Overview

Dataset statistics

Number of variables11
Number of observations130
Missing cells84
Missing cells (%)5.9%
Duplicate rows32
Duplicate rows (%)24.6%
Total size in memory11.6 KiB
Average record size in memory91.0 B

Variable types

Text5
Categorical2
Numeric2
DateTime2

Dataset

Description경기농정통합시스템 먹거리관련 시민단체
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=ADFUZLEHNFZX00MACKRJ33382335&infSeq=1

Alerts

Dataset has 32 (24.6%) duplicate rowsDuplicates
주소 has 14 (10.8%) missing valuesMissing
상세주소 has 48 (36.9%) missing valuesMissing
주요사업 has 22 (16.9%) missing valuesMissing

Reproduction

Analysis started2023-12-10 22:27:25.349334
Analysis finished2023-12-10 22:27:26.833120
Duration1.48 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

단체명
Text

Distinct81
Distinct (%)62.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T07:27:26.968261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length10.607692
Min length3

Characters and Unicode

Total characters1379
Distinct characters211
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)36.2%

Sample

1st row사단법인장애인권익지원협회고양시지부
2nd row마션테이블
3rd row수원건강먹거리시민네트워크
4th row(사)식생활교육수원네트워크
5th row한살림수원생활협동조합
ValueCountFrequency (%)
경기남부두레생협 5
 
3.8%
여주시지속가능발전협의회 4
 
3.1%
팔탄면지역사회보장협의체 4
 
3.1%
사단법인누리전통문화보존회 4
 
3.1%
용인시친환경학교급식출하회 4
 
3.1%
안성종합사회복지관 3
 
2.3%
주식회사마을도시락 3
 
2.3%
로컬푸드지킴이협동조 3
 
2.3%
금광면새마을부녀회 3
 
2.3%
죽산면새마을협의회(부녀회 2
 
1.5%
Other values (71) 95
73.1%
2023-12-11T07:27:27.305082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 70
 
5.1%
협 58
 
4.2%
사 45
 
3.3%
동 41
 
3.0%
합 36
 
2.6%
시 34
 
2.5%
부 31
 
2.2%
조 30
 
2.2%
지 27
 
2.0%
마 23
 
1.7%
Other values (201) 984
71.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1344
97.5%
Close Punctuation 10
 
0.7%
Open Punctuation 10
 
0.7%
Uppercase Letter 8
 
0.6%
Lowercase Letter 4
 
0.3%
Other Punctuation 2
 
0.1%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 70
 
5.2%
협 58
 
4.3%
사 45
 
3.3%
동 41
 
3.1%
합 36
 
2.7%
시 34
 
2.5%
부 31
 
2.3%
조 30
 
2.2%
지 27
 
2.0%
마 23
 
1.7%
Other values (187) 949
70.6%
Uppercase Letter
ValueCountFrequency (%)
B 2
25.0%
D 2
25.0%
Y 1
12.5%
M 1
12.5%
C 1
12.5%
A 1
12.5%
Lowercase Letter
ValueCountFrequency (%)
m 1
25.0%
y 1
25.0%
c 1
25.0%
a 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Other Punctuation
ValueCountFrequency (%)
· 2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1344
97.5%
Common 23
 
1.7%
Latin 12
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 70
 
5.2%
협 58
 
4.3%
사 45
 
3.3%
동 41
 
3.1%
합 36
 
2.7%
시 34
 
2.5%
부 31
 
2.3%
조 30
 
2.2%
지 27
 
2.0%
마 23
 
1.7%
Other values (187) 949
70.6%
Latin
ValueCountFrequency (%)
B 2
16.7%
D 2
16.7%
m 1
8.3%
y 1
8.3%
c 1
8.3%
a 1
8.3%
Y 1
8.3%
M 1
8.3%
C 1
8.3%
A 1
8.3%
Common
ValueCountFrequency (%)
) 10
43.5%
( 10
43.5%
· 2
 
