Overview

Dataset statistics

Number of variables15
Number of observations39
Missing cells13
Missing cells (%)2.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory125.4 B

Variable types

Text7
Unsupported1
Categorical2
DateTime3
Numeric2

Dataset

Description전라북도_무료급식소_20171120
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=201913

Alerts

운영종료일자 has constant value ""Constant
자료출처 has constant value ""Constant
위도 is highly overall correlated with 급식일High correlation
경도 is highly overall correlated with 급식일High correlation
급식일 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
소재지지번주소 has 6 (15.4%) missing valuesMissing
전화번호 has 1 (2.6%) missing valuesMissing
운영종료일자 has 6 (15.4%) missing valuesMissing
시설명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
경도 has unique valuesUnique
급식시간 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-14 02:22:55.372158
Analysis finished2024-03-14 02:22:56.545461
Duration1.17 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-03-14T11:22:56.702007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length9.1538462
Min length4

Characters and Unicode

Total characters357
Distinct characters88
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

Unique39 ?
Unique (%)100.0%

Sample

1st row기린봉노인복지관
2nd row전주종합사회복지관
3rd row노송천노인복지관(안골노인복지관 분관)
4th row평화사회복지관
5th row꽃밭정이노인복지관
ValueCountFrequency (%)
무료경로식당 2
 
4.7%
기린봉노인복지관 1
 
2.3%
익산시노인종합복지관 1
 
2.3%
솔솔송자원봉사대 1
 
2.3%
동산사회복지관 1
 
2.3%
이리온누리교회경로식당 1
 
2.3%
사)대한노인회 1
 
2.3%
부안군지회 1
 
2.3%
무주종합복지관 1
 
2.3%
진안군장애인종합복지관 1
 
2.3%
Other values (32) 32
74.4%
2024-03-14T11:22:57.069157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 31
 
8.7%
복 29
 
8.1%
관 29
 
8.1%
인 22
 
6.2%
노 21
 
5.9%
회 17
 
4.8%
사 9
 
2.5%
교 8
 
2.2%
종 8
 
2.2%
합 8
 
2.2%
Other values (78) 175
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 349
97.8%
Space Separator 4
 
1.1%
Open Punctuation 2
 
0.6%
Close Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 31
 
8.9%
복 29
 
8.3%
관 29
 
8.3%
인 22
 
6.3%
노 21
 
6.0%
회 17
 
4.9%
사 9
 
2.6%
교 8
 
2.3%
종 8
 
2.3%
합 8
 
2.3%
Other values (75) 167
47.9%
Space Separator
ValueCountFrequency (%)
4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 349
97.8%
Common 8
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 31
 
8.9%
복 29
 
8.3%
관 29
 
8.3%
인 22
 
6.3%
노 21
 
6.0%
회 17
 
4.9%
사 9
 
2.6%
교 8
 
2.3%
종 8
 
2.3%
합 8
 
2.3%
Other values (75) 167
47.9%
Common
ValueCountFrequency (%)
4
50.0%
( 2
25.0%
) 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 349
97.8%
ASCII 8
 
2.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 31
 
8.9%
복 29
 
8.3%
관 29
 
8.3%
인 22
 
6.3%
노 21
 
6.0%
회 17
 
4.9%
사 9
 
2.6%
교 8
 
2.3%
종 8
 
2.3%
합 8
 
2.3%
Other values (75) 167
47.9%
ASCII
ValueCountFrequency (%)
4
50.0%
( 2
25.0%
) 2
25.0%

소재지도로명주소
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-03-14T11:22:57.293217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length19.948718
Min length15

Characters and Unicode

Total characters778
Distinct characters102
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)100.0%

Sample

1st row전라북도 전주시 완산구 관선1길 60
2nd row전라북도 전주시 완산구 덕적골 2길 10
3rd row전라북도 전주시 완산구 공북로 101
4th row전라북도 전주시 완산구 덕적골 2길 25
5th row전라북도 전주시 완산구 평화14길 27-53
ValueCountFrequency (%)
전라북도 39
21.4%
전주시 13
 
7.1%
완산구 8
 
4.4%
익산시 5
 
2.7%
덕진구 5
 
2.7%
군산시 4
 
2.2%
완주군 4
 
2.2%
정읍시 3
 
1.6%
36 3
 
1.6%
임실군 3
 
1.6%
Other values (90) 95
52.2%
2024-03-14T11:22:57.611616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
143
18.4%
전 52
 
