Overview

Dataset statistics

Number of variables7
Number of observations53
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory59.5 B

Variable types

Categorical4
Numeric1
Text2

Dataset

Description경상남도 남해군의 현수막게시대 설치현황입니다. 읍면별 게시면수, 설치장소, 주소, 현수막 규격, 종류와 용도구분 등 현수막 게시대의 정보를 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15039836/fileData.do

Alerts

게시면수 is highly overall correlated with 현수막규격(미터) and 2 other fieldsHigh correlation
현수막규격(미터) is highly overall correlated with 게시면수 and 2 other fieldsHigh correlation
종류 is highly overall correlated with 게시면수 and 2 other fieldsHigh correlation
비고 is highly overall correlated with 게시면수 and 2 other fieldsHigh correlation
설치장소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:07:30.048965
Analysis finished2023-12-12 04:07:31.369944
Duration1.32 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

설치읍면
Categorical

Distinct10
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
남해읍
12 
삼동면
이동면
서면
창선면
Other values (5)
18 

Length

Max length3
Median length3
Mean length2.8301887
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남해읍 12
22.6%
삼동면 7
13.2%
이동면 6
11.3%
서면 5
9.4%
창선면 5
9.4%
미조면 4
 
7.5%
남면 4
 
7.5%
고현면 4
 
7.5%
상주면 3
 
5.7%
설천면 3
 
5.7%

Length

2023-12-12T13:07:31.472600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:07:31.678813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남해읍 12
22.6%
삼동면 7
13.2%
이동면 6
11.3%
서면 5
9.4%
창선면 5
9.4%
미조면 4
 
7.5%
남면 4
 
7.5%
고현면 4
 
7.5%
상주면 3
 
5.7%
설천면 3
 
5.7%

게시면수
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.1698113
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-12T13:07:31.842370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median5
Q36
95-th percentile12
Maximum15
Range14
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.2447345
Coefficient of variation (CV)0.62763112
Kurtosis1.9853719
Mean5.1698113
Median Absolute Deviation (MAD)1
Skewness1.3512843
Sum274
Variance10.528302
MonotonicityNot monotonic
2023-12-12T13:07:31.988055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
6 15
28.3%
2 15
28.3%
5 11
20.8%
10 3
 
5.7%
15 2
 
3.8%
4 2
 
3.8%
12 2
 
3.8%
3 2
 
3.8%
1 1
 
1.9%
ValueCountFrequency (%)
1 1
 
1.9%
2 15
28.3%
3 2
 
3.8%
4 2
 
3.8%
5 11
20.8%
6 15
28.3%
10 3
 
5.7%
12 2
 
3.8%
15 2
 
3.8%
ValueCountFrequency (%)
15 2
 
3.8%
12 2
 
3.8%
10 3
 
5.7%
6 15
28.3%
5 11
20.8%
4 2
 
3.8%
3 2
 
3.8%
2 15
28.3%
1 1
 
1.9%

설치장소
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-12T13:07:32.286837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length11.622642
Min length5

Characters and Unicode

Total characters616
Distinct characters121
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

Unique53 ?
Unique (%)100.0%

Sample

1st row공용터미널 맞은편(2식)
2nd row한우프라자 맞은편(2식)
3rd row한우프라자 맞은편(1식)
4th row남해병원 앞(3식)
5th row보건소 내
ValueCountFrequency (%)
12
 
9.4%
1식 9
 
7.1%
앞(저단형 6
 
4.7%
2식 6
 
4.7%
옆(저단형 3
 
2.4%
3
 
2.4%
입구 3
 
2.4%
미조면 2
 
1.6%
설천중학교 2
 
1.6%
입구(저단형 2
 
1.6%
Other values (66) 79
62.2%
2023-12-12T13:07:32.717884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
75
 
12.2%
( 45
 
7.3%
) 45
 
7.3%
24
 
3.9%
23
 
3.7%
20
 
3.2%
18
 
2.9%
18
 
2.9%
13
 
2.1%
12
 
1.9%
Other values (111) 323
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 427
69.3%
Space Separator 75
 
12.2%
Open Punctuation 45
 
7.3%
Close Punctuation 45
 
7.3%
Decimal Number 24
 
3.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
24
 
5.6%
23
 
5.4%
20
 
4.7%
18
 
4.2%
18
 
4.2%
13
 
3.0%
12
 
2.8%
11
 
2.6%
10
 
2.3%
10
 
2.3%
Other values (105) 268
62.8%
Decimal Number
ValueCountFrequency (%)
1 10
41.7%
2 10
41.7%
3 4
 
16.7%
Space Separator
ValueCountFrequency (%)
75
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 427
69.3%
Common 189
30.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
24
 
5.6%
23
 
5.4%
20
 
4.7%
18
 
4.2%
18
 
4.2%
13
 
3.0%
12
 
2.8%
11
 
2.6%
10
 
2.3%
10
 
2.3%
Other values (105) 268
62.8%
Common
ValueCountFrequency (%)
75
39.7%
( 45
23.8%
) 45
23.8%
1 10
 
