Overview

Dataset statistics

Number of variables5
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory47.1 B

Variable types

Text3
Numeric1
Categorical1

Dataset

Description대전광역시 경로식당 현황에 대한 데이터로 시설별, 소재지, 평균이용자수, 운영회수, 운영주체 등의 항목을 제공합니다.
Author대전광역시
URLhttps://www.data.go.kr/data/15063200/fileData.do

Alerts

1일평균이용자수 is highly overall correlated with 주간운영회수 High correlation
주간운영회수 is highly overall correlated with 1일평균이용자수High correlation
시설별 has unique valuesUnique
소재지 has unique valuesUnique
운영주체 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:29:56.761539
Analysis finished2023-12-12 09:29:57.381297
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설별
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T18:29:57.551042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length8.1923077
Min length4

Characters and Unicode

Total characters213
Distinct characters69
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

Unique26 ?
Unique (%)100.0%

Sample

1st row대전광역시노인복지관
2nd row동구행복한어르신복지관
3rd row생명종합사회복지관
4th row동구정다운어르신복지관
5th row산내종합사회복지관
ValueCountFrequency (%)
대전광역시노인복지관 1
 
3.8%
동구행복한어르신복지관 1
 
3.8%
대덕구노인종합복지관 1
 
3.8%
법동종합사회복지관 1
 
3.8%
중리종합사회복지관 1
 
3.8%
유성구노인복지관 1
 
3.8%
송강사회복지관 1
 
3.8%
둔산종합사회복지관 1
 
3.8%
월평종합사회복지관 1
 
3.8%
한밭종합사회복지관 1
 
3.8%
Other values (16) 16
61.5%
2023-12-12T18:29:58.023012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
복 21
 
9.9%
지 20
 
9.4%
관 20
 
9.4%
회 13
 
6.1%
사 13
 
6.1%
합 12
 
5.6%
종 12
 
5.6%
동 6
 
2.8%
구 5
 
2.3%
인 5
 
2.3%
Other values (59) 86
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 213
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
복 21
 
9.9%
지 20
 
9.4%
관 20
 
9.4%
회 13
 
6.1%
사 13
 
6.1%
합 12
 
5.6%
종 12
 
5.6%
동 6
 
2.8%
구 5
 
2.3%
인 5
 
2.3%
Other values (59) 86
40.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 213
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
복 21
 
9.9%
지 20
 
9.4%
관 20
 
9.4%
회 13
 
6.1%
사 13
 
6.1%
합 12
 
5.6%
종 12
 
5.6%
동 6
 
2.8%
구 5
 
2.3%
인 5
 
2.3%
Other values (59) 86
40.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 213
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
복 21
 
9.9%
지 20
 
9.4%
관 20
 
9.4%
회 13
 
6.1%
사 13
 
6.1%
합 12
 
5.6%
종 12
 
5.6%
동 6
 
2.8%
구 5
 
2.3%
인 5
 
2.3%
Other values (59) 86
40.4%

소재지
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T18:29:58.318163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length23
Mean length16.769231
Min length12

Characters and Unicode

Total characters436
Distinct characters79
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 (%)100.0%

Sample

1st row대전 중구 테미로 26
2nd row대전 동구 동부로 23
3rd row대전 동구 동부로 56-7
4th row대전 동구 충정로 53-30
5th row대전 동구 산내로 1352-25
ValueCountFrequency (%)
대전 25
22.1%
동구 9
 
8.0%
중구 6
 
5.3%
서구 5
 
4.4%
대덕구 4
 
3.5%
11 2
 
1.8%
동부로 2
 
1.8%
유성구 2
 
1.8%
월평북로 2
 
1.8%
대전천서로 2
 
1.8%
Other values (54) 54
47.8%
2023-12-12T18:29:58.737144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
88
20.2%
대 33
 
7.6%
전 29
 
6.7%
구 26
 
6.0%
로 26
 
6.0%
1 18
 
4.1%
2 15
 
3.4%
6 13
 
3.0%
동 13
 
3.0%
5 11
 
2.5%
Other values (69) 164
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 241
55.3%
Decimal Number 98
22.5%
Space Separator 88
 