6.7%
북 40
 
5.1%
도 39
 
5.0%
라 39
 
5.0%
시 28
 
3.6%
1 28
 
3.6%
로 25
 
3.2%
2 23
 
3.0%
산 21
 
2.7%
Other values (92) 340
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 492
63.2%
Space Separator 143
 
18.4%
Decimal Number 127
 
16.3%
Dash Punctuation 12
 
1.5%
Open Punctuation 2
 
0.3%
Close Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 52
 
10.6%
북 40
 
8.1%
도 39
 
7.9%
라 39
 
7.9%
시 28
 
5.7%
로 25
 
5.1%
산 21
 
4.3%
주 19
 
3.9%
길 17
 
3.5%
군 16
 
3.3%
Other values (78) 196
39.8%
Decimal Number
ValueCountFrequency (%)
1 28
22.0%
2 23
18.1%
5 15
11.8%
3 14
11.0%
4 12
9.4%
0 8
 
6.3%
6 8
 
6.3%
9 7
 
5.5%
7 7
 
5.5%
8 5
 
3.9%
Space Separator
ValueCountFrequency (%)
143
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 492
63.2%
Common 286
36.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 52
 
10.6%
북 40
 
8.1%
도 39
 
7.9%
라 39
 
7.9%
시 28
 
5.7%
로 25
 
5.1%
산 21
 
4.3%
주 19
 
3.9%
길 17
 
3.5%
군 16
 
3.3%
Other values (78) 196
39.8%
Common
ValueCountFrequency (%)
143
50.0%
1 28
 
9.8%
2 23
 
8.0%
5 15
 
5.2%
3 14
 
4.9%
4 12
 
4.2%
- 12
 
4.2%
0 8
 
2.8%
6 8
 
2.8%
9 7
 
2.4%
Other values (4) 16
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 492
63.2%
ASCII 286
36.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
143
50.0%
1 28
 
9.8%
2 23
 
8.0%
5 15
 
5.2%
3 14
 
4.9%
4 12
 
4.2%
- 12
 
4.2%
0 8
 
2.8%
6 8
 
2.8%
9 7
 
2.4%
Other values (4) 16
 
5.6%
Hangul
ValueCountFrequency (%)
전 52
 
10.6%
북 40
 
8.1%
도 39
 
7.9%
라 39
 
7.9%
시 28
 
5.7%
로 25
 
5.1%
산 21
 
4.3%
주 19
 
3.9%
길 17
 
3.5%
군 16
 
3.3%
Other values (78) 196
39.8%

소재지지번주소
Text

MISSING 

Distinct33
Distinct (%)100.0%
Missing6
Missing (%)15.4%
Memory size444.0 B
2024-03-14T11:22:57.830968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length26
Mean length22.030303
Min length15

Characters and Unicode

Total characters727
Distinct characters78
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

Unique33 ?
Unique (%)100.0%

Sample

1st row전라북도 전주시 완산구 남노송동 156-13
2nd row전라북도 전주시 완산구 평화동1가 445-1
3rd row전라북도 전주시 완산구 서노송동 651-18
4th row전라북도 전주시 완산구 평화동1가 445-6
5th row전라북도 전주시 완산구 평화동 2가 230-2
ValueCountFrequency (%)
전라북도 33
20.8%
전주시 13
 
8.2%
완산구 8
 
5.0%
덕진구 5
 
3.1%
완주군 4
 
2.5%
군산시 4
 
2.5%
임실군 3
 
1.9%
평화동1가 3
 
1.9%
정읍시 3
 
1.9%
오수면 2
 
1.3%
Other values (78) 81
50.9%
2024-03-14T11:22:58.444637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
126
 
17.3%
전 46
 
6.3%
북 34
 
4.7%
도 34
 
4.7%
라 33
 
4.5%
1 30
 
4.1%
- 26
 
3.6%
시 23
 
3.2%
동 20
 
2.8%
주 19
 
2.6%
Other values (68) 336
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 433
59.6%
Decimal Number 142
 
19.5%
Space Separator 126
 
17.3%
Dash Punctuation 26
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 46
 
10.6%
북 34
 
7.9%
도 34
 
7.9%
라 33
 
7.6%
시 23
 
5.3%
동 20
 
4.6%
주 19
 
4.4%
군 17
 
3.9%
산 16
 
3.7%
구 15
 
3.5%
Other values (56) 176
40.6%
Decimal Number
ValueCountFrequency (%)
1 30
21.1%
2 19
13.4%
5 18
12.7%
4 15
10.6%
6 15
10.6%
3 11
 
