Overview

Dataset statistics

Number of variables7
Number of observations31
Missing cells5
Missing cells (%)2.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory62.3 B

Variable types

Numeric2
Categorical2
Text3

Dataset

Description대전광역시 중구 장애인 복지시설(연번, 시설종류, 시설유형, 시설명, 정원, 소재지 도로명 주소, 전화번호) 현황 정보를 제공합니다.
Author대전광역시 중구
URLhttps://www.data.go.kr/data/3033825/fileData.do

Alerts

연번 is highly overall correlated with 시설종류 and 1 other fieldsHigh correlation
정원 is highly overall correlated with 시설종류 and 1 other fieldsHigh correlation
시설종류 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
시설유형 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
연번 has 1 (3.2%) missing valuesMissing
시설명 has 1 (3.2%) missing valuesMissing
정원 has 1 (3.2%) missing valuesMissing
소재지 도로명주소 has 1 (3.2%) missing valuesMissing
전화번호 has 1 (3.2%) missing valuesMissing
정원 has 5 (16.1%) zerosZeros

Reproduction

Analysis started2023-12-12 06:42:26.347490
Analysis finished2023-12-12 06:42:27.784588
Duration1.44 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct30
Distinct (%)100.0%
Missing1
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean15.5
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T15:42:27.863615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.45
Q18.25
median15.5
Q322.75
95-th percentile28.55
Maximum30
Range29
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation8.8034084
Coefficient of variation (CV)0.56796183
Kurtosis-1.2
Mean15.5
Median Absolute Deviation (MAD)7.5
Skewness0
Sum465
Variance77.5
MonotonicityStrictly increasing
2023-12-12T15:42:28.021042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 1
 
3.2%
17 1
 
3.2%
30 1
 
3.2%
29 1
 
3.2%
28 1
 
3.2%
27 1
 
3.2%
26 1
 
3.2%
25 1
 
3.2%
24 1
 
3.2%
23 1
 
3.2%
Other values (20) 20
64.5%
ValueCountFrequency (%)
1 1
3.2%
2 1
3.2%
3 1
3.2%
4 1
3.2%
5 1
3.2%
6 1
3.2%
7 1
3.2%
8 1
3.2%
9 1
3.2%
10 1
3.2%
ValueCountFrequency (%)
30 1
3.2%
29 1
3.2%
28 1
3.2%
27 1
3.2%
26 1
3.2%
25 1
3.2%
24 1
3.2%
23 1
3.2%
22 1
3.2%
21 1
3.2%

시설종류
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
장애인거주시설
13 
장애인지역사회재활시설
13 
장애인직업재활시설
4 
<NA>
 
1

Length

Max length11
Median length9
Mean length8.8387097
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
장애인거주시설 13
41.9%
장애인지역사회재활시설 13
41.9%
장애인직업재활시설 4
 
12.9%
<NA> 1
 
3.2%

Length

2023-12-12T15:42:28.196004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:42:28.358662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장애인거주시설 13
41.9%
장애인지역사회재활시설 13
41.9%
장애인직업재활시설 4
 
12.9%
na 1
 
3.2%

시설유형
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)38.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
장애인주간보호시설
8 
장애인공동생활가정
6 
장애인단기거주시설
4 
장애인보호작업장
3 
중증장애인거주시설
2 
Other values (7)
8 

Length

Max length11
Median length9
Mean length8.6451613
Min length4

Unique

Unique6 ?
Unique (%)19.4%

Sample

1st row중증장애인거주시설
2nd row중증장애인거주시설
3rd row장애유형별거주시설
4th row장애인단기거주시설
5th row장애인단기거주시설

Common Values

ValueCountFrequency (%)
장애인주간보호시설 8
25.8%
장애인공동생활가정 6
19.4%
장애인단기거주시설 4
12.9%
장애인보호작업장 3
 
9.7%
중증장애인거주시설 2
 
6.5%
장애인재활치료시설 2
 
6.5%
장애유형별거주시설 1
 
3.2%
장애인생활이동지원센터 1
 
3.2%
장애인수어통역센터 1
 
3.2%
점자도서관 1
 
3.2%
Other values (2) 2
 
6.5%

Length

2023-12-12T15:42:28.504116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
장애인주간보호시설 8
25.8%
장애인공동생활가정 6
19.4%
장애인단기거주시설 4
12.9%
장애인보호작업장 3
 
