Overview

Dataset statistics

Number of variables11
Number of observations925
Missing cells140
Missing cells (%)1.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory81.4 KiB
Average record size in memory90.1 B

Variable types

Numeric2
Text6
DateTime1
Categorical2

Dataset

Description비영리민간단체_등록현황20165월말
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=202755

Alerts

등록구분 (신규,변경) is highly overall correlated with 연번 and 2 other fieldsHigh correlation
주관과 is highly overall correlated with 등록구분 (신규,변경)High correlation
연번 is highly overall correlated with 등록구분 (신규,변경)High correlation
회원수 is highly overall correlated with 등록구분 (신규,변경)High correlation
주된사업 has 33 (3.6%) missing valuesMissing
연락처 has 106 (11.5%) missing valuesMissing
연번 has unique valuesUnique
등록번호 (구등록번호) has unique valuesUnique
회원수 has 158 (17.1%) zerosZeros

Reproduction

Analysis started2024-03-13 23:54:47.115109
Analysis finished2024-03-13 23:54:48.547313
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct925
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean463
Minimum1
Maximum925
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2024-03-14T08:54:48.610080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile47.2
Q1232
median463
Q3694
95-th percentile878.8
Maximum925
Range924
Interquartile range (IQR)462

Descriptive statistics

Standard deviation267.1688
Coefficient of variation (CV)0.57703844
Kurtosis-1.2
Mean463
Median Absolute Deviation (MAD)231
Skewness0
Sum428275
Variance71379.167
MonotonicityStrictly increasing
2024-03-14T08:54:48.731570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
609 1
 
0.1%
611 1
 
0.1%
612 1
 
0.1%
613 1
 
0.1%
614 1
 
0.1%
615 1
 
0.1%
616 1
 
0.1%
617 1
 
0.1%
618 1
 
0.1%
Other values (915) 915
98.9%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
925 1
0.1%
924 1
0.1%
923 1
0.1%
922 1
0.1%
921 1
0.1%
920 1
0.1%
919 1
0.1%
918 1
0.1%
917 1
0.1%
916 1
0.1%

등록번호 (구등록번호)
Text

UNIQUE 

Distinct925
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2024-03-14T08:54:48.901736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length30
Mean length16.010811
Min length13

Characters and Unicode

Total characters14810
Distinct characters21
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

Unique925 ?
Unique (%)100.0%

Sample

1st row2000-1-전라북도-1(1)
2nd row2000-1-전라북도-2(3)
3rd row2000-1-전라북도-3(4)
4th row2000-1-전라북도-4(5)
5th row2000-1-전라북도-5(6)
ValueCountFrequency (%)
2000-1-전라북도-1(1 1
 
0.1%
2009-1-전라북도-42 1
 
0.1%
2009-1-전라북도-12 1
 
0.1%
2009-1-전라북도-13 1
 
0.1%
2009-1-전라북도-14 1
 
0.1%
2009-1-전라북도-15 1
 
0.1%
2009-1-전라북도-16 1
 
0.1%
2009-1-전라북도-19 1
 
0.1%
2009-1-전라북도-20 1
 
0.1%
2009-1-전라북도-21 1
 
0.1%
Other values (915) 915
98.9%
2024-03-14T08:54:49.257411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2792
18.9%
0 2031
13.7%
1 1740
11.7%
2 1415
9.6%
전 928
 
6.3%
라 928
 
6.3%
북 928
 
6.3%
도 928
 
6.3%
3 467
 
3.2%
( 393
 
2.7%
Other values (11) 2260
15.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7514
50.7%
Other Letter 3718
25.1%
Dash Punctuation 2792
 
18.9%
Open Punctuation 393
 
2.7%
Close Punctuation 393
 
2.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2031
27.0%
1 1740
23.2%
2 1415
18.8%
3 467
 
6.2%
4 338
 
4.5%
5 314
 
4.2%
9 306
 
4.1%
7 306
 
4.1%
8 300
 
4.0%
6 297
 
4.0%
Other Letter
ValueCountFrequency (%)
전 928
25.0%
라 928
25.0%
북 928
25.0%
도 928
25.0%
제 2
 
0.1%
호 2
 
0.1%
신 1
 
< 0.1%
규 1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 2792
100.0%
Open Punctuation
ValueCountFrequency (%)
( 393
100.0%
Close Punctuation
ValueCountFrequency (%)
) 393
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11092
74.9%
Hangul 3718
 
25.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2792
25.2%
0 2031
18.3%
1 1740
15.7%
2 1415
12.8%
3 467
 
