Overview

Dataset statistics

Number of variables26
Number of observations46
Missing cells229
Missing cells (%)19.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.9 KiB
Average record size in memory220.9 B

Variable types

Text4
Categorical8
Numeric2
Unsupported4
DateTime8

Dataset

Description대구광역시_북구_경로우대지정업소
Author대구광역시 북구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15034531&dataSetDetailId=1503453118e3be59645ab_202003261138&provdMethod=FILE

Alerts

업종명코드 has constant value ""Constant
시도명 has constant value ""Constant
시군구명 has constant value ""Constant
시군구코드 has constant value ""Constant
소재지지번주소 has constant value ""Constant
할인적용최소연령 has constant value ""Constant
할인율 has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지지번주소 has 45 (97.8%) missing valuesMissing
할인금액 has 46 (100.0%) missing valuesMissing
할인대상서비스명 has 46 (100.0%) missing valuesMissing
할인부가정보 has 46 (100.0%) missing valuesMissing
경로우대업소해제일자 has 46 (100.0%) missing valuesMissing
할인금액 is an unsupported type, check if it needs cleaning or further analysisUnsupported
할인대상서비스명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
할인부가정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
경로우대업소해제일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-13 13:37:17.703797
Analysis finished2024-03-13 13:37:18.077787
Duration0.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

Distinct42
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-03-13T22:37:18.233784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length5
Mean length5.4347826
Min length5

Characters and Unicode

Total characters250
Distinct characters81
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)84.8%

Sample

1st row효성이용소
2nd row세화이용소
3rd row옥산이용소
4th row우방이용소
5th row제일보석이용소
ValueCountFrequency (%)
제일이용소 3
 
6.1%
협동이용소 2
 
4.1%
우방이용소 2
 
4.1%
수정이용소 1
 
2.0%
한양이용소 1
 
2.0%
굿모닝이용소 1
 
2.0%
효성이용소 1
 
2.0%
붕붕염색방 1
 
2.0%
엔 1
 
2.0%
현헤어컷트 1
 
2.0%
Other values (35) 35
71.4%
2024-03-13T22:37:18.631904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 44
17.6%
용 44
17.6%
소 43
17.2%
성 5
 
2.0%
일 5
 
2.0%
한 4
 
1.6%
제 4
 
1.6%
협 3
 
1.2%
대 3
 
1.2%
방 3
 
1.2%
Other values (71) 92
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 247
98.8%
Space Separator 3
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 44
17.8%
용 44
17.8%
소 43
17.4%
성 5
 
2.0%
일 5
 
2.0%
한 4
 
1.6%
제 4
 
1.6%
협 3
 
1.2%
대 3
 
1.2%
방 3
 
1.2%
Other values (70) 89
36.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 247
98.8%
Common 3
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 44
17.8%
용 44
17.8%
소 43
17.4%
성 5
 
2.0%
일 5
 
2.0%
한 4
 
1.6%
제 4
 
1.6%
협 3
 
1.2%
대 3
 
1.2%
방 3
 
1.2%
Other values (70) 89
36.0%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 247
98.8%
ASCII 3
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 44
17.8%
용 44
17.8%
소 43
17.4%
성 5
 
2.0%
일 5
 
2.0%
한 4
 
1.6%
제 4
 
1.6%
협 3
 
1.2%
대 3
 
1.2%
방 3
 
1.2%
Other values (70) 89
36.0%
ASCII
ValueCountFrequency (%)
3
100.0%

업종명코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
7
46 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7
2nd row7
3rd row7
4th row7
5th row7

Common Values

ValueCountFrequency (%)
7 46
100.0%

Length

2024-03-13T22:37:18.788860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:37:18.888177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
7 46
100.0%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
대구광역시
46 

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 46
100.0%

Length

2024-03-13T22:37:19.003484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:37:19.120756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 46
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
북구
46 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북구 46
100.0%

Length

2024-03-13T22:37:19.242328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:37:19.364522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북구 46
100.0%

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
27230
46 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row27230
2nd row27230
3rd row27230
4th row27230
5th row27230

Common Values

ValueCountFrequency (%)
27230 46
100.0%

Length

2024-03-13T22:37:19.461565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:37:19.560118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
27230 46
100.0%

소재지도로명주소
Text

Distinct45
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-03-13T22:37:19.837545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length29
Mean length25.108696
Min length15

