Overview

Dataset statistics

Number of variables17
Number of observations185
Missing cells659
Missing cells (%)21.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.6 KiB
Average record size in memory141.7 B

Variable types

Text5
Categorical6
Numeric3
Unsupported2
DateTime1

Dataset

Description대구광역시_달서구_도시공원정보_20190917
Author대구광역시 달서구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3069529&dataSetDetailId=30695292eec858fa804d_201909171601&provdMethod=FILE

Alerts

관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
공원보유시설(유희시설) is highly overall correlated with 공원면적 and 1 other fieldsHigh correlation
전화번호 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
공원보유시설(편익시설) is highly overall correlated with 위도 and 5 other fieldsHigh correlation
공원구분 is highly overall correlated with 공원보유시설(편익시설)High correlation
위도 is highly overall correlated with 공원보유시설(편익시설) and 1 other fieldsHigh correlation
경도 is highly overall correlated with 공원보유시설(편익시설)High correlation
공원면적 is highly overall correlated with 공원보유시설(유희시설) and 1 other fieldsHigh correlation
소재지지번주소 has 127 (68.6%) missing valuesMissing
공원보유시설(운동시설) has 162 (87.6%) missing valuesMissing
공원보유시설(교양시설) has 185 (100.0%) missing valuesMissing
공원보유시설(기타시설) has 185 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
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

Reproduction

Analysis started2023-12-10 19:56:40.882227
Analysis finished2023-12-10 19:56:44.253661
Duration3.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Text

UNIQUE 

Distinct185
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-11T04:56:44.547876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters2035
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

Unique185 ?
Unique (%)100.0%

Sample

1st row27290-00001
2nd row27290-00002
3rd row27290-00003
4th row27290-00004
5th row27290-00005
ValueCountFrequency (%)
27290-00001 1
 
0.5%
27290-00127 1
 
0.5%
27290-00138 1
 
0.5%
27290-00119 1
 
0.5%
27290-00120 1
 
0.5%
27290-00121 1
 
0.5%
27290-00122 1
 
0.5%
27290-00123 1
 
0.5%
27290-00124 1
 
0.5%
27290-00125 1
 
0.5%
Other values (175) 175
94.6%
2023-12-11T04:56:45.307653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 691
34.0%
2 409
20.1%
7 223
 
11.0%
9 213
 
10.5%
- 185
 
9.1%
1 125
 
6.1%
3 39
 
1.9%
4 39
 
1.9%
5 39
 
1.9%
6 38
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1850
90.9%
Dash Punctuation 185
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 691
37.4%
2 409
22.1%
7 223
 
12.1%
9 213
 
11.5%
1 125
 
6.8%
3 39
 
2.1%
4 39
 
2.1%
5 39
 
2.1%
6 38
 
2.1%
8 34
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 185
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 691
34.0%
2 409
20.1%
7 223
 
11.0%
9 213
 
10.5%
- 185
 
9.1%
1 125
 
6.1%
3 39
 
1.9%
4 39
 
1.9%
5 39
 
1.9%
6 38
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 691
34.0%
2 409
20.1%
7 223
 
11.0%
9 213
 
10.5%
- 185
 
9.1%
1 125
 
6.1%
3 39
 
1.9%
4 39
 
1.9%
5 39
 
1.9%
6 38
 
1.9%

공원명
Text

Distinct178
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-11T04:56:45.821235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length2
Mean length2.9837838
Min length2

Characters and Unicode

Total characters552
Distinct characters185
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

Unique173 ?
Unique (%)93.5%

Sample

1st row갈산
2nd row강창
3rd row과학단지
4th row대곡
5th row한실
ValueCountFrequency (%)
한마음 3
 
1.6%
도원 3
 
1.6%
장미 2
 
1.1%
학산 2
 
1.1%
월성 2
 
1.1%
성지 1
 
0.5%
송림 1
 
0.5%
솔밭 1
 
0.5%
서광 1
 
0.5%
서산 1
 
0.5%
Other values (168) 168
90.8%
2023-12-11T04:56:46.557706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 27
 