4.2%
( 393
 
3.5%
) 393
 
3.5%
4 338
 
3.0%
5 314
 
2.8%
9 306
 
2.8%
Other values (3) 903
 
8.1%
Hangul
ValueCountFrequency (%)
전 928
25.0%
라 928
25.0%
북 928
25.0%
도 928
25.0%
제 2
 
0.1%
호 2
 
0.1%
신 1
 
< 0.1%
규 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11092
74.9%
Hangul 3718
 
25.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2792
25.2%
0 2031
18.3%
1 1740
15.7%
2 1415
12.8%
3 467
 
4.2%
( 393
 
3.5%
) 393
 
3.5%
4 338
 
3.0%
5 314
 
2.8%
9 306
 
2.8%
Other values (3) 903
 
8.1%
Hangul
ValueCountFrequency (%)
전 928
25.0%
라 928
25.0%
북 928
25.0%
도 928
25.0%
제 2
 
0.1%
호 2
 
0.1%
신 1
 
< 0.1%
규 1
 
< 0.1%

단체명칭
Text

Distinct924
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2024-03-14T08:54:49.459575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length10.76973
Min length3

Characters and Unicode

Total characters9962
Distinct characters437
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique923 ?
Unique (%)99.8%

Sample

1st row한국여성소비자연합 전주.전북지회
2nd row자연보호 전주시협의회
3rd row자연보호 전라북도협의회
4th row전주여성의전화
5th row전북여성농민회연합
ValueCountFrequency (%)
바르게살기운동 15
 
1.2%
한국농업경영인 14
 
1.1%
전북지부 14
 
1.1%
전라북도지부 9
 
0.7%
전라북도 8
 
0.6%
전주 7
 
0.5%
자연보호 7
 
0.5%
익산지부 6
 
0.5%
익산시 5
 
0.4%
사단법인 5
 
0.4%
Other values (1094) 1207
93.1%
2024-03-14T08:54:49.752220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 530
 
5.3%
전 417
 
4.2%
373
 
3.7%
북 277
 
2.8%
지 253
 
2.5%
연 220
 
2.2%
사 205
 
2.1%
부 175
 
1.8%
협 174
 
1.7%
국 168
 
1.7%
Other values (427) 7170
72.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9377
94.1%
Space Separator 373
 
3.7%
Uppercase Letter 83
 
0.8%
Decimal Number 42
 
0.4%
Close Punctuation 39
 
0.4%
Other Punctuation 21
 
0.2%
Lowercase Letter 12
 
0.1%
Open Punctuation 11
 
0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 530
 
5.7%
전 417
 
4.4%
북 277
 
3.0%
지 253
 
2.7%
연 220
 
2.3%
사 205
 
2.2%
부 175
 
1.9%
협 174
 
1.9%
국 168
 
1.8%
한 164
 
1.7%
Other values (386) 6794
72.5%
Uppercase Letter
ValueCountFrequency (%)
C 15
18.1%
A 14
16.9%
Y 11
13.3%
M 9
10.8%
O 5
 
6.0%
W 5
 
6.0%
H 4
 
4.8%
N 4
 
4.8%
G 4
 
4.8%
B 3
 
3.6%
Other values (6) 9
10.8%
Decimal Number
ValueCountFrequency (%)
2 12
28.6%
1 8
19.0%
5 7
16.7%
6 6
14.3%
4 4
 
9.5%
3 2
 
4.8%
0 2
 
4.8%
8 1
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
p 2
16.7%
a 2
16.7%
y 2
16.7%
e 2
16.7%
t 1
8.3%
g 1
8.3%
n 1
8.3%
o 1
8.3%
Other Punctuation
ValueCountFrequency (%)
. 14
66.7%
· 5
 
23.8%
, 2
 
9.5%
Close Punctuation
ValueCountFrequency (%)
) 38
97.4%
] 1
 
2.6%
Open Punctuation
ValueCountFrequency (%)
( 10
90.9%
[ 1
 
9.1%
Space Separator
ValueCountFrequency (%)
373
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9377
94.1%
Common 490
 
4.9%
Latin 95
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 530
 
5.7%
전 417
 
4.4%
북 277
 
3.0%
지 253
 
2.7%
연 220
 
2.3%
사 205
 
2.2%
부 175
 
1.9%
협 174
 
1.9%
국 168
 
1.8%
한 164
 
1.7%
Other values (386) 6794
72.5%
Latin
ValueCountFrequency (%)
C 15
15.8%
A 14
14.7%
Y 11
11.6%
M 9
9.5%
O 5
 
