Overview

Dataset statistics

Number of variables13
Number of observations51
Missing cells1
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.5 KiB
Average record size in memory110.6 B

Variable types

Numeric4
Categorical5
Text3
DateTime1

Dataset

Description대구광역시 중구에 위치한 경로당 현황데이터(연번,시도명,시군구명,경도당명칭,행정동,주소,상세위치,회원수,전화번호,경도,위도,담당부서명,데이터기준일자) 입니다.
URLhttps://www.data.go.kr/data/15114775/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
담당부서명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
경도 is highly overall correlated with 행정동High correlation
행정동 is highly overall correlated with 경도High correlation
전화번호 has 1 (2.0%) missing valuesMissing
연번 has unique valuesUnique
경도당명칭 has unique valuesUnique
위도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:11:42.363792
Analysis finished2023-12-12 22:11:45.080900
Duration2.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T07:11:45.173461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.5
Q113.5
median26
Q338.5
95-th percentile48.5
Maximum51
Range50
Interquartile range (IQR)25

Descriptive statistics

Standard deviation14.866069
Coefficient of variation (CV)0.57177187
Kurtosis-1.2
Mean26
Median Absolute Deviation (MAD)13
Skewness0
Sum1326
Variance221
MonotonicityStrictly increasing
2023-12-13T07:11:45.341369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
2.0%
2 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
36 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
51 1
2.0%
50 1
2.0%
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
대구광역시
51 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 51
100.0%

Length

2023-12-13T07:11:45.488263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:11:45.581178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 51
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
중구
51 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중구 51
100.0%

Length

2023-12-13T07:11:45.677658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:11:45.755860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중구 51
100.0%

경도당명칭
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-13T07:11:45.972473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length5.5882353
Min length2

Characters and Unicode

Total characters285
Distinct characters100
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

Unique51 ?
Unique (%)100.0%

Sample

1st row동인1/2가동
2nd row동인3가동
3rd row동인4가동
4th row삼덕1/2가동
5th row삼덕3가동
ValueCountFrequency (%)
동인1/2가동 1
 
1.9%
남산복지관 1
 
1.9%
청운 1
 
1.9%
대봉2동 1
 
1.9%
건들바위 1
 
1.9%
봉산뜨란채 1
 
1.9%
태왕아너스 1
 
1.9%
스카이 1
 
1.9%
대봉화성파크 1
 
1.9%
드림 1
 
1.9%
Other values (44) 44
81.5%
2023-12-13T07:11:46.382078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 26
 
9.1%
산 11
 
3.9%
성 11
 
3.9%
남 11
 
3.9%
대 9
 
3.2%
인 9
 
3.2%
아 9
 
3.2%
스 7
 
2.5%
트 6
 
2.1%
봉 6
 
2.1%
Other values (90) 180
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 262
91.9%
Decimal Number 16
 
5.6%
Space Separator 5
 
1.8%
Other Punctuation 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 26
 
9.9%
산 11
 
4.2%
성 11
 
4.2%
남 11
 
4.2%
대 9
 
3.4%
인 9
 
3.4%
아 9
 
3.4%
스 7
 
2.7%
트 6
 
2.3%
봉 6
 
2.3%
Other values (83) 157
59.9%
Decimal Number
ValueCountFrequency (%)
1 5
31.2%
2 4
25.0%
3 3
18.8%
7 2
 
12.5%
4 2
 
12.5%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 262
91.9%
Common 23
 
8.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 26
 
9.9%
산 11
 
4.2%
성 11
 
4.2%
남 11
 
4.2%
대 9
 
3.4%
인 9
 
3.4%
아 9
 
3.4%
스 7
 
2.7%
트 6
 
2.3%
봉 6
 
2.3%
Other values (83) 157
59.9%
Common
ValueCountFrequency (%)
5
21.7%
1 5
21.7%
2 4
17.4%
3 3
13.0%
/ 2
 
8.7%
7 2
 
8.7%
4 2
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 262
91.9%
ASCII 23
 
8.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 26
 
9.9%
산 11
 
4.2%
성 11
 
4.2%
남 11
 
4.2%
대 9
 
3.4%
인 9
 
3.4%
아 9
 
3.4%
스 7
 
2.7%
트 6
 
2.3%
봉 6
 
2.3%
Other values (83) 157
59.9%
ASCII
ValueCountFrequency (%)
5
21.7%
1 5
21.7%
2 4
17.4%
3 3
13.0%
/ 2
 
8.7%
7 2
 
8.7%
4 2
 
8.7%

행정동
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)23.5%
Missing0
Missing (%)0.0%
Memory size540.0 B
남산4동
8 
성내1동
6 
동인동
5 
성내3동
5 
성내2동
4 
Other values (7)
23 

