Overview

Dataset statistics

Number of variables30
Number of observations464
Missing cells464
Missing cells (%)3.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory114.8 KiB
Average record size in memory253.3 B

Variable types

Text6
Categorical11
Unsupported1
Numeric12

Dataset

Description대구광역시 관내 도시공원 내의 산책로 기본(행정동, 관리기관 등), 산책로(편익/체육/관리/휴양 시설 수량 등), 위치(대표 경위도, 구간시종점 경위도 및 설명 등), 이미지 정보 파일 제공
Author대구광역시
URLhttps://www.data.go.kr/data/15109660/fileData.do

Alerts

위치구분 has constant value ""Constant
데이터기준일 has constant value ""Constant
도로명주소 has 464 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
산책로설명 has unique valuesUnique
구간시점사진 has unique valuesUnique
구간종점사진 has unique valuesUnique
도로명주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편익시설수량 has 337 (72.6%) zerosZeros
체육시설수량 has 339 (73.1%) zerosZeros
관리시설수량 has 145 (31.2%) zerosZeros
휴양시설수량 has 211 (45.5%) zerosZeros

Reproduction

Analysis started2023-12-12 20:56:53.401311
Analysis finished2023-12-12 20:56:54.159758
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Text

UNIQUE 

Distinct464
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2023-12-13T05:56:54.260553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters8352
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

Unique464 ?
Unique (%)100.0%

Sample

1st row27260-00072-03-001
2nd row27290-00179-03-001
3rd row27260-00072-03-002
4th row27290-00179-03-002
5th row27290-00179-03-003
ValueCountFrequency (%)
27260-00072-03-001 1
 
0.2%
27140-00001-03-037 1
 
0.2%
27290-00035-03-006 1
 
0.2%
27290-00035-03-005 1
 
0.2%
27290-00035-03-004 1
 
0.2%
27260-00073-03-024 1
 
0.2%
27260-00073-03-023 1
 
0.2%
27290-00035-03-003 1
 
0.2%
27260-00073-03-022 1
 
0.2%
27290-00035-03-002 1
 
0.2%
Other values (454) 454
97.8%
2023-12-13T05:56:54.502084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3062
36.7%
- 1392
16.7%
2 1145
 
13.7%
7 721
 
8.6%
3 705
 
8.4%
1 436
 
5.2%
9 409
 
4.9%
4 152
 
1.8%
6 144
 
1.7%
5 130
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6960
83.3%
Dash Punctuation 1392
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3062
44.0%
2 1145
 
16.5%
7 721
 
10.4%
3 705
 
10.1%
1 436
 
6.3%
9 409
 
5.9%
4 152
 
2.2%
6 144
 
2.1%
5 130
 
1.9%
8 56
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 1392
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8352
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3062
36.7%
- 1392
16.7%
2 1145
 
13.7%
7 721
 
8.6%
3 705
 
8.4%
1 436
 
5.2%
9 409
 
4.9%
4 152
 
1.8%
6 144
 
1.7%
5 130
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8352
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3062
36.7%
- 1392
16.7%
2 1145
 
13.7%
7 721
 
8.6%
3 705
 
8.4%
1 436
 
5.2%
9 409
 
4.9%
4 152
 
1.8%
6 144
 
1.7%
5 130
 
1.6%

위치명
Categorical

Distinct12
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
앞산공원
111 
두류공원
82 
범어공원
46 
신암공원
41 
학산공원
38 
Other values (7)
146 

Length

Max length5
Median length4
Mean length4.0689655
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row범어공원
2nd row두류공원
3rd row범어공원
4th row두류공원
5th row두류공원

Common Values

ValueCountFrequency (%)
앞산공원 111
23.9%
두류공원 82
17.7%
범어공원 46
9.9%
신암공원 41
 
8.8%
학산공원 38
 
8.2%
야시골공원 32
 
6.9%
침산공원 26
 
5.6%
상리공원 26
 
5.6%
송현공원 25
 
5.4%
선원공원 19
 
4.1%
Other values (2) 18
 
3.9%

Length

2023-12-13T05:56:54.607364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
앞산공원 111
23.9%
두류공원 82
17.7%
범어공원 46
9.9%
신암공원 41
 
8.8%
학산공원 38
 
8.2%
야시골공원 32
 
6.9%
침산공원 26
 
5.6%
상리공원 26
 
5.6%
송현공원 25
 
5.4%
선원공원 19
 
4.1%
Other values (2) 18
 
3.9%

위치구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
근린공원
464 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
근린공원 464
100.0%

Length

2023-12-13T05:56:54.693361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:56:54.756491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
근린공원 464
100.0%

도로명주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing464
Missing (%)100.0%
Memory size4.2 KiB

지번주소
Categorical

Distinct12
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
대구광역시 남구 대명동 산 227-5
111 
대구광역시 달서구 성당동 산 198-1
82 
대구광역시 수성구 황금동 산 19
46 
대구광역시 동구 신암동 664-18
41 
대구광역시 달서구 본동 산 58
38 
Other values (7)
146 

Length

Max length22
Median length20
Mean length19.301724
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 수성구 황금동 산 19
2nd row대구광역시 달서구 성당동 산 198-1
3rd row대구광역시 수성구 황금동 산 19
4th row대구광역시 달서구 성당동 산 198-1
5th row대구광역시 달서구 성당동 산 198-1

Common Values

ValueCountFrequency (%)
대구광역시 남구 대명동 산 227-5 111
23.9%
대구광역시 달서구 성당동 산 198-1 82
17.7%
대구광역시 수성구 황금동 산 19 46
9.9%
대구광역시 동구 신암동 664-18 41
 
8.8%
대구광역시 달서구 본동 산 58 38
 
8.2%
대구광역시 수성구 범어동 산 25 32
 
6.9%
대구광역시 북구 침산동 1360 26
 
5.6%
대구광역시 서구 중리동 산 198-3 26
 
5.6%
대구광역시 달서구 송현동 산 106-21 25
 
5.4%
대구광역시 달서구 용산동 505-2 19
 
4.1%
Other values (2) 18
 
3.9%

Length

2023-12-13T05:56:54.834469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구광역시 464
20.9%
산 360
16.2%
달서구 164
 
7.4%
남구 111
 
5.0%
대명동 111
 
5.0%
227-5 111
 
5.0%
성당동 82
 
3.7%
198-1 82
 
3.7%
수성구 78
 
3.5%
황금동 46
 
2.1%
Other values (24) 611
27.5%

편익시설수량
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.46982759
Minimum0
Maximum7
Zeros337
Zeros (%)72.6%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2023-12-13T05:56:54.916246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9405407
Coefficient of variation (CV)2.0018848
Kurtosis8.9143713
Mean0.46982759
Median Absolute Deviation (MAD)0
Skewness2.6451563
Sum218
Variance0.88461682
MonotonicityNot monotonic
2023-12-13T05:56:54.998754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 337
72.6%
1 70
 
15.1%
2 37
 
8.0%
3 11
 
2.4%
4 6
 
1.3%
5 2
 
0.4%
7 1
 
0.2%
ValueCountFrequency (%)
0 337
72.6%
1 70
 
15.1%
2 37
 
8.0%
3 11
 
2.4%
4 6
 
1.3%
5 2
 
0.4%
7 1
 
0.2%
ValueCountFrequency (%)
7 1
 
0.2%
5 2
 
0.4%
4 6
 
1.3%
3 11
 
2.4%
2 37
 
8.0%
1 70
 
15.1%
0 337
72.6%

체육시설수량
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0431034
Minimum0
Maximum60
Zeros339
Zeros (%)73.1%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2023-12-13T05:56:55.098706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile16
Maximum60
Range60
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.4464449
Coefficient of variation (CV)2.4469904
Kurtosis15.497238
Mean3.0431034
Median Absolute Deviation (MAD)0
Skewness3.5575815
Sum1412
Variance55.449542
MonotonicityNot monotonic
2023-12-13T05:56:55.202798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 339
73.1%
1 16
 
