Overview

Dataset statistics

Number of variables12
Number of observations191
Missing cells151
Missing cells (%)6.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.2 KiB
Average record size in memory97.7 B

Variable types

Numeric1
Categorical3
Text8

Dataset

Description경상남도 인증사회적기업 현황으로, 인증사회적기업의 인증번호, 기관명, 사업내용, 전화번호, 주소, 홈페이지 등에 관한 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15056479/fileData.do

Alerts

지역 has constant value ""Constant
사회적목적실현유형 is highly imbalanced (54.9%)Imbalance
대표전화번호 has 20 (10.5%) missing valuesMissing
팩스 has 15 (7.9%) missing valuesMissing
홈페이지 has 116 (60.7%) missing valuesMissing
순번 has unique valuesUnique
인증번호 has unique valuesUnique
기관명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:47:32.581539
Analysis finished2023-12-12 00:47:33.902240
Duration1.32 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct191
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96
Minimum1
Maximum191
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T09:47:34.001690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.5
Q148.5
median96
Q3143.5
95-th percentile181.5
Maximum191
Range190
Interquartile range (IQR)95

Descriptive statistics

Standard deviation55.2811
Coefficient of variation (CV)0.57584479
Kurtosis-1.2
Mean96
Median Absolute Deviation (MAD)48
Skewness0
Sum18336
Variance3056
MonotonicityStrictly increasing
2023-12-12T09:47:34.203293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
2 1
 
0.5%
123 1
 
0.5%
124 1
 
0.5%
125 1
 
0.5%
126 1
 
0.5%
127 1
 
0.5%
128 1
 
0.5%
129 1
 
0.5%
130 1
 
0.5%
Other values (181) 181
94.8%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
191 1
0.5%
190 1
0.5%
189 1
0.5%
188 1
0.5%
187 1
0.5%
186 1
0.5%
185 1
0.5%
184 1
0.5%
183 1
0.5%
182 1
0.5%

지역
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
경남
191 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경남 191
100.0%

Length

2023-12-12T09:47:34.385807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:47:34.525870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경남 191
100.0%

인증번호
Text

UNIQUE 

Distinct191
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T09:47:34.842022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1910
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique191 ?
Unique (%)100.0%

Sample

1st row제2007-035호
2nd row제2008-016호
3rd row제2008-018호
4th row제2009-029호
5th row제2009-041호
ValueCountFrequency (%)
제2007-035호 1
 
0.5%
제2021-015호 1
 
0.5%
제2021-095호 1
 
0.5%
제2021-096호 1
 
0.5%
제2021-097호 1
 
0.5%
제2021-098호 1
 
0.5%
제2021-161호 1
 
0.5%
제2021-162호 1
 
0.5%
제2021-163호 1
 
0.5%
제2021-164호 1
 
0.5%
Other values (181) 181
94.8%
2023-12-12T09:47:35.347398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 393
20.6%
0 336
17.6%
1 244
12.8%
제 191
10.0%
- 191
10.0%
호 191
10.0%
3 74
 
3.9%
9 60
 
3.1%
8 57
 
3.0%
5 48
 
2.5%
Other values (3) 125
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1337
70.0%
Other Letter 382
 
20.0%
Dash Punctuation 191
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 393
29.4%
0 336
25.1%
1 244
18.2%
3 74
 
5.5%
9 60
 
4.5%
8 57
 
4.3%
5 48
 
3.6%
4 46
 
3.4%
6 44
 
3.3%
7 35
 
2.6%
Other Letter
ValueCountFrequency (%)
제 191
50.0%
호 191
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 191
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1528
80.0%
Hangul 382
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 393
25.7%
0 336
22.0%
1 244
16.0%
- 191
12.5%
3 74
 
4.8%
9 60
 
3.9%
8 57
 
3.7%
5 48
 
3.1%
4 46
 
3.0%
6 44
 
2.9%
Hangul
ValueCountFrequency (%)
제 191
50.0%
호 191
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1528
80.0%
Hangul 382
 
20.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 393
25.7%
0 336
22.0%
1 244
16.0%
- 191
12.5%
3 74
 
4.8%
9 60
 
3.9%
8 57
 
3.7%
5 48
 
3.1%
4 46
 
3.0%
6 44
 
2.9%
Hangul
ValueCountFrequency (%)
제 191
50.0%
호 191
50.0%

기관명
Text

UNIQUE 

Distinct191
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T09:47:35.711984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length18
Mean length10.492147
Min length3

Characters and Unicode

Total characters2004
Distinct characters307
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