9.7%
중증장애인거주시설 2
 
6.5%
장애인재활치료시설 2
 
6.5%
장애유형별거주시설 1
 
3.2%
장애인생활이동지원센터 1
 
3.2%
장애인수어통역센터 1
 
3.2%
점자도서관 1
 
3.2%
Other values (2) 2
 
6.5%

시설명
Text

MISSING 

Distinct30
Distinct (%)100.0%
Missing1
Missing (%)3.2%
Memory size380.0 B
2023-12-12T15:42:28.713187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length8.3333333
Min length2

Characters and Unicode

Total characters250
Distinct characters99
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

Unique30 ?
Unique (%)100.0%

Sample

1st row우리사랑
2nd row축복의집
3rd row은혜의집
4th row밀알단기보호센터
5th row대전태화단기보호센터
ValueCountFrequency (%)
우리사랑 1
 
3.1%
축복의집 1
 
3.1%
돌청장애인보호작업장 1
 
3.1%
호두나무장애인보호작업장 1
 
3.1%
밀알드림센터 1
 
3.1%
대전점자도서관 1
 
3.1%
수어통역센터 1
 
3.1%
중구 1
 
3.1%
대전시 1
 
3.1%
대전광역시장애인생활이동지원센터 1
 
3.1%
Other values (22) 22
68.8%
2023-12-12T15:42:29.159941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 16
 
6.4%
센 15
 
6.0%
호 14
 
5.6%
보 13
 
5.2%
장 10
 
4.0%
주 8
 
3.2%
간 8
 
3.2%
애 7
 
2.8%
인 7
 
2.8%
대 5
 
2.0%
Other values (89) 147
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 248
99.2%
Space Separator 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 16
 
6.5%
센 15
 
6.0%
호 14
 
5.6%
보 13
 
5.2%
장 10
 
4.0%
주 8
 
3.2%
간 8
 
3.2%
애 7
 
2.8%
인 7
 
2.8%
대 5
 
2.0%
Other values (88) 145
58.5%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 248
99.2%
Common 2
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 16
 
6.5%
센 15
 
6.0%
호 14
 
5.6%
보 13
 
5.2%
장 10
 
4.0%
주 8
 
3.2%
간 8
 
3.2%
애 7
 
2.8%
인 7
 
2.8%
대 5
 
2.0%
Other values (88) 145
58.5%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 248
99.2%
ASCII 2
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 16
 
6.5%
센 15
 
6.0%
호 14
 
5.6%
보 13
 
5.2%
장 10
 
4.0%
주 8
 
3.2%
간 8
 
3.2%
애 7
 
2.8%
인 7
 
2.8%
대 5
 
2.0%
Other values (88) 145
58.5%
ASCII
ValueCountFrequency (%)
2
100.0%

정원
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct12
Distinct (%)40.0%
Missing1
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean14.3
Minimum0
Maximum50
Zeros5
Zeros (%)16.1%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T15:42:29.288656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median10
Q320
95-th percentile37.75
Maximum50
Range50
Interquartile range (IQR)16

Descriptive statistics

Standard deviation13.447599
Coefficient of variation (CV)0.94039157
Kurtosis0.35186575
Mean14.3
Median Absolute Deviation (MAD)6
Skewness1.0299388
Sum429
Variance180.83793
MonotonicityNot monotonic
2023-12-12T15:42:29.424308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
4 6
19.4%
0 5
16.1%
10 4
12.9%
15 4
12.9%
30 2
 
6.5%
20 2
 
6.5%
35 2
 
6.5%
40 1
 
3.2%
25 1
 
3.2%
12 1
 
3.2%
Other values (2) 2
 
6.5%
ValueCountFrequency (%)
0 5
16.1%
4 6
19.4%
8 1
 
3.2%
10 4
12.9%
12 1
 
3.2%
15 4
12.9%
20 2
 
6.5%
25 1
 
3.2%
30 2
 
6.5%
35 2
 
6.5%
ValueCountFrequency (%)
50 1
 
3.2%
40 1
 
3.2%
35 2
6.5%
30 2
6.5%
25 1
 
3.2%
20 2
6.5%
15 4
12.9%
12 1
 
3.2%
10 4
12.9%
8 1
 
3.2%

소재지 도로명주소
Text

MISSING 

Distinct28
Distinct (%)93.3%
Missing1
Missing (%)3.2%
Memory size380.0 B
2023-12-12T15:42:29.698718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length30.5
Mean length26.266667
Min length21

Characters and Unicode

Total characters788
Distinct characters83
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)86.7%