3.4%
7 11
 
2.4%
13 11
 
2.4%
4 9
 
1.9%
9 9
 
1.9%
2 8
 
1.7%
8 7
 
1.5%
5 6
 
1.3%
38 6
 
1.3%
Other values (17) 42
 
9.1%
ValueCountFrequency (%)
0 339
73.1%
1 16
 
3.4%
2 8
 
1.7%
3 3
 
0.6%
4 9
 
1.9%
5 6
 
1.3%
6 4
 
0.9%
7 11
 
2.4%
8 7
 
1.5%
9 9
 
1.9%
ValueCountFrequency (%)
60 1
 
0.2%
45 1
 
0.2%
38 6
1.3%
32 1
 
0.2%
30 1
 
0.2%
26 1
 
0.2%
25 1
 
0.2%
24 4
0.9%
21 2
 
0.4%
19 1
 
0.2%

관리시설수량
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0560345
Minimum0
Maximum51
Zeros145
Zeros (%)31.2%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2023-12-13T05:56:55.303307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q35
95-th percentile15.85
Maximum51
Range51
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.4547843
Coefficient of variation (CV)1.5914027
Kurtosis14.194444
Mean4.0560345
Median Absolute Deviation (MAD)2
Skewness3.2640463
Sum1882
Variance41.66424
MonotonicityNot monotonic
2023-12-13T05:56:55.395090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 145
31.2%
1 70
15.1%
2 50
 
10.8%
3 39
 
8.4%
4 34
 
7.3%
5 22
 
4.7%
6 19
 
4.1%
7 15
 
3.2%
14 9
 
1.9%
10 8
 
1.7%
Other values (20) 53
 
11.4%
ValueCountFrequency (%)
0 145
31.2%
1 70
15.1%
2 50
 
10.8%
3 39
 
8.4%
4 34
 
7.3%
5 22
 
4.7%
6 19
 
4.1%
7 15
 
3.2%
8 7
 
1.5%
9 6
 
1.3%
ValueCountFrequency (%)
51 1
0.2%
44 1
0.2%
38 1
0.2%
37 1
0.2%
36 1
0.2%
31 1
0.2%
30 1
0.2%
27 1
0.2%
24 2
0.4%
23 1
0.2%

휴양시설수량
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.4051724
Minimum0
Maximum81
Zeros211
Zeros (%)45.5%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2023-12-13T05:56:55.502884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q38
95-th percentile31
Maximum81
Range81
Interquartile range (IQR)8

Descriptive statistics

Standard deviation11.452958
Coefficient of variation (CV)1.7880796
Kurtosis9.7851192
Mean6.4051724
Median Absolute Deviation (MAD)2
Skewness2.8563095
Sum2972
Variance131.17025
MonotonicityNot monotonic
2023-12-13T05:56:55.613740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 211
45.5%
2 39
 
8.4%
4 22
 
4.7%
6 19
 
4.1%
1 18
 
3.9%
3 16
 
3.4%
5 14
 
3.0%
9 12
 
2.6%
11 10
 
2.2%
8 9
 
1.9%
Other values (38) 94
20.3%
ValueCountFrequency (%)
0 211
45.5%
1 18
 
3.9%
2 39
 
8.4%
3 16
 
3.4%
4 22
 
4.7%
5 14
 
3.0%
6 19
 
4.1%
7 8
 
1.7%
8 9
 
1.9%
9 12
 
2.6%
ValueCountFrequency (%)
81 1
0.2%
67 1
0.2%
65 1
0.2%
57 1
0.2%
55 1
0.2%
53 2
0.4%
50 1
0.2%
43 2
0.4%
40 2
0.4%
39 2
0.4%

산책로평균폭
Real number (ℝ)

Distinct71
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6049569
Minimum0.5
Maximum19.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2023-12-13T05:56:55.768190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile1
Q11.3
median1.9
Q33
95-th percentile6
Maximum19.9
Range19.4
Interquartile range (IQR)1.7

Descriptive statistics

Standard deviation2.215125
Coefficient of variation (CV)0.85034997
Kurtosis17.284077
Mean2.6049569
Median Absolute Deviation (MAD)0.7
Skewness3.4892687
Sum1208.7
Variance4.9067788
MonotonicityNot monotonic
2023-12-13T05:56:55.911801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.2 33
 
7.1%
1.0 29
 
6.2%
1.5 26
 
5.6%
1.4 23
 
5.0%
2.0 21
 
4.5%
1.3 20
 
4.3%
1.8 19
 
4.1%
1.1 18
 
3.9%
2.5 16
 
3.4%
1.7 16
 
3.4%
Other values (61) 243
52.4%
ValueCountFrequency (%)
0.5 2
 
0.4%
0.6 1
 
0.2%
0.7 1
 
0.2%
0.8 5
 
1.1%
0.9 12
 
2.6%
1.0 29
6.2%
1.1 18
3.9%
1.2 33
7.1%
1.3 20
4.3%
1.4 23
5.0%
ValueCountFrequency (%)
19.9 1
0.2%
16.6 1
0.2%
16.3 1
0.2%
14.2 1
0.2%
12.1 1
0.2%
11.9 1
0.2%
10.1 1
0.2%
10.0 2
0.4%
9.9 2
0.4%
9.8 1
0.2%

산책로구간거리
Real number (ℝ)

Distinct430
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean164.10129
Minimum6.4
Maximum1989
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2023-12-13T05:56:56.048316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.4
5-th percentile16.105
Q143.475
median98.3
Q3200.65
95-th percentile500.53
Maximum1989
Range1982.6
Interquartile range (IQR)157.175

Descriptive statistics

Standard deviation202.23234
Coefficient of variation (CV)1.2323629
Kurtosis18.433756
Mean164.10129
Median Absolute Deviation (MAD)66.3
Skewness3.423304
Sum76143
Variance40897.921
MonotonicityNot monotonic
2023-12-13T05:56:56.199713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42.1 3
 
0.6%
65.7 3
 
0.6%
18.0 3
 
0.6%
18.5 3
 
0.6%
22.5 3
 
0.6%
90.0 2
 
0.4%
313.7 2
 
0.4%
50.7 2
 
0.4%
7.0 2
 
0.4%
60.0 2
 
0.4%
Other values (420) 439
94.6%
ValueCountFrequency (%)
6.4 1
0.2%
6.6 1
0.2%
7.0 2
0.4%
7.7 2
0.4%
8.5 1
0.2%
9.6 1
0.2%
10.2 1
0.2%
10.4 1
0.2%
10.7 1
0.2%
11.2 1
0.2%
ValueCountFrequency (%)
1989.0 1
0.2%
1117.9 1
0.2%
1029.0 1
0.2%
1020.4 1
0.2%
964.3 1
0.2%
941.7 1
0.2%
927.6 1
0.2%
912.3 1
0.2%
896.4 1
0.2%
877.2 1
0.2%

산책로설명
Text

UNIQUE 

Distinct464
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2023-12-13T05:56:56.446067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length91
Median length61
Mean length36.306034
Min length14

Characters and Unicode

Total characters16846
Distinct characters438
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique464 ?
Unique (%)100.0%

Sample

1st row음수대 앞과 나무계단 사이
2nd row벽천광장 남쪽 돌계단 앞에서 도로변으로 이어지는 길
3rd row수성구민운동장 9시방향 입구와 게이트볼장 사이
4th row시민광장 둘레 산책로(공사장 바리케이트로 정확한지 알수없음)
5th row상서고등학교 건너 두류공원 입구에서 두류제1여울길로 향하는 길
ValueCountFrequency (%)
사이 221
 
5.4%
길 192
 
4.7%
앞 61
 
1.5%
방향 55
 
1.4%
갈림길 54
 
1.3%
공원 49
 
1.2%
옆 46
 
1.1%
잇는 45
 
1.1%
입구 44
 
1.1%
주차장 37
 
0.9%
Other values (1255) 3258
80.2%
2023-12-13T05:56:56.857006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3598
 