4.9%
공 21
 
3.8%
산 16
 
2.9%
월 14
 
2.5%
곡 12
 
2.2%
2 11
 
2.0%
배 10
 
1.8%
한 9
 
1.6%
대 9
 
1.6%
1 9
 
1.6%
Other values (175) 414
75.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 519
94.0%
Decimal Number 23
 
4.2%
Close Punctuation 5
 
0.9%
Open Punctuation 5
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 27
 
5.2%
공 21
 
4.0%
산 16
 
3.1%
월 14
 
2.7%
곡 12
 
2.3%
배 10
 
1.9%
한 9
 
1.7%
대 9
 
1.7%
소 9
 
1.7%
용 9
 
1.7%
Other values (169) 383
73.8%
Decimal Number
ValueCountFrequency (%)
2 11
47.8%
1 9
39.1%
4 2
 
8.7%
3 1
 
4.3%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 519
94.0%
Common 33
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 27
 
5.2%
공 21
 
4.0%
산 16
 
3.1%
월 14
 
2.7%
곡 12
 
2.3%
배 10
 
1.9%
한 9
 
1.7%
대 9
 
1.7%
소 9
 
1.7%
용 9
 
1.7%
Other values (169) 383
73.8%
Common
ValueCountFrequency (%)
2 11
33.3%
1 9
27.3%
) 5
15.2%
( 5
15.2%
4 2
 
6.1%
3 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 519
94.0%
ASCII 33
 
6.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 27
 
5.2%
공 21
 
4.0%
산 16
 
3.1%
월 14
 
2.7%
곡 12
 
2.3%
배 10
 
1.9%
한 9
 
1.7%
대 9
 
1.7%
소 9
 
1.7%
용 9
 
1.7%
Other values (169) 383
73.8%
ASCII
ValueCountFrequency (%)
2 11
33.3%
1 9
27.3%
) 5
15.2%
( 5
15.2%
4 2
 
6.1%
3 1
 
3.0%

공원구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
어린이공원
130 
근린공원
40 
소공원
 
9
수변공원
 
5
체육공원
 
1

Length

Max length5
Median length5
Mean length4.6540541
Min length3

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
어린이공원 130
70.3%
근린공원 40
 
21.6%
소공원 9
 
4.9%
수변공원 5
 
2.7%
체육공원 1
 
0.5%

Length

2023-12-11T04:56:46.814119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:56:47.031272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어린이공원 130
70.3%
근린공원 40
 
21.6%
소공원 9
 
4.9%
수변공원 5
 
2.7%
체육공원 1
 
0.5%

소재지도로명주소
Text

Distinct176
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-11T04:56:47.539884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length18.675676
Min length15

Characters and Unicode

Total characters3455
Distinct characters89
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

Unique167 ?
Unique (%)90.3%

Sample

1st row대구광역시 달서구 성서공단로39길 48
2nd row대구광역시 달서구 호산로 126
3rd row대구광역시 달서구 달서대로85길 31
4th row대구광역시 달서구 갈밭로 91
5th row대구광역시 달서구 갈밭로4길 2-16
ValueCountFrequency (%)
대구광역시 185
25.0%
달서구 185
25.0%
상화로 6
 
0.8%
한실로 6
 
0.8%
3 5
 
0.7%
학산로7길 5
 
0.7%
27 5
 
0.7%
30 5
 
0.7%
상인로 5
 
0.7%
26 4
 
0.5%
Other values (248) 329
44.5%
2023-12-11T04:56:48.253086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
555
16.1%
구 379
 
11.0%
서 209
 
6.0%
대 193
 
5.6%
달 191
 
5.5%
광 185
 
5.4%
역 185
 
5.4%
시 185
 
5.4%
로 170
 
4.9%
1 117
 
3.4%
Other values (79) 1086
31.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2233
64.6%
Decimal Number 628
 
18.2%
Space Separator 555
 
16.1%
Dash Punctuation 39
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 379
17.0%
서 209
9.4%
대 193
8.6%
달 191
8.6%
광 185
8.3%
역 185
8.3%
시 185
8.3%
로 170
7.6%
길 111
 