5.3%
W 5
 
5.3%
H 4
 
4.2%
N 4
 
4.2%
G 4
 
4.2%
B 3
 
3.2%
Other values (14) 21
22.1%
Common
ValueCountFrequency (%)
373
76.1%
) 38
 
7.8%
. 14
 
2.9%
2 12
 
2.4%
( 10
 
2.0%
1 8
 
1.6%
5 7
 
1.4%
6 6
 
1.2%
· 5
 
1.0%
4 4
 
0.8%
Other values (7) 13
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9377
94.1%
ASCII 580
 
5.8%
None 5
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 530
 
5.7%
전 417
 
4.4%
북 277
 
3.0%
지 253
 
2.7%
연 220
 
2.3%
사 205
 
2.2%
부 175
 
1.9%
협 174
 
1.9%
국 168
 
1.8%
한 164
 
1.7%
Other values (386) 6794
72.5%
ASCII
ValueCountFrequency (%)
373
64.3%
) 38
 
6.6%
C 15
 
2.6%
. 14
 
2.4%
A 14
 
2.4%
2 12
 
2.1%
Y 11
 
1.9%
( 10
 
1.7%
M 9
 
1.6%
1 8
 
1.4%
Other values (30) 76
 
13.1%
None
ValueCountFrequency (%)
· 5
100.0%

사무소의 소재지
Text

Distinct875
Distinct (%)94.7%
Missing1
Missing (%)0.1%
Memory size7.4 KiB
2024-03-14T08:54:50.027004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length42
Mean length26.556277
Min length15

Characters and Unicode

Total characters24538
Distinct characters305
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique838 ?
Unique (%)90.7%

Sample

1st row전라북도 전주시 완산구 전룡4길 8 (서신동)
2nd row전라북도 전주시덕진구 금암동 금암2동 1587-76
3rd row전라북도 전주시 덕진구 기린대로 451 (덕진동1가)
4th row전라북도 전주시 완산구 효자로 338, 3호 (중화산동2가)
5th row전라북도 전주시완산구 서신동 813-1
ValueCountFrequency (%)
전라북도 924
 
19.1%
전주시완산구 179
 
3.7%
익산시 142
 
2.9%
전주시 134
 
2.8%
전주시덕진구 104
 
2.1%
완산구 90
 
1.9%
군산시 75
 
1.5%
1호 56
 
1.2%
정읍시 50
 
1.0%
덕진구 44
 
0.9%
Other values (1439) 3043
62.9%
2024-03-14T08:54:50.447735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5239
21.4%
전 1382
 
5.6%
북 970
 
4.0%
도 945
 
3.9%
라 943
 
3.8%
1 908
 
3.7%
동 809
 
3.3%
시 761
 
3.1%
산 582
 
2.4%
2 579
 
2.4%
Other values (295) 11420
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14470
59.0%
Space Separator 5239
 
21.4%
Decimal Number 3915
 
16.0%
Dash Punctuation 276
 
1.1%
Close Punctuation 264
 
1.1%
Open Punctuation 263
 
1.1%
Other Punctuation 89
 
0.4%
Uppercase Letter 11
 
< 0.1%
Math Symbol 10
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 1382
 
9.6%
북 970
 
6.7%
도 945
 
6.5%
라 943
 
6.5%
동 809
 
5.6%
시 761
 
5.3%
산 582
 
4.0%
주 500
 
3.5%
지 460
 
3.2%
구 433
 
3.0%
Other values (271) 6685
46.2%
Decimal Number
ValueCountFrequency (%)
1 908
23.2%
2 579
14.8%
3 410
10.5%
4 408
10.4%
5 316
 
8.1%
6 304
 
7.8%
0 292
 
7.5%
7 256
 
6.5%
8 222
 
5.7%
9 220
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
C 3
27.3%
A 2
18.2%
M 2
18.2%
Y 2
18.2%
G 1
 
9.1%
F 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 87
97.8%
@ 2
 
2.2%
Space Separator
ValueCountFrequency (%)
5239
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 276
100.0%
Close Punctuation
ValueCountFrequency (%)
) 264
100.0%
Open Punctuation
ValueCountFrequency (%)
( 263
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14470
59.0%
Common 10056
41.0%
Latin 12
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 1382
 
9.6%
북 970
 
6.7%
도 945
 
6.5%
라 943
 
6.5%
동 809
 
5.6%
시 761
 
5.3%
산 582
 
4.0%
주 500
 
3.5%
지 460
 
3.2%
구 433
 
3.0%
Other values (271) 6685
46.2%
Common
ValueCountFrequency (%)
5239
52.1%
1 908
 