21.4%
길 507
 
3.0%
장 500
 
3.0%
이 376
 
2.2%
사 329
 
2.0%
지 271
 
1.6%
는 271
 
1.6%
서 257
 
1.5%
과 253
 
1.5%
로 240
 
1.4%
Other values (428) 10244
60.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12851
76.3%
Space Separator 3598
 
21.4%
Decimal Number 308
 
1.8%
Lowercase Letter 53
 
0.3%
Other Punctuation 10
 
0.1%
Uppercase Letter 10
 
0.1%
Close Punctuation 7
 
< 0.1%
Open Punctuation 7
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
길 507
 
3.9%
장 500
 
3.9%
이 376
 
2.9%
사 329
 
2.6%
지 271
 
2.1%
는 271
 
2.1%
서 257
 
2.0%
과 253
 
2.0%
로 240
 
1.9%
쪽 229
 
1.8%
Other values (393) 9618
74.8%
Decimal Number
ValueCountFrequency (%)
2 74
24.0%
1 69
22.4%
0 48
15.6%
3 30
9.7%
6 22
 
7.1%
5 22
 
7.1%
9 16
 
5.2%
4 14
 
4.5%
7 7
 
2.3%
8 6
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
m 33
62.3%
c 4
 
7.5%
t 4
 
7.5%
v 4
 
7.5%
l 2
 
3.8%
o 2
 
3.8%
u 1
 
1.9%
r 1
 
1.9%
f 1
 
1.9%
k 1
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
T 2
20.0%
C 1
10.0%
D 1
10.0%
V 1
10.0%
A 1
10.0%
G 1
10.0%
E 1
10.0%
U 1
10.0%
K 1
10.0%
Other Punctuation
ValueCountFrequency (%)
. 6
60.0%
, 4
40.0%
Space Separator
ValueCountFrequency (%)
3598
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12851
76.3%
Common 3932
 
23.3%
Latin 63
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
길 507
 
3.9%
장 500
 
3.9%
이 376
 
2.9%
사 329
 
2.6%
지 271
 
2.1%
는 271
 
2.1%
서 257
 
2.0%
과 253
 
2.0%
로 240
 
1.9%
쪽 229
 
1.8%
Other values (393) 9618
74.8%
Latin
ValueCountFrequency (%)
m 33
52.4%
c 4
 
6.3%
t 4
 
6.3%
v 4
 
6.3%
T 2
 
3.2%
l 2
 
3.2%
o 2
 
3.2%
u 1
 
1.6%
r 1
 
1.6%
f 1
 
1.6%
Other values (9) 9
 
14.3%
Common
ValueCountFrequency (%)
3598
91.5%
2 74
 
1.9%
1 69
 
1.8%
0 48
 
1.2%
3 30
 
0.8%
6 22
 
0.6%
5 22
 
0.6%
9 16
 
0.4%
4 14
 
0.4%
7 7
 
0.2%
Other values (6) 32
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12851
76.3%
ASCII 3995
 
23.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3598
90.1%
2 74
 
1.9%
1 69
 
1.7%
0 48
 
1.2%
m 33
 
0.8%
3 30
 
0.8%
6 22
 
0.6%
5 22
 
0.6%
9 16
 
0.4%
4 14
 
0.4%
Other values (25) 69
 
1.7%
Hangul
ValueCountFrequency (%)
길 507
 
3.9%
장 500
 
3.9%
이 376
 
2.9%
사 329
 
2.6%
지 271
 
2.1%
는 271
 
2.1%
서 257
 
2.0%
과 253
 
2.0%
로 240
 
1.9%
쪽 229
 
1.8%
Other values (393) 9618
74.8%

위도
Real number (ℝ)

Distinct460
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.852035
Minimum35.813103
Maximum35.933041
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2023-12-13T05:56:57.003025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.813103
5-th percentile35.822642
Q135.830748
median35.849576
Q335.862814
95-th percentile35.895935
Maximum35.933041
Range0.11993742
Interquartile range (IQR)0.032065399

Descriptive statistics

Standard deviation0.026157533
Coefficient of variation (CV)0.0007295969
Kurtosis0.86843321
Mean35.852035
Median Absolute Deviation (MAD)0.017052793
Skewness1.0597214
Sum16635.344
Variance0.00068421654
MonotonicityNot monotonic
2023-12-13T05:56:57.135679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.8232192993 2
 
0.4%
35.9319000244 2
 
0.4%
35.8511161804 2
 
0.4%
35.8627624512 2
 
0.4%
35.8252698849 1
 
0.2%
35.824923643 1
 
0.2%
35.8603591919 1
 
0.2%
35.8601913452 1
 
0.2%
35.825253586 1
 
0.2%
35.860622406 1
 
0.2%
Other values (450) 450
97.0%
ValueCountFrequency (%)
35.8131031973 1
0.2%
35.8143236912 1
0.2%
35.8160018921 1
0.2%
35.8160702252 1
0.2%
35.8160717737 1
0.2%
35.816318512 1
0.2%
35.8170302867 1
0.2%
35.8171393101 1
0.2%
35.8174268007 1
0.2%
35.817453886 1
0.2%
ValueCountFrequency (%)
35.9330406189 1
0.2%
35.9328422546 1
0.2%
35.9327850342 1
0.2%
35.932739198 1
0.2%
35.9323616028 1
0.2%
35.9322433472 1
0.2%
35.9322166443 1
0.2%
35.9321212769 1
0.2%
35.9319839478 1
0.2%
35.9319000244 2
0.4%

경도
Real number (ℝ)

Distinct455
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.57668
Minimum128.46097
Maximum128.63567
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2023-12-13T05:56:57.269781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.46097
5-th percentile128.52831
Q1128.55441
median128.56342
Q3128.62183
95-th percentile128.63246
Maximum128.63567
Range0.17469788
Interquartile range (IQR)0.067417568

Descriptive statistics

Standard deviation0.037040824
Coefficient of variation (CV)0.00028808354
Kurtosis-0.63225211
Mean128.57668
Median Absolute Deviation (MAD)0.023883329
Skewness0.055929871
Sum59659.578
Variance0.0013720227
MonotonicityNot monotonic
2023-12-13T05:56:57.450972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.6304473877 2
 
0.4%
128.5837860107 2
 
0.4%
128.6307373047 2
 
0.4%
128.5181732178 2
 
0.4%
128.5851898193 2
 
0.4%
128.5186920166 2
 
0.4%
128.6317138672 2
 
0.4%
128.6036682129 2
 
0.4%
128.6304321289 2
 
0.4%
128.6294708252 1
 
0.2%
Other values (445) 445
95.9%
ValueCountFrequency (%)
128.4609680176 1
0.2%
128.4614710137 1
0.2%
128.4615020752 1
0.2%
128.4627990723 1
0.2%
128.5162353516 1
0.2%
128.5165100098 1
0.2%
128.5166473389 1
0.2%
128.5167999268 1
0.2%
128.517074585 1
0.2%
128.5172729492 1
0.2%
ValueCountFrequency (%)
128.6356658936 1
0.2%
128.6354522705 1
0.2%
128.634765625 1
0.2%
128.6346893311 1
0.2%
128.6342926025 1
0.2%
128.6341094971 1
0.2%
128.6340789795 1
0.2%
128.6337890625 1
0.2%
128.6337127686 1
0.2%
128.6336669922 1
0.2%

구간시점위도
Real number (ℝ)

Distinct460
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.852021
Minimum35.813577
Maximum35.933047
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2023-12-13T05:56:57.635869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.813577
5-th percentile35.822649
Q135.830672
median35.849422
Q335.86279
95-th percentile35.8957
Maximum35.933047
Range0.11946919
Interquartile range (IQR)0.032117931

Descriptive statistics

Standard deviation0.026111239
Coefficient of variation (CV)0.00072830592
Kurtosis0.89148959
Mean35.852021
Median Absolute Deviation (MAD)0.016891927
Skewness1.0685823
Sum16635.338
Variance0.00068179683
MonotonicityNot monotonic
2023-12-13T05:56:58.128689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.851387 2
 
