Overview

Dataset statistics

Number of variables8
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory70.3 B

Variable types

Categorical4
Text2
Numeric1
DateTime1

Dataset

Description제주특별자치도 내의 노인식사배달경로식당과 관련한 데이터로 노인식사배달 및 경로식당의 구분, 읍면동, 운영주체, 대상인원 등의 정보를 제공합니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15056190/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
구분 is highly overall correlated with 운영방법 and 2 other fieldsHigh correlation
지원내역 is highly overall correlated with 구분 and 1 other fieldsHigh correlation
대상인원 is highly overall correlated with 운영방법 and 1 other fieldsHigh correlation
운영방법 is highly overall correlated with 대상인원 and 3 other fieldsHigh correlation
비고(급식장소) is highly overall correlated with 대상인원 and 2 other fieldsHigh correlation

Reproduction

Analysis started2023-12-12 05:28:15.546703
Analysis finished2023-12-12 05:28:16.233154
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
식사배달
16 
경로식당
9 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식사배달 16
64.0%
경로식당 9
36.0%

Length

2023-12-12T14:28:16.324354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:28:16.413859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식사배달 16
64.0%
경로식당 9
36.0%

읍면동
Text

Distinct15
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T14:28:16.568445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length3
Mean length4.24
Min length3

Characters and Unicode

Total characters106
Distinct characters42
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

Unique11 ?
Unique (%)44.0%

Sample

1st row한림읍
2nd row한경면
3rd row동지역
4th row동지역
5th row동지역
ValueCountFrequency (%)
동지역 8
32.0%
한림읍 2
 
8.0%
한경면 2
 
8.0%
성산읍 2
 
8.0%
애월읍 1
 
4.0%
구좌읍 1
 
4.0%
조천읍 1
 
4.0%
추자면 1
 
4.0%
우도면 1
 
4.0%
대정읍 1
 
4.0%
Other values (5) 5
20.0%
2023-12-12T14:28:16.847299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 12
 
11.3%
· 10
 
9.4%
읍 9
 
8.5%
지 9
 
8.5%
역 8
 
7.5%
면 6
 
5.7%
천 4
 
3.8%
한 4
 
3.8%
산 3
 
2.8%
대 3
 
2.8%
Other values (32) 38
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 96
90.6%
Other Punctuation 10
 
9.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 12
 
12.5%
읍 9
 
9.4%
지 9
 
9.4%
역 8
 
8.3%
면 6
 
6.2%
천 4
 
4.2%
한 4
 
4.2%
산 3
 
3.1%
대 3
 
3.1%
홍 2
 
2.1%
Other values (31) 36
37.5%
Other Punctuation
ValueCountFrequency (%)
· 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 96
90.6%
Common 10
 
9.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 12
 
12.5%
읍 9
 
9.4%
지 9
 
9.4%
역 8
 
8.3%
면 6
 
6.2%
천 4
 
4.2%
한 4
 
4.2%
산 3
 
3.1%
대 3
 
3.1%
홍 2
 
2.1%
Other values (31) 36
37.5%
Common
ValueCountFrequency (%)
· 10
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 96
90.6%
None 10
 
9.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 12
 
12.5%
읍 9
 
9.4%
지 9
 
9.4%
역 8
 
8.3%
면 6
 
6.2%
천 4
 
4.2%
한 4
 
4.2%
산 3
 
3.1%
대 3
 
3.1%
홍 2
 
2.1%
Other values (31) 36
37.5%
None
ValueCountFrequency (%)
· 10
100.0%

운영단체
Text

Distinct22
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T14:28:17.052046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.52
Min length5

Characters and Unicode

Total characters238
Distinct characters67
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)76.0%

Sample

1st row서부종합사회복지관
2nd row한경원광소규모요양시설
3rd row대한노인회 제주시지회
4th row아라종합사회복지관
5th row은성종합사회복지관
ValueCountFrequency (%)
서부종합사회복지관 2
 
7.4%
은성종합사회복지관 2
 
7.4%
제주담다(자활공동체 2
 
7.4%
우도면 1
 
3.7%
지역사회보장협의체 1
 
3.7%
서귀원광노인복지센터 1
 
3.7%
선광재가노인복지센터 1
 
3.7%
동광효도마을 1
 
3.7%
예담재가복지센터 1
 
3.7%
성산원광소규모요양시설 1
 
3.7%
Other values (14) 14
51.9%
2023-12-12T14:28:17.418454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 18
 