Length

Max length4
Median length4
Mean length3.7647059
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row동인동
2nd row동인동
3rd row동인동
4th row삼덕동
5th row삼덕동

Common Values

ValueCountFrequency (%)
남산4동 8
15.7%
성내1동 6
11.8%
동인동 5
9.8%
성내3동 5
9.8%
성내2동 4
7.8%
대신동 4
7.8%
대봉1동 4
7.8%
삼덕동 3
 
5.9%
남산1동 3
 
5.9%
남산2동 3
 
5.9%
Other values (2) 6
11.8%

Length

2023-12-13T07:11:46.550922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
남산4동 8
15.7%
성내1동 6
11.8%
동인동 5
9.8%
성내3동 5
9.8%
성내2동 4
7.8%
대신동 4
7.8%
대봉1동 4
7.8%
삼덕동 3
 
5.9%
남산1동 3
 
5.9%
남산2동 3
 
5.9%
Other values (2) 6
11.8%

주소
Text

Distinct50
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-13T07:11:46.855576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length24.705882
Min length18

Characters and Unicode

Total characters1260
Distinct characters60
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)96.1%

Sample

1st row 대구광역시 중구 국채보상로 679-13(동인동2가)
2nd row 대구광역시 중구 동덕로38길 85(동인동3가)
3rd row 대구광역시 중구 국채보상로142길 33-41(동인동4가)
4th row 대구광역시 중구 공평로4길25(삼덕동2가)
5th row 대구광역시 중구 달구벌대로443길 44-40(삼덕동3가)
ValueCountFrequency (%)
대구광역시 51
27.1%
중구 51
27.1%
달구벌대로 8
 
4.3%
남산로7길 2
 
1.1%
80(남산동 2
 
1.1%
국채보상로 2
 
1.1%
대봉로43안길30-16(대봉동 1
 
0.5%
중앙대로67길10(남산동 1
 
0.5%
대봉로260(대봉로 1
 
0.5%
명덕로55길25(대봉동 1
 
0.5%
Other values (68) 68
36.2%
2023-12-13T07:11:47.285752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
188
 
14.9%
구 113
 
9.0%
대 78
 
6.2%
동 55
 
4.4%
중 54
 
4.3%
광 51
 
4.0%
역 51
 
4.0%
시 51
 
4.0%
로 51
 
4.0%
( 49
 
3.9%
Other values (50) 519
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 742
58.9%
Decimal Number 214
 
17.0%
Space Separator 188
 
14.9%
Open Punctuation 49
 
3.9%
Close Punctuation 49
 
3.9%
Dash Punctuation 17
 
1.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 113
15.2%
대 78
10.5%
동 55
 
7.4%
중 54
 
7.3%
광 51
 
6.9%
역 51
 
6.9%
시 51
 
6.9%
로 51
 
6.9%
길 33
 
4.4%
산 32
 
4.3%
Other values (35) 173
23.3%
Decimal Number
ValueCountFrequency (%)
1 41
19.2%
3 27
12.6%
4 23
10.7%
2 23
10.7%
0 21
9.8%
7 21
9.8%
5 21
9.8%
6 18
8.4%
9 13
 
6.1%
8 6
 
2.8%
Space Separator
ValueCountFrequency (%)
188
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 742
58.9%
Common 518
41.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 113
15.2%
대 78
10.5%
동 55
 
7.4%
중 54
 
7.3%
광 51
 
6.9%
역 51
 
6.9%
시 51
 
6.9%
로 51
 
6.9%
길 33
 
4.4%
산 32
 
4.3%
Other values (35) 173
23.3%
Common
ValueCountFrequency (%)
188
36.3%
( 49
 
9.5%
) 49
 
9.5%
1 41
 
7.9%
3 27
 
5.2%
4 23
 
4.4%
2 23
 
4.4%
0 21
 
4.1%
7 21
 
4.1%
5 21
 
4.1%
Other values (5) 55
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 742
58.9%
ASCII 518
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
188
36.3%
( 49
 
9.5%
) 49
 
9.5%
1 41
 
7.9%
3 27
 
5.2%
4 23
 
4.4%
2 23
 
4.4%
0 21
 
4.1%
7 21
 
4.1%
5 21
 
4.1%
Other values (5) 55
 
10.6%
Hangul
ValueCountFrequency (%)
구 113
15.2%
대 78
10.5%
동 55
 
7.4%
중 54
 
7.3%
광 51
 
6.9%
역 51
 
6.9%
시 51
 
6.9%
로 51
 
6.9%
길 33
 
4.4%
산 32
 
4.3%
Other values (35) 173
23.3%

상세위치
Categorical

Distinct8
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Memory size540.0 B
1층
24 
2층
15 
아파트별채1층
4 
아파트1층
3 
3층
 
