Overview

Dataset statistics

Number of variables10
Number of observations28
Missing cells7
Missing cells (%)2.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory87.7 B

Variable types

Categorical1
Text6
Numeric3

Alerts

소재지우편번호 is highly overall correlated with WGS84위도 and 1 other fieldsHigh correlation
WGS84위도 is highly overall correlated with 소재지우편번호High correlation
WGS84경도 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 소재지우편번호 and 1 other fieldsHigh correlation
연락처 has 2 (7.1%) missing valuesMissing
특산품정보 has 1 (3.6%) missing valuesMissing
체험상품정보 has 3 (10.7%) missing valuesMissing
소재지도로명주소 has 1 (3.6%) missing valuesMissing
마을명 has unique valuesUnique
소재지지번주소 has unique valuesUnique
WGS84위도 has unique valuesUnique
WGS84경도 has unique valuesUnique

Reproduction

Analysis started2023-12-10 21:49:20.511137
Analysis finished2023-12-10 21:49:22.232390
Duration1.72 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)46.4%
Missing0
Missing (%)0.0%
Memory size356.0 B
양평군
7 
여주시
4 
양주시
3 
화성시
3 
파주시
2 
Other values (8)
9 

Length

Max length4
Median length3
Mean length3.0357143
Min length3

Unique

Unique7 ?
Unique (%)25.0%

Sample

1st row가평군
2nd row군포시
3rd row남양주시
4th row안산시
5th row안성시

Common Values

ValueCountFrequency (%)
양평군 7
25.0%
여주시 4
14.3%
양주시 3
10.7%
화성시 3
10.7%
파주시 2
 
7.1%
포천시 2
 
7.1%
가평군 1
 
3.6%
군포시 1
 
3.6%
남양주시 1
 
3.6%
안산시 1
 
3.6%
Other values (3) 3
10.7%

Length

2023-12-11T06:49:22.319953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
양평군 7
25.0%
여주시 4
14.3%
양주시 3
10.7%
화성시 3
10.7%
파주시 2
 
7.1%
포천시 2
 
7.1%
가평군 1
 
3.6%
군포시 1
 
3.6%
남양주시 1
 
3.6%
안산시 1
 
3.6%
Other values (3) 3
10.7%

마을명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-11T06:49:22.521035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.0357143
Min length3

Characters and Unicode

Total characters141
Distinct characters73
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row잣마을
2nd row오금마을
3rd row고로쇠마을
4th row대부종현마을
5th row과채류마을
ValueCountFrequency (%)
잣마을 1
 
3.6%
오금마을 1
 
3.6%
제부모세마을 1
 
3.6%
궁평리마을 1
 
3.6%
숯골마을 1
 
3.6%
지동산촌마을 1
 
3.6%
산머루마을 1
 
3.6%
통일마을 1
 
3.6%
도니울명품쌀마을 1
 
3.6%
학일마을 1
 
3.6%
Other values (18) 18
64.3%
2023-12-11T06:49:23.069592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
을 27
19.1%
마 27
19.1%
산 4
 
2.8%
고 3
 
2.1%
기 3
 
2.1%
리 3
 
2.1%
화 2
 
1.4%
일 2
 
1.4%
미 2
 
1.4%
지 2
 
1.4%
Other values (63) 66
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 141
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
을 27
19.1%
마 27
19.1%
산 4
 
2.8%
고 3
 
2.1%
기 3
 
2.1%
리 3
 
2.1%
화 2
 
1.4%
일 2
 
1.4%
미 2
 
1.4%
지 2
 
1.4%
Other values (63) 66
46.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 141
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
을 27
19.1%
마 27
19.1%
산 4
 
2.8%
고 3
 
2.1%
기 3
 
2.1%
리 3
 
2.1%
화 2
 
1.4%
일 2
 
1.4%
미 2
 
1.4%
지 2
 
1.4%
Other values (63) 66
46.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 141
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
을 27
19.1%
마 27
19.1%
산 4
 
2.8%
고 3
 
2.1%
기 3
 
2.1%
리 3
 
2.1%
화 2
 
1.4%
일 2
 
1.4%
미 2
 
1.4%
지 2
 
1.4%
Other values (63) 66
46.8%

연락처
Text

MISSING 

Distinct26
Distinct (%)100.0%
Missing2
Missing (%)7.1%
Memory size356.0 B
2023-12-11T06:49:23.268824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.115385
Min length12

