Overview

Dataset statistics

Number of variables21
Number of observations28
Missing cells27
Missing cells (%)4.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory176.7 B

Variable types

Text6
Categorical11
Numeric2
Boolean2

Dataset

Description대구광역시_중구_전동휠체어급속충전기
Author대구광역시 중구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15034533&dataSetDetailId=150345331b0c5a5c3d069_201910021425&provdMethod=FILE

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
시군구코드 has constant value ""Constant
소재지지번주소 has constant value ""Constant
공기주입가능여부 has constant value ""Constant
휴대전화충전가능여부 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지지번주소 has 27 (96.4%) missing valuesMissing
시설명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-08-15 07:38:14.541238
Analysis finished2023-08-15 07:38:15.080542
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-08-15T16:38:15.303055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length8.6071429
Min length4

Characters and Unicode

Total characters241
Distinct characters92
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row대구시청
2nd row대구광역시 중구청
3rd row대구광역시 중구 보건소
4th row남산기독교종합사회복지관(2대)
5th row남산종합사회복지관
ValueCountFrequency (%)
3호선 3
 
7.5%
대구광역시 2
 
5.0%
행정복지센터 2
 
5.0%
2호선 2
 
5.0%
1호선 2
 
5.0%
명덕역 1
 
2.5%
중앙로역 1
 
2.5%
반월당역(2대 1
 
2.5%
청라언덕역(2대 1
 
2.5%
대구시지체장애인협회 1
 
2.5%
Other values (24) 24
60.0%
2023-08-15T16:38:15.927705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
 
5.0%
대 11
 
4.6%
역 10
 
4.1%
원 8
 
3.3%
2 8
 
3.3%
구 7
 
2.9%
선 7
 
2.9%
호 7
 
2.9%
지 6
 
2.5%
산 5
 
2.1%
Other values (82) 160
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 207
85.9%
Decimal Number 15
 
6.2%
Space Separator 12
 
5.0%
Close Punctuation 3
 
1.2%
Open Punctuation 3
 
1.2%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 11
 
5.3%
역 10
 
4.8%
원 8
 
3.9%
구 7
 
3.4%
선 7
 
3.4%
호 7
 
3.4%
지 6
 
2.9%
산 5
 
2.4%
공 5
 
2.4%
관 5
 
2.4%
Other values (73) 136
65.7%
Decimal Number
ValueCountFrequency (%)
2 8
53.3%
3 3
 
20.0%
1 2
 
13.3%
4 1
 
6.7%
8 1
 
6.7%
Space Separator
ValueCountFrequency (%)
12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 207
85.9%
Common 34
 
14.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 11
 
5.3%
역 10
 
4.8%
원 8
 
3.9%
구 7
 
3.4%
선 7
 
3.4%
호 7
 
3.4%
지 6
 
2.9%
산 5
 
2.4%
공 5
 
2.4%
관 5
 
2.4%
Other values (73) 136
65.7%
Common
ValueCountFrequency (%)
12
35.3%
2 8
23.5%
3 3
 
8.8%
) 3
 
8.8%
( 3
 
8.8%
1 2
 
5.9%
4 1
 
2.9%
. 1
 
2.9%
8 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 207
85.9%
ASCII 34
 
14.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12
35.3%
2 8
23.5%
3 3
 
8.8%
) 3
 
8.8%
( 3
 
8.8%
1 2
 
5.9%
4 1
 
2.9%
. 1
 
2.9%
8 1
 
2.9%
Hangul
ValueCountFrequency (%)
대 11
 
5.3%
역 10
 
4.8%
원 8
 
3.9%
구 7
 
3.4%
선 7
 
3.4%
호 7
 
3.4%
지 6
 
2.9%
산 5
 
2.4%
공 5
 
2.4%
관 5
 
2.4%
Other values (73) 136
65.7%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
대구광역시
28 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 28
100.0%

Length

2023-08-15T16:38:16.143095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-15T16:38:16.309972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 28
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
중구
28 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중구 28
100.0%

Length

2023-08-15T16:38:16.496792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-15T16:38:16.666241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중구 28
100.0%

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
34100
28 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row34100
2nd row34100
3rd row34100
4th row34100
5th row34100

Common Values

ValueCountFrequency (%)
34100 28
100.0%

Length

2023-08-15T16:38:16.822042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-15T16:38:16.989654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
34100 28
100.0%

