Overview

Dataset statistics

Number of variables21
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 KiB
Average record size in memory176.6 B

Variable types

Text5
Categorical5
Numeric2
DateTime7
Boolean2

Dataset

Description대구광역시_남구_전동휠체어급속충전기
Author대구광역시 남구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15034533&dataSetDetailId=150345331ad6856400e2d&provdMethod=FILE

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
시군구코드 has constant value ""Constant
동시사용가능대수 has constant value ""Constant
공기주입가능여부 has constant value ""Constant
데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2024-03-13 14:01:13.573223
Analysis finished2024-03-13 14:01:13.913213
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-03-13T23:01:14.024632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8
Min length3

Characters and Unicode

Total characters232
Distinct characters62
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

Unique27 ?
Unique (%)93.1%

Sample

1st row남구청
2nd row남구보건소
3rd row장애인재활지원센터
4th row대구대재활의원
5th row남구종합사회복지관
ValueCountFrequency (%)
주민센터 12
24.0%
1호선 4
 
8.0%
3호선 3
 
6.0%
영남대학교 2
 
4.0%
병원 2
 
4.0%
명덕역 1
 
2.0%
건들바위역 1
 
2.0%
대명역 1
 
2.0%
안지랑역 1
 
2.0%
이천동 1
 
2.0%
Other values (22) 22
44.0%
2024-03-13T23:01:14.381475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21
 
9.1%
대 18
 
7.8%
터 13
 
5.6%
센 13
 
5.6%
주 12
 
5.2%
민 12
 
5.2%
동 12
 
5.2%
명 12
 
5.2%
1 8
 
3.4%
호 7
 
3.0%
Other values (52) 104
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 191
82.3%
Space Separator 21
 
9.1%
Decimal Number 20
 
8.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 18
 
9.4%
터 13
 
6.8%
센 13
 
6.8%
주 12
 
6.3%
민 12
 
6.3%
동 12
 
6.3%
명 12
 
6.3%
호 7
 
3.7%
선 7
 
3.7%
역 7
 
3.7%
Other values (43) 78
40.8%
Decimal Number
ValueCountFrequency (%)
1 8
40.0%
3 5
25.0%
2 2
 
10.0%
5 1
 
5.0%
0 1
 
5.0%
6 1
 
5.0%
4 1
 
5.0%
9 1
 
5.0%
Space Separator
ValueCountFrequency (%)
21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 191
82.3%
Common 41
 
17.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 18
 
9.4%
터 13
 
6.8%
센 13
 
6.8%
주 12
 
6.3%
민 12
 
6.3%
동 12
 
6.3%
명 12
 
6.3%
호 7
 
3.7%
선 7
 
3.7%
역 7
 
3.7%
Other values (43) 78
40.8%
Common
ValueCountFrequency (%)
21
51.2%
1 8
 
19.5%
3 5
 
12.2%
2 2
 
4.9%
5 1
 
2.4%
0 1
 
2.4%
6 1
 
2.4%
4 1
 
2.4%
9 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 191
82.3%
ASCII 41
 
17.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21
51.2%
1 8
 
19.5%
3 5
 
12.2%
2 2
 
4.9%
5 1
 
2.4%
0 1
 
2.4%
6 1
 
2.4%
4 1
 
2.4%
9 1
 
2.4%
Hangul
ValueCountFrequency (%)
대 18
 
9.4%
터 13
 
6.8%
센 13
 
6.8%
주 12
 
6.3%
민 12
 
6.3%
동 12
 
6.3%
명 12
 
6.3%
호 7
 
3.7%
선 7
 
3.7%
역 7
 
3.7%
Other values (43) 78
40.8%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
대구광역시
29 

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 29
100.0%

Length

2024-03-13T23:01:14.537049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:01:14.645139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 29
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
남구
29 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남구 29
100.0%

Length

2024-03-13T23:01:14.736542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:01:14.841457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남구 29
100.0%

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
27200
29 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row27200
2nd row27200
3rd row27200
4th row27200
5th row27200