7.7%
7 11
 
7.7%
0 10
 
7.0%
9 7
 
4.9%
8 6
 
4.2%
Space Separator
ValueCountFrequency (%)
126
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 433
59.6%
Common 294
40.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 46
 
10.6%
북 34
 
7.9%
도 34
 
7.9%
라 33
 
7.6%
시 23
 
5.3%
동 20
 
4.6%
주 19
 
4.4%
군 17
 
3.9%
산 16
 
3.7%
구 15
 
3.5%
Other values (56) 176
40.6%
Common
ValueCountFrequency (%)
126
42.9%
1 30
 
10.2%
- 26
 
8.8%
2 19
 
6.5%
5 18
 
6.1%
4 15
 
5.1%
6 15
 
5.1%
3 11
 
3.7%
7 11
 
3.7%
0 10
 
3.4%
Other values (2) 13
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 433
59.6%
ASCII 294
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
126
42.9%
1 30
 
10.2%
- 26
 
8.8%
2 19
 
6.5%
5 18
 
6.1%
4 15
 
5.1%
6 15
 
5.1%
3 11
 
3.7%
7 11
 
3.7%
0 10
 
3.4%
Other values (2) 13
 
4.4%
Hangul
ValueCountFrequency (%)
전 46
 
10.6%
북 34
 
7.9%
도 34
 
7.9%
라 33
 
7.6%
시 23
 
5.3%
동 20
 
4.6%
주 19
 
4.4%
군 17
 
3.9%
산 16
 
3.7%
구 15
 
3.5%
Other values (56) 176
40.6%

운영기관명
Text

Distinct37
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-03-14T11:22:58.625586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length8.6153846
Min length3

Characters and Unicode

Total characters336
Distinct characters86
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

Unique35 ?
Unique (%)89.7%

Sample

1st row서원노인복지관
2nd row전주종합사회복지관
3rd row안골노인복지관 분관 노송천노인복지관
4th row평화사회복지관
5th row이랜드복지재단
ValueCountFrequency (%)
서원노인복지관 2
 
4.3%
안골노인복지관 2
 
4.3%
삼동회 2
 
4.3%
쌍치면분회경로당 1
 
2.1%
금강노인복지관 1
 
2.1%
전라북도 1
 
2.1%
진안군 1
 
2.1%
장애인종합복지관 1
 
2.1%
남원시노인복지관 1
 
2.1%
사)솔솔송자원봉사대 1
 
2.1%
Other values (34) 34
72.3%
2024-03-14T11:22:58.979246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 30
 
8.9%
복 29
 
8.6%
관 24
 
7.1%
인 20
 
6.0%
회 20
 
6.0%
노 17
 
5.1%
사 13
 
3.9%
종 9
 
2.7%
합 8
 
2.4%
교 8
 
2.4%
Other values (76) 158
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 324
96.4%
Space Separator 8
 
2.4%
Close Punctuation 2
 
0.6%
Open Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 30
 
9.3%
복 29
 
9.0%
관 24
 
7.4%
인 20
 
6.2%
회 20
 
6.2%
노 17
 
5.2%
사 13
 
4.0%
종 9
 
2.8%
합 8
 
2.5%
교 8
 
2.5%
Other values (73) 146
45.1%
Space Separator
ValueCountFrequency (%)
8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 324
96.4%
Common 12
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 30
 
9.3%
복 29
 
9.0%
관 24
 
7.4%
인 20
 
6.2%
회 20
 
6.2%
노 17
 
5.2%
사 13
 
4.0%
종 9
 
2.8%
합 8
 
2.5%
교 8
 
2.5%
Other values (73) 146
45.1%
Common
ValueCountFrequency (%)
8
66.7%
) 2
 
16.7%
( 2
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 324
96.4%
ASCII 12
 
3.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 30
 
9.3%
복 29
 
9.0%
관 24
 
7.4%
인 20
 
6.2%
회 20
 
6.2%
노 17
 
5.2%
사 13
 
4.0%
종 9
 
2.8%
합 8
 
2.5%
교 8
 
2.5%
Other values (73) 146
45.1%
ASCII
ValueCountFrequency (%)
8
66.7%
) 2
 
16.7%
( 2
 
16.7%

전화번호
Text

MISSING 

Distinct38
Distinct (%)100.0%
Missing1
Missing (%)2.6%
Memory size444.0 B
2024-03-14T11:22:59.199426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.026316
Min length12