20.2%
Dash Punctuation 6
 
1.4%
Open Punctuation 1
 
0.2%
Other Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 33
13.7%
전 29
 
12.0%
구 26
 
10.8%
로 26
 
10.8%
동 13
 
5.4%
중 8
 
3.3%
길 8
 
3.3%
번 8
 
3.3%
서 7
 
2.9%
덕 5
 
2.1%
Other values (54) 78
32.4%
Decimal Number
ValueCountFrequency (%)
1 18
18.4%
2 15
15.3%
6 13
13.3%
5 11
11.2%
4 11
11.2%
3 10
10.2%
8 6
 
6.1%
9 5
 
5.1%
7 5
 
5.1%
0 4
 
4.1%
Space Separator
ValueCountFrequency (%)
88
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 241
55.3%
Common 195
44.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 33
13.7%
전 29
 
12.0%
구 26
 
10.8%
로 26
 
10.8%
동 13
 
5.4%
중 8
 
3.3%
길 8
 
3.3%
번 8
 
3.3%
서 7
 
2.9%
덕 5
 
2.1%
Other values (54) 78
32.4%
Common
ValueCountFrequency (%)
88
45.1%
1 18
 
9.2%
2 15
 
7.7%
6 13
 
6.7%
5 11
 
5.6%
4 11
 
5.6%
3 10
 
5.1%
8 6
 
3.1%
- 6
 
3.1%
9 5
 
2.6%
Other values (5) 12
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 241
55.3%
ASCII 195
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
88
45.1%
1 18
 
9.2%
2 15
 
7.7%
6 13
 
6.7%
5 11
 
5.6%
4 11
 
5.6%
3 10
 
5.1%
8 6
 
3.1%
- 6
 
3.1%
9 5
 
2.6%
Other values (5) 12
 
6.2%
Hangul
ValueCountFrequency (%)
대 33
13.7%
전 29
 
12.0%
구 26
 
10.8%
로 26
 
10.8%
동 13
 
5.4%
중 8
 
3.3%
길 8
 
3.3%
번 8
 
3.3%
서 7
 
2.9%
덕 5
 
2.1%
Other values (54) 78
32.4%

1일평균이용자수
Real number (ℝ)

HIGH CORRELATION 

Distinct22
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.80769
Minimum20
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T18:29:58.888258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile36
Q153.75
median105
Q3141
95-th percentile235
Maximum300
Range280
Interquartile range (IQR)87.25

Descriptive statistics

Standard deviation65.72611
Coefficient of variation (CV)0.58784963
Kurtosis1.7272343
Mean111.80769
Median Absolute Deviation (MAD)40
Skewness1.1268674
Sum2907
Variance4319.9215
MonotonicityNot monotonic
2023-12-12T18:29:59.007299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
45 3
 
11.5%
95 2
 
7.7%
100 2
 
7.7%
125 1
 
3.8%
173 1
 
3.8%
65 1
 
3.8%
120 1
 
3.8%
50 1
 
3.8%
49 1
 
3.8%
20 1
 
3.8%
Other values (12) 12
46.2%
ValueCountFrequency (%)
20 1
 
3.8%
33 1
 
3.8%
45 3
11.5%
49 1
 
3.8%
50 1
 
3.8%
65 1
 
3.8%
91 1
 
3.8%
95 2
7.7%
100 2
7.7%
110 1
 
3.8%
ValueCountFrequency (%)
300 1
3.8%
250 1
3.8%
190 1
3.8%
173 1
3.8%
150 1
3.8%
145 1
3.8%
143 1
3.8%
135 1
3.8%
125 1
3.8%
120 1
3.8%

주간운영회수
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
5
20 
6
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row5
3rd row5
4th row5
5th row6

Common Values

ValueCountFrequency (%)
5 20
76.9%
6 6
 
23.1%

Length

2023-12-12T18:29:59.150747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:29:59.238206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 20
76.9%
6 6
 
23.1%

운영주체
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T18:29:59.421755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length8.5
Min length6

Characters and Unicode

Total characters221
Distinct characters72
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

Unique26 ?
Unique (%)100.0%

Sample

1st row대전광역시노인복지관
2nd row동구행복한어르신복지관
3rd row생명종합사회복지관
4th row동구정다운어르신복지관
5th row산내종합사회복지관
ValueCountFrequency (%)
대전광역시노인복지관 1
 