8.7%
1 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1344
97.5%
ASCII 33
 
2.4%
None 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 70
 
5.2%
협 58
 
4.3%
사 45
 
3.3%
동 41
 
3.1%
합 36
 
2.7%
시 34
 
2.5%
부 31
 
2.3%
조 30
 
2.2%
지 27
 
2.0%
마 23
 
1.7%
Other values (187) 949
70.6%
ASCII
ValueCountFrequency (%)
) 10
30.3%
( 10
30.3%
B 2
 
6.1%
D 2
 
6.1%
m 1
 
3.0%
1 1
 
3.0%
y 1
 
3.0%
c 1
 
3.0%
a 1
 
3.0%
Y 1
 
3.0%
Other values (3) 3
 
9.1%
None
ValueCountFrequency (%)
· 2
100.0%

소재지
Categorical

Distinct25
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
안성시
21 
수원시
10 
의정부시
10 
안산시
10 
화성시
8 
Other values (20)
71 

Length

Max length4
Median length3
Mean length3.0769231
Min length3

Unique

Unique4 ?
Unique (%)3.1%

Sample

1st row고양시
2nd row화성시
3rd row수원시
4th row수원시
5th row수원시

Common Values

ValueCountFrequency (%)
안성시 21
16.2%
수원시 10
 
7.7%
의정부시 10
 
7.7%
안산시 10
 
7.7%
화성시 8
 
6.2%
용인시 8
 
6.2%
여주시 7
 
5.4%
고양시 7
 
5.4%
평택시 7
 
5.4%
광주시 5
 
3.8%
Other values (15) 37
28.5%

Length

2023-12-11T07:27:27.427601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
안성시 21
16.2%
의정부시 10
 
7.7%
안산시 10
 
7.7%
수원시 10
 
7.7%
화성시 8
 
6.2%
용인시 8
 
6.2%
여주시 7
 
5.4%
고양시 7
 
5.4%
평택시 7
 
5.4%
광주시 5
 
3.8%
Other values (15) 37
28.5%

주소
Text

MISSING 

Distinct70
Distinct (%)60.3%
Missing14
Missing (%)10.8%
Memory size1.1 KiB
2023-12-11T07:27:27.623016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length14.775862
Min length9

Characters and Unicode

Total characters1714
Distinct characters143
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

Unique38 ?
Unique (%)32.8%

Sample

1st row경기고양시일산서구주엽로156
2nd row경기화성시봉담읍하가등안길679
3rd row경기수원시팔달구매산로130번길12
4th row경기수원시팔달구수성로92
5th row경기수원시팔달구매산로130번길12
ValueCountFrequency (%)
경기포천시신북면청신로2072 4
 
3.4%
경기여주시신륵사길7 4
 
3.4%
경기화성시팔탄면구장길14 4
 
3.4%
경기안산시단원구고잔동69811 4
 
3.4%
경기용인시처인구경안천로76 4
 
3.4%
경기용인시처인구원삼면죽양대로1763번길362 4
 
3.4%
경기안성시산수유길15 3
 
2.6%
경기안성시금광면금광오산로228 3
 
2.6%
경기안산시상록구옹기마을길85 2
 
1.7%
경기안산시상록구이동로46 2
 
1.7%
Other values (60) 82
70.7%
2023-12-11T07:27:27.954803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
경 127
 
7.4%
기 118
 
6.9%
시 112
 
6.5%
1 92
 
5.4%
로 77
 
4.5%
2 66
 
3.9%
길 56
 
3.3%
안 42
 
2.5%
7 41
 
2.4%
5 41
 
2.4%
Other values (133) 942
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1297
75.7%
Decimal Number 417
 
24.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 127
 
9.8%
기 118
 
9.1%
시 112
 
8.6%
로 77
 
5.9%
길 56
 
4.3%
안 42
 
3.2%
구 40
 
3.1%
산 33
 
2.5%
면 31
 
2.4%
양 30
 
2.3%
Other values (123) 631
48.7%
Decimal Number
ValueCountFrequency (%)
1 92
22.1%
2 66
15.8%
7 41
9.8%
5 41
9.8%
3 39
9.4%
6 33
 
