Overview

Dataset statistics

Number of variables12
Number of observations1101
Missing cells674
Missing cells (%)5.1%
Duplicate rows3
Duplicate rows (%)0.3%
Total size in memory103.3 KiB
Average record size in memory96.1 B

Variable types

Text11
Categorical1

Dataset

Description도시농업의 실천 및 도시농업 가치 확산을 유도하기 위한 데이터로 텃밭명, 운영주체, 유형, 주소, 면적 등의 도시농업을 체험, 도전할 수 있는 텃밭분양 정보를 제공합니다.
Author농림수산식품교육문화정보원
URLhttps://www.data.go.kr/data/15123504/fileData.do

Alerts

Dataset has 3 (0.3%) duplicate rowsDuplicates
텃밭명 has 136 (12.4%) missing valuesMissing
분양면적 has 106 (9.6%) missing valuesMissing
분양가격 has 63 (5.7%) missing valuesMissing
부대시설 has 272 (24.7%) missing valuesMissing
신청방법 has 91 (8.3%) missing valuesMissing

Reproduction

Analysis started2023-12-11 22:45:27.823797
Analysis finished2023-12-11 22:45:29.334885
Duration1.51 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

텃밭명
Text

MISSING 

Distinct636
Distinct (%)65.9%
Missing136
Missing (%)12.4%
Memory size8.7 KiB
2023-12-12T07:45:29.780517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length17
Mean length6.0518135
Min length1

Characters and Unicode

Total characters5840
Distinct characters396
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

Unique348 ?
Unique (%)36.1%

Sample

1st row과해주말농장
2nd row개화텃밭농장
3rd row행복한도시농장
4th row서림동텃밭
5th row충효공원텃밭
ValueCountFrequency (%)
주말가족농장 9
 
0.9%
행복키움주말농장 8
 
0.8%
친환경마을공동체텃밭 5
 
0.5%
웰빙주말농장 5
 
0.5%
관평농장 5
 
0.5%
주말농장 5
 
0.5%
건강희망텃밭 4
 
0.4%
마을공동체텃밭 4
 
0.4%
울주군행복나눔도시텃밭 4
 
0.4%
마을교육공동체텃밭 4
 
0.4%
Other values (626) 912
94.5%
2023-12-12T07:45:30.161218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 497
 
8.5%
장 424
 
7.3%
밭 310
 
5.3%
텃 308
 
5.3%
주 258
 
4.4%
말 242
 
4.1%
동 126
 
2.2%
원 119
 
2.0%
도 106
 
1.8%
시 100
 
1.7%
Other values (386) 3350
57.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5679
97.2%
Decimal Number 92
 
1.6%
Lowercase Letter 21
 
0.4%
Close Punctuation 15
 
0.3%
Open Punctuation 14
 
0.2%
Uppercase Letter 11
 
0.2%
Dash Punctuation 6
 
0.1%
Other Symbol 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 497
 
8.8%
장 424
 
7.5%
밭 310
 
5.5%
텃 308
 
5.4%
주 258
 
4.5%
말 242
 
4.3%
동 126
 
2.2%
원 119
 
2.1%
도 106
 
1.9%
시 100
 
1.8%
Other values (354) 3189
56.2%
Decimal Number
ValueCountFrequency (%)
1 34
37.0%
2 27
29.3%
3 12
 
13.0%
4 6
 
6.5%
6 5
 
5.4%
5 4
 
4.3%
9 1
 
1.1%
0 1
 
1.1%
8 1
 
1.1%
7 1
 
1.1%
Lowercase Letter
ValueCountFrequency (%)
e 6
28.6%
s 2
 
9.5%
l 2
 
9.5%
g 2
 
9.5%
r 2
 
9.5%
h 2
 
9.5%
t 2
 
9.5%
o 2
 
9.5%
n 1
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
H 2
18.2%
L 2
18.2%
O 2
18.2%
K 2
18.2%
T 2
18.2%
W 1
9.1%
Close Punctuation
ValueCountFrequency (%)
) 14
93.3%
] 1
 
6.7%
Open Punctuation
ValueCountFrequency (%)
( 13
92.9%
[ 1
 
7.1%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5680
97.3%
Common 128
 
2.2%
Latin 32
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 497
 
8.8%
장 424
 
7.5%
밭 310
 
5.5%
텃 308
 
5.4%
주 258
 
4.5%
말 242
 
4.3%
동 126
 
2.2%
원 119
 
2.1%
도 106
 
1.9%
시 100
 
1.8%
Other values (355) 3190
56.2%
Common
ValueCountFrequency (%)
1 34
26.6%
2 27
21.1%
) 14
10.9%
( 13
 
10.2%
3 12
 
9.4%
4 6
 
4.7%
- 6
 
4.7%
6 5
 
3.9%
5 4
 
3.1%
, 1
 
0.8%
Other values (6) 6
 
4.7%
Latin
ValueCountFrequency (%)
e 6
18.8%
s 2
 
6.2%
l 2
 
6.2%
H 2
 
6.2%
L 2
 
6.2%
g 2
 
6.2%
O 2
 
6.2%
r 2
 
6.2%
h 2
 
6.2%
t 2
 
6.2%
Other values (5) 8
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5679
97.2%
ASCII 160
 
2.7%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 497
 
8.8%
장 424
 
7.5%
밭 310
 
5.5%
텃 308
 
5.4%
주 258
 
4.5%
말 242
 
4.3%
동 126
 
2.2%
원 119
 
2.1%
도 106
 
1.9%
시 100
 
1.8%
Other values (354) 3189
56.2%
ASCII
ValueCountFrequency (%)
1 34
21.2%
2 27
16.9%
) 14
8.8%
( 13
 
