Overview

Dataset statistics

Number of variables21
Number of observations33
Missing cells30
Missing cells (%)4.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.7 KiB
Average record size in memory176.0 B

Variable types

Text5
Categorical12
Numeric2
Boolean2

Dataset

Description대구광역시_동구_전동휠체어급속충전기
Author대구광역시 동구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15034533&dataSetDetailId=150345331f2a9b029e4c7_201911061920&provdMethod=FILE

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
시군구코드 has constant value ""Constant
공휴일운영시작시각 has constant value ""Constant
동시사용가능대수 has constant value ""Constant
공기주입가능여부 has constant value ""Constant
휴대전화충전가능여부 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지지번주소 has 30 (90.9%) missing valuesMissing
시설명 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:00:59.539542
Analysis finished2024-04-06 08:01:00.053658
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-04-06T17:01:00.237869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length8.0909091
Min length3

Characters and Unicode

Total characters267
Distinct characters83
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row동구청
2nd row동구 보건소
3rd row대구공항
4th row대구광역시립 동부도서관
5th row동구구립안심도서관
ValueCountFrequency (%)
지하철 13
26.0%
행정복지센터 2
 
4.0%
동구청 1
 
2.0%
동구청역 1
 
2.0%
각산역 1
 
2.0%
반야월역 1
 
2.0%
신기역 1
 
2.0%
율하역 1
 
2.0%
용계역 1
 
2.0%
해안역 1
 
2.0%
Other values (27) 27
54.0%
2024-04-06T17:01:00.721147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23
 
8.6%
17
 
6.4%
16
 
6.0%
15
 
5.6%
14
 
5.2%
13
 
4.9%
13
 
4.9%
9
 
3.4%
8
 
3.0%
6
 
2.2%
Other values (73) 133
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 246
92.1%
Space Separator 17
 
6.4%
Decimal Number 2
 
0.7%
Open Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
23
 
9.3%
16
 
6.5%
15
 
6.1%
14
 
5.7%
13
 
5.3%
13
 
5.3%
9
 
3.7%
8
 
3.3%
6
 
2.4%
6
 
2.4%
Other values (69) 123
50.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 246
92.1%
Common 21
 
7.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
23
 
9.3%
16
 
6.5%
15
 
6.1%
14
 
5.7%
13
 
5.3%
13
 
5.3%
9
 
3.7%
8
 
3.3%
6
 
2.4%
6
 
2.4%
Other values (69) 123
50.0%
Common
ValueCountFrequency (%)
17
81.0%
1 2
 
9.5%
( 1
 
4.8%
) 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 246
92.1%
ASCII 21
 
7.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
23
 
9.3%
16
 
6.5%
15
 
6.1%
14
 
5.7%
13
 
5.3%
13
 
5.3%
9
 
3.7%
8
 
3.3%
6
 
2.4%
6
 
2.4%
Other values (69) 123
50.0%
ASCII
ValueCountFrequency (%)
17
81.0%
1 2
 
9.5%
( 1
 
4.8%
) 1
 
4.8%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
대구광역시
33 

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 33
100.0%

Length

2024-04-06T17:01:00.930799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:01:01.071957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 33
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
동구
33 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동구 33
100.0%

Length

2024-04-06T17:01:01.249366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:01:01.407840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동구 33
100.0%

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
27140
33 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row27140
2nd row27140
3rd row27140
4th row27140
5th row27140

Common Values

ValueCountFrequency (%)
27140 33
100.0%

Length

2024-04-06T17:01:01.573256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:01:01.729963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
27140 33
100.0%
Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-04-06T17:01:02.012831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length17.333333
Min length15

Characters and Unicode

Total characters572
Distinct characters52
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)93.9%