5.0%
원 27
 
1.2%
Other values (67) 398
17.8%
Decimal Number
ValueCountFrequency (%)
1 117
18.6%
3 78
12.4%
2 77
12.3%
5 70
11.1%
7 60
9.6%
4 57
9.1%
0 50
8.0%
6 46
 
7.3%
9 45
 
7.2%
8 28
 
4.5%
Space Separator
ValueCountFrequency (%)
555
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2233
64.6%
Common 1222
35.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 379
17.0%
서 209
9.4%
대 193
8.6%
달 191
8.6%
광 185
8.3%
역 185
8.3%
시 185
8.3%
로 170
7.6%
길 111
 
5.0%
원 27
 
1.2%
Other values (67) 398
17.8%
Common
ValueCountFrequency (%)
555
45.4%
1 117
 
9.6%
3 78
 
6.4%
2 77
 
6.3%
5 70
 
5.7%
7 60
 
4.9%
4 57
 
4.7%
0 50
 
4.1%
6 46
 
3.8%
9 45
 
3.7%
Other values (2) 67
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2233
64.6%
ASCII 1222
35.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
555
45.4%
1 117
 
9.6%
3 78
 
6.4%
2 77
 
6.3%
5 70
 
5.7%
7 60
 
4.9%
4 57
 
4.7%
0 50
 
4.1%
6 46
 
3.8%
9 45
 
3.7%
Other values (2) 67
 
5.5%
Hangul
ValueCountFrequency (%)
구 379
17.0%
서 209
9.4%
대 193
8.6%
달 191
8.6%
광 185
8.3%
역 185
8.3%
시 185
8.3%
로 170
7.6%
길 111
 
5.0%
원 27
 
1.2%
Other values (67) 398
17.8%

소재지지번주소
Text

MISSING 

Distinct56
Distinct (%)96.6%
Missing127
Missing (%)68.6%
Memory size1.6 KiB
2023-12-11T04:56:48.617875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length18.172414
Min length15

Characters and Unicode

Total characters1054
Distinct characters46
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

Unique54 ?
Unique (%)93.1%

Sample

1st row대구광역시 달서구 갈산동 산52
2nd row대구광역시 달서구 대곡동 410
3rd row대구광역시 달서구 대곡동 524-1
4th row대구광역시 달서구 도원동 1454
5th row대구광역시 달서구 본리동 1205
ValueCountFrequency (%)
대구광역시 58
25.0%
달서구 58
25.0%
도원동 13
 
5.6%
상인동 7
 
3.0%
용산동 5
 
2.2%
이곡동 4
 
1.7%
유천동 3
 
1.3%
본리동 3
 
1.3%
본동 3
 
1.3%
월성동 3
 
1.3%
Other values (68) 75
32.3%
2023-12-11T04:56:49.101947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
174
16.5%
구 116
 
11.0%
대 61
 
5.8%
광 58
 
5.5%
역 58
 
5.5%
시 58
 
5.5%
달 58
 
5.5%
서 58
 
5.5%
동 58
 
5.5%
1 57
 
5.4%
Other values (36) 298
28.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 634
60.2%
Decimal Number 222
 
21.1%
Space Separator 174
 
16.5%
Dash Punctuation 24
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 116
18.3%
대 61
9.6%
광 58
9.1%
역 58
9.1%
시 58
9.1%
달 58
9.1%
서 58
9.1%
동 58
9.1%
도 13
 
2.1%
원 13
 
2.1%
Other values (24) 83
13.1%
Decimal Number
ValueCountFrequency (%)
1 57
25.7%
4 34
15.3%
3 23
10.4%
2 22
 
9.9%
5 20
 
9.0%
6 16
 
7.2%
8 14
 
6.3%
0 14
 
6.3%
9 13
 
5.9%
7 9
 
4.1%
Space Separator
ValueCountFrequency (%)
174
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 634
60.2%
Common 420
39.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 116
18.3%
대 61
9.6%
광 58
9.1%
역 58
9.1%
시 58
9.1%
달 58
9.1%
서 58
9.1%
동 58
9.1%
도 13
 