Common Values

ValueCountFrequency (%)
27200 29
100.0%

Length

2024-03-13T23:01:14.937297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:01:15.024231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
27200 29
100.0%

소재지도로명주소
Text

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-03-13T23:01:15.201489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length17.172414
Min length14

Characters and Unicode

Total characters498
Distinct characters49
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

Unique27 ?
Unique (%)93.1%

Sample

1st row대구광역시 남구 이천로 51
2nd row대구광역시 남구 영선길 34
3rd row대구광역시 남구 대봉로 112-1
4th row대구광역시 남구 명덕로8길 70
5th row대구광역시 남구 중앙대로38길 17
ValueCountFrequency (%)
대구광역시 29
24.6%
남구 29
24.6%
대명로 5
 
4.2%
명덕로 3
 
2.5%
현충로 2
 
1.7%
170 2
 
1.7%
앞산순환로 2
 
1.7%
53 2
 
1.7%
양지로 1
 
0.8%
이천로28길 1
 
0.8%
Other values (42) 42
35.6%
2024-03-13T23:01:15.555485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
89
17.9%
구 58
11.6%
대 39
 
7.8%
시 30
 
6.0%
남 30
 
6.0%
광 29
 
5.8%
역 29
 
5.8%
로 26
 
5.2%
1 21
 
4.2%
2 14
 
2.8%
Other values (39) 133
26.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 317
63.7%
Decimal Number 91
 
18.3%
Space Separator 89
 
17.9%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 58
18.3%
대 39
12.3%
시 30
9.5%
남 30
9.5%
광 29
9.1%
역 29
9.1%
로 26
8.2%
길 13
 
4.1%
명 13
 
4.1%
덕 6
 
1.9%
Other values (27) 44
13.9%
Decimal Number
ValueCountFrequency (%)
1 21
23.1%
2 14
15.4%
0 12
13.2%
3 10
11.0%
8 9
9.9%
7 7
 
7.7%
5 7
 
7.7%
4 5
 
5.5%
6 4
 
4.4%
9 2
 
2.2%
Space Separator
ValueCountFrequency (%)
89
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 317
63.7%
Common 181
36.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 58
18.3%
대 39
12.3%
시 30
9.5%
남 30
9.5%
광 29
9.1%
역 29
9.1%
로 26
8.2%
길 13
 
4.1%
명 13
 
4.1%
덕 6
 
1.9%
Other values (27) 44
13.9%
Common
ValueCountFrequency (%)
89
49.2%
1 21
 
11.6%
2 14
 
7.7%
0 12
 
6.6%
3 10
 
5.5%
8 9
 
5.0%
7 7
 
3.9%
5 7
 
3.9%
4 5
 
2.8%
6 4
 
2.2%
Other values (2) 3
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 317
63.7%
ASCII 181
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
89
49.2%
1 21
 
11.6%
2 14
 
7.7%
0 12
 
6.6%
3 10
 
5.5%
8 9
 
5.0%
7 7
 
3.9%
5 7
 
3.9%
4 5
 
2.8%
6 4
 
2.2%
Other values (2) 3
 
1.7%
Hangul
ValueCountFrequency (%)
구 58
18.3%
대 39
12.3%
시 30
9.5%
남 30
9.5%
광 29
9.1%
역 29
9.1%
로 26
8.2%
길 13
 
4.1%
명 13
 
4.1%
덕 6
 
1.9%
Other values (27) 44
13.9%

소재지지번주소
Text

Distinct26
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-03-13T23:01:15.794743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length18.310345
Min length16

Characters and Unicode

Total characters531
Distinct characters25
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

Unique24 ?
Unique (%)82.8%

Sample

1st row대구광역시 남구 봉덕동 565-5
2nd row대구광역시 남구 대명동 2003
3rd row대구광역시 남구 이천동 559-16
4th row대구광역시 남구 대명동 2289-5
5th row대구광역시 남구 대명동 19-1
ValueCountFrequency (%)
대구광역시 29
25.0%
남구 29
25.0%
대명동 21
18.1%
이천동 4
 
