Overview

Dataset statistics

Number of variables12
Number of observations80
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.9 KiB
Average record size in memory100.7 B

Variable types

Text4
Categorical5
Numeric3

Dataset

Description영천시의 새마을회관의 시설명, 소재지도로명주소, 소재지지번주소, 면적, 위도, 경도, 관리기관명, 담당부서명 등 데이터를 제공합니다.
Author경상북도 영천시
URLhttps://www.data.go.kr/data/15110196/fileData.do

Alerts

시설유형 has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
영업상태명 is highly imbalanced (90.3%)Imbalance
시설명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
소재지지번주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2024-04-19 05:20:12.256771
Analysis finished2024-04-19 05:20:13.749886
Duration1.49 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2024-04-19T14:20:14.197701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length7.8625
Min length5

Characters and Unicode

Total characters629
Distinct characters97
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

Unique80 ?
Unique (%)100.0%

Sample

1st row가수1리마을회관
2nd row대의리회관
3rd row삼포리마을회관
4th row석계리마을회관
5th row전사1리마을회관
ValueCountFrequency (%)
마을회관 10
 
10.9%
신방1리(신천)마을회관 1
 
1.1%
온천리회관 1
 
1.1%
완전1리회관 1
 
1.1%
애련리마을회관 1
 
1.1%
치일1리 1
 
1.1%
오미1동마을회관 1
 
1.1%
성곡리복지회관 1
 
1.1%
용산리마을회관 1
 
1.1%
신방리(골안)복지회관 1
 
1.1%
Other values (73) 73
79.3%
2024-04-19T14:20:14.550349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 80
12.7%
관 80
12.7%
마 68
 
10.8%
을 68
 
10.8%
리 65
 
10.3%
1 24
 
3.8%
2 14
 
2.2%
14
 
2.2%
천 9
 
1.4%
동 8
 
1.3%
Other values (87) 199
31.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 560
89.0%
Decimal Number 43
 
6.8%
Space Separator 14
 
2.2%
Open Punctuation 6
 
1.0%
Close Punctuation 6
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 80
14.3%
관 80
14.3%
마 68
12.1%
을 68
12.1%
리 65
11.6%
천 9
 
1.6%
동 8
 
1.4%
지 7
 
1.2%
계 7
 
1.2%
대 7
 
1.2%
Other values (80) 161
28.7%
Decimal Number
ValueCountFrequency (%)
1 24
55.8%
2 14
32.6%
3 4
 
9.3%
9 1
 
2.3%
Space Separator
ValueCountFrequency (%)
14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 560
89.0%
Common 69
 
11.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 80
14.3%
관 80
14.3%
마 68
12.1%
을 68
12.1%
리 65
11.6%
천 9
 
1.6%
동 8
 
1.4%
지 7
 
1.2%
계 7
 
1.2%
대 7
 
1.2%
Other values (80) 161
28.7%
Common
ValueCountFrequency (%)
1 24
34.8%
2 14
20.3%
14
20.3%
( 6
 
8.7%
) 6
 
8.7%
3 4
 
5.8%
9 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 560
89.0%
ASCII 69
 
11.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 80
14.3%
관 80
14.3%
마 68
12.1%
을 68
12.1%
리 65
11.6%
천 9
 
1.6%
동 8
 
1.4%
지 7
 
1.2%
계 7
 
1.2%
대 7
 
1.2%
Other values (80) 161
28.7%
ASCII
ValueCountFrequency (%)
1 24
34.8%
2 14
20.3%
14
20.3%
( 6
 
8.7%
) 6
 
8.7%
3 4
 
5.8%
9 1
 
1.4%

시설유형
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
마을회관
80 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
마을회관 80
100.0%

Length

2024-04-19T14:20:14.686278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:20:14.793361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
마을회관 80
100.0%

소재지도로명주소
Text

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2024-04-19T14:20:15.080894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length20.625
Min length18

Characters and Unicode

Total characters1650
Distinct characters132
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)100.0%