8.1%
3 12
 
7.5%
4 6
 
3.8%
e 6
 
3.8%
- 6
 
3.8%
6 5
 
3.1%
5 4
 
2.5%
Other values (21) 33
20.6%
None
ValueCountFrequency (%)
㈜ 1
100.0%

운영주체
Text

Distinct269
Distinct (%)24.5%
Missing1
Missing (%)0.1%
Memory size8.7 KiB
2023-12-12T07:45:30.362837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length4.3063636
Min length2

Characters and Unicode

Total characters4737
Distinct characters301
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

Unique119 ?
Unique (%)10.8%

Sample

1st row개인
2nd row개인
3rd row개인
4th row관악구
5th row관악구
ValueCountFrequency (%)
개인 415
37.7%
구청관리 51
 
4.6%
미추홀구청 44
 
4.0%
서울시 28
 
2.5%
관악구 12
 
1.1%
아산시농업기술센터 10
 
0.9%
안산시 9
 
0.8%
인천도시농업네트워크 9
 
0.8%
순천시 9
 
0.8%
지자체 9
 
0.8%
Other values (259) 504
45.8%
2023-12-12T07:45:30.793788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 451
 
9.5%
개 418
 
8.8%
구 245
 
5.2%
시 202
 
4.3%
청 157
 
3.3%
주 110
 
2.3%
동 103
 
2.2%
농 96
 
2.0%
리 78
 
1.6%
관 76
 
1.6%
Other values (291) 2801
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4627
97.7%
Decimal Number 50
 
1.1%
Close Punctuation 17
 
0.4%
Open Punctuation 16
 
0.3%
Lowercase Letter 9
 
0.2%
Uppercase Letter 6
 
0.1%
Other Punctuation 6
 
0.1%
Dash Punctuation 5
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 451
 
9.7%
개 418
 
9.0%
구 245
 
5.3%
시 202
 
4.4%
청 157
 
3.4%
주 110
 
2.4%
동 103
 
2.2%
농 96
 
2.1%
리 78
 
1.7%
관 76
 
1.6%
Other values (266) 2691
58.2%
Decimal Number
ValueCountFrequency (%)
2 10
20.0%
1 8
16.0%
3 7
14.0%
7 5
10.0%
4 5
10.0%
5 4
 
8.0%
8 4
 
8.0%
9 3
 
6.0%
0 2
 
4.0%
6 2
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
44.4%
r 1
 
11.1%
h 1
 
11.1%
t 1
 
11.1%
o 1
 
11.1%
g 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
？ 4
66.7%
/ 1
 
16.7%
, 1
 
16.7%
Uppercase Letter
ValueCountFrequency (%)
H 5
83.3%
T 1
 
16.7%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4628
97.7%
Common 94
 
2.0%
Latin 15
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 451
 
9.7%
개 418
 
9.0%
구 245
 
5.3%
시 202
 
4.4%
청 157
 
3.4%
주 110
 
2.4%
동 103
 
2.2%
농 96
 
2.1%
리 78
 
1.7%
관 76
 
1.6%
Other values (267) 2692
58.2%
Common
ValueCountFrequency (%)
) 17
18.1%
( 16
17.0%
2 10
10.6%
1 8
8.5%
3 7
7.4%
7 5
 
5.3%
4 5
 
5.3%
- 5
 
5.3%
5 4
 
4.3%
？ 4
 
4.3%
Other values (6) 13
13.8%
Latin
ValueCountFrequency (%)
H 5
33.3%
e 4
26.7%
r 1
 
6.7%
h 1
 
6.7%
t 1
 
6.7%
o 1
 
6.7%
T 1
 
6.7%
g 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4627
97.7%
ASCII 105
 
2.2%
None 5
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 451
 
9.7%
개 418
 
9.0%
구 245
 
5.3%
시 202
 
4.4%
청 157
 
3.4%
주 110
 
2.4%
동 103
 
2.2%
농 96
 
2.1%
리 78
 
1.7%
관 76
 
1.6%
Other values (266) 2691
58.2%
ASCII
ValueCountFrequency (%)
) 17
16.2%
( 16
15.2%
2 10
9.5%
1 8
 
7.6%
3 7
 
6.7%
7 5
 
4.8%
4 5
 
4.8%
H 5
 
4.8%
- 5
 
4.8%
5 4
 
3.8%
Other values (13) 23
21.9%
None
ValueCountFrequency (%)
？ 4
80.0%
㈜ 1
 
20.0%

유형
Text

Distinct62
Distinct (%)5.6%
Missing1
Missing (%)0.1%
Memory size8.7 KiB
2023-12-12T07:45:31.025578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length4
Mean length4.4690909
Min length2

Characters and Unicode

Total characters4916
Distinct characters78
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)1.6%

Sample

1st row민영주말농장
2nd row민영주말농장
3rd row민영주말농장
4th row공영주말농장
5th row공영주말농장
ValueCountFrequency (%)
주말농장 615
55.9%
공영주말농장 81
 
7.4%
체험교육농장 57
 
5.2%
민영주말농장 51
 
4.6%
기타 39
 
3.5%
체험농장 30
 
2.7%
도시텃밭 23
 
2.1%
기타유형 22
 
2.0%
개인별분양 20
 
1.8%
스쿨팜 16
 
1.5%
Other values (52) 146
 
13.3%
2023-12-12T07:45:31.333419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 897
18.2%
장 891
18.1%
주 795
16.2%
말 786
16.0%
영 142
 
2.9%
체 139
 
2.8%
험 120
 
2.4%
공 112
 
2.3%
교 85
 
1.7%
텃 79
 
1.6%
Other values (68) 870
17.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4872
99.1%
Other Punctuation 28
 
