Overview

Dataset statistics

Number of variables8
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory75.7 B

Variable types

Text1
Categorical1
Numeric6

Dataset

Description인천광역시 서구의 동별 언어 장애인 현황에 관한 데이터입니다. 관내 동별 장애인 수, 장애정도별 장애인 수에 대한 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15120985/fileData.do

Alerts

장애유형 has constant value ""Constant
등록장애인수_남성 is highly overall correlated with 등록장애인수_여성 and 3 other fieldsHigh correlation
등록장애인수_여성 is highly overall correlated with 등록장애인수_남성 and 3 other fieldsHigh correlation
심한 장애_남성 is highly overall correlated with 등록장애인수_남성 and 2 other fieldsHigh correlation
심한 장애_여성 is highly overall correlated with 등록장애인수_여성High correlation
심하지 않은 장애_남성 is highly overall correlated with 등록장애인수_남성High correlation
심하지 않은 장애_여성 is highly overall correlated with 등록장애인수_남성 and 2 other fieldsHigh correlation
읍면동 has unique valuesUnique
등록장애인수_여성 has 2 (8.7%) zerosZeros
심한 장애_남성 has 1 (4.3%) zerosZeros
심한 장애_여성 has 5 (21.7%) zerosZeros
심하지 않은 장애_남성 has 2 (8.7%) zerosZeros
심하지 않은 장애_여성 has 8 (34.8%) zerosZeros

Reproduction

Analysis started2023-12-12 15:58:19.571158
Analysis finished2023-12-12 15:58:24.119982
Duration4.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

읍면동
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T00:58:24.260730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.9130435
Min length3

Characters and Unicode

Total characters90
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

Unique23 ?
Unique (%)100.0%

Sample

1st row검암경서동
2nd row연희동
3rd row청라1동
4th row청라2동
5th row청라3동
ValueCountFrequency (%)
검암경서동 1
 
4.3%
가좌1동 1
 
4.3%
마전동 1
 
4.3%
오류왕길동 1
 
4.3%
당하동 1
 
4.3%
원당동 1
 
4.3%
불로대곡동 1
 
4.3%
검단동 1
 
4.3%
가좌4동 1
 
4.3%
가좌3동 1
 
4.3%
Other values (13) 13
56.5%
2023-12-13T00:58:24.610359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 23
25.6%
가 7
 
7.8%
좌 4
 
4.4%
라 4
 
4.4%
1 4
 
4.4%
2 4
 
4.4%
3 4
 
4.4%
정 3
 
3.3%
남 3
 
3.3%
석 3
 
3.3%
Other values (26) 31
34.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 77
85.6%
Decimal Number 13
 
14.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 23
29.9%
가 7
 
9.1%
좌 4
 
5.2%
라 4
 
5.2%
정 3
 
3.9%
남 3
 
3.9%
석 3
 
3.9%
청 3
 
3.9%
검 2
 
2.6%
당 2
 
2.6%
Other values (22) 23
29.9%
Decimal Number
ValueCountFrequency (%)
1 4
30.8%
2 4
30.8%
3 4
30.8%
4 1
 
7.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 77
85.6%
Common 13
 
14.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 23
29.9%
가 7
 
9.1%
좌 4
 
5.2%
라 4
 
5.2%
정 3
 
3.9%
남 3
 
3.9%
석 3
 
3.9%
청 3
 
3.9%
검 2
 
2.6%
당 2
 
2.6%
Other values (22) 23
29.9%
Common
ValueCountFrequency (%)
1 4
30.8%
2 4
30.8%
3 4
30.8%
4 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 77
85.6%
ASCII 13
 
14.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 23
29.9%
가 7
 
9.1%
좌 4
 
5.2%
라 4
 
5.2%
정 3
 
3.9%
남 3
 
3.9%
석 3
 
3.9%
청 3
 
3.9%
검 2
 
2.6%
당 2
 
2.6%
Other values (22) 23
29.9%
ASCII
ValueCountFrequency (%)
1 4
30.8%
2 4
30.8%
3 4
30.8%
4 1
 
7.7%

장애유형
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
언어
23 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
언어 23
100.0%

Length

2023-12-13T00:58:24.737136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:58:24.817156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
언어 23
100.0%

등록장애인수_남성
Real number (ℝ)

HIGH CORRELATION 

Distinct14
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.3478261
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-13T00:58:24.897818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q15
median8
Q310.5
95-th percentile15.8
Maximum23
Range22
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation5.0146032
Coefficient of variation (CV)0.60070767
Kurtosis1.9462168
Mean8.3478261
Median Absolute Deviation (MAD)3
Skewness1.1535089
Sum192
Variance25.146245
MonotonicityNot monotonic
2023-12-13T00:58:25.005787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
5 5
21.7%
9 3
13.0%
10 2
 
