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
Categorical3
Numeric3

Dataset

Description서산시 관내 마을회관 및 경로당 현황에 대한 데이터로, 마을회관과 경로당의 명칭, 면적 주소 및 전화번호 등의 항목을 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=451&beforeMenuCd=DOM_000000201001001000&publicdatapk=15000592

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 started2024-01-09 20:27:51.012107
Analysis finished2024-01-09 20:27:52.774448
Duration1.76 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

명칭
Text

Distinct391
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-01-10T05:27:52.921507image/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%
2024-01-10T05:27:53.240066image/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

2024-01-10T05:27:53.366253image/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
2024-01-10T05:27:53.637352image/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%
2024-01-10T05:27:54.038405image/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

2024-01-10T05:27:54.177978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:27:54.285137image/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
2024-01-10T05:27:54.393146image/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
2024-01-10T05:27:54.522607image/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
2024-01-10T05:27:54.837184image/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%
2024-01-10T05:27:55.328741image/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
2024-01-10T05:27:55.510804image/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
2024-01-10T05:27:55.712546image/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
2024-01-10T05:27:55.914075image/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
2024-01-10T05:27:56.100607image/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
2024-01-10T05:27:56.381503image/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%
2024-01-10T05:27:56.744878image/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
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2021-10-27
394 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-10-27
2nd row2021-10-27
3rd row2021-10-27
4th row2021-10-27
5th row2021-10-27

Common Values

ValueCountFrequency (%)
2021-10-27 394
100.0%

Length

2024-01-10T05:27:56.880801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:27:56.972918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-10-27 394
100.0%

Interactions

2024-01-10T05:27:52.014670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:27:51.440920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:27:51.717061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:27:52.111105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:27:51.529418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:27:51.816637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:27:52.201755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:27:51.614871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:27:51.914538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:27:57.037771image/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
2024-01-10T05:27:57.128610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동용도
읍면동1.0000.199
용도0.1991.000
2024-01-10T05:27:57.209616image/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

2024-01-10T05:27:52.595531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:27:52.721171image/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