0.4%
35.8903732 2
 
0.4%
35.8883171 2
 
0.4%
35.8614616 2
 
0.4%
35.8461532 1
 
0.2%
35.8890686 1
 
0.2%
35.8251647 1
 
0.2%
35.8251686 1
 
0.2%
35.8604164 1
 
0.2%
35.859745 1
 
0.2%
Other values (450) 450
97.0%
ValueCountFrequency (%)
35.8135774364 1
0.2%
35.815762066 1
0.2%
35.8162765 1
0.2%
35.8163604 1
0.2%
35.8168876542 1
0.2%
35.8171890699 1
0.2%
35.8173109304 1
0.2%
35.8173175579 1
0.2%
35.8179473 1
0.2%
35.8181882533 1
0.2%
ValueCountFrequency (%)
35.9330466217 1
0.2%
35.9329259606 1
0.2%
35.9328074717 1
0.2%
35.9327347351 1
0.2%
35.9326548964 1
0.2%
35.932567857 1
0.2%
35.9322419949 1
0.2%
35.9319966289 1
0.2%
35.9319617712 1
0.2%
35.9319565622 1
0.2%

구간시점경도
Real number (ℝ)

Distinct445
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.57664
Minimum128.4616
Maximum128.63597
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2023-12-13T05:56:58.311186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.4616
5-th percentile128.52758
Q1128.55426
median128.56325
Q3128.62148
95-th percentile128.63236
Maximum128.63597
Range0.17437209
Interquartile range (IQR)0.067223021

Descriptive statistics

Standard deviation0.037004878
Coefficient of variation (CV)0.00028780404
Kurtosis-0.64147579
Mean128.57664
Median Absolute Deviation (MAD)0.0236965
Skewness0.058179347
Sum59659.563
Variance0.001369361
MonotonicityNot monotonic
2023-12-13T05:56:58.479058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.585037 3
 
0.6%
128.622833 3
 
0.6%
128.630432 2
 
0.4%
128.559494 2
 
0.4%
128.539474 2
 
0.4%
128.536544 2
 
0.4%
128.517761 2
 
0.4%
128.534667 2
 
0.4%
128.518021 2
 
0.4%
128.633041 2
 
0.4%
Other values (435) 442
95.3%
ValueCountFrequency (%)
128.4615989069 1
0.2%
128.4616279919 1
0.2%
128.4620053554 1
0.2%
128.4633972552 1
0.2%
128.515121 1
0.2%
128.516815 1
0.2%
128.517089 1
0.2%
128.517303 1
0.2%
128.517731 1
0.2%
128.517761 2
0.4%
ValueCountFrequency (%)
128.635971 1
0.2%
128.635665 1
0.2%
128.635041 1
0.2%
128.634704 1
0.2%
128.634277 1
0.2%
128.634094 1
0.2%
128.633972 1
0.2%
128.633712 1
0.2%
128.633636 1
0.2%
128.633575 1
0.2%

구간시점위치
Text

Distinct451
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2023-12-13T05:56:58.860403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length37
Mean length22.209052
Min length4

Characters and Unicode

Total characters10305
Distinct characters388
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique439 ?
Unique (%)94.6%

Sample

1st row범어공원 음수대 앞
2nd row벽천광장 남쪽 돌계단 앞
3rd row수성구민운동장 9시방향 입구
4th row시민광장 입구
5th row상서중고등학교 맞은편 두류공원 오르막 입구(아스팔트)
ValueCountFrequency (%)
앞 65
 
2.6%
입구 63
 
2.5%
갈림길 57
 
2.2%
지점 53
 
2.1%
방향 45
 
1.8%
옆 43
 
1.7%
공원 37
 
1.5%
있는 29
 
1.1%
주차장 29
 
1.1%
계단 24
 
0.9%
Other values (823) 2097
82.5%
2023-12-13T05:56:59.402946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2078
 
20.2%
장 317
 
3.1%
길 211
 
2.0%
는 179
 
1.7%
서 168
 
1.6%
쪽 167
 
1.6%
동 149
 
1.4%
구 145
 
1.4%
지 143
 
1.4%
원 138
 
1.3%
Other values (378) 6610
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7959
77.2%
Space Separator 2078
 
20.2%
Decimal Number 187
 
1.8%
Lowercase Letter 50
 
0.5%
Uppercase Letter 22
 
0.2%
Other Punctuation 5
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 317
 
4.0%
길 211
 
2.7%
는 179
 
2.2%
서 168
 
2.1%
쪽 167
 
2.1%
동 149
 
1.9%
구 145
 
1.8%
지 143
 
1.8%
원 138
 
1.7%
공 131
 
1.6%
Other values (344) 6211
78.0%
Lowercase Letter
ValueCountFrequency (%)
m 18
36.0%
l 6
 
12.0%
o 6
 
12.0%
c 5
 
10.0%
u 3
 
6.0%
f 3
 
6.0%
r 3
 
6.0%
v 2
 
4.0%
t 2
 
4.0%
k 1
 
2.0%
Decimal Number
ValueCountFrequency (%)
2 47
25.1%
1 42
22.5%
0 26
13.9%
3 23
12.3%
6 12
 
6.4%
5 11
 
5.9%
9 10
 
5.3%
4 10
 
5.3%
7 4
 
2.1%
8 2
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
U 4
18.2%
E 4
18.2%
C 3
13.6%
A 3
13.6%
D 3
13.6%
G 3
13.6%
V 1
 
4.5%
T 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
, 2
40.0%
Space Separator
ValueCountFrequency (%)
2078
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7959
77.2%
Common 2274
 
22.1%
Latin 72
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 317
 
4.0%
길 211
 
2.7%
는 179
 
2.2%
서 168
 
2.1%
쪽 167
 
2.1%
동 149
 
1.9%
구 145
 
1.8%
지 143
 
1.8%
원 138
 
1.7%
공 131
 
1.6%
Other values (344) 6211
78.0%
Latin
ValueCountFrequency (%)
m 18
25.0%
l 6
 
8.3%
o 6
 
8.3%
c 5
 
6.9%
U 4
 
5.6%
E 4
 
5.6%
C 3
 
4.2%
A 3
 
4.2%
D 3
 
4.2%
u 3
 
4.2%
Other values (9) 17
23.6%
Common
ValueCountFrequency (%)
2078
91.4%
2 47
 
2.1%
1 42
 
1.8%
0 26
 
1.1%
3 23
 
1.0%
6 12
 
0.5%
5 11
 
0.5%
9 10
 
0.4%
4 10
 
0.4%
7 4
 
0.2%
Other values (5) 11
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7959
77.2%
ASCII 2346
 
22.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2078
88.6%
2 47
 
2.0%
1 42
 
1.8%
0 26
 
1.1%
3 23
 
1.0%
m 18
 
0.8%
6 12
 
0.5%
5 11
 
0.5%
9 10
 
0.4%
4 10
 
0.4%
Other values (24) 69
 
2.9%
Hangul
ValueCountFrequency (%)
장 317
 
4.0%
길 211
 
2.7%
는 179
 
2.2%
서 168
 
2.1%
쪽 167
 
2.1%
동 149
 
1.9%
구 145
 
1.8%
지 143
 
1.8%
원 138
 
1.7%
공 131
 
1.6%
Other values (344) 6211
78.0%

구간종점위도
Real number (ℝ)

Distinct456
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.852017
Minimum35.812418
Maximum35.933218
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2023-12-13T05:56:59.549910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.812418
5-th percentile35.822557
Q135.830525
median35.849549
Q335.862817
95-th percentile35.896065
Maximum35.933218
Range0.12080002
Interquartile range (IQR)0.032291425

Descriptive statistics

Standard deviation0.026211984
Coefficient of variation (CV)0.000731116
Kurtosis0.86098083
Mean35.852017
Median Absolute Deviation (MAD)0.017012325
Skewness1.0514575
Sum16635.336
Variance0.00068706809
MonotonicityNot monotonic
2023-12-13T05:56:59.722707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.8304443 2
 
