Overview

Dataset statistics

Number of variables17
Number of observations182
Missing cells523
Missing cells (%)16.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.2 KiB
Average record size in memory141.7 B

Variable types

Text5
Categorical5
Numeric3
Unsupported2
DateTime2

Dataset

Description대구광역시_달서구_도시공원정보
Author대구광역시 달서구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15012890&dataSetDetailId=150128901eec858fa804d_201909171601&provdMethod=FILE

Alerts

관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
공원보유시설(편익시설) is highly overall correlated with 위도 and 5 other fieldsHigh correlation
공원구분 is highly overall correlated with 공원보유시설(편익시설) and 1 other fieldsHigh correlation
전화번호 is highly overall correlated with 위도 and 2 other fieldsHigh correlation
공원보유시설(유희시설) is highly overall correlated with 공원면적 and 1 other fieldsHigh 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
공원보유시설(운동시설) has 159 (87.4%) missing valuesMissing
공원보유시설(교양시설) has 182 (100.0%) missing valuesMissing
공원보유시설(기타시설) has 182 (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 started2023-10-21 06:03:15.444638
Analysis finished2023-10-21 06:03:31.945089
Duration16.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Text

UNIQUE 

Distinct182
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-10-21T06:03:32.570945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters2002
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

Unique182 ?
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%
27290-00117 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%
27290-00126 1
 
0.5%
Other values (172) 172
94.5%
2023-10-21T06:03:35.304028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 679
33.9%
2 402
20.1%
7 220
 
11.0%
9 210
 
10.5%
- 182
 
9.1%
1 125
 
6.2%
3 38
 
1.9%
4 38
 
1.9%
6 38
 
1.9%
5 36
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1820
90.9%
Dash Punctuation 182
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 679
37.3%
2 402
22.1%
7 220
 
12.1%
9 210
 
11.5%
1 125
 
6.9%
3 38
 
2.1%
4 38
 
2.1%
6 38
 
2.1%
5 36
 
2.0%
8 34
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 182
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2002
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 679
33.9%
2 402
20.1%
7 220
 
11.0%
9 210
 
10.5%
- 182
 
9.1%
1 125
 
6.2%
3 38
 
1.9%
4 38
 
1.9%
6 38
 
1.9%
5 36
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2002
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 679
33.9%
2 402
20.1%
7 220
 
11.0%
9 210
 
10.5%
- 182
 
9.1%
1 125
 
6.2%
3 38
 
1.9%
4 38
 
1.9%
6 38
 
1.9%
5 36
 
1.8%

공원명
Text

Distinct174
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-10-21T06:03:37.016204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length5.3351648
Min length3

Characters and Unicode

Total characters971
Distinct characters185
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique168 ?
Unique (%)92.3%

Sample

1st row갈산공원
2nd row강창근린공원
3rd row성서아울렛공원
4th row대곡공원
5th row한실공원
ValueCountFrequency (%)
한마음공원 4
 
2.2%
도원어린이공원 2
 
1.1%
도원근린공원 2
 
1.1%
장미공원 2
 
1.1%
월성공원 2
 
1.1%
학산공원 2
 
1.1%
갈산공원 1
 
0.5%
송일어린이공원 1
 
0.5%
서산공원 1
 
0.5%
서촌공원 1
 
0.5%
Other values (164) 164
90.1%
2023-10-21T06:03:39.159025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 191
19.7%
공 184
18.9%
린 50
 
5.1%
이 49
 
5.0%
어 44
 
4.5%
산 16
 
1.6%
한 11
 
1.1%
월 10
 
1.0%
성 10
 
1.0%
마 10
 
1.0%
Other values (175) 396
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 967
99.6%
Decimal Number 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 191
19.8%
공 184
19.0%
린 50
 
5.2%
이 49
 
5.1%
어 44
 
4.6%
산 16
 
1.7%
한 11
 
1.1%
월 10
 
1.0%
성 10
 
1.0%
마 10
 
1.0%
Other values (174) 392
40.5%
Decimal Number
ValueCountFrequency (%)
1 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 967
99.6%
Common 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 191
19.8%
공 184
19.0%
린 50
 