2.1%
원 13
 
2.1%
Other values (24) 83
13.1%
Common
ValueCountFrequency (%)
174
41.4%
1 57
 
13.6%
4 34
 
8.1%
- 24
 
5.7%
3 23
 
5.5%
2 22
 
5.2%
5 20
 
4.8%
6 16
 
3.8%
8 14
 
3.3%
0 14
 
3.3%
Other values (2) 22
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 634
60.2%
ASCII 420
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
174
41.4%
1 57
 
13.6%
4 34
 
8.1%
- 24
 
5.7%
3 23
 
5.5%
2 22
 
5.2%
5 20
 
4.8%
6 16
 
3.8%
8 14
 
3.3%
0 14
 
3.3%
Other values (2) 22
 
5.2%
Hangul
ValueCountFrequency (%)
구 116
18.3%
대 61
9.6%
광 58
9.1%
역 58
9.1%
시 58
9.1%
달 58
9.1%
서 58
9.1%
동 58
9.1%
도 13
 
2.1%
원 13
 
2.1%
Other values (24) 83
13.1%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct176
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.832351
Minimum35.794001
Maximum35.862691
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-11T04:56:49.320223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.794001
5-th percentile35.803239
Q135.812835
median35.832993
Q335.85331
95-th percentile35.860084
Maximum35.862691
Range0.0686897
Interquartile range (IQR)0.04047566

Descriptive statistics

Standard deviation0.02032795
Coefficient of variation (CV)0.00056730719
Kurtosis-1.4105486
Mean35.832351
Median Absolute Deviation (MAD)0.02021342
Skewness-0.087047762
Sum6628.9849
Variance0.00041322556
MonotonicityNot monotonic
2023-12-11T04:56:49.533720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.8326319 2
 
1.1%
35.8147896 2
 
1.1%
35.7983798 2
 
1.1%
35.8305655 2
 
1.1%
35.819071 2
 
1.1%
35.8063388 2
 
1.1%
35.8338158 2
 
1.1%
35.8062601 2
 
1.1%
35.8333049 2
 
1.1%
35.82911493 1
 
0.5%
Other values (166) 166
89.7%
ValueCountFrequency (%)
35.7940009 1
0.5%
35.7953767 1
0.5%
35.79812419 1
0.5%
35.7983798 2
1.1%
35.79842677 1
0.5%
35.7990114 1
0.5%
35.80160097 1
0.5%
35.80291593 1
0.5%
35.80323492 1
0.5%
35.80325312 1
0.5%
ValueCountFrequency (%)
35.8626906 1
0.5%
35.8615609 1
0.5%
35.8614499 1
0.5%
35.8608583 1
0.5%
35.8608054 1
0.5%
35.86066664 1
0.5%
35.86047099 1
0.5%
35.86040199 1
0.5%
35.86033801 1
0.5%
35.86008631 1
0.5%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct176
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.52823
Minimum128.47977
Maximum128.57146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-11T04:56:49.766354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.47977
5-th percentile128.49358
Q1128.51843
median128.53027
Q3128.54181
95-th percentile128.55292
Maximum128.57146
Range0.0916938
Interquartile range (IQR)0.0233847

Descriptive statistics

Standard deviation0.018446263
Coefficient of variation (CV)0.00014351915
Kurtosis0.031351509
Mean128.52823
Median Absolute Deviation (MAD)0.0118414
Skewness-0.53460338
Sum23777.723
Variance0.00034026462
MonotonicityNot monotonic
2023-12-11T04:56:50.235851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.530545 2
 