3.8%
동구행복한어르신복지관 1
 
3.8%
대덕구노인종합복지관 1
 
3.8%
법동종합사회복지관 1
 
3.8%
중리종합사회복지관 1
 
3.8%
유성구노인복지관 1
 
3.8%
송강사회복지관 1
 
3.8%
둔산종합사회복지관 1
 
3.8%
월평종합사회복지관 1
 
3.8%
한밭종합사회복지관 1
 
3.8%
Other values (16) 16
61.5%
2023-12-12T18:29:59.837282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
복 22
 
10.0%
지 22
 
10.0%
관 20
 
9.0%
회 15
 
6.8%
사 14
 
6.3%
합 12
 
5.4%
종 12
 
5.4%
대 6
 
2.7%
동 6
 
2.7%
인 5
 
2.3%
Other values (62) 87
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 217
98.2%
Uppercase Letter 4
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
복 22
 
10.1%
지 22
 
10.1%
관 20
 
9.2%
회 15
 
6.9%
사 14
 
6.5%
합 12
 
5.5%
종 12
 
5.5%
대 6
 
2.8%
동 6
 
2.8%
인 5
 
2.3%
Other values (58) 83
38.2%
Uppercase Letter
ValueCountFrequency (%)
C 1
25.0%
A 1
25.0%
Y 1
25.0%
W 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 217
98.2%
Latin 4
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
복 22
 
10.1%
지 22
 
10.1%
관 20
 
9.2%
회 15
 
6.9%
사 14
 
6.5%
합 12
 
5.5%
종 12
 
5.5%
대 6
 
2.8%
동 6
 
2.8%
인 5
 
2.3%
Other values (58) 83
38.2%
Latin
ValueCountFrequency (%)
C 1
25.0%
A 1
25.0%
Y 1
25.0%
W 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 217
98.2%
ASCII 4
 
1.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
복 22
 
10.1%
지 22
 
10.1%
관 20
 
9.2%
회 15
 
6.9%
사 14
 
6.5%
합 12
 
5.5%
종 12
 
5.5%
대 6
 
2.8%
동 6
 
2.8%
인 5
 
2.3%
Other values (58) 83
38.2%
ASCII
ValueCountFrequency (%)
C 1
25.0%
A 1
25.0%
Y 1
25.0%
W 1
25.0%

Interactions

2023-12-12T18:29:57.064625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:30:00.293612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설별소재지1일평균이용자수주간운영회수운영주체
시설별1.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.000
1일평균이용자수1.0001.0001.0000.6191.000
주간운영회수1.0001.0000.6191.0001.000
운영주체1.0001.0001.0001.0001.000
2023-12-12T18:30:00.409448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
1일평균이용자수주간운영회수
1일평균이용자수1.0000.518
주간운영회수0.5181.000

Missing values

2023-12-12T18:29:57.200001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:29:57.319447image/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

시설별소재지1일평균이용자수주간운영회수운영주체
0대전광역시노인복지관대전 중구 테미로 261255대전광역시노인복지관
1동구행복한어르신복지관대전 동구 동부로 231455동구행복한어르신복지관
2생명종합사회복지관대전 동구 동부로 56-71185생명종합사회복지관
3동구정다운어르신복지관대전 동구 충정로 53-301155동구정다운어르신복지관
4산내종합사회복지관대전 동구 산내로 1352-25956산내종합사회복지관
5판암종합사회복지관대전 동구 옥천로 152-9 관리사무소 2층1356판암종합사회복지관
6성모의집대전 동구 대전로 8953005천주교유지재단
7새나루공동체대전 동구 선화로 2262506새나루공동체
8대동종합사회복지관대전 동구 백룡로48번길 79955대동종합사회복지관
9석천들경로무료급식소대전 동구 산내로1257번길 40335석천들아파트경로당
시설별소재지1일평균이용자수주간운영회수운영주체
16서구노인복지관대전 서구 남선로 66205서구노인복지관
17한밭종합사회복지관대전 서구 월평북로 11 주공아파트 1단지455한밭종합사회복지관
18월평종합사회복지관대전 서구 월평북로 11455월평종합사회복지관
19둔산종합사회복지관대전 서구 둔산로 241455둔산종합사회복지관
20송강사회복지관대전 유성구 봉산로 45495송강사회복지관
21유성구노인복지관대전 유성구 가정로 15505유성구노인복지관
22중리종합사회복지관대전 대덕구 계족로663번길 341006중리종합사회복지관
23법동종합사회복지관대전 대덕구 계족로664번길 271006법동종합사회복지관
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