Unique191 ?
Unique (%)100.0%

Sample

1st row㈜늘푸른자원
2nd row사회복지법인 나눔(나눔터)
3rd row㈜한찬코리아
4th row주식회사거창돌봄지원센터
5th row창원늘푸른사람들 협동조합
ValueCountFrequency (%)
주식회사 64
 
19.2%
유한회사 16
 
4.8%
사회적협동조합 11
 
3.3%
농업회사법인 7
 
2.1%
사단법인 6
 
1.8%
영농조합법인 6
 
1.8%
협동조합 4
 
1.2%
㈜ 4
 
1.2%
주 3
 
0.9%
사회복지법인 2
 
0.6%
Other values (209) 210
63.1%
2023-12-12T09:47:36.419894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 144
 
7.2%
143
 
7.1%
회 127
 
6.3%
주 102
 
5.1%
식 76
 
3.8%
조 47
 
2.3%
합 46
 
2.3%
인 43
 
2.1%
동 38
 
1.9%
협 32
 
1.6%
Other values (297) 1206
60.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1761
87.9%
Space Separator 143
 
7.1%
Open Punctuation 29
 
1.4%
Close Punctuation 29
 
1.4%
Other Symbol 19
 
0.9%
Decimal Number 8
 
0.4%
Lowercase Letter 7
 
0.3%
Uppercase Letter 5
 
0.2%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 144
 
8.2%
회 127
 
7.2%
주 102
 
5.8%
식 76
 
4.3%
조 47
 
2.7%
합 46
 
2.6%
인 43
 
2.4%
동 38
 
2.2%
협 32
 
1.8%
법 32
 
1.8%
Other values (272) 1074
61.0%
Decimal Number
ValueCountFrequency (%)
1 2
25.0%
2 1
12.5%
9 1
12.5%
0 1
12.5%
5 1
12.5%
6 1
12.5%
7 1
12.5%
Lowercase Letter
ValueCountFrequency (%)
t 1
14.3%
d 1
14.3%
o 1
14.3%
e 1
14.3%
a 1
14.3%
r 1
14.3%
i 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
L 1
20.0%
C 1
20.0%
B 1
20.0%
S 1
20.0%
M 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
. 1
33.3%
Space Separator
ValueCountFrequency (%)
143
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1780
88.8%
Common 212
 
10.6%
Latin 12
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 144
 
8.1%
회 127
 
7.1%
주 102
 
5.7%
식 76
 
4.3%
조 47
 
2.6%
합 46
 
2.6%
인 43
 
2.4%
동 38
 
2.1%
협 32
 
1.8%
법 32
 
1.8%
Other values (273) 1093
61.4%
Common
ValueCountFrequency (%)
143
67.5%
( 29
 
13.7%
) 29
 
13.7%
1 2
 
0.9%
, 2
 
0.9%
2 1
 
0.5%
9 1
 
0.5%
0 1
 
0.5%
5 1
 
0.5%
6 1
 
0.5%
Other values (2) 2
 
0.9%
Latin
ValueCountFrequency (%)
t 1
8.3%
d 1
8.3%
L 1
8.3%
o 1
8.3%
C 1
8.3%
B 1
8.3%
S 1
8.3%
e 1
8.3%
a 1
8.3%
r 1
8.3%
Other values (2) 2
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1761
87.9%
ASCII 224
 
11.2%
None 19
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 144
 
8.2%
회 127
 
7.2%
주 102
 
5.8%
식 76
 
4.3%
조 47
 
2.7%
합 46
 
2.6%
인 43
 
2.4%
동 38
 
2.2%
협 32
 
1.8%
법 32
 
1.8%
Other values (272) 1074
61.0%
ASCII
ValueCountFrequency (%)
143
63.8%
( 29
 
12.9%
) 29
 
12.9%
1 2
 
0.9%
, 2
 
0.9%
2 1
 
0.4%
9 1
 
0.4%
0 1
 
0.4%
t 1
 
0.4%
d 1
 
0.4%
Other values (14) 14
 
6.2%
None
ValueCountFrequency (%)
㈜ 19
100.0%

사업내용
Text

Distinct187
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T09:47:36.894106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length118
Median length46
Mean length24.638743
Min length2

Characters and Unicode

Total characters4706
Distinct characters334
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

Unique183 ?
Unique (%)95.8%

Sample

1st row폐OA수거,분해,판매
2nd row장애인 부품조립, 가공
3rd row인쇄출판 및 제조업
4th row방문요양, 방문목욕
5th row학교·건물 등 청소 및 소독, 청소용품 판매
ValueCountFrequency (%)
및 66
 