0.4%
35.8293151 2
 
0.4%
35.8300857 2
 
0.4%
35.830532 2
 
0.4%
35.8902282 2
 
0.4%
35.8492507 2
 
0.4%
35.8509521 2
 
0.4%
35.8907699 2
 
0.4%
35.8604354 1
 
0.2%
35.8618507 1
 
0.2%
Other values (446) 446
96.1%
ValueCountFrequency (%)
35.8124175303 1
0.2%
35.8140458715 1
0.2%
35.8147335434 1
0.2%
35.8153533 1
0.2%
35.8160385565 1
0.2%
35.8161572568 1
0.2%
35.8163795 1
0.2%
35.8167991 1
0.2%
35.8169501985 1
0.2%
35.81731869 1
0.2%
ValueCountFrequency (%)
35.93321755 1
0.2%
35.9330169284 1
0.2%
35.9327965756 1
0.2%
35.9326201237 1
0.2%
35.9324832795 1
0.2%
35.9324832133 1
0.2%
35.932307413 1
0.2%
35.9322247306 1
0.2%
35.9319667401 1
0.2%
35.931964094 1
0.2%

구간종점경도
Real number (ℝ)

Distinct447
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.57668
Minimum128.45971
Maximum128.63676
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2023-12-13T05:56:59.877567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.45971
5-th percentile128.5272
Q1128.55438
median128.56342
Q3128.62181
95-th percentile128.63254
Maximum128.63676
Range0.17704971
Interquartile range (IQR)0.067431751

Descriptive statistics

Standard deviation0.037101864
Coefficient of variation (CV)0.00028855826
Kurtosis-0.61023517
Mean128.57668
Median Absolute Deviation (MAD)0.0237885
Skewness0.04912893
Sum59659.581
Variance0.0013765483
MonotonicityNot monotonic
2023-12-13T05:57:00.031186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.622817 2
 
0.4%
128.556488 2
 
0.4%
128.559249 2
 
0.4%
128.632476 2
 
0.4%
128.537751 2
 
0.4%
128.630447 2
 
0.4%
128.630401 2
 
0.4%
128.540893 2
 
0.4%
128.632827 2
 
0.4%
128.602996 2
 
0.4%
Other values (437) 444
95.7%
ValueCountFrequency (%)
128.4597142915 1
0.2%
128.4604169031 1
0.2%
128.4610901849 1
0.2%
128.461779098 1
0.2%
128.515274 1
0.2%
128.515335 1
0.2%
128.515518 1
0.2%
128.517089 1
0.2%
128.517105 1
0.2%
128.517471 1
0.2%
ValueCountFrequency (%)
128.636764 1
0.2%
128.635696 1
0.2%
128.635452 1
0.2%
128.634353 1
0.2%
128.634262 1
0.2%
128.634216 1
0.2%
128.6341519944 1
0.2%
128.634124 1
0.2%
128.634063 1
0.2%
128.634017 1
0.2%

구간종점위치
Text

Distinct456
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2023-12-13T05:57:00.396017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length38
Mean length21.288793
Min length5

Characters and Unicode

Total characters9878
Distinct characters412
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique449 ?
Unique (%)96.8%

Sample

1st row나무계단 앞
2nd row벽천광장 도로변 인도와 벽천광장 남쪽 계단으로 가는 오르막길이 만나는 지점
3rd row수성구민운동장과 게이트볼장 사이 계단 앞
4th row두류공원 관리소 안내방향 횡단보도
5th row상서고등학교 맞은편 두류공원 오르막 입구에서 두류제1여울길 합류지점
ValueCountFrequency (%)
지점 85
 
3.5%
앞 73
 
3.0%
입구 53
 
2.2%
방향 43
 
1.8%
갈림길 40
 
1.6%
공원 34
 
1.4%
있는 30
 
1.2%
옆 29
 
1.2%
만나는 26
 
1.1%
가는 25
 
1.0%
Other values (878) 2009
82.1%
2023-12-13T05:57:00.889307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1983
 
20.1%
장 295
 
3.0%
길 204
 
2.1%
는 200
 
2.0%
지 190
 
1.9%
구 150
 
1.5%
쪽 148
 
1.5%
점 141
 
1.4%
서 135
 
1.4%
동 130
 
1.3%
Other values (402) 6302
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7652
77.5%
Space Separator 1983
 
20.1%
Decimal Number 188
 
1.9%
Lowercase Letter 29
 
0.3%
Other Punctuation 8
 
0.1%
Uppercase Letter 8
 
0.1%
Open Punctuation 5
 
0.1%
Close Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 295
 
3.9%
길 204
 
2.7%
는 200
 
2.6%
지 190
 
2.5%
구 150
 
2.0%
쪽 148
 
1.9%
점 141
 
1.8%
서 135
 
1.8%
동 130
 
1.7%
원 127
 
1.7%
Other values (371) 5932
77.5%
Decimal Number
ValueCountFrequency (%)
1 44
23.4%
2 41
21.8%
0 24
12.8%
5 19
10.1%
3 14
 
7.4%
6 12
 
6.4%
9 11
 
5.9%
4 11
 
5.9%
7 8
 
4.3%
8 4
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
m 17
58.6%
t 2
 
6.9%
v 2
 
6.9%
o 2
 
6.9%
l 2
 
6.9%
c 1
 
3.4%
u 1
 
3.4%
f 1
 
3.4%
r 1
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
U 2
25.0%
K 1
12.5%
T 1
12.5%
G 1
12.5%
E 1
12.5%
A 1
12.5%
D 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 5
62.5%
. 3
37.5%
Space Separator
ValueCountFrequency (%)
1983
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7652
77.5%
Common 2189
 
22.2%
Latin 37
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 295
 
3.9%
길 204
 
2.7%
는 200
 
2.6%
지 190
 
2.5%
구 150
 
2.0%
쪽 148
 
1.9%
점 141
 
1.8%
서 135
 
1.8%
동 130
 
1.7%
원 127
 
1.7%
Other values (371) 5932
77.5%
Latin
ValueCountFrequency (%)
m 17
45.9%
t 2
 
5.4%
v 2
 
5.4%
U 2
 
5.4%
o 2
 
5.4%
l 2
 
5.4%
K 1
 
2.7%
T 1
 
2.7%
c 1
 
2.7%
G 1
 
2.7%
Other values (6) 6
 
16.2%
Common
ValueCountFrequency (%)
1983
90.6%
1 44
 
2.0%
2 41
 
1.9%
0 24
 
1.1%
5 19
 
0.9%
3 14
 
0.6%
6 12
 
0.5%
9 11
 
0.5%
4 11
 
0.5%
7 8
 
0.4%
Other values (5) 22
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7652
77.5%
ASCII 2226
 
22.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1983
89.1%
1 44
 
2.0%
2 41
 
1.8%
0 24
 
1.1%
5 19
 
0.9%
m 17
 
0.8%
3 14
 
0.6%
6 12
 
0.5%
9 11
 
0.5%
4 11
 
0.5%
Other values (21) 50
 
2.2%
Hangul
ValueCountFrequency (%)
장 295
 
3.9%
길 204
 
2.7%
는 200
 
2.6%
지 190
 
2.5%
구 150
 
2.0%
쪽 148
 
1.9%
점 141
 
1.8%
서 135
 
1.8%
동 130
 
1.7%
원 127
 
1.7%
Other values (371) 5932
77.5%

구간난이도
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
상
244 
하
111 
중
109 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row중
2nd row상
3rd row하
4th row중
5th row상

Common Values

ValueCountFrequency (%)
상 244
52.6%
하 111
23.9%
중 109
23.5%

Length

2023-12-13T05:57:01.056990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:57:01.161427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상 244
52.6%
하 111
23.9%
중 109
23.5%

산책로포장정보
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
복합
183 
포장
151 
비포장
100 
야자매트
30 

Length

Max length4
Median length2
Mean length2.3448276
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row복합
2nd row포장
3rd row비포장
4th row포장
5th row복합