9.0%
2 579
 
5.8%
3 410
 
4.1%
4 408
 
4.1%
5 316
 
3.1%
6 304
 
3.0%
0 292
 
2.9%
- 276
 
2.7%
) 264
 
2.6%
Other values (7) 1060
 
10.5%
Latin
ValueCountFrequency (%)
C 3
25.0%
A 2
16.7%
M 2
16.7%
Y 2
16.7%
G 1
 
8.3%
e 1
 
8.3%
F 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14470
59.0%
ASCII 10068
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5239
52.0%
1 908
 
9.0%
2 579
 
5.8%
3 410
 
4.1%
4 408
 
4.1%
5 316
 
3.1%
6 304
 
3.0%
0 292
 
2.9%
- 276
 
2.7%
) 264
 
2.6%
Other values (14) 1072
 
10.6%
Hangul
ValueCountFrequency (%)
전 1382
 
9.6%
북 970
 
6.7%
도 945
 
6.5%
라 943
 
6.5%
동 809
 
5.6%
시 761
 
5.3%
산 582
 
4.0%
주 500
 
3.5%
지 460
 
3.2%
구 433
 
3.0%
Other values (271) 6685
46.2%

대표자성명
Text

Distinct854
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2024-03-14T08:54:50.747110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length3
Mean length3.0756757
Min length2

Characters and Unicode

Total characters2845
Distinct characters208
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique796 ?
Unique (%)86.1%

Sample

1st row정순례
2nd row강찬원
3rd row진창환
4th row조 숙
5th row이재현
ValueCountFrequency (%)
김영구 4
 
0.4%
외 4
 
0.4%
박재만 3
 
0.3%
김재승 3
 
0.3%
김종영 3
 
0.3%
허종현 3
 
0.3%
김택천 3
 
0.3%
김양옥 3
 
0.3%
김완자 3
 
0.3%
조현숙 3
 
0.3%
Other values (865) 918
96.6%
2024-03-14T08:54:51.121615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 201
 
7.1%
이 132
 
4.6%
정 92
 
3.2%
영 91
 
3.2%
박 59
 
2.1%
희 52
 
1.8%
최 50
 
1.8%
수 49
 
1.7%
순 48
 
1.7%
현 41
 
1.4%
Other values (198) 2030
71.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2800
98.4%
Space Separator 26
 
0.9%
Decimal Number 8
 
0.3%
Other Punctuation 7
 
0.2%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 201
 
7.2%
이 132
 
4.7%
정 92
 
3.3%
영 91
 
3.2%
박 59
 
2.1%
희 52
 
1.9%
최 50
 
1.8%
수 49
 
1.8%
순 48
 
1.7%
현 41
 
1.5%
Other values (187) 1985
70.9%
Decimal Number
ValueCountFrequency (%)
1 3
37.5%
4 2
25.0%
3 2
25.0%
2 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 6
85.7%
. 1
 
14.3%
Space Separator
ValueCountFrequency (%)
26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
> 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2800
98.4%
Common 45
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 201
 
7.2%
이 132
 
4.7%
정 92
 
3.3%
영 91
 
3.2%
박 59
 
2.1%
희 52
 
1.9%
최 50
 
1.8%
수 49
 
1.8%
순 48
 
1.7%
현 41
 
1.5%
Other values (187) 1985
70.9%
Common
ValueCountFrequency (%)
26
57.8%
, 6
 
13.3%
1 3
 
6.7%
4 2
 
4.4%
3 2
 
4.4%
) 1
 
2.2%
( 1
 
2.2%
> 1
 
2.2%
- 1
 
2.2%
2 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2800
98.4%
ASCII 45
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 201
 
7.2%
이 132
 
4.7%
정 92
 
3.3%
영 91
 
3.2%
박 59
 
2.1%
희 52
 
1.9%
최 50
 
1.8%
수 49
 
1.8%
순 48
 
1.7%
현 41
 
1.5%
Other values (187) 1985
70.9%
ASCII
ValueCountFrequency (%)
26
57.8%
, 6
 
13.3%
1 3
 
6.7%
4 2
 
4.4%
3 2
 
4.4%
) 1
 
2.2%
( 1
 
2.2%
> 1
 
2.2%
- 1
 
2.2%
2 1
 
2.2%

등록연월일
Date

Distinct653
Distinct (%)70.6%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
Minimum2000-04-19 00:00:00
Maximum2016-05-23 00:00:00
2024-03-14T08:54:51.270958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:54:51.695001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