Characters and Unicode

Total characters315
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

Unique26 ?
Unique (%)100.0%

Sample

1st row031-582-6089
2nd row031-344-5959
3rd row031-511-2521
4th row031-886-7002
5th row031-674-4265
ValueCountFrequency (%)
031-344-5959 1
 
3.8%
031-511-2521 1
 
3.8%
031-357-3808 1
 
3.8%
031-356-7339 1
 
3.8%
031-532-7796 1
 
3.8%
031-535-5399 1
 
3.8%
031-958-3600 1
 
3.8%
031-940-8250 1
 
3.8%
070-4239-5284 1
 
3.8%
031-334-7991 1
 
3.8%
Other values (16) 16
61.5%
2023-12-11T06:49:23.592223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 52
16.5%
3 48
15.2%
0 41
13.0%
1 31
9.8%
7 26
8.3%
5 24
7.6%
6 24
7.6%
8 22
7.0%
4 17
 
5.4%
9 16
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 263
83.5%
Dash Punctuation 52
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 48
18.3%
0 41
15.6%
1 31
11.8%
7 26
9.9%
5 24
9.1%
6 24
9.1%
8 22
8.4%
4 17
 
6.5%
9 16
 
6.1%
2 14
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 315
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 52
16.5%
3 48
15.2%
0 41
13.0%
1 31
9.8%
7 26
8.3%
5 24
7.6%
6 24
7.6%
8 22
7.0%
4 17
 
5.4%
9 16
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 315
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 52
16.5%
3 48
15.2%
0 41
13.0%
1 31
9.8%
7 26
8.3%
5 24
7.6%
6 24
7.6%
8 22
7.0%
4 17
 
5.4%
9 16
 
5.1%

특산품정보
Text

MISSING 

Distinct26
Distinct (%)96.3%
Missing1
Missing (%)3.6%
Memory size356.0 B
2023-12-11T06:49:23.794577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length18
Mean length14.37037
Min length7

Characters and Unicode

Total characters388
Distinct characters118
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

Unique25 ?
Unique (%)92.6%

Sample

1st row잣,잣잎액상차
2nd row고로쇠,장뇌삼,된장,고추장,산마물
3rd row굴,바지락,동죽,낙지
4th row방울토마토,메주콩,포도,된장,고추장,청국장
5th row전통장,전통주,쌀,화훼
ValueCountFrequency (%)
잣,잣잎액상차 2
 
7.4%
고로쇠,장뇌삼,된장,고추장,산마물 1
 
3.7%
김,바지락,굴,포도 1
 
3.7%
바지락,해산물(낙지,주꾸미 1
 
3.7%
우렁쌀,사과,된장,고추장,간장,버섯 1
 
3.7%
산머루즙,단호박,산채,인삼,참게장,표고버섯 1
 
3.7%
장단콩,장단콩장류(된장,고추장),통일촌특미 1
 
3.7%
이천명품쌀,사과,배,복숭아,자두,고구마,이천벌꿀 1
 
3.7%
간장,고추장,된장등 1
 
3.7%
땅콩,쌀,고구마,고추,감자 1
 
3.7%
Other values (16) 16
59.3%
2023-12-11T06:49:24.202573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 85
21.9%
장 21
 
5.4%
고 19
 
4.9%
마 11
 
2.8%
지 9
 
2.3%
수 9
 
2.3%
추 8
 
2.1%
쌀 7
 
1.8%
콩 7
 
1.8%
산 7
 
1.8%
Other values (108) 205
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 299
77.1%
Other Punctuation 85
 
21.9%
Close Punctuation 2
 
0.5%
Open Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 21
 
7.0%
고 19
 
6.4%
마 11
 
3.7%
지 9
 
3.0%
수 9
 
3.0%
추 8
 
2.7%
쌀 7
 
2.3%
콩 7
 
2.3%
산 7
 
2.3%
구 7
 
2.3%
Other values (105) 194
64.9%
Other Punctuation
ValueCountFrequency (%)
, 85
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 299
77.1%
Common 89
 
22.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 21
 
7.0%
고 19
 
6.4%
마 11
 
3.7%
지 9
 
3.0%
수 9
 
3.0%
추 8
 
2.7%
쌀 7
 
2.3%
콩 7
 
2.3%
산 7
 
2.3%
구 7
 
2.3%
Other values (105) 194
64.9%
Common
ValueCountFrequency (%)
, 85
95.5%
) 2
 
2.2%
( 2
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 299
77.1%
ASCII 89
 