0.6%
Close Punctuation 8
 
0.2%
Open Punctuation 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 897
18.4%
장 891
18.3%
주 795
16.3%
말 786
16.1%
영 142
 
2.9%
체 139
 
2.9%
험 120
 
2.5%
공 112
 
2.3%
교 85
 
1.7%
텃 79
 
1.6%
Other values (64) 826
17.0%
Other Punctuation
ValueCountFrequency (%)
, 27
96.4%
/ 1
 
3.6%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4872
99.1%
Common 44
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 897
18.4%
장 891
18.3%
주 795
16.3%
말 786
16.1%
영 142
 
2.9%
체 139
 
2.9%
험 120
 
2.5%
공 112
 
2.3%
교 85
 
1.7%
텃 79
 
1.6%
Other values (64) 826
17.0%
Common
ValueCountFrequency (%)
, 27
61.4%
) 8
 
18.2%
( 8
 
18.2%
/ 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4872
99.1%
ASCII 44
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 897
18.4%
장 891
18.3%
주 795
16.3%
말 786
16.1%
영 142
 
2.9%
체 139
 
2.9%
험 120
 
2.5%
공 112
 
2.3%
교 85
 
1.7%
텃 79
 
1.6%
Other values (64) 826
17.0%
ASCII
ValueCountFrequency (%)
, 27
61.4%
) 8
 
18.2%
( 8
 
18.2%
/ 1
 
2.3%

주소
Text

Distinct1060
Distinct (%)96.4%
Missing1
Missing (%)0.1%
Memory size8.7 KiB
2023-12-12T07:45:31.596902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length26
Mean length10.308182
Min length3

Characters and Unicode

Total characters11339
Distinct characters265
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

Unique1048 ?
Unique (%)95.3%

Sample

1st row오곡동518-2
2nd row개화동682-2
3rd row오쇠동151-11
4th row서림동143-1
5th row청룡동1529-1
ValueCountFrequency (%)
광도면죽림리358-4 30
 
2.7%
파주시탄현면금승리136-3 2
 
0.2%
법원읍술이홀로1333 2
 
0.2%
노원구상계동95-336 2
 
0.2%
광주시직동302 2
 
0.2%
장흥면210-2 2
 
0.2%
속초시노학동1073-50 2
 
0.2%
노원구하계동336-1 2
 
0.2%
궁동70-1외3 2
 
0.2%
해룡면신대리2137 2
 
0.2%
Other values (1051) 1053
95.6%
2023-12-12T07:45:31.975460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 904
 
8.0%
1 819
 
7.2%
- 701
 
6.2%
2 631
 
5.6%
3 572
 
5.0%
4 493
 
4.3%
5 402
 
3.5%
7 325
 
2.9%
6 292
 
2.6%
0 292
 
2.6%
Other values (255) 5908
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6161
54.3%
Decimal Number 4379
38.6%
Dash Punctuation 701
 
6.2%
Other Punctuation 92
 
0.8%
Math Symbol 3
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 904
 
14.7%
시 261
 
4.2%
구 261
 
4.2%
리 241
 
3.9%
면 188
 
3.1%
산 150
 
2.4%
주 101
 
1.6%
읍 101
 
1.6%
도 101
 
1.6%
지 100
 
1.6%
Other values (237) 3753
60.9%
Decimal Number
ValueCountFrequency (%)
1 819
18.7%
2 631
14.4%
3 572
13.1%
4 493
11.3%
5 402
9.2%
7 325
 
7.4%
6 292
 
6.7%
0 292
 
6.7%
8 280
 
6.4%
9 273
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 88
95.7%
/ 2
 
2.2%
. 2
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 701
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6161
54.3%
Common 5178
45.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 904
 
14.7%
시 261
 
4.2%
구 261
 
4.2%
리 241
 
3.9%
면 188
 
3.1%
산 150
 
2.4%
주 101
 
1.6%
읍 101
 
1.6%
도 101
 
1.6%
지 100
 
1.6%
Other values (237) 3753
60.9%
Common
ValueCountFrequency (%)
1 819
15.8%
- 701
13.5%
2 631
12.2%
3 572
11.0%
4 493
9.5%
5 402
7.8%
7 325
 
6.3%
6 292
 
5.6%
0 292
 
5.6%
8 280
 
5.4%
Other values (8) 371
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6161
54.3%
ASCII 5178
45.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 904
 
14.7%
시 261
 
4.2%
구 261
 
4.2%
리 241
 
3.9%
면 188
 
3.1%
산 150
 
2.4%
주 101
 
1.6%
읍 101
 
1.6%
도 101
 
1.6%
지 100
 
1.6%
Other values (237) 3753
60.9%
ASCII
ValueCountFrequency (%)
1 819
15.8%
- 701
13.5%
2 631
12.2%
3 572
11.0%
4 493
9.5%
5 402
7.8%
7 325
 
6.3%
6 292
 
5.6%
0 292
 
5.6%
8 280
 
5.4%
Other values (8) 371
7.2%

전체면적
Text

Distinct490
Distinct (%)44.6%
Missing3
Missing (%)0.3%
Memory size8.7 KiB
2023-12-12T07:45:32.334887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length4
Mean length3.9908925
Min length2

Characters and Unicode

Total characters4382
Distinct characters17
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique226 ?
Unique (%)20.6%

Sample

1st row8250
2nd row6000
3rd row6952
4th row3500
5th row250
ValueCountFrequency (%)
1320 47
 
4.3%
3300 40
 
3.6%
1650 19
 
1.7%
2000 14
 
1.3%
6600 13
 
1.2%
50 12
 
1.1%
3000 11
 
1.0%
1000 11
 
1.0%
660 11
 
1.0%
500 10
 
0.9%
Other values (480) 910
82.9%
2023-12-12T07:45:32.786843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1099
25.1%
1 606
13.8%
3 452
10.3%
2 439
 