8.7%
4 2
 
8.7%
6 2
 
8.7%
13 1
 
4.3%
23 1
 
4.3%
11 1
 
4.3%
16 1
 
4.3%
2 1
 
4.3%
Other values (4) 4
17.4%
ValueCountFrequency (%)
1 1
 
4.3%
2 1
 
4.3%
4 2
 
8.7%
5 5
21.7%
6 2
 
8.7%
8 1
 
4.3%
9 3
13.0%
10 2
 
8.7%
11 1
 
4.3%
12 1
 
4.3%
ValueCountFrequency (%)
23 1
 
4.3%
16 1
 
4.3%
14 1
 
4.3%
13 1
 
4.3%
12 1
 
4.3%
11 1
 
4.3%
10 2
8.7%
9 3
13.0%
8 1
 
4.3%
6 2
8.7%

등록장애인수_여성
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct9
Distinct (%)39.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.826087
Minimum0
Maximum12
Zeros2
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-13T00:58:25.104372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1
Q11
median2
Q36
95-th percentile10.7
Maximum12
Range12
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.3797818
Coefficient of variation (CV)0.88335206
Kurtosis0.38206074
Mean3.826087
Median Absolute Deviation (MAD)2
Skewness0.99192685
Sum88
Variance11.422925
MonotonicityNot monotonic
2023-12-13T00:58:25.205211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 6
26.1%
6 5
21.7%
2 4
17.4%
4 2
 
8.7%
0 2
 
8.7%
11 1
 
4.3%
8 1
 
4.3%
12 1
 
4.3%
5 1
 
4.3%
ValueCountFrequency (%)
0 2
 
8.7%
1 6
26.1%
2 4
17.4%
4 2
 
8.7%
5 1
 
4.3%
6 5
21.7%
8 1
 
4.3%
11 1
 
4.3%
12 1
 
4.3%
ValueCountFrequency (%)
12 1
 
4.3%
11 1
 
4.3%
8 1
 
4.3%
6 5
21.7%
5 1
 
4.3%
4 2
 
8.7%
2 4
17.4%
1 6
26.1%
0 2
 
8.7%

심한 장애_남성
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct9
Distinct (%)39.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6521739
Minimum0
Maximum10
Zeros1
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-13T00:58:25.305386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile8.8
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.5155642
Coefficient of variation (CV)0.68878544
Kurtosis1.0872662
Mean3.6521739
Median Absolute Deviation (MAD)1
Skewness1.1453633
Sum84
Variance6.3280632
MonotonicityNot monotonic
2023-12-13T00:58:25.420859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3 7
30.4%
4 4
17.4%
2 3
13.0%
1 3
13.0%
7 2
 
8.7%
10 1
 
4.3%
5 1
 
4.3%
9 1
 
4.3%
0 1
 
4.3%
ValueCountFrequency (%)
0 1
 
4.3%
1 3
13.0%
2 3
13.0%
3 7
30.4%
4 4
17.4%
5 1
 
4.3%
7 2
 
8.7%
9 1
 
4.3%
10 1
 
4.3%
ValueCountFrequency (%)
10 1
 
4.3%
9 1
 
4.3%
7 2
 
8.7%
5 1
 
4.3%
4 4
17.4%
3 7
30.4%
2 3
13.0%
1 3
13.0%
0 1
 
4.3%

심한 장애_여성
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6956522
Minimum0
Maximum6
Zeros5
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-13T00:58:25.552391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile5.8
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.7171536
Coefficient of variation (CV)1.0126803
Kurtosis1.7923744
Mean1.6956522
Median Absolute Deviation (MAD)1
Skewness1.4638156
Sum39
Variance2.9486166
MonotonicityNot monotonic
2023-12-13T00:58:25.663776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 9
39.1%
0 5
21.7%
2 4
17.4%
6 2
 
8.7%
3 2
 
8.7%
4 1
 
4.3%
ValueCountFrequency (%)
0 5
21.7%
1 9
39.1%
2 4
17.4%
3 2
 
8.7%
4 1
 
4.3%
6 2
 
8.7%
ValueCountFrequency (%)
6 2
 
8.7%
4 1
 
4.3%
3 2
 
8.7%
2 4
17.4%
1 9
39.1%
0 5
21.7%

심하지 않은 장애_남성
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct10
Distinct (%)43.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6956522
Minimum0
Maximum13
Zeros2
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-13T00:58:25.775696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1
Q12.5
median4
Q36
95-th percentile10
Maximum13
Range13
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation3.28128
Coefficient of variation (CV)0.69879111
Kurtosis0.59214039
Mean4.6956522
Median Absolute Deviation (MAD)2
Skewness0.84537571
Sum108
Variance10.766798
MonotonicityNot monotonic
2023-12-13T00:58:25.906793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
5 5
21.7%
4 3
13.0%
3 3
13.0%
2 3
13.0%
10 2
 