22.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 85
95.5%
) 2
 
2.2%
( 2
 
2.2%
Hangul
ValueCountFrequency (%)
장 21
 
7.0%
고 19
 
6.4%
마 11
 
3.7%
지 9
 
3.0%
수 9
 
3.0%
추 8
 
2.7%
쌀 7
 
2.3%
콩 7
 
2.3%
산 7
 
2.3%
구 7
 
2.3%
Other values (105) 194
64.9%

체험상품정보
Text

MISSING 

Distinct25
Distinct (%)100.0%
Missing3
Missing (%)10.7%
Memory size356.0 B
2023-12-11T06:49:24.450988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length26
Mean length21.36
Min length6

Characters and Unicode

Total characters534
Distinct characters143
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

Unique25 ?
Unique (%)100.0%

Sample

1st row장담그기체험
2nd row조개잡기, 독살체험, 맨손고기잡기체험
3rd row쑥개떡 만들기, 봄나물캐기, 포도주스만들기, 농사체험
4th row미술체험, 유가공체험, 한지, 칠보체험, 발효음식체험, 전통주체험
5th row두부만들기, 오색쌀강정
ValueCountFrequency (%)
딸기따기 3
 
3.3%
고구마캐기 2
 
2.2%
농사체험 2
 
2.2%
김장 2
 
2.2%
농산물수확 2
 
2.2%
공예체험 2
 
2.2%
바지락캐기 2
 
2.2%
인절미만들기 2
 
2.2%
감자캐기 2
 
2.2%
만들기 2
 
2.2%
Other values (70) 71
77.2%
2023-12-11T06:49:24.821090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
67
 
12.5%
, 55
 
10.3%
기 48
 
9.0%
체 21
 
3.9%
험 21
 
3.9%
들 13
 
2.4%
만 11
 
2.1%
고 10
 
1.9%
캐 9
 
1.7%
따 8
 
1.5%
Other values (133) 271
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 410
76.8%
Space Separator 67
 
12.5%
Other Punctuation 55
 
10.3%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 48
 
11.7%
체 21
 
5.1%
험 21
 
5.1%
들 13
 
3.2%
만 11
 
2.7%
고 10
 
2.4%
캐 9
 
2.2%
따 8
 
2.0%
수 8
 
2.0%
미 7
 
1.7%
Other values (129) 254
62.0%
Space Separator
ValueCountFrequency (%)
67
100.0%
Other Punctuation
ValueCountFrequency (%)
, 55
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 410
76.8%
Common 124
 
23.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 48
 
11.7%
체 21
 
5.1%
험 21
 
5.1%
들 13
 
3.2%
만 11
 
2.7%
고 10
 
2.4%
캐 9
 
2.2%
따 8
 
2.0%
수 8
 
2.0%
미 7
 
1.7%
Other values (129) 254
62.0%
Common
ValueCountFrequency (%)
67
54.0%
, 55
44.4%
) 1
 
0.8%
( 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 410
76.8%
ASCII 124
 
23.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
67
54.0%
, 55
44.4%
) 1
 
0.8%
( 1
 
0.8%
Hangul
ValueCountFrequency (%)
기 48
 
11.7%
체 21
 
5.1%
험 21
 
5.1%
들 13
 
3.2%
만 11
 
2.7%
고 10
 
2.4%
캐 9
 
2.2%
따 8
 
2.0%
수 8
 
2.0%
미 7
 
1.7%
Other values (129) 254
62.0%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13580
Minimum10800
Maximum18556
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-11T06:49:24.938109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10800
5-th percentile10907.95
Q111899
median12570
Q315696
95-th percentile18554.95
Maximum18556
Range7756
Interquartile range (IQR)3797

Descriptive statistics

Standard deviation2607.8102
Coefficient of variation (CV)0.19203315
Kurtosis-0.56507358
Mean13580
Median Absolute Deviation (MAD)1107
Skewness0.98592681
Sum380240
Variance6800674.1
MonotonicityNot monotonic
2023-12-11T06:49:25.047966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
18556 2
 