10.0%
5 404
 
9.2%
6 336
 
7.7%
4 310
 
7.1%
8 245
 
5.6%
9 235
 
5.4%
7 200
 
4.6%
Other values (7) 56
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4326
98.7%
Other Punctuation 38
 
0.9%
Other Symbol 14
 
0.3%
Other Letter 3
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1099
25.4%
1 606
14.0%
3 452
10.4%
2 439
 
10.1%
5 404
 
9.3%
6 336
 
7.8%
4 310
 
7.2%
8 245
 
5.7%
9 235
 
5.4%
7 200
 
4.6%
Other Letter
ValueCountFrequency (%)
벌 1
33.3%
통 1
33.3%
개 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 28
73.7%
, 10
 
26.3%
Other Symbol
ValueCountFrequency (%)
㎡ 14
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4378
99.9%
Hangul 3
 
0.1%
Latin 1
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1099
25.1%
1 606
13.8%
3 452
10.3%
2 439
 
10.0%
5 404
 
9.2%
6 336
 
7.7%
4 310
 
7.1%
8 245
 
5.6%
9 235
 
5.4%
7 200
 
4.6%
Other values (3) 52
 
1.2%
Hangul
ValueCountFrequency (%)
벌 1
33.3%
통 1
33.3%
개 1
33.3%
Latin
ValueCountFrequency (%)
m 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4365
99.6%
CJK Compat 14
 
0.3%
Hangul 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1099
25.2%
1 606
13.9%
3 452
10.4%
2 439
 
10.1%
5 404
 
9.3%
6 336
 
7.7%
4 310
 
7.1%
8 245
 
5.6%
9 235
 
5.4%
7 200
 
4.6%
Other values (3) 39
 
0.9%
CJK Compat
ValueCountFrequency (%)
㎡ 14
100.0%
Hangul
ValueCountFrequency (%)
벌 1
33.3%
통 1
33.3%
개 1
33.3%

분양면적
Text

MISSING 

Distinct180
Distinct (%)18.1%
Missing106
Missing (%)9.6%
Memory size8.7 KiB
2023-12-12T07:45:33.063734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length2
Mean length2.9517588
Min length1

Characters and Unicode

Total characters2937
Distinct characters45
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

Unique90 ?
Unique (%)9.0%

Sample

1st row16
2nd row16
3rd row17
4th row10
5th row10
ValueCountFrequency (%)
16.5 111
 
11.2%
33 101
 
10.2%
10 87
 
8.7%
16 55
 
5.5%
15 44
 
4.4%
20 39
 
3.9%
13 38
 
3.8%
30 36
 
3.6%
17 34
 
3.4%
12 30
 
3.0%
Other values (170) 420
42.2%
2023-12-12T07:45:33.556889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 576
19.6%
3 457
15.6%
0 406
13.8%
6 285
9.7%
5 281
9.6%
2 217
 
7.4%
. 200
 
6.8%
4 84
 
2.9%
9 80
 
2.7%
7 69
 
2.3%
Other values (35) 282
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2524
85.9%
Other Punctuation 212
 
7.2%
Other Letter 131
 
4.5%
Other Symbol 40
 
1.4%
Open Punctuation 11
 
0.4%
Close Punctuation 11
 
0.4%
Math Symbol 7
 
0.2%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
미 16
12.2%
정 16
12.2%
구 10
 
7.6%
개 10
 
7.6%
좌 9
 
6.9%
인 8
 
6.1%
문 7
 
5.3%
의 7
 
5.3%
전 7
 
5.3%
화 7
 
5.3%
Other values (16) 34
26.0%
Decimal Number
ValueCountFrequency (%)
1 576
22.8%
3 457
18.1%
0 406
16.1%
6 285
11.3%
5 281
11.1%
2 217
 
8.6%
4 84
 
3.3%
9 80
 
3.2%
7 69
 
2.7%
8 69
 
2.7%
Other Punctuation
ValueCountFrequency (%)
. 200
94.3%
, 8
 
3.8%
/ 2
 
0.9%
* 2
 
0.9%
Other Symbol
ValueCountFrequency (%)
㎡ 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2805
95.5%
Hangul 131
 
4.5%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
미 16
12.2%
정 16
12.2%
구 10
 
7.6%
개 10
 
7.6%
좌 9
 
6.9%
인 8
 
6.1%
문 7
 
5.3%
의 7
 
5.3%
전 7
 
5.3%
화 7
 
5.3%
Other values (16) 34
26.0%
Common
ValueCountFrequency (%)
1 576
20.5%
3 457
16.3%
0 406
14.5%
6 285
10.2%
5 281
10.0%
2 217
 
7.7%
. 200
 
7.1%
4 84
 
3.0%
9 80
 
2.9%
7 69
 
2.5%
Other values (8) 150
 
5.3%
Latin
ValueCountFrequency (%)
m 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2766
94.2%
Hangul 131
 
4.5%
CJK Compat 40
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 576
20.8%
3 457
16.5%
0 406
14.7%
6 285
10.3%
5 281
10.2%
2 217
 
7.8%
. 200
 
7.2%
4 84
 
3.0%
9 80
 
2.9%
7 69
 
2.5%
Other values (8) 111
 
4.0%
CJK Compat
ValueCountFrequency (%)
㎡ 40
100.0%
Hangul
ValueCountFrequency (%)
미 16
12.2%
정 16
12.2%
구 10
 
7.6%
개 10
 
7.6%
좌 9
 
6.9%
인 8
 
6.1%
문 7
 
5.3%
의 7
 
5.3%
전 7
 
5.3%
화 7
 
5.3%
Other values (16) 34
26.0%

분양가격
Text

MISSING 

Distinct100
Distinct (%)9.6%
Missing63
Missing (%)5.7%
Memory size8.7 KiB
2023-12-12T07:45:33.819691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length2
Mean length2.8352601
Min length1