5.3%
2 10
 
5.3%
3 4
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 427
69.3%
ASCII 189
30.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
75
39.7%
( 45
23.8%
) 45
23.8%
1 10
 
5.3%
2 10
 
5.3%
3 4
 
2.1%
Hangul
ValueCountFrequency (%)
24
 
5.6%
23
 
5.4%
20
 
4.7%
18
 
4.2%
18
 
4.2%
13
 
3.0%
12
 
2.8%
11
 
2.6%
10
 
2.3%
10
 
2.3%
Other values (105) 268
62.8%

주소
Text

Distinct48
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-12T13:07:32.998896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length22.358491
Min length19

Characters and Unicode

Total characters1185
Distinct characters70
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

Unique43 ?
Unique (%)81.1%

Sample

1st row경상남도 남해군 남해읍 북변리 430
2nd row경상남도 남해군 남해읍 평리 1241-3
3rd row경상남도 남해군 남해읍 평리 1241-3
4th row경상남도 남해군 남해읍 차산리 786-7
5th row경상남도 남해군 남해읍 차산리 645-1
ValueCountFrequency (%)
경상남도 53
20.0%
남해군 53
20.0%
남해읍 13
 
4.9%
삼동면 7
 
2.6%
이동면 6
 
2.3%
서면 5
 
1.9%
지족리 4
 
1.5%
미조면 4
 
1.5%
고현면 4
 
1.5%
창선면 4
 
1.5%
Other values (82) 112
42.3%
2023-12-12T13:07:33.430426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
246
20.8%
125
 
10.5%
66
 
5.6%
64
 
5.4%
53
 
4.5%
53
 
4.5%
53
 
4.5%
52
 
4.4%
1 48
 
4.1%
41
 
3.5%
Other values (60) 384
32.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 686
57.9%
Space Separator 246
 
20.8%
Decimal Number 215
 
18.1%
Dash Punctuation 38
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
125
18.2%
66
9.6%
64
9.3%
53
 
7.7%
53
 
7.7%
53
 
7.7%
52
 
7.6%
41
 
6.0%
15
 
2.2%
13
 
1.9%
Other values (48) 151
22.0%
Decimal Number
ValueCountFrequency (%)
1 48
22.3%
4 29
13.5%
2 28
13.0%
0 25
11.6%
7 20
9.3%
5 18
 
8.4%
8 15
 
7.0%
3 14
 
6.5%
6 11
 
5.1%
9 7
 
3.3%
Space Separator
ValueCountFrequency (%)
246
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 686
57.9%
Common 499
42.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
125
18.2%
66
9.6%
64
9.3%
53
 
7.7%
53
 
7.7%
53
 
7.7%
52
 
7.6%
41
 
6.0%
15
 
2.2%
13
 
1.9%
Other values (48) 151
22.0%
Common
ValueCountFrequency (%)
246
49.3%
1 48
 
9.6%
- 38
 
7.6%
4 29
 
5.8%
2 28
 
5.6%
0 25
 
5.0%
7 20
 
4.0%
5 18
 
3.6%
8 15
 
3.0%
3 14
 
2.8%
Other values (2) 18
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 686
57.9%
ASCII 499
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
246
49.3%
1 48
 
9.6%
- 38
 
7.6%
4 29
 
5.8%
2 28
 
5.6%
0 25
 
5.0%
7 20
 
4.0%
5 18
 
3.6%
8 15
 
3.0%
3 14
 
2.8%
Other values (2) 18
 
3.6%
Hangul
ValueCountFrequency (%)
125
18.2%
66
9.6%
64
9.3%
53
 
7.7%
53
 
7.7%
53
 
7.7%
52
 
7.6%
41
 
6.0%
15
 
2.2%
13
 
1.9%
Other values (48) 151
22.0%

현수막규격(미터)
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Memory size556.0 B
5.8×0.7
17 
5.8×0.9
10 
5×0.7
6.0×0.7
6.0×0.9
Other values (3)

Length

Max length7
Median length7
Mean length6.6603774
Min length5

Unique

Unique2 ?
Unique (%)3.8%

Sample

1st row5.8×0.9
2nd row5.8×0.9
3rd row5.8×0.7
4th row5.8×0.9
5th row5.8×0.9

Common Values

ValueCountFrequency (%)
5.8×0.7 17
32.1%
5.8×0.9 10
18.9%
5×0.7 8
15.1%
6.0×0.7 7
13.2%
6.0×0.9 6
 
11.3%
5.5×0.9 3
 
5.7%
5×0.6 1
 
1.9%
5.8x0.9 1
 
1.9%

Length

2023-12-12T13:07:33.568558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:07:33.722749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.8×0.7 17
32.1%
5.8×0.9 10
18.9%
5×0.7 8
15.1%
6.0×0.7 7
13.2%
6.0×0.9 6
 
11.3%
5.5×0.9 3
 
5.7%
5×0.6 1
 
1.9%
5.8x0.9 1
 
1.9%

종류
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Memory size556.0 B
자동
18 
접철식
15 
저단형 2단
10 
저단형 1단
접철식2
 