주된사업
Text

MISSING 

Distinct865
Distinct (%)97.0%
Missing33
Missing (%)3.6%
Memory size7.4 KiB
2024-03-14T08:54:51.949131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length290
Median length137
Mean length38.98991
Min length4

Characters and Unicode

Total characters34779
Distinct characters540
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique846 ?
Unique (%)94.8%

Sample

1st row소비자 고발센타 운영
2nd row환경보전(자연보호 운동)
3rd row환경보전(자연보호 운동)
4th row여성의 인권과 복지증진, 위기의 여성상담
5th row여성농민을 위한 정책사업, 여름 농활 동시 연대사업
ValueCountFrequency (%)
및 586
 
7.2%
등 299
 
3.7%
위한 247
 
3.0%
227
 
2.8%
사업 162
 
2.0%
교육 89
 
1.1%
○ 82
 
1.0%
활동 68
 
0.8%
청소년 62
 
0.8%
운영 56
 
0.7%
Other values (3321) 6290
77.0%
2024-03-14T08:54:52.368486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6981
 
20.1%
사 1113
 
3.2%
, 670
 
1.9%
및 642
 
1.8%
업 622
 
1.8%
611
 
1.8%
지 605
 
1.7%
동 518
 
1.5%
한 506
 
1.5%
의 462
 
1.3%
Other values (530) 22049
63.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25416
73.1%
Space Separator 6981
 
20.1%
Other Punctuation 1014
 
2.9%
Control 611
 
1.8%
Decimal Number 247
 
0.7%
Dash Punctuation 245
 
0.7%
Other Symbol 84
 
0.2%
Open Punctuation 56
 
0.2%
Close Punctuation 55
 
0.2%
Lowercase Letter 33
 
0.1%
Other values (3) 37
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 1113
 
4.4%
및 642
 
2.5%
업 622
 
2.4%
지 605
 
2.4%
동 518
 
2.0%
한 506
 
2.0%
의 462
 
1.8%
교 440
 
1.7%
활 429
 
1.7%
육 377
 
1.5%
Other values (492) 19702
77.5%
Decimal Number
ValueCountFrequency (%)
1 48
19.4%
2 48
19.4%
3 42
17.0%
4 37
15.0%
0 31
12.6%
5 16
 
6.5%
6 12
 
4.9%
7 7
 
2.8%
8 3
 
1.2%
9 3
 
1.2%
Other Punctuation
ValueCountFrequency (%)
, 670
66.1%
. 287
28.3%
· 35
 
3.5%
? 16
 
1.6%
' 2
 
0.2%
: 2
 
0.2%
& 1
 
0.1%
/ 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
H 8
36.4%
O 8
36.4%
M 2
 
9.1%
A 1
 
4.5%
E 1
 
4.5%
G 1
 
4.5%
N 1
 
4.5%
Other Number
ValueCountFrequency (%)
④ 3
25.0%
③ 3
25.0%
② 3
25.0%
① 3
25.0%
Modifier Symbol
ValueCountFrequency (%)
˙ 2
66.7%
` 1
33.3%
Space Separator
ValueCountFrequency (%)
6981
100.0%
Control
ValueCountFrequency (%)
611
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 245
100.0%
Other Symbol
ValueCountFrequency (%)
○ 84
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Lowercase Letter
ValueCountFrequency (%)
o 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25416
73.1%
Common 9308
 
26.8%
Latin 55
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1113
 
4.4%
및 642
 
2.5%
업 622
 
2.4%
지 605
 
2.4%
동 518
 
2.0%
한 506
 
2.0%
의 462
 
1.8%
교 440
 
1.7%
활 429
 
1.7%
육 377
 
1.5%
Other values (492) 19702
77.5%
Common
ValueCountFrequency (%)
6981
75.0%
, 670
 
7.2%
611
 
6.6%
. 287
 
3.1%
- 245
 
2.6%
○ 84
 
0.9%
( 56
 
0.6%
) 55
 
0.6%
1 48
 
0.5%
2 48
 
0.5%
Other values (20) 223
 
2.4%
Latin
ValueCountFrequency (%)
o 33
60.0%
H 8
 
14.5%
O 8
 
14.5%
M 2
 
3.6%
A 1
 
1.8%
E 1
 
1.8%
G 1
 
1.8%
N 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25388
73.0%
ASCII 9230
 
26.5%
Geometric Shapes 84
 
0.2%
None 35
 
0.1%
Compat Jamo 28
 
0.1%
Enclosed Alphanum 12
 
< 0.1%
Modifier Letters 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6981
75.6%
, 670
 