1.1%
128.5184275 2
 
1.1%
128.5479825 2
 
1.1%
128.5302689 2
 
1.1%
128.5451632 2
 
1.1%
128.5461153 2
 
1.1%
128.4867788 2
 
1.1%
128.543623 2
 
1.1%
128.5324455 2
 
1.1%
128.5541151 1
 
0.5%
Other values (166) 166
89.7%
ValueCountFrequency (%)
128.4797687 1
0.5%
128.480025 1
0.5%
128.4835295 1
0.5%
128.4843272 1
0.5%
128.4867788 2
1.1%
128.4870487 1
0.5%
128.4883023 1
0.5%
128.4889207 1
0.5%
128.4935096 1
0.5%
128.4938553 1
0.5%
ValueCountFrequency (%)
128.5714625 1
0.5%
128.5709285 1
0.5%
128.5596054 1
0.5%
128.557217 1
0.5%
128.5561788 1
0.5%
128.5559197 1
0.5%
128.5558045 1
0.5%
128.5551204 1
0.5%
128.5541151 1
0.5%
128.5529223 1
0.5%

공원면적
Real number (ℝ)

HIGH CORRELATION 

Distinct171
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14292.742
Minimum47
Maximum660000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-11T04:56:50.382014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47
5-th percentile1490.4
Q11599.8
median1883.3
Q34063.1
95-th percentile38656
Maximum660000
Range659953
Interquartile range (IQR)2463.3

Descriptive statistics

Standard deviation62091.451
Coefficient of variation (CV)4.3442646
Kurtosis79.584304
Mean14292.742
Median Absolute Deviation (MAD)383.1
Skewness8.5325818
Sum2644157.2
Variance3.8553483 × 109
MonotonicityNot monotonic
2023-12-11T04:56:50.582278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1500.1 7
 
3.8%
1500.0 4
 
2.2%
1500.2 3
 
1.6%
1503.0 2
 
1.1%
1650.6 2
 
1.1%
1501.0 2
 
1.1%
167522.0 1
 
0.5%
2671.1 1
 
0.5%
1607.4 1
 
0.5%
1514.3 1
 
0.5%
Other values (161) 161
87.0%
ValueCountFrequency (%)
47.0 1
0.5%
340.0 1
0.5%
567.0 1
0.5%
774.0 1
0.5%
804.0 1
0.5%
911.0 1
0.5%
980.0 1
0.5%
1051.5 1
0.5%
1113.1 1
0.5%
1488.0 1
0.5%
ValueCountFrequency (%)
660000.0 1
0.5%
472537.0 1
0.5%
167522.0 1
0.5%
114493.5 1
0.5%
106315.0 1
0.5%
93330.0 1
0.5%
91198.5 1
0.5%
72119.3 1
0.5%
47200.0 1
0.5%
39295.0 1
0.5%

공원보유시설(운동시설)
Text

MISSING 

Distinct12
Distinct (%)52.2%
Missing162
Missing (%)87.6%
Memory size1.6 KiB
2023-12-11T04:56:50.793154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length9.2608696
Min length3

Characters and Unicode

Total characters213
Distinct characters28
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

Unique8 ?
Unique (%)34.8%

Sample

1st row다목적운동장, 게이트볼장, 농구장
2nd row배드민턴장
3rd row배구장, 배드민턴장, 농구장
4th row다목적운동장
5th row배드민턴장
ValueCountFrequency (%)
게이트볼장 11
30.6%
배드민턴장 10
27.8%
다목적운동장 6
16.7%
농구장 3
 
8.3%
축구장 2
 
5.6%
배구장 1
 
2.8%
골프연습장 1
 
2.8%
정구장 1
 
2.8%
게이트볼장,인라인스케이트장,다목적구장 1
 
2.8%
2023-12-11T04:56:51.128520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 38
17.8%
, 15
 
7.0%
이 13
 
6.1%
트 13
 
6.1%
13
 
6.1%
게 12
 
5.6%
볼 12
 
5.6%
배 11
 
5.2%
드 10
 
4.7%
턴 10
 
4.7%
Other values (18) 66
31.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 185
86.9%
Other Punctuation 15
 
7.0%
Space Separator 13
 
6.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 38
20.5%
이 13
 
7.0%
트 13
 
7.0%
게 12
 
6.5%
볼 12
 
6.5%
배 11
 
5.9%
드 10
 
5.4%
턴 10
 
5.4%
민 10
 
5.4%
구 8
 
4.3%
Other values (16) 48
25.9%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 185
86.9%
Common 28
 