2
Other values (3)
3 

Length

Max length9
Median length2
Mean length2.8235294
Min length2

Unique

Unique3 ?
Unique (%)5.9%

Sample

1st row2층
2nd row2층
3rd row2층
4th row1층
5th row2층

Common Values

ValueCountFrequency (%)
1층 24
47.1%
2층 15
29.4%
아파트별채1층 4
 
7.8%
아파트1층 3
 
5.9%
3층 2
 
3.9%
아파트5층 1
 
2.0%
아파트2층 1
 
2.0%
아파트 별채 1층 1
 
2.0%

Length

2023-12-13T07:11:47.432397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:11:47.560383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1층 25
47.2%
2층 15
28.3%
아파트별채1층 4
 
7.5%
아파트1층 3
 
5.7%
3층 2
 
3.8%
아파트5층 1
 
1.9%
아파트2층 1
 
1.9%
아파트 1
 
1.9%
별채 1
 
1.9%

회원수
Real number (ℝ)

Distinct34
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.196078
Minimum22
Maximum1865
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T07:11:47.676252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile23
Q130
median40
Q354
95-th percentile126.5
Maximum1865
Range1843
Interquartile range (IQR)24

Descriptive statistics

Standard deviation256.11092
Coefficient of variation (CV)3.1158532
Kurtosis49.762969
Mean82.196078
Median Absolute Deviation (MAD)10
Skewness7.0169789
Sum4192
Variance65592.801
MonotonicityNot monotonic
2023-12-13T07:11:47.820996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
30 5
 
9.8%
40 3
 
5.9%
43 2
 
3.9%
54 2
 
3.9%
22 2
 
3.9%
66 2
 
3.9%
50 2
 
3.9%
32 2
 
3.9%
38 2
 
3.9%
35 2
 
3.9%
Other values (24) 27
52.9%
ValueCountFrequency (%)
22 2
 
3.9%
23 2
 
3.9%
24 2
 
3.9%
25 1
 
2.0%
26 1
 
2.0%
27 1
 
2.0%
28 1
 
2.0%
30 5
9.8%
32 2
 
3.9%
34 1
 
2.0%
ValueCountFrequency (%)
1865 1
2.0%
159 1
2.0%
150 1
2.0%
103 1
2.0%
80 1
2.0%
72 1
2.0%
66 2
3.9%
63 1
2.0%
60 1
2.0%
59 1
2.0%

전화번호
Text

MISSING 

Distinct49
Distinct (%)98.0%
Missing1
Missing (%)2.0%
Memory size540.0 B
2023-12-13T07:11:48.039797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters600
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

Unique48 ?
Unique (%)96.0%

Sample

1st row053-421-5487
2nd row053-423-8922
3rd row053-422-2770
4th row053-422-2656
5th row053-424-0359
ValueCountFrequency (%)
053-555-3622 2
 
4.0%
053-256-4139 1
 
2.0%
053-427-1777 1
 
2.0%
053-255-8994 1
 
2.0%
053-423-2660 1
 
2.0%
053-423-6891 1
 
2.0%
053-421-4465 1
 
2.0%
053-423-7854 1
 
2.0%
053-423-9101 1
 
2.0%
053-423-6080 1
 
2.0%
Other values (39) 39
78.0%
2023-12-13T07:11:48.418700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 100
16.7%
5 98
16.3%
3 85
14.2%
0 83
13.8%
2 78
13.0%
4 55
9.2%
7 23
 
3.8%
9 21
 
3.5%
6 20
 
3.3%
1 19
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 500
83.3%
Dash Punctuation 100
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 98
19.6%
3 85
17.0%
0 83
16.6%
2 78
15.6%
4 55
11.0%
7 23
 
4.6%
9 21
 
4.2%
6 20
 
4.0%
1 19
 
3.8%
8 18
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 600
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 100
16.7%
5 98
16.3%
3 85
14.2%
0 83
13.8%
2 78
13.0%
4 55
9.2%
7 23
 
3.8%
9 21
 
3.5%
6 20
 
3.3%
1 19
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 100
16.7%
5 98
16.3%
3 85
14.2%
0 83
13.8%
2 78
13.0%
4 55
9.2%
7 23
 