7.9%
4 33
 
7.9%
8 27
 
6.5%
0 26
 
6.2%
9 19
 
4.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1297
75.7%
Common 417
 
24.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 127
 
9.8%
기 118
 
9.1%
시 112
 
8.6%
로 77
 
5.9%
길 56
 
4.3%
안 42
 
3.2%
구 40
 
3.1%
산 33
 
2.5%
면 31
 
2.4%
양 30
 
2.3%
Other values (123) 631
48.7%
Common
ValueCountFrequency (%)
1 92
22.1%
2 66
15.8%
7 41
9.8%
5 41
9.8%
3 39
9.4%
6 33
 
7.9%
4 33
 
7.9%
8 27
 
6.5%
0 26
 
6.2%
9 19
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1297
75.7%
ASCII 417
 
24.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
경 127
 
9.8%
기 118
 
9.1%
시 112
 
8.6%
로 77
 
5.9%
길 56
 
4.3%
안 42
 
3.2%
구 40
 
3.1%
산 33
 
2.5%
면 31
 
2.4%
양 30
 
2.3%
Other values (123) 631
48.7%
ASCII
ValueCountFrequency (%)
1 92
22.1%
2 66
15.8%
7 41
9.8%
5 41
9.8%
3 39
9.4%
6 33
 
7.9%
4 33
 
7.9%
8 27
 
6.5%
0 26
 
6.2%
9 19
 
4.6%

상세주소
Text

MISSING 

Distinct53
Distinct (%)64.6%
Missing48
Missing (%)36.9%
Memory size1.1 KiB
2023-12-11T07:27:28.181540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length8.4146341
Min length2

Characters and Unicode

Total characters690
Distinct characters134
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 (%)42.7%

Sample

1st row9단지상가동101호
2nd row3층한살림수원생협내
3rd row농민회관별관1층104호
4th row3층한살림수원생협
5th row평택시평택2로13421동201호
ValueCountFrequency (%)
1층 5
 
6.1%
1층두레생협 4
 
4.9%
2층용인시친환경출하회 4
 
4.9%
여주종합관광안내소2층 4
 
4.9%
안성종합사회복지관 3
 
3.7%
종합운동장16호실(마평동 3
 
3.7%
금광면새마을부녀회 2
 
2.4%
서운면인리1074 2
 
2.4%
우리동네협동조합 2
 
2.4%
덕평1리마을회관내풀뿌리밥상 2
 
2.4%
Other values (43) 51
62.2%
2023-12-11T07:27:28.520036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 43
 
6.2%
2 30
 
4.3%
층 28
 
4.1%
0 28
 
4.1%
동 25
 
3.6%
호 22
 
3.2%
회 18
 
2.6%
합 15
 
2.2%
협 13
 
1.9%
사 13
 
1.9%
Other values (124) 455
65.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 538
78.0%
Decimal Number 140
 
20.3%
Open Punctuation 6
 
0.9%
Close Punctuation 6
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 28
 
5.2%
동 25
 
4.6%
호 22
 
4.1%
회 18
 
3.3%
합 15
 
2.8%
협 13
 
2.4%
사 13
 
2.4%
시 13
 
2.4%
리 12
 
2.2%
종 12
 
2.2%
Other values (112) 367
68.2%
Decimal Number
ValueCountFrequency (%)
1 43
30.7%
2 30
21.4%
0 28
20.0%
4 12
 
8.6%
5 10
 
7.1%
3 7
 
5.0%
6 4
 
2.9%
9 3
 
2.1%
7 2
 
1.4%
8 1
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 538
78.0%
Common 152
 
22.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 28
 
5.2%
동 25
 
4.6%
호 22
 
4.1%
회 18
 
3.3%
합 15
 
2.8%
협 13
 
2.4%
사 13
 
2.4%
시 13
 
2.4%
리 12
 
2.2%
종 12
 
2.2%
Other values (112) 367
68.2%
Common
ValueCountFrequency (%)
1 43
28.3%
2 30
19.7%
0 28
18.4%
4 12
 
7.9%
5 10
 
6.6%
3 7
 
4.6%
( 6
 
3.9%
) 6
 
3.9%
6 4
 
2.6%
9 3
 
2.0%
Other values (2) 3
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 538
78.0%
ASCII 152
 