Characters and Unicode

Total characters2943
Distinct characters97
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)4.9%

Sample

1st row70
2nd row70
3rd row70
4th row55
5th row55
ValueCountFrequency (%)
무료 214
20.6%
100 100
 
9.6%
30 84
 
8.1%
60 64
 
6.2%
50 62
 
6.0%
70 48
 
4.6%
전화문의 48
 
4.6%
80 36
 
3.5%
40 33
 
3.2%
15 27
 
2.6%
Other values (90) 322
31.0%
2023-12-12T07:45:34.240834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 858
29.2%
1 258
 
8.8%
무 222
 
7.5%
료 219
 
7.4%
5 202
 
6.9%
3 133
 
4.5%
2 116
 
3.9%
6 82
 
2.8%
4 71
 
2.4%
의 68
 
2.3%
Other values (87) 714
24.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1834
62.3%
Other Letter 991
33.7%
Other Punctuation 62
 
2.1%
Open Punctuation 21
 
0.7%
Close Punctuation 21
 
0.7%
Other Symbol 7
 
0.2%
Dash Punctuation 3
 
0.1%
Math Symbol 3
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
무 222
22.4%
료 219
22.1%
의 68
 
6.9%
원 63
 
6.4%
전 48
 
4.8%
문 48
 
4.8%
화 48
 
4.8%
천 38
 
3.8%
협 20
 
2.0%
연 20
 
2.0%
Other values (65) 197
19.9%
Decimal Number
ValueCountFrequency (%)
0 858
46.8%
1 258
 
14.1%
5 202
 
11.0%
3 133
 
7.3%
2 116
 
6.3%
6 82
 
4.5%
4 71
 
3.9%
7 63
 
3.4%
8 45
 
2.5%
9 6
 
0.3%
Other Punctuation
ValueCountFrequency (%)
/ 28
45.2%
, 14
22.6%
. 11
 
17.7%
: 7
 
11.3%
% 1
 
1.6%
※ 1
 
1.6%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1951
66.3%
Hangul 991
33.7%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
무 222
22.4%
료 219
22.1%
의 68
 
6.9%
원 63
 
6.4%
전 48
 
4.8%
문 48
 
4.8%
화 48
 
4.8%
천 38
 
3.8%
협 20
 
2.0%
연 20
 
2.0%
Other values (65) 197
19.9%
Common
ValueCountFrequency (%)
0 858
44.0%
1 258
 
13.2%
5 202
 
10.4%
3 133
 
6.8%
2 116
 
5.9%
6 82
 
4.2%
4 71
 
3.6%
7 63
 
3.2%
8 45
 
2.3%
/ 28
 
1.4%
Other values (11) 95
 
4.9%
Latin
ValueCountFrequency (%)
m 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1944
66.1%
Hangul 991
33.7%
CJK Compat 7
 
0.2%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 858
44.1%
1 258
 
13.3%
5 202
 
10.4%
3 133
 
6.8%
2 116
 
6.0%
6 82
 
4.2%
4 71
 
3.7%
7 63
 
3.2%
8 45
 
2.3%
/ 28
 
1.4%
Other values (10) 88
 
4.5%
Hangul
ValueCountFrequency (%)
무 222
22.4%
료 219
22.1%
의 68
 
6.9%
원 63
 
6.4%
전 48
 
4.8%
문 48
 
4.8%
화 48
 
4.8%
천 38
 
3.8%
협 20
 
2.0%
연 20
 
2.0%
Other values (65) 197
19.9%
CJK Compat
ValueCountFrequency (%)
㎡ 7
100.0%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%

부대시설
Text

MISSING 

Distinct197
Distinct (%)23.8%
Missing272
Missing (%)24.7%
Memory size8.7 KiB
2023-12-12T07:45:34.469492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length26
Mean length8.5971049
Min length1

Characters and Unicode

Total characters7127
Distinct characters158
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)8.3%

Sample

1st row화장실
2nd row화장실
3rd row화장실
4th row농기구보관함,음수대,주차장
5th row음수대
ValueCountFrequency (%)
화장실 78
 
9.4%
쉼터 41
 
4.9%
관수시설 31
 
3.7%
주차장,화장실 29
 
3.5%
화장실,주차장 28
 
3.4%
그늘막,급수시설,주차장,화장실 28
 
3.4%
없음 27
 
3.3%
화장실,쉼터 23
 
2.8%
급수,휴게시설,화장실 20
 
2.4%
화장실,주차장,식수대 20
 
2.4%
Other values (186) 504
60.8%
2023-12-12T07:45:34.907041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 1064
14.9%
장 853
 
12.0%
실 556
 
7.8%
화 517
 
7.3%
수 309
 
4.3%
주 276
 
3.9%
차 273
 
3.8%
시 243
 
3.4%
설 243
 
3.4%
터 236
 
3.3%
Other values (148) 2557
35.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6033
84.6%
Other Punctuation 1068
 
15.0%
Uppercase Letter 8
 
0.1%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%
Decimal Number 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 853
 
14.1%
실 556
 
9.2%
화 517
 
8.6%
수 309
 
5.1%
주 276
 
4.6%
차 273
 
4.5%
시 243
 
4.0%
설 243
 
4.0%
터 236
 
3.9%
쉼 235
 
3.9%
Other values (136) 2292
38.0%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
0 1
16.7%
9 1
16.7%
7 1
16.7%
6 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 1064
99.6%
. 2
 
0.2%
/ 2
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
E 4
50.0%
M 4
50.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6033
84.6%
Common 1086
 
