Overview

Dataset statistics

Number of variables17
Number of observations112
Missing cells896
Missing cells (%)47.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.2 KiB
Average record size in memory148.2 B

Variable types

Text3
Categorical1
Unsupported8
Numeric3
DateTime2

Dataset

Description대구광역시_동구_도시공원정보_20200325
Author대구광역시 동구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3074870&dataSetDetailId=3074870185fbe6a79119_202003251645&provdMethod=FILE

Alerts

데이터기준일자 has constant value ""Constant
공원면적 is highly overall correlated with 공원구분High correlation
공원구분 is highly overall correlated with 공원면적High correlation
소재지도로명주소 has 112 (100.0%) missing valuesMissing
공원보유시설(운동시설) has 112 (100.0%) missing valuesMissing
공원보유시설(유희시설) has 112 (100.0%) missing valuesMissing
공원보유시설(편익시설) has 112 (100.0%) missing valuesMissing
공원보유시설(교양시설) has 112 (100.0%) missing valuesMissing
공원보유시설(기타시설) has 112 (100.0%) missing valuesMissing
관리기관명 has 112 (100.0%) missing valuesMissing
전화번호 has 112 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
소재지도로명주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공원보유시설(운동시설) is an unsupported type, check if it needs cleaning or further analysisUnsupported
공원보유시설(유희시설) is an unsupported type, check if it needs cleaning or further analysisUnsupported
공원보유시설(편익시설) is an unsupported type, check if it needs cleaning or further analysisUnsupported
공원보유시설(교양시설) is an unsupported type, check if it needs cleaning or further analysisUnsupported
공원보유시설(기타시설) is an unsupported type, check if it needs cleaning or further analysisUnsupported
관리기관명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전화번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 19:00:25.530851
Analysis finished2023-12-10 19:00:28.505984
Duration2.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Text

UNIQUE 

Distinct112
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T04:00:28.810628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters1232
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

Unique112 ?
Unique (%)100.0%

Sample

1st row27140-00001
2nd row27140-00002
3rd row27140-00003
4th row27140-00004
5th row27140-00005
ValueCountFrequency (%)
27140-00001 1
 
0.9%
27140-00002 1
 
0.9%
27140-00083 1
 
0.9%
27140-00082 1
 
0.9%
27140-00081 1
 
0.9%
27140-00080 1
 
0.9%
27140-00079 1
 
0.9%
27140-00078 1
 
0.9%
27140-00077 1
 
0.9%
27140-00076 1
 
0.9%
Other values (102) 102
91.1%
2023-12-11T04:00:29.486572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 465
37.7%
1 150
 
12.2%
2 134
 
10.9%
7 133
 
10.8%
4 133
 
10.8%
- 112
 
9.1%
3 21
 
1.7%
5 21
 
1.7%
6 21
 
1.7%
8 21
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1120
90.9%
Dash Punctuation 112
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 465
41.5%
1 150
 
13.4%
2 134
 
12.0%
7 133
 
11.9%
4 133
 
11.9%
3 21
 
1.9%
5 21
 
1.9%
6 21
 
1.9%
8 21
 
1.9%
9 21
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1232
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 465
37.7%
1 150
 
12.2%
2 134
 
10.9%
7 133
 
10.8%
4 133
 
10.8%
- 112
 
9.1%
3 21
 
1.7%
5 21
 
1.7%
6 21
 
1.7%
8 21
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1232
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 465
37.7%
1 150
 
12.2%
2 134
 
10.9%
7 133
 
10.8%
4 133
 
10.8%
- 112
 
9.1%
3 21
 
1.7%
5 21
 
1.7%
6 21
 
1.7%
8 21
 
1.7%

공원명
Text

Distinct107
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T04:00:29.870996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length8
Mean length6.2589286
Min length3

Characters and Unicode

Total characters701
Distinct characters153
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

Unique103 ?
Unique (%)92.0%

Sample

1st row신암공원
2nd row망우당공원
3rd row효목어린이공원
4th row동부제1공원
5th row덕성어린이공원
ValueCountFrequency (%)
어린이공원 4
 
3.5%
소공원 3
 
2.6%
신암1가로공원 2
 
1.8%
가로공원 2
 
1.8%
율하체육공원 1
 
0.9%
용계공원 1
 
0.9%
용계어린이공원 1
 
0.9%
백안4공원 1
 
0.9%
백안3공원 1
 
0.9%
백안2공원 1
 
0.9%
Other values (97) 97
85.1%
2023-12-11T04:00:30.457184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 115
16.4%
공 113
16.1%
이 50
 