Characters and Unicode

Total characters1155
Distinct characters94
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

Unique44 ?
Unique (%)95.7%

Sample

1st row대구광역시 북구 고성로34길 53(고성동2가)
2nd row대구광역시 북구 칠성남로26길 16
3rd row대구광역시 북구 칠성로19길 3(칠성동2가)
4th row대구광역시 북구 중앙대로105길 22(칠성동2가)
5th row대구광역시 북구 호암로 28-3
ValueCountFrequency (%)
대구광역시 46
21.9%
북구 46
21.9%
1층 3
 
1.4%
산격로 2
 
1.0%
침산남로 2
 
1.0%
칠곡중앙대로46길 2
 
1.0%
대동로1길 2
 
1.0%
43-1(산격동 2
 
1.0%
31 1
 
0.5%
노곡로 1
 
0.5%
Other values (103) 103
49.0%
2024-03-13T22:37:20.333687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
164
 
14.2%
구 96
 
8.3%
대 60
 
5.2%
북 48
 
4.2%
1 48
 
4.2%
시 47
 
4.1%
로 47
 
4.1%
광 46
 
4.0%
역 46
 
4.0%
동 42
 
3.6%
Other values (84) 511
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 709
61.4%
Decimal Number 184
 
15.9%
Space Separator 164
 
14.2%
Open Punctuation 34
 
2.9%
Close Punctuation 34
 
2.9%
Other Punctuation 16
 
1.4%
Dash Punctuation 13
 
1.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 96
13.5%
대 60
 
8.5%
북 48
 
6.8%
시 47
 
6.6%
로 47
 
6.6%
광 46
 
6.5%
역 46
 
6.5%
동 42
 
5.9%
길 29
 
4.1%
산 21
 
3.0%
Other values (68) 227
32.0%
Decimal Number
ValueCountFrequency (%)
1 48
26.1%
2 28
15.2%
3 27
14.7%
0 19
 
10.3%
5 14
 
7.6%
4 13
 
7.1%
6 12
 
6.5%
8 9
 
4.9%
7 8
 
4.3%
9 6
 
3.3%
Space Separator
ValueCountFrequency (%)
164
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Other Punctuation
ValueCountFrequency (%)
, 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 709
61.4%
Common 445
38.5%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 96
13.5%
대 60
 
8.5%
북 48
 
6.8%
시 47
 
6.6%
로 47
 
6.6%
광 46
 
6.5%
역 46
 
6.5%
동 42
 
5.9%
길 29
 
4.1%
산 21
 
3.0%
Other values (68) 227
32.0%
Common
ValueCountFrequency (%)
164
36.9%
1 48
 
10.8%
( 34
 
7.6%
) 34
 
7.6%
2 28
 
6.3%
3 27
 
6.1%
0 19
 
4.3%
, 16
 
3.6%
5 14
 
3.1%
- 13
 
2.9%
Other values (5) 48
 
10.8%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 709
61.4%
ASCII 446
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
164
36.8%
1 48
 
10.8%
( 34
 
7.6%
) 34
 
7.6%
2 28
 
6.3%
3 27
 
6.1%
0 19
 
4.3%
, 16
 
3.6%
5 14
 
3.1%
- 13
 
2.9%
Other values (6) 49
 
11.0%
Hangul
ValueCountFrequency (%)
구 96
13.5%
대 60
 
8.5%
북 48
 
6.8%
시 47
 
6.6%
로 47
 
6.6%
광 46
 
6.5%
역 46
 
6.5%
동 42
 
5.9%
길 29
 
4.1%
산 21
 
3.0%
Other values (68) 227
32.0%

소재지지번주소
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing45
Missing (%)97.8%
Memory size500.0 B
2024-03-13T22:37:20.488046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters20
Distinct characters16
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 북구 산격동 1236-10
ValueCountFrequency (%)
대구광역시 1
25.0%
북구 1
25.0%
산격동 1
25.0%
1236-10 1
25.0%
2024-03-13T22:37:20.815878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3
15.0%
구 2
 
10.0%
1 2
 
10.0%
대 1
 
5.0%
광 1
 
5.0%
역 1
 
5.0%
시 1
 
5.0%
북 1
 
5.0%
산 1
 
5.0%
격 1
 
5.0%
Other values (6) 6
30.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
50.0%
Decimal Number 6
30.0%
Space Separator 3
 