15.2%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 853
 
14.1%
실 556
 
9.2%
화 517
 
8.6%
수 309
 
5.1%
주 276
 
4.6%
차 273
 
4.5%
시 243
 
4.0%
설 243
 
4.0%
터 236
 
3.9%
쉼 235
 
3.9%
Other values (136) 2292
38.0%
Common
ValueCountFrequency (%)
, 1064
98.0%
) 6
 
0.6%
( 6
 
0.6%
. 2
 
0.2%
/ 2
 
0.2%
1 2
 
0.2%
0 1
 
0.1%
9 1
 
0.1%
7 1
 
0.1%
6 1
 
0.1%
Latin
ValueCountFrequency (%)
E 4
50.0%
M 4
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6028
84.6%
ASCII 1094
 
15.4%
Compat Jamo 5
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 1064
97.3%
) 6
 
0.5%
( 6
 
0.5%
E 4
 
0.4%
M 4
 
0.4%
. 2
 
0.2%
/ 2
 
0.2%
1 2
 
0.2%
0 1
 
0.1%
9 1
 
0.1%
Other values (2) 2
 
0.2%
Hangul
ValueCountFrequency (%)
장 853
 
14.2%
실 556
 
9.2%
화 517
 
8.6%
수 309
 
5.1%
주 276
 
4.6%
차 273
 
4.5%
시 243
 
4.0%
설 243
 
4.0%
터 236
 
3.9%
쉼 235
 
3.9%
Other values (135) 2287
37.9%
Compat Jamo
ValueCountFrequency (%)
ㅡ 5
100.0%

모집기간
Categorical

Distinct42
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
9
183 
12
169 
8
158 
전화문의
116 
10
101 
Other values (37)
374 

Length

Max length21
Median length16
Mean length2.7120799
Min length1

Unique

Unique17 ?
Unique (%)1.5%

Sample

1st row9
2nd row9
3rd row9
4th row9
5th row9

Common Values

ValueCountFrequency (%)
9 183
16.6%
12 169
15.3%
8 158
14.4%
전화문의 116
10.5%
10 101
9.2%
<NA> 92
8.4%
12개월 81
7.4%
8개월 35
 
3.2%
10개월 25
 
2.3%
9개월 21
 
1.9%
Other values (32) 120
10.9%

Length

2023-12-12T07:45:35.090260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
9 183
16.6%
12 169
15.3%
8 158
14.4%
전화문의 116
10.5%
10 101
9.2%
na 92
8.4%
12개월 81
7.4%
8개월 35
 
3.2%
10개월 25
 
2.3%
9개월 21
 
1.9%
Other values (32) 120
10.9%

신청방법
Text

MISSING 

Distinct108
Distinct (%)10.7%
Missing91
Missing (%)8.3%
Memory size8.7 KiB
2023-12-12T07:45:35.315042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length26
Mean length4.5920792
Min length2

Characters and Unicode

Total characters4638
Distinct characters165
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)2.5%

Sample

1st row전화
2nd row전화
3rd row전화
4th row홈페이지,방문신청
5th row홈페이지,방문신청
ValueCountFrequency (%)
전화 283
28.0%
홈페이지 107
 
10.6%
방문 92
 
9.1%
전화,방문 28
 
2.8%
전화문의 27
 
2.7%
전화신청 26
 
2.6%
방문접수 24
 
2.4%
전화및방문접수 22
 
2.2%
인터넷,구청신청 18
 
1.8%
홈페이지및방문 14
 
1.4%
Other values (98) 369
36.5%
2023-12-12T07:45:35.689512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
화 490
 
10.6%
전 486
 
10.5%
문 345
 
7.4%
방 328
 
7.1%
이 248
 
5.3%
지 225
 
4.9%
페 215
 
4.6%
홈 212
 
4.6%
, 173
 
3.7%
청 157
 
3.4%
Other values (155) 1759
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4351
93.8%
Other Punctuation 202
 
4.4%
Lowercase Letter 40
 
0.9%
Decimal Number 17
 
0.4%
Close Punctuation 11
 
0.2%
Open Punctuation 11
 
0.2%
Uppercase Letter 5
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 490
 
11.3%
전 486
 
11.2%
문 345
 
7.9%
방 328
 
7.5%
이 248
 
5.7%
지 225
 
5.2%
페 215
 
4.9%
홈 212
 
4.9%
청 157
 
3.6%
수 157
 
3.6%
Other values (125) 1488
34.2%
Lowercase Letter
ValueCountFrequency (%)
o 6
15.0%
k 6
15.0%
s 4
10.0%
n 3
7.5%
r 3
7.5%
a 3
7.5%
w 3
7.5%
t 2
 
5.0%
h 2
 
5.0%
e 2
 
5.0%
Other values (5) 6
15.0%
Decimal Number
ValueCountFrequency (%)
2 10
58.8%
1 2
 
11.8%
7 2
 
11.8%
3 2
 
11.8%
4 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 173
85.6%
/ 20
 
9.9%
. 8
 
4.0%
: 1
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
S 2
40.0%
F 2
40.0%
N 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4351
93.8%
Common 242
 
5.2%
Latin 45
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 490
 
11.3%
전 486
 
11.2%
문 345
 
7.9%
방 328
 
7.5%
이 248
 
5.7%
지 225
 
5.2%
페 215
 
4.9%
홈 212
 
4.9%
청 157
 
3.6%
수 157
 
3.6%
Other values (125) 1488
34.2%
Latin
ValueCountFrequency (%)
o 6
13.3%
k 6
13.3%
s 4
 