7.1%
12407 1
 
3.6%
15864 1
 
3.6%
18553 1
 
3.6%
11101 1
 
3.6%
11137 1
 
3.6%
10804 1
 
3.6%
10800 1
 
3.6%
17401 1
 
3.6%
17169 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
10800 1
3.6%
10804 1
3.6%
11101 1
3.6%
11137 1
3.6%
11400 1
3.6%
11402 1
3.6%
11524 1
3.6%
12024 1
3.6%
12407 1
3.6%
12509 1
3.6%
ValueCountFrequency (%)
18556 2
7.1%
18553 1
3.6%
17602 1
3.6%
17401 1
3.6%
17169 1
3.6%
15864 1
3.6%
15640 1
3.6%
12647 1
3.6%
12617 1
3.6%
12612 1
3.6%

소재지지번주소
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-11T06:49:25.299523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length27
Mean length22.75
Min length19

Characters and Unicode

Total characters637
Distinct characters94
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

Unique28 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 북면 이곡리 282-2번지
2nd row경기도 군포시 금정동 876번지 율곡@관리동 2층
3rd row경기도 남양주시 수동면 내방리 316-3번지
4th row경기도 안산시 단원구 대부북동 1364-2번지
5th row경기도 안성시 미양면 신계리 99번지
ValueCountFrequency (%)
경기도 28
 
19.6%
양평군 7
 
4.9%
여주시 4
 
2.8%
서신면 3
 
2.1%
화성시 3
 
2.1%
양주시 3
 
2.1%
파주시 2
 
1.4%
남면 2
 
1.4%
용문면 2
 
1.4%
포천시 2
 
1.4%
Other values (87) 87
60.8%
2023-12-11T06:49:25.674969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
115
 
18.1%
도 29
 
4.6%
경 28
 
4.4%
기 28
 
4.4%
리 28
 
4.4%
면 26
 
4.1%
지 25
 
3.9%
번 24
 
3.8%
시 20
 
3.1%
- 20
 
3.1%
Other values (84) 294
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 394
61.9%
Space Separator 115
 
18.1%
Decimal Number 106
 
16.6%
Dash Punctuation 20
 
3.1%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 29
 
7.4%
경 28
 
7.1%
기 28
 
7.1%
리 28
 
7.1%
면 26
 
6.6%
지 25
 
6.3%
번 24
 
6.1%
시 20
 
5.1%
양 13
 
3.3%
군 11
 
2.8%
Other values (70) 162
41.1%
Decimal Number
ValueCountFrequency (%)
1 20
18.9%
2 18
17.0%
3 15
14.2%
5 11
10.4%
8 9
8.5%
9 8
 
7.5%
6 8
 
7.5%
0 6
 
5.7%
4 6
 
5.7%
7 5
 
4.7%
Other Punctuation
ValueCountFrequency (%)
@ 1
50.0%
? 1
50.0%
Space Separator
ValueCountFrequency (%)
115
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 394
61.9%
Common 243
38.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 29
 
7.4%
경 28
 
7.1%
기 28
 
7.1%
리 28
 
7.1%
면 26
 
6.6%
지 25
 
6.3%
번 24
 
6.1%
시 20
 
5.1%
양 13
 
3.3%
군 11
 
2.8%
Other values (70) 162
41.1%
Common
ValueCountFrequency (%)
115
47.3%
- 20
 
8.2%
1 20
 
8.2%
2 18
 
7.4%
3 15
 
6.2%
5 11
 
4.5%
8 9
 
3.7%
9 8
 
3.3%
6 8
 
3.3%
0 6
 
2.5%
Other values (4) 13
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 394
61.9%
ASCII 243
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
115
47.3%
- 20
 
8.2%
1 20
 
8.2%
2 18
 
7.4%
3 15
 
6.2%
5 11
 
4.5%
8 9
 
3.7%
9 8
 
3.3%
6 8
 
3.3%
0 6
 
2.5%
Other values (4) 13
 
5.3%
Hangul
ValueCountFrequency (%)
도 29
 
7.4%
경 28
 
7.1%
기 28
 
7.1%
리 28
 
7.1%
면 26
 
6.6%
지 25
 
6.3%
번 24
 
6.1%
시 20
 
5.1%
양 13
 
3.3%
군 11
 
2.8%
Other values (70) 162
41.1%

소재지도로명주소
Text

MISSING 

Distinct27
Distinct (%)100.0%
Missing1
Missing (%)3.6%
Memory size356.0 B
2023-12-11T06:49:25.914040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length20.444444
Min length14

Characters and Unicode

Total characters552
Distinct characters96
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