Characters and Unicode

Total characters457
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

Unique38 ?
Unique (%)100.0%

Sample

1st row063-287-1177
2nd row063-284-2733
3rd row063-272-4377
4th row063-285-4408
5th row063-237-0770
ValueCountFrequency (%)
063-287-1177 1
 
2.6%
063-625-9988 1
 
2.6%
063-442-4227 1
 
2.6%
063-857-7651 1
 
2.6%
063-842-2253 1
 
2.6%
063-858-3811 1
 
2.6%
063-583-3728 1
 
2.6%
070-4288-8495 1
 
2.6%
063-432-8872 1
 
2.6%
063-837-7722 1
 
2.6%
Other values (28) 28
73.7%
2024-03-14T11:22:59.482565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 76
16.6%
3 69
15.1%
0 57
12.5%
6 57
12.5%
2 53
11.6%
7 36
7.9%
4 34
7.4%
8 27
 
5.9%
5 24
 
5.3%
1 13
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 381
83.4%
Dash Punctuation 76
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 69
18.1%
0 57
15.0%
6 57
15.0%
2 53
13.9%
7 36
9.4%
4 34
8.9%
8 27
 
7.1%
5 24
 
6.3%
1 13
 
3.4%
9 11
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 457
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 76
16.6%
3 69
15.1%
0 57
12.5%
6 57
12.5%
2 53
11.6%
7 36
7.9%
4 34
7.4%
8 27
 
5.9%
5 24
 
5.3%
1 13
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 457
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 76
16.6%
3 69
15.1%
0 57
12.5%
6 57
12.5%
2 53
11.6%
7 36
7.9%
4 34
7.4%
8 27
 
5.9%
5 24
 
5.3%
1 13
 
2.8%

급식장소
Text

Distinct36
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-03-14T11:22:59.669882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length8.8717949
Min length2

Characters and Unicode

Total characters346
Distinct characters84
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)87.2%

Sample

1st row기린봉노인복지관
2nd row전주종합사회복지관 지하1층 경로식당
3rd row안골노인복지관 분관 노송천노인복지관
4th row평화사회복지관
5th row꽃밭정이노인복지관
ValueCountFrequency (%)
식당 4
 
7.5%
내부 3
 
5.7%
경로식당 3
 
5.7%
노인무료급식소 2
 
3.8%
안골노인복지관 2
 
3.8%
이리온누리교회 1
 
1.9%
부안군지회 1
 
1.9%
무주종합복지관내 1
 
1.9%
익산시노인종합복지관 1
 
1.9%
부송종합사회복지관 1
 
1.9%
Other values (34) 34
64.2%
2024-03-14T11:22:59.994306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 30
 
8.7%
복 26
 
7.5%
관 25
 
7.2%
인 21
 
6.1%
노 20
 
5.8%
회 15
 
4.3%
14
 
4.0%
식 12
 
3.5%
당 11
 
3.2%
종 8
 
2.3%
Other values (74) 164
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 328
94.8%
Space Separator 14
 
4.0%
Decimal Number 2
 
0.6%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 30
 
9.1%
복 26
 
7.9%
관 25
 
7.6%
인 21
 
6.4%
노 20
 
6.1%
회 15
 
4.6%
식 12
 
3.7%
당 11
 
3.4%
종 8
 
2.4%
사 8
 
2.4%
Other values (69) 152
46.3%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 328
94.8%
Common 18
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 30
 
9.1%
복 26
 
7.9%
관 25
 
7.6%
인 21
 
6.4%
노 20
 
6.1%
회 15
 
4.6%
식 12
 
3.7%
당 11
 
3.4%
종 8
 
2.4%
사 8
 
2.4%
Other values (69) 152
46.3%
Common
ValueCountFrequency (%)
14
77.8%
( 1
 
5.6%
) 1
 
5.6%
1 1
 
5.6%
2 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 328
94.8%
ASCII 18
 
5.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 30
 
9.1%
복 26
 
7.9%
관 25
 
7.6%
인 21
 
6.4%
노 20
 
6.1%
회 15
 
4.6%
식 12
 
3.7%
당 11
 
3.4%
종 8
 
2.4%
사 8
 
2.4%
Other values (69) 152
46.3%
ASCII
ValueCountFrequency (%)
14
77.8%
( 1
 
5.6%
) 1
 
5.6%
1 1
 
5.6%
2 1
 
5.6%

급식대상
Text

Distinct24
Distinct (%)61.5%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-03-14T11:23:00.175009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length20
Mean length15.153846
Min length4

Characters and Unicode

Total characters591
Distinct characters63
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