3.4%
1291 3
 
2.6%
봉덕동 3
 
2.6%
317-1 2
 
1.7%
150 1
 
0.9%
383-22 1
 
0.9%
산201-4 1
 
0.9%
Other values (22) 22
19.0%
2024-03-13T23:01:16.148479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
87
16.4%
구 58
10.9%
대 51
 
9.6%
1 32
 
6.0%
광 29
 
5.5%
역 29
 
5.5%
시 29
 
5.5%
남 29
 
5.5%
동 29
 
5.5%
2 24
 
4.5%
Other values (15) 134
25.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 292
55.0%
Decimal Number 131
24.7%
Space Separator 87
 
16.4%
Dash Punctuation 21
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 58
19.9%
대 51
17.5%
광 29
9.9%
역 29
9.9%
시 29
9.9%
남 29
9.9%
동 29
9.9%
명 22
 
7.5%
이 4
 
1.4%
천 4
 
1.4%
Other values (3) 8
 
2.7%
Decimal Number
ValueCountFrequency (%)
1 32
24.4%
2 24
18.3%
0 13
9.9%
3 13
9.9%
4 11
 
8.4%
5 9
 
6.9%
6 9
 
6.9%
8 8
 
6.1%
9 7
 
5.3%
7 5
 
3.8%
Space Separator
ValueCountFrequency (%)
87
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 292
55.0%
Common 239
45.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 58
19.9%
대 51
17.5%
광 29
9.9%
역 29
9.9%
시 29
9.9%
남 29
9.9%
동 29
9.9%
명 22
 
7.5%
이 4
 
1.4%
천 4
 
1.4%
Other values (3) 8
 
2.7%
Common
ValueCountFrequency (%)
87
36.4%
1 32
 
13.4%
2 24
 
10.0%
- 21
 
8.8%
0 13
 
5.4%
3 13
 
5.4%
4 11
 
4.6%
5 9
 
3.8%
6 9
 
3.8%
8 8
 
3.3%
Other values (2) 12
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 292
55.0%
ASCII 239
45.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
87
36.4%
1 32
 
13.4%
2 24
 
10.0%
- 21
 
8.8%
0 13
 
5.4%
3 13
 
5.4%
4 11
 
4.6%
5 9
 
3.8%
6 9
 
3.8%
8 8
 
3.3%
Other values (2) 12
 
5.0%
Hangul
ValueCountFrequency (%)
구 58
19.9%
대 51
17.5%
광 29
9.9%
역 29
9.9%
시 29
9.9%
남 29
9.9%
동 29
9.9%
명 22
 
7.5%
이 4
 
1.4%
천 4
 
1.4%
Other values (3) 8
 
2.7%

위도
Real number (ℝ)

Distinct26
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.846253
Minimum35.831294
Maximum35.856892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-03-13T23:01:16.268750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.831294
5-th percentile35.833279
Q135.842416
median35.846377
Q335.852301
95-th percentile35.856097
Maximum35.856892
Range0.02559768
Interquartile range (IQR)0.00988477

Descriptive statistics

Standard deviation0.0072604203
Coefficient of variation (CV)0.00020254336
Kurtosis-0.5344623
Mean35.846253
Median Absolute Deviation (MAD)0.00464628
Skewness-0.40929268
Sum1039.5413
Variance5.2713703 × 10-5
MonotonicityNot monotonic
2024-03-13T23:01:16.402644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
35.84637678 3
 
10.3%
35.84767466 2
 
6.9%
35.84594995 1
 
3.4%
35.83725432 1
 
3.4%
35.85493819 1
 
3.4%
35.85534975 1
 
3.4%
35.85689194 1
 
3.4%
35.84395336 1
 
3.4%
35.85093194 1
 
3.4%
35.8432314 1
 
3.4%
Other values (16) 16
55.2%
ValueCountFrequency (%)
35.83129426 1
3.4%
35.8320699 1
3.4%
35.83509159 1
3.4%
35.83624038 1
3.4%
35.83725432 1
3.4%
35.84002858 1
3.4%
35.8417305 1
3.4%
35.84241606 1
3.4%
35.8432314 1
3.4%
35.8438374 1
3.4%
ValueCountFrequency (%)
35.85689194 1
3.4%
35.8565952 1
3.4%
35.85534975 1
3.4%
35.8552846 1
3.4%
35.85493819 1
3.4%
35.85389994 1
3.4%
35.8536812 1
3.4%
35.85230083 1
3.4%
35.85093194 1
3.4%
35.849252 1
3.4%