Sample

1st row경상북도 영천시 고경면 가징계길 14-9
2nd row경상북도 영천시 고경면 거곡로 137-2
3rd row경상북도 영천시 고경면 상계로 279
4th row경상북도 영천시 고경면 생계길 6-9
5th row경상북도 영천시 고경면 앞새일길 15-26
ValueCountFrequency (%)
경상북도 80
20.6%
영천시 80
20.6%
고경면 12
 
3.1%
화산면 10
 
2.6%
금호읍 8
 
2.1%
자양면 8
 
2.1%
화남면 7
 
1.8%
북안면 6
 
1.5%
화북면 4
 
1.0%
신녕면 4
 
1.0%
Other values (156) 170
43.7%
2024-04-19T14:20:15.522781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
310
18.8%
경 92
 
5.6%
북 90
 
5.5%
천 86
 
5.2%
도 82
 
5.0%
시 81
 
4.9%
상 81
 
4.9%
영 80
 
4.8%
길 60
 
3.6%
면 59
 
3.6%
Other values (122) 629
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1062
64.4%
Space Separator 310
 
18.8%
Decimal Number 228
 
13.8%
Dash Punctuation 24
 
1.5%
Open Punctuation 13
 
0.8%
Close Punctuation 13
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 92
 
8.7%
북 90
 
8.5%
천 86
 
8.1%
도 82
 
7.7%
시 81
 
7.6%
상 81
 
7.6%
영 80
 
7.5%
길 60
 
5.6%
면 59
 
5.6%
화 22
 
2.1%
Other values (108) 329
31.0%
Decimal Number
ValueCountFrequency (%)
1 53
23.2%
2 34
14.9%
4 31
13.6%
3 24
10.5%
5 21
 
9.2%
6 19
 
8.3%
7 16
 
7.0%
9 11
 
4.8%
0 10
 
4.4%
8 9
 
3.9%
Space Separator
ValueCountFrequency (%)
310
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1062
64.4%
Common 588
35.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 92
 
8.7%
북 90
 
8.5%
천 86
 
8.1%
도 82
 
7.7%
시 81
 
7.6%
상 81
 
7.6%
영 80
 
7.5%
길 60
 
5.6%
면 59
 
5.6%
화 22
 
2.1%
Other values (108) 329
31.0%
Common
ValueCountFrequency (%)
310
52.7%
1 53
 
9.0%
2 34
 
5.8%
4 31
 
5.3%
- 24
 
4.1%
3 24
 
4.1%
5 21
 
3.6%
6 19
 
3.2%
7 16
 
2.7%
( 13
 
2.2%
Other values (4) 43
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1062
64.4%
ASCII 588
35.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
310
52.7%
1 53
 
9.0%
2 34
 
5.8%
4 31
 
5.3%
- 24
 
4.1%
3 24
 
4.1%
5 21
 
3.6%
6 19
 
3.2%
7 16
 
2.7%
( 13
 
2.2%
Other values (4) 43
 
7.3%
Hangul
ValueCountFrequency (%)
경 92
 
8.7%
북 90
 
8.5%
천 86
 
8.1%
도 82
 
7.7%
시 81
 
7.6%
상 81
 
7.6%
영 80
 
7.5%
길 60
 
5.6%
면 59
 
5.6%
화 22
 
2.1%
Other values (108) 329
31.0%

소재지지번주소
Text

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2024-04-19T14:20:15.891547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length20.8625
Min length15

Characters and Unicode

Total characters1669
Distinct characters97
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

Unique80 ?
Unique (%)100.0%

Sample

1st row경상북도 영천시 고경면 가수리 195-5
2nd row경상북도 영천시 고경면 대의리 511
3rd row경상북도 영천시 고경면 삼포리 740-4
4th row경상북도 영천시 고경면 석계리 162
5th row경상북도 영천시 고경면 전사리 11
ValueCountFrequency (%)
경상북도 80
20.7%
영천시 80
20.7%
고경면 12
 
3.1%
화산면 10
 
2.6%
자양면 8
 
2.1%
금호읍 8
 
2.1%
화남면 7
 
1.8%
북안면 6
 
1.6%
신녕면 4
 
1.0%
화북면 4
 
1.0%
Other values (153) 168
43.4%
2024-04-19T14:20:16.357666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
329
19.7%
경 92
 