13.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 38
20.5%
이 13
 
7.0%
트 13
 
7.0%
게 12
 
6.5%
볼 12
 
6.5%
배 11
 
5.9%
드 10
 
5.4%
턴 10
 
5.4%
민 10
 
5.4%
구 8
 
4.3%
Other values (16) 48
25.9%
Common
ValueCountFrequency (%)
, 15
53.6%
13
46.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 185
86.9%
ASCII 28
 
13.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 38
20.5%
이 13
 
7.0%
트 13
 
7.0%
게 12
 
6.5%
볼 12
 
6.5%
배 11
 
5.9%
드 10
 
5.4%
턴 10
 
5.4%
민 10
 
5.4%
구 8
 
4.3%
Other values (16) 48
25.9%
ASCII
ValueCountFrequency (%)
, 15
53.6%
13
46.4%

공원보유시설(유희시설)
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
조합놀이대
65 
<NA>
53 
흔들놀이기구, 조합놀이대
18 
그네, 조합놀이대
18 
그네, 흔들놀이기구, 조합놀이대
7 
Other values (20)
24 

Length

Max length26
Median length23
Mean length7.7783784
Min length4

Unique

Unique17 ?
Unique (%)9.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row조합놀이대, 그네, 흔들놀이기구

Common Values

ValueCountFrequency (%)
조합놀이대 65
35.1%
<NA> 53
28.6%
흔들놀이기구, 조합놀이대 18
 
9.7%
그네, 조합놀이대 18
 
9.7%
그네, 흔들놀이기구, 조합놀이대 7
 
3.8%
조합놀이대, 흔들놀이대 3
 
1.6%
조합놀이대, 흔들놀이기구 2
 
1.1%
조합놀이대, 그네, 흔들놀이기구 2
 
1.1%
미끄럼틀, 오르는기구 1
 
0.5%
미끄럼틀, 흔들놀이기구, 조합놀이대 1
 
0.5%
Other values (15) 15
 
8.1%

Length

2023-12-11T04:56:51.269428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
조합놀이대 128
46.2%
na 53
19.1%
흔들놀이기구 36
 
13.0%
그네 35
 
12.6%
미끄럼틀 7
 
2.5%
흔들놀이대 4
 
1.4%
오르는기구 2
 
0.7%
시소 2
 
0.7%
짚라인 2
 
0.7%
트램플린 2
 
0.7%
Other values (6) 6
 
2.2%

공원보유시설(편익시설)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
122 
화장실
63 

Length

Max length4
Median length4
Mean length3.6594595
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row화장실
3rd row<NA>
4th row화장실
5th row화장실

Common Values

ValueCountFrequency (%)
<NA> 122
65.9%
화장실 63
34.1%

Length

2023-12-11T04:56:51.422463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:56:51.550905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 122
65.9%
화장실 63
34.1%

공원보유시설(교양시설)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing185
Missing (%)100.0%
Memory size1.8 KiB

공원보유시설(기타시설)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing185
Missing (%)100.0%
Memory size1.8 KiB

지정고시일
Date

Distinct51
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum1965-02-02 00:00:00
Maximum2017-11-30 00:00:00
2023-12-11T04:56:51.679732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:56:51.832289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
대구광역시 달서구청
185 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 달서구청 185
100.0%

Length

2023-12-11T04:56:51.996598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:56:52.130763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 185
50.0%
달서구청 185
50.0%

전화번호
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
053-667-3631
100 
053-667-2851
83 
053-667-2854
 
2

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row053-667-2851
2nd row053-667-2851
3rd row053-667-2851
4th row053-667-3631
5th row053-667-3631

Common Values

ValueCountFrequency (%)
053-667-3631 100
54.1%
053-667-2851 83
44.9%
053-667-2854 2
 
1.1%

Length

2023-12-11T04:56:52.269090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:56:52.402535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
053-667-3631 100
54.1%
053-667-2851 83
44.9%
053-667-2854 2
 
1.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2019-09-17
185 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-09-17
2nd row2019-09-17
3rd row2019-09-17
4th row2019-09-17
5th row2019-09-17