22.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 43
28.3%
2 30
19.7%
0 28
18.4%
4 12
 
7.9%
5 10
 
6.6%
3 7
 
4.6%
( 6
 
3.9%
) 6
 
3.9%
6 4
 
2.6%
9 3
 
2.0%
Other values (2) 3
 
2.0%
Hangul
ValueCountFrequency (%)
층 28
 
5.2%
동 25
 
4.6%
호 22
 
4.1%
회 18
 
3.3%
합 15
 
2.8%
협 13
 
2.4%
사 13
 
2.4%
시 13
 
2.4%
리 12
 
2.2%
종 12
 
2.2%
Other values (112) 367
68.2%

회원수
Real number (ℝ)

Distinct60
Distinct (%)46.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2622.6846
Minimum1
Maximum41000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T07:27:28.654053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q120
median54
Q3230
95-th percentile16997.2
Maximum41000
Range40999
Interquartile range (IQR)210

Descriptive statistics

Standard deviation6963.5409
Coefficient of variation (CV)2.6551194
Kurtosis10.190448
Mean2622.6846
Median Absolute Deviation (MAD)46
Skewness3.1193334
Sum340949
Variance48490902
MonotonicityNot monotonic
2023-12-11T07:27:29.079460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 7
 
5.4%
18 6
 
4.6%
158 5
 
3.8%
40 5
 
3.8%
51 4
 
3.1%
6 4
 
3.1%
13 4
 
3.1%
20 4
 
3.1%
54 4
 
3.1%
14500 4
 
3.1%
Other values (50) 83
63.8%
ValueCountFrequency (%)
1 2
1.5%
3 1
 
0.8%
5 1
 
0.8%
6 4
3.1%
8 1
 
0.8%
10 3
2.3%
13 4
3.1%
14 1
 
0.8%
15 3
2.3%
16 4
3.1%
ValueCountFrequency (%)
41000 1
 
0.8%
30203 1
 
0.8%
27000 1
 
0.8%
24000 1
 
0.8%
21874 2
1.5%
17035 1
 
0.8%
16951 2
1.5%
14500 4
3.1%
14400 1
 
0.8%
14000 1
 
0.8%

설립목적
Text

Distinct88
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T07:27:29.352338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length16.7
Min length6

Characters and Unicode

Total characters2171
Distinct characters251
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)43.1%

Sample

1st row장애인의소외계층의복지향상을목적
2nd row지역에건강한먹거리운동을실천한다
3rd row수원시민의건강먹거리체계구축
4th row국민건강증진과환경생태계의보존농촌활성화기여
5th row밥상살림농업살림생명살림
ValueCountFrequency (%)
친환경농업발전친환경농업의확대국민건강증진 4
 
3.1%
상부상조를바탕으로소비자생활협동조합설립 4
 
3.1%
un이합의한지속가능발전목표의달성 4
 
3.1%
지역내복지사각지대발굴자원발굴등 4
 
3.1%
로컬푸드활성화및식생활교육 3
 
2.3%
지역문화복원및?아가는문화봉사활동 3
 
2.3%
개인과도시농업발전을도모지역사회에봉사 2
 
1.5%
고양시친환경농업인의상호정보교류및권익도모 2
 
1.5%
도시농업연구회 2
 
1.5%
더물어나누는먹거리더불어성장하는우리 2
 
1.5%
Other values (78) 100
76.9%
2023-12-11T07:27:29.787560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 86
 
4.0%
사 66
 
3.0%
농 46
 
2.1%
의 46
 
2.1%
역 45
 
2.1%
한 40
 
1.8%
동 39
 
1.8%
활 35
 
1.6%
생 35
 
1.6%
리 31
 
1.4%
Other values (241) 1702
78.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2150
99.0%
Uppercase Letter 8
 