7.0%
농산물 14
 
1.5%
교육 12
 
1.3%
도소매 11
 
1.2%
제조 10
 
1.1%
청소 9
 
0.9%
제조업 8
 
0.8%
판매 8
 
0.8%
서비스업 8
 
0.8%
제작 8
 
0.8%
Other values (614) 795
83.8%
2023-12-12T09:47:37.635134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
761
 
16.2%
, 406
 
8.6%
업 152
 
3.2%
기 80
 
1.7%
물 78
 
1.7%
품 75
 
1.6%
용 73
 
1.6%
및 73
 
1.6%
소 72
 
1.5%
제 71
 
1.5%
Other values (324) 2865
60.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3453
73.4%
Space Separator 761
 
16.2%
Other Punctuation 435
 
9.2%
Uppercase Letter 18
 
0.4%
Open Punctuation 15
 
0.3%
Close Punctuation 15
 
0.3%
Lowercase Letter 7
 
0.1%
Modifier Symbol 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 152
 
4.4%
기 80
 
2.3%
물 78
 
2.3%
품 75
 
2.2%
용 73
 
2.1%
및 73
 
2.1%
소 72
 
2.1%
제 71
 
2.1%
사 70
 
2.0%
산 60
 
1.7%
Other values (302) 2649
76.7%
Uppercase Letter
ValueCountFrequency (%)
C 5
27.8%
V 3
16.7%
T 2
 
11.1%
P 2
 
11.1%
O 1
 
5.6%
A 1
 
5.6%
R 1
 
5.6%
L 1
 
5.6%
D 1
 
5.6%
E 1
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
o 4
57.1%
f 1
 
14.3%
r 1
 
14.3%
l 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
, 406
93.3%
/ 26
 
6.0%
· 3
 
0.7%
Space Separator
ValueCountFrequency (%)
761
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3453
73.4%
Common 1228
 
26.1%
Latin 25
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 152
 
4.4%
기 80
 
2.3%
물 78
 
2.3%
품 75
 
2.2%
용 73
 
2.1%
및 73
 
2.1%
소 72
 
2.1%
제 71
 
2.1%
사 70
 
2.0%
산 60
 
1.7%
Other values (302) 2649
76.7%
Latin
ValueCountFrequency (%)
C 5
20.0%
o 4
16.0%
V 3
12.0%
T 2
 
8.0%
P 2
 
8.0%
O 1
 
4.0%
A 1
 
4.0%
R 1
 
4.0%
f 1
 
4.0%
r 1
 
4.0%
Other values (4) 4
16.0%
Common
ValueCountFrequency (%)
761
62.0%
, 406
33.1%
/ 26
 
2.1%
( 15
 
1.2%
) 15
 
1.2%
· 3
 
0.2%
` 1
 
0.1%
- 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3453
73.4%
ASCII 1250
 
26.6%
None 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
761
60.9%
, 406
32.5%
/ 26
 
2.1%
( 15
 
1.2%
) 15
 
1.2%
C 5
 
0.4%
o 4
 
0.3%
V 3
 
0.2%
T 2
 
0.2%
P 2
 
0.2%
Other values (11) 11
 
0.9%
Hangul
ValueCountFrequency (%)
업 152
 
4.4%
기 80
 
2.3%
물 78
 
2.3%
품 75
 
2.2%
용 73
 
2.1%
및 73
 
2.1%
소 72
 
2.1%
제 71
 
2.1%
사 70
 
2.0%
산 60
 
1.7%
Other values (302) 2649
76.7%
None
ValueCountFrequency (%)
· 3
100.0%

사회적목적실현유형
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
일자리제공형
156 
지역사회공헌형
 
11
혼합형
 
9
사회서비스제공형
 
9
기타(창의·혁신)형
 
6

Length

Max length10
Median length6
Mean length6.1361257
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타(창의·혁신)형
2nd row일자리제공형
3rd row일자리제공형
4th row혼합형
5th row일자리제공형

Common Values

ValueCountFrequency (%)
일자리제공형 156
81.7%
지역사회공헌형 11
 
5.8%
혼합형 9
 
4.7%
사회서비스제공형 9
 
4.7%
기타(창의·혁신)형 6
 
3.1%

Length

2023-12-12T09:47:37.814733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:47:37.935117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일자리제공형 156
81.7%
지역사회공헌형 11
 
5.8%
혼합형 9
 
4.7%
사회서비스제공형 9
 
4.7%
기타(창의·혁신)형 6
 
3.1%

사회서비스분야
Categorical

Distinct10
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
기타
100 
교육
20 
문화예술
19 
청소
16 
간병가사지원
15 
Other values (5)
21 