경도
Real number (ℝ)

Distinct26
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.58455
Minimum128.56063
Maximum128.60619
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-03-13T23:01:16.551983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.56063
5-th percentile128.56724
Q1128.57697
median128.58417
Q3128.59197
95-th percentile128.60296
Maximum128.60619
Range0.0455577
Interquartile range (IQR)0.0150037

Descriptive statistics

Standard deviation0.011851795
Coefficient of variation (CV)9.2171219 × 10-5
Kurtosis-0.67715938
Mean128.58455
Median Absolute Deviation (MAD)0.0077995
Skewness0.047774584
Sum3728.952
Variance0.00014046505
MonotonicityNot monotonic
2024-03-13T23:01:16.720840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
128.5801523 3
 
10.3%
128.5841724 2
 
6.9%
128.5975989 1
 
3.4%
128.5790384 1
 
3.4%
128.6061918 1
 
3.4%
128.5996295 1
 
3.4%
128.5903629 1
 
3.4%
128.5876211 1
 
3.4%
128.5741217 1
 
3.4%
128.5878039 1
 
3.4%
Other values (16) 16
55.2%
ValueCountFrequency (%)
128.5606341 1
3.4%
128.5660918 1
3.4%
128.5689557 1
3.4%
128.569528 1
3.4%
128.5735803 1
3.4%
128.5741217 1
3.4%
128.5748742 1
3.4%
128.5769682 1
3.4%
128.5790384 1
3.4%
128.5790578 1
3.4%
ValueCountFrequency (%)
128.6061918 1
3.4%
128.6041819 1
3.4%
128.6011308 1
3.4%
128.5996295 1
3.4%
128.599433 1
3.4%
128.5975989 1
3.4%
128.5959452 1
3.4%
128.5919719 1
3.4%
128.5915225 1
3.4%
128.5903629 1
3.4%

설치장소설명
Categorical

Distinct11
Distinct (%)37.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
1층 민원실
8 
1층 로비
4 
1층 민원실 외부
4 
지하1층 대합실
3 
지상2층 대합실
3 
Other values (6)
7 

Length

Max length19
Median length13
Mean length7.9310345
Min length5

Unique

Unique5 ?
Unique (%)17.2%

Sample

1st row1층 로비
2nd row1층 민원실
3rd row1층 로비
4th row4층 엘리베이터 옆
5th row1층 주차장

Common Values

ValueCountFrequency (%)
1층 민원실 8
27.6%
1층 로비 4
13.8%
1층 민원실 외부 4
13.8%
지하1층 대합실 3
 
10.3%
지상2층 대합실 3
 
10.3%
호흡기전문질환센터 로비층 2
 
6.9%
4층 엘리베이터 옆 1
 
3.4%
1층 주차장 1
 
3.4%
1층 안내실 1
 
3.4%
1층 카페 입구 외부 1
 
3.4%

Length

2024-03-13T23:01:16.854307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1층 19
27.9%
민원실 12
17.6%
대합실 7
 
10.3%
외부 5
 
7.4%
로비 4
 
5.9%
지하1층 4
 
5.9%
지상2층 3
 
4.4%
호흡기전문질환센터 2
 
2.9%
로비층 2
 
2.9%
옆 2
 
2.9%
Other values (8) 8
11.8%

평일운영시작시각
Date

Distinct4
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2024-03-13 00:00:00
Maximum2024-03-13 09:00:00
2024-03-13T23:01:16.949300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:01:17.033974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

평일운영종료시각
Date

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2024-03-13 18:00:00
Maximum2024-03-13 23:59:00
2024-03-13T23:01:17.125216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:01:17.210777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