15.0%
Dash Punctuation 1
 
5.0%

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%
북 1
10.0%
산 1
10.0%
격 1
10.0%
동 1
10.0%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
2 1
16.7%
3 1
16.7%
6 1
16.7%
0 1
16.7%
Space Separator
ValueCountFrequency (%)
3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10
50.0%
Hangul 10
50.0%

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%
북 1
10.0%
산 1
10.0%
격 1
10.0%
동 1
10.0%
Common
ValueCountFrequency (%)
3
30.0%
1 2
20.0%
2 1
 
10.0%
3 1
 
10.0%
6 1
 
10.0%
- 1
 
10.0%
0 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10
50.0%
Hangul 10
50.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3
30.0%
1 2
20.0%
2 1
 
10.0%
3 1
 
10.0%
6 1
 
10.0%
- 1
 
10.0%
0 1
 
10.0%
Hangul
ValueCountFrequency (%)
구 2
20.0%
대 1
10.0%
광 1
10.0%
역 1
10.0%
시 1
10.0%
북 1
10.0%
산 1
10.0%
격 1
10.0%
동 1
10.0%

위도
Real number (ℝ)

Distinct45
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.905162
Minimum35.877618
Maximum35.946169
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-03-13T22:37:21.001150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.877618
5-th percentile35.880196
Q135.891771
median35.898647
Q335.918808
95-th percentile35.942119
Maximum35.946169
Range0.06855028
Interquartile range (IQR)0.027036472

Descriptive statistics

Standard deviation0.019869295
Coefficient of variation (CV)0.00055338269
Kurtosis-0.71016426
Mean35.905162
Median Absolute Deviation (MAD)0.0096656
Skewness0.70188774
Sum1651.6374
Variance0.00039478889
MonotonicityNot monotonic
2024-03-13T22:37:21.147035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
35.89839073 2
 
4.3%
35.88001964 1
 
2.2%
35.91567481 1
 
2.2%
35.90703787 1
 
2.2%
35.91330721 1
 
2.2%
35.92099343 1
 
2.2%
35.9424147 1
 
2.2%
35.90657798 1
 
2.2%
35.89862903 1
 
2.2%
35.89734285 1
 
2.2%
Other values (35) 35
76.1%
ValueCountFrequency (%)
35.87761833 1
2.2%
35.8790276 1
2.2%
35.88001964 1
2.2%
35.88072334 1
2.2%
35.88210307 1
2.2%
35.88355902 1
2.2%
35.88612338 1
2.2%
35.88889026 1
2.2%
35.88907216 1
2.2%
35.89123435 1
2.2%
ValueCountFrequency (%)
35.94616861 1
2.2%
35.94293083 1
2.2%
35.9424147 1
2.2%
35.94123082 1
2.2%
35.93781667 1
2.2%
35.9367137 1
2.2%
35.93275377 1
2.2%
35.93137552 1
2.2%
35.93035356 1
2.2%
35.928671 1
2.2%

경도
Real number (ℝ)

Distinct45
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.58355
Minimum128.51063
Maximum128.62729
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-03-13T22:37:21.338383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.51063
5-th percentile128.54329
Q1128.55333
median128.59345
Q3128.60642
95-th percentile128.62014
Maximum128.62729
Range0.1166641
Interquartile range (IQR)0.05308885

Descriptive statistics

Standard deviation0.03004774
Coefficient of variation (CV)0.00023368261
Kurtosis-0.46183864
Mean128.58355
Median Absolute Deviation (MAD)0.0194901
Skewness-0.64717901
Sum5914.8434
Variance0.00090286666
MonotonicityNot monotonic
2024-03-13T22:37:21.569636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
128.6115418 2
 
4.3%
128.5862896 1
 
2.2%
128.5430012 1
 
2.2%
128.6196296 1
 
2.2%
128.6272903 1
 
2.2%
128.595904 1
 
2.2%
128.6160601 1
 
2.2%
128.563069 1
 
2.2%
128.5106262 1
 
2.2%
128.5121023 1
 
2.2%
Other values (35) 35
76.1%
ValueCountFrequency (%)
128.5106262 1
2.2%
128.5121023 1
2.2%
128.5430012 1
2.2%
128.5441739 1
2.2%
128.5450371 1
2.2%
128.5461783 1
2.2%
128.5490536 1
2.2%
128.5497381 1
2.2%
128.5502607 1
2.2%
128.5513881 1
2.2%
ValueCountFrequency (%)
128.6272903 1
2.2%
128.622935 1
2.2%
128.620316 1
2.2%
128.6196296 1
2.2%
128.6185759 1
2.2%
128.6160601 1
2.2%
128.614827 1
2.2%
128.6122194 1
2.2%
128.6115418 2
4.3%
128.6082725 1
2.2%