Sample

1st row대구광역시 동구 아양로 207
2nd row대구광역시 동구 동촌로 79
3rd row대구광역시 동구 공항로 221
4th row대구광역시 동구 신암북로 11길 54
5th row대구광역시 동구 금호강변로 360
ValueCountFrequency (%)
대구광역시 33
24.4%
동구 33
24.4%
안심로 4
 
3.0%
동촌로 4
 
3.0%
율하동로 2
 
1.5%
아양로 2
 
1.5%
11길 2
 
1.5%
550 2
 
1.5%
동대구로 2
 
1.5%
261 1
 
0.7%
Other values (50) 50
37.0%
2024-04-06T17:01:02.570424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
102
17.8%
68
11.9%
49
 
8.6%
35
 
6.1%
33
 
5.8%
33
 
5.8%
33
 
5.8%
33
 
5.8%
2 19
 
3.3%
5 16
 
2.8%
Other values (42) 151
26.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 356
62.2%
Decimal Number 106
 
18.5%
Space Separator 102
 
17.8%
Dash Punctuation 5
 
0.9%
Uppercase Letter 2
 
0.3%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
68
19.1%
49
13.8%
35
9.8%
33
9.3%
33
9.3%
33
9.3%
33
9.3%
12
 
3.4%
6
 
1.7%
5
 
1.4%
Other values (27) 49
13.8%
Decimal Number
ValueCountFrequency (%)
2 19
17.9%
5 16
15.1%
1 16
15.1%
6 13
12.3%
3 12
11.3%
7 10
9.4%
9 7
 
6.6%
4 6
 
5.7%
0 6
 
5.7%
8 1
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
H 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
102
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 356
62.2%
Common 214
37.4%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
68
19.1%
49
13.8%
35
9.8%
33
9.3%
33
9.3%
33
9.3%
33
9.3%
12
 
3.4%
6
 
1.7%
5
 
1.4%
Other values (27) 49
13.8%
Common
ValueCountFrequency (%)
102
47.7%
2 19
 
8.9%
5 16
 
7.5%
1 16
 
7.5%
6 13
 
6.1%
3 12
 
5.6%
7 10
 
4.7%
9 7
 
3.3%
4 6
 
2.8%
0 6
 
2.8%
Other values (3) 7
 
3.3%
Latin
ValueCountFrequency (%)
H 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 356
62.2%
ASCII 216
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
102
47.2%
2 19
 
8.8%
5 16
 
7.4%
1 16
 
7.4%
6 13
 
6.0%
3 12
 
5.6%
7 10
 
4.6%
9 7
 
3.2%
4 6
 
2.8%
0 6
 
2.8%
Other values (5) 9
 
4.2%
Hangul
ValueCountFrequency (%)
68
19.1%
49
13.8%
35
9.8%
33
9.3%
33
9.3%
33
9.3%
33
9.3%
12
 
3.4%
6
 
1.7%
5
 
1.4%
Other values (27) 49
13.8%

소재지지번주소
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing30
Missing (%)90.9%
Memory size396.0 B
2024-04-06T17:01:03.082037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length17.333333
Min length16

Characters and Unicode

Total characters52
Distinct characters22
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

Unique3 ?
Unique (%)100.0%

Sample

1st row대구광역시 동구 괴전동 536-1
2nd row대구광역시 동구 율하동 488-1
3rd row대구광역시 동구 신암동 294
ValueCountFrequency (%)
대구광역시 3
25.0%
동구 3
25.0%
괴전동 1
 
8.3%
536-1 1
 
8.3%
율하동 1
 
8.3%
488-1 1
 
8.3%
신암동 1
 
8.3%
294 1
 
8.3%
2024-04-06T17:01:04.384411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9
17.3%
6
11.5%
6
11.5%
3
 
5.8%
3
 
5.8%
3
 
5.8%
3
 
5.8%
8 2
 
3.8%
- 2
 
3.8%
1 2
 
3.8%
Other values (12) 13
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30
57.7%
Decimal Number 11
 
