8%
당 2
 
2.5%
Other values (22) 24
30.0%
ASCII
ValueCountFrequency (%)
1 4
28.6%
2 4
28.6%
3 4
28.6%
4 2
14.3%

장애유형
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
시각
24 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
시각 24
100.0%

Length

2024-01-29T01:19:45.394186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T01:19:45.476326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시각 24
100.0%

등록장애인수_남성
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.75
Minimum1
Maximum122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-01-29T01:19:45.561885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile24.5
Q141.25
median54
Q378.5
95-th percentile117.9
Maximum122
Range121
Interquartile range (IQR)37.25

Descriptive statistics

Standard deviation29.717876
Coefficient of variation (CV)0.49737032
Kurtosis0.14420122
Mean59.75
Median Absolute Deviation (MAD)19.5
Skewness0.49920197
Sum1434
Variance883.15217
MonotonicityNot monotonic
2024-01-29T01:19:45.651625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
49 2
 
8.3%
120 1
 
4.2%
70 1
 
4.2%
78 1
 
4.2%
43 1
 
4.2%
85 1
 
4.2%
53 1
 
4.2%
44 1
 
4.2%
55 1
 
4.2%
106 1
 
4.2%
Other values (13) 13
54.2%
ValueCountFrequency (%)
1 1
4.2%
23 1
4.2%
33 1
4.2%
34 1
4.2%
35 1
4.2%
36 1
4.2%
43 1
4.2%
44 1
4.2%
46 1
4.2%
49 2
8.3%
ValueCountFrequency (%)
122 1
4.2%
120 1
4.2%
106 1
4.2%
85 1
4.2%
84 1
4.2%
80 1
4.2%
78 1
4.2%
74 1
4.2%
70 1
4.2%
58 1
4.2%

등록장애인수_여성
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct18
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.208333
Minimum0
Maximum90
Zeros1
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-01-29T01:19:45.739776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17.15
Q128
median36
Q342
95-th percentile53.85
Maximum90
Range90
Interquartile range (IQR)14

Descriptive statistics

Standard deviation16.950001
Coefficient of variation (CV)0.46812431
Kurtosis3.8638007
Mean36.208333
Median Absolute Deviation (MAD)8
Skewness1.0230605
Sum869
Variance287.30254
MonotonicityNot monotonic
2024-01-29T01:19:45.824326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
28 3
 
12.5%
36 3
 
12.5%
50 2
 
8.3%
38 2
 
8.3%
39 1
 
4.2%
31 1
 
4.2%
25 1
 
4.2%
53 1
 
4.2%
0 1
 
4.2%
17 1
 
4.2%
Other values (8) 8
33.3%
ValueCountFrequency (%)
0 1
 
4.2%
17 1
 
4.2%
18 1
 
4.2%
22 1
 
4.2%
25 1
 
4.2%
28 3
12.5%
29 1
 
4.2%
31 1
 
4.2%
36 3
12.5%
37 1
 
4.2%
ValueCountFrequency (%)
90 1
 
4.2%
54 1
 
4.2%
53 1
 
4.2%
50 2
8.3%
45 1
 
4.2%
41 1
 
4.2%
39 1
 
4.2%
38 2
8.3%
37 1
 
4.2%
36 3
12.5%

심한 장애_남성
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct12
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.75
Minimum0
Maximum14
Zeros1
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-01-29T01:19:45.906740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.15
Q14
median6
Q39.25
95-th percentile14
Maximum14
Range14
Interquartile range (IQR)5.25

Descriptive statistics

Standard deviation4.0886907
Coefficient of variation (CV)0.60573195
Kurtosis-0.703345
Mean6.75
Median Absolute Deviation (MAD)3
Skewness0.32111041
Sum162
Variance16.717391
MonotonicityNot monotonic
2024-01-29T01:19:45.983319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
4 4
16.7%
14 3
12.5%
8 3
12.5%
6 3
12.5%
10 2
8.3%
9 2
8.3%
2 2
8.3%
1 1
 