0.4%
Decimal Number 5
 
0.2%
Other Punctuation 3
 
0.1%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 86
 
4.0%
사 66
 
3.1%
농 46
 
2.1%
의 46
 
2.1%
역 45
 
2.1%
한 40
 
1.9%
동 39
 
1.8%
활 35
 
1.6%
생 35
 
1.6%
리 31
 
1.4%
Other values (233) 1681
78.2%
Uppercase Letter
ValueCountFrequency (%)
N 4
50.0%
U 4
50.0%
Decimal Number
ValueCountFrequency (%)
1 3
60.0%
2 2
40.0%
Other Punctuation
ValueCountFrequency (%)
? 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Symbol
ValueCountFrequency (%)
° 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2150
99.0%
Common 13
 
0.6%
Latin 8
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 86
 
4.0%
사 66
 
3.1%
농 46
 
2.1%
의 46
 
2.1%
역 45
 
2.1%
한 40
 
1.9%
동 39
 
1.8%
활 35
 
1.6%
생 35
 
1.6%
리 31
 
1.4%
Other values (233) 1681
78.2%
Common
ValueCountFrequency (%)
1 3
23.1%
? 3
23.1%
( 2
15.4%
) 2
15.4%
2 2
15.4%
° 1
 
7.7%
Latin
ValueCountFrequency (%)
N 4
50.0%
U 4
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2150
99.0%
ASCII 20
 
0.9%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 86
 
4.0%
사 66
 
3.1%
농 46
 
2.1%
의 46
 
2.1%
역 45
 
2.1%
한 40
 
1.9%
동 39
 
1.8%
활 35
 
1.6%
생 35
 
1.6%
리 31
 
1.4%
Other values (233) 1681
78.2%
ASCII
ValueCountFrequency (%)
N 4
20.0%
U 4
20.0%
1 3
15.0%
? 3
15.0%
( 2
10.0%
) 2
10.0%
2 2
10.0%
None
ValueCountFrequency (%)
° 1
100.0%

설립일
Real number (ℝ)

Distinct80
Distinct (%)61.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18726997
Minimum1984
Maximum20201028
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T07:27:29.940841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1984
5-th percentile200231.45
Q120021226
median20130357
Q320170417
95-th percentile20196111
Maximum20201028
Range20199044
Interquartile range (IQR)149191

Descriptive statistics

Standard deviation5054232.4
Coefficient of variation (CV)0.26989016
Kurtosis9.9816135
Mean18726997
Median Absolute Deviation (MAD)50006
Skewness-3.4357292
Sum2.4345096 × 109
Variance2.5545265 × 1013
MonotonicityNot monotonic
2023-12-11T07:27:30.090672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050503 4
 
3.1%
20020301 4
 
3.1%
20140101 4
 
3.1%
20090101 4
 
3.1%
20100901 4
 
3.1%
20021226 4
 
3.1%
20170417 4
 
3.1%
20200306 3
 
2.3%
20170101 3
 
2.3%
20160527 3
 
2.3%
Other values (70) 93
71.5%
ValueCountFrequency (%)
1984 2
1.5%
1991 1
0.8%
2007 2
1.5%
111201 1
0.8%
200006 1
0.8%
200507 1
0.8%
2016426 1
0.8%
19000101 1
0.8%
19810101 2
1.5%
19840325 2
1.5%
ValueCountFrequency (%)
20201028 1
 
0.8%
20200313 1
 
0.8%
20200306 3
2.3%
20200202 2
1.5%
20191111 1
 
0.8%
20191101 1
 
0.8%
20190909 1
 
0.8%
20190829 1
 
0.8%
20190709 3
2.3%
20190626 2
1.5%

주요사업
Text

MISSING 

Distinct76
Distinct (%)70.4%
Missing22
Missing (%)16.9%
Memory size1.1 KiB
2023-12-11T07:27:30.409042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length34
Mean length24.064815
Min length5

Characters and Unicode

Total characters2599
Distinct characters312
Distinct categories6 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)45.4%

Sample

1st row무료급식이미용봉사보장구무상저검수리
2nd row식생활전반의학습과교육사업지역커뮤니티를위한사업먹거리돌봄사업
3rd row공공급식개선사업먹거리기본계획정책제안사업식생활개선사업외
4th row식생활교육식생활교육운동지원전통식문화계승발전위한사업식생활관련단체교류협력사업
5th row건강한먹거리직거래사업
ValueCountFrequency (%)
지역연대활동매장사업조합원활동사업 4
 
