Overview

Dataset statistics

Number of variables7
Number of observations342
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.5 KiB
Average record size in memory58.4 B

Variable types

Numeric2
Categorical2
Text2
DateTime1

Dataset

Description경상남도 사천시 마을회관 현황 정보입니다.(연번, 읍면동, 마을회관명, 주소, 면접(제곱미터), 준공연도)
URLhttps://www.data.go.kr/data/15114237/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 읍면동High correlation
읍면동 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:30:04.938034
Analysis finished2023-12-12 05:30:06.088674
Duration1.15 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct342
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean172.21345
Minimum1
Maximum343
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-12T14:30:06.159910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18.05
Q186.25
median172.5
Q3257.75
95-th percentile325.95
Maximum343
Range342
Interquartile range (IQR)171.5

Descriptive statistics

Standard deviation99.226147
Coefficient of variation (CV)0.57618117
Kurtosis-1.2003785
Mean172.21345
Median Absolute Deviation (MAD)86
Skewness-0.0053168394
Sum58897
Variance9845.8282
MonotonicityStrictly increasing
2023-12-12T14:30:06.339481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
228 1
 
0.3%
236 1
 
0.3%
235 1
 
0.3%
234 1
 
0.3%
233 1
 
0.3%
232 1
 
0.3%
231 1
 
0.3%
230 1
 
0.3%
229 1
 
0.3%
Other values (332) 332
97.1%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
343 1
0.3%
342 1
0.3%
341 1
0.3%
340 1
0.3%
339 1
0.3%
338 1
0.3%
337 1
0.3%
336 1
0.3%
335 1
0.3%
334 1
0.3%

읍면동
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
곤양면
35 
사천읍
34 
사남면
34 
정동면
33 
남양동
29 
Other values (9)
177 

Length

Max length4
Median length3
Mean length3.0350877
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
곤양면 35
10.2%
사천읍 34
9.9%
사남면 34
9.9%
정동면 33
9.6%
남양동 29
8.5%
곤명면 28
8.2%
용현면 25
7.3%
향촌동 23
 
6.7%
서포면 21
 
6.1%
동서동 19
 
5.6%
Other values (4) 61
17.8%

Length

2023-12-12T14:30:06.531321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
곤양면 35
10.2%
사천읍 34
9.9%
사남면 34
9.9%
정동면 33
9.6%
남양동 29
8.5%
곤명면 28
8.2%
용현면 25
7.3%
향촌동 23
 
6.7%
서포면 21
 
6.1%
동서동 19
 
5.6%
Other values (4) 61
17.8%
Distinct312
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-12T14:30:06.842151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length2
Mean length2.5116959
Min length2

Characters and Unicode

Total characters859
Distinct characters205
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

Unique286 ?
Unique (%)83.6%

Sample

1st row선인1리
2nd row선인2리
3rd row선인3리
4th row선인5리
5th row선인6리
ValueCountFrequency (%)
신기 4
 
1.2%
중앙 3
 
0.9%
대산 3
 
0.9%
사촌 2
 
0.6%
객방 2
 
0.6%
구미 2
 
0.6%
실안 2
 
0.6%
금곡 2
 
0.6%
서부 2
 
0.6%
수동 2
 
0.6%
Other values (302) 318
93.0%
2023-12-12T14:30:07.297362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44
 
5.1%
34
 
4.0%
23
 
2.7%
20
 
2.3%
17
 
2.0%
15
 
1.7%
14
 
1.6%
14
 
1.6%
14
 
1.6%
13
 
1.5%
Other values (195) 651
75.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 810
94.3%
Decimal Number 43
 
5.0%
Open Punctuation 3
 
0.3%
Close Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
44
 
5.4%
34
 
4.2%
23
 
2.8%
20
 
2.5%
17
 
2.1%
15
 
1.9%
14
 
1.7%
14
 
1.7%
14
 
1.7%
13
 
1.6%
Other values (186) 602
74.3%
Decimal Number
ValueCountFrequency (%)
2 12
27.9%
1 10
23.3%
5 7
16.3%
3 7
16.3%
6 4
 
9.3%
7 2
 
4.7%
8 1
 
2.3%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 810
94.3%
Common 49
 
5.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
44
 
5.4%
34
 
4.2%
23
 
2.8%
20
 
2.5%
17
 
2.1%
15
 
1.9%
14
 
1.7%
14
 
1.7%
14
 
1.7%
13
 
1.6%
Other values (186) 602
74.3%
Common
ValueCountFrequency (%)
2 12
24.5%
1 10
20.4%
5 7
14.3%
3 7
14.3%
6 4
 
