Overview

Dataset statistics

Number of variables10
Number of observations394
Missing cells32
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.1 KiB
Average record size in memory83.3 B

Variable types

Text4
Categorical2
Numeric3
DateTime1

Dataset

Description서산시 관내 마을회관 및 경로당 현황에 대한 데이터로, 마을회관과 경로당의 명칭, 면적 주소 및 전화번호 등의 항목을 제공합니다.
Author충청남도 서산시
URLhttps://www.data.go.kr/data/15000592/fileData.do

Alerts

데이터기준일 has constant value ""Constant
경도(WGS84좌표) is highly overall correlated with 읍면동High correlation
위도(WGS84좌표) is highly overall correlated with 읍면동High correlation
읍면동 is highly overall correlated with 경도(WGS84좌표) and 1 other fieldsHigh correlation
연락처 has 32 (8.1%) missing valuesMissing

Reproduction

Analysis started2023-12-12 13:56:18.273716
Analysis finished2023-12-12 13:56:20.405111
Duration2.13 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

명칭
Text

Distinct391
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-12T22:56:20.566760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length11.340102
Min length3

Characters and Unicode

Total characters4468
Distinct characters192
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

Unique388 ?
Unique (%)98.5%

Sample

1st row휴먼시아경로당
2nd row대산1리마을회관(경로당)
3rd row대산2리마을회관(경로당)
4th row대산3리마을회관(경로당)
5th row삼호APT경로당
ValueCountFrequency (%)
수현마을회관(경로당 2
 
0.5%
화곡1리경로당 2
 
0.5%
경로당 2
 
0.5%
마을회관 2
 
0.5%
사양마을회관(경로당 2
 
0.5%
기지1리마을회관(경로당 1
 
0.3%
장요1리마을회관(경로당 1
 
0.3%
신송2리마을회관(경로당 1
 
0.3%
신송1리마을회관(경로당 1
 
0.3%
가구2리마을회관(경로당 1
 
0.3%
Other values (384) 384
96.2%
2023-12-12T22:56:20.991897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
당 386
 
8.6%
로 374
 
8.4%
경 373
 
8.3%
마 318
 
7.1%
을 313
 
7.0%
회 312
 
7.0%
관 311
 
7.0%
( 291
 
6.5%
) 291
 
6.5%
리 217
 
4.9%
Other values (182) 1282
28.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3567
79.8%
Decimal Number 300
 
6.7%
Open Punctuation 291
 
6.5%
Close Punctuation 291
 
6.5%
Other Punctuation 8
 
0.2%
Uppercase Letter 6
 
0.1%
Space Separator 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 386
10.8%
로 374
10.5%
경 373
10.5%
마 318
 
8.9%
을 313
 
8.8%
회 312
 
8.7%
관 311
 
8.7%
리 217
 
6.1%
통 76
 
2.1%
동 43
 
1.2%
Other values (165) 844
23.7%
Decimal Number
ValueCountFrequency (%)
1 104
34.7%
2 87
29.0%
3 50
16.7%
4 24
 
8.0%
5 12
 
4.0%
6 11
 
3.7%
7 6
 
2.0%
8 4
 
1.3%
0 1
 
0.3%
9 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
T 2
33.3%
P 2
33.3%
A 2
33.3%
Open Punctuation
ValueCountFrequency (%)
( 291
100.0%
Close Punctuation
ValueCountFrequency (%)
) 291
100.0%
Other Punctuation
ValueCountFrequency (%)
. 8
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3567
79.8%
Common 895
 
20.0%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 386
10.8%
로 374
10.5%
경 373
10.5%
마 318
 
8.9%
을 313
 
8.8%
회 312
 
8.7%
관 311
 
8.7%
리 217
 
6.1%
통 76
 
2.1%
동 43
 
1.2%
Other values (165) 844
23.7%
Common
ValueCountFrequency (%)
( 291
32.5%
) 291
32.5%
1 104
 
11.6%
2 87
 
9.7%
3 50
 
5.6%
4 24
 
2.7%
5 12
 
1.3%
6 11
 
1.2%
. 8
 
0.9%
7 6
 
0.7%
Other values (4) 11
 
1.2%
Latin
ValueCountFrequency (%)
T 2
33.3%
P 2
33.3%
A 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3567
79.8%
ASCII 901
 
20.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
당 386
10.8%
로 374
10.5%
경 373
10.5%
마 318
 
