Overview

Dataset statistics

Number of variables4
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory957.0 B
Average record size in memory38.3 B

Variable types

Numeric1
Text3

Dataset

Description경상남도 내에 소재하는 푸드뱅크 및 푸드마켓 현황으로, 푸드뱅크의 이름, 운영주체명, 주소에 관한 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/3079974/fileData.do

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:46:36.140556
Analysis finished2023-12-12 12:46:36.628382
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-12T21:46:36.689190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q17
median13
Q319
95-th percentile23.8
Maximum25
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.3598007
Coefficient of variation (CV)0.56613852
Kurtosis-1.2
Mean13
Median Absolute Deviation (MAD)6
Skewness0
Sum325
Variance54.166667
MonotonicityStrictly increasing
2023-12-12T21:46:36.846332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
25 1
 
4.0%
24 1
 
4.0%
23 1
 
4.0%
22 1
 
4.0%
21 1
 
4.0%
20 1
 
4.0%
19 1
 
4.0%
18 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
1 1
4.0%
2 1
4.0%
3 1
4.0%
4 1
4.0%
5 1
4.0%
6 1
4.0%
7 1
4.0%
8 1
4.0%
9 1
4.0%
10 1
4.0%
ValueCountFrequency (%)
25 1
4.0%
24 1
4.0%
23 1
4.0%
22 1
4.0%
21 1
4.0%
20 1
4.0%
19 1
4.0%
18 1
4.0%
17 1
4.0%
16 1
4.0%

이름
Text

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T21:46:37.095724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.08
Min length4

Characters and Unicode

Total characters102
Distinct characters34
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

Unique23 ?
Unique (%)92.0%

Sample

1st row경상남도광역
2nd row창원기초
3rd row마산기초
4th row진해기초
5th row진주기초
ValueCountFrequency (%)
김해기초 2
 
8.0%
경상남도광역 1
 
4.0%
고성기초 1
 
4.0%
통영마켓 1
 
4.0%
진주마켓 1
 
4.0%
창원마켓 1
 
4.0%
합천기초 1
 
4.0%
거창기초 1
 
4.0%
함양기초 1
 
4.0%
산청기초 1
 
4.0%
Other values (14) 14
56.0%
2023-12-12T21:46:37.489491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 20
19.6%
초 20
19.6%
마 5
 
4.9%
해 5
 
4.9%
켓 4
 
3.9%
창 4
 
3.9%
김 3
 
2.9%
양 3
 
2.9%
산 3
 
2.9%
진 3
 
2.9%
Other values (24) 32
31.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 102
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 20
19.6%
초 20
19.6%
마 5
 
4.9%
해 5
 
4.9%
켓 4
 
3.9%
창 4
 
3.9%
김 3
 
2.9%
양 3
 
2.9%
산 3
 
2.9%
진 3
 
2.9%
Other values (24) 32
31.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 102
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 20
19.6%
초 20
19.6%
마 5
 
4.9%
해 5
 
4.9%
켓 4
 
3.9%
창 4
 
3.9%
김 3
 
2.9%
양 3
 
2.9%
산 3
 
2.9%
진 3
 
2.9%
Other values (24) 32
31.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 102
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 20
19.6%
초 20
19.6%
마 5
 
4.9%
해 5
 
4.9%
켓 4
 
3.9%
창 4
 
3.9%
김 3
 
2.9%
양 3
 
2.9%
산 3
 
2.9%
진 3
 
2.9%
Other values (24) 32
31.4%

운영주체명
Text

Distinct23
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T21:46:37.755975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length8.96
Min length3

Characters and Unicode

Total characters224
Distinct characters60
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

Unique21 ?
Unique (%)84.0%

Sample

1st row경남종합사회복지관
2nd row창원성산종합사회복지관
3rd row내서종합사회복지관
4th row창원시진해종합사회복지관
5th row진주시사회복지협의회
ValueCountFrequency (%)
진주시사회복지협의회 2
 
7.7%
통영시종합사회복지관 2
 
7.7%
경남종합사회복지관 1
 
3.8%
창녕지역자활센터 1
 
3.8%
사회적협동조합 1
 
3.8%
성산종합사회복지관 1
 
3.8%
합천애육원 1
 
3.8%
거창군사회복지협의회 1
 
3.8%
함양정신요양원 1
 
3.8%
산청지역자활센터 1
 
3.8%
Other values (14) 14
53.8%
2023-12-12T21:46:38.156237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 18
 
8.0%
회 18
 
8.0%
지 17
 
7.6%
합 14
 
6.2%
복 13
 
5.8%
종 10
 
4.5%
시 10
 
4.5%
관 10
 
4.5%
원 8
 
3.6%
자 6
 
2.7%
Other values (50) 100
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 223
99.6%
Space Separator 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 18
 
8.1%
회 18
 
8.1%
지 17
 
7.6%
합 14
 
6.3%
복 13
 
5.8%
종 10
 
4.5%
시 10
 
4.5%
관 10
 
4.5%
원 8
 
3.6%
자 6
 
2.7%
Other values (49) 99
44.4%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 223
99.6%
Common 1
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 18
 
8.1%
회 18
 
8.1%
지 17
 
7.6%
합 14
 
6.3%
복 13
 
5.8%
종 10
 
4.5%
시 10
 
4.5%
관 10
 
4.5%
원 8
 
3.6%
자 6
 
2.7%
Other values (49) 99
44.4%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 223
99.6%
ASCII 1
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 18
 
8.1%
회 18
 
8.1%
지 17
 
7.6%
합 14
 
6.3%
복 13
 
5.8%
종 10
 
4.5%
시 10
 
4.5%
관 10
 
4.5%
원 8
 
3.6%
자 6
 
2.7%
Other values (49) 99
44.4%
ASCII
ValueCountFrequency (%)
1
100.0%

주소
Text

Distinct23
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T21:46:38.467467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length21
Mean length20.76
Min length11