소재지도로명주소
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-08-15T16:38:17.305333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length19
Mean length17.142857
Min length14

Characters and Unicode

Total characters480
Distinct characters48
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

Unique28 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 공평로 88
2nd row대구광역시 중구 국채보상로 139길 1
3rd row대구광역시 중구 태평로 45
4th row대구광역시 중구 관덕정길 16
5th row대구광역시 중구 남산로7길 80
ValueCountFrequency (%)
대구광역시 28
24.3%
중구 28
24.3%
80 3
 
2.6%
달성로 3
 
2.6%
달구벌대로 2
 
1.7%
국채보상로 2
 
1.7%
남산로 2
 
1.7%
태평로 2
 
1.7%
중앙대로 2
 
1.7%
2 1
 
0.9%
Other values (42) 42
36.5%
2023-08-15T16:38:17.926587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
87
18.1%
구 58
12.1%
대 34
 
7.1%
중 30
 
6.2%
시 29
 
6.0%
광 28
 
5.8%
역 28
 
5.8%
로 25
 
5.2%
1 17
 
3.5%
0 13
 
2.7%
Other values (38) 131
27.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 313
65.2%
Space Separator 87
 
18.1%
Decimal Number 79
 
16.5%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 58
18.5%
대 34
10.9%
중 30
9.6%
시 29
9.3%
광 28
8.9%
역 28
8.9%
로 25
8.0%
길 9
 
2.9%
달 8
 
2.6%
성 8
 
2.6%
Other values (26) 56
17.9%
Decimal Number
ValueCountFrequency (%)
1 17
21.5%
0 13
16.5%
4 10
12.7%
2 8
10.1%
8 8
10.1%
3 6
 
7.6%
9 5
 
6.3%
5 5
 
6.3%
6 4
 
5.1%
7 3
 
3.8%
Space Separator
ValueCountFrequency (%)
87
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 313
65.2%
Common 167
34.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 58
18.5%
대 34
10.9%
중 30
9.6%
시 29
9.3%
광 28
8.9%
역 28
8.9%
로 25
8.0%
길 9
 
2.9%
달 8
 
2.6%
성 8
 
2.6%
Other values (26) 56
17.9%
Common
ValueCountFrequency (%)
87
52.1%
1 17
 
10.2%
0 13
 
7.8%
4 10
 
6.0%
2 8
 
4.8%
8 8
 
4.8%
3 6
 
3.6%
9 5
 
3.0%
5 5
 
3.0%
6 4
 
2.4%
Other values (2) 4
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 313
65.2%
ASCII 167
34.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
87
52.1%
1 17
 
10.2%
0 13
 
7.8%
4 10
 
6.0%
2 8
 
4.8%
8 8
 
4.8%
3 6
 
3.6%
9 5
 
3.0%
5 5
 
3.0%
6 4
 
2.4%
Other values (2) 4
 
2.4%
Hangul
ValueCountFrequency (%)
구 58
18.5%
대 34
10.9%
중 30
9.6%
시 29
9.3%
광 28
8.9%
역 28
8.9%
로 25
8.0%
길 9
 
2.9%
달 8
 
2.6%
성 8
 
2.6%
Other values (26) 56
17.9%

소재지지번주소
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing27
Missing (%)96.4%
Memory size356.0 B
2023-08-15T16:38:18.298349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18
Distinct characters14
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

Unique1 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 달성동 259-2
ValueCountFrequency (%)
대구광역시 1
25.0%
중구 1
25.0%
달성동 1
25.0%
259-2 1
25.0%
2023-08-15T16:38:18.781967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3
16.7%
구 2
11.1%
2 2
11.1%
대 1
 
5.6%
광 1
 
5.6%
역 1
 
5.6%
시 1
 
5.6%
중 1
 
5.6%
달 1
 
5.6%
성 1
 
5.6%
Other values (4) 4
22.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
55.6%
Decimal Number 4
 