21.2%
Space Separator 9
 
17.3%
Dash Punctuation 2
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6
20.0%
6
20.0%
3
10.0%
3
10.0%
3
10.0%
3
10.0%
1
 
3.3%
1
 
3.3%
1
 
3.3%
1
 
3.3%
Other values (2) 2
 
6.7%
Decimal Number
ValueCountFrequency (%)
8 2
18.2%
1 2
18.2%
4 2
18.2%
2 1
9.1%
6 1
9.1%
3 1
9.1%
5 1
9.1%
9 1
9.1%
Space Separator
ValueCountFrequency (%)
9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30
57.7%
Common 22
42.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6
20.0%
6
20.0%
3
10.0%
3
10.0%
3
10.0%
3
10.0%
1
 
3.3%
1
 
3.3%
1
 
3.3%
1
 
3.3%
Other values (2) 2
 
6.7%
Common
ValueCountFrequency (%)
9
40.9%
8 2
 
9.1%
- 2
 
9.1%
1 2
 
9.1%
4 2
 
9.1%
2 1
 
4.5%
6 1
 
4.5%
3 1
 
4.5%
5 1
 
4.5%
9 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30
57.7%
ASCII 22
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9
40.9%
8 2
 
9.1%
- 2
 
9.1%
1 2
 
9.1%
4 2
 
9.1%
2 1
 
4.5%
6 1
 
4.5%
3 1
 
4.5%
5 1
 
4.5%
9 1
 
4.5%
Hangul
ValueCountFrequency (%)
6
20.0%
6
20.0%
3
10.0%
3
10.0%
3
10.0%
3
10.0%
1
 
3.3%
1
 
3.3%
1
 
3.3%
1
 
3.3%
Other values (2) 2
 
6.7%

위도
Real number (ℝ)

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.878752
Minimum35.859022
Maximum35.910378
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-06T17:01:04.765516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.859022
5-th percentile35.865017
Q135.870219
median35.87798
Q335.886807
95-th percentile35.900259
Maximum35.910378
Range0.05135563
Interquartile range (IQR)0.01658798

Descriptive statistics

Standard deviation0.011689766
Coefficient of variation (CV)0.00032581305
Kurtosis0.43765168
Mean35.878752
Median Absolute Deviation (MAD)0.00814314
Skewness0.75609403
Sum1183.9988
Variance0.00013665062
MonotonicityNot monotonic
2024-04-06T17:01:05.092734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
35.87943697 2
 
6.1%
35.8713053 1
 
3.0%
35.87162713 1
 
3.0%
35.88746516 1
 
3.0%
35.90198112 1
 
3.0%
35.87332725 1
 
3.0%
35.91037762 1
 
3.0%
35.87043409 1
 
3.0%
35.87470309 1
 
3.0%
35.88424158 1
 
3.0%
Other values (22) 22
66.7%
ValueCountFrequency (%)
35.85902199 1
3.0%
35.86390026 1
3.0%
35.86576229 1
3.0%
35.86605742 1
3.0%
35.8662107 1
3.0%
35.86800174 1
3.0%
35.86977353 1
3.0%
35.8698372 1
3.0%
35.8702193 1
3.0%
35.87042748 1
3.0%
ValueCountFrequency (%)
35.91037762 1
3.0%
35.90198112 1
3.0%
35.89911131 1
3.0%
35.89041434 1
3.0%
35.89015506 1
3.0%
35.88812301 1
3.0%
35.88746516 1
3.0%
35.88712177 1
3.0%
35.88680728 1
3.0%
35.88596397 1
3.0%

경도
Real number (ℝ)

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.66845
Minimum128.61701
Maximum128.73376
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-06T17:01:05.405061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.61701
5-th percentile128.62148
Q1128.63209
median128.65909
Q3128.70163
95-th percentile128.72781
Maximum128.73376
Range0.1167576
Interquartile range (IQR)0.0695434