Common Values

ValueCountFrequency (%)
복합 183
39.4%
포장 151
32.5%
비포장 100
21.6%
야자매트 30
 
6.5%

Length

2023-12-13T05:57:01.278400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:57:01.393483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복합 183
39.4%
포장 151
32.5%
비포장 100
21.6%
야자매트 30
 
6.5%

행정동
Categorical

Distinct12
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
대명9동
111 
성당동
82 
황금1동
46 
신암4동
41 
본동
38 
Other values (7)
146 

Length

Max length4
Median length4
Mean length3.6508621
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row황금1동
2nd row성당동
3rd row황금1동
4th row성당동
5th row성당동

Common Values

ValueCountFrequency (%)
대명9동 111
23.9%
성당동 82
17.7%
황금1동 46
9.9%
신암4동 41
 
8.8%
본동 38
 
8.2%
범어2동 32
 
6.9%
침산1동 26
 
5.6%
상중이동 26
 
5.6%
송현1동 25
 
5.4%
용산2동 19
 
4.1%
Other values (2) 18
 
3.9%

Length

2023-12-13T05:57:01.549577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대명9동 111
23.9%
성당동 82
17.7%
황금1동 46
9.9%
신암4동 41
 
8.8%
본동 38
 
8.2%
범어2동 32
 
6.9%
침산1동 26
 
5.6%
상중이동 26
 
5.6%
송현1동 25
 
5.4%
용산2동 19
 
4.1%
Other values (2) 18
 
3.9%

공원관리번호
Categorical

Distinct12
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
27200-00029
111 
27290-00179
82 
27260-00072
46 
27140-00001
41 
27290-00035
38 
Other values (7)
146 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row27260-00072
2nd row27290-00179
3rd row27260-00072
4th row27290-00179
5th row27290-00179

Common Values

ValueCountFrequency (%)
27200-00029 111
23.9%
27290-00179 82
17.7%
27260-00072 46
9.9%
27140-00001 41
 
8.8%
27290-00035 38
 
8.2%
27260-00073 32
 
6.9%
27230-00001 26
 
5.6%
27170-00003 26
 
5.6%
27290-00015 25
 
5.4%
27290-00014 19
 
4.1%
Other values (2) 18
 
3.9%

Length

2023-12-13T05:57:01.693047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
27200-00029 111
23.9%
27290-00179 82
17.7%
27260-00072 46
9.9%
27140-00001 41
 
8.8%
27290-00035 38
 
8.2%
27260-00073 32
 
6.9%
27230-00001 26
 
5.6%
27170-00003 26
 
5.6%
27290-00015 25
 
5.4%
27290-00014 19
 
4.1%
Other values (2) 18
 
3.9%

공원명
Categorical

Distinct12
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
앞산공원
111 
두류공원
82 
범어공원
46 
신암공원
41 
학산공원
38 
Other values (7)
146 

Length

Max length5
Median length4
Mean length4.0689655
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row범어공원
2nd row두류공원
3rd row범어공원
4th row두류공원
5th row두류공원

Common Values

ValueCountFrequency (%)
앞산공원 111
23.9%
두류공원 82
17.7%
범어공원 46
9.9%
신암공원 41
 
8.8%
학산공원 38
 
8.2%
야시골공원 32
 
6.9%
침산공원 26
 
5.6%
상리공원 26
 
5.6%
송현공원 25
 
5.4%
선원공원 19
 
4.1%
Other values (2) 18
 
3.9%

Length

2023-12-13T05:57:01.815707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
앞산공원 111
23.9%
두류공원 82
17.7%
범어공원 46
9.9%
신암공원 41
 
8.8%
학산공원 38
 
8.2%
야시골공원 32
 
6.9%
침산공원 26
 
5.6%
상리공원 26
 
5.6%
송현공원 25
 
5.4%
선원공원 19
 
4.1%
Other values (2) 18
 
3.9%

관리기관명
Categorical

Distinct8
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
대구광역시 앞산공원관리사무소
111 
대구광역시 두류공원관리사무소
82 
대구광역시 달서구청
82 
대구광역시 수성구청
78 
대구광역시 동구청
41 
Other values (3)
70 

Length

Max length15
Median length10
Mean length11.849138
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 앞산공원관리사무소 111
23.9%
대구광역시 두류공원관리사무소 82
17.7%
대구광역시 달서구청 82
17.7%
대구광역시 수성구청 78
16.8%
대구광역시 동구청 41
 
8.8%
대구광역시 북구청 40
 
8.6%
대구광역시 서구청 26
 
5.6%
대구광역시 달성군청 4
 
0.9%

Length

2023-12-13T05:57:01.953448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:57:02.069511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 464
50.0%
앞산공원관리사무소 111
 
12.0%
두류공원관리사무소 82
 
8.8%
달서구청 82
 
8.8%
수성구청 78
 
8.4%
동구청 41
 
4.4%
북구청 40
 
4.3%
서구청 26
 
2.8%
달성군청 4
 
0.4%

관리기관전화번호
Categorical

Distinct8
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
053-803-7430
111 
053-803-7480
82 
053-667-3631
82 
053-666-2865
78 
053-662-2863
41 
Other values (3)
70 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row053-666-2865
2nd row053-803-7480
3rd row053-666-2865
4th row053-803-7480
5th row053-803-7480

Common Values

ValueCountFrequency (%)
053-803-7430 111
23.9%
053-803-7480 82
17.7%
053-667-3631 82
17.7%
053-666-2865 78
16.8%
053-662-2863 41
 
8.8%
053-665-2864 40
 
8.6%
053-663-2866 26
 
5.6%
053-668-2850 4
 
0.9%

Length

2023-12-13T05:57:02.207237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:57:02.317057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
053-803-7430 111
23.9%
053-803-7480 82
17.7%
053-667-3631 82
17.7%
053-666-2865 78
16.8%
053-662-2863 41
 
8.8%
053-665-2864 40
 
8.6%
053-663-2866 26
 
5.6%
053-668-2850 4
 
0.9%

구간시점사진
Text

UNIQUE 

Distinct464
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2023-12-13T05:57:02.565075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters11600
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique464 ?
Unique (%)100.0%

Sample

1st row27260-00072-03-001-01.jpg
2nd row27290-00179-03-001-01.jpg
3rd row27260-00072-03-002-01.jpg
4th row27290-00179-03-002-01.jpg
5th row27290-00179-03-003-01.jpg
ValueCountFrequency (%)
27260-00072-03-001-01.jpg 1
 
0.2%
27140-00001-03-037-01.jpg 1
 
0.2%
27290-00035-03-006-01.jpg 1
 
0.2%
27290-00035-03-005-01.jpg 1
 
0.2%
27290-00035-03-004-01.jpg 1
 
0.2%
27260-00073-03-024-01.jpg 1
 
0.2%
27260-00073-03-023-01.jpg 1
 
0.2%
27290-00035-03-003-01.jpg 1
 
0.2%
27260-00073-03-022-01.jpg 1
 
0.2%
27290-00035-03-002-01.jpg 1
 
0.2%
Other values (454) 454
97.8%
2023-12-13T05:57:02.916109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3526
30.4%
- 1856
16.0%
2 1145
 
9.9%
1 900
 
7.8%
7 721
 
6.2%
3 705
 
6.1%
. 464
 
4.0%
j 464
 
4.0%
p 464
 
4.0%
g 464
 
4.0%
Other values (5) 891
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7888
68.0%
Dash Punctuation 1856
 
16.0%
Lowercase Letter 1392
 
12.0%
Other Punctuation 464
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3526
44.7%
2 1145
 
14.5%
1 900
 
11.4%
7 721
 
9.1%
3 705
 
8.9%
9 409
 
5.2%
4 152
 
1.9%
6 144
 
1.8%
5 130
 
1.6%
8 56
 
0.7%
Lowercase Letter
ValueCountFrequency (%)
j 464
33.3%
p 464
33.3%
g 464
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 1856
100.0%
Other Punctuation
ValueCountFrequency (%)
. 464
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10208
88.0%
Latin 1392
 