Common Values

ValueCountFrequency (%)
2019-09-17 185
100.0%

Length

2023-12-11T04:56:52.541686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:56:52.659630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-09-17 185
100.0%

Interactions

2023-12-11T04:56:42.912950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:56:41.912645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:56:42.394386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:56:43.079882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:56:42.070941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:56:42.566548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:56:43.248506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:56:42.237968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:56:42.740682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T04:56:52.764566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공원구분소재지지번주소위도경도공원면적공원보유시설(운동시설)공원보유시설(유희시설)지정고시일전화번호
공원구분1.0000.0000.3610.4510.3460.9090.7410.9170.507
소재지지번주소0.0001.0001.0001.0001.0001.0001.0000.9691.000
위도0.3611.0001.0000.5770.2610.8300.7260.9330.799
경도0.4511.0000.5771.0000.0000.6880.4000.9310.536
공원면적0.3461.0000.2610.0001.0000.8510.7640.9100.000
공원보유시설(운동시설)0.9091.0000.8300.6880.8511.0000.8760.7690.000
공원보유시설(유희시설)0.7411.0000.7260.4000.7640.8761.0000.8210.247
지정고시일0.9170.9690.9330.9310.9100.7690.8211.0001.000
전화번호0.5071.0000.7990.5360.0000.0000.2471.0001.000
2023-12-11T04:56:52.935515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공원보유시설(유희시설)전화번호공원보유시설(편익시설)공원구분
공원보유시설(유희시설)1.0000.1751.0000.434
전화번호0.1751.0001.0000.440
공원보유시설(편익시설)1.0001.0001.0001.000
공원구분0.4340.4401.0001.000
2023-12-11T04:56:53.072381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도공원면적공원구분공원보유시설(유희시설)공원보유시설(편익시설)전화번호
위도1.000-0.458-0.1660.1550.3431.0000.676
경도-0.4581.000-0.0320.2090.1441.0000.376
공원면적-0.166-0.0321.0000.1350.5681.0000.000
공원구분0.1550.2090.1351.0000.4341.0000.440
공원보유시설(유희시설)0.3430.1440.5680.4341.0001.0000.175
공원보유시설(편익시설)1.0001.0001.0001.0001.0001.0001.000
전화번호0.6760.3760.0000.4400.1751.0001.000

Missing values

2023-12-11T04:56:43.461482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T04:56:43.909508image/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.
2023-12-11T04:56:44.142737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