8.9%
을 313
 
8.8%
회 312
 
8.7%
관 311
 
8.7%
리 217
 
6.1%
통 76
 
2.1%
동 43
 
1.2%
Other values (165) 844
23.7%
ASCII
ValueCountFrequency (%)
( 291
32.3%
) 291
32.3%
1 104
 
11.5%
2 87
 
9.7%
3 50
 
5.5%
4 24
 
2.7%
5 12
 
1.3%
6 11
 
1.2%
. 8
 
0.9%
7 6
 
0.7%
Other values (7) 17
 
1.9%

읍면동
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
부석면
37 
대산읍
35 
운산면
35 
음암면
34 
고북면
32 
Other values (10)
221 

Length

Max length4
Median length3
Mean length3.0837563
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부석면 37
9.4%
대산읍 35
 
8.9%
운산면 35
 
8.9%
음암면 34
 
8.6%
고북면 32
 
8.1%
해미면 29
 
7.4%
지곡면 28
 
7.1%
석남동 27
 
6.9%
인지면 24
 
6.1%
팔봉면 22
 
5.6%
Other values (5) 91
23.1%

Length

2023-12-12T22:56:21.137237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부석면 37
9.4%
대산읍 35
 
8.9%
운산면 35
 
8.9%
음암면 34
 
8.6%
고북면 32
 
8.1%
해미면 29
 
7.4%
지곡면 28
 
7.1%
석남동 27
 
6.9%
인지면 24
 
6.1%
팔봉면 22
 
5.6%
Other values (5) 91
23.1%

리,통
Text

Distinct351
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-12T22:56:21.467081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length4
Mean length4.0431472
Min length2

Characters and Unicode

Total characters1593
Distinct characters141
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

Unique311 ?
Unique (%)78.9%

Sample

1st row대산1리
2nd row대산1리
3rd row대산2리
4th row대산3리
5th row대산3리
ValueCountFrequency (%)
남정2리 3
 
0.8%
고풍리 3
 
0.8%
도당4리 3
 
0.8%
대산1리 2
 
0.5%
온석동 2
 
0.5%
마룡리 2
 
0.5%
부산2리 2
 
0.5%
남정1리 2
 
0.5%
석림1통 2
 
0.5%
가사1리 2
 
0.5%
Other values (341) 371
94.2%
2023-12-12T22:56:21.980851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 297
18.6%
1 129
 
8.1%
2 126
 
7.9%
통 89
 
5.6%
3 72
 
4.5%
산 38
 
2.4%
4 35
 
2.2%
동 34
 
2.1%
문 29
 
1.8%
대 26
 
1.6%
Other values (131) 718
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1177
73.9%
Decimal Number 404
 
25.4%
Other Punctuation 12
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 297
25.2%
통 89
 
7.6%
산 38
 
3.2%
동 34
 
2.9%
문 29
 
2.5%
대 26
 
2.2%
성 26
 
2.2%
석 25
 
2.1%
장 24
 
2.0%
당 21
 
1.8%
Other values (119) 568
48.3%
Decimal Number
ValueCountFrequency (%)
1 129
31.9%
2 126
31.2%
3 72
17.8%
4 35
 
8.7%
5 15
 
3.7%
6 14
 
3.5%
7 7
 
1.7%
8 4
 
1.0%
9 1
 
0.2%
0 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
. 7
58.3%
, 5
41.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1177
73.9%
Common 416
 
26.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 297
25.2%
통 89
 
7.6%
산 38
 
3.2%
동 34
 
2.9%
문 29
 
2.5%
대 26
 
2.2%
성 26
 
2.2%
석 25
 
2.1%
장 24
 
2.0%
당 21
 
1.8%
Other values (119) 568
48.3%
Common
ValueCountFrequency (%)
1 129
31.0%
2 126
30.3%
3 72
17.3%
4 35
 
8.4%
5 15
 
3.6%
6 14
 
3.4%
. 7
 
1.7%
7 7
 
1.7%
, 5
 
1.2%
8 4
 
1.0%
Other values (2) 2
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1177
73.9%
ASCII 416
 
26.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 297
25.2%
통 89
 
7.6%
산 38
 
3.2%
동 34
 
2.9%
문 29
 
2.5%
대 26
 
2.2%
성 26
 
2.2%
석 25
 
2.1%
장 24
 
2.0%
당 21
 
1.8%
Other values (119) 568
48.3%
ASCII
ValueCountFrequency (%)
1 129
31.0%
2 126
30.3%
3 72
17.3%
4 35
 