7.1%
린 49
 
7.0%
어 48
 
6.8%
신 18
 
2.6%
암 14
 
2.0%
동 14
 
2.0%
소 8
 
1.1%
로 8
 
1.1%
Other values (143) 264
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 678
96.7%
Decimal Number 17
 
2.4%
Open Punctuation 2
 
0.3%
Close Punctuation 2
 
0.3%
Space Separator 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 115
17.0%
공 113
16.7%
이 50
 
7.4%
린 49
 
7.2%
어 48
 
7.1%
신 18
 
2.7%
암 14
 
2.1%
동 14
 
2.1%
소 8
 
1.2%
로 8
 
1.2%
Other values (135) 241
35.5%
Decimal Number
ValueCountFrequency (%)
1 8
47.1%
2 4
23.5%
4 2
 
11.8%
3 2
 
11.8%
0 1
 
5.9%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 678
96.7%
Common 23
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 115
17.0%
공 113
16.7%
이 50
 
7.4%
린 49
 
7.2%
어 48
 
7.1%
신 18
 
2.7%
암 14
 
2.1%
동 14
 
2.1%
소 8
 
1.2%
로 8
 
1.2%
Other values (135) 241
35.5%
Common
ValueCountFrequency (%)
1 8
34.8%
2 4
17.4%
4 2
 
8.7%
3 2
 
8.7%
( 2
 
8.7%
) 2
 
8.7%
2
 
8.7%
0 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 678
96.7%
ASCII 23
 
3.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 115
17.0%
공 113
16.7%
이 50
 
7.4%
린 49
 
7.2%
어 48
 
7.1%
신 18
 
2.7%
암 14
 
2.1%
동 14
 
2.1%
소 8
 
1.2%
로 8
 
1.2%
Other values (135) 241
35.5%
ASCII
ValueCountFrequency (%)
1 8
34.8%
2 4
17.4%
4 2
 
8.7%
3 2
 
8.7%
( 2
 
8.7%
) 2
 
8.7%
2
 
8.7%
0 1
 
4.3%

공원구분
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
어린이공원
49 
근린공원
28 
소공원
24 
문화공원
 
4
기타
 
4
Other values (3)
 
3

Length

Max length5
Median length4
Mean length4.1517857
Min length2

Unique

Unique3 ?
Unique (%)2.7%

Sample

1st row근린공원
2nd row근린공원
3rd row어린이공원
4th row소공원
5th row어린이공원

Common Values

ValueCountFrequency (%)
어린이공원 49
43.8%
근린공원 28
25.0%
소공원 24
21.4%
문화공원 4
 
3.6%
기타 4
 
3.6%
체육공원 1
 
0.9%
수변공원 1
 
0.9%
묘지공원 1
 
0.9%

Length

2023-12-11T04:00:30.683092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:30.879385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어린이공원 49
43.8%
근린공원 28
25.0%
소공원 24
21.4%
문화공원 4
 
3.6%
기타 4
 
3.6%
체육공원 1
 
0.9%
수변공원 1
 
0.9%
묘지공원 1
 
0.9%

소재지도로명주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

소재지지번주소
Text

Distinct110
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T04:00:31.391320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length17.482143
Min length15

Characters and Unicode

Total characters1958
Distinct characters54
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

Unique108 ?
Unique (%)96.4%

Sample

1st row대구광역시 동구 신암동 산125-3
2nd row대구광역시 동구 효목동 산234-75
3rd row대구광역시 동구 효목동 409
4th row대구광역시 동구 신암동 237-3
5th row대구광역시 동구 신암동 282-2
ValueCountFrequency (%)
대구광역시 112
25.0%
동구 112
25.0%
율하동 19
 
4.2%
신암동 17
 
3.8%
각산동 11
 
2.5%
효목동 8
 
1.8%
신서동 7
 
1.6%
봉무동 7
 
1.6%
신천동 6
 
1.3%
지묘동 5
 
1.1%
Other values (125) 144
32.1%
2023-12-11T04:00:32.139186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
336
17.2%
동 228
11.6%
구 224
11.4%
대 113
 
5.8%
광 112
 
5.7%
역 112
 
5.7%
시 112
 
5.7%
1 107
 
5.5%
- 52
 
2.7%
5 50
 
2.6%
Other values (44) 512
26.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1125
57.5%
Decimal Number 445
 