3.7%
학교급식사업과공공급식사업및먹거리사업 4
 
3.7%
경기지역문화재탐방사업및찾아가는우리소리공연용인지명가국악창작공연등불우시설지원사업 3
 
2.8%
도시락판매제조 2
 
1.9%
행복나눔효잔치사랑의김장담그기한가위맞이송편나눔먹거리꾸러미전달 2
 
1.9%
고양시및경기도친환경학교급식추진 2
 
1.9%
창업교육봉사 2
 
1.9%
도시농부학교도시농업전문가과정등교육사업학교텃밭교육사업안산도시농업한마당 2
 
1.9%
농작물체험(교육기관)농산물활용요리교육농가일손돕기및자원봉사 2
 
1.9%
지역조직화사업서비스제공사업사레관리사업 2
 
1.9%
Other values (66) 83
76.9%
2023-12-11T07:27:30.851127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 119
 
4.6%
업 94
 
3.6%
지 58
 
2.2%
교 54
 
2.1%
리 53
 
2.0%
공 52
 
2.0%
및 44
 
1.7%
기 43
 
1.7%
육 42
 
1.6%
동 41
 
1.6%
Other values (302) 1999
76.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2553
98.2%
Decimal Number 14
 
0.5%
Open Punctuation 12
 
0.5%
Close Punctuation 12
 
0.5%
Other Punctuation 5
 
0.2%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 119
 
4.7%
업 94
 
3.7%
지 58
 
2.3%
교 54
 
2.1%
리 53
 
2.1%
공 52
 
2.0%
및 44
 
1.7%
기 43
 
1.7%
육 42
 
1.6%
동 41
 
1.6%
Other values (288) 1953
76.5%
Decimal Number
ValueCountFrequency (%)
1 3
21.4%
2 3
21.4%
0 3
21.4%
3 2
14.3%
6 1
 
7.1%
9 1
 
7.1%
4 1
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
O 1
33.3%
M 1
33.3%
G 1
33.3%
Other Punctuation
ValueCountFrequency (%)
· 4
80.0%
? 1
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2552
98.2%
Common 43
 
1.7%
Latin 3
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 119
 
4.7%
업 94
 
3.7%
지 58
 
2.3%
교 54
 
2.1%
리 53
 
2.1%
공 52
 
2.0%
및 44
 
1.7%
기 43
 
1.7%
육 42
 
1.6%
동 41
 
1.6%
Other values (287) 1952
76.5%
Common
ValueCountFrequency (%)
( 12
27.9%
) 12
27.9%
· 4
 
9.3%
1 3
 
7.0%
2 3
 
7.0%
0 3
 
7.0%
3 2
 
4.7%
6 1
 
2.3%
? 1
 
2.3%
9 1
 
2.3%
Latin
ValueCountFrequency (%)
O 1
33.3%
M 1
33.3%
G 1
33.3%
Han
ValueCountFrequency (%)
千 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2552
98.2%
ASCII 42
 
1.6%
None 4
 
0.2%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 119
 
4.7%
업 94
 
3.7%
지 58
 
2.3%
교 54
 
2.1%
리 53
 
2.1%
공 52
 
2.0%
및 44
 
1.7%
기 43
 
1.7%
육 42
 
1.6%
동 41
 
1.6%
Other values (287) 1952
76.5%
ASCII
ValueCountFrequency (%)
( 12
28.6%
) 12
28.6%
1 3
 
7.1%
2 3
 
7.1%
0 3
 
7.1%
3 2
 
4.8%
6 1
 
2.4%
O 1
 
2.4%
M 1
 
2.4%
G 1
 
2.4%
Other values (3) 3
 
7.1%
None
ValueCountFrequency (%)
· 4
100.0%
CJK
ValueCountFrequency (%)
千 1
100.0%

단체유형
Categorical

Distinct10
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
기타
35 
생협및협동조합
32 
복지단체
25 
사회적기업
13 
도시농업
8 
Other values (5)
17 