8.4%
5 15
 
3.6%
6 14
 
3.4%
. 7
 
1.7%
7 7
 
1.7%
, 5
 
1.2%
8 4
 
1.0%
Other values (2) 2
 
0.5%

용도
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
마을회관,경로당 겸용
292 
경로당
81 
마을회관
 
20
경로당(남)
 
1

Length

Max length11
Median length11
Mean length8.9873096
Min length3

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row경로당
2nd row마을회관,경로당 겸용
3rd row마을회관,경로당 겸용
4th row마을회관,경로당 겸용
5th row경로당

Common Values

ValueCountFrequency (%)
마을회관,경로당 겸용 292
74.1%
경로당 81
 
20.6%
마을회관 20
 
5.1%
경로당(남) 1
 
0.3%

Length

2023-12-12T22:56:22.157958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:56:22.287136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
마을회관,경로당 292
42.6%
겸용 292
42.6%
경로당 81
 
11.8%
마을회관 20
 
2.9%
경로당(남 1
 
0.1%

면적
Real number (ℝ)

Distinct346
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.28451
Minimum15.61
Maximum577.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-12T22:56:22.406177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15.61
5-th percentile66
Q199.825
median126.18
Q3169.9025
95-th percentile246.0005
Maximum577.83
Range562.22
Interquartile range (IQR)70.0775

Descriptive statistics

Standard deviation61.221421
Coefficient of variation (CV)0.43954222
Kurtosis7.7034965
Mean139.28451
Median Absolute Deviation (MAD)30.135
Skewness1.8705936
Sum54878.095
Variance3748.0623
MonotonicityNot monotonic
2023-12-12T22:56:22.550198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66.0 6
 
1.5%
103.46 4
 
1.0%
99.0 4
 
1.0%
100.0 4
 
1.0%
122.58 3
 
0.8%
99.6 3
 
0.8%
103.02 3
 
0.8%
109.04 3
 
0.8%
98.0 3
 
0.8%
228.82 3
 
0.8%
Other values (336) 358
90.9%
ValueCountFrequency (%)
15.61 1
0.3%
33.0 1
0.3%
37.5 1
0.3%
39.6 1
0.3%
40.5 1
0.3%
42.9 1
0.3%
46.2 1
0.3%
49.52 1
0.3%
49.6 1
0.3%
49.8 1
0.3%
ValueCountFrequency (%)
577.83 1
0.3%
412.04 1
0.3%
350.0 1
0.3%
334.11 1
0.3%
332.82 1
0.3%
331.32 1
0.3%
321.7 1
0.3%
315.07 1
0.3%
311.6 1
0.3%
278.14 1
0.3%

도로명주소
Text

Distinct390
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-12T22:56:22.889260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length33
Mean length22.357868
Min length16

Characters and Unicode

Total characters8809
Distinct characters254
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

Unique386 ?
Unique (%)98.0%

Sample

1st row충청남도 서산시 대산읍 망일산로 834-6
2nd row충청남도 서산시 대산읍 구진로 50-5
3rd row충청남도 서산시 대산읍 대산2길 57-1
4th row충청남도 서산시 대산읍 가로림로 73-6
5th row충청남도 서산시 대산읍 충의로 2061, 삼호아파트
ValueCountFrequency (%)
충청남도 394
19.7%
서산시 394
19.7%
부석면 37
 
1.8%
대산읍 35
 
1.8%
운산면 35
 
1.8%
음암면 34
 
1.7%
고북면 32
 
1.6%
해미면 29
 
1.5%
지곡면 28
 
1.4%
인지면 24
 
1.2%
Other values (666) 958
47.9%
2023-12-12T22:56:23.399693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1607
18.2%
산 497
 
5.6%
남 414
 
4.7%
서 412
 
4.7%
도 409
 
4.6%
시 400
 
4.5%
충 399
 
4.5%
청 397
 
4.5%
1 333
 
3.8%
면 263
 
3.0%
Other values (244) 3678
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5536
62.8%
Space Separator 1607
 
18.2%
Decimal Number 1295
 
14.7%
Dash Punctuation 118
 
1.3%
Open Punctuation 87
 
1.0%
Close Punctuation 87
 
1.0%
Other Punctuation 48
 
0.5%
Uppercase Letter 31
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 497
 
9.0%
남 414
 
7.5%
서 412
 
7.4%
도 409
 
7.4%
시 400
 
7.2%
충 399
 
7.2%
청 397
 
7.2%
면 263
 
4.8%
길 234
 
4.2%
동 163
 
2.9%
Other values (228) 1948
35.2%
Decimal Number
ValueCountFrequency (%)
1 333
25.7%
2 204
15.8%
3 143
11.0%
4 115
 