7.3%
611
 
6.6%
. 287
 
3.1%
- 245
 
2.7%
( 56
 
0.6%
) 55
 
0.6%
1 48
 
0.5%
2 48
 
0.5%
3 42
 
0.5%
Other values (21) 187
 
2.0%
Hangul
ValueCountFrequency (%)
사 1113
 
4.4%
및 642
 
2.5%
업 622
 
2.4%
지 605
 
2.4%
동 518
 
2.0%
한 506
 
2.0%
의 462
 
1.8%
교 440
 
1.7%
활 429
 
1.7%
육 377
 
1.5%
Other values (490) 19674
77.5%
Geometric Shapes
ValueCountFrequency (%)
○ 84
100.0%
None
ValueCountFrequency (%)
· 35
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 27
96.4%
ㆍ 1
 
3.6%
Enclosed Alphanum
ValueCountFrequency (%)
④ 3
25.0%
③ 3
25.0%
② 3
25.0%
① 3
25.0%
Modifier Letters
ValueCountFrequency (%)
˙ 2
100.0%

연락처
Text

MISSING 

Distinct764
Distinct (%)93.3%
Missing106
Missing (%)11.5%
Memory size7.4 KiB
2024-03-14T08:54:52.568445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.010989
Min length12

Characters and Unicode

Total characters9837
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

Unique718 ?
Unique (%)87.7%

Sample

1st row063-282-9898
2nd row063-278-2332
3rd row063-278-2332
4th row063-287-7324
5th row063-253-1129
ValueCountFrequency (%)
063-271-5454 4
 
0.5%
063-433-6556 3
 
0.4%
063-277-1234 3
 
0.4%
063-232-8100 3
 
0.4%
063-232-5561 3
 
0.4%
063-838-6500 3
 
0.4%
063-625-5433 3
 
0.4%
063-226-9861 3
 
0.4%
063-229-0485 2
 
0.2%
063-274-7720 2
 
0.2%
Other values (754) 790
96.5%
2024-03-14T08:54:52.890502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1638
16.7%
3 1518
15.4%
6 1306
13.3%
0 1295
13.2%
2 997
10.1%
5 707
7.2%
4 600
 
6.1%
8 580
 
5.9%
1 533
 
5.4%
7 394
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8199
83.3%
Dash Punctuation 1638
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1518
18.5%
6 1306
15.9%
0 1295
15.8%
2 997
12.2%
5 707
8.6%
4 600
 
7.3%
8 580
 
7.1%
1 533
 
6.5%
7 394
 
4.8%
9 269
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 1638
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9837
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1638
16.7%
3 1518
15.4%
6 1306
13.3%
0 1295
13.2%
2 997
10.1%
5 707
7.2%
4 600
 
6.1%
8 580
 
5.9%
1 533
 
5.4%
7 394
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9837
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1638
16.7%
3 1518
15.4%
6 1306
13.3%
0 1295
13.2%
2 997
10.1%
5 707
7.2%
4 600
 
6.1%
8 580
 
5.9%
1 533
 
5.4%
7 394
 
4.0%

주관과
Categorical

HIGH CORRELATION 

Distinct45
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
문화예술과
169 
여성청소년과
138 
대외협력과
104 
노인장애인복지과
80 
행정지원관실
76 
Other values (40)
358 

Length

Max length13
Median length5
Mean length5.6248649
Min length3

Unique

Unique21 ?
Unique (%)2.3%

Sample

1st row여성청소년과
2nd row환경보전과
3rd row환경보전과
4th row여성청소년과
5th row여성청소년과

Common Values

ValueCountFrequency (%)
문화예술과 169
18.3%
여성청소년과 138
14.9%
대외협력과 104
11.2%
노인장애인복지과 80
8.6%
행정지원관실 76
8.2%
환경보전과 74
8.0%
다문화교류과 42
 
4.5%
미래농업과 34
 
3.7%
사회복지과 30
 
3.2%
보건의료과 22
 
2.4%
Other values (35) 156
16.9%

Length

2024-03-14T08:54:52.999211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
문화예술과 169
18.2%
여성청소년과 138
14.9%
대외협력과 104
11.2%
노인장애인복지과 80
8.6%
행정지원관실 76
8.2%
환경보전과 74
8.0%
다문화교류과 42
 
4.5%
미래농업과 34
 
3.7%
사회복지과 30
 
3.2%
보건의료과 22
 
2.4%
Other values (36) 158
17.0%

등록구분 (신규,변경)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
등록
746 
<NA>
179 