Descriptive statistics

Standard deviation0.03772974
Coefficient of variation (CV)0.00029323225
Kurtosis-1.4679414
Mean128.66845
Median Absolute Deviation (MAD)0.0336909
Skewness0.21153338
Sum4246.059
Variance0.0014235333
MonotonicityNot monotonic
2024-04-06T17:01:05.861806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
128.6287724 2
 
6.1%
128.7337648 1
 
3.0%
128.7117753 1
 
3.0%
128.6309736 1
 
3.0%
128.6300699 1
 
3.0%
128.7332741 1
 
3.0%
128.6392881 1
 
3.0%
128.7016322 1
 
3.0%
128.6170072 1
 
3.0%
128.6320888 1
 
3.0%
Other values (22) 22
66.7%
ValueCountFrequency (%)
128.6170072 1
3.0%
128.6213132 1
3.0%
128.6215911 1
3.0%
128.6223307 1
3.0%
128.6287724 2
6.1%
128.6300699 1
3.0%
128.6309736 1
3.0%
128.6320888 1
3.0%
128.6360744 1
3.0%
128.6392637 1
3.0%
ValueCountFrequency (%)
128.7337648 1
3.0%
128.7332741 1
3.0%
128.724167 1
3.0%
128.7132105 1
3.0%
128.7117753 1
3.0%
128.7096331 1
3.0%
128.7025347 1
3.0%
128.7018747 1
3.0%
128.7016322 1
3.0%
128.7015081 1
3.0%
Distinct15
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Memory size396.0 B
1층 로비
12 
지하1층 대합실
지하3층 대합실
1층 민원실
 
1
1층 안내데스크 옆
 
1
Other values (10)
10 

Length

Max length15
Median length14
Mean length7.6060606
Min length4

Unique

Unique12 ?
Unique (%)36.4%

Sample

1st row1층 민원실
2nd row1층 로비
3rd row1층 안내데스크 옆
4th row장애인실(1층)
5th row종합자료실 내부(2층)

Common Values

ValueCountFrequency (%)
1층 로비 12
36.4%
지하1층 대합실 5
15.2%
지하3층 대합실 4
 
12.1%
1층 민원실 1
 
3.0%
1층 안내데스크 옆 1
 
3.0%
장애인실(1층) 1
 
3.0%
종합자료실 내부(2층) 1
 
3.0%
회관 1층 1
 
3.0%
복지관내 1
 
3.0%
활동공간 입구 1
 
3.0%
Other values (5) 5
15.2%

Length

2024-04-06T17:01:06.255253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1층 15
20.5%
대합실 13
17.8%
로비 12
16.4%
지하1층 8
11.0%
지하3층 4
 
5.5%
3
 
4.1%
2
 
2.7%
입구 1
 
1.4%
1
 
1.4%
계단 1
 
1.4%
Other values (13) 13
17.8%
Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
09:00
18 
00:00
14 
07:00
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)3.0%

Sample

1st row09:00
2nd row09:00
3rd row00:00
4th row07:00
5th row09:00

Common Values

ValueCountFrequency (%)
09:00 18
54.5%
00:00 14
42.4%
07:00 1
 
3.0%

Length

2024-04-06T17:01:06.566143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:01:06.811290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09:00 18
54.5%
00:00 14
42.4%
07:00 1
 
3.0%
Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
18:00
17 
23:59
14 
22:00

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row18:00
2nd row18:00
3rd row23:59
4th row22:00
5th row22:00

Common Values

ValueCountFrequency (%)
18:00 17
51.5%
23:59 14
42.4%
22:00 2
 
6.1%

Length

2024-04-06T17:01:07.066095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:01:07.342491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18:00 17
51.5%
23:59 14
42.4%
22:00 2
 
6.1%
Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
00:00
17 
09:00
15 
07:00
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)3.0%