22.7%
Space Separator 336
 
17.2%
Dash Punctuation 52
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 228
20.3%
구 224
19.9%
대 113
10.0%
광 112
10.0%
역 112
10.0%
시 112
10.0%
신 35
 
3.1%
율 20
 
1.8%
하 19
 
1.7%
암 18
 
1.6%
Other values (32) 132
11.7%
Decimal Number
ValueCountFrequency (%)
1 107
24.0%
5 50
11.2%
6 48
10.8%
2 44
9.9%
3 42
 
9.4%
4 41
 
9.2%
0 37
 
8.3%
7 29
 
6.5%
8 28
 
6.3%
9 19
 
4.3%
Space Separator
ValueCountFrequency (%)
336
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1125
57.5%
Common 833
42.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 228
20.3%
구 224
19.9%
대 113
10.0%
광 112
10.0%
역 112
10.0%
시 112
10.0%
신 35
 
3.1%
율 20
 
1.8%
하 19
 
1.7%
암 18
 
1.6%
Other values (32) 132
11.7%
Common
ValueCountFrequency (%)
336
40.3%
1 107
 
12.8%
- 52
 
6.2%
5 50
 
6.0%
6 48
 
5.8%
2 44
 
5.3%
3 42
 
5.0%
4 41
 
4.9%
0 37
 
4.4%
7 29
 
3.5%
Other values (2) 47
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1125
57.5%
ASCII 833
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
336
40.3%
1 107
 
12.8%
- 52
 
6.2%
5 50
 
6.0%
6 48
 
5.8%
2 44
 
5.3%
3 42
 
5.0%
4 41
 
4.9%
0 37
 
4.4%
7 29
 
3.5%
Other values (2) 47
 
5.6%
Hangul
ValueCountFrequency (%)
동 228
20.3%
구 224
19.9%
대 113
10.0%
광 112
10.0%
역 112
10.0%
시 112
10.0%
신 35
 
3.1%
율 20
 
1.8%
하 19
 
1.7%
암 18
 
1.6%
Other values (32) 132
11.7%

위도
Real number (ℝ)

Distinct106
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.888048
Minimum35.859922
Maximum35.988057
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T04:00:32.408507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.859922
5-th percentile35.863454
Q135.869741
median35.880642
Q335.889493
95-th percentile35.946071
Maximum35.988057
Range0.128135
Interquartile range (IQR)0.01975225

Descriptive statistics

Standard deviation0.026065048
Coefficient of variation (CV)0.0007262877
Kurtosis2.1985307
Mean35.888048
Median Absolute Deviation (MAD)0.0099945
Skewness1.6295173
Sum4019.4614
Variance0.00067938674
MonotonicityNot monotonic
2023-12-11T04:00:32.673588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.944527 3
 
2.7%
35.879573 2
 
1.8%
35.912633 2
 
1.8%
35.8847337907 2
 
1.8%
35.888582 2
 
1.8%
35.890645 1
 
0.9%
35.885302 1
 
0.9%
35.889032 1
 
0.9%
35.888065 1
 
0.9%
35.870252 1
 
0.9%
Other values (96) 96
85.7%
ValueCountFrequency (%)
35.859922 1
0.9%
35.861698 1
0.9%
35.862015 1
0.9%
35.862476 1
0.9%
35.862557 1
0.9%
35.862748 1
0.9%
35.864032 1
0.9%
35.864437 1
0.9%
35.864557 1
0.9%
35.864629 1
0.9%
ValueCountFrequency (%)
35.988057 1
 
0.9%
35.9566956302 1
 
0.9%
35.956045 1
 
0.9%
35.955143 1
 
0.9%
35.953793 1
 
0.9%
35.947958 1
 
0.9%
35.944527 3
2.7%
35.9419735939 1
 
0.9%
35.927432 1
 
0.9%
35.926366 1
 
0.9%

경도
Real number (ℝ)

Distinct107
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.67697
Minimum128.61324
Maximum128.75376
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T04:00:32.934377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.61324
5-th percentile128.61896
Q1128.63697
median128.69082
Q3128.71064
95-th percentile128.74312
Maximum128.75376
Range0.140517
Interquartile range (IQR)0.073677

Descriptive statistics

Standard deviation0.042562848
Coefficient of variation (CV)0.00033077285
Kurtosis-1.3916425
Mean128.67697
Median Absolute Deviation (MAD)0.042881
Skewness0.040471771
Sum14411.82
Variance0.001811596
MonotonicityNot monotonic
2023-12-11T04:00:33.230501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.637757 3
 