22.2%
Space Separator 3
 
16.7%
Dash Punctuation 1
 
5.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 2
20.0%
대 1
10.0%
광 1
10.0%
역 1
10.0%
시 1
10.0%
중 1
10.0%
달 1
10.0%
성 1
10.0%
동 1
10.0%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
5 1
25.0%
9 1
25.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
55.6%
Common 8
44.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 2
20.0%
대 1
10.0%
광 1
10.0%
역 1
10.0%
시 1
10.0%
중 1
10.0%
달 1
10.0%
성 1
10.0%
동 1
10.0%
Common
ValueCountFrequency (%)
3
37.5%
2 2
25.0%
5 1
 
12.5%
9 1
 
12.5%
- 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
55.6%
ASCII 8
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3
37.5%
2 2
25.0%
5 1
 
12.5%
9 1
 
12.5%
- 1
 
12.5%
Hangul
ValueCountFrequency (%)
구 2
20.0%
대 1
10.0%
광 1
10.0%
역 1
10.0%
시 1
10.0%
중 1
10.0%
달 1
10.0%
성 1
10.0%
동 1
10.0%

위도
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.867497
Minimum35.856684
Maximum35.877904
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-08-15T16:38:19.034301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.856684
5-th percentile35.85738
Q135.863298
median35.869258
Q335.871825
95-th percentile35.875909
Maximum35.877904
Range0.02122086
Interquartile range (IQR)0.0085267525

Descriptive statistics

Standard deviation0.006179721
Coefficient of variation (CV)0.00017229307
Kurtosis-0.91866639
Mean35.867497
Median Absolute Deviation (MAD)0.004145045
Skewness-0.34575101
Sum1004.2899
Variance3.8188952 × 10-5
MonotonicityNot monotonic
2023-08-15T16:38:19.255703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
35.8715411 1
 
3.6%
35.8709649 1
 
3.6%
35.87147496 1
 
3.6%
35.86332979 1
 
3.6%
35.85707202 1
 
3.6%
35.85821964 1
 
3.6%
35.87565292 1
 
3.6%
35.86979922 1
 
3.6%
35.8566835 1
 
3.6%
35.8632024 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
35.8566835 1
3.6%
35.85707202 1
3.6%
35.85795165 1
3.6%
35.85821964 1
3.6%
35.85876069 1
3.6%
35.86030288 1
3.6%
35.8632024 1
3.6%
35.86332979 1
3.6%
35.86415484 1
3.6%
35.8650401 1
3.6%
ValueCountFrequency (%)
35.87790436 1
3.6%
35.8760471 1
3.6%
35.87565292 1
3.6%
35.8734065 1
3.6%
35.87339884 1
3.6%
35.87334451 1
3.6%
35.87267548 1
3.6%
35.8715411 1
3.6%
35.87147496 1
3.6%
35.8709649 1
3.6%

경도
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.59011
Minimum128.57592
Maximum128.60616
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-08-15T16:38:19.871763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.57592
5-th percentile128.57895
Q1128.5822
median128.59055
Q3128.59773
95-th percentile128.60388
Maximum128.60616
Range0.0302371
Interquartile range (IQR)0.01552605

Descriptive statistics

Standard deviation0.0091814921
Coefficient of variation (CV)7.1401228 × 10-5
Kurtosis-1.2951188
Mean128.59011
Median Absolute Deviation (MAD)0.00839075
Skewness0.25324417
Sum3600.5232
Variance8.4299797 × 10-5
MonotonicityNot monotonic
2023-08-15T16:38:20.155435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
128.6012201 1
 
3.6%
128.5940116 1
 
3.6%
128.5812247 1
 
3.6%
128.5787844 1
 
3.6%
128.6030747 1
 
3.6%
128.5805741 1
 
3.6%
128.5820858 1
 
3.6%
128.5822423 1
 
3.6%
128.5832256 1
 
3.6%
128.6028002 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
128.5759201 1
3.6%
128.5787844 1
3.6%
128.5792519 1
3.6%
128.5805741 1
3.6%
128.5806231 1
3.6%
128.5812247 1
3.6%
128.5820858 1
3.6%
128.5822423 1
3.6%
128.5823662 1
3.6%
128.5825214 1
3.6%
ValueCountFrequency (%)
128.6061572 1
3.6%
128.6043147 1
3.6%
128.6030747 1
3.6%
128.6028002 1
3.6%
128.6017388 1
3.6%
128.6012201 1
3.6%
128.5993685 1
3.6%
128.5971828 1
3.6%
128.5941989 1
3.6%
128.5940116 1
3.6%