7.6%
복 15
 
6.3%
회 14
 
5.9%
사 9
 
3.8%
종 8
 
3.4%
합 8
 
3.4%
관 8
 
3.4%
제 8
 
3.4%
주 8
 
3.4%
인 7
 
2.9%
Other values (57) 135
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 232
97.5%
Space Separator 2
 
0.8%
Open Punctuation 2
 
0.8%
Close Punctuation 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 18
 
7.8%
복 15
 
6.5%
회 14
 
6.0%
사 9
 
3.9%
종 8
 
3.4%
합 8
 
3.4%
관 8
 
3.4%
제 8
 
3.4%
주 8
 
3.4%
인 7
 
3.0%
Other values (54) 129
55.6%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 232
97.5%
Common 6
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 18
 
7.8%
복 15
 
6.5%
회 14
 
6.0%
사 9
 
3.9%
종 8
 
3.4%
합 8
 
3.4%
관 8
 
3.4%
제 8
 
3.4%
주 8
 
3.4%
인 7
 
3.0%
Other values (54) 129
55.6%
Common
ValueCountFrequency (%)
2
33.3%
( 2
33.3%
) 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 232
97.5%
ASCII 6
 
2.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 18
 
7.8%
복 15
 
6.5%
회 14
 
6.0%
사 9
 
3.9%
종 8
 
3.4%
합 8
 
3.4%
관 8
 
3.4%
제 8
 
3.4%
주 8
 
3.4%
인 7
 
3.0%
Other values (54) 129
55.6%
ASCII
ValueCountFrequency (%)
2
33.3%
( 2
33.3%
) 2
33.3%

운영방법
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
주3회(월+수+금)
10 
주2회(월+목)
3 
주1회(목)
2 
주1회(수)
2 
주6회(월~토)
 
1
Other values (7)
7 

Length

Max length10
Median length8
Mean length7.88
Min length3

Unique

Unique8 ?
Unique (%)32.0%

Sample

1st row주1회(목)
2nd row주1회(수)
3rd row주6회(월~토)
4th row주3회(월+수+금)
5th row주1회(목)

Common Values

ValueCountFrequency (%)
주3회(월+수+금) 10
40.0%
주2회(월+목) 3
 
12.0%
주1회(목) 2
 
8.0%
주1회(수) 2
 
8.0%
주6회(월~토) 1
 
4.0%
미제공 1
 
4.0%
주2회(화+금) 1
 
4.0%
연6회 1
 
4.0%
주2~3회(월~토) 1
 
4.0%
주2회(목+일) 1
 
4.0%
Other values (2) 2
 
8.0%

Length

2023-12-12T14:28:17.602569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주3회(월+수+금 10
40.0%
주2회(월+목 3
 
12.0%
주1회(목 2
 
8.0%
주1회(수 2
 
8.0%
주6회(월~토 1
 
4.0%
미제공 1
 
4.0%
주2회(화+금 1
 
4.0%
연6회 1
 
4.0%
주2~3회(월~토 1
 
4.0%
주2회(목+일 1
 
4.0%
Other values (2) 2
 
8.0%

대상인원
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.88
Minimum14
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-12T14:28:17.745209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile27
Q135
median45
Q390
95-th percentile262
Maximum300
Range286
Interquartile range (IQR)55

Descriptive statistics

Standard deviation85.807595
Coefficient of variation (CV)1.0109283
Kurtosis1.3285091
Mean84.88
Median Absolute Deviation (MAD)15
Skewness1.6559978
Sum2122
Variance7362.9433
MonotonicityNot monotonic
2023-12-12T14:28:18.147740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
40 4
16.0%
52 3
12.0%
30 2
 