Unique16 ?
Unique (%)41.0%

Sample

1st row기초수급자 및 차상위계층 노인, 저소득 독거노인
2nd row65세 이상 저소득 어르신
3rd row독거노인, 결식노인, 저소득층 등
4th row독거노인, 결식노인 등
5th row60세 이상 전주시 거주 복지관 회원
ValueCountFrequency (%)
독거노인 12
 
9.8%
결식노인 9
 
7.3%
노인 9
 
7.3%
60세이상 9
 
7.3%
저소득 8
 
6.5%
이상 6
 
4.9%
저소득층 6
 
4.9%
결식노인,저소득층 5
 
4.1%
기초수급자 5
 
4.1%
결식우려 4
 
3.3%
Other values (26) 50
40.7%
2024-03-14T11:23:00.491705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
84
 
14.2%
인 47
 
8.0%
노 46
 
7.8%
, 29
 
4.9%
저 22
 
3.7%
소 22
 
3.7%
득 22
 
3.7%
상 22
 
3.7%
결 20
 
3.4%
식 20
 
3.4%
Other values (53) 257
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 436
73.8%
Space Separator 84
 
14.2%
Decimal Number 34
 
5.8%
Other Punctuation 32
 
5.4%
Open Punctuation 2
 
0.3%
Close Punctuation 2
 
0.3%
Math Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 47
 
10.8%
노 46
 
10.6%
저 22
 
5.0%
소 22
 
5.0%
득 22
 
5.0%
상 22
 
5.0%
결 20
 
4.6%
식 20
 
4.6%
이 16
 
3.7%
세 16
 
3.7%
Other values (42) 183
42.0%
Decimal Number
ValueCountFrequency (%)
6 16
47.1%
0 13
38.2%
5 3
 
8.8%
3 1
 
2.9%
1 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 29
90.6%
/ 3
 
9.4%
Space Separator
ValueCountFrequency (%)
84
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 436
73.8%
Common 155
 
26.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 47
 
10.8%
노 46
 
10.6%
저 22
 
5.0%
소 22
 
5.0%
득 22
 
5.0%
상 22
 
5.0%
결 20
 
4.6%
식 20
 
4.6%
이 16
 
3.7%
세 16
 
3.7%
Other values (42) 183
42.0%
Common
ValueCountFrequency (%)
84
54.2%
, 29
 
18.7%
6 16
 
10.3%
0 13
 
8.4%
/ 3
 
1.9%
5 3
 
1.9%
( 2
 
1.3%
) 2
 
1.3%
3 1
 
0.6%
~ 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 436
73.8%
ASCII 155
 
26.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
84
54.2%
, 29
 
18.7%
6 16
 
10.3%
0 13
 
8.4%
/ 3
 
1.9%
5 3
 
1.9%
( 2
 
1.3%
) 2
 
1.3%
3 1
 
0.6%
~ 1
 
0.6%
Hangul
ValueCountFrequency (%)
인 47
 
10.8%
노 46
 
10.6%
저 22
 
5.0%
소 22
 
5.0%
득 22
 
5.0%
상 22
 
5.0%
결 20
 
4.6%
식 20
 
4.6%
이 16
 
3.7%
세 16
 
3.7%
Other values (42) 183
42.0%

급식시간
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size444.0 B

급식일
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)48.7%
Missing0
Missing (%)0.0%
Memory size444.0 B
월+화+수+목+금
15 
월+화+수+목+금+토
3 
월~금
3 
월수금
2 
월, 화, 수, 목, 금,(토-금요일 지원)
2 
Other values (14)
14 

Length

Max length24
Median length13
Mean length8.0769231
Min length1

Unique

Unique14 ?
Unique (%)35.9%

Sample

1st row월+화+수+목+금
2nd row월+화+수+목+금
3rd row월+화+수+목+금
4th row월+화+수+목+금
5th row월+화+수+목+금+토

Common Values

ValueCountFrequency (%)
월+화+수+목+금 15
38.5%
월+화+수+목+금+토 3
 
7.7%
월~금 3
 
7.7%
월수금 2
 
5.1%
월, 화, 수, 목, 금,(토-금요일 지원) 2
 
5.1%
금 1
 
2.6%
월+화+수 +목+금 1
 
2.6%
수, 토 1
 
2.6%
화, 수 1
 
2.6%
화 1
 
2.6%
Other values (9) 9
23.1%

Length

2024-03-14T11:23:00.594855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
월+화+수+목+금 15
26.3%
화 6
 