업소전화번호
Text

Distinct26
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-03-13T22:37:21.798151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.043478
Min length12

Characters and Unicode

Total characters554
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

Unique24 ?
Unique (%)52.2%

Sample

1st row053-0000-0000
2nd row053-352-7708
3rd row053-000-0000
4th row053-354-1524
5th row053-000-0000
ValueCountFrequency (%)
053-000-0000 20
43.5%
053-0000-0000 2
 
4.3%
053-381-2505 1
 
2.2%
053-323-1858 1
 
2.2%
053-314-0738 1
 
2.2%
053-321-7236 1
 
2.2%
053-312-1536 1
 
2.2%
053-321-4058 1
 
2.2%
053-382-9289 1
 
2.2%
053-959-7052 1
 
2.2%
Other values (16) 16
34.8%
2024-03-13T22:37:22.203820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 210
37.9%
- 92
16.6%
3 79
 
14.3%
5 72
 
13.0%
4 20
 
3.6%
2 17
 
3.1%
1 16
 
2.9%
9 15
 
2.7%
8 15
 
2.7%
7 10
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 462
83.4%
Dash Punctuation 92
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 210
45.5%
3 79
 
17.1%
5 72
 
15.6%
4 20
 
4.3%
2 17
 
3.7%
1 16
 
3.5%
9 15
 
3.2%
8 15
 
3.2%
7 10
 
2.2%
6 8
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 554
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 210
37.9%
- 92
16.6%
3 79
 
14.3%
5 72
 
13.0%
4 20
 
3.6%
2 17
 
3.1%
1 16
 
2.9%
9 15
 
2.7%
8 15
 
2.7%
7 10
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 554
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 210
37.9%
- 92
16.6%
3 79
 
14.3%
5 72
 
13.0%
4 20
 
3.6%
2 17
 
3.1%
1 16
 
2.9%
9 15
 
2.7%
8 15
 
2.7%
7 10
 
1.8%

할인적용최소연령
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
65
46 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row65
2nd row65
3rd row65
4th row65
5th row65

Common Values

ValueCountFrequency (%)
65 46
100.0%

Length

2024-03-13T22:37:22.401863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:37:22.519682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
65 46
100.0%

할인율
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
50
46 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row50
2nd row50
3rd row50
4th row50
5th row50

Common Values

ValueCountFrequency (%)
50 46
100.0%

Length

2024-03-13T22:37:22.647345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:37:22.774353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
50 46
100.0%

할인금액
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

할인대상서비스명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

할인부가정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

평일운영시작시각
Date

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2024-03-13 08:00:00
Maximum2024-03-13 09:00:00
2024-03-13T22:37:22.862674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:37:23.008336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

평일운영종료시각
Date

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2024-03-13 19:00:00
Maximum2024-03-13 20:00:00
2024-03-13T22:37:23.164140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:37:23.298545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

토요일운영시작시각
Date

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2024-03-13 08:00:00
Maximum2024-03-13 09:00:00
2024-03-13T22:37:23.441151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:37:23.634252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

토요일운영종료시각
Date

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2024-03-13 19:00:00
Maximum2024-03-13 20:00:00
2024-03-13T22:37:23.796084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:37:23.986784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

공휴일운영시작시각
Date

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2024-03-13 08:00:00
Maximum2024-03-13 09:00:00
2024-03-13T22:37:24.127219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:37:24.217301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

공휴일운영종료시각
Date

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2024-03-13 00:00:00
Maximum2024-03-13 20:00:00
2024-03-13T22:37:24.329302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:37:24.546550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

경로우대업소지정일자
Date

Distinct30
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2005-09-01 00:00:00
Maximum2024-01-12 00:00:00
2024-03-13T22:37:25.018893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:37:25.151057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

경로우대업소해제일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
대구광역시 북구
46 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 북구 46
100.0%

Length

2024-03-13T22:37:25.319223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:37:25.441269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 46
50.0%
북구 46
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
053-665-2537
46 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row053-665-2537
2nd row053-665-2537
3rd row053-665-2537
4th row053-665-2537
5th row053-665-2537