3.8%
9 21
 
3.5%
6 20
 
3.3%
1 19
 
3.2%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct50
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.59162
Minimum128.57675
Maximum128.61008
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T07:11:48.560985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.57675
5-th percentile128.57799
Q1128.58171
median128.58958
Q3128.60061
95-th percentile128.60671
Maximum128.61008
Range0.033327
Interquartile range (IQR)0.0188995

Descriptive statistics

Standard deviation0.010253141
Coefficient of variation (CV)7.9734127 × 10-5
Kurtosis-1.3707283
Mean128.59162
Median Absolute Deviation (MAD)0.009368
Skewness0.15874758
Sum6558.1728
Variance0.0001051269
MonotonicityNot monotonic
2023-12-13T07:11:48.726267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.579253 2
 
3.9%
128.604986 1
 
2.0%
128.60203 1
 
2.0%
128.605647 1
 
2.0%
128.604808 1
 
2.0%
128.600086 1
 
2.0%
128.596233 1
 
2.0%
128.596767 1
 
2.0%
128.598953 1
 
2.0%
128.600744 1
 
2.0%
Other values (40) 40
78.4%
ValueCountFrequency (%)
128.57675 1
2.0%
128.577727 1
2.0%
128.5778148 1
2.0%
128.578163 1
2.0%
128.57892 1
2.0%
128.5790425 1
2.0%
128.579253 2
3.9%
128.579673 1
2.0%
128.580598 1
2.0%
128.580626 1
2.0%
ValueCountFrequency (%)
128.610077 1
2.0%
128.609214 1
2.0%
128.607025 1
2.0%
128.606402 1
2.0%
128.606084 1
2.0%
128.605647 1
2.0%
128.604986 1
2.0%
128.604808 1
2.0%
128.6028943 1
2.0%
128.60203 1
2.0%

위도
Real number (ℝ)

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.865377
Minimum35.856805
Maximum35.87787
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T07:11:48.868003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.856805
5-th percentile35.858371
Q135.86013
median35.86425
Q335.869394
95-th percentile35.875729
Maximum35.87787
Range0.0210653
Interquartile range (IQR)0.0092637

Descriptive statistics

Standard deviation0.0059580746
Coefficient of variation (CV)0.00016612329
Kurtosis-0.85318686
Mean35.865377
Median Absolute Deviation (MAD)0.0043204
Skewness0.5356164
Sum1829.1342
Variance3.5498653 × 10-5
MonotonicityNot monotonic
2023-12-13T07:11:48.999219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.86979 1
 
2.0%
35.871104 1
 
2.0%
35.858998 1
 
2.0%
35.857803 1
 
2.0%
35.858611 1
 
2.0%
35.858744 1
 
2.0%
35.862917 1
 
2.0%
35.865499 1
 
2.0%
35.856805 1
 
2.0%
35.861639 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
35.856805 1
2.0%
35.857803 1
2.0%
35.858364 1
2.0%
35.8583779 1
2.0%
35.858611 1
2.0%
35.85872 1
2.0%
35.858744 1
2.0%
35.85886 1
2.0%
35.858998 1
2.0%
35.859231 1
2.0%
ValueCountFrequency (%)
35.8778703 1
2.0%
35.8774208 1
2.0%
35.876112 1
2.0%
35.8753457 1
2.0%
35.87488 1
2.0%
35.87424 1
2.0%
35.873671 1
2.0%
35.873129 1
2.0%
35.872778 1
2.0%
35.872627 1
2.0%

담당부서명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
복지정책과
51 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
복지정책과 51
100.0%

Length

2023-12-13T07:11:49.126373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:11:49.226211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복지정책과 51
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
Minimum2023-06-19 00:00:00
Maximum2023-06-19 00:00:00
2023-12-13T07:11:49.290352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:11:49.368313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T07:11:44.139169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:11:43.036753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:11:43.441855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:11:43.805566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:11:44.207293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:11:43.132908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:11:43.528575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:11:43.889988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:11:44.288383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:11:43.249932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:11:43.636739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:11:43.975856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:11:44.370509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:11:43.350982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:11:43.733582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:11:44.063143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:11:49.455897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번경도당명칭행정동주소상세위치회원수전화번호경도위도
연번1.0001.0000.7921.0000.3650.1251.0000.6340.787
경도당명칭1.0001.0001.0001.0001.0001.0001.0001.0001.000
행정동0.7921.0001.0001.0000.1790.0001.0000.8260.731
주소1.0001.0001.0001.0000.0001.0000.9961.0001.000
상세위치0.3651.0000.1790.0001.0000.0001.0000.0000.172
회원수0.1251.0000.0001.0000.0001.0000.0000.0000.541
전화번호1.0001.0001.0000.9961.0000.0001.0000.9701.000
경도0.6341.0000.8261.0000.0000.0000.9701.0000.000
위도0.7871.0000.7311.0000.1720.5411.0000.0001.000
2023-12-13T07:11:49.552880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동상세위치
행정동1.0000.018
상세위치0.0181.000
2023-12-13T07:11:49.625675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번회원수경도위도행정동상세위치
연번1.000-0.001-0.280-0.2450.4420.221
회원수-0.0011.000-0.1100.1160.0000.000
경도-0.280-0.1101.0000.0140.5250.000
위도-0.2450.1160.0141.0000.4020.049
행정동0.4420.0000.5250.4021.0000.018
상세위치0.2210.0000.0000.0490.0181.000