8.2%
( 3
 
6.1%
) 3
 
6.1%
7 2
 
4.1%
8 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 810
94.3%
ASCII 49
 
5.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
44
 
5.4%
34
 
4.2%
23
 
2.8%
20
 
2.5%
17
 
2.1%
15
 
1.9%
14
 
1.7%
14
 
1.7%
14
 
1.7%
13
 
1.6%
Other values (186) 602
74.3%
ASCII
ValueCountFrequency (%)
2 12
24.5%
1 10
20.4%
5 7
14.3%
3 7
14.3%
6 4
 
8.2%
( 3
 
6.1%
) 3
 
6.1%
7 2
 
4.1%
8 1
 
2.0%

주소
Text

Distinct336
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-12T14:30:07.695318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length33
Mean length21.388889
Min length18

Characters and Unicode

Total characters7315
Distinct characters212
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

Unique330 ?
Unique (%)96.5%

Sample

1st row경상남도 사천시 사천읍 서재농청길 73-9, 2층
2nd row경상남도 사천시 사천읍 동구밖길 37-3, 2층
3rd row경상남도 사천시 사천읍 읍내로 98, 가동 4호(신진아파트)
4th row경상남도 사천시 사천읍 서당길 1-5(대경아파트)
5th row경상남도 사천시 사천읍 사천향교로 13(대경파미르)
ValueCountFrequency (%)
경상남도 342
20.6%
사천시 342
20.6%
곤양면 35
 
2.1%
사남면 34
 
2.1%
사천읍 34
 
2.1%
정동면 33
 
2.0%
곤명면 28
 
1.7%
용현면 25
 
1.5%
2층 24
 
1.4%
서포면 21
 
1.3%
Other values (563) 739
44.6%
2023-12-12T14:30:08.182893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1332
18.2%
425
 
5.8%
394
 
5.4%
389
 
5.3%
353
 
4.8%
349
 
4.8%
347
 
4.7%
344
 
4.7%
284
 
3.9%
1 234
 
3.2%
Other values (202) 2864
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4628
63.3%
Space Separator 1332
 
18.2%
Decimal Number 990
 
13.5%
Open Punctuation 126
 
1.7%
Close Punctuation 125
 
1.7%
Dash Punctuation 77
 
1.1%
Other Punctuation 30
 
0.4%
Math Symbol 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
425
 
9.2%
394
 
8.5%
389
 
8.4%
353
 
7.6%
349
 
7.5%
347
 
7.5%
344
 
7.4%
284
 
6.1%
229
 
4.9%
193
 
4.2%
Other values (186) 1321
28.5%
Decimal Number
ValueCountFrequency (%)
1 234
23.6%
2 179
18.1%
3 102
10.3%
4 79
 
8.0%
5 77
 
7.8%
6 75
 
7.6%
9 65
 
6.6%
8 65
 
6.6%
7 60
 
6.1%
0 54
 
5.5%
Space Separator
ValueCountFrequency (%)
1332
100.0%
Open Punctuation
ValueCountFrequency (%)
( 126
100.0%
Close Punctuation
ValueCountFrequency (%)
) 125
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 77
100.0%
Other Punctuation
ValueCountFrequency (%)
, 30
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4628
63.3%
Common 2687
36.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
425
 
9.2%
394
 
8.5%
389
 
8.4%
353
 
7.6%
349
 
7.5%
347
 
7.5%
344
 
7.4%
284
 
6.1%
229
 
4.9%
193
 
4.2%
Other values (186) 1321
28.5%
Common
ValueCountFrequency (%)
1332
49.6%
1 234
 
8.7%
2 179
 
6.7%
( 126
 
4.7%
) 125
 
4.7%
3 102
 
3.8%
4 79
 
2.9%
5 77
 
2.9%
- 77
 
2.9%
6 75
 
2.8%
Other values (6) 281
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4628
63.3%
ASCII 2687
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1332
49.6%
1 234
 
8.7%
2 179
 
6.7%
( 126
 
4.7%
) 125
 
4.7%
3 102
 
3.8%
4 79
 
2.9%
5 77
 
2.9%
- 77
 
2.9%
6 75
 
2.8%
Other values (6) 281
 
10.5%
Hangul
ValueCountFrequency (%)
425
 
9.2%
394
 
8.5%
389
 
8.4%
353
 
7.6%
349
 
7.5%
347
 
7.5%
344
 
7.4%
284
 
6.1%
229
 
4.9%
193
 
4.2%
Other values (186) 1321
28.5%

면적(제곱미터)
Real number (ℝ)