5.2%
이 49
 
5.1%
어 44
 
4.6%
산 16
 
1.7%
한 11
 
1.1%
월 10
 
1.0%
성 10
 
1.0%
마 10
 
1.0%
Other values (174) 392
40.5%
Common
ValueCountFrequency (%)
1 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 967
99.6%
ASCII 4
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 191
19.8%
공 184
19.0%
린 50
 
5.2%
이 49
 
5.1%
어 44
 
4.6%
산 16
 
1.7%
한 11
 
1.1%
월 10
 
1.0%
성 10
 
1.0%
마 10
 
1.0%
Other values (174) 392
40.5%
ASCII
ValueCountFrequency (%)
1 4
100.0%

공원구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
어린이공원
130 
근린공원
40 
소공원
 
8
수변공원
 
3
체육공원
 
1

Length

Max length5
Median length5
Mean length4.6703297
Min length3

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
어린이공원 130
71.4%
근린공원 40
 
22.0%
소공원 8
 
4.4%
수변공원 3
 
1.6%
체육공원 1
 
0.5%

Length

2023-10-21T06:03:39.807730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:03:40.395025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어린이공원 130
71.4%
근린공원 40
 
22.0%
소공원 8
 
4.4%
수변공원 3
 
1.6%
체육공원 1
 
0.5%

소재지도로명주소
Text

Distinct174
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-10-21T06:03:41.362952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length18.681319
Min length15

Characters and Unicode

Total characters3400
Distinct characters87
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

Unique166 ?
Unique (%)91.2%

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 182
25.0%
달서구 182
25.0%
한실로 6
 
0.8%
상화로 5
 
0.7%
30 5
 
0.7%
상인로 5
 
0.7%
학산로7길 5
 
0.7%
27 5
 
0.7%
26 4
 
0.5%
상인서로 4
 
0.5%
Other values (244) 325
44.6%
2023-10-21T06:03:42.843310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
546
16.1%
구 373
 
11.0%
서 205
 
6.0%
대 190
 
5.6%
달 188
 
5.5%
시 182
 
5.4%
역 182
 
5.4%
광 182
 
5.4%
로 168
 
4.9%
1 116
 
3.4%
Other values (77) 1068
31.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2200
64.7%
Decimal Number 618
 
18.2%
Space Separator 546
 
16.1%
Dash Punctuation 36
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 373
17.0%
서 205
9.3%
대 190
8.6%
달 188
8.5%
시 182
8.3%
역 182
8.3%
광 182
8.3%
로 168
7.6%
길 110
 
5.0%
원 28
 
1.3%
Other values (65) 392
17.8%
Decimal Number
ValueCountFrequency (%)
1 116
18.8%
2 76
12.3%
3 74
12.0%
5 71
11.5%
7 59
9.5%
4 54
8.7%
0 50
8.1%
6 45
 
7.3%
9 44
 
7.1%
8 29
 
4.7%
Space Separator
ValueCountFrequency (%)
546
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2200
64.7%
Common 1200
35.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 373
17.0%
서 205
9.3%
대 190
8.6%
달 188
8.5%
시 182
8.3%
역 182
8.3%
광 182
8.3%
로 168
7.6%
길 110
 
5.0%
원 28
 
1.3%
Other values (65) 392
17.8%
Common
ValueCountFrequency (%)
546
45.5%
1 116
 
9.7%
2 76
 
6.3%
3 74
 
6.2%
5 71
 
5.9%
7 59
 
4.9%
4 54
 
4.5%
0 50
 
4.2%
6 45
 
3.8%
9 44
 
3.7%
Other values (2) 65
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2200
64.7%
ASCII 1200
35.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
546
45.5%
1 116
 
9.7%
2 76
 
6.3%
3 74
 
6.2%
5 71
 
5.9%
7 59
 
4.9%
4 54
 
4.5%
0 50
 
4.2%
6 45
 
3.8%
9 44
 
3.7%
Other values (2) 65
 
5.4%
Hangul
ValueCountFrequency (%)
구 373
17.0%
서 205
9.3%
대 190
8.6%
달 188
8.5%
시 182
8.3%
역 182
8.3%
광 182
8.3%
로 168
7.6%
길 110
 
5.0%
원 28
 
1.3%
Other values (65) 392
17.8%

소재지지번주소
Text

Distinct178
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-10-21T06:03:43.692760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length18.71978
Min length16

Characters and Unicode

Total characters3407
Distinct characters51
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