Sample

1st row00:00
2nd row00:00
3rd row00:00
4th row07:00
5th row09:00

Common Values

ValueCountFrequency (%)
00:00 17
51.5%
09:00 15
45.5%
07:00 1
 
3.0%

Length

2024-04-06T17:01:07.607684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:01:07.875348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 17
51.5%
09:00 15
45.5%
07:00 1
 
3.0%
Distinct5
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
23:59
14 
18:00
14 
00:00
22:00
 
1
17:00
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)6.1%

Sample

1st row00:00
2nd row00:00
3rd row23:59
4th row22:00
5th row17:00

Common Values

ValueCountFrequency (%)
23:59 14
42.4%
18:00 14
42.4%
00:00 3
 
9.1%
22:00 1
 
3.0%
17:00 1
 
3.0%

Length

2024-04-06T17:01:08.139422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:01:08.518312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
23:59 14
42.4%
18:00 14
42.4%
00:00 3
 
9.1%
22:00 1
 
3.0%
17:00 1
 
3.0%

공휴일운영시작시각
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
00:00
33 

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 33
100.0%

Length

2024-04-06T17:01:08.853963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:01:09.140752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 33
100.0%
Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
00:00
19 
23:59
14 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row00:00
2nd row00:00
3rd row23:59
4th row00:00
5th row00:00

Common Values

ValueCountFrequency (%)
00:00 19
57.6%
23:59 14
42.4%

Length

2024-04-06T17:01:09.422871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:01:09.791975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 19
57.6%
23:59 14
42.4%

동시사용가능대수
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2
33 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 33
100.0%

Length

2024-04-06T17:01:10.060967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:01:10.316780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 33
100.0%

공기주입가능여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
33 
ValueCountFrequency (%)
False 33
100.0%
2024-04-06T17:01:10.513861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size165.0 B
True
33 
ValueCountFrequency (%)
True 33
100.0%
2024-04-06T17:01:10.701230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct20
Distinct (%)60.6%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-04-06T17:01:11.021554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length8.7575758
Min length6

Characters and Unicode

Total characters289
Distinct characters65
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)57.6%

Sample

1st row대구광역시 동구청
2nd row대구광역시 동구보건소
3rd row대구국제공항
4th row대구광역시립동부도서관
5th row동구구립안심도서관
ValueCountFrequency (%)
대구도시철도공사 14
37.8%
대구광역시 2
 
5.4%
행정복지센터 2
 
5.4%
동구보건소 1
 
2.7%
팔공노인복지관 1
 
2.7%
동구노인종합복지관 1
 
2.7%
장애인지역공동체 1
 
2.7%
불로봉무동 1
 
2.7%
안심1동 1
 
2.7%
안심종합사회복지관 1
 
2.7%
Other values (12) 12
32.4%
2024-04-06T17:01:11.732384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30
 
10.4%
26
 
9.0%
19
 
6.6%
18
 
6.2%
18
 
6.2%
17
 
5.9%
14
 
4.8%
11
 
3.8%
10
 
3.5%
9
 
3.1%
Other values (55) 117
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 283
97.9%
Space Separator 4
 
1.4%
Decimal Number 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
30
 
10.6%
26
 
9.2%
19
 
6.7%
18
 
6.4%
18
 
6.4%
17
 
6.0%
14
 
4.9%
11
 
3.9%
10
 
3.5%
9
 
3.2%
Other values (53) 111
39.2%
Space Separator
ValueCountFrequency (%)
4
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 283
97.9%
Common 6
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
30
 
10.6%
26
 
9.2%
19
 
6.7%
18
 
6.4%
18
 
6.4%
17
 
6.0%
14
 
4.9%
11
 
3.9%
10
 
3.5%
9
 
3.2%
Other values (53) 111
39.2%
Common
ValueCountFrequency (%)
4
66.7%
1 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 283
97.9%
ASCII 6
 