Unique27 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 북면 내촌길 50
2nd row경기도 군포시 오금로 43
3rd row경기도 남양주시 수동면 비룡로1705번길 30
4th row경기도 안산시 단원구 대선로 134
5th row경기도 안성시 미양면 신계4길 20
ValueCountFrequency (%)
경기도 27
 
20.0%
양평군 6
 
4.4%
여주시 4
 
3.0%
서신면 3
 
2.2%
화성시 3
 
2.2%
양주시 3
 
2.2%
포천시 2
 
1.5%
파주시 2
 
1.5%
남면 2
 
1.5%
117 1
 
0.7%
Other values (82) 82
60.7%
2023-12-11T06:49:26.348552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
108
19.6%
경 27
 
4.9%
도 27
 
4.9%
기 27
 
4.9%
면 25
 
4.5%
길 21
 
3.8%
시 20
 
3.6%
1 19
 
3.4%
양 14
 
2.5%
3 13
 
2.4%
Other values (86) 251
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 343
62.1%
Space Separator 108
 
19.6%
Decimal Number 93
 
16.8%
Dash Punctuation 8
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 27
 
7.9%
도 27
 
7.9%
기 27
 
7.9%
면 25
 
7.3%
길 21
 
6.1%
시 20
 
5.8%
양 14
 
4.1%
로 11
 
3.2%
평 11
 
3.2%
주 10
 
2.9%
Other values (74) 150
43.7%
Decimal Number
ValueCountFrequency (%)
1 19
20.4%
3 13
14.0%
2 10
10.8%
0 10
10.8%
4 8
8.6%
6 8
8.6%
7 7
 
7.5%
5 7
 
7.5%
9 6
 
6.5%
8 5
 
5.4%
Space Separator
ValueCountFrequency (%)
108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 343
62.1%
Common 209
37.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 27
 
7.9%
도 27
 
7.9%
기 27
 
7.9%
면 25
 
7.3%
길 21
 
6.1%
시 20
 
5.8%
양 14
 
4.1%
로 11
 
3.2%
평 11
 
3.2%
주 10
 
2.9%
Other values (74) 150
43.7%
Common
ValueCountFrequency (%)
108
51.7%
1 19
 
9.1%
3 13
 
6.2%
2 10
 
4.8%
0 10
 
4.8%
- 8
 
3.8%
4 8
 
3.8%
6 8
 
3.8%
7 7
 
3.3%
5 7
 
3.3%
Other values (2) 11
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 343
62.1%
ASCII 209
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
108
51.7%
1 19
 
9.1%
3 13
 
6.2%
2 10
 
4.8%
0 10
 
4.8%
- 8
 
3.8%
4 8
 
3.8%
6 8
 
3.8%
7 7
 
3.3%
5 7
 
3.3%
Other values (2) 11
 
5.3%
Hangul
ValueCountFrequency (%)
경 27
 
7.9%
도 27
 
7.9%
기 27
 
7.9%
면 25
 
7.3%
길 21
 
6.1%
시 20
 
5.8%
양 14
 
4.1%
로 11
 
3.2%
평 11
 
3.2%
주 10
 
2.9%
Other values (74) 150
43.7%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.512269
Minimum36.964589
Maximum38.154454
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-11T06:49:26.500829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.964589
5-th percentile37.126139
Q137.262635
median37.453495
Q337.793155
95-th percentile37.958473
Maximum38.154454
Range1.1898647
Interquartile range (IQR)0.53052043

Descriptive statistics

Standard deviation0.31608065
Coefficient of variation (CV)0.0084260606
Kurtosis-0.91335629
Mean37.512269
Median Absolute Deviation (MAD)0.24209785
Skewness0.31898696
Sum1050.3435
Variance0.09990698
MonotonicityNot monotonic
2023-12-11T06:49:26.632967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
37.8806819395 1
 
3.6%
37.2844393048 1
 
3.6%
37.1434546778 1
 
3.6%
37.1686738154 1
 
3.6%
37.116814751 1
 
3.6%
38.1544538715 1
 
3.6%
37.9382731764 1
 
3.6%
37.9693500693 1
 
3.6%
37.9063047665 1
 
3.6%
37.2070440943 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
36.9645891437 1
3.6%
37.116814751 1
3.6%
37.1434546778 1
3.6%
37.1473766803 1
3.6%
37.1686738154 1
3.6%
37.2070440943 1
3.6%
37.2600811782 1
3.6%
37.2634861108 1
3.6%
37.2844393048 1
3.6%
37.3537578869 1
3.6%
ValueCountFrequency (%)
38.1544538715 1
3.6%
37.9693500693 1
3.6%
37.9382731764 1
3.6%
37.922785452 1
3.6%
37.9063047665 1
3.6%
37.8933372945 1
3.6%
37.8806819395 1
3.6%
37.7639797602 1
3.6%
37.6912398025 1
3.6%
37.6414641314 1
3.6%