12.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3526
34.5%
- 1856
18.2%
2 1145
 
11.2%
1 900
 
8.8%
7 721
 
7.1%
3 705
 
6.9%
. 464
 
4.5%
9 409
 
4.0%
4 152
 
1.5%
6 144
 
1.4%
Other values (2) 186
 
1.8%
Latin
ValueCountFrequency (%)
j 464
33.3%
p 464
33.3%
g 464
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3526
30.4%
- 1856
16.0%
2 1145
 
9.9%
1 900
 
7.8%
7 721
 
6.2%
3 705
 
6.1%
. 464
 
4.0%
j 464
 
4.0%
p 464
 
4.0%
g 464
 
4.0%
Other values (5) 891
 
7.7%

구간종점사진
Text

UNIQUE 

Distinct464
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2023-12-13T05:57:03.164705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters11600
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique464 ?
Unique (%)100.0%

Sample

1st row27260-00072-03-001-02.jpg
2nd row27290-00179-03-001-02.jpg
3rd row27260-00072-03-002-02.jpg
4th row27290-00179-03-002-02.jpg
5th row27290-00179-03-003-02.jpg
ValueCountFrequency (%)
27260-00072-03-001-02.jpg 1
 
0.2%
27140-00001-03-037-02.jpg 1
 
0.2%
27290-00035-03-006-02.jpg 1
 
0.2%
27290-00035-03-005-02.jpg 1
 
0.2%
27290-00035-03-004-02.jpg 1
 
0.2%
27260-00073-03-024-02.jpg 1
 
0.2%
27260-00073-03-023-02.jpg 1
 
0.2%
27290-00035-03-003-02.jpg 1
 
0.2%
27260-00073-03-022-02.jpg 1
 
0.2%
27290-00035-03-002-02.jpg 1
 
0.2%
Other values (454) 454
97.8%
2023-12-13T05:57:03.541430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3526
30.4%
- 1856
16.0%
2 1609
13.9%
7 721
 
6.2%
3 705
 
6.1%
. 464
 
4.0%
j 464
 
4.0%
p 464
 
4.0%
g 464
 
4.0%
1 436
 
3.8%
Other values (5) 891
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7888
68.0%
Dash Punctuation 1856
 
16.0%
Lowercase Letter 1392
 
12.0%
Other Punctuation 464
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3526
44.7%
2 1609
20.4%
7 721
 
9.1%
3 705
 
8.9%
1 436
 
5.5%
9 409
 
5.2%
4 152
 
1.9%
6 144
 
1.8%
5 130
 
1.6%
8 56
 
0.7%
Lowercase Letter
ValueCountFrequency (%)
j 464
33.3%
p 464
33.3%
g 464
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 1856
100.0%
Other Punctuation
ValueCountFrequency (%)
. 464
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10208
88.0%
Latin 1392
 
12.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3526
34.5%
- 1856
18.2%
2 1609
15.8%
7 721
 
7.1%
3 705
 
6.9%
. 464
 
4.5%
1 436
 
4.3%
9 409
 
4.0%
4 152
 
1.5%
6 144
 
1.4%
Other values (2) 186
 
1.8%
Latin
ValueCountFrequency (%)
j 464
33.3%
p 464
33.3%
g 464
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3526
30.4%
- 1856
16.0%
2 1609
13.9%
7 721
 
6.2%
3 705
 
6.1%
. 464
 
4.0%
j 464
 
4.0%
p 464
 
4.0%
g 464
 
4.0%
1 436
 
3.8%
Other values (5) 891
 
7.7%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2022-12-09
464 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-09
2nd row2022-12-09
3rd row2022-12-09
4th row2022-12-09
5th row2022-12-09

Common Values

ValueCountFrequency (%)
2022-12-09 464
100.0%

Length

2023-12-13T05:57:03.733706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:57:03.837304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-09 464
100.0%