Unique174 ?
Unique (%)95.6%

Sample

1st row대구광역시 달서구 갈산동 산51-4
2nd row대구광역시 달서구 호산동 349
3rd row대구광역시 달서구 호림동 13-11
4th row대구광역시 달서구 대곡동 410
5th row대구광역시 달서구 대곡동 1088
ValueCountFrequency (%)
대구광역시 182
25.0%
달서구 182
25.0%
상인동 23
 
3.2%
도원동 21
 
2.9%
용산동 19
 
2.6%
월성동 18
 
2.5%
이곡동 18
 
2.5%
대곡동 11
 
1.5%
송현동 9
 
1.2%
신당동 8
 
1.1%
Other values (192) 237
32.6%
2023-10-21T06:03:45.553088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
546
16.0%
구 364
 
10.7%
1 205
 
6.0%
대 197
 
5.8%
시 182
 
5.3%
역 182
 
5.3%
달 182
 
5.3%
서 182
 
5.3%
동 182
 
5.3%
광 182
 
5.3%
Other values (41) 1003
29.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2004
58.8%
Decimal Number 745
 
21.9%
Space Separator 546
 
16.0%
Dash Punctuation 112
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 364
18.2%
대 197
9.8%
시 182
9.1%
역 182
9.1%
달 182
9.1%
서 182
9.1%
동 182
9.1%
광 182
9.1%
산 31
 
1.5%
곡 29
 
1.4%
Other values (29) 291
14.5%
Decimal Number
ValueCountFrequency (%)
1 205
27.5%
2 87
11.7%
4 81
 
10.9%
3 68
 
9.1%
5 64
 
8.6%
8 54
 
7.2%
9 51
 
6.8%
6 46
 
6.2%
0 46
 
6.2%
7 43
 
5.8%
Space Separator
ValueCountFrequency (%)
546
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2004
58.8%
Common 1403
41.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 364
18.2%
대 197
9.8%
시 182
9.1%
역 182
9.1%
달 182
9.1%
서 182
9.1%
동 182
9.1%
광 182
9.1%
산 31
 
1.5%
곡 29
 
1.4%
Other values (29) 291
14.5%
Common
ValueCountFrequency (%)
546
38.9%
1 205
 
14.6%
- 112
 
8.0%
2 87
 
6.2%
4 81
 
5.8%
3 68
 
4.8%
5 64
 
4.6%
8 54
 
3.8%
9 51
 
3.6%
6 46
 
3.3%
Other values (2) 89
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2004
58.8%
ASCII 1403
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
546
38.9%
1 205
 
14.6%
- 112
 
8.0%
2 87
 
6.2%
4 81
 
5.8%
3 68
 
4.8%
5 64
 
4.6%
8 54
 
3.8%
9 51
 
3.6%
6 46
 
3.3%
Other values (2) 89
 
6.3%
Hangul
ValueCountFrequency (%)
구 364
18.2%
대 197
9.8%
시 182
9.1%
역 182
9.1%
달 182
9.1%
서 182
9.1%
동 182
9.1%
광 182
9.1%
산 31
 
1.5%
곡 29
 
1.4%
Other values (29) 291
14.5%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct175
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.832076
Minimum35.79399
Maximum35.862691
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-21T06:03:46.168416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.79399
5-th percentile35.802669
Q135.812793
median35.831934
Q335.853379
95-th percentile35.860129
Maximum35.862691
Range0.068700406
Interquartile range (IQR)0.040585801

Descriptive statistics

Standard deviation0.020548139
Coefficient of variation (CV)0.00057345656
Kurtosis-1.4315084
Mean35.832076
Median Absolute Deviation (MAD)0.020785098
Skewness-0.07601307
Sum6521.4378
Variance0.00042222601
MonotonicityNot monotonic
2023-10-21T06:03:46.895643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.8147252356 2
 