5.5%
북 90
 
5.4%
천 88
 
5.3%
도 85
 
5.1%
상 81
 
4.9%
영 80
 
4.8%
시 80
 
4.8%
리 67
 
4.0%
1 62
 
3.7%
Other values (87) 615
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1000
59.9%
Space Separator 329
 
19.7%
Decimal Number 291
 
17.4%
Dash Punctuation 49
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 92
 
9.2%
북 90
 
9.0%
천 88
 
8.8%
도 85
 
8.5%
상 81
 
8.1%
영 80
 
8.0%
시 80
 
8.0%
리 67
 
6.7%
면 59
 
5.9%
화 26
 
2.6%
Other values (75) 252
25.2%
Decimal Number
ValueCountFrequency (%)
1 62
21.3%
2 41
14.1%
4 29
10.0%
5 29
10.0%
3 27
9.3%
0 25
8.6%
8 24
 
8.2%
7 21
 
7.2%
6 21
 
7.2%
9 12
 
4.1%
Space Separator
ValueCountFrequency (%)
329
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1000
59.9%
Common 669
40.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 92
 
9.2%
북 90
 
9.0%
천 88
 
8.8%
도 85
 
8.5%
상 81
 
8.1%
영 80
 
8.0%
시 80
 
8.0%
리 67
 
6.7%
면 59
 
5.9%
화 26
 
2.6%
Other values (75) 252
25.2%
Common
ValueCountFrequency (%)
329
49.2%
1 62
 
9.3%
- 49
 
7.3%
2 41
 
6.1%
4 29
 
4.3%
5 29
 
4.3%
3 27
 
4.0%
0 25
 
3.7%
8 24
 
3.6%
7 21
 
3.1%
Other values (2) 33
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1000
59.9%
ASCII 669
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
329
49.2%
1 62
 
9.3%
- 49
 
7.3%
2 41
 
6.1%
4 29
 
4.3%
5 29
 
4.3%
3 27
 
4.0%
0 25
 
3.7%
8 24
 
3.6%
7 21
 
3.1%
Other values (2) 33
 
4.9%
Hangul
ValueCountFrequency (%)
경 92
 
9.2%
북 90
 
9.0%
천 88
 
8.8%
도 85
 
8.5%
상 81
 
8.1%
영 80
 
8.0%
시 80
 
8.0%
리 67
 
6.7%
면 59
 
5.9%
화 26
 
2.6%
Other values (75) 252
25.2%

위도
Real number (ℝ)

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.020498
Minimum35.854984
Maximum37.530493
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-04-19T14:20:16.509459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.854984
5-th percentile35.895494
Q135.94896
median36.001023
Q336.053044
95-th percentile36.12972
Maximum37.530493
Range1.6755091
Interquartile range (IQR)0.10408385

Descriptive statistics

Standard deviation0.18429645
Coefficient of variation (CV)0.0051164326
Kurtosis58.486123
Mean36.020498
Median Absolute Deviation (MAD)0.0528241
Skewness7.1049277
Sum2881.6399
Variance0.033965182
MonotonicityNot monotonic
2024-04-19T14:20:16.655910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.0024585 1
 
1.2%
36.0716067 1
 
1.2%
36.0508792 1
 
1.2%
36.0001316 1
 
1.2%
35.9909898 1
 
1.2%
36.0007908 1
 
1.2%
36.0775913 1
 
1.2%
36.0902024 1
 
1.2%
36.0680127 1
 
1.2%
36.0656299 1
 
1.2%
Other values (70) 70
87.5%
ValueCountFrequency (%)
35.8549842 1
1.2%
35.8746862 1
1.2%
35.8751597 1
1.2%
35.8920963 1
1.2%
35.895673 1
1.2%
35.8957585 1
1.2%
35.9105068 1
1.2%
35.9144601 1
1.2%
35.9168111 1
1.2%
35.9215329 1
1.2%
ValueCountFrequency (%)
37.5304933 1
1.2%
36.1652107 1
1.2%
36.1446868 1
1.2%
36.134531 1
1.2%
36.1294667 1
1.2%
36.114269 1
1.2%
36.1102563 1
1.2%
36.1090386 1
1.2%
36.1008062 1
1.2%
36.090812 1
1.2%