Length

Max length7
Median length2
Mean length2.6596859
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row환경
2nd row기타
3rd row기타
4th row간병가사지원
5th row청소

Common Values

ValueCountFrequency (%)
기타 100
52.4%
교육 20
 
10.5%
문화예술 19
 
9.9%
청소 16
 
8.4%
간병가사지원 15
 
7.9%
환경 9
 
4.7%
사회복지 6
 
3.1%
관광운동 3
 
1.6%
산림보전및관리 2
 
1.0%
보육 1
 
0.5%

Length

2023-12-12T09:47:38.331023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:47:38.494980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 100
52.4%
교육 20
 
10.5%
문화예술 19
 
9.9%
청소 16
 
8.4%
간병가사지원 15
 
7.9%
환경 9
 
4.7%
사회복지 6
 
3.1%
관광운동 3
 
1.6%
산림보전및관리 2
 
1.0%
보육 1
 
0.5%

대표전화번호
Text

MISSING 

Distinct171
Distinct (%)100.0%
Missing20
Missing (%)10.5%
Memory size1.6 KiB
2023-12-12T09:47:38.854254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.064327
Min length9

Characters and Unicode

Total characters2063
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

Unique171 ?
Unique (%)100.0%

Sample

1st row055-298-1428
2nd row055-286-3233
3rd row055-601-1000
4th row055-945-1566
5th row055-265-1945
ValueCountFrequency (%)
055-532-4616 1
 
0.6%
055-388-0495 1
 
0.6%
055-298-5613 1
 
0.6%
055-386-5463 1
 
0.6%
055-277-2945 1
 
0.6%
055-366-9797 1
 
0.6%
055-547-9909 1
 
0.6%
055-387-7245 1
 
0.6%
070-7767-5274 1
 
0.6%
055-674-4741 1
 
0.6%
Other values (161) 161
94.2%
2023-12-12T09:47:39.397064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 426
20.6%
- 341
16.5%
0 289
14.0%
2 171
8.3%
3 154
 
7.5%
8 132
 
6.4%
6 129
 
6.3%
7 121
 
5.9%
4 116
 
5.6%
1 92
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1722
83.5%
Dash Punctuation 341
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 426
24.7%
0 289
16.8%
2 171
9.9%
3 154
 
8.9%
8 132
 
7.7%
6 129
 
7.5%
7 121
 
7.0%
4 116
 
6.7%
1 92
 
5.3%
9 92
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 341
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2063
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 426
20.6%
- 341
16.5%
0 289
14.0%
2 171
8.3%
3 154
 
7.5%
8 132
 
6.4%
6 129
 
6.3%
7 121
 
5.9%
4 116
 
5.6%
1 92
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2063
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 426
20.6%
- 341
16.5%
0 289
14.0%
2 171
8.3%
3 154
 
7.5%
8 132
 
6.4%
6 129
 
6.3%
7 121
 
5.9%
4 116
 
5.6%
1 92
 
4.5%

팩스
Text

MISSING 

Distinct168
Distinct (%)95.5%
Missing15
Missing (%)7.9%
Memory size1.6 KiB
2023-12-12T09:47:39.679282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.159091
Min length12

Characters and Unicode

Total characters2140
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

Unique162 ?
Unique (%)92.0%

Sample

1st row055-298-1433
2nd row055-286-3238
3rd row055-715-7000
4th row055-944-1974
5th row055-265-1946
ValueCountFrequency (%)
055-366-3760 3
 
1.7%
055-263-6544 3
 
1.7%
055-273-2984 2
 
1.1%
055-943-1398 2
 
1.1%
055-882-0048 2
 
1.1%
055-275-2984 2
 
1.1%
055-552-2206 1
 
0.6%
070-7363-6460 1
 
0.6%
0504-025-6562 1
 
0.6%
055-638-3558 1
 
0.6%
Other values (158) 158
89.8%
2023-12-12T09:47:40.115750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 452
21.1%
- 352
16.4%
0 304
14.2%
3 173
 
8.1%
2 160
 
7.5%
4 152
 
7.1%
8 128
 
6.0%
7 118
 
5.5%
6 113
 
5.3%
9 103
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1788
83.6%
Dash Punctuation 352
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 452
25.3%
0 304
17.0%
3 173
 
9.7%
2 160
 
8.9%
4 152
 
8.5%
8 128
 
7.2%
7 118
 
6.6%
6 113
 
6.3%
9 103
 
5.8%
1 85
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 352
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2140
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 452
21.1%
- 352
16.4%
0 304
14.2%
3 173
 