1.1%
35.8328258708 2
 
1.1%
35.8303310087 2
 
1.1%
35.8315767418 2
 
1.1%
35.8062830083 2
 
1.1%
35.83192291 2
 
1.1%
35.8062601 2
 
1.1%
35.8557807187 1
 
0.5%
35.8594918667 1
 
0.5%
35.8427099336 1
 
0.5%
Other values (165) 165
90.7%
ValueCountFrequency (%)
35.7939901937 1
0.5%
35.7953792187 1
0.5%
35.7981241366 1
0.5%
35.7984301142 1
0.5%
35.7988027 1
0.5%
35.798806036 1
0.5%
35.7989975407 1
0.5%
35.7998630728 1
0.5%
35.80159607 1
0.5%
35.8026560235 1
0.5%
ValueCountFrequency (%)
35.8626906 1
0.5%
35.86156292 1
0.5%
35.8614499 1
0.5%
35.8606693653 1
0.5%
35.8606687899 1
0.5%
35.8606049671 1
0.5%
35.86047099 1
0.5%
35.8604032756 1
0.5%
35.8601378607 1
0.5%
35.86013139 1
0.5%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct175
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.52818
Minimum128.47887
Maximum128.57167
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-21T06:03:47.773501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.47887
5-th percentile128.49353
Q1128.51751
median128.53022
Q3128.54174
95-th percentile128.55274
Maximum128.57167
Range0.092794804
Interquartile range (IQR)0.024227093

Descriptive statistics

Standard deviation0.018543393
Coefficient of variation (CV)0.00014427492
Kurtosis0.024319162
Mean128.52818
Median Absolute Deviation (MAD)0.012289056
Skewness-0.53706925
Sum23392.128
Variance0.00034385743
MonotonicityNot monotonic
2023-10-21T06:03:48.661005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.5166122676 2
 
1.1%
128.4872309835 2
 
1.1%
128.5311067295 2
 
1.1%
128.5298706683 2
 
1.1%
128.5461183059 2
 
1.1%
128.5331421 2
 
1.1%
128.5435924 2
 
1.1%
128.5064521323 1
 
0.5%
128.5226047959 1
 
0.5%
128.5462203533 1
 
0.5%
Other values (165) 165
90.7%
ValueCountFrequency (%)
128.4788716271 1
0.5%
128.4796686642 1
0.5%
128.4835649 1
0.5%
128.4839363 1
0.5%
128.4870951 1
0.5%
128.4872309835 2
1.1%
128.4882971019 1
0.5%
128.4889018 1
0.5%
128.4935096 1
0.5%
128.493869 1
0.5%
ValueCountFrequency (%)
128.5716664314 1
0.5%
128.5709285 1
0.5%
128.5596054165 1
0.5%
128.557212444 1
0.5%
128.5559509273 1
0.5%
128.5558955386 1
0.5%
128.5557835594 1
0.5%
128.5551428 1
0.5%
128.5540823789 1
0.5%
128.5527652027 1
0.5%

공원면적
Real number (ℝ)

HIGH CORRELATION 

Distinct168
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13660.929
Minimum47
Maximum660000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-21T06:03:49.302607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47
5-th percentile1500
Q11601.4
median1859.65
Q34056.325
95-th percentile35818.805
Maximum660000
Range659953
Interquartile range (IQR)2454.925

Descriptive statistics

Standard deviation61541.658
Coefficient of variation (CV)4.5049396
Kurtosis84.194071
Mean13660.929
Median Absolute Deviation (MAD)359.45
Skewness8.8551923
Sum2486289
Variance3.7873757 × 109
MonotonicityNot monotonic
2023-10-21T06:03:50.318289image/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%
1650.6 2
 
1.1%
1501.0 2
 
1.1%
1503.0 2
 
1.1%
1641.3 1
 
0.5%
1607.4 1
 
0.5%
1514.3 1
 
0.5%
1823.4 1
 
0.5%
Other values (158) 158
86.8%
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%
980.0 1
 
0.5%
1051.5 1
 
0.5%
1113.1 1
 
0.5%
1488.0 1
 
0.5%
1500.0 4
2.2%
ValueCountFrequency (%)
660000.0 1
0.5%
472537.0 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%
36100.0 1
0.5%

공원보유시설(운동시설)
Text

MISSING 

Distinct13
Distinct (%)56.5%
Missing159
Missing (%)87.4%
Memory size1.6 KiB
2023-10-21T06:03:50.824841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length8.7391304
Min length3

Characters and Unicode

Total characters201
Distinct characters27
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)43.5%