Characters and Unicode

Total characters519
Distinct characters99
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

Unique21 ?
Unique (%)84.0%

Sample

1st row경상남도 김해시 칠산로 128(김해농수산물종합유통센터 내)
2nd row경상남도 창원시 의창구 창이대로 600번길 2
3rd row경상남도 창원시 마산회원구 내서읍 상곡리193
4th row경상남도 창원시 진해구 진해대로 1101
5th row경상남도 진주시 서장대로 281
ValueCountFrequency (%)
경상남도 23
 
19.0%
창원시 4
 
3.3%
김해시 4
 
3.3%
중앙로 2
 
1.7%
서장대로 2
 
1.7%
281 2
 
1.7%
통영시 2
 
1.7%
안개4길 2
 
1.7%
94 2
 
1.7%
7 2
 
1.7%
Other values (74) 76
62.8%
2023-12-12T21:46:38.917937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
 
18.5%
남 25
 
4.8%
상 25
 
4.8%
경 23
 
4.4%
도 23
 
4.4%
1 22
 
4.2%
로 17
 
3.3%
시 16
 
3.1%
2 15
 
2.9%
길 11
 
2.1%
Other values (89) 246
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 334
64.4%
Space Separator 96
 
18.5%
Decimal Number 82
 
15.8%
Dash Punctuation 3
 
0.6%
Close Punctuation 2
 
0.4%
Open Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 25
 
7.5%
상 25
 
7.5%
경 23
 
6.9%
도 23
 
6.9%
로 17
 
5.1%
시 16
 
4.8%
길 11
 
3.3%
해 10
 
3.0%
창 10
 
3.0%
읍 10
 
3.0%
Other values (75) 164
49.1%
Decimal Number
ValueCountFrequency (%)
1 22
26.8%
2 15
18.3%
3 9
11.0%
0 9
11.0%
9 6
 
7.3%
5 5
 
6.1%
8 5
 
6.1%
4 5
 
6.1%
6 3
 
3.7%
7 3
 
3.7%
Space Separator
ValueCountFrequency (%)
96
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 334
64.4%
Common 185
35.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 25
 
7.5%
상 25
 
7.5%
경 23
 
6.9%
도 23
 
6.9%
로 17
 
5.1%
시 16
 
4.8%
길 11
 
3.3%
해 10
 
3.0%
창 10
 
3.0%
읍 10
 
3.0%
Other values (75) 164
49.1%
Common
ValueCountFrequency (%)
96
51.9%
1 22
 
11.9%
2 15
 
8.1%
3 9
 
4.9%
0 9
 
4.9%
9 6
 
3.2%
5 5
 
2.7%
8 5
 
2.7%
4 5
 
2.7%
6 3
 
1.6%
Other values (4) 10
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 334
64.4%
ASCII 185
35.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
51.9%
1 22
 
11.9%
2 15
 
8.1%
3 9
 
4.9%
0 9
 
4.9%
9 6
 
3.2%
5 5
 
2.7%
8 5
 
2.7%
4 5
 
2.7%
6 3
 
1.6%
Other values (4) 10
 
5.4%
Hangul
ValueCountFrequency (%)
남 25
 
7.5%
상 25
 
7.5%
경 23
 
6.9%
도 23
 
6.9%
로 17
 
5.1%
시 16
 
4.8%
길 11
 
3.3%
해 10
 
3.0%
창 10
 
3.0%
읍 10
 
3.0%
Other values (75) 164
49.1%

Interactions

2023-12-12T21:46:36.357459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:46:39.028276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번이름운영주체명주소
연번1.0000.9140.8660.866
이름0.9141.0000.9590.959
운영주체명0.8660.9591.0001.000
주소0.8660.9591.0001.000

Missing values

2023-12-12T21:46:36.501673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:46:36.597278image/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

연번이름운영주체명주소
01경상남도광역경남종합사회복지관경상남도 김해시 칠산로 128(김해농수산물종합유통센터 내)
12창원기초창원성산종합사회복지관경상남도 창원시 의창구 창이대로 600번길 2
23마산기초내서종합사회복지관경상남도 창원시 마산회원구 내서읍 상곡리193
34진해기초창원시진해종합사회복지관경상남도 창원시 진해구 진해대로 1101
45진주기초진주시사회복지협의회경상남도 진주시 서장대로 281
56통영기초통영시종합사회복지관경상남도 통영시 안개4길 94
67사천기초사천시자원봉사센터경상남도 사천시 동금동 동금5길 15
78김해기초희망모자원경상남도 김해시 분성로 376번길 21-10
89김해기초초록나눔사회적협동조합김해시 평전로 3 103동 106호(외동 주공아파트 상가)
910밀양기초밀양시종합사회복지관밀양시 중앙로 218
연번이름운영주체명주소
1516남해기초남해군경상남도 남해군 남해읍 망운로 32
1617하동기초하동지역자활센터경상남도 하동군 하동읍 청년회관길 13
1718산청기초산청지역자활센터경상남도 산청군 산청읍 꽃봉산로91번길 10
1819함양기초함양정신요양원경상남도 함양군 함양읍 월명길 12
1920거창기초거창군사회복지협의회경상남도 거창군 마리면 거안로 1029
2021합천기초합천애육원경상남도 합천군 합천읍 중앙로 33-2
2122창원마켓성산종합사회복지관경상남도 창원시 의창구 신사로 7
2223진주마켓진주시사회복지협의회경상남도 진주시 서장대로 281
2324통영마켓통영시종합사회복지관경상남도 통영시 안개4길 94
2425김해마켓김해시종합사회복지관경상남도 김해시 김해대로 2232