Sample

관리번호위치명위치구분도로명주소지번주소편익시설수량체육시설수량관리시설수량휴양시설수량산책로평균폭산책로구간거리산책로설명위도경도구간시점위도구간시점경도구간시점위치구간종점위도구간종점경도구간종점위치구간난이도산책로포장정보행정동공원관리번호공원명관리기관명관리기관전화번호구간시점사진구간종점사진데이터기준일
027260-00072-03-001범어공원근린공원<NA>대구광역시 수성구 황금동 산 1910003.2120.0음수대 앞과 나무계단 사이35.846523128.63012735.846153128.630432범어공원 음수대 앞35.847187128.629898나무계단 앞중복합황금1동27260-00072범어공원대구광역시 수성구청053-666-286527260-00072-03-001-01.jpg27260-00072-03-001-02.jpg2022-12-09
127290-00179-03-001두류공원근린공원<NA>대구광역시 달서구 성당동 산 198-100105.020.1벽천광장 남쪽 돌계단 앞에서 도로변으로 이어지는 길35.850803128.55403235.85074128.554056벽천광장 남쪽 돌계단 앞35.850887128.554018벽천광장 도로변 인도와 벽천광장 남쪽 계단으로 가는 오르막길이 만나는 지점상포장성당동27290-00179두류공원대구광역시 두류공원관리사무소053-803-748027290-00179-03-001-01.jpg27290-00179-03-001-02.jpg2022-12-09
227260-00072-03-002범어공원근린공원<NA>대구광역시 수성구 황금동 산 19002134.1109.6수성구민운동장 9시방향 입구와 게이트볼장 사이35.849766128.62916635.850204128.629165수성구민운동장 9시방향 입구35.849297128.629119수성구민운동장과 게이트볼장 사이 계단 앞하비포장황금1동27260-00072범어공원대구광역시 수성구청053-666-286527260-00072-03-002-01.jpg27260-00072-03-002-02.jpg2022-12-09
327290-00179-03-002두류공원근린공원<NA>대구광역시 달서구 성당동 산 198-1001403.7381.6시민광장 둘레 산책로(공사장 바리케이트로 정확한지 알수없음)35.849821128.56168135.850338128.560638시민광장 입구35.851646128.563217두류공원 관리소 안내방향 횡단보도중포장성당동27290-00179두류공원대구광역시 두류공원관리사무소053-803-748027290-00179-03-002-01.jpg27290-00179-03-002-02.jpg2022-12-09
427290-00179-03-003두류공원근린공원<NA>대구광역시 달서구 성당동 산 198-12327406.9130.3상서고등학교 건너 두류공원 입구에서 두류제1여울길로 향하는 길35.84613128.55219935.846497128.551773상서중고등학교 맞은편 두류공원 오르막 입구(아스팔트)35.845964128.552996상서고등학교 맞은편 두류공원 오르막 입구에서 두류제1여울길 합류지점상복합성당동27290-00179두류공원대구광역시 두류공원관리사무소053-803-748027290-00179-03-003-01.jpg27290-00179-03-003-02.jpg2022-12-09
527260-00072-03-003범어공원근린공원<NA>대구광역시 수성구 황금동 산 1908582.6238.8북성교회 12시방향 에서 체력단련장 사잇길35.842558128.62763435.841244128.627517북성교회 등산로 12시 방향35.842819128.627685체력단련장 입구하복합황금1동27260-00072범어공원대구광역시 수성구청053-666-286527260-00072-03-003-01.jpg27260-00072-03-003-02.jpg2022-12-09
627290-00179-03-004두류공원근린공원<NA>대구광역시 달서구 성당동 산 198-100304.746.0벽천광장에서 야외음악당 잔디광장 서편으로 올라가는 계단35.850542128.55413835.850407128.554198야외음악당 잔디광장 서편에서 벽천광장으로 내려가는 계단 입구35.850722128.554065벽천광장 남편 계단아래상포장성당동27290-00179두류공원대구광역시 두류공원관리사무소053-803-748027290-00179-03-004-01.jpg27290-00179-03-004-02.jpg2022-12-09
727290-00179-03-005두류공원근린공원<NA>대구광역시 달서구 성당동 산 198-1113364.940.8상서고등학교건너 버스정류장에서 베드민턴장으로 들어가는 길35.84703128.55211635.847162128.552009상서고등학교건너 버스정류장 북향으로 옆쪽 입구35.846955128.552289상서고등학교건너 버스정류장 동편 배드민턴장 입구중비포장성당동27290-00179두류공원대구광역시 두류공원관리사무소053-803-748027290-00179-03-005-01.jpg27290-00179-03-005-02.jpg2022-12-09
827710-00037-03-001다사공원근린공원<NA>대구광역시 달성군 다사읍 매곡리 1515012991.2287.0다사공원 동쪽 광장에서 공원을 가로질러 공원 남쪽 출입구를 잇는 길35.866463128.46279935.866315128.463397다사공원 동쪽 광장 서편의 나무계단 아래35.865702128.461779다사공원 남쪽 국화마을 방면 파고라 나무계단을 올라 공원 안내판 옆 나무계단상복합다사읍27710-00037다사공원대구광역시 달성군청053-668-285027710-00037-03-001-01.jpg27710-00037-03-001-02.jpg2022-12-09
927290-00179-03-006두류공원근린공원<NA>대구광역시 달서구 성당동 산 198-12022434.5368.0두류공원 관리소 안내방향 횡단보도부터 두류공원 입구 비석까지의 길35.850822128.56477435.851597128.563308두류공원 관리소 안내방향 횡단보도 지점35.849094128.565093두류공원 비석중포장성당동27290-00179두류공원대구광역시 두류공원관리사무소053-803-748027290-00179-03-006-01.jpg27290-00179-03-006-02.jpg2022-12-09
관리번호위치명위치구분도로명주소지번주소편익시설수량체육시설수량관리시설수량휴양시설수량산책로평균폭산책로구간거리산책로설명위도경도구간시점위도구간시점경도구간시점위치구간종점위도구간종점경도구간종점위치구간난이도산책로포장정보행정동공원관리번호공원명관리기관명관리기관전화번호구간시점사진구간종점사진데이터기준일
45427290-00035-03-037학산공원근린공원<NA>대구광역시 달서구 본동 산 5810061.4117.7운동장 남측과 등산 진입로 야자매트 사이의 둘레길35.830999128.53966135.831199128.538996운동장 가운데 남쪽 나무로 둘러진 조성길35.831217128.53901운동장 가운데 남쪽과 화장실 우측하비포장본동27290-00035학산공원대구광역시 달서구청053-667-363127290-00035-03-037-01.jpg27290-00035-03-037-02.jpg2022-12-09
45527290-00014-03-017선원공원근린공원<NA>대구광역시 달서구 용산동 505-210321.244.6스카이스테이션과 화장실 옆 나무다리와 짚라인 동편 나무다리 사이35.862209128.51808235.86224128.518021스카이스테이션과 화장실 옆 나무다리35.861893128.517944짚라인 동편 나무다리하포장용산2동27290-00014선원공원대구광역시 달서구청053-667-363127290-00014-03-017-01.jpg27290-00014-03-017-02.jpg2022-12-09
45627260-00073-03-028야시골공원근린공원<NA>대구광역시 수성구 범어동 산 2500001.160.6범어배수지 운동장 11시방향 복합운동기구 옆과 운동장 1시방향 국가보안시설물을 연결하는 야자매트로된 길35.861801128.62995935.861618128.629761범어배수지 개방안내판 위 운동장 11시방향 복합운동기구 옆 3시방향 야자매트길 앞35.861874128.630325범어배수지 운동장 1시방향 국가보안시설물 가는 야자매트로된 갈림길 앞하야자매트범어2동27260-00073야시골공원대구광역시 수성구청053-666-286527260-00073-03-028-01.jpg27260-00073-03-028-02.jpg2022-12-09
45727290-00035-03-038학산공원근린공원<NA>대구광역시 달서구 본동 산 58001121.918.9학산공원 운동장 옆 주차장 북동쪽 인도로 나가는 길35.832859128.53883435.832783128.538787학산공원 운동장 옆 주차장 북동쪽 인도로 나가는 길35.832909128.538803서광교회 길건너 인도로 빠지는 지점하포장본동27290-00035학산공원대구광역시 달서구청053-667-363127290-00035-03-038-01.jpg27290-00035-03-038-02.jpg2022-12-09
45827290-00014-03-018선원공원근린공원<NA>대구광역시 달서구 용산동 505-210701.398.5에어건 옆에 있는 성산고등학교 가는 샛길과 성산고등학교와 병암서원 갈림길 사이35.862762128.51806635.862656128.517791에어건 옆에 있는 성산고등학교 가는 샛길 지점35.862839128.518753성산고등학교와 병암서원 갈림길 지점상복합용산2동27290-00014선원공원대구광역시 달서구청053-667-363127290-00014-03-018-01.jpg27290-00014-03-018-02.jpg2022-12-09
45927290-00014-03-019선원공원근린공원<NA>대구광역시 달서구 용산동 505-210501.4264.7화장실 맞은편 비포장된 길과 선원초등학교 뒤편 주차장 와룡산 정상 표지판 앞 사이35.862598128.51664735.862736128.517761화장실 맞은편 비포장된 지점35.862137128.515518선원초등학교 뒤편 주차장 와룡산 정상 표지판 앞 지점상복합용산2동27290-00014선원공원대구광역시 달서구청053-667-363127290-00014-03-019-01.jpg27290-00014-03-019-02.jpg2022-12-09
46027260-00073-03-029야시골공원근린공원<NA>대구광역시 수성구 범어동 산 2500101.232.7다목적광장 12시방향 나무계단 방향 에어건과 다목적광장 9시방향 나무계단 방향 에어건 사이35.864655128.63230935.864845128.632476다목적광장 12시방향 나무계단 방향 에어건 앞35.864655128.632401다목적광장 9시방향 나무계단 방향 에어건 앞하비포장범어2동27260-00073야시골공원대구광역시 수성구청053-666-286527260-00073-03-029-01.jpg27260-00073-03-029-02.jpg2022-12-09
46127260-00073-03-030야시골공원근린공원<NA>대구광역시 수성구 범어동 산 2500101.1197.3다목적광장 9시방향 나무계단 에어건 맞은편 비포장 산책로와 다목적광장 6시방향 나무계단 난간 빠지는길 사이35.864014128.63278235.864532128.632553다목적광장 9시방향 나무계단 에어건 맞은편 범어공원 3시방향 가는 비포장 산책로35.863449128.632995다목적광장 6시방향 나무계단 난간 빠지는 입구하복합범어2동27260-00073야시골공원대구광역시 수성구청053-666-286527260-00073-03-030-01.jpg27260-00073-03-030-02.jpg2022-12-09
46227260-00073-03-031야시골공원근린공원<NA>대구광역시 수성구 범어동 산 2500031.8207.2다목적광장 6시방향 나무계단과 야자매트로된 산책로 좌측빠지는 길과 12시방향 나무계단 사이 황토맨발산책로35.864346128.63317935.863468128.633117다목적광장 6시방향 나무계단과 야자매트가 있는 산책로 좌측 빠지는 비포장 산책로 앞35.864929128.632476다목적광장 12시방향 나무계단 난간 빠지는길하비포장범어2동27260-00073야시골공원대구광역시 수성구청053-666-286527260-00073-03-031-01.jpg27260-00073-03-031-02.jpg2022-12-09
46327260-00073-03-032야시골공원근린공원<NA>대구광역시 수성구 범어동 산 2500101.853.7다목적광장 12시방향 나무계단 우측 빠지는 곳 앞과 전통놀이체험장 안내판 앞을 잇는 복합산책로35.865009128.63256835.864964128.632537다목적광장 12시방향 나무계단 우측 빠지는 나무계단앞35.865162128.632827전통놀이 체험장 안내판 앞상복합범어2동27260-00073야시골공원대구광역시 수성구청053-666-286527260-00073-03-032-01.jpg27260-00073-03-032-02.jpg2022-12-09