8.0%
27 2
 
8.0%
45 2
 
8.0%
250 2
 
8.0%
56 1
 
4.0%
265 1
 
4.0%
14 1
 
4.0%
32 1
 
4.0%
Other values (6) 6
24.0%
ValueCountFrequency (%)
14 1
 
4.0%
27 2
8.0%
30 2
8.0%
32 1
 
4.0%
35 1
 
4.0%
40 4
16.0%
45 2
8.0%
52 3
12.0%
56 1
 
4.0%
60 1
 
4.0%
ValueCountFrequency (%)
300 1
 
4.0%
265 1
 
4.0%
250 2
8.0%
150 1
 
4.0%
100 1
 
4.0%
90 1
 
4.0%
60 1
 
4.0%
56 1
 
4.0%
52 3
12.0%
45 2
8.0%

지원내역
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
밑반찬
14 
일반식
9 
밑반찬·식재료
2 

Length

Max length7
Median length3
Mean length3.32
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
밑반찬 14
56.0%
일반식 9
36.0%
밑반찬·식재료 2
 
8.0%

Length

2023-12-12T14:28:18.299423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:28:18.429273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
밑반찬 14
56.0%
일반식 9
36.0%
밑반찬·식재료 2
 
8.0%

비고(급식장소)
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
해당없음
16 
서부종합사회복지관
2 
한경원광소규모요양시설
 
1
제주시노인복지회관
 
1
아라종합사회복지관
 
1
Other values (4)
4 

Length

Max length11
Median length4
Mean length5.6
Min length3

Unique

Unique7 ?
Unique (%)28.0%

Sample

1st row서부종합사회복지관
2nd row한경원광소규모요양시설
3rd row제주시노인복지회관
4th row아라종합사회복지관
5th row은성종합사회복지관

Common Values

ValueCountFrequency (%)
해당없음 16
64.0%
서부종합사회복지관 2
 
8.0%
한경원광소규모요양시설 1
 
4.0%
제주시노인복지회관 1
 
4.0%
아라종합사회복지관 1
 
4.0%
은성종합사회복지관 1
 
4.0%
서귀포종합사회복지관 1
 
4.0%
미제공 1
 
4.0%
동부종합복지관 1
 
4.0%

Length

2023-12-12T14:28:18.591182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:28:18.742656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 16
64.0%
서부종합사회복지관 2
 
8.0%
한경원광소규모요양시설 1
 
4.0%
제주시노인복지회관 1
 
4.0%
아라종합사회복지관 1
 
4.0%
은성종합사회복지관 1
 
4.0%
서귀포종합사회복지관 1
 
4.0%
미제공 1
 
4.0%
동부종합복지관 1
 
4.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2023-02-23 00:00:00
Maximum2023-02-23 00:00:00
2023-12-12T14:28:18.854423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:28:18.942735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T14:28:15.916482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:28:19.034616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분읍면동운영단체운영방법대상인원지원내역비고(급식장소)
구분1.0000.0000.8180.9680.4921.0001.000
읍면동0.0001.0000.9720.0000.0000.0000.000
운영단체0.8180.9721.0000.7650.8390.9390.946
운영방법0.9680.0000.7651.0000.8780.9960.879
대상인원0.4920.0000.8390.8781.0000.4380.893
지원내역1.0000.0000.9390.9960.4381.0000.807
비고(급식장소)1.0000.0000.9460.8790.8930.8071.000
2023-12-12T14:28:19.159215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분비고(급식장소)운영방법지원내역
구분1.0000.8340.6340.978
비고(급식장소)0.8341.0000.5520.426
운영방법0.6340.5521.0000.708
지원내역0.9780.4260.7081.000
2023-12-12T14:28:19.277818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대상인원구분운영방법지원내역비고(급식장소)
대상인원1.0000.4580.5750.2800.707
구분0.4581.0000.6340.9780.834
운영방법0.5750.6341.0000.7080.552
지원내역0.2800.9780.7081.0000.426
비고(급식장소)0.7070.8340.5520.4261.000

Missing values

2023-12-12T14:28:16.030836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:28:16.164267image/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

구분읍면동운영단체운영방법대상인원지원내역비고(급식장소)데이터기준일자
0경로식당한림읍서부종합사회복지관주1회(목)30일반식서부종합사회복지관2023-02-23
1경로식당한경면한경원광소규모요양시설주1회(수)40일반식한경원광소규모요양시설2023-02-23
2경로식당동지역대한노인회 제주시지회주6회(월~토)100일반식제주시노인복지회관2023-02-23
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