8.1%
2 160
 
7.5%
4 152
 
7.1%
8 128
 
6.0%
7 118
 
5.5%
6 113
 
5.3%
9 103
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2140
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 452
21.1%
- 352
16.4%
0 304
14.2%
3 173
 
8.1%
2 160
 
7.5%
4 152
 
7.1%
8 128
 
6.0%
7 118
 
5.5%
6 113
 
5.3%
9 103
 
4.8%

소재지
Text

Distinct190
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T09:47:40.448266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length42
Mean length29.031414
Min length17

Characters and Unicode

Total characters5545
Distinct characters254
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique189 ?
Unique (%)99.0%

Sample

1st row경상남도 창원시 의창구 북면 백월로74번기곡길 9
2nd row경상남도 창원시 성산구 신촌동 111-2
3rd row경상남도 창원시 의창구 천주로1번길 14(서상동)
4th row경상남도 거창군 거창읍 대동리 소만택지개발지구 6블럭 5로트
5th row경상남도 창원시 의창구 용지로 161, 604호(용호동 73-32 경남빌딩 604호)
ValueCountFrequency (%)
경상남도 191
 
17.6%
창원시 67
 
6.2%
김해시 30
 
2.8%
의창구 22
 
2.0%
성산구 18
 
1.7%
양산시 16
 
1.5%
진주시 13
 
1.2%
마산회원구 11
 
1.0%
하동군 11
 
1.0%
거창군 11
 
1.0%
Other values (546) 694
64.0%
2023-12-12T09:47:40.908297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
898
 
16.2%
1 230
 
4.1%
남 227
 
4.1%
상 215
 
3.9%
경 205
 
3.7%
도 192
 
3.5%
동 180
 
3.2%
2 157
 
2.8%
시 148
 
2.7%
로 142
 
2.6%
Other values (244) 2951
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3301
59.5%
Decimal Number 927
 
16.7%
Space Separator 898
 
16.2%
Other Punctuation 125
 
2.3%
Close Punctuation 111
 
2.0%
Open Punctuation 111
 
2.0%
Dash Punctuation 63
 
1.1%
Uppercase Letter 9
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 227
 
6.9%
상 215
 
6.5%
경 205
 
6.2%
도 192
 
5.8%
동 180
 
5.5%
시 148
 
4.5%
로 142
 
4.3%
창 117
 
3.5%
길 106
 
3.2%
원 97
 
2.9%
Other values (220) 1672
50.7%
Decimal Number
ValueCountFrequency (%)
1 230
24.8%
2 157
16.9%
3 90
 
9.7%
4 89
 
9.6%
5 88
 
9.5%
0 79
 
8.5%
6 67
 
7.2%
7 49
 
5.3%
9 40
 
4.3%
8 38
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
Y 2
22.2%
A 2
22.2%
B 1
11.1%
W 1
11.1%
C 1
11.1%
G 1
11.1%
S 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 122
97.6%
· 2
 
1.6%
. 1
 
0.8%
Space Separator
ValueCountFrequency (%)
898
100.0%
Close Punctuation
ValueCountFrequency (%)
) 111
100.0%
Open Punctuation
ValueCountFrequency (%)
( 111
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3301
59.5%
Common 2235
40.3%
Latin 9
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 227
 
6.9%
상 215
 
6.5%
경 205
 
6.2%
도 192
 
5.8%
동 180
 
5.5%
시 148
 
4.5%
로 142
 
4.3%
창 117
 
3.5%
길 106
 
3.2%
원 97
 
2.9%
Other values (220) 1672
50.7%
Common
ValueCountFrequency (%)
898
40.2%
1 230
 
10.3%
2 157
 
7.0%
, 122
 
5.5%
) 111
 
5.0%
( 111
 
5.0%
3 90
 
4.0%
4 89
 
4.0%
5 88
 
3.9%
0 79
 
3.5%
Other values (7) 260
 
11.6%
Latin
ValueCountFrequency (%)
Y 2
22.2%
A 2
22.2%
B 1
11.1%
W 1
11.1%
C 1
11.1%
G 1
11.1%
S 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3301
59.5%
ASCII 2242
40.4%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
898
40.1%
1 230
 