Sample

1st row대전광역시 중구 단재로 426-42(어남동)
2nd row대전광역시 중구 단재로 471(어남동)
3rd row대전광역시 중구 단재로 471(어남동)
4th row대전광역시 중구 뿌리공원로3번길50(안영동)
5th row대전광역시 중구 보문산로 333번길 29(문화동)
ValueCountFrequency (%)
대전광역시 30
20.3%
중구 30
20.3%
단재로 3
 
2.0%
석교동 2
 
1.4%
대둔산로 2
 
1.4%
유등천동로 2
 
1.4%
59 2
 
1.4%
돌다리로 2
 
1.4%
36 2
 
1.4%
모암로 2
 
1.4%
Other values (64) 71
48.0%
2023-12-12T15:42:30.120984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
118
 
15.0%
동 35
 
4.4%
대 34
 
4.3%
중 31
 
3.9%
로 30
 
3.8%
전 30
 
3.8%
) 30
 
3.8%
( 30
 
3.8%
광 30
 
3.8%
구 30
 
3.8%
Other values (73) 390
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 467
59.3%
Decimal Number 125
 
15.9%
Space Separator 118
 
15.0%
Close Punctuation 30
 
3.8%
Open Punctuation 30
 
3.8%
Other Punctuation 14
 
1.8%
Dash Punctuation 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 35
 
7.5%
대 34
 
7.3%
중 31
 
6.6%
로 30
 
6.4%
전 30
 
6.4%
광 30
 
6.4%
구 30
 
6.4%
시 30
 
6.4%
역 30
 
6.4%
번 15
 
3.2%
Other values (58) 172
36.8%
Decimal Number
ValueCountFrequency (%)
2 24
19.2%
3 19
15.2%
4 17
13.6%
1 15
12.0%
7 10
8.0%
5 10
8.0%
6 10
8.0%
9 8
 
6.4%
0 8
 
6.4%
8 4
 
3.2%
Space Separator
ValueCountFrequency (%)
118
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 467
59.3%
Common 321
40.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 35
 
7.5%
대 34
 
7.3%
중 31
 
6.6%
로 30
 
6.4%
전 30
 
6.4%
광 30
 
6.4%
구 30
 
6.4%
시 30
 
6.4%
역 30
 
6.4%
번 15
 
3.2%
Other values (58) 172
36.8%
Common
ValueCountFrequency (%)
118
36.8%
) 30
 
9.3%
( 30
 
9.3%
2 24
 
7.5%
3 19
 
5.9%
4 17
 
5.3%
1 15
 
4.7%
, 14
 
4.4%
7 10
 
3.1%
5 10
 
3.1%
Other values (5) 34
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 467
59.3%
ASCII 321
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
118
36.8%
) 30
 
9.3%
( 30
 
9.3%
2 24
 
7.5%
3 19
 
5.9%
4 17
 
5.3%
1 15
 
4.7%
, 14
 
4.4%
7 10
 
3.1%
5 10
 
3.1%
Other values (5) 34
 
10.6%
Hangul
ValueCountFrequency (%)
동 35
 
7.5%
대 34
 
7.3%
중 31
 
6.6%
로 30
 
6.4%
전 30
 
6.4%
광 30
 
6.4%
구 30
 
6.4%
시 30
 
6.4%
역 30
 
6.4%
번 15
 
3.2%
Other values (58) 172
36.8%

전화번호
Text

MISSING 

Distinct29
Distinct (%)96.7%
Missing1
Missing (%)3.2%
Memory size380.0 B
2023-12-12T15:42:30.334963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.1
Min length12

Characters and Unicode

Total characters363
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)93.3%

Sample

1st row042-285-0002
2nd row042-271-2113
3rd row042-271-2113
4th row042-226-0813
5th row042-586-1560
ValueCountFrequency (%)
042-271-2113 2
 
6.7%
042-221-8005 1
 
3.3%
042-272-1006 1
 
3.3%
070-7806-4557 1
 
3.3%
042-586-0813 1
 
3.3%
042-252-0055 1
 
3.3%
042-581-0143 1
 
3.3%
042-226-8038 1
 
3.3%
042-223-2911 1
 
3.3%
070-4119-0811 1
 
3.3%
Other values (19) 19
63.3%
2023-12-12T15:42:30.680674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 61
16.8%
- 60
16.5%
2 58
16.0%
4 38
10.5%
5 32
8.8%
1 29
8.0%
8 26
7.2%
7 21
 
5.8%
3 17
 
4.7%
6 12
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 303
83.5%
Dash Punctuation 60
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 61
20.1%
2 58
19.1%
4 38
12.5%
5 32
10.6%
1 29
9.6%
8 26
8.6%
7 21
 