WGS84경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.23243
Minimum126.56984
Maximum127.74052
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-11T06:49:26.744901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.56984
5-th percentile126.64394
Q1126.9471
median127.28383
Q3127.55664
95-th percentile127.67035
Maximum127.74052
Range1.1706825
Interquartile range (IQR)0.60954129

Descriptive statistics

Standard deviation0.36550286
Coefficient of variation (CV)0.0028727178
Kurtosis-1.1933416
Mean127.23243
Median Absolute Deviation (MAD)0.30556575
Skewness-0.41629581
Sum3562.5079
Variance0.13359234
MonotonicityNot monotonic
2023-12-11T06:49:26.858015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
127.5308280824 1
 
3.6%
127.7405249855 1
 
3.6%
126.6801436984 1
 
3.6%
126.6244432925 1
 
3.6%
126.683537678 1
 
3.6%
127.2531072523 1
 
3.6%
127.1211151894 1
 
3.6%
126.9519218584 1
 
3.6%
126.7311872482 1
 
3.6%
127.4810107418 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
126.5698424883 1
3.6%
126.6244432925 1
3.6%
126.6801436984 1
3.6%
126.683537678 1
3.6%
126.7311872482 1
3.6%
126.9302924383 1
3.6%
126.9326157604 1
3.6%
126.9519218584 1
3.6%
126.9582066698 1
3.6%
126.997449006 1
3.6%
ValueCountFrequency (%)
127.7405249855 1
3.6%
127.6974722319 1
3.6%
127.6199668167 1
3.6%
127.6057470219 1
3.6%
127.6039524387 1
3.6%
127.5748296341 1
3.6%
127.5572601827 1
3.6%
127.5564287754 1
3.6%
127.5308280824 1
3.6%
127.4810107418 1
3.6%

Interactions

2023-12-11T06:49:21.631466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:49:21.087236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:49:21.385535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:49:21.732292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:49:21.197803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:49:21.477608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:49:21.816967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:49:21.289805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:49:21.555569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:49:26.946466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명마을명연락처특산품정보체험상품정보소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
시군명1.0001.0001.0000.6561.0001.0001.0001.0000.8320.879
마을명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
특산품정보0.6561.0001.0001.0001.0000.9571.0001.0000.9370.455
체험상품정보1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지우편번호1.0001.0001.0000.9571.0001.0001.0001.0000.7670.790
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
WGS84위도0.8321.0001.0000.9371.0000.7671.0001.0001.0000.634
WGS84경도0.8791.0001.0000.4551.0000.7901.0001.0000.6341.000
2023-12-11T06:49:27.061361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명
소재지우편번호1.000-0.970-0.0600.826
WGS84위도-0.9701.0000.0260.477
WGS84경도-0.0600.0261.0000.556
시군명0.8260.4770.5561.000

Missing values

2023-12-11T06:49:21.924990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:49:22.062093image/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.
2023-12-11T06:49:22.162530image/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