Missing values

2023-12-13T07:11:44.526845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:11:45.011832image/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

연번시도명시군구명경도당명칭행정동주소상세위치회원수전화번호경도위도담당부서명데이터기준일자
01대구광역시중구동인1/2가동동인동대구광역시 중구 국채보상로 679-13(동인동2가)2층43053-421-5487128.60498635.86979복지정책과2023-06-19
12대구광역시중구동인3가동동인동대구광역시 중구 동덕로38길 85(동인동3가)2층49053-423-8922128.60921435.871104복지정책과2023-06-19
23대구광역시중구동인4가동동인동대구광역시 중구 국채보상로142길 33-41(동인동4가)2층58053-422-2770128.61007735.866966복지정책과2023-06-19
34대구광역시중구삼덕1/2가동삼덕동대구광역시 중구 공평로4길25(삼덕동2가)1층24053-422-2656128.60134535.865372복지정책과2023-06-19
45대구광역시중구삼덕3가동삼덕동대구광역시 중구 달구벌대로443길 44-40(삼덕동3가)2층60053-424-0359128.60608435.864632복지정책과2023-06-19
56대구광역시중구삼덕청아람삼덕동대구광역시 중구 달구벌대로 447길 77(삼덕동3가)아파트별채1층27053-427-1901128.60640235.866626복지정책과2023-06-19
67대구광역시중구봉산동성내1동대구광역시 중구 봉산문화길1-4(봉산동)2층45053-425-2705128.5982635.860501복지정책과2023-06-19
78대구광역시중구동성동성내1동대구광역시 중구 교동길79-6(교동)2층30053-423-6809128.59914635.873671복지정책과2023-06-19
89대구광역시중구77태평아파트성내1동대구광역시 중구 태평로205(태평로1가)아파트1층35053-422-7074128.60047835.87424복지정책과2023-06-19
910대구광역시중구라이프태평성내1동대구광역시 중구 태평로177(태평로1가)아파트5층26053-425-0802128.59756635.87488복지정책과2023-06-19
연번시도명시군구명경도당명칭행정동주소상세위치회원수전화번호경도위도담당부서명데이터기준일자
4142대구광역시중구동인삼정그린코아동인동대구광역시 중구 동덕로30길 53(동인동4가)1층30053-422-0548128.60702535.867466복지정책과2023-06-19
4243대구광역시중구노인회구지회성내3동대구광역시 중구 태평로 45(태평로3가)2층1865053-555-3622128.58338735.87787복지정책과2023-06-19
4344대구광역시중구극동스타클래스남산3동대구광역시 중구 남산로 30(남산동)아파트 별채 1층50053-252-2644128.58294435.859231복지정책과2023-06-19
4445대구광역시중구노인회중구지회부설노인학교성내3동대구광역시 중구 태평로2길 142층50053-555-3622128.57904335.877421복지정책과2023-06-19
4546대구광역시중구중앙도서관 노인독서대학성내1동대구광역시 중구 국채보상로 6701층150053-423-4107128.60173135.868997복지정책과2023-06-19
4647대구광역시중구효성해링턴플레이스남산1동대구광역시 중구 중앙대로66길 20(남산동)3층22053-428-3390128.59408935.861285복지정책과2023-06-19
4748대구광역시중구대봉태왕아너스대봉1동대구광역시 중구 동덕로 55(대봉동)1층28053-422-9779128.60289435.858378복지정책과2023-06-19
4849대구광역시중구대신자이대신동대구광역시 중구 달구벌대로 1955(대신동)1층42053-431-0107128.57781535.864517복지정책과2023-06-19
4950대구광역시중구대구역센트럴자이성내3동대구광역시 중구 서성로 99(수창동)2층36<NA>128.58764935.875346복지정책과2023-06-19
5051대구광역시중구남산역화성파크드림남산4동대구광역시 중구 남산로7길7(남산동)1층23053-252-3440128.5821435.85872복지정책과2023-06-19