설치장소설명
Text

Distinct22
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-08-15T16:38:20.517079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length14
Mean length9.5714286
Min length5

Characters and Unicode

Total characters268
Distinct characters79
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)64.3%

Sample

1st row1층 현관
2nd row1층 민원실
3rd row1층 민원실
4th row1층 소강당 내 우측 입구
5th row1층 푸드마켓 사무실
ValueCountFrequency (%)
1층 12
 
16.0%
대합실 7
 
9.3%
앞 7
 
9.3%
입구 4
 
5.3%
민원실 4
 
5.3%
지상1층 3
 
4.0%
로비 2
 
2.7%
지하1층 2
 
2.7%
내 2
 
2.7%
사무실 2
 
2.7%
Other values (29) 30
40.0%
2023-08-15T16:38:21.101289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
47
 
17.5%
층 23
 
8.6%
1 20
 
7.5%
실 15
 
5.6%
대 7
 
2.6%
합 7
 
2.6%
앞 7
 
2.6%
구 7
 
2.6%
입 7
 
2.6%
원 7
 
2.6%
Other values (69) 121
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 191
71.3%
Space Separator 47
 
17.5%
Decimal Number 25
 
9.3%
Close Punctuation 2
 
0.7%
Open Punctuation 2
 
0.7%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 23
 
12.0%
실 15
 
7.9%
대 7
 
3.7%
합 7
 
3.7%
앞 7
 
3.7%
구 7
 
3.7%
입 7
 
3.7%
원 7
 
3.7%
지 6
 
3.1%
상 5
 
2.6%
Other values (62) 100
52.4%
Decimal Number
ValueCountFrequency (%)
1 20
80.0%
2 4
 
16.0%
4 1
 
4.0%
Space Separator
ValueCountFrequency (%)
47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 191
71.3%
Common 77
28.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 23
 
12.0%
실 15
 
7.9%
대 7
 
3.7%
합 7
 
3.7%
앞 7
 
3.7%
구 7
 
3.7%
입 7
 
3.7%
원 7
 
3.7%
지 6
 
3.1%
상 5
 
2.6%
Other values (62) 100
52.4%
Common
ValueCountFrequency (%)
47
61.0%
1 20
26.0%
2 4
 
5.2%
) 2
 
2.6%
( 2
 
2.6%
, 1
 
1.3%
4 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 191
71.3%
ASCII 77
28.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
47
61.0%
1 20
26.0%
2 4
 
5.2%
) 2
 
2.6%
( 2
 
2.6%
, 1
 
1.3%
4 1
 
1.3%
Hangul
ValueCountFrequency (%)
층 23
 
12.0%
실 15
 
7.9%
대 7
 
3.7%
합 7
 
3.7%
앞 7
 
3.7%
구 7
 
3.7%
입 7
 
3.7%
원 7
 
3.7%
지 6
 
3.1%
상 5
 
2.6%
Other values (62) 100
52.4%

평일운영시작시각
Categorical

Distinct4
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size356.0 B
09:00
14 
05:30
8 
00:00
4 
08:30
2 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09:00
2nd row09:00
3rd row09:00
4th row09:00
5th row09:00

Common Values

ValueCountFrequency (%)
09:00 14
50.0%
05:30 8
28.6%
00:00 4
 
14.3%
08:30 2
 
7.1%

Length

2023-08-15T16:38:21.407994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-15T16:38:21.588098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09:00 14
50.0%
05:30 8
28.6%
00:00 4
 
14.3%
08:30 2
 
7.1%

평일운영종료시각
Categorical

Distinct4
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size356.0 B
18:00
14 
23:30
8 
23:59
4 
17:30
2 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row18:00
2nd row18:00
3rd row18:00
4th row18:00
5th row18:00

Common Values

ValueCountFrequency (%)
18:00 14
50.0%
23:30 8
28.6%
23:59 4
 
14.3%
17:30 2
 
7.1%

Length

2023-08-15T16:38:21.827387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-15T16:38:22.015137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18:00 14
50.0%
23:30 8
28.6%
23:59 4
 
14.3%
17:30 2
 
7.1%

토요일운영시작시각
Categorical

Distinct4
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size356.0 B
00:00
17 
05:30
8 
09:00
2 
08:30
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)3.6%