토요일운영시작시각
Date

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2024-03-13 00:00:00
Maximum2024-03-13 06:00:00
2024-03-13T23:01:17.292608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:01:17.377276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

토요일운영종료시각
Date

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2024-03-13 00:00:00
Maximum2024-03-13 23:59:00
2024-03-13T23:01:17.466592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:01:17.543988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

공휴일운영시작시각
Date

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2024-03-13 00:00:00
Maximum2024-03-13 06:00:00
2024-03-13T23:01:17.623405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:01:17.723889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

공휴일운영종료시각
Date

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2024-03-13 00:00:00
Maximum2024-03-13 23:59:00
2024-03-13T23:01:17.805715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:01:17.893845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

동시사용가능대수
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
0
29 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29
100.0%

Length

2024-03-13T23:01:18.068881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:01:18.169528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
100.0%

공기주입가능여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size161.0 B
False
29 
ValueCountFrequency (%)
False 29
100.0%
2024-03-13T23:01:18.235395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

휴대전화충전가능여부
Boolean

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size161.0 B
False
17 
True
12 
ValueCountFrequency (%)
False 17
58.6%
True 12
41.4%
2024-03-13T23:01:18.583740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

관리기관명
Text

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-03-13T23:01:18.735664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length13.62069
Min length6

Characters and Unicode

Total characters395
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

Unique27 ?
Unique (%)93.1%

Sample

1st row대구광역시 남구청
2nd row대구광역시 남구 보건소
3rd row대구광역시 남구 장애인재활지원센터
4th row대구대학교 재활의원
5th row남구종합사회복지관
ValueCountFrequency (%)
대구광역시 15
18.8%
남구 14
17.5%
행정복지센터 12
15.0%
1호선 4
 
5.0%
3호선 3
 
3.8%
영남대학교 2
 
2.5%
병원 2
 
2.5%
봉덕3동 1
 
1.2%
대명5동 1
 
1.2%
대명사회복지관 1
 
1.2%
Other values (25) 25
31.2%
2024-03-13T23:01:19.073325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
51
 
12.9%
대 34
 
8.6%
구 33
 
8.4%
역 23
 
5.8%
남 19
 
4.8%
지 16
 
4.1%
시 16
 
4.1%
광 16
 
4.1%
복 14
 
3.5%
터 13
 
3.3%
Other values (55) 160
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 324
82.0%
Space Separator 51
 
12.9%
Decimal Number 20
 
5.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 34
 
10.5%
구 33
 
10.2%
역 23
 
7.1%
남 19
 
5.9%
지 16
 
4.9%
시 16
 
4.9%
광 16
 
4.9%
복 14
 
4.3%
터 13
 
4.0%
센 13
 
4.0%
Other values (46) 127
39.2%
Decimal Number
ValueCountFrequency (%)
1 8
40.0%
3 5
25.0%
2 2
 
10.0%
5 1
 
5.0%
9 1
 
5.0%
0 1
 
5.0%
6 1
 
5.0%
4 1
 
5.0%
Space Separator
ValueCountFrequency (%)
51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 324
82.0%
Common 71
 
18.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 34
 
10.5%
구 33
 
10.2%
역 23
 
7.1%
남 19
 
5.9%
지 16
 
4.9%
시 16
 
4.9%
광 16
 
4.9%
복 14
 
4.3%
터 13
 
4.0%
센 13
 
4.0%
Other values (46) 127
39.2%
Common
ValueCountFrequency (%)
51
71.8%
1 8
 
11.3%
3 5
 
7.0%
2 2
 
2.8%
5 1
 
1.4%
9 1
 
1.4%
0 1
 
1.4%
6 1
 
1.4%
4 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 324
82.0%
ASCII 71
 
18.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
51
71.8%
1 8
 
11.3%
3 5
 
7.0%
2 2
 
2.8%
5 1
 
1.4%
9 1
 
1.4%
0 1
 
1.4%
6 1
 
1.4%
4 1
 
1.4%
Hangul
ValueCountFrequency (%)
대 34
 
10.5%
구 33
 
10.2%
역 23
 
7.1%
남 19
 
5.9%
지 16
 
4.9%
시 16
 
4.9%
광 16
 
4.9%
복 14
 
4.3%
터 13
 
4.0%
센 13
 
4.0%
Other values (46) 127
39.2%

관리기관전화번호
Text

Distinct27
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-03-13T23:01:19.272083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters348
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