Length

Max length4
Median length2
Mean length2.387027
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row등록
2nd row등록
3rd row<NA>
4th row<NA>
5th row등록

Common Values

ValueCountFrequency (%)
등록 746
80.6%
<NA> 179
 
19.4%

Length

2024-03-14T08:54:53.098880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T08:54:53.190006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
등록 746
80.6%
na 179
 
19.4%

회원수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct259
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1221.4551
Minimum0
Maximum276629
Zeros158
Zeros (%)17.1%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2024-03-14T08:54:53.291911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1100
median115
Q3187
95-th percentile2031.2
Maximum276629
Range276629
Interquartile range (IQR)87

Descriptive statistics

Standard deviation12017.332
Coefficient of variation (CV)9.8385376
Kurtosis368.06852
Mean1221.4551
Median Absolute Deviation (MAD)35
Skewness18.292355
Sum1129846
Variance1.4441628 × 108
MonotonicityNot monotonic
2024-03-14T08:54:53.419340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 158
 
17.1%
100 75
 
8.1%
105 29
 
3.1%
110 26
 
2.8%
102 25
 
2.7%
120 24
 
2.6%
101 23
 
2.5%
104 21
 
2.3%
103 19
 
2.1%
150 17
 
1.8%
Other values (249) 508
54.9%
ValueCountFrequency (%)
0 158
17.1%
10 1
 
0.1%
54 1
 
0.1%
100 75
8.1%
101 23
 
2.5%
102 25
 
2.7%
103 19
 
2.1%
104 21
 
2.3%
105 29
 
3.1%
106 15
 
1.6%
ValueCountFrequency (%)
276629 1
0.1%
177850 1
0.1%
139832 1
0.1%
54473 1
0.1%
29274 1
0.1%
22343 1
0.1%
18926 1
0.1%
18186 1
0.1%
15000 1
0.1%
14802 1
0.1%

Interactions

2024-03-14T08:54:48.045911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:54:47.880690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:54:48.129259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:54:47.961778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T08:54:53.530929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번주관과회원수
연번1.0000.6260.000
주관과0.6261.0000.000
회원수0.0000.0001.000
2024-03-14T08:54:53.665740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록구분 (신규,변경)주관과
등록구분\n(신규,변경)1.0001.000
주관과1.0001.000
2024-03-14T08:54:53.772229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번회원수주관과등록구분 (신규,변경)
연번1.0000.0030.2631.000
회원수0.0031.0000.0001.000
주관과0.2630.0001.0001.000
등록구분\n(신규,변경)1.0001.0001.0001.000

Missing values

2024-03-14T08:54:48.249537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T08:54:48.371049image/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.
2024-03-14T08:54:48.484091image/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