4.2%
5 1
 
4.2%
3 1
 
4.2%
Other values (2) 2
8.3%
ValueCountFrequency (%)
0 1
 
4.2%
1 1
 
4.2%
2 2
8.3%
3 1
 
4.2%
4 4
16.7%
5 1
 
4.2%
6 3
12.5%
8 3
12.5%
9 2
8.3%
10 2
8.3%
ValueCountFrequency (%)
14 3
12.5%
11 1
 
4.2%
10 2
8.3%
9 2
8.3%
8 3
12.5%
6 3
12.5%
5 1
 
4.2%
4 4
16.7%
3 1
 
4.2%
2 2
8.3%

심한 장애_여성
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct13
Distinct (%)54.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.7916667
Minimum0
Maximum21
Zeros1
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-01-29T01:19:46.069365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.15
Q15.5
median8
Q310
95-th percentile12.7
Maximum21
Range21
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation4.4426702
Coefficient of variation (CV)0.57018228
Kurtosis2.2885752
Mean7.7916667
Median Absolute Deviation (MAD)2
Skewness0.74480711
Sum187
Variance19.737319
MonotonicityNot monotonic
2024-01-29T01:19:46.150268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
10 4
16.7%
11 3
12.5%
8 3
12.5%
7 3
12.5%
4 2
8.3%
6 2
8.3%
21 1
 
4.2%
3 1
 
4.2%
13 1
 
4.2%
1 1
 
4.2%
Other values (3) 3
12.5%
ValueCountFrequency (%)
0 1
 
4.2%
1 1
 
4.2%
2 1
 
4.2%
3 1
 
4.2%
4 2
8.3%
6 2
8.3%
7 3
12.5%
8 3
12.5%
9 1
 
4.2%
10 4
16.7%
ValueCountFrequency (%)
21 1
 
4.2%
13 1
 
4.2%
11 3
12.5%
10 4
16.7%
9 1
 
4.2%
8 3
12.5%
7 3
12.5%
6 2
8.3%
4 2
8.3%
3 1
 
4.2%

심하지 않은 장애_남성
Real number (ℝ)

HIGH CORRELATION 

Distinct22
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53
Minimum1
Maximum110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-01-29T01:19:46.243797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile22.05
Q136.5
median48.5
Q366.5
95-th percentile105.6
Maximum110
Range109
Interquartile range (IQR)30

Descriptive statistics

Standard deviation26.508407
Coefficient of variation (CV)0.50015863
Kurtosis0.2665084
Mean53
Median Absolute Deviation (MAD)17.5
Skewness0.5540803
Sum1272
Variance702.69565
MonotonicityNot monotonic
2024-01-29T01:19:46.605612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
38 2
 
8.3%
66 2
 
8.3%
110 1
 
4.2%
68 1
 
4.2%
37 1
 
4.2%
79 1
 
4.2%
49 1
 
4.2%
51 1
 
4.2%
92 1
 
4.2%
1 1
 
4.2%
Other values (12) 12
50.0%
ValueCountFrequency (%)
1 1
4.2%
21 1
4.2%
28 1
4.2%
30 1
4.2%
31 1
4.2%
35 1
4.2%
37 1
4.2%
38 2
8.3%
44 1
4.2%
46 1
4.2%
ValueCountFrequency (%)
110 1
4.2%
108 1
4.2%
92 1
4.2%
79 1
4.2%
75 1
4.2%
68 1
4.2%
66 2
8.3%
61 1
4.2%
51 1
4.2%
50 1
4.2%

심하지 않은 장애_여성
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct17
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.416667
Minimum0
Maximum69
Zeros1
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-01-29T01:19:46.691944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.9
Q119.5
median29
Q331.75
95-th percentile42.7
Maximum69
Range69
Interquartile range (IQR)12.25

Descriptive statistics

Standard deviation13.197222
Coefficient of variation (CV)0.46441837
Kurtosis3.306545
Mean28.416667
Median Absolute Deviation (MAD)7
Skewness0.83992264
Sum682
Variance174.16667
MonotonicityNot monotonic
2024-01-29T01:19:46.782310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
29 4
16.7%
31 2
 