8.9%
n 3
 
6.7%
r 3
 
6.7%
a 3
 
6.7%
w 3
 
6.7%
t 2
 
4.4%
S 2
 
4.4%
h 2
 
4.4%
Other values (8) 11
24.4%
Common
ValueCountFrequency (%)
, 173
71.5%
/ 20
 
8.3%
) 11
 
4.5%
( 11
 
4.5%
2 10
 
4.1%
. 8
 
3.3%
1 2
 
0.8%
7 2
 
0.8%
3 2
 
0.8%
- 1
 
0.4%
Other values (2) 2
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4351
93.8%
ASCII 287
 
6.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
화 490
 
11.3%
전 486
 
11.2%
문 345
 
7.9%
방 328
 
7.5%
이 248
 
5.7%
지 225
 
5.2%
페 215
 
4.9%
홈 212
 
4.9%
청 157
 
3.6%
수 157
 
3.6%
Other values (125) 1488
34.2%
ASCII
ValueCountFrequency (%)
, 173
60.3%
/ 20
 
7.0%
) 11
 
3.8%
( 11
 
3.8%
2 10
 
3.5%
. 8
 
2.8%
o 6
 
2.1%
k 6
 
2.1%
s 4
 
1.4%
n 3
 
1.0%
Other values (20) 35
 
12.2%

등록일
Text

Distinct101
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
2023-12-12T07:45:35.932094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length19.000908
Min length19

Characters and Unicode

Total characters20920
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.7%

Sample

1st row2019-05-154:14:00PM
2nd row2019-05-154:14:00PM
3rd row2019-05-154:14:00PM
4th row2019-05-154:14:00PM
5th row2019-05-154:14:00PM
ValueCountFrequency (%)
2019-05-155:03:00pm 47
 
4.3%
2020-01-063:43:00pm 43
 
3.9%
2019-05-154:39:00pm 37
 
3.4%
2019-05-154:49:00pm 35
 
3.2%
2020-01-064:20:00pm 34
 
3.1%
2019-05-154:55:00pm 31
 
2.8%
2019-05-155:25:00pm 30
 
2.7%
2019-05-154:37:00pm 30
 
2.7%
2020-01-063:53:00pm 30
 
2.7%
2019-05-154:16:00pm 29
 
2.6%
Other values (91) 755
68.6%
2023-12-12T07:45:36.345557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5666
27.1%
- 2202
 
10.5%
: 2202
 
10.5%
1 1953
 
9.3%
2 1910
 
9.1%
5 1634
 
7.8%
M 1101
 
5.3%
P 1100
 
5.3%
4 934
 
4.5%
9 812
 
3.9%
Other values (5) 1406
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14314
68.4%
Dash Punctuation 2202
 
10.5%
Other Punctuation 2202
 
10.5%
Uppercase Letter 2202
 
10.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5666
39.6%
1 1953
 
13.6%
2 1910
 
13.3%
5 1634
 
11.4%
4 934
 
6.5%
9 812
 
5.7%
3 654
 
4.6%
6 582
 
4.1%
7 94
 
0.7%
8 75
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
M 1101
50.0%
P 1100
50.0%
A 1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 2202
100.0%
Other Punctuation
ValueCountFrequency (%)
: 2202
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18718
89.5%
Latin 2202
 
10.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5666
30.3%
- 2202
 
11.8%
: 2202
 
11.8%
1 1953
 
10.4%
2 1910
 
10.2%
5 1634
 
8.7%
4 934
 
5.0%
9 812
 
4.3%
3 654
 
3.5%
6 582
 
3.1%
Other values (2) 169
 
0.9%
Latin
ValueCountFrequency (%)
M 1101
50.0%
P 1100
50.0%
A 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20920
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5666
27.1%
- 2202
 
10.5%
: 2202
 
10.5%
1 1953
 
9.3%
2 1910
 
9.1%
5 1634
 
7.8%
M 1101
 
5.3%
P 1100
 
5.3%
4 934
 
4.5%
9 812
 
3.9%
Other values (5) 1406
 
6.7%

수정일
Text

Distinct102
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
2023-12-12T07:45:36.643212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length19.000908
Min length19

Characters and Unicode

Total characters20920
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.8%

Sample

1st row2019-05-154:14:00PM
2nd row2019-05-154:14:00PM
3rd row2019-05-154:14:00PM
4th row2019-05-154:14:00PM
5th row2019-05-154:14:00PM
ValueCountFrequency (%)
2019-05-155:03:00pm 47
 
4.3%
2020-01-063:43:00pm 43
 
3.9%
2019-05-154:39:00pm 37
 
3.4%
2019-05-154:49:00pm 35
 
3.2%
2020-01-064:20:00pm 34
 
3.1%
2019-05-154:55:00pm 31
 
2.8%
2019-05-155:25:00pm 30
 
2.7%
2019-05-154:37:00pm 30
 
2.7%
2020-01-063:53:00pm 30
 
2.7%
2019-05-154:16:00pm 29
 
2.6%
Other values (92) 755
68.6%
2023-12-12T07:45:37.044800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5666
27.1%
- 2202
 
10.5%
: 2202
 
10.5%
1 1953
 
9.3%
2 1909
 
9.1%
5 1634
 
7.8%
M 1101
 
5.3%
P 1100
 
5.3%
4 934
 
4.5%
9 812
 
3.9%
Other values (5) 1407
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14314
68.4%
Dash Punctuation 2202
 
10.5%
Other Punctuation 2202
 
10.5%
Uppercase Letter 2202
 
10.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5666
39.6%
1 1953
 
13.6%
2 1909
 
13.3%
5 1634
 
11.4%
4 934
 
6.5%
9 812
 
5.7%
3 655
 
4.6%
6 582
 
4.1%
7 94
 
0.7%
8 75
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
M 1101
50.0%
P 1100
50.0%
A 1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 2202
100.0%
Other Punctuation
ValueCountFrequency (%)
: 2202
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18718
89.5%
Latin 2202
 