시군명마을명연락처특산품정보체험상품정보소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
0가평군잣마을031-582-6089잣,잣잎액상차<NA>12407경기도 가평군 북면 이곡리 282-2번지경기도 가평군 북면 내촌길 5037.880682127.530828
1군포시오금마을031-344-5959<NA><NA>15864경기도 군포시 금정동 876번지 율곡@관리동 2층경기도 군포시 오금로 4337.353758126.932616
2남양주시고로쇠마을031-511-2521고로쇠,장뇌삼,된장,고추장,산마물장담그기체험12024경기도 남양주시 수동면 내방리 316-3번지경기도 남양주시 수동면 비룡로1705번길 3037.76398127.28183
3안산시대부종현마을031-886-7002굴,바지락,동죽,낙지조개잡기, 독살체험, 맨손고기잡기체험15640경기도 안산시 단원구 대부북동 1364-2번지경기도 안산시 단원구 대선로 13437.260081126.569842
4안성시과채류마을031-674-4265방울토마토,메주콩,포도,된장,고추장,청국장쑥개떡 만들기, 봄나물캐기, 포도주스만들기, 농사체험17602경기도 안성시 미양면 신계리 99번지경기도 안성시 미양면 신계4길 2036.964589127.176535
5양주시맹골마을031-863-6978전통장,전통주,쌀,화훼미술체험, 유가공체험, 한지, 칠보체험, 발효음식체험, 전통주체험11400경기도 양주시 남면 매곡리 305번지 마을정보센터?경기도 양주시 남면 휴암로443번길 29-637.893337126.958207
6양주시초록지기마을031-863-4666아로니아,콩,농산물두부만들기, 오색쌀강정11402경기도 양주시 남면 황방리 131-1번지경기도 양주시 남면 양연로173번길 2637.922785126.997449
7양주시천생연분마을031-855-6223연,고구마,무,배추연잎밥만들기, 농사체험, 주말농장11524경기도 양주시 장흥면 삼상리 210-2번지경기도 양주시 장흥면 일영로502번길 10537.69124126.930292
8양평군학곡마을031-771-1466돼지감자차,고구마,마,곰취딸기따기, 여름물놀이, 가을농산물수확체험, 김장체험12571경기도 양평군 강상면 송학리 547-1번지경기도 양평군 강상면 학곡양지말길 35-437.469913127.464241
9양평군미사랑마을031-773-9443소고기,느타리버섯,서리태,쌀소고기 시식, 산나물 캐기12544경기도 양평군 지평면 옥현리 950번지경기도 양평군 지평면 지평로 87837.435425127.619967
시군명마을명연락처특산품정보체험상품정보소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
18여주시서화마을070-4234-0330땅콩,쌀,고구마,고추,감자<NA>12612경기도 여주시 북내면 서원리 182-1번지경기도 여주시 북내면 서원2길 3837.39932127.697472
19용인시학일마을031-334-7991간장,고추장,된장등벼베기, 모내기, 고구마케기17169경기도 용인시 처인구 원삼면 학일리 913-1번지경기도 용인시 처인구 원삼면 학일로 11737.147377127.285821
20이천시도니울명품쌀마을070-4239-5284이천명품쌀,사과,배,복숭아,자두,고구마,이천벌꿀딸기따기, 손모내기, 미꾸라지잡기, 고구마, 감자캐기17401경기도 이천시 대월면 도리리 359-2번지경기도 이천시 대월면 대월로667번길 35937.207044127.481011
21파주시통일마을031-940-8250장단콩,장단콩장류(된장,고추장),통일촌특미초콜릿만들기, 딸기따기체험, 안보관광10800경기도 파주시 군내면 백연리 480-1번지경기도 파주시 군내면 통일촌길 22037.906305126.731187
22파주시산머루마을031-958-3600산머루즙,단호박,산채,인삼,참게장,표고버섯산촌 사계체험, 치즈스쿨체험, 와이너리 체험10804경기도 파주시 적성면 객현리 207-7번지경기도 파주시 적성면 윗배우니길 19437.96935126.951922
23포천시지동산촌마을031-535-5399잣,잣잎액상차갓숲생태체험, 농산물수확, 공예체험11137경기도 포천시 신북면 금동리 375번지경기도 포천시 신북면 지동길 114-1137.938273127.121115
24포천시숯골마을031-532-7796우렁쌀,사과,된장,고추장,간장,버섯농산물수확, 공예체험, 손두부만들기, 인절미만들기11101경기도 포천시 관인면 탄동2리 545-8경기도 포천시 관인면 숯골길 2738.154454127.253107
25화성시궁평리마을031-356-7339바지락,해산물(낙지,주꾸미)바지락잡기, 슬로푸드체험18556경기도 화성시 서신면 궁평리 688번지경기도 화성시 서신면 궁평항로 1069-937.116815126.683538
26화성시제부모세마을031-357-3808김,바지락,굴,포도바지락캐기, 바다배 낚시, 동물농장체험18553경기도 화성시 서신면 제부리 30-6번지경기도 화성시 서신면 제부말길 9637.168674126.624443
27화성시백미리031-357-3379먹보김,바지락,낙지,포도망둥어낚시, 가약(패들보트), 바지락캐기 등18556경기도 화성시 서신면 백미리 328-2번지경기도 화성시 서신면 백미길 210-3537.143455126.680144