Sample

1st row00:00
2nd row00:00
3rd row00:00
4th row00:00
5th row00:00

Common Values

ValueCountFrequency (%)
00:00 17
60.7%
05:30 8
28.6%
09:00 2
 
7.1%
08:30 1
 
3.6%

Length

2023-08-15T16:38:22.204116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-15T16:38:22.392644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 17
60.7%
05:30 8
28.6%
09:00 2
 
7.1%
08:30 1
 
3.6%

토요일운영종료시각
Categorical

Distinct5
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size356.0 B
00:00
13 
23:30
8 
23:59
4 
18:00
2 
12:30
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)3.6%

Sample

1st row00:00
2nd row00:00
3rd row00:00
4th row00:00
5th row00:00

Common Values

ValueCountFrequency (%)
00:00 13
46.4%
23:30 8
28.6%
23:59 4
 
14.3%
18:00 2
 
7.1%
12:30 1
 
3.6%

Length

2023-08-15T16:38:22.592440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-15T16:38:22.769308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 13
46.4%
23:30 8
28.6%
23:59 4
 
14.3%
18:00 2
 
7.1%
12:30 1
 
3.6%

공휴일운영시작시각
Categorical

Distinct3
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
00:00
18 
05:30
8 
09:00
2 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row00:00
2nd row00:00
3rd row00:00
4th row00:00
5th row00:00

Common Values

ValueCountFrequency (%)
00:00 18
64.3%
05:30 8
28.6%
09:00 2
 
7.1%

Length

2023-08-15T16:38:22.957731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-15T16:38:23.119152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 18
64.3%
05:30 8
28.6%
09:00 2
 
7.1%

공휴일운영종료시각
Categorical

Distinct4
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size356.0 B
00:00
14 
23:30
8 
23:59
4 
18:00
2 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row00:00
2nd row00:00
3rd row00:00
4th row00:00
5th row00:00

Common Values

ValueCountFrequency (%)
00:00 14
50.0%
23:30 8
28.6%
23:59 4
 
14.3%
18:00 2
 
7.1%

Length

2023-08-15T16:38:23.334473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-15T16:38:23.528045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 14
50.0%
23:30 8
28.6%
23:59 4
 
14.3%
18:00 2
 
7.1%

동시사용가능대수
Categorical

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
1
23 
2
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 23
82.1%
2 5
 
17.9%

Length

2023-08-15T16:38:23.698046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-15T16:38:23.877983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 23
82.1%
2 5
 
17.9%

공기주입가능여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size160.0 B
False
28 
ValueCountFrequency (%)
False 28
100.0%
2023-08-15T16:38:24.030740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

휴대전화충전가능여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size160.0 B
True
28 
ValueCountFrequency (%)
True 28
100.0%
2023-08-15T16:38:24.264499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

관리기관명
Text

Distinct21
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-08-15T16:38:24.529281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length8.3214286
Min length4

Characters and Unicode

Total characters233
Distinct characters79
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

Unique20 ?
Unique (%)71.4%

Sample

1st row대구광역시
2nd row대구광역시 중구
3rd row대구광역시 중구 보건소
4th row남산기독교종합사회복지관
5th row남산종합사회복지관
ValueCountFrequency (%)
대구도시철도공사 8
22.9%
대구광역시 5
14.3%
중구 4
 
11.4%
대봉2동 1
 
2.9%
향촌문화관 1
 
2.9%
장애인재활협회 1
 
2.9%
청라국민체육센터 1
 
2.9%
남산4동 1
 
2.9%
대구시지체장애인협회 1
 
2.9%
달성공원관리사무소 1
 
2.9%
Other values (11) 11
31.4%
2023-08-15T16:38:25.008506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 18
 
7.7%
대 16
 
6.9%
도 16
 
6.9%
시 14
 
6.0%
공 12
 
5.2%
사 11
 
4.7%
철 8
 
3.4%
7
 
3.0%
원 6
 
2.6%
역 5
 
2.1%
Other values (69) 120
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 220
94.4%
Space Separator 7
 
3.0%
Decimal Number 5
 
2.1%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 18
 
8.2%
대 16
 
7.3%
도 16
 
7.3%
시 14
 
6.4%
공 12
 
5.5%
사 11
 
5.0%
철 8
 
3.6%
원 6
 
2.7%
역 5
 
2.3%
광 5
 
2.3%
Other values (64) 109
49.5%
Decimal Number
ValueCountFrequency (%)
2 3
60.0%
4 1
 