경도
Real number (ℝ)

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.92103
Minimum127.12899
Maximum129.2683
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-04-19T14:20:16.796379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.12899
5-th percentile128.79799
Q1128.88055
median128.92404
Q3129.00872
95-th percentile129.08337
Maximum129.2683
Range2.1393103
Interquartile range (IQR)0.12817008

Descriptive statistics

Standard deviation0.22305397
Coefficient of variation (CV)0.0017301597
Kurtosis53.924295
Mean128.92103
Median Absolute Deviation (MAD)0.0625188
Skewness-6.6457983
Sum10313.682
Variance0.049753074
MonotonicityNot monotonic
2024-04-19T14:20:16.930134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.0802043 1
 
1.2%
128.7533006 1
 
1.2%
128.8950388 1
 
1.2%
128.8075723 1
 
1.2%
128.7985037 1
 
1.2%
128.9417555 1
 
1.2%
129.0189121 1
 
1.2%
129.0358619 1
 
1.2%
129.0756057 1
 
1.2%
129.0661538 1
 
1.2%
Other values (70) 70
87.5%
ValueCountFrequency (%)
127.128992 1
1.2%
128.7300025 1
1.2%
128.7533006 1
1.2%
128.7882224 1
1.2%
128.7985037 1
1.2%
128.8071701 1
1.2%
128.8075723 1
1.2%
128.8268906 1
1.2%
128.8456997 1
1.2%
128.8488155 1
1.2%
ValueCountFrequency (%)
129.2683023 1
1.2%
129.1037591 1
1.2%
129.0941096 1
1.2%
129.0935729 1
1.2%
129.0828281 1
1.2%
129.0802043 1
1.2%
129.0756057 1
1.2%
129.0700055 1
1.2%
129.0661538 1
1.2%
129.0542446 1
1.2%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
영업
79 
비영업
 
1

Length

Max length3
Median length2
Mean length2.0125
Min length2

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업 79
98.8%
비영업 1
 
1.2%

Length

2024-04-19T14:20:17.046966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:20:17.156523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 79
98.8%
비영업 1
 
1.2%

건립일자
Text

Distinct72
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2024-04-19T14:20:17.382292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters800
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

Unique64 ?
Unique (%)80.0%

Sample

1st row2004-12-20
2nd row2002-04-20
3rd row2005-01-13
4th row1978-00-00
5th row2002-07-19
ValueCountFrequency (%)
2002-09-09 2
 
2.5%
2003-02-03 2
 
2.5%
2000-01-29 2
 
2.5%
2005-01-12 2
 
2.5%
1998-12-29 2
 
2.5%
2010-07-21 2
 
2.5%
2005-01-13 2
 
2.5%
2002-07-19 2
 
2.5%
2005-06-16 1
 
1.2%
1998-01-23 1
 
1.2%
Other values (62) 62
77.5%
2024-04-19T14:20:17.739521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 205
25.6%
- 160
20.0%
2 141
17.6%
1 118
14.8%
9 55
 
6.9%
3 27
 
3.4%
7 24
 
3.0%
5 22
 
2.8%
4 17
 
2.1%
6 16
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 640
80.0%
Dash Punctuation 160
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 205
32.0%
2 141
22.0%
1 118
18.4%
9 55
 
8.6%
3 27
 
4.2%
7 24
 
3.8%
5 22
 
3.4%
4 17
 
2.7%
6 16
 
2.5%
8 15
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 160
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 800
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 205
25.6%
- 160
20.0%
2 141
17.6%
1 118
14.8%
9 55
 
6.9%
3 27
 
3.4%
7 24
 
3.0%
5 22
 
2.8%
4 17
 
2.1%
6 16
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 205
25.6%
- 160
20.0%
2 141
17.6%
1 118
14.8%
9 55
 
6.9%
3 27
 
3.4%
7 24
 
3.0%
5 22
 
2.8%
4 17
 
2.1%
6 16
 
2.0%

건물면적
Real number (ℝ)

Distinct78
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121.331
Minimum47.49
Maximum517.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-04-19T14:20:17.900818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47.49
5-th percentile60.813
Q180.88
median98.51
Q3158.115
95-th percentile206.918
Maximum517.19
Range469.7
Interquartile range (IQR)77.235