2.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
30
 
10.6%
26
 
9.2%
19
 
6.7%
18
 
6.4%
18
 
6.4%
17
 
6.0%
14
 
4.9%
11
 
3.9%
10
 
3.5%
9
 
3.2%
Other values (53) 111
39.2%
ASCII
ValueCountFrequency (%)
4
66.7%
1 2
33.3%
Distinct17
Distinct (%)51.5%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-04-06T17:01:12.165591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.909091
Min length9

Characters and Unicode

Total characters393
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

Unique16 ?
Unique (%)48.5%

Sample

1st row053-662-2000
2nd row053-662-3201
3rd row1661-2626
4th row053-231-2200
5th row053-980-2600
ValueCountFrequency (%)
053-643-2114 17
51.5%
053-662-2000 1
 
3.0%
053-755-9392 1
 
3.0%
053-955-8081 1
 
3.0%
053-983-9100 1
 
3.0%
053-953-9460 1
 
3.0%
053-662-3312 1
 
3.0%
053-662-3317 1
 
3.0%
053-962-4137 1
 
3.0%
053-964-3335 1
 
3.0%
Other values (7) 7
21.2%
2024-04-06T17:01:12.971269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 66
16.8%
- 65
16.5%
1 48
12.2%
0 47
12.0%
5 39
9.9%
4 39
9.9%
6 36
9.2%
2 33
8.4%
9 12
 
3.1%
8 5
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 328
83.5%
Dash Punctuation 65
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 66
20.1%
1 48
14.6%
0 47
14.3%
5 39
11.9%
4 39
11.9%
6 36
11.0%
2 33
10.1%
9 12
 
3.7%
8 5
 
1.5%
7 3
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 65
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 393
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 66
16.8%
- 65
16.5%
1 48
12.2%
0 47
12.0%
5 39
9.9%
4 39
9.9%
6 36
9.2%
2 33
8.4%
9 12
 
3.1%
8 5
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 393
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 66
16.8%
- 65
16.5%
1 48
12.2%
0 47
12.0%
5 39
9.9%
4 39
9.9%
6 36
9.2%
2 33
8.4%
9 12
 
3.1%
8 5
 
1.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-03-19
33 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-19
2nd row2024-03-19
3rd row2024-03-19
4th row2024-03-19
5th row2024-03-19

Common Values

ValueCountFrequency (%)
2024-03-19 33
100.0%

Length

2024-04-06T17:01:13.284604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:01:13.524191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-19 33
100.0%