20.0%
8 1
 
20.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 220
94.4%
Common 13
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 18
 
8.2%
대 16
 
7.3%
도 16
 
7.3%
시 14
 
6.4%
공 12
 
5.5%
사 11
 
5.0%
철 8
 
3.6%
원 6
 
2.7%
역 5
 
2.3%
광 5
 
2.3%
Other values (64) 109
49.5%
Common
ValueCountFrequency (%)
7
53.8%
2 3
23.1%
4 1
 
7.7%
. 1
 
7.7%
8 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 220
94.4%
ASCII 13
 
5.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 18
 
8.2%
대 16
 
7.3%
도 16
 
7.3%
시 14
 
6.4%
공 12
 
5.5%
사 11
 
5.0%
철 8
 
3.6%
원 6
 
2.7%
역 5
 
2.3%
광 5
 
2.3%
Other values (64) 109
49.5%
ASCII
ValueCountFrequency (%)
7
53.8%
2 3
23.1%
4 1
 
7.7%
. 1
 
7.7%
8 1
 
7.7%

관리기관전화번호
Text

Distinct24
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-08-15T16:38:25.296637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.892857
Min length9

Characters and Unicode

Total characters333
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

Unique23 ?
Unique (%)82.1%

Sample

1st row053-803-0114
2nd row053-661-2665
3rd row053-661-3121
4th row053-257-1244
5th row053-254-2562
ValueCountFrequency (%)
053-643-2114 5
 
17.9%
053-803-0114 1
 
3.6%
053-661-2665 1
 
3.6%
053-256-8166 1
 
3.6%
053-256-2081 1
 
3.6%
053-661-3755 1
 
3.6%
053-954-0170 1
 
3.6%
053-256-7728 1
 
3.6%
053-255-7735 1
 
3.6%
053-256-7746 1
 
3.6%
Other values (14) 14
50.0%
2023-08-15T16:38:25.770651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 55
16.5%
5 51
15.3%
3 45
13.5%
0 42
12.6%
1 32
9.6%
6 30
9.0%
4 28
8.4%
2 26
7.8%
7 12
 
3.6%
8 6
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 278
83.5%
Dash Punctuation 55
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 51
18.3%
3 45
16.2%
0 42
15.1%
1 32
11.5%
6 30
10.8%
4 28
10.1%
2 26
9.4%
7 12
 
4.3%
8 6
 
2.2%
9 6
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 333
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 55
16.5%
5 51
15.3%
3 45
13.5%
0 42
12.6%
1 32
9.6%
6 30
9.0%
4 28
8.4%
2 26
7.8%
7 12
 
3.6%
8 6
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 333
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 55
16.5%
5 51
15.3%
3 45
13.5%
0 42
12.6%
1 32
9.6%
6 30
9.0%
4 28
8.4%
2 26
7.8%
7 12
 
3.6%
8 6
 
1.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-07-10
28 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-10
2nd row2023-07-10
3rd row2023-07-10
4th row2023-07-10
5th row2023-07-10

Common Values

ValueCountFrequency (%)
2023-07-10 28
100.0%

Length

2023-08-15T16:38:26.003851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-15T16:38:26.176325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-10 28
100.0%