Distinct154
Distinct (%)45.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.47368
Minimum33
Maximum519
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-12T14:30:08.321012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile55.05
Q185
median109
Q3155.5
95-th percentile258.75
Maximum519
Range486
Interquartile range (IQR)70.5

Descriptive statistics

Standard deviation70.164141
Coefficient of variation (CV)0.54613629
Kurtosis6.3195146
Mean128.47368
Median Absolute Deviation (MAD)30
Skewness2.1044173
Sum43938
Variance4923.0066
MonotonicityNot monotonic
2023-12-12T14:30:08.458581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85 9
 
2.6%
135 7
 
2.0%
100 7
 
2.0%
78 6
 
1.8%
66 6
 
1.8%
86 5
 
1.5%
99 5
 
1.5%
83 5
 
1.5%
102 5
 
1.5%
60 5
 
1.5%
Other values (144) 282
82.5%
ValueCountFrequency (%)
33 1
 
0.3%
40 3
0.9%
41 2
0.6%
44 1
 
0.3%
45 1
 
0.3%
49 2
0.6%
50 2
0.6%
53 1
 
0.3%
54 2
0.6%
55 3
0.9%
ValueCountFrequency (%)
519 1
0.3%
459 1
0.3%
437 1
0.3%
413 1
0.3%
384 1
0.3%
382 1
0.3%
361 1
0.3%
338 1
0.3%
333 1
0.3%
325 1
0.3%
Distinct261
Distinct (%)76.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum1955-01-01 00:00:00
Maximum2021-07-02 00:00:00
2023-12-12T14:30:08.601285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:30:08.726321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-05-22
342 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-22
2nd row2023-05-22
3rd row2023-05-22
4th row2023-05-22
5th row2023-05-22

Common Values

ValueCountFrequency (%)
2023-05-22 342
100.0%

Length

2023-12-12T14:30:08.840617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:30:08.929267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-22 342
100.0%

Interactions

2023-12-12T14:30:05.687582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:30:05.255970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:30:05.774493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:30:05.376559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:30:08.980752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번읍면동면적(제곱미터)
연번1.0000.9780.399
읍면동0.9781.0000.266
면적(제곱미터)0.3990.2661.000
2023-12-12T14:30:09.062597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면적(제곱미터)읍면동
연번1.000-0.1160.897
면적(제곱미터)-0.1161.0000.109
읍면동0.8970.1091.000

Missing values

2023-12-12T14:30:05.900519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:30:06.029264image/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

연번읍면동마을회관명주소면적(제곱미터)준공연도데이터기준일자
01사천읍선인1리경상남도 사천시 사천읍 서재농청길 73-9, 2층5191998-08-052023-05-22
12사천읍선인2리경상남도 사천시 사천읍 동구밖길 37-3, 2층1352003-01-302023-05-22
23사천읍선인3리경상남도 사천시 사천읍 읍내로 98, 가동 4호(신진아파트)701991-05-312023-05-22
34사천읍선인5리경상남도 사천시 사천읍 서당길 1-5(대경아파트)412000-06-202023-05-22
45사천읍선인6리경상남도 사천시 사천읍 사천향교로 13(대경파미르)1812005-07-272023-05-22
56사천읍정의1리경상남도 사천시 사천읍 시장1길 16-9, 2층1811976-04-302023-05-22
67사천읍정의2리경상남도 사천시 사천읍 정의길 822241989-09-162023-05-22
78사천읍정의3리경상남도 사천시 사천읍 수양로 99-19922014-06-262023-05-22
89사천읍정의5리경상남도 사천시 사천읍 수양로 1291151996-02-082023-05-22
910사천읍평화1리경상남도 사천시 사천읍 평화길 194591994-02-042023-05-22
연번읍면동마을회관명주소면적(제곱미터)준공연도데이터기준일자
332334동서금동개발등경상남도 사천시 새시장길 56(동금동)1381989-05-222023-05-22
333335동서금동개발등경상남도 사천시 새시장길 56(동금동), 2층1382004-01-082023-05-22
334336동서금동해변아파트경상남도 사천시 통창동길 7(동금동)2171999-03-262023-05-22
335337동서금동동금경상남도 사천시 동금1길 62-11(동금동)1262005-01-272023-05-22
336338동서금동경남종합상가경상남도 사천시 동금2길 7-11(동금동)752006-12-042023-05-22
337339동서금동노산아파트경상남도 사천시 동금로 72(동금동)872007-04-262023-05-22
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