Length

Max length8
Median length7
Mean length4.5846154
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row복지단체
2nd row식생활교육단체
3rd row급식운동단체
4th row식생활교육단체
5th row생협및협동조합

Common Values

ValueCountFrequency (%)
기타 35
26.9%
생협및협동조합 32
24.6%
복지단체 25
19.2%
사회적기업 13
 
10.0%
도시농업 8
 
6.2%
생산자단체 7
 
5.4%
시군먹거리위원회 5
 
3.8%
식생활교육단체 2
 
1.5%
소비자단체 2
 
1.5%
급식운동단체 1
 
0.8%

Length

2023-12-11T07:27:30.996452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:27:31.119339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 35
26.9%
생협및협동조합 32
24.6%
복지단체 25
19.2%
사회적기업 13
 
10.0%
도시농업 8
 
6.2%
생산자단체 7
 
5.4%
시군먹거리위원회 5
 
3.8%
식생활교육단체 2
 
1.5%
소비자단체 2
 
1.5%
급식운동단체 1
 
0.8%

등록일시
Date

Distinct88
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2019-06-17 11:41:00
Maximum2022-02-17 20:36:09
2023-12-11T07:27:31.281880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:27:31.427935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수정일시
Date

Distinct88
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2019-06-20 14:40:29
Maximum2022-07-28 15:37:51
2023-12-11T07:27:31.548962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:27:31.690035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-11T07:27:26.332503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:27:26.196816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:27:26.409872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:27:26.256401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:27:31.790003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단체명소재지주소상세주소회원수설립목적설립일주요사업단체유형등록일시수정일시
단체명1.0001.0001.0000.9990.9971.0001.0001.0000.9991.0001.000
소재지1.0001.0001.0000.9950.6641.0000.2821.0000.7661.0001.000
주소1.0001.0001.0000.9980.9901.0000.9661.0000.9971.0001.000
상세주소0.9990.9950.9981.0000.9921.0001.0001.0000.9911.0001.000
회원수0.9970.6640.9900.9921.0001.0000.7091.0000.0001.0001.000
설립목적1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
설립일1.0000.2820.9661.0000.7091.0001.0001.0000.5361.0001.000
주요사업1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
단체유형0.9990.7660.9970.9910.0001.0000.5361.0001.0001.0001.000
등록일시1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
수정일시1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-11T07:27:31.917282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지단체유형
소재지1.0000.366
단체유형0.3661.000
2023-12-11T07:27:32.015078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회원수설립일소재지단체유형
회원수1.000-0.4120.3090.000
설립일-0.4121.0000.2600.311
소재지0.3090.2601.0000.366
단체유형0.0000.3110.3661.000

Missing values

2023-12-11T07:27:26.551198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:27:26.702343image/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.
2023-12-11T07:27:26.786546image/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

단체명소재지주소상세주소회원수설립목적설립일주요사업단체유형등록일시수정일시
0사단법인장애인권익지원협회고양시지부고양시경기고양시일산서구주엽로1569단지상가동101호148장애인의소외계층의복지향상을목적20160306무료급식이미용봉사보장구무상저검수리복지단체2021-01-06 20:38:57.02021-01-29 14:18:23.0
1마션테이블화성시경기화성시봉담읍하가등안길679<NA>10지역에건강한먹거리운동을실천한다20190829식생활전반의학습과교육사업지역커뮤니티를위한사업먹거리돌봄사업식생활교육단체2021-01-26 20:32:38.02021-01-29 14:18:41.0
2수원건강먹거리시민네트워크수원시경기수원시팔달구매산로130번길123층한살림수원생협내14수원시민의건강먹거리체계구축2016426공공급식개선사업먹거리기본계획정책제안사업식생활개선사업외급식운동단체2021-02-04 19:16:15.02021-02-09 09:41:51.0
3(사)식생활교육수원네트워크수원시경기수원시팔달구수성로92농민회관별관1층104호18국민건강증진과환경생태계의보존농촌활성화기여20140822식생활교육식생활교육운동지원전통식문화계승발전위한사업식생활관련단체교류협력사업식생활교육단체2021-02-26 10:31:21.02021-03-25 15:31:03.0
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