6.9%
3 17
 
5.6%
6 12
 
4.0%
9 9
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 363
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 61
16.8%
- 60
16.5%
2 58
16.0%
4 38
10.5%
5 32
8.8%
1 29
8.0%
8 26
7.2%
7 21
 
5.8%
3 17
 
4.7%
6 12
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 363
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 61
16.8%
- 60
16.5%
2 58
16.0%
4 38
10.5%
5 32
8.8%
1 29
8.0%
8 26
7.2%
7 21
 
5.8%
3 17
 
4.7%
6 12
 
3.3%

Interactions

2023-12-12T15:42:27.222240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:42:26.736629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:42:27.307157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:42:27.135765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:42:30.774198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설종류시설유형시설명정원소재지 도로명주소전화번호
연번1.0000.9140.8881.0000.6410.9631.000
시설종류0.9141.0001.0001.0000.7970.9181.000
시설유형0.8881.0001.0001.0000.7460.5960.000
시설명1.0001.0001.0001.0001.0001.0001.000
정원0.6410.7970.7461.0001.0001.0001.000
소재지 도로명주소0.9630.9180.5961.0001.0001.0001.000
전화번호1.0001.0000.0001.0001.0001.0001.000
2023-12-12T15:42:30.895008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설종류시설유형
시설종류1.0000.839
시설유형0.8391.000
2023-12-12T15:42:31.009564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번정원시설종류시설유형
연번1.000-0.1130.7540.625
정원-0.1131.0000.6050.550
시설종류0.7540.6051.0000.839
시설유형0.6250.5500.8391.000

Missing values

2023-12-12T15:42:27.435105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:42:27.571684image/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.
2023-12-12T15:42:27.689335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번시설종류시설유형시설명정원소재지 도로명주소전화번호
01장애인거주시설중증장애인거주시설우리사랑40대전광역시 중구 단재로 426-42(어남동)042-285-0002
12장애인거주시설중증장애인거주시설축복의집30대전광역시 중구 단재로 471(어남동)042-271-2113
23장애인거주시설장애유형별거주시설은혜의집30대전광역시 중구 단재로 471(어남동)042-271-2113
34장애인거주시설장애인단기거주시설밀알단기보호센터20대전광역시 중구 뿌리공원로3번길50(안영동)042-226-0813
45장애인거주시설장애인단기거주시설대전태화단기보호센터10대전광역시 중구 보문산로 333번길 29(문화동)042-586-1560
56장애인거주시설장애인단기거주시설징검다리10대전광역시 중구 문화로 34-16(산성동)042-584-5035
67장애인거주시설장애인단기거주시설시온마을10대전광역시 중구 모암로 59, 2층(옥계동)042-531-9423
78장애인거주시설장애인공동생활가정좋은친구들4대전광역시 중구 봉소루로 24번길 22(석교동)042-282-6040
89장애인거주시설장애인공동생활가정베데스다4대전광역시 중구 유등천동로 568-8(태평동)042-531-7575
910장애인거주시설장애인공동생활가정쉴만한물가4대전광역시 중구 부용로 72번길 1, 1층(부사동)042-257-8004
연번시설종류시설유형시설명정원소재지 도로명주소전화번호
2122장애인지역사회재활시설장애인재활치료시설우리동네아동발달센터0대전광역시 중구 평촌로 58, 402호(유천동, 동양빌딩)070-4119-0811
2223장애인지역사회재활시설장애인재활치료시설크로바아동청소년발달센터0대전광역시 중구 계룡로 769, 2층(용두동)042-223-2911
2324장애인지역사회재활시설장애인생활이동지원센터대전광역시장애인생활이동지원센터0대전광역시 중구 보문산로44, 402호(산성동)042-226-8038
2425장애인지역사회재활시설장애인수어통역센터대전시 중구 수어통역센터0대전광역시 중구 중앙로 13번길 39(용두동)042-581-0143
2526장애인지역사회재활시설점자도서관대전점자도서관0대전광역시 중구 서문로 10(문화동, 한밭도서관 별관)042-252-0055
2627장애인직업재활시설장애인근로사업장밀알드림센터50대전광역시 중구 대둔산로 200번길 38(안영동)042-586-0813
2728장애인직업재활시설장애인보호작업장호두나무장애인보호작업장35대전광역시 중구 산서로50번길 39 (사정동)070-7806-4557
2829장애인직업재활시설장애인보호작업장돌청장애인보호작업장35대전광역시 중구 돌다리로 36 (석교동)042-272-1006
2930장애인직업재활시설장애인보호작업장행복나래보호작업장20대전광역시 중구 유천로 27-21 (유천동)042-721-1011
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