8.9%
8 95
 
7.3%
6 89
 
6.9%
5 87
 
6.7%
7 82
 
6.3%
9 74
 
5.7%
0 73
 
5.6%
Space Separator
ValueCountFrequency (%)
1607
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 118
100.0%
Open Punctuation
ValueCountFrequency (%)
( 87
100.0%
Close Punctuation
ValueCountFrequency (%)
) 87
100.0%
Other Punctuation
ValueCountFrequency (%)
, 48
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5536
62.8%
Common 3242
36.8%
Latin 31
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 497
 
9.0%
남 414
 
7.5%
서 412
 
7.4%
도 409
 
7.4%
시 400
 
7.2%
충 399
 
7.2%
청 397
 
7.2%
면 263
 
4.8%
길 234
 
4.2%
동 163
 
2.9%
Other values (228) 1948
35.2%
Common
ValueCountFrequency (%)
1607
49.6%
1 333
 
10.3%
2 204
 
6.3%
3 143
 
4.4%
- 118
 
3.6%
4 115
 
3.5%
8 95
 
2.9%
6 89
 
2.7%
( 87
 
2.7%
) 87
 
2.7%
Other values (5) 364
 
11.2%
Latin
ValueCountFrequency (%)
A 31
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5536
62.8%
ASCII 3273
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1607
49.1%
1 333
 
10.2%
2 204
 
6.2%
3 143
 
4.4%
- 118
 
3.6%
4 115
 
3.5%
8 95
 
2.9%
6 89
 
2.7%
( 87
 
2.7%
) 87
 
2.7%
Other values (6) 395
 
12.1%
Hangul
ValueCountFrequency (%)
산 497
 
9.0%
남 414
 
7.5%
서 412
 
7.4%
도 409
 
7.4%
시 400
 
7.2%
충 399
 
7.2%
청 397
 
7.2%
면 263
 
4.8%
길 234
 
4.2%
동 163
 
2.9%
Other values (228) 1948
35.2%

경도(WGS84좌표)
Real number (ℝ)

HIGH CORRELATION 

Distinct390
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.46614
Minimum126.32812
Maximum126.65241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-12T22:56:23.522255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.32812
5-th percentile126.36753
Q1126.42081
median126.45634
Q3126.5145
95-th percentile126.5798
Maximum126.65241
Range0.3242919
Interquartile range (IQR)0.09369255

Descriptive statistics

Standard deviation0.066440775
Coefficient of variation (CV)0.00052536416
Kurtosis-0.27604159
Mean126.46614
Median Absolute Deviation (MAD)0.04647765
Skewness0.38895891
Sum49827.658
Variance0.0044143765
MonotonicityNot monotonic
2023-12-12T22:56:23.644738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.4461262 2
 
0.5%
126.4575087 2
 
0.5%
126.4278431 2
 
0.5%
126.4634477 2
 
0.5%
126.4379264 1
 
0.3%
126.540449 1
 
0.3%
126.5371445 1
 
0.3%
126.562041 1
 
0.3%
126.5374616 1
 
0.3%
126.5229541 1
 
0.3%
Other values (380) 380
96.4%
ValueCountFrequency (%)
126.328119 1
0.3%
126.3326205 1
0.3%
126.335475 1
0.3%
126.3378334 1
0.3%
126.3394643 1
0.3%
126.3436061 1
0.3%
126.349173 1
0.3%
126.3499724 1
0.3%
126.351953 1
0.3%
126.352694 1
0.3%
ValueCountFrequency (%)
126.6524109 1
0.3%
126.644624 1
0.3%
126.6429849 1
0.3%
126.6363844 1
0.3%
126.6308192 1
0.3%
126.6292268 1
0.3%
126.6284605 1
0.3%
126.6279917 1
0.3%
126.6267687 1
0.3%
126.6148149 1
0.3%

위도(WGS84좌표)
Real number (ℝ)

HIGH CORRELATION 

Distinct390
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.787372
Minimum36.610281
Maximum37.001079
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-12T22:56:23.793732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.610281
5-th percentile36.666282
Q136.741359
median36.780138
Q336.81939
95-th percentile36.949843
Maximum37.001079
Range0.390798
Interquartile range (IQR)0.078030825