10.5%
수 5
 
8.8%
월+화+수+목+금+토 3
 
5.3%
목 3
 
5.3%
금 3
 
5.3%
월 3
 
5.3%
월~금 3
 
5.3%
월수금 2
 
3.5%
금,(토-금요일 2
 
3.5%
Other values (11) 12
21.1%

운영시작일자
Date

Distinct20
Distinct (%)51.3%
Missing0
Missing (%)0.0%
Memory size444.0 B
Minimum1996-12-01 00:00:00
Maximum2017-02-01 00:00:00
2024-03-14T11:23:00.671111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:23:00.756503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

운영종료일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)3.0%
Missing6
Missing (%)15.4%
Memory size444.0 B
Minimum2017-12-31 00:00:00
Maximum2017-12-31 00:00:00
2024-03-14T11:23:00.849158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:23:00.928896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct38
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.825149
Minimum35.375603
Maximum36.184111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-03-14T11:23:01.029159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.375603
5-th percentile35.535393
Q135.761473
median35.834513
Q335.950128
95-th percentile36.074055
Maximum36.184111
Range0.808508
Interquartile range (IQR)0.18865415

Descriptive statistics

Standard deviation0.17766325
Coefficient of variation (CV)0.004959177
Kurtosis0.31981538
Mean35.825149
Median Absolute Deviation (MAD)0.1064404
Skewness-0.42263645
Sum1397.1808
Variance0.031564232
MonotonicityNot monotonic
2024-03-14T11:23:01.225888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
35.614565 2
 
5.1%
35.8190195 1
 
2.6%
36.172381 1
 
2.6%
35.943346 1
 
2.6%
35.932063 1
 
2.6%
35.936242 1
 
2.6%
35.7280724 1
 
2.6%
36.0055281 1
 
2.6%
35.797724 1
 
2.6%
36.184111 1
 
2.6%
Other values (28) 28
71.8%
ValueCountFrequency (%)
35.375603 1
2.6%
35.482163 1
2.6%
35.541308 1
2.6%
35.551842 1
2.6%
35.553923 1
2.6%
35.614565 2
5.1%
35.688337 1
2.6%
35.7280724 1
2.6%
35.7314998 1
2.6%
35.7914469 1
2.6%
ValueCountFrequency (%)
36.184111 1
2.6%
36.172381 1
2.6%
36.0631301 1
2.6%
36.0055281 1
2.6%
35.9828334 1
2.6%
35.9805527 1
2.6%
35.980226 1
2.6%
35.9691128 1
2.6%
35.958432 1
2.6%
35.956909 1
2.6%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.08283
Minimum126.70934
Maximum127.67239
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-03-14T11:23:01.364875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.70934
5-th percentile126.72057
Q1126.9538
median127.13053
Q3127.16127
95-th percentile127.33756
Maximum127.67239
Range0.9630474
Interquartile range (IQR)0.20746995

Descriptive statistics

Standard deviation0.20541448
Coefficient of variation (CV)0.0016163827
Kurtosis0.82597031
Mean127.08283
Median Absolute Deviation (MAD)0.1144651
Skewness0.096642895
Sum4956.2303
Variance0.04219511
MonotonicityNot monotonic
2024-03-14T11:23:01.469479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
127.1572491 1
 
2.6%
127.1399669 1
 
2.6%
126.948664 1
 
2.6%
126.970031 1
 
2.6%
126.958939 1
 
2.6%
126.7212186 1
 
2.6%
127.6723916 1
 
2.6%
127.434226 1
 
2.6%
127.224151 1
 
2.6%
127.231351 1
 
2.6%
Other values (29) 29
74.4%
ValueCountFrequency (%)
126.7093442 1
2.6%
126.7157877 1
2.6%
126.721103 1
2.6%
126.7212186 1
2.6%
126.7506859 1
2.6%
126.864082 1
2.6%
126.889737 1
2.6%
126.892442 1
2.6%
126.945602 1
2.6%
126.948664 1
2.6%
ValueCountFrequency (%)
127.6723916 1
2.6%
127.434226 1
2.6%
127.326817 1
2.6%
127.285755 1
2.6%
127.271421 1
2.6%
127.2712205 1
2.6%
127.2332034 1
2.6%
127.231351 1
2.6%
127.224151 1
2.6%
127.1652938 1
2.6%

데이터기준일자
Date

Distinct11
Distinct (%)28.2%
Missing0
Missing (%)0.0%
Memory size444.0 B
Minimum2017-01-01 00:00:00
Maximum2017-11-10 00:00:00
2024-03-14T11:23:01.555703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:23:01.638510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
사회복지과
39 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사회복지과 39
100.0%