10.3%
2 157
 
7.0%
, 122
 
5.4%
) 111
 
5.0%
( 111
 
5.0%
3 90
 
4.0%
4 89
 
4.0%
5 88
 
3.9%
0 79
 
3.5%
Other values (13) 267
 
11.9%
Hangul
ValueCountFrequency (%)
남 227
 
6.9%
상 215
 
6.5%
경 205
 
6.2%
도 192
 
5.8%
동 180
 
5.5%
시 148
 
4.5%
로 142
 
4.3%
창 117
 
3.5%
길 106
 
3.2%
원 97
 
2.9%
Other values (220) 1672
50.7%
None
ValueCountFrequency (%)
· 2
100.0%

홈페이지
Text

MISSING 

Distinct75
Distinct (%)100.0%
Missing116
Missing (%)60.7%
Memory size1.6 KiB
2023-12-12T09:47:41.188096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length29
Mean length17.653333
Min length6

Characters and Unicode

Total characters1324
Distinct characters85
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)100.0%

Sample

1st rowhttp://www.nanumteo.or.kr
2nd rowwww.we-1004.co.kr
3rd rowgch.neo2.co.kr
4th rowwww.일사.한국
5th rowwww.happyfoodbox.co.kr
ValueCountFrequency (%)
gegp.com 1
 
1.3%
www.miraesb.com 1
 
1.3%
caf?.daum.net/greennbook 1
 
1.3%
blog.naver.com/mark4001 1
 
1.3%
www.마크유니버살.com 1
 
1.3%
freshgreen.kr 1
 
1.3%
www.yycc.co.kr 1
 
1.3%
www.forestedu.or.kr 1
 
1.3%
ggumlib.or.kr 1
 
1.3%
accrhizome.com 1
 
1.3%
Other values (67) 67
87.0%
2023-12-12T09:47:41.701543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 165
 
12.5%
w 153
 
11.6%
o 127
 
9.6%
c 94
 
7.1%
r 78
 
5.9%
a 68
 
5.1%
m 67
 
5.1%
e 51
 
3.9%
k 50
 
3.8%
n 48
 
3.6%
Other values (75) 423
31.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1026
77.5%
Other Punctuation 203
 
15.3%
Decimal Number 43
 
3.2%
Other Letter 40
 
3.0%
Uppercase Letter 9
 
0.7%
Space Separator 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 3
 
7.5%
마 2
 
5.0%
우 2
 
5.0%
스 2
 
5.0%
경 1
 
2.5%
남 1
 
2.5%
파 1
 
2.5%
집 1
 
2.5%
는 1
 
2.5%
순 1
 
2.5%
Other values (25) 25
62.5%
Lowercase Letter
ValueCountFrequency (%)
w 153
14.9%
o 127
12.4%
c 94
 
9.2%
r 78
 
7.6%
a 68
 
6.6%
m 67
 
6.5%
e 51
 
5.0%
k 50
 
4.9%
n 48
 
4.7%
t 30
 
2.9%
Other values (15) 260
25.3%
Decimal Number
ValueCountFrequency (%)
0 13
30.2%
1 7
16.3%
4 6
14.0%
6 4
 
9.3%
3 3
 
7.0%
7 3
 
7.0%
2 3
 
7.0%
5 2
 
4.7%
9 1
 
2.3%
8 1
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
N 2
22.2%
O 2
22.2%
R 1
11.1%
M 1
11.1%
I 1
11.1%
C 1
11.1%
E 1
11.1%
Other Punctuation
ValueCountFrequency (%)
. 165
81.3%
/ 25
 
12.3%
: 7
 
3.4%
@ 2
 
1.0%
? 2
 
1.0%
, 2
 
1.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1035
78.2%
Common 249
 
18.8%
Hangul 40
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 3
 
7.5%
마 2
 
5.0%
우 2
 
5.0%
스 2
 
5.0%
경 1
 
2.5%
남 1
 
2.5%
파 1
 
2.5%
집 1
 
2.5%
는 1
 
2.5%
순 1
 
2.5%
Other values (25) 25
62.5%
Latin
ValueCountFrequency (%)
w 153
14.8%
o 127
12.3%
c 94
 
9.1%
r 78
 
7.5%
a 68
 
6.6%
m 67
 
6.5%
e 51
 
4.9%
k 50
 
4.8%
n 48
 
4.6%
t 30
 
2.9%
Other values (22) 269
26.0%
Common
ValueCountFrequency (%)
. 165
66.3%
/ 25
 
10.0%
0 13
 
5.2%
: 7
 
2.8%
1 7
 
2.8%
4 6
 
2.4%
6 4
 
1.6%
3 3
 
1.2%
7 3
 
1.2%
2 3
 
1.2%
Other values (8) 13
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1284
97.0%
Hangul 40
 