8.7%
7 2
 
8.7%
0 2
 
8.7%
13 1
 
4.3%
8 1
 
4.3%
1 1
 
4.3%
ValueCountFrequency (%)
0 2
 
8.7%
1 1
 
4.3%
2 3
13.0%
3 3
13.0%
4 3
13.0%
5 5
21.7%
7 2
 
8.7%
8 1
 
4.3%
10 2
 
8.7%
13 1
 
4.3%
ValueCountFrequency (%)
13 1
 
4.3%
10 2
 
8.7%
8 1
 
4.3%
7 2
 
8.7%
5 5
21.7%
4 3
13.0%
3 3
13.0%
2 3
13.0%
1 1
 
4.3%
0 2
 
8.7%

심하지 않은 장애_여성
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct7
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1304348
Minimum0
Maximum6
Zeros8
Zeros (%)34.8%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-13T00:58:26.011642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q33.5
95-th percentile5.9
Maximum6
Range6
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.0955439
Coefficient of variation (CV)0.98362266
Kurtosis-1.0393259
Mean2.1304348
Median Absolute Deviation (MAD)2
Skewness0.5255554
Sum49
Variance4.3913043
MonotonicityNot monotonic
2023-12-13T00:58:26.406665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 8
34.8%
3 4
17.4%
1 3
 
13.0%
5 2
 
8.7%
2 2
 
8.7%
4 2
 
8.7%
6 2
 
8.7%
ValueCountFrequency (%)
0 8
34.8%
1 3
 
13.0%
2 2
 
8.7%
3 4
17.4%
4 2
 
8.7%
5 2
 
8.7%
6 2
 
8.7%
ValueCountFrequency (%)
6 2
 
8.7%
5 2
 
8.7%
4 2
 
8.7%
3 4
17.4%
2 2
 
8.7%
1 3
 
13.0%
0 8
34.8%

Interactions

2023-12-13T00:58:23.245559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:58:19.830261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:58:20.478176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:58:21.171171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:58:21.767966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:58:22.525691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:58:23.346699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:58:19.914484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:58:20.599205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:58:21.258086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:58:21.862694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:58:22.646066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:58:23.469595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:58:20.027938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:58:20.735549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:58:21.358085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:58:21.957639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:58:22.754792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:58:23.577895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:58:20.123393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:58:20.825916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:58:21.438516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:58:22.076447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:58:22.869362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:58:23.687001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:58:20.228414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:58:20.930095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:58:21.560766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:58:22.183284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:58:22.993555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:58:23.791677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:58:20.354973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:58:21.064877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:58:21.669660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:58:22.382363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:58:23.117191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:58:26.505045image/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_남성1.0001.0000.6750.8340.2040.9360.620
등록장애인수_여성1.0000.6751.0000.3380.7080.7910.882
심한 장애_남성1.0000.8340.3381.0000.0000.5980.645
심한 장애_여성1.0000.2040.7080.0001.0000.3780.604
심하지 않은 장애_남성1.0000.9360.7910.5980.3781.0000.435
심하지 않은 장애_여성1.0000.6200.8820.6450.6040.4351.000
2023-12-13T00:58:26.631033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록장애인수_남성등록장애인수_여성심한 장애_남성심한 장애_여성심하지 않은 장애_남성심하지 않은 장애_여성
등록장애인수_남성1.0000.6440.7460.4390.8820.662
등록장애인수_여성0.6441.0000.6310.7520.4480.922
심한 장애_남성0.7460.6311.0000.4950.4110.600
심한 장애_여성0.4390.7520.4951.0000.2780.482
심하지 않은 장애_남성0.8820.4480.4110.2781.0000.491
심하지 않은 장애_여성0.6620.9220.6000.4820.4911.000

Missing values

2023-12-13T00:58:23.922524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:58:24.064513image/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
0검암경서동언어131136105
1연희동언어238103135
2청라1동언어1063472
3청라2동언어1143183
4청라3동언어965244
5가정1동언어1669274
6가정2동언어400040
7가정3동언어222002
8석남1동언어814140
9석남2동언어522131
읍면동장애유형등록장애인수_남성등록장애인수_여성심한 장애_남성심한 장애_여성심하지 않은 장애_남성심하지 않은 장애_여성
13가좌2동언어513120
14가좌3동언어1067333
15가좌4동언어512130
16검단동언어1247153
17불로대곡동언어121101
18원당동언어553223
19당하동언어423210
20오류왕길동언어601050
21마전동언어513021
22아라동언어14640106