연번등록번호 (구등록번호)단체명칭사무소의 소재지대표자성명등록연월일주된사업연락처주관과등록구분 (신규,변경)회원수
012000-1-전라북도-1(1)한국여성소비자연합 전주.전북지회전라북도 전주시 완산구 전룡4길 8 (서신동)정순례2000-04-19소비자 고발센타 운영063-282-9898여성청소년과등록2300
122000-1-전라북도-2(3)자연보호 전주시협의회전라북도 전주시덕진구 금암동 금암2동 1587-76강찬원2000-04-20환경보전(자연보호 운동)063-278-2332환경보전과등록150
232000-1-전라북도-3(4)자연보호 전라북도협의회전라북도 전주시 덕진구 기린대로 451 (덕진동1가)진창환2000-04-20환경보전(자연보호 운동)063-278-2332환경보전과<NA>1893
342000-1-전라북도-4(5)전주여성의전화전라북도 전주시 완산구 효자로 338, 3호 (중화산동2가)조 숙2000-04-26여성의 인권과 복지증진, 위기의 여성상담063-287-7324여성청소년과<NA>550
452000-1-전라북도-5(6)전북여성농민회연합전라북도 전주시완산구 서신동 813-1이재현2000-04-26여성농민을 위한 정책사업, 여름 농활 동시 연대사업063-253-1129여성청소년과등록2000
562000-1-전라북도-6(7)남원YWCA전라북도 남원시 시청로 65 (향교동)인영희2000-04-26청소년 어울마당, 가정폭력 상담, 여성교육063-632-7002여성청소년과<NA>725
672000-1-전라북도-7(8)법률구조법인한국가정법률상담소전주지부전라북도 전주시 완산구 노송광장로 7 (서노송동)김완자2000-04-26무료법률구조사업063-244-2930여성청소년과<NA>180
782000-1-전라북도-8(10)전북여성단체연합전라북도 전주시완산구 서서학동 331번지 16호조선희2000-04-27여성의 지위향상, 여성 사회참여 확대 등063-287-3459여성청소년과등록54473
892000-1-전라북도-9(11)전북여성노동자회전라북도 전주시완산구 평화동1가 422번지 2호신민경2000-04-27여성모성 보호권을 위한 사업, 여성 권리향상을 위한 사업063-287-6333여성청소년과<NA>105
9102000-1-전라북도-10(12)대한적십자사 군산지구협의회전라북도 군산시 삼학6길 25 (미원동)최복님2000-04-27적십자의 인도주의 정신에 입각한 제반봉사 활동 협의회의 권익신장을 위한 사업063-462-3814여성청소년과등록270
연번등록번호 (구등록번호)단체명칭사무소의 소재지대표자성명등록연월일주된사업연락처주관과등록구분 (신규,변경)회원수
9159162015-1-전라북도-34임실군합창단전라북도 임실군 임실읍 봉황11길 26-2최정옥2015-12-29임실군 음악발전을 위한 타 단체와의 공동연구 임실군 음악발전을 위한 세미나 및 공개강좌 임실군 역사 문화적 정체성을 음악적으로 재조명하는 사업 소외된 지역과 계층을 위한 공연 등063-642-0962문화예술과등록105
9169172016-1-전라북도-1정읍자율방범연합회전라북도 정읍시 서부로 9 (연지동)최승규2016-01-05① 야간 관내 전지역 순찰 ② 농축산물 도난예방 등 각종 범조예방을 위한 관내지역 순찰 ③ 학교 앞 교통 캠페인 ④ 기타 목적달성에 필요한 사업<NA>자치행정과등록861
9179182016-1-전라북도-2정읍시그린리더협의회전라북도 정읍시 수성3로 43-6 (수성동)백인출2016-03-02저탄소 녹색생활 실천운동 추진, 온실가스 감축 컨설팅, 그린리더양성<NA>자연생태과등록101
9189192016-1-전라북도-3살맛나는 민생실현연대전라북도 군산시 서흥안길 50 (서흥남동)김성훈2016-03-02불법 사금융 피해자 구제, 저소득층 사회적 약자들의 개인파산면책 무료상담 및 경제적 자립과 재활지원063-466-1332일자리경제정책관등록180
9199202016-1-전라북도-4가톨릭농민회 전주교구연합회전라북도 전주시 완산구 현무1길 40 (서노송동)김보성2016-03-03- 사람과 땅을 비롯한 자연을 살리는 생명농업실천 - 서로 살려 함께 사는 생활공동체 활동 - 생산자와 소비자가 서로 만나 나누는 직거래 활동 - 마음과 몸을 튼튼히 하고 바른 삶으로 나아가는 심신수련과 생활 건강 운동 등<NA><NA>등록400
9209212016-1-전라북도-5완주청년회의소전라북도 완주군 삼례읍 삼례로 356, 3층김기태2016-03-16지도자역량개발 지역사회개발 공익사업 활동 등063-291-8295정무기획과등록102
9219222016-1-전라북도-6그린나래봉사단전라북도 전주시 완산구 평화4길 16, 1층 (평화동2가)김도영2016-03-24배식봉사, 물품지원, 연탄나눔, 사회복지시설 방문<NA>정무기획과등록105
9229232016-1-전라북도-7두드림배움터전라북도 전주시 덕진구 산정2길 28-6 (산정동)김병문2016-04-19평생교육에 관한 조사 연구와 상담, 강사 파견사업 평생교육 관련 행사 및 회원권익을 위한 문화활동 진로지도 관련 교육사업 및 방과후 돌봄사업 평생교육원 운영사업 세미나, 연구발표회 등 학술활동을 통한 회원들의 정보공유 및 기회 제공 등<NA>자치행정과등록110
9239242016-1-전라북도-8온누리교통봉사대<NA>손대현2016-05-12교통지도 및 교통질서 캠페인, 교통사고 피해가정 지원 봉사 등063-225-2040<NA>등록102
9249252016-1-전라북도-9장수군여성단체협의회전라북도 장수군 장수읍 장수북동길 17김옥자2016-05-23○ 역량강화 사업 및 교육, 여성단체 지도자 교육 ○ 불우계층 보호사업 및 자원봉사활동, 건강가정육성사업 ○ 양성평등 주간기념 행사, 국제여성단체와의 교류증진 등<NA>여성청소년과등록111