Sample

시설명시도명시군구명시군구코드소재지도로명주소소재지지번주소위도경도설치장소설명평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각동시사용가능대수공기주입가능여부휴대전화충전가능여부관리기관명관리기관전화번호데이터기준일자
0대구시청대구광역시중구34100대구광역시 중구 공평로 88<NA>35.871541128.601221층 현관09:0018:0000:0000:0000:0000:001NY대구광역시053-803-01142023-07-10
1대구광역시 중구청대구광역시중구34100대구광역시 중구 국채보상로 139길 1<NA>35.869325128.6061571층 민원실09:0018:0000:0000:0000:0000:001NY대구광역시 중구053-661-26652023-07-10
2대구광역시 중구 보건소대구광역시중구34100대구광역시 중구 태평로 45<NA>35.877904128.5833871층 민원실09:0018:0000:0000:0000:0000:001NY대구광역시 중구 보건소053-661-31212023-07-10
3남산기독교종합사회복지관(2대)대구광역시중구34100대구광역시 중구 관덕정길 16<NA>35.86504128.5905651층 소강당 내 우측 입구09:0018:0000:0000:0000:0000:001NY남산기독교종합사회복지관053-257-12442023-07-10
4남산종합사회복지관대구광역시중구34100대구광역시 중구 남산로7길 80<NA>35.860303128.5792521층 푸드마켓 사무실09:0018:0000:0000:0000:0000:001NY남산종합사회복지관053-254-25622023-07-10
5동산병원대구광역시중구34100대구광역시 중구 달성로 56<NA>35.87018128.5825211층매점옆 입원병동입구08:3017:3008:3012:3000:0000:001NY동산병원053-250-83932023-07-10
6경북대학교병원대구광역시중구34100대구광역시 중구 동덕로 130<NA>35.866236128.604315외래동 입구08:3017:3000:0000:0000:0000:001NY경북대학교병원1666-51142023-07-10
7국채보상운동기념공원대구광역시중구34100대구광역시 중구 국채보상로 670<NA>35.869301128.601739국채보상운동기념관 뒤편00:0023:5900:0023:5900:0023:591NY국채보상운동기념공원053-254-94012023-07-10
82.28기념중앙공원대구광역시중구34100대구광역시 중구 동성로2길 80<NA>35.869214128.597183공원관리사무소 앞00:0023:5900:0023:5900:0023:591NY2.28기념중앙공원053-254-94052023-07-10
9경상감영공원대구광역시중구34100대구광역시 중구 경상감영길 99<NA>35.872675128.591685공원화장실 앞00:0023:5900:0023:5900:0023:591NY경상감영공원053-254-94042023-07-10
시설명시도명시군구명시군구코드소재지도로명주소소재지지번주소위도경도설치장소설명평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각동시사용가능대수공기주입가능여부휴대전화충전가능여부관리기관명관리기관전화번호데이터기준일자
18대구시지체장애인협회대구광역시중구34100대구광역시 중구 달성공원로8길 10대구광역시 중구 달성동 259-235.873345128.5806234층 사무실 입구09:0018:0000:0000:0000:0000:002NY대구시지체장애인협회053-954-01702023-07-10
191호선 명덕역대구광역시중구34100대구광역시 중구 명덕로 185<NA>35.857952128.591146지하1층 대합실 앞05:3023:3005:3023:3005:3023:301NY대구도시철도공사053-643-21142023-07-10
202호선 경대병원역대구광역시중구34100대구광역시 중구 달구벌대로 2190<NA>35.863202128.6028지하1층 대합실 앞05:3023:3005:3023:3005:3023:301NY대구도시철도공사053-643-21142023-07-10
213호선 남산역대구광역시중구34100대구광역시 중구 남산로 2<NA>35.856684128.583226지상1층 대합실 앞05:3023:3005:3023:3005:3023:301NY대구도시철도공사053-643-21142023-07-10
223호선 서문시장역대구광역시중구34100대구광역시 중구 달성로 50<NA>35.869799128.582242지상1층 대합실 앞05:3023:3005:3023:3005:3023:301NY대구도시철도공사053-643-21142023-07-10
233호선 달성공원역대구광역시중구34100대구광역시 중구 달성로 116<NA>35.875653128.582086지상1층 대합실 앞05:3023:3005:3023:3005:3023:301NY대구도시철도공사053-643-21142023-07-10
24남산4동 행정복지센터대구광역시중구34100대구광역시 중구 남산로1길 42<NA>35.85822128.5805741층 민원실 내09:0018:0000:0000:0000:0000:002NY대구광역시 중구 남산4동053-661-37552023-07-10
25청라국민체육센터대구광역시중구34100대구광역시 중구 대봉로 208-1<NA>35.857072128.6030751층 로비09:0018:0000:0000:0000:0000:002NY청라국민체육센터053-256-20812023-07-10
26장애인재활협회대구광역시중구34100대구광역시 중구 남산휴먼시아 103동 상가 1층<NA>35.86333128.5787841층 로비09:0018:0000:0000:0000:0000:002NY장애인재활협회053-256-81662023-07-10
27서문복지재단대구광역시중구34100대구광역시 중구 달성공원로4길 30<NA>35.871475128.581225교육관1층09:0018:0000:0000:0000:0000:002NY서문복지재단053-554-11342023-07-10