Unique26 ?
Unique (%)89.7%

Sample

1st row053-664-3204
2nd row053-664-3606
3rd row053-471-0606
4th row053-650-8080
5th row053-476-7700
ValueCountFrequency (%)
053-327-1670 3
 
10.3%
053-664-3918 1
 
3.4%
053-627-7746 1
 
3.4%
053-626-7747 1
 
3.4%
053-651-7756 1
 
3.4%
053-626-7760 1
 
3.4%
053-620-4502 1
 
3.4%
053-620-4501 1
 
3.4%
053-657-1170 1
 
3.4%
053-664-3873 1
 
3.4%
Other values (17) 17
58.6%
2024-03-13T23:01:19.599702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 58
16.7%
3 53
15.2%
6 53
15.2%
0 51
14.7%
5 37
10.6%
7 26
7.5%
4 23
 
6.6%
1 15
 
4.3%
2 12
 
3.4%
8 12
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 290
83.3%
Dash Punctuation 58
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 53
18.3%
6 53
18.3%
0 51
17.6%
5 37
12.8%
7 26
9.0%
4 23
7.9%
1 15
 
5.2%
2 12
 
4.1%
8 12
 
4.1%
9 8
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 348
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 58
16.7%
3 53
15.2%
6 53
15.2%
0 51
14.7%
5 37
10.6%
7 26
7.5%
4 23
 
6.6%
1 15
 
4.3%
2 12
 
3.4%
8 12
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 348
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 58
16.7%
3 53
15.2%
6 53
15.2%
0 51
14.7%
5 37
10.6%
7 26
7.5%
4 23
 
6.6%
1 15
 
4.3%
2 12
 
3.4%
8 12
 
3.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2024-01-11 00:00:00
Maximum2024-01-11 00:00:00
2024-03-13T23:01:19.707701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:01:19.803393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