Descriptive statistics

Standard deviation74.752885
Coefficient of variation (CV)0.61610705
Kurtosis13.364311
Mean121.331
Median Absolute Deviation (MAD)25.96
Skewness3.1626741
Sum9706.48
Variance5587.9938
MonotonicityNot monotonic
2024-04-19T14:20:18.043689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80.88 2
 
2.5%
136.02 2
 
2.5%
71.17 1
 
1.2%
107.49 1
 
1.2%
103.0 1
 
1.2%
62.78 1
 
1.2%
196.94 1
 
1.2%
96.75 1
 
1.2%
125.8 1
 
1.2%
60.3 1
 
1.2%
Other values (68) 68
85.0%
ValueCountFrequency (%)
47.49 1
1.2%
53.04 1
1.2%
56.66 1
1.2%
60.3 1
1.2%
60.84 1
1.2%
62.78 1
1.2%
63.42 1
1.2%
65.88 1
1.2%
66.0 1
1.2%
66.11 1
1.2%
ValueCountFrequency (%)
517.19 1
1.2%
453.6 1
1.2%
259.61 1
1.2%
223.41 1
1.2%
206.05 1
1.2%
196.94 1
1.2%
189.95 1
1.2%
189.68 1
1.2%
187.74 1
1.2%
186.93 1
1.2%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
경상북도 영천시청
80 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상북도 영천시청
2nd row경상북도 영천시청
3rd row경상북도 영천시청
4th row경상북도 영천시청
5th row경상북도 영천시청

Common Values

ValueCountFrequency (%)
경상북도 영천시청 80
100.0%

Length

2024-04-19T14:20:18.166941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:20:18.261449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상북도 80
50.0%
영천시청 80
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
054-330-6204
80 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row054-330-6204
2nd row054-330-6204
3rd row054-330-6204
4th row054-330-6204
5th row054-330-6204

Common Values

ValueCountFrequency (%)
054-330-6204 80
100.0%

Length

2024-04-19T14:20:18.363485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:20:18.466223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
054-330-6204 80
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-11
80 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-11
2nd row2023-12-11
3rd row2023-12-11
4th row2023-12-11
5th row2023-12-11

Common Values

ValueCountFrequency (%)
2023-12-11 80
100.0%

Length

2024-04-19T14:20:18.570403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:20:18.663408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-11 80
100.0%

Interactions

2024-04-19T14:20:13.233851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:20:12.704336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:20:12.989029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:20:13.313387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:20:12.789826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:20:13.076424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:20:13.387285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:20:12.876503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:20:13.159499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-19T14:20:18.736227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명소재지도로명주소소재지지번주소위도경도영업상태명건립일자건물면적
시설명1.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.000
위도1.0001.0001.0001.0000.6860.0000.9100.000
경도1.0001.0001.0000.6861.0000.0000.9490.000
영업상태명1.0001.0001.0000.0000.0001.0001.0000.000
건립일자1.0001.0001.0000.9100.9491.0001.0000.967
건물면적1.0001.0001.0000.0000.0000.0000.9671.000
2024-04-19T14:20:18.854428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도건물면적영업상태명
위도1.000-0.046-0.0760.000
경도-0.0461.000-0.0590.000
건물면적-0.076-0.0591.0000.000
영업상태명0.0000.0000.0001.000

Missing values

2024-04-19T14:20:13.525398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-19T14:20:13.686132image/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