10.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5666
30.3%
- 2202
 
11.8%
: 2202
 
11.8%
1 1953
 
10.4%
2 1909
 
10.2%
5 1634
 
8.7%
4 934
 
5.0%
9 812
 
4.3%
3 655
 
3.5%
6 582
 
3.1%
Other values (2) 169
 
0.9%
Latin
ValueCountFrequency (%)
M 1101
50.0%
P 1100
50.0%
A 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20920
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5666
27.1%
- 2202
 
10.5%
: 2202
 
10.5%
1 1953
 
9.3%
2 1909
 
9.1%
5 1634
 
7.8%
M 1101
 
5.3%
P 1100
 
5.3%
4 934
 
4.5%
9 812
 
3.9%
Other values (5) 1407
 
6.7%

Correlations

2023-12-12T07:45:37.176446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유형분양가격모집기간
유형1.0000.9090.939
분양가격0.9091.0000.984
모집기간0.9390.9841.000

Missing values

2023-12-12T07:45:28.916517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T07:45:29.081532image/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.
2023-12-12T07:45:29.237251image/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

텃밭명운영주체유형주소전체면적분양면적분양가격부대시설모집기간신청방법등록일수정일
0과해주말농장개인민영주말농장오곡동518-282501670화장실9전화2019-05-154:14:00PM2019-05-154:14:00PM
1개화텃밭농장개인민영주말농장개화동682-260001670화장실9전화2019-05-154:14:00PM2019-05-154:14:00PM
2행복한도시농장개인민영주말농장오쇠동151-1169521770화장실9전화2019-05-154:14:00PM2019-05-154:14:00PM
3서림동텃밭관악구공영주말농장서림동143-135001055농기구보관함,음수대,주차장9홈페이지,방문신청2019-05-154:14:00PM2019-05-154:14:00PM
4충효공원텃밭관악구공영주말농장청룡동1529-12501055음수대9홈페이지,방문신청2019-05-154:14:00PM2019-05-154:14:00PM
5강남친환경도시텃밭강남구공영주말농장수서동37030671270주차장,휴게실,화장실등10홈페이지2019-05-154:13:00PM2019-05-154:13:00PM
6오곡텃밭강서구공영주말농장오곡동417-2외85001030쉼터,주차장,세면장,화장실,흙먼지털이기계등8홈페이지2019-05-154:14:00PM2019-05-154:14:00PM
7낙성대텃밭관악구공영주말농장낙성대동231-237001055원두막,주차장,농기구보관대,화장실9홈페이지,방문신청2019-05-154:14:00PM2019-05-154:14:00PM
8강감찬텃밭관악구공영주말농장낙성대동259-1137601055음수대,화장실,원두막,교육장,농기구보관대,주차장9홈페이지,방문신청2019-05-154:14:00PM2019-05-154:14:00PM
9성현동텃밭관악구공영주말농장성현동495-45601055주차장9홈페이지,방문신청2019-05-154:14:00PM2019-05-154:14:00PM
텃밭명운영주체유형주소전체면적분양면적분양가격부대시설모집기간신청방법등록일수정일
1091숭의초등학교미추홀구청기타미추홀구숭의동231-5717140무료<NA>12개월전화및방문접수2020-01-064:20:00PM2020-01-064:20:00PM
1092꽃뫼농원개인주말농장서구시천동3-16번지외7853전화문의전화문의주차장,화장실,체험장,쉼터9전화2020-01-064:20:00PM2020-01-064:20:00PM
1093서구도시농업농장서구청주말농장서구시천동114번지외5245전화문의무상주차장,쉼터8공고(방문신청)2020-01-064:20:00PM2020-01-064:20:00PM
1094<NA><NA>체험및교육순천시<NA>1300<NA>교육.체험텃밭직영<NA>2020-01-064:22:00PM2020-01-064:22:00PM
1095조례텃밭정원순천시분양순천시조례동382-51703개인10(40구좌)30/1년관정,농기구보관실,휀스,쉼터등(2019.3.~2021.2.24개월)주소지관할면,동에방문접수2020-01-064:22:00PM2020-01-064:22:00PM
1096화순군힐링가족텃밭화순군임대화순군화순읍교리247189716.530쉼터,농자재일부11서면,메일2020-01-064:23:00PM2020-01-064:23:00PM
1097더자임농장개인주말농장전주시만성동만성동813-1200033100주차장,화장실10전화2020-01-064:27:00PM2020-01-064:27:00PM
1098<NA>개인주말농장상당구운동동301,305-1,305-353302080주차장,화장실,휴식공간8희망텃밭농장에방문접수또는전화접수2020-01-064:34:00PM2020-01-064:34:00PM
1099미평텃밭청주시농업기술센터주말농장서원구미평동271-1330016.5무료<NA>8농업기술센터방문접수2020-01-064:34:00PM2020-01-064:34:00PM
1100<NA>개인주말농장청원구외평동668-330002080주차장,화장실,휴식공간8희망텃밭농장에방문접수또는전화접수2020-01-064:35:00PM2020-01-064:35:00PM

Duplicate rows

Most frequently occurring

텃밭명운영주체유형주소전체면적분양면적분양가격부대시설모집기간신청방법등록일수정일# duplicates
2<NA>개인주말농장광도면죽림리358-413203345<NA>전화문의방문2019-05-155:25:00PM2019-05-155:25:00PM4
0궁동3구역구로구공영주말농장궁동70-1외355241660주차장,화장실9구로구홈페이지2019-05-154:16:00PM2019-05-154:16:00PM2
1<NA>개인주말농장광도면죽림리358-4132016.522.5<NA>전화문의방문2019-05-155:25:00PM2019-05-155:25:00PM2