시설명시도명시군구명시군구코드소재지도로명주소소재지지번주소위도경도설치장소설명평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각동시사용가능대수공기주입가능여부휴대전화충전가능여부관리기관명관리기관전화번호데이터기준일자
0남구청대구광역시남구27200대구광역시 남구 이천로 51대구광역시 남구 봉덕동 565-535.84595128.5975991층 로비09:0018:0000:0000:0000:0000:000NY대구광역시 남구청053-664-32042024-01-11
1남구보건소대구광역시남구27200대구광역시 남구 영선길 34대구광역시 남구 대명동 200335.8539128.5915221층 민원실09:0018:0000:0000:0000:0000:000NN대구광역시 남구 보건소053-664-36062024-01-11
2장애인재활지원센터대구광역시남구27200대구광역시 남구 대봉로 112-1대구광역시 남구 이천동 559-1635.848661128.6041821층 로비09:0018:0000:0000:0000:0000:000NN대구광역시 남구 장애인재활지원센터053-471-06062024-01-11
3대구대재활의원대구광역시남구27200대구광역시 남구 명덕로8길 70대구광역시 남구 대명동 2289-535.856595128.5748744층 엘리베이터 옆09:0018:0000:0000:0000:0000:000NN대구대학교 재활의원053-650-80802024-01-11
4남구종합사회복지관대구광역시남구27200대구광역시 남구 중앙대로38길 17대구광역시 남구 대명동 19-135.849252128.5919721층 주차장09:0018:0000:0000:0000:0000:000NN남구종합사회복지관053-476-77002024-01-11
5남부도서관대구광역시남구27200대구광역시 남구 앞산순환로 512대구광역시 남구 대명동 산192-435.83207128.5807581층 안내실09:0018:0000:0000:0000:0000:000NN대구광역시립남부도서관053-231-23002024-01-11
6대명1동 주민센터대구광역시남구27200대구광역시 남구 두류공원로 38대구광역시 남구 대명동 1652-135.84173128.573581층 민원실09:0018:0000:0000:0000:0000:000NN대구광역시 남구 대명1동 행정복지센터053-664-38012024-01-11
7대명3동 주민센터대구광역시남구27200대구광역시 남구 명덕로20길 115대구광역시 남구 대명동 2144-335.852301128.5790581층 민원실09:0018:0000:0000:0000:0000:000NN대구광역시 남구 대명3동 행정복지센터053-664-38392024-01-11
8대명11동 주민센터대구광역시남구27200대구광역시 남구 관문시장4길 53대구광역시 남구 대명동 118035.83624128.5606341층 민원실09:0018:0000:0000:0000:0000:000NN대구광역시 남구 대명11동 행정복지센터053-664-39612024-01-11
9대명10동 주민센터대구광역시남구27200대구광역시 남구 대명복개로4길 166대구광역시 남구 대명동 1624-2135.840029128.5689561층 민원실09:0018:0000:0000:0000:0000:000NN대구광역시 남구 대명10동 행정복지센터053-664-39392024-01-11
시설명시도명시군구명시군구코드소재지도로명주소소재지지번주소위도경도설치장소설명평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각동시사용가능대수공기주입가능여부휴대전화충전가능여부관리기관명관리기관전화번호데이터기준일자
19대명사회복지관대구광역시남구27200대구광역시 남구 양지로 8대구광역시 남구 대명동 3003-2335.850932128.5741221층 카페 입구 외부09:0018:0000:0000:0000:0000:000NY대명사회복지관053-657-11702024-01-11
20영남대학교 병원대구광역시남구27200대구광역시 남구 현충로 170대구광역시 남구 대명동 317-135.847675128.584172호흡기전문질환센터 로비층00:0023:5900:0023:5900:0023:590NY영남대학교 병원053-620-45012024-01-11
21영남대학교 병원대구광역시남구27200대구광역시 남구 현충로 170대구광역시 남구 대명동 317-135.847675128.584172호흡기전문질환센터 로비층00:0023:5900:0023:5900:0023:590NY영남대학교 병원053-620-45022024-01-11
221호선 영대병원역대구광역시남구27200대구광역시 남구 대명로 지하 292대구광역시 남구 대명동 22435.843953128.587621지하1층 대합실05:5023:3005:5023:3005:5023:300NN1호선 영대병원역053-626-77602024-01-11
231호선 현충로역대구광역시남구27200대구광역시 남구 대명로 222대구광역시 남구 대명동 129135.846377128.580152지하1층 대합실05:5023:3005:5023:3005:5023:300NN1호선 현충로역053-651-77562024-01-11
241호선 안지랑역대구광역시남구27200대구광역시 남구 대명로 141대구광역시 남구 대명동 129135.846377128.580152지하1층 대합실, E/L 4호기 옆05:5023:3005:5023:3005:5023:300NN1호선 안지랑역053-626-77472024-01-11
251호선 대명역대구광역시남구27200대구광역시 남구 대명로 71대구광역시 남구 대명동 129135.846377128.580152지하1층 대합실05:5023:3005:5023:3005:5023:300NN1호선 대명역053-627-77462024-01-11
263호선 명덕역대구광역시남구27200대구광역시 남구 명덕로 186대구광역시 남구 대명동 2321-1135.856892128.590363지상2층 대합실06:0023:3006:0023:3006:0023:300NN3호선 명덕역053-327-16702024-01-11
273호선 건들바위역대구광역시남구27200대구광역시 남구 명덕로 260대구광역시 남구 이천동 160-835.85535128.599629지상2층 대합실06:0023:3006:0023:3006:0023:300NN3호선 건들바위역053-327-16702024-01-11
283호선 대봉교역대구광역시남구27200대구광역시 남구 명덕로 330대구광역시 남구 이천동 214-68435.854938128.606192지상2층 대합실06:0023:3006:0023:3006:0023:300NN3호선 대봉교역053-327-16702024-01-11