Descriptive statistics

Standard deviation0.07745669
Coefficient of variation (CV)0.0021055238
Kurtosis0.38238479
Mean36.787372
Median Absolute Deviation (MAD)0.03923865
Skewness0.65887226
Sum14494.225
Variance0.0059995388
MonotonicityNot monotonic
2023-12-12T22:56:23.941741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.9013825 2
 
0.5%
36.780656 2
 
0.5%
36.9902779 2
 
0.5%
36.7723606 2
 
0.5%
36.9417396 1
 
0.3%
36.6797067 1
 
0.3%
36.6628859 1
 
0.3%
36.7043352 1
 
0.3%
36.7101788 1
 
0.3%
36.7055353 1
 
0.3%
Other values (380) 380
96.4%
ValueCountFrequency (%)
36.6102808 1
0.3%
36.6367326 1
0.3%
36.6418818 1
0.3%
36.6464582 1
0.3%
36.64833 1
0.3%
36.6496533 1
0.3%
36.6498416 1
0.3%
36.6522349 1
0.3%
36.6538213 1
0.3%
36.6564728 1
0.3%
ValueCountFrequency (%)
37.0010788 1
0.3%
36.991633 1
0.3%
36.9902779 2
0.5%
36.9891825 1
0.3%
36.9884849 1
0.3%
36.9870268 1
0.3%
36.9851159 1
0.3%
36.982886 1
0.3%
36.9710214 1
0.3%
36.9694366 1
0.3%

연락처
Text

MISSING 

Distinct354
Distinct (%)97.8%
Missing32
Missing (%)8.1%
Memory size3.2 KiB
2023-12-12T22:56:24.157835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.002762
Min length11

Characters and Unicode

Total characters4345
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique346 ?
Unique (%)95.6%

Sample

1st row041-663-8250
2nd row041-681-4901
3rd row041-681-5005
4th row041-663-8740
5th row041-681-4842
ValueCountFrequency (%)
041-664-6488 2
 
0.6%
041-663-7160 2
 
0.6%
041-688-8443 2
 
0.6%
041-663-3738 2
 
0.6%
041-664-8798 2
 
0.6%
041-688-8690 2
 
0.6%
041-681-5581 2
 
0.6%
041-663-9917 2
 
0.6%
041-664-2665 1
 
0.3%
041-664-6647 1
 
0.3%
Other values (344) 344
95.0%
2023-12-12T22:56:24.509744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 836
19.2%
- 724
16.7%
4 606
13.9%
0 528
12.2%
1 519
11.9%
8 225
 
5.2%
3 194
 
4.5%
7 192
 
4.4%
9 191
 
4.4%
2 168
 
3.9%
Other values (2) 162
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3620
83.3%
Dash Punctuation 724
 
16.7%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 836
23.1%
4 606
16.7%
0 528
14.6%
1 519
14.3%
8 225
 
6.2%
3 194
 
5.4%
7 192
 
5.3%
9 191
 
5.3%
2 168
 
4.6%
5 161
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 724
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4345
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 836
19.2%
- 724
16.7%
4 606
13.9%
0 528
12.2%
1 519
11.9%
8 225
 
5.2%
3 194
 
4.5%
7 192
 
4.4%
9 191
 
4.4%
2 168
 
3.9%
Other values (2) 162
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4345
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 836
19.2%
- 724
16.7%
4 606
13.9%
0 528
12.2%
1 519
11.9%
8 225
 
5.2%
3 194
 
4.5%
7 192
 
4.4%
9 191
 
4.4%
2 168
 
3.9%
Other values (2) 162
 
3.7%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum2021-10-27 00:00:00
Maximum2021-10-27 00:00:00
2023-12-12T22:56:24.648692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:56:24.765004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T22:56:19.807028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:56:18.843397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:56:19.462189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:56:19.920158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:56:19.225514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:56:19.552722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:56:20.021110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:56:19.339586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:56:19.652932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:56:24.851067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동용도면적경도(WGS84좌표)위도(WGS84좌표)
읍면동1.0000.3450.3300.8610.884
용도0.3451.0000.4480.1790.266
면적0.3300.4481.0000.2410.105
경도(WGS84좌표)0.8610.1790.2411.0000.536
위도(WGS84좌표)0.8840.2660.1050.5361.000
2023-12-12T22:56:24.947975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동용도
읍면동1.0000.199
용도0.1991.000
2023-12-12T22:56:25.014369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
면적경도(WGS84좌표)위도(WGS84좌표)읍면동용도
면적1.000-0.0630.0240.1460.212
경도(WGS84좌표)-0.0631.000-0.2470.5350.107
위도(WGS84좌표)0.024-0.2471.0000.5760.160
읍면동0.1460.5350.5761.0000.199
용도0.2120.1070.1600.1991.000