Sample

1st row다목적운동장+게이트볼장+농구장
2nd row배드민턴장
3rd row배구장+배드민턴장+농구장
4th row다목적운동장
5th row배드민턴장
ValueCountFrequency (%)
배드민턴장 5
21.7%
게이트볼장 5
21.7%
다목적운동장 3
13.0%
다목적운동장+게이트볼장+농구장 1
 
4.3%
배구장+배드민턴장+농구장 1
 
4.3%
게이트볼장+배드민턴장+다목적운동장 1
 
4.3%
게이트볼장+다목적운동장 1
 
4.3%
게이트볼장+배드민턴장 1
 
4.3%
배드민턴장+게이트볼장 1
 
4.3%
골프연습장+다목적운동장+정구장 1
 
4.3%
Other values (3) 3
13.0%
2023-10-21T06:03:52.183186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 38
18.9%
+ 15
 
7.5%
이 12
 
6.0%
트 12
 
6.0%
배 11
 
5.5%
게 11
 
5.5%
볼 11
 
5.5%
민 10
 
5.0%
턴 10
 
5.0%
드 10
 
5.0%
Other values (17) 61
30.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 186
92.5%
Math Symbol 15
 
7.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 38
20.4%
이 12
 
6.5%
트 12
 
6.5%
배 11
 
5.9%
게 11
 
5.9%
볼 11
 
5.9%
민 10
 
5.4%
턴 10
 
5.4%
드 10
 
5.4%
다 8
 
4.3%
Other values (16) 53
28.5%
Math Symbol
ValueCountFrequency (%)
+ 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 186
92.5%
Common 15
 
7.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 38
20.4%
이 12
 
6.5%
트 12
 
6.5%
배 11
 
5.9%
게 11
 
5.9%
볼 11
 
5.9%
민 10
 
5.4%
턴 10
 
5.4%
드 10
 
5.4%
다 8
 
4.3%
Other values (16) 53
28.5%
Common
ValueCountFrequency (%)
+ 15
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 186
92.5%
ASCII 15
 
7.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 38
20.4%
이 12
 
6.5%
트 12
 
6.5%
배 11
 
5.9%
게 11
 
5.9%
볼 11
 
5.9%
민 10
 
5.4%
턴 10
 
5.4%
드 10
 
5.4%
다 8
 
4.3%
Other values (16) 53
28.5%
ASCII
ValueCountFrequency (%)
+ 15
100.0%

공원보유시설(유희시설)
Categorical

HIGH CORRELATION 

Distinct40
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
조합놀이대
49 
<NA>
44 
그네+조합놀이대
14 
그네, 조합놀이대
8 
흔들놀이기구+조합놀이대
7 
Other values (35)
60 

Length

Max length23
Median length22
Mean length8.4725275
Min length4

Unique

Unique24 ?
Unique (%)13.2%

Sample

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

Common Values

ValueCountFrequency (%)
조합놀이대 49
26.9%
<NA> 44
24.2%
그네+조합놀이대 14
 
7.7%
그네, 조합놀이대 8
 
4.4%
흔들놀이기구+조합놀이대 7
 
3.8%
흔들놀이기구, 조합놀이대 6
 
3.3%
그네+흔들놀이기구+조합놀이대 6
 
3.3%
조합놀이대+흔들놀이기구 5
 
2.7%
조합놀이대+흔들놀이대 3
 
1.6%
조합놀이대+그네 3
 
1.6%
Other values (30) 37
20.3%

Length

2023-10-21T06:03:52.948027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
조합놀이대 71
33.6%
na 44
20.9%
그네+조합놀이대 14
 
6.6%
그네 12
 
5.7%
흔들놀이기구 11
 
5.2%
흔들놀이기구+조합놀이대 7
 
3.3%
그네+흔들놀이기구+조합놀이대 6
 
2.8%
조합놀이대+흔들놀이기구 5
 
2.4%
조합놀이대+흔들놀이대 3
 
1.4%
조합놀이대+그네 3
 
1.4%
Other values (26) 35
16.6%

공원보유시설(편익시설)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
115 
화장실
67 

Length

Max length4
Median length4
Mean length3.6318681
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 115
63.2%
화장실 67
36.8%

Length

2023-10-21T06:03:53.520611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:03:54.033094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 115
63.2%
화장실 67
36.8%