관리번호공원명공원구분소재지도로명주소소재지지번주소위도경도공원면적공원보유시설(운동시설)공원보유시설(유희시설)공원보유시설(편익시설)공원보유시설(교양시설)공원보유시설(기타시설)지정고시일관리기관명전화번호데이터기준일자
027290-00001갈산근린공원대구광역시 달서구 성서공단로39길 48대구광역시 달서구 갈산동 산5235.839872128.504149167522.0<NA><NA><NA><NA><NA>1987-05-09대구광역시 달서구청053-667-28512019-09-17
127290-00002강창근린공원대구광역시 달서구 호산로 126<NA>35.851127128.48002515180.0다목적운동장, 게이트볼장, 농구장<NA>화장실<NA><NA>1994-08-17대구광역시 달서구청053-667-28512019-09-17
227290-00003과학단지근린공원대구광역시 달서구 달서대로85길 31<NA>35.837044128.48830211545.9<NA><NA><NA><NA><NA>1998-06-02대구광역시 달서구청053-667-28512019-09-17
327290-00004대곡근린공원대구광역시 달서구 갈밭로 91대구광역시 달서구 대곡동 41035.807024128.52806210859.0배드민턴장<NA>화장실<NA><NA>2011-12-09대구광역시 달서구청053-667-36312019-09-17
427290-00005한실근린공원대구광역시 달서구 갈밭로4길 2-16대구광역시 달서구 대곡동 524-135.802916128.53157691198.5<NA>조합놀이대, 그네, 흔들놀이기구화장실<NA><NA>2011-12-09대구광역시 달서구청053-667-36312019-09-17
527290-00006도원근린공원대구광역시 달서구 미리샘길 26대구광역시 달서구 도원동 145435.80626128.54362316031.0배구장, 배드민턴장, 농구장흔들놀이기구, 조합놀이대화장실<NA><NA>1993-10-08대구광역시 달서구청053-667-36312019-09-17
627290-00007마을마당근린공원대구광역시 달서구 조암로 29<NA>35.824646128.5269177287.0<NA>그네, 흔들놀이기구, 조합놀이대화장실<NA><NA>2004-10-30대구광역시 달서구청053-667-36312019-09-17
727290-00008무지개근린공원대구광역시 달서구 본리서4길 17대구광역시 달서구 본리동 120535.840845128.52923911420.4다목적운동장<NA>화장실<NA><NA>1997-01-11대구광역시 달서구청053-667-28512019-09-17
827290-00009배실근린공원대구광역시 달서구 선원로23길 152<NA>35.860471128.50112429555.5<NA><NA><NA><NA><NA>1991-01-10대구광역시 달서구청053-667-28512019-09-17
927290-00010배실(상)근린공원대구광역시 달서구 선원로23길 68<NA>35.862691128.50485913905.0<NA><NA><NA><NA><NA>2011-10-20대구광역시 달서구청053-667-28512019-09-17
관리번호공원명공원구분소재지도로명주소소재지지번주소위도경도공원면적공원보유시설(운동시설)공원보유시설(유희시설)공원보유시설(편익시설)공원보유시설(교양시설)공원보유시설(기타시설)지정고시일관리기관명전화번호데이터기준일자
17527290-00176학산어린이공원대구광역시 달서구 월성로 74-1<NA>35.831229128.526951500.2<NA>그네, 조합놀이대화장실<NA><NA>1989-04-15대구광역시 달서구청053-667-36312019-09-17
17627290-00177한마음어린이공원대구광역시 달서구 구마로12길 89대구광역시 달서구 본동 61635.832849128.535151753.9<NA>조합놀이대화장실<NA><NA>1989-07-19대구광역시 달서구청053-667-36312019-09-17
17727290-00178한마음어린이공원대구광역시 달서구 선원남로 151대구광역시 달서구 용산동 419-135.858005128.5165741503.9<NA>흔들놀이기구, 조합놀이대<NA><NA><NA>1990-12-28대구광역시 달서구청053-667-28512019-09-17
17827290-00179한빛어린이공원대구광역시 달서구 상화북로 195대구광역시 달서구 상인동 152235.814485128.5467041500.0<NA>조합놀이대화장실<NA><NA>1991-05-29대구광역시 달서구청053-667-36312019-09-17
17927290-00180한실들어린이공원대구광역시 달서구 한실로 49대구광역시 달서구 도원동 142935.808542128.5335961943.4<NA>조합놀이대<NA><NA><NA>1992-12-28대구광역시 달서구청053-667-36312019-09-17
18027290-00181해님어린이공원대구광역시 달서구 계대동문로 123대구광역시 달서구 이곡동 119235.856222128.5059311500.2<NA>조합놀이대화장실<NA><NA>1990-12-28대구광역시 달서구청053-667-28512019-09-17
18127290-00182해바라기어린이공원대구광역시 달서구 월배로34길 27<NA>35.815339128.5327161787.0<NA><NA><NA><NA><NA>1983-11-22대구광역시 달서구청053-667-36312019-09-17
18227290-00183효성어린이공원대구광역시 달서구 학산로7길 39<NA>35.832632128.5305451910.0<NA>조합놀이대화장실<NA><NA>1989-07-19대구광역시 달서구청053-667-36312019-09-17
18327290-00184희망어린이공원대구광역시 달서구 달구벌대로340길 17<NA>35.854616128.5516841613.8<NA>그네, 미끄럼틀<NA><NA><NA>1979-11-15대구광역시 달서구청053-667-28512019-09-17
18427290-00185월배체육공원체육공원대구광역시 달서구 갈밭남로 76대구광역시 달서구 도원동 147335.801601128.53649636100.0<NA><NA><NA><NA><NA>2011-12-09대구광역시 달서구청053-667-36312019-09-17