시설명시설유형소재지도로명주소소재지지번주소위도경도영업상태명건립일자건물면적관리기관명관리기관전화번호데이터기준일자
0가수1리마을회관마을회관경상북도 영천시 고경면 가징계길 14-9경상북도 영천시 고경면 가수리 195-536.002459129.080204영업2004-12-20163.1경상북도 영천시청054-330-62042023-12-11
1대의리회관마을회관경상북도 영천시 고경면 거곡로 137-2경상북도 영천시 고경면 대의리 51135.970293128.9831영업2002-04-20517.19경상북도 영천시청054-330-62042023-12-11
2삼포리마을회관마을회관경상북도 영천시 고경면 상계로 279경상북도 영천시 고경면 삼포리 740-436.014676129.103759영업2005-01-1365.88경상북도 영천시청054-330-62042023-12-11
3석계리마을회관마을회관경상북도 영천시 고경면 생계길 6-9경상북도 영천시 고경면 석계리 16236.002546129.09411영업1978-00-00103.47경상북도 영천시청054-330-62042023-12-11
4전사1리마을회관마을회관경상북도 영천시 고경면 앞새일길 15-26경상북도 영천시 고경면 전사리 1135.998626129.054245영업2002-07-1980.6경상북도 영천시청054-330-62042023-12-11
5해선리마을회관마을회관경상북도 영천시 고경면 월천길 26-72경상북도 영천시 고경면 해선리 286-136.001255129.044748영업2002-07-1989.3경상북도 영천시청054-330-62042023-12-11
6용전1리마을회관마을회관경상북도 영천시 고경면 추곡길 151경상북도 영천시 고경면 용전리 74435.988522129.016813영업2003-02-0382.53경상북도 영천시청054-330-62042023-12-11
7부리마을회관마을회관경상북도 영천시 고경면 추곡길 491경상북도 영천시 고경면 부리 17335.972962129.04636영업2004-03-0253.04경상북도 영천시청054-330-62042023-12-11
8칠전리마을회관마을회관경상북도 영천시 고경면 칠전길 114경상북도 영천시 고경면 칠전리 84-135.949721129.093573영업1998-07-1472.12경상북도 영천시청054-330-62042023-12-11
9단포리마을회관마을회관경상북도 영천시 고경면 호국로 361-11경상북도 영천시 고경면 단포리 9935.980445128.976269영업1984-03-19453.6경상북도 영천시청054-330-62042023-12-11
시설명시설유형소재지도로명주소소재지지번주소위도경도영업상태명건립일자건물면적관리기관명관리기관전화번호데이터기준일자
70화산1리(곽산)마을회관마을회관경상북도 영천시 화산면 곽산길 63경상북도 영천시 화산면 화산리 1280-235.922764129.268302영업2016-02-1568.9경상북도 영천시청054-330-62042023-12-11
71대안1리 마을회관마을회관경상북도 영천시 화산면 대안1길 45경상북도 영천시 화산면 대안리 261-136.027625128.826891영업2016-03-1687.39경상북도 영천시청054-330-62042023-12-11
72부계리마을회관마을회관경상북도 영천시 화산면 부계길 115-4경상북도 영천시 화산면 부계리 20636.008485128.861494영업2019-03-1580.62경상북도 영천시청054-330-62042023-12-11
73부계리 경로당마을회관경상북도 영천시 화산면 부계길 115-6경상북도 영천시 화산면 부계리 206-136.008346128.861549영업2000-01-2960.84경상북도 영천시청054-330-62042023-12-11
74석촌리마을회관마을회관경상북도 영천시 화산면 석촌2길 60경상북도 영천시 화산면 석촌리 47-1036.009963128.872102영업2005-01-1283.63경상북도 영천시청054-330-62042023-12-11
75연계1리마을회관마을회관경상북도 영천시 화산면 연지길 120경상북도 영천시 화산면 연계리 10436.028391128.848816영업2000-01-29189.68경상북도 영천시청054-330-62042023-12-11
76유성3리 마을회관마을회관경상북도 영천시 화산면 유성길 13경상북도 영천시 화산면 유성리 578-536.019528128.856935영업2001-05-1785.8경상북도 영천시청054-330-62042023-12-11
77연계2리마을회관마을회관경상북도 영천시 화산면 율전길 32-4경상북도 영천시 화산면 연계리 27036.020694128.8457영업2004-10-2280.88경상북도 영천시청054-330-62042023-12-11
78삼부리마을회관마을회관경상북도 영천시 화산면 장수로 577-25경상북도 영천시 화산면 삼부리 15736.002218128.883334영업2022-12-2447.49경상북도 영천시청054-330-62042023-12-11
79화산2리회관마을회관경상북도 영천시 화산면 효지길 98-14경상북도 영천시 화산면 화산리 239-236.020356128.85225영업1998-12-2981.74경상북도 영천시청054-330-62042023-12-11