Length

2024-03-14T11:23:01.727434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:23:01.797740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사회복지과 39
100.0%

Interactions

2024-03-14T11:22:56.027175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:22:55.868316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:22:56.099478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:22:55.949957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T11:23:01.859579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명소재지도로명주소소재지지번주소운영기관명전화번호급식장소급식대상급식일운영시작일자위도경도데이터기준일자
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
운영기관명1.0001.0001.0001.0001.0000.9910.9831.0000.9691.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
급식장소1.0001.0001.0000.9911.0001.0001.0000.9630.9691.0000.5711.000
급식대상1.0001.0001.0000.9831.0001.0001.0000.6600.9790.0000.9391.000
급식일1.0001.0001.0001.0001.0000.9630.6601.0000.0000.9570.9580.969
운영시작일자1.0001.0001.0000.9691.0000.9690.9790.0001.0000.0000.0000.404
위도1.0001.0001.0001.0001.0001.0000.0000.9570.0001.0000.7860.893
경도1.0001.0001.0001.0001.0000.5710.9390.9580.0000.7861.0000.957
데이터기준일자1.0001.0001.0001.0001.0001.0001.0000.9690.4040.8930.9571.000
2024-03-14T11:23:01.974814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도급식일
위도1.000-0.0690.649
경도-0.0691.0000.651
급식일0.6490.6511.000

Missing values

2024-03-14T11:22:56.218865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T11:22:56.379400image/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.
2024-03-14T11:22:56.500927image/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