8.3%
18 2
 
8.3%
17 2
 
8.3%
30 2
 
8.3%
40 1
 
4.2%
28 1
 
4.2%
43 1
 
4.2%
0 1
 
4.2%
11 1
 
4.2%
Other values (7) 7
29.2%
ValueCountFrequency (%)
0 1
 
4.2%
11 1
 
4.2%
17 2
8.3%
18 2
8.3%
20 1
 
4.2%
24 1
 
4.2%
25 1
 
4.2%
28 1
 
4.2%
29 4
16.7%
30 2
8.3%
ValueCountFrequency (%)
69 1
 
4.2%
43 1
 
4.2%
41 1
 
4.2%
40 1
 
4.2%
39 1
 
4.2%
34 1
 
4.2%
31 2
8.3%
30 2
8.3%
29 4
16.7%
28 1
 
4.2%

Interactions

2024-01-29T01:19:44.324879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:19:42.396936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:19:42.789724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:19:43.157830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:19:43.536273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:19:43.908781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:19:44.406042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:19:42.461148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:19:42.850420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:19:43.222775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:19:43.596816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:19:43.985098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:19:44.476464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:19:42.521858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:19:42.904619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:19:43.281045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:19:43.652060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:19:44.050118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:19:44.545183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:19:42.595688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:19:42.966262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:19:43.347395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:19:43.714786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:19:44.123858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:19:44.605482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:19:42.658219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:19:43.023320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:19:43.406625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:19:43.772831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:19:44.188852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:19:44.673198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:19:42.720327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:19:43.094962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:19:43.468813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:19:43.831712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:19:44.247100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-29T01:19:46.865520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동등록장애인수_남성등록장애인수_여성심한 장애_남성심한 장애_여성심하지 않은 장애_남성심하지 않은 장애_여성
읍면동1.0001.0001.0001.0001.0001.0001.000
등록장애인수_남성1.0001.0000.6830.6980.3200.9530.792
등록장애인수_여성1.0000.6831.0000.3060.6800.7060.937
심한 장애_남성1.0000.6980.3061.0000.4420.6150.375
심한 장애_여성1.0000.3200.6800.4421.0000.3550.864
심하지 않은 장애_남성1.0000.9530.7060.6150.3551.0000.775
심하지 않은 장애_여성1.0000.7920.9370.3750.8640.7751.000
2024-01-29T01:19:46.953838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록장애인수_남성등록장애인수_여성심한 장애_남성심한 장애_여성심하지 않은 장애_남성심하지 않은 장애_여성
등록장애인수_남성1.0000.8960.7920.6550.9910.907
등록장애인수_여성0.8961.0000.8290.8080.8650.964
심한 장애_남성0.7920.8291.0000.6800.7370.814
심한 장애_여성0.6550.8080.6801.0000.6260.667
심하지 않은 장애_남성0.9910.8650.7370.6261.0000.881
심하지 않은 장애_여성0.9070.9640.8140.6670.8811.000

Missing values

2024-01-29T01:19:44.768410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T01:19:44.859908image/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

읍면동장애유형등록장애인수_남성등록장애인수_여성심한 장애_남성심한 장애_여성심하지 않은 장애_남성심하지 않은 장애_여성
0검암경서동시각12050101011040
1연희동시각12290142110869
2청라1동시각34294113018
3청라2동시각5637884829
4청라3동시각3628133525
5가정1동시각84549137541
6가정2동시각2318212117
7가정3동시각3322542818
8석남1동시각805014116639
9석남2동시각4928344624
읍면동장애유형등록장애인수_남성등록장애인수_여성심한 장애_남성심한 장애_여성심하지 않은 장애_남성심하지 않은 장애_여성
14가좌3동시각7039996130
15가좌4동시각3517463111
16검단4동시각100010
17검단동시각1065314109243
18불로대곡동시각5536465130
19원당동시각4425683817
20당하동시각53384104928
21오류왕길동시각8538677931
22마전동시각4331623729
23아라동시각78361076829