3.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 165
12.9%
w 153
 
11.9%
o 127
 
9.9%
c 94
 
7.3%
r 78
 
6.1%
a 68
 
5.3%
m 67
 
5.2%
e 51
 
4.0%
k 50
 
3.9%
n 48
 
3.7%
Other values (40) 383
29.8%
Hangul
ValueCountFrequency (%)
한 3
 
7.5%
마 2
 
5.0%
우 2
 
5.0%
스 2
 
5.0%
경 1
 
2.5%
남 1
 
2.5%
파 1
 
2.5%
집 1
 
2.5%
는 1
 
2.5%
순 1
 
2.5%
Other values (25) 25
62.5%

인증회차
Text

Distinct65
Distinct (%)34.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T09:47:41.947296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters1528
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)12.6%

Sample

1st row2007년 1차
2nd row2008년 1차
3rd row2008년 1차
4th row2009년 2차
5th row2009년 3차
ValueCountFrequency (%)
3차 45
11.8%
4차 36
 
9.4%
2차 34
 
8.9%
2021년 32
 
8.4%
2022년 31
 
8.1%
1차 27
 
7.1%
5차 26
 
6.8%
6차 23
 
6.0%
2019년 21
 
5.5%
2014년 17
 
4.5%
Other values (13) 90
23.6%
2023-12-12T09:47:42.254387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 347
22.7%
0 219
14.3%
년 191
12.5%
191
12.5%
차 191
12.5%
1 156
10.2%
3 64
 
4.2%
4 53
 
3.5%
5 38
 
2.5%
6 29
 
1.9%
Other values (3) 49
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 955
62.5%
Other Letter 382
 
25.0%
Space Separator 191
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 347
36.3%
0 219
22.9%
1 156
16.3%
3 64
 
6.7%
4 53
 
5.5%
5 38
 
4.0%
6 29
 
3.0%
9 25
 
2.6%
8 14
 
1.5%
7 10
 
1.0%
Other Letter
ValueCountFrequency (%)
년 191
50.0%
차 191
50.0%
Space Separator
ValueCountFrequency (%)
191
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1146
75.0%
Hangul 382
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 347
30.3%
0 219
19.1%
191
16.7%
1 156
13.6%
3 64
 
5.6%
4 53
 
4.6%
5 38
 
3.3%
6 29
 
2.5%
9 25
 
2.2%
8 14
 
1.2%
Hangul
ValueCountFrequency (%)
년 191
50.0%
차 191
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1146
75.0%
Hangul 382
 
25.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 347
30.3%
0 219
19.1%
191
16.7%
1 156
13.6%
3 64
 
5.6%
4 53
 
4.6%
5 38
 
3.3%
6 29
 
2.5%
9 25
 
2.2%
8 14
 
1.2%
Hangul
ValueCountFrequency (%)
년 191
50.0%
차 191
50.0%

Interactions

2023-12-12T09:47:33.394831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:47:42.353421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번사회적목적실현유형사회서비스분야홈페이지인증회차
순번1.0000.3640.2201.0000.993
사회적목적실현유형0.3641.0000.6361.0000.554
사회서비스분야0.2200.6361.0001.0000.043
홈페이지1.0001.0001.0001.0001.000
인증회차0.9930.5540.0431.0001.000
2023-12-12T09:47:42.454689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사회적목적실현유형사회서비스분야
사회적목적실현유형1.0000.311
사회서비스분야0.3111.000
2023-12-12T09:47:42.561018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번사회적목적실현유형사회서비스분야
순번1.0000.1580.024
사회적목적실현유형0.1581.0000.311
사회서비스분야0.0240.3111.000

Missing values

2023-12-12T09:47:33.546988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:47:33.728200image/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.
2023-12-12T09:47:33.847764image/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