시설명소재지도로명주소소재지지번주소운영기관명전화번호급식장소급식대상급식시간급식일운영시작일자운영종료일자위도경도데이터기준일자자료출처
0기린봉노인복지관전라북도 전주시 완산구 관선1길 60전라북도 전주시 완산구 남노송동 156-13서원노인복지관063-287-1177기린봉노인복지관기초수급자 및 차상위계층 노인, 저소득 독거노인중식(11:30-12:00)월+화+수+목+금2016-01-012017-12-3135.81902127.1572492017-08-17사회복지과
1전주종합사회복지관전라북도 전주시 완산구 덕적골 2길 10전라북도 전주시 완산구 평화동1가 445-1전주종합사회복지관063-284-2733전주종합사회복지관 지하1층 경로식당65세 이상 저소득 어르신중식(11:30-12:00)월+화+수+목+금2001-05-302017-12-3135.797056127.1399672017-08-17사회복지과
2노송천노인복지관(안골노인복지관 분관)전라북도 전주시 완산구 공북로 101전라북도 전주시 완산구 서노송동 651-18안골노인복지관 분관 노송천노인복지관063-272-4377안골노인복지관 분관 노송천노인복지관독거노인, 결식노인, 저소득층 등중식(11:30-12:30)월+화+수+목+금2015-01-012017-12-3135.826637127.1430272017-08-17사회복지과
3평화사회복지관전라북도 전주시 완산구 덕적골 2길 25전라북도 전주시 완산구 평화동1가 445-6평화사회복지관063-285-4408평화사회복지관독거노인, 결식노인 등중식(11:30-12:30)월+화+수+목+금2015-03-092017-12-3135.796636127.1419242017-08-17사회복지과
4꽃밭정이노인복지관전라북도 전주시 완산구 평화14길 27-53전라북도 전주시 완산구 평화동 2가 230-2이랜드복지재단063-237-0770꽃밭정이노인복지관60세 이상 전주시 거주 복지관 회원중식(11:30-12:40)월+화+수+목+금+토2009-01-012017-12-3135.791447127.1339542017-08-17사회복지과
5학산종합사회복지관전라북도 전주시 완산구 모악로 4726전라북도 전주시 완산구 평화동1가 663-3학산종합사회복지관063-223-9999학산종합사회복지관기초생활수급자, 차상위, 독거노인중식(11:20-12:20)월+화+수+목+금2010-05-032017-12-3135.791582127.1326752017-08-17사회복지과
6양지노인복지관전라북도 전주시 완산구 성지산로 55전라북도 전주시 완산구 효자동1가 567-1사회복지법인삼육재단063-232-1000양지노인복지관기초생활수급권자, 차상위계층중식(11:30-12:30)월+화+수+목+금1999-11-012017-12-3135.802042127.1235312017-08-17사회복지과
7한국대학생선교회전라북도 전주시 덕진구 덕진연못1길 9-5전라북도 전주시 덕진구 덕진동1가 1280-12한국대학생선교회063-272-3676한국대학생선교회독거노인, 결식노인 등중식(11:30-12:30)월+화+수+목+금2008-05-282017-12-3135.845142127.1229222017-08-17사회복지과
8덕진노인복지관전라북도 전주시 덕진구 송천중앙로 36전라북도 전주시 덕진구 덕진동2가 174덕진노인복지관063-276-7963덕진노인복지관독거노인, 결식노인, 저소득층중식(11:30-12:30)월+화+수 +목+금2002-03-022017-12-3135.849944127.1205842017-08-17사회복지과
9전북불교회관전라북도 전주시 덕진구 가리내로 42-13전라북도 전주시 덕진구 금암동 766-5사회복지법인 대한불교조계종 금산사복지원063-277-3497전북불교회관독거노인, 결식노인, 노숙인 저소득층 등중식(11:00-13:00)월+화+수+목+금2007-05-012017-12-3135.834513127.1305322017-08-17사회복지과
시설명소재지도로명주소소재지지번주소운영기관명전화번호급식장소급식대상급식시간급식일운영시작일자운영종료일자위도경도데이터기준일자자료출처
29남원사회복지관집단급식소전라북도 남원시 노송로 1255-9전라북도 남원시 노암동 275남원사회복지관063-632-5252노인무료급식소기초수급자, 60세이상중식(11:20-12:00)월, 화, 수, 목, 금,(토-금요일 지원)2014-05-01NaT36.172381127.2313512017-11-10사회복지과
30군산노인종합복지관전라북도 군산시 둔배미길 29전라북도 군산시 중앙로2가 140-8군산노인종합복지관063-442-4227군산노인종합복지관60세이상 결식노인(기초수급자 무료)/ 그외 실비중식(12:00-13:00)월~금2000-11-01NaT35.982833126.7157882017-06-26사회복지과
31군산경로식당전라북도 군산시 중앙로 44-8전라북도 군산시 대명동 385-85군산경로식당063-442-5323군산경로식당결식노인, 노숙인중식(12:00-13:00)월~일(주7회)1996-12-01NaT35.980226126.7211032017-06-26사회복지과
32군산나운종합사회복지관전라북도 군산시 문화로 36전라북도 군산시 나운동 45군산나운종합사회복지관063-462-7260군산나운종합사회복지관60세이상 기초수급자, 1~3급수급장애인 무료/그외 실비중식(12:00-13:00)월~금2002-02-01NaT35.969113126.7093442017-06-26사회복지과
33금강노인복지관전라북도 군산시 백릉로 245전라북도 군산시 구암동 307-11금강노인복지관063-442-0012금강노인복지관60세이상 결식노인(기초수급자 무료) /그외 실비중식(12:00-13:00)월~금2014-04-01NaT35.980553126.7506862017-06-26사회복지과
34쌍치면분회경로당 무료경로식당전라북도 순창군 쌍치면 쌍계로 35전라북도 순창군 쌍치면 쌍계리 295-14쌍치면분회경로당<NA>쌍치면분회경로당 복지식당결식노인중식(12:00~13:00)쌍치장날(4,9일)2017-01-012017-12-3135.482163127.0160672017-05-22사회복지과
35순창읍교회 무료경로식당전라북도 순창군 순창읍 순창9길 23전라북도 순창군 순창읍 순화리 153-1순창읍교회063-653-2604순창읍교회 식당결식노인중식(12:00~13:00)순창장날(1,6일)2017-01-012017-12-3135.375603127.1406052017-05-22사회복지과
36임실군노인복지관전라북도 임실군 임실읍 운수로 33-46전라북도 임실군 임실읍 이도리 241 임실군노인복지회관삼동회063-644-4438내부60세이상 저소득노인12:00:00월수금2017-01-012017-12-3135.614565127.2857552017-04-30사회복지과
37임실군북구권노인복지관전라북도 임실군 관촌면 사선1길 24전라북도 임실군 관촌면 관촌리 177-2 북부권노인복지회관삼동회063-642-3844내부60세이상 저소득노인12:00:00월수금2017-01-012017-12-3135.614565127.2714212017-04-30사회복지과
38원불교오수교당봉공회전라북도 임실군 오수면 삼일로 27전라북도 임실군 오수면 오수리 392-11 오수면 사무소원불교오수교당 봉공회063-642-1394내부60세이상 저소득노인12:00:00장날전후2017-01-012017-12-3135.541308127.3268172017-04-30사회복지과