Sample

시설명시도명시군구명시군구코드소재지도로명주소소재지지번주소위도경도설치장소설명평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각동시사용가능대수공기주입가능여부휴대전화충전가능여부관리기관명관리기관전화번호데이터기준일자
0동구청대구광역시동구27140대구광역시 동구 아양로 207<NA>35.886807128.6360741층 민원실09:0018:0000:0000:0000:0000:002NY대구광역시 동구청053-662-20002024-03-19
1동구 보건소대구광역시동구27140대구광역시 동구 동촌로 79<NA>35.888123128.6512151층 로비09:0018:0000:0000:0000:0000:002NY대구광역시 동구보건소053-662-32012024-03-19
2대구공항대구광역시동구27140대구광역시 동구 공항로 221<NA>35.899111128.6392641층 안내데스크 옆00:0023:5900:0023:5900:0023:592NY대구국제공항1661-26262024-03-19
3대구광역시립 동부도서관대구광역시동구27140대구광역시 동구 신암북로 11길 54<NA>35.890155128.621591장애인실(1층)07:0022:0007:0022:0000:0000:002NY대구광역시립동부도서관053-231-22002024-03-19
4동구구립안심도서관대구광역시동구27140대구광역시 동구 금호강변로 360<NA>35.859022128.701875종합자료실 내부(2층)09:0022:0009:0017:0000:0000:002NY동구구립안심도서관053-980-26002024-03-19
5동부여성문화회관대구광역시동구27140대구광역시 동구 산암북로 11길 54-2<NA>35.890414128.622331회관 1층09:0018:0000:0000:0000:0000:002NY동부여성문화회관053-605-30142024-03-19
6안심제1사회복지관대구광역시동구27140대구광역시 동구 안심로22길 3<NA>35.865762128.699055복지관내09:0018:0009:0018:0000:0000:002NY안심제1종합사회복지관053-962-38312024-03-19
7동구척수장애인협회대구광역시동구27140대구광역시 동구 율하동로 50대구광역시 동구 괴전동 536-135.8639128.701508활동공간 입구09:0018:0009:0018:0000:0000:002NY동구척수장애인협회053-643-21142024-03-19
8아양아트센터대구광역시동구27140대구광역시 동구 효동로2길 24대구광역시 동구 율하동 488-135.879564128.6519541층 로비09:0018:0009:0018:0000:0000:002NY아양아트센터053-643-21142024-03-19
9장애인편의시설지원센터대구광역시동구27140대구광역시 동구 신평로16길 59대구광역시 동구 신암동 29435.87798128.684091층 로비09:0018:0009:0018:0000:0000:002NY장애인편의시설지원센터053-643-21142024-03-19
시설명시도명시군구명시군구코드소재지도로명주소소재지지번주소위도경도설치장소설명평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각동시사용가능대수공기주입가능여부휴대전화충전가능여부관리기관명관리기관전화번호데이터기준일자
23지하철 해안역대구광역시동구27140대구광역시 동구 동촌로 167<NA>35.883826128.659088지하2층 대합실 계단 뒤00:0023:5900:0023:5900:0023:592NY대구도시철도공사053-643-21142024-03-19
24지하철 동구청역대구광역시동구27140대구광역시 동구 신암남로 169<NA>35.884242128.632089지하3층 대합실00:0023:5900:0023:5900:0023:592NY대구도시철도공사053-643-21142024-03-19
25지하철 신천역대구광역시동구27140대구광역시 동구 동부로 41<NA>35.874703128.617007지하3층 대합실00:0023:5900:0023:5900:0023:592NY대구도시철도공사053-643-21142024-03-19
26동대구역(경부선)대구광역시동구27140대구광역시 동구 동대구로 550<NA>35.879437128.6287722맞이방+2번출입구 앞09:0018:0009:0018:0000:0000:002NY대구도시철도공사053-643-21142024-03-19
27안심1동 행정복지센터대구광역시동구27140대구광역시 동구 율하동로25길 5<NA>35.870434128.7016321층 로비09:0018:0009:0018:0000:0000:002NY안심1동 행정복지센터053-662-33172024-03-19
28불로봉무동 행정복지센터대구광역시동구27140대구광역시 동구 팔공로25길 16<NA>35.910378128.6392881층 로비09:0018:0009:0018:0000:0000:002NY불로봉무동 행정복지센터053-662-33122024-03-19
29장애인지역공동체대구광역시동구27140대구광역시 동구 동내로 21, SH빌딩<NA>35.873327128.7332741층 로비09:0018:0009:0018:0000:0000:002NY장애인지역공동체053-953-94602024-03-19
30동구노인종합복지관대구광역시동구27140대구광역시 동구 공항로31길 9-6<NA>35.901981128.630071층 로비09:0018:0009:0018:0000:0000:002NY동구노인종합복지관053-983-91002024-03-19
31팔공노인복지관대구광역시동구27140대구광역시 동구 동북로 393<NA>35.887465128.6309741층 로비09:0018:0009:0018:0000:0000:002NY팔공노인복지관053-955-80812024-03-19
32동구재가노인돌봄센터대구광역시동구27140대구광역시 동구 경안로109길 22-7<NA>35.871627128.7117751층 로비09:0018:0009:0018:0000:0000:002NY동구재가노인돌봄센터053-964-31112024-03-19