순번지역인증번호기관명사업내용사회적목적실현유형사회서비스분야대표전화번호팩스소재지홈페이지인증회차
01경남제2007-035호㈜늘푸른자원폐OA수거,분해,판매기타(창의·혁신)형환경055-298-1428055-298-1433경상남도 창원시 의창구 북면 백월로74번기곡길 9<NA>2007년 1차
12경남제2008-016호사회복지법인 나눔(나눔터)장애인 부품조립, 가공일자리제공형기타055-286-3233055-286-3238경상남도 창원시 성산구 신촌동 111-2http://www.nanumteo.or.kr2008년 1차
23경남제2008-018호㈜한찬코리아인쇄출판 및 제조업일자리제공형기타055-601-1000055-715-7000경상남도 창원시 의창구 천주로1번길 14(서상동)www.we-1004.co.kr2008년 1차
34경남제2009-029호주식회사거창돌봄지원센터방문요양, 방문목욕혼합형간병가사지원055-945-1566055-944-1974경상남도 거창군 거창읍 대동리 소만택지개발지구 6블럭 5로트gch.neo2.co.kr2009년 2차
45경남제2009-041호창원늘푸른사람들 협동조합학교·건물 등 청소 및 소독, 청소용품 판매일자리제공형청소055-265-1945055-265-1946경상남도 창원시 의창구 용지로 161, 604호(용호동 73-32 경남빌딩 604호)<NA>2009년 3차
56경남제2009-061호유한회사 에스인제건설집수리 및 일반유료 공사혼합형사회복지055-328-6374055-312-6372경상남도 김해시 가락로190번길 16, 2층(구산동)<NA>2009년 4차
67경남제2009-062호유한회사 김해늘푸른사람들학교·건물 청소 및 소독일자리제공형청소<NA><NA>경상남도 김해시 분성로 194번길 58, 302(외동)<NA>2009년 4차
78경남제2010-063호유한회사 김해돌봄지원센터방문 요양`목욕 서비스 제공혼합형간병가사지원055-329-6371055-905-6644경상남도 김해시 분성로 194번길 58, 201호(외동)www.일사.한국2010년 2차
89경남제2010-090호해피푸드 주식회사도시락일자리제공형기타055-540-0232055-551-7550경상남도 창원시 진해구 풍호동 1 (3층)www.happyfoodbox.co.kr2010년 3차
910경남제2010-095호미디어센터내일영상물 상영 및 배급, 영상물 제작, 영상미디어 교육기타(창의·혁신)형문화예술055-748-7306070-8988-7306경상남도 진주시 동부로169번길 12, AB동 3층 307-308호(충무공동, 윙스타워)www.jjmedia.or.kr2010년 3차
순번지역인증번호기관명사업내용사회적목적실현유형사회서비스분야대표전화번호팩스소재지홈페이지인증회차
181182경남제2023-014호(주)델타무인항공항공방제, 드론, 농기계, 농자재일자리제공형기타055-325-3288055-325-3289경상남도 김해시 진영읍 진영로265번길 259-14<NA>2023년 1차
182183경남제2023-015호길 생태체험학교 사회적협동조합숲해설및체험, 환경생태사업일자리제공형교육055-314-5001055-314-5004경상남도 김해시 장유로 322-1, 2층(무계동)<NA>2023년 1차
183184경남제2023-016호나눔복지지원센터협동조합장례토탈서비스, 사회복지서비스, 장의용품, 제단 도소매사회서비스제공형간병가사지원055-299-1313050-4419-0994경상남도 창원시 마산회원구 내서읍 윗구슬길 21<NA>2023년 1차
184185경남제2023-017호농업회사법인 주식회사 쌀스토리곡물, 쌀, 고추, 버섯 농업, 전자상거래, 농촌체험관광일자리제공형기타055-266-0828<NA>경상남도 의령군 칠곡면 칠곡로5길 39<NA>2023년 1차
185186경남제2023-018호대밭고을 영농조합법인임업 관련 서비스업, 주류 제조, 농산물 도소매, 농촌체험학습지역사회공헌형기타<NA>055-852-7055경상남도 사천시 곤양면 곤양로 155<NA>2023년 1차
186187경남제2023-019호주식회사 더바름사무 및 생활용품 도소매, 청소대행업, 건물 산업설비 청소 및 방제업, 병원동행서비스일자리제공형기타055-636-3334055-633-5554경상남도 거제시 상동3길 3, 5층(상동동, 성호빌딩)<NA>2023년 1차
187188경남제2023-020호주식회사 엠디피쉬한식, 수산물 소매일자리제공형기타<NA>055-641-3318경상남도 통영시 충렬로 14-1, 1층(서호동)<NA>2023년 1차
188189경남제2023-021호주식회사 디자인휴먼디자인, 실내건축, 상품 종합 도매업, 옥외광고업, 광고물제작, 전시, 컨벤션 및 행사 대행업일자리제공형기타055-264-3800055-266-3801경상남도 창원시 성산구 원이대로566번길 29, 1층(중앙동)<NA>2023년 1차
189190경남제2023-089호(주)노벅스방역방역소독업, 방역용품 및 상품종합 도매업, 전자상거래 소매업일자리제공형청소055-552-0929055-552-1928경상남도 창원시 진해구 돌리로16번길 4-3 석동, 석동빌라 1층 에이호석동<NA>2023년 2차
190191경남제2023-090호주식회사 하나로공조에어컨 수리 및 설치, 청소, 시스템에어컨 수리 및 설치, 점검, 청소, 에어컨일자리제공형청소055-5730-5518055-5730-5518경상남도 창원시 마산회원구 구암동1길 97, 1층(구암동)<NA>2023년 2차