1

Length

Max length6
Median length4
Mean length3.6981132
Min length2

Unique

Unique2 ?
Unique (%)3.8%

Sample

1st row접철식
2nd row접철식2
3rd row자동1
4th row접철식
5th row접철식

Common Values

ValueCountFrequency (%)
자동 18
34.0%
접철식 15
28.3%
저단형 2단 10
18.9%
저단형 1단 8
15.1%
접철식2 1
 
1.9%
자동1 1
 
1.9%

Length

2023-12-12T13:07:33.883313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:07:34.017829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자동 18
25.4%
저단형 18
25.4%
접철식 15
21.1%
2단 10
14.1%
1단 8
11.3%
접철식2 1
 
1.4%
자동1 1
 
1.4%

비고
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
상업용
34 
정치&행정용
10 
행정용

Length

Max length6
Median length3
Mean length3.5660377
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상업용 34
64.2%
정치&행정용 10
 
18.9%
행정용 9
 
17.0%

Length

2023-12-12T13:07:34.148764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:07:34.251912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상업용 34
64.2%
정치&행정용 10
 
18.9%
행정용 9
 
17.0%

Interactions

2023-12-12T13:07:30.545753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:07:34.326227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치읍면게시면수설치장소주소현수막규격(미터)종류비고
설치읍면1.0000.0001.0001.0000.0000.0000.000
게시면수0.0001.0001.0000.0000.7540.7690.759
설치장소1.0001.0001.0001.0001.0001.0001.000
주소1.0000.0001.0001.0000.0000.0000.489
현수막규격(미터)0.0000.7541.0000.0001.0000.8090.869
종류0.0000.7691.0000.0000.8091.0000.995
비고0.0000.7591.0000.4890.8690.9951.000
2023-12-12T13:07:34.430571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종류현수막규격(미터)비고설치읍면
종류1.0000.6080.8820.000
현수막규격(미터)0.6081.0000.7890.000
비고0.8820.7891.0000.000
설치읍면0.0000.0000.0001.000
2023-12-12T13:07:34.527648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
게시면수설치읍면현수막규격(미터)종류비고
게시면수1.0000.0000.5260.5870.664
설치읍면0.0001.0000.0000.0000.000
현수막규격(미터)0.5260.0001.0000.6080.789
종류0.5870.0000.6081.0000.882
비고0.6640.0000.7890.8821.000

Missing values

2023-12-12T13:07:31.103510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:07:31.306298image/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.

Sample

설치읍면게시면수설치장소주소현수막규격(미터)종류비고
0남해읍10공용터미널 맞은편(2식)경상남도 남해군 남해읍 북변리 4305.8×0.9접철식상업용
1남해읍10한우프라자 맞은편(2식)경상남도 남해군 남해읍 평리 1241-35.8×0.9접철식2상업용
2남해읍6한우프라자 맞은편(1식)경상남도 남해군 남해읍 평리 1241-35.8×0.7자동1상업용
3남해읍15남해병원 앞(3식)경상남도 남해군 남해읍 차산리 786-75.8×0.9접철식상업용
4남해읍5보건소 내경상남도 남해군 남해읍 차산리 645-15.8×0.9접철식상업용
5남해읍5실내체육관 앞경상남도 남해군 남해읍 서변리 2045.8×0.9접철식상업용
6남해읍6노인복지관앞경상남도 남해군 남해읍 아산리 408-35.8×0.7자동상업용
7남해읍6유배문학관 앞경상남도 남해군 남해읍 남변리 5556.0×0.7자동상업용
8남해읍4공용터미널 맞은편(저단형) (2식)경상남도 남해군 남해읍 북변리 4305×0.6저단형 2단행정용
9남해읍2남해대학 굴다리앞(저단형) (2식)경상남도 남해군 남해읍 북변리 362-105×0.7저단형 1단행정용
설치읍면게시면수설치장소주소현수막규격(미터)종류비고
43고현면12농공단지 앞 교차로경상남도 남해군 고현면 오곡리 196-186.0×0.7자동상업용
44고현면2정보고등학교 앞(저단형) (1식)경상남도 남해군 고현면 탑동로 475.8×0.7저단형 2단정치&행정용
45설천면6설천중학교 앞 (우)경상남도 남해군 설천면 금음리 790-26.0×0.7자동상업용
46설천면5설천중학교 앞 (좌)경상남도 남해군 설천면 금음리 790-25.8×0.9접철식상업용
47설천면2월곡마을 버스 정류장 옆(저단형) (1식)경상남도 남해군 설천면 덕신리 1380-25.8×0.7저단형 2단정치&행정용
48창선면5창선면 축협 옆경상남도 남해군 창선면 수산리 188-46.0×0.9접철식상업용
49창선면10단항 로타리(2식)경상남도 남해군 창선면 대벽리 100-46.0×0.9접철식상업용
50창선면6창선면 행정복지센터 내부경상남도 남해군 창선면 상죽리 137-15.5×0.9자동상업용
51창선면6지족삼거리경상남도 남해군 창선면 지족리 281-15.8×0.7자동상업용
52창선면2닺어리 교차로(저단형) (1식)경상남도 남해군 창선면당저리 118-35.8×0.7저단형 2단정치&행정용