공원보유시설(교양시설)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

공원보유시설(기타시설)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

지정고시일
Date

Distinct50
Distinct (%)27.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum1965-02-02 00:00:00
Maximum2017-11-30 00:00:00
2023-10-21T06:03:54.763551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:03:55.475845image/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
182 

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 182
100.0%

Length

2023-10-21T06:03:56.102528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:03:56.711772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 182
50.0%
달서구청 182
50.0%

전화번호
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
053-667-3636
100 
053-667-2857
60 
053-667-2851
22 

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 row053-667-3636
5th row053-667-3636

Common Values

ValueCountFrequency (%)
053-667-3636 100
54.9%
053-667-2857 60
33.0%
053-667-2851 22
 
12.1%

Length

2023-10-21T06:03:57.261384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:03:57.820601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
053-667-3636 100
54.9%
053-667-2857 60
33.0%
053-667-2851 22
 
12.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2023-10-13 00:00:00
Maximum2023-10-13 00:00:00
2023-10-21T06:03:58.311442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:03:58.622321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-10-21T06:03:28.062370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:03:24.902792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:03:26.331324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:03:28.483467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:03:25.369442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:03:27.072728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:03:29.121909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:03:25.843463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:03:27.540850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-10-21T06:03:58.957639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공원구분위도경도공원면적공원보유시설(운동시설)공원보유시설(유희시설)지정고시일전화번호
공원구분1.0000.2740.3690.2220.8410.0000.9210.563
위도0.2741.0000.5720.1880.8590.5940.9500.795
경도0.3690.5721.0000.1670.8190.5790.9420.603
공원면적0.2220.1880.1671.0000.7241.0000.8080.208
공원보유시설(운동시설)0.8410.8590.8190.7241.0000.8900.8900.181
공원보유시설(유희시설)0.0000.5940.5791.0000.8901.0000.6810.730
지정고시일0.9210.9500.9420.8080.8900.6811.0000.988
전화번호0.5630.7950.6030.2080.1810.7300.9881.000
2023-10-21T06:03:59.474020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공원보유시설(편익시설)공원구분전화번호공원보유시설(유희시설)
공원보유시설(편익시설)1.0001.0001.0001.000
공원구분1.0001.0000.5050.000
전화번호1.0000.5051.0000.399
공원보유시설(유희시설)1.0000.0000.3991.000
2023-10-21T06:03:59.931991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도공원면적공원구분공원보유시설(유희시설)공원보유시설(편익시설)전화번호
위도1.000-0.450-0.1640.1140.2141.0000.669
경도-0.4501.000-0.0270.1700.1911.0000.451
공원면적-0.164-0.0271.0000.1820.8531.0000.197
공원구분0.1140.1700.1821.0000.0001.0000.505
공원보유시설(유희시설)0.2140.1910.8530.0001.0001.0000.399
공원보유시설(편익시설)1.0001.0001.0001.0001.0001.0001.000
전화번호0.6690.4510.1970.5050.3991.0001.000