2.7%
128.686217 2
 
1.8%
128.6403575355 2
 
1.8%
128.619098 2
 
1.8%
128.62268 1
 
0.9%
128.751679 1
 
0.9%
128.627818 1
 
0.9%
128.626603 1
 
0.9%
128.68316 1
 
0.9%
128.684657 1
 
0.9%
Other values (97) 97
86.6%
ValueCountFrequency (%)
128.613244 1
0.9%
128.616592 1
0.9%
128.616803 1
0.9%
128.61697 1
0.9%
128.618409 1
0.9%
128.618795 1
0.9%
128.619098 2
1.8%
128.619258 1
0.9%
128.62268 1
0.9%
128.62289 1
0.9%
ValueCountFrequency (%)
128.753761 1
0.9%
128.75285 1
0.9%
128.75225 1
0.9%
128.751679 1
0.9%
128.750231 1
0.9%
128.746379 1
0.9%
128.740452 1
0.9%
128.738134 1
0.9%
128.737737 1
0.9%
128.73456 1
0.9%

공원면적
Real number (ℝ)

HIGH CORRELATION 

Distinct109
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20873.4
Minimum427
Maximum468616
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T04:00:33.537364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum427
5-th percentile922.27
Q11604.875
median2366.6
Q311797.95
95-th percentile72593.3
Maximum468616
Range468189
Interquartile range (IQR)10193.075

Descriptive statistics

Standard deviation62848.026
Coefficient of variation (CV)3.0109146
Kurtosis32.082275
Mean20873.4
Median Absolute Deviation (MAD)1141.6
Skewness5.4161094
Sum2337820.8
Variance3.9498743 × 109
MonotonicityNot monotonic
2023-12-11T04:00:33.771339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1500.0 4
 
3.6%
84851.0 1
 
0.9%
427.0 1
 
0.9%
3413.5 1
 
0.9%
3715.4 1
 
0.9%
10694.7 1
 
0.9%
10800.9 1
 
0.9%
15938.0 1
 
0.9%
2328.0 1
 
0.9%
4601.0 1
 
0.9%
Other values (99) 99
88.4%
ValueCountFrequency (%)
427.0 1
0.9%
447.8 1
0.9%
555.0 1
0.9%
579.0 1
0.9%
697.8 1
0.9%
839.0 1
0.9%
990.4 1
0.9%
1126.0 1
0.9%
1200.0 1
0.9%
1250.0 1
0.9%
ValueCountFrequency (%)
468616.0 1
0.9%
367411.0 1
0.9%
239000.0 1
0.9%
187515.1 1
0.9%
84851.0 1
0.9%
76033.0 1
0.9%
69779.0 1
0.9%
67116.0 1
0.9%
47324.1 1
0.9%
46961.2 1
0.9%

공원보유시설(운동시설)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

공원보유시설(유희시설)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

공원보유시설(편익시설)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

공원보유시설(교양시설)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

공원보유시설(기타시설)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

지정고시일
Date

Distinct47
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum1965-02-02 00:00:00
Maximum2019-12-30 00:00:00
2023-12-11T04:00:33.986360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:00:34.229573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)

관리기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2020-03-25 00:00:00
Maximum2020-03-25 00:00:00
2023-12-11T04:00:34.413442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:00:34.602527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T04:00:27.406906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:00:26.065611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:00:26.518177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:00:27.547110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:00:26.220555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:00:26.684730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:00:27.711157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:00:26.382303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:00:26.843516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T04:00:34.730053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공원구분위도경도공원면적지정고시일
공원구분1.0000.6120.5230.8170.965
위도0.6121.0000.6330.3550.930
경도0.5230.6331.0000.4600.936
공원면적0.8170.3550.4601.0000.988
지정고시일0.9650.9300.9360.9881.000
2023-12-11T04:00:34.983623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도공원면적공원구분
위도1.000-0.4200.0430.243
경도-0.4201.0000.1200.276
공원면적0.0430.1201.0000.628
공원구분0.2430.2760.6281.000

Missing values

2023-12-11T04:00:27.927319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T04:00:28.327213image/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