Missing values

2023-12-12T22:56:20.189509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:56:20.349968image/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

명칭읍면동리,통용도면적도로명주소경도(WGS84좌표)위도(WGS84좌표)연락처데이터기준일
0휴먼시아경로당대산읍대산1리경로당184.0충청남도 서산시 대산읍 망일산로 834-6126.43792636.94174041-663-82502021-10-27
1대산1리마을회관(경로당)대산읍대산1리마을회관,경로당 겸용264.0충청남도 서산시 대산읍 구진로 50-5126.43278836.939573041-681-49012021-10-27
2대산2리마을회관(경로당)대산읍대산2리마을회관,경로당 겸용46.2충청남도 서산시 대산읍 대산2길 57-1126.42730536.936327041-681-50052021-10-27
3대산3리마을회관(경로당)대산읍대산3리마을회관,경로당 겸용132.0충청남도 서산시 대산읍 가로림로 73-6126.42093436.943207041-663-87402021-10-27
4삼호APT경로당대산읍대산3리경로당109.78충청남도 서산시 대산읍 충의로 2061, 삼호아파트126.42621336.947158041-681-48422021-10-27
5대산4리마을회관(경로당)대산읍대산4리마을회관,경로당 겸용98.21충청남도 서산시 대산읍 대산4길 76126.43335736.947854041-663-49462021-10-27
6대산5리마을회관(경로당)대산읍대산5리마을회관,경로당 겸용171.66충청남도 서산시 대산읍 대산5길 10126.42676136.949732041-681-74672021-10-27
7대산6리마을회관(경로당)대산읍대산6리마을회관,경로당 겸용82.05충청남도 서산시 대산읍 관아지1길 11-9126.43673136.936202041-681-30732021-10-27
8대로1리마을회관(경로당)대산읍대로1리마을회관,경로당 겸용165.36충청남도 서산시 대산읍 가로림로 264126.40290236.946864041-663-33762021-10-27
9대로2리마을회관(경로당)대산읍대로2리마을회관,경로당 겸용135.65충청남도 서산시 대산읍 명지2로 183-14126.41094236.964326041-663-00472021-10-27
명칭읍면동리,통용도면적도로명주소경도(WGS84좌표)위도(WGS84좌표)연락처데이터기준일
384죽성2통마을회관(경로당)석남동죽성2통마을회관,경로당 겸용73.5충청남도 서산시 남부순환로 885(죽성동, 동아2차A)126.44948636.755922041-665-17442021-10-27
385죽성3통경로당석남동죽성3통경로당209.16충청남도 서산시 남부순환로 767, 죽성동삼성A (죽성동)126.44713536.745967041-667-11222021-10-27
386오남1통마을회관(경로당)석남동오남1통마을회관,경로당 겸용225.68충청남도 서산시 오남1길 130 (오남동)126.47199236.7476041-669-07352021-10-27
387오남2통마을회관(경로당)석남동오남2통마을회관,경로당 겸용194.09충청남도 서산시 오산5길 9 (오남동)126.47819836.750069041-665-04632021-10-27
388오남3통마을회관(경로당)석남동오남3통마을회관,경로당 겸용49.6충청남도 서산시 오산8길 17, 무림A (오남동)126.4713236.755112041-666-13552021-10-27
389오남4통마을회관(경로당)석남동오남4통마을회관,경로당 겸용139.39충청남도 서산시 오남동 162-2126.47899336.757684041-667-54112021-10-27
390장1통마을회관(경로당)석남동장1통마을회관,경로당 겸용274.16충청남도 서산시 장동1길 20 (장동)126.48641636.741062041-669-07362021-10-27
391장2통마을회관(경로당)석남동장2통마을회관,경로당 겸용231.4충청남도 서산시 낫머리길 130-6 (장동)126.47929336.738423041-666-17192021-10-27
392장3통마을회관(경로당)석남동장3통마을회관,경로당 겸용37.5충청남도 서산시 장동돌금길 31-43, 푸른솔A (장동)126.48866136.738972041-669-15122021-10-27
393덕지천동마을회관(경로당)석남동덕지천동마을회관,경로당 겸용150.6충청남도 서산시 덕지천1길 14 (덕지천동)126.49865536.734378041-669-07342021-10-27