Missing values

2023-10-21T06:03:29.885486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-10-21T06:03:31.336020image/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
027290-00001갈산공원근린공원대구광역시 달서구 성서공단로39길 48대구광역시 달서구 갈산동 산51-435.839872128.50414520824.0<NA><NA><NA><NA><NA>1987-05-09대구광역시 달서구청053-667-28512023-10-13
127290-00002강창근린공원근린공원대구광역시 달서구 호산로 126대구광역시 달서구 호산동 34935.850025128.47887215180.0다목적운동장+게이트볼장+농구장물이용놀이기구화장실<NA><NA>1994-08-17대구광역시 달서구청053-667-28512023-10-13
227290-00003성서아울렛공원근린공원대구광역시 달서구 달서대로85길 31대구광역시 달서구 호림동 13-1135.837049128.48829711545.9<NA><NA>화장실<NA><NA>1998-06-02대구광역시 달서구청053-667-28512023-10-13
327290-00004대곡공원근린공원대구광역시 달서구 갈밭로 91대구광역시 달서구 대곡동 41035.807024128.52806210859.0배드민턴장물이용놀이기구화장실<NA><NA>2011-12-09대구광역시 달서구청053-667-36362023-10-13
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527290-00006도원근린공원근린공원대구광역시 달서구 미리샘길 26대구광역시 달서구 도원동 145435.80626128.54359216031.0배구장+배드민턴장+농구장흔들놀이기구+조합놀이대화장실<NA><NA>1993-10-08대구광역시 달서구청053-667-36362023-10-13
627290-00007마을마당공원근린공원대구광역시 달서구 조암로 29대구광역시 달서구 월성동 611-235.824554128.5268917287.0<NA>그네+흔들놀이기구+조합놀이대화장실<NA><NA>2004-10-30대구광역시 달서구청053-667-36362023-10-13
727290-00008무지개공원근린공원대구광역시 달서구 본리서4길 17대구광역시 달서구 본리동 120535.840845128.52923911420.4다목적운동장<NA>화장실<NA><NA>1997-01-11대구광역시 달서구청053-667-28512023-10-13
827290-00009배실공원근린공원대구광역시 달서구 선원로23길 152대구광역시 달서구 이곡동 116535.860471128.50112429555.5<NA><NA><NA><NA><NA>1991-01-10대구광역시 달서구청053-667-28512023-10-13
927290-00010배실웨딩공원근린공원대구광역시 달서구 선원로23길 68대구광역시 달서구 이곡동 산18-335.862691128.50485913905.0<NA><NA>화장실<NA><NA>2011-10-20대구광역시 달서구청053-667-28512023-10-13
관리번호공원명공원구분소재지도로명주소소재지지번주소위도경도공원면적공원보유시설(운동시설)공원보유시설(유희시설)공원보유시설(편익시설)공원보유시설(교양시설)공원보유시설(기타시설)지정고시일관리기관명전화번호데이터기준일자
17227290-00176학산공원어린이공원대구광역시 달서구 월성로 74-1대구광역시 달서구 월성동 84-335.831253128.5269491500.2<NA>그네, 조합놀이대화장실<NA><NA>1989-04-15대구광역시 달서구청053-667-36362023-10-13
17327290-00177한마음공원어린이공원대구광역시 달서구 구마로12길 89대구광역시 달서구 본동 616-535.831945128.5343241753.9<NA>조합놀이대화장실<NA><NA>1989-07-19대구광역시 달서구청053-667-36362023-10-13
17427290-00178한마음공원어린이공원대구광역시 달서구 선원남로 151대구광역시 달서구 용산동 419-235.857479128.517281503.9<NA>흔들놀이기구+조합놀이대<NA><NA><NA>1990-12-28대구광역시 달서구청053-667-28572023-10-13
17527290-00179한빛어린이공원어린이공원대구광역시 달서구 상화북로 195대구광역시 달서구 상인동 1522-135.814035128.5465971500.0<NA>조합놀이대화장실<NA><NA>1991-05-29대구광역시 달서구청053-667-36362023-10-13
17627290-00180한실들마을어린이공원어린이공원대구광역시 달서구 한실로 49대구광역시 달서구 도원동 1429-335.807481128.5328041943.4<NA>조합놀이대<NA><NA><NA>1992-12-28대구광역시 달서구청053-667-36362023-10-13
17727290-00181햇님공원어린이공원대구광역시 달서구 계대동문로 123대구광역시 달서구 이곡동 1192-135.855781128.5064521500.2<NA>조합놀이대+그네화장실<NA><NA>1990-12-28대구광역시 달서구청053-667-28572023-10-13
17827290-00182해바라기어린이공원어린이공원대구광역시 달서구 월배로34길 27대구광역시 달서구 상인동 144235.815335128.5329091787.0<NA><NA><NA><NA><NA>1983-11-22대구광역시 달서구청053-667-36362023-10-13
17927290-00183효성공원어린이공원대구광역시 달서구 학산로7길 39대구광역시 달서구 월성동 273-135.831577128.5298711910.0<NA>조합놀이대화장실<NA><NA>1989-07-19대구광역시 달서구청053-667-36362023-10-13
18027290-00184희망공원어린이공원대구광역시 달서구 달구벌대로340길 17대구광역시 달서구 두류동 496-1135.854619128.5516791613.8<NA>그네+조합놀이대<NA><NA><NA>1979-11-15대구광역시 달서구청053-667-28572023-10-13
18127290-00185월배체육공원체육공원대구광역시 달서구 갈밭남로 76대구광역시 달서구 도원동 147335.801596128.53649636100.0<NA><NA><NA><NA><NA>2011-12-09대구광역시 달서구청053-667-36362023-10-13