관리번호공원명공원구분소재지도로명주소소재지지번주소위도경도공원면적공원보유시설(운동시설)공원보유시설(유희시설)공원보유시설(편익시설)공원보유시설(교양시설)공원보유시설(기타시설)지정고시일관리기관명전화번호데이터기준일자
027140-00001신암공원근린공원<NA>대구광역시 동구 신암동 산125-335.890645128.6226884851.0<NA><NA><NA><NA><NA>1965-02-02<NA><NA>2020-03-25
127140-00002망우당공원근린공원<NA>대구광역시 동구 효목동 산234-7535.876564128.65852969779.0<NA><NA><NA><NA><NA>1972-11-16<NA><NA>2020-03-25
227140-00003효목어린이공원어린이공원<NA>대구광역시 동구 효목동 40935.878059128.635428990.4<NA><NA><NA><NA><NA>1973-10-16<NA><NA>2020-03-25
327140-00004동부제1공원소공원<NA>대구광역시 동구 신암동 237-335.880684128.622892269.0<NA><NA><NA><NA><NA>1969-05-21<NA><NA>2020-03-25
427140-00005덕성어린이공원어린이공원<NA>대구광역시 동구 신암동 282-235.882415128.6279761483.6<NA><NA><NA><NA><NA>1974-09-02<NA><NA>2020-03-25
527140-00006효동어린이공원어린이공원<NA>대구광역시 동구 효목동 120-135.884734128.6403581486.6<NA><NA><NA><NA><NA>1975-01-09<NA><NA>2020-03-25
627140-00007신암어린이공원어린이공원<NA>대구광역시 동구 신암동 670-5135.887824128.6192584477.0<NA><NA><NA><NA><NA>1977-12-30<NA><NA>2020-03-25
727140-00008불로고분공원근린공원<NA>대구광역시 동구 불로동 산335.914671128.64884367411.0<NA><NA><NA><NA><NA>1978-06-03<NA><NA>2020-03-25
827140-00009안심공원근린공원<NA>대구광역시 동구 신기동 58035.869031128.70258311583.6<NA><NA><NA><NA><NA>1984-12-04<NA><NA>2020-03-25
927140-00010햇님어린이공원어린이공원<NA>대구광역시 동구 율하동 100135.868845128.6958491884.8<NA><NA><NA><NA><NA>1984-12-04<NA><NA>2020-03-25
관리번호공원명공원구분소재지도로명주소소재지지번주소위도경도공원면적공원보유시설(운동시설)공원보유시설(유희시설)공원보유시설(편익시설)공원보유시설(교양시설)공원보유시설(기타시설)지정고시일관리기관명전화번호데이터기준일자
10227140-00103계동공원소공원<NA>대구광역시 동구 지묘동 131535.947958128.62642316948.5<NA><NA><NA><NA><NA>2016-07-06<NA><NA>2020-03-25
10327140-00104효목1동 소공원소공원<NA>대구광역시 동구 효목동 54-7135.883472128.637864839.0<NA><NA><NA><NA><NA>2019-11-11<NA><NA>2020-03-25
10427140-00105신암 어린이공원어린이공원<NA>대구광역시 동구 신암동 66935.888582128.6190985176.0<NA><NA><NA><NA><NA>2018-05-30<NA><NA>2020-03-25
10527140-00106어린이공원어린이공원<NA>대구광역시 동구 효목동 127-335.882458128.6403372785.0<NA><NA><NA><NA><NA>2019-11-11<NA><NA>2020-03-25
10627140-00107신천어린이공원어린이공원<NA>대구광역시 동구 신천동 656-4535.869801128.6168033322.9<NA><NA><NA><NA><NA>2019-11-20<NA><NA>2020-03-25
10727140-00108신암1가로공원기타<NA>대구광역시 동구 신암동 179635.887953128.6256065295.0<NA><NA><NA><NA><NA>2018-05-30<NA><NA>2020-03-25
10827140-00109가로공원기타<NA>대구광역시 동구 효목동 68-535.886085128.6380031126.0<NA><NA><NA><NA><NA>2019-11-11<NA><NA>2020-03-25
10927140-00110가로공원기타<NA>대구광역시 동구 효목동 120-135.884734128.6403581651.0<NA><NA><NA><NA><NA>2019-11-11<NA><NA>2020-03-25
11027140-00111신천가로공원기타<NA>대구광역시 동구 신천동 520-235.874056128.6165922690.9<NA><NA><NA><NA><NA>2019-11-20<NA><NA>2020-03-25
11127140-00112국립신암선열공원묘지공원<NA>대구광역시 동구 신암동 산27-135.890628128.63112128751.0<NA><NA><NA><NA><NA>2019-12-30<NA><NA>2020-03-25