Common Values

ValueCountFrequency (%)
053-665-2537 46
100.0%

Length

2024-03-13T22:37:25.550809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:37:25.674805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
053-665-2537 46
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2024-02-01 00:00:00
Maximum2024-02-01 00:00:00
2024-03-13T22:37:25.779275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:37:25.868094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

업소명업종명코드시도명시군구명시군구코드소재지도로명주소소재지지번주소위도경도업소전화번호할인적용최소연령할인율할인금액할인대상서비스명할인부가정보평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각경로우대업소지정일자경로우대업소해제일자관리기관명관리기관전화번호데이터기준일자
0효성이용소7대구광역시북구27230대구광역시 북구 고성로34길 53(고성동2가)<NA>35.88002128.58629053-0000-00006550<NA><NA><NA>08:0020:0008:0020:0008:0020:002005-09-01<NA>대구광역시 북구053-665-25372024-02-01
1세화이용소7대구광역시북구27230대구광역시 북구 칠성남로26길 16<NA>35.877618128.592925053-352-77086550<NA><NA><NA>08:0020:0008:0020:0008:0020:002012-01-04<NA>대구광역시 북구053-665-25372024-02-01
2옥산이용소7대구광역시북구27230대구광역시 북구 칠성로19길 3(칠성동2가)<NA>35.879028128.599609053-000-00006550<NA><NA><NA>08:0020:0008:0020:0008:0020:002012-03-01<NA>대구광역시 북구053-665-25372024-02-01
3우방이용소7대구광역시북구27230대구광역시 북구 중앙대로105길 22(칠성동2가)<NA>35.880723128.593511053-354-15246550<NA><NA><NA>08:0020:0008:0020:0008:0020:002015-01-16<NA>대구광역시 북구053-665-25372024-02-01
4제일보석이용소7대구광역시북구27230대구광역시 북구 호암로 28-3<NA>35.882103128.593784053-000-00006550<NA><NA><NA>08:0020:0008:0020:0008:0020:002019-03-20<NA>대구광역시 북구053-665-25372024-02-01
5명진이용소7대구광역시북구27230대구광역시 북구 침산남로 7길 40-4<NA>35.891838128.579014053-356-35966550<NA><NA><NA>08:0020:0008:0020:0008:0020:002019-12-09<NA>대구광역시 북구053-665-25372024-02-01
6새한이용소7대구광역시북구27230대구광역시 북구 침산남로44길 8(침산동, 세한아파트)<NA>35.886123128.599131053-427-04366550<NA><NA><NA>08:0020:0008:0020:0008:0020:002012-03-01<NA>대구광역시 북구053-665-25372024-02-01
7코리아이용소7대구광역시북구27230대구광역시 북구 침산남로 165-20(침산동)<NA>35.889072128.593398053-353-34856550<NA><NA><NA>08:0020:0008:0020:0008:0020:002014-08-22<NA>대구광역시 북구053-665-25372024-02-01
8모범이용소7대구광역시북구27230대구광역시 북구 옥산로17길 50<NA>35.88889128.586825053-359-17836550<NA><NA><NA>08:0020:0008:0020:0008:0020:002008-12-01<NA>대구광역시 북구053-665-25372024-02-01
9삼흥이용소7대구광역시북구27230대구광역시 북구 성북로9길 3-1, 1층 (침산동)<NA>35.891749128.587919053-354-17486550<NA><NA><NA>08:0020:0008:0020:0008:0020:002019-07-23<NA>대구광역시 북구053-665-25372024-02-01
업소명업종명코드시도명시군구명시군구코드소재지도로명주소소재지지번주소위도경도업소전화번호할인적용최소연령할인율할인금액할인대상서비스명할인부가정보평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각경로우대업소지정일자경로우대업소해제일자관리기관명관리기관전화번호데이터기준일자
36부산이용소7대구광역시북구27230대구광역시 북구 태암로3길 20(태전동)<NA>35.930354128.549738053-321-72366550<NA><NA><NA>08:0020:0008:0020:0008:0020:002012-01-01<NA>대구광역시 북구053-665-25372024-02-01
37제일이용소7대구광역시북구27230대구광역시 북구 칠곡중앙대로46길 15(태전동, 태전동남영아파트) 상가202호<NA>35.917706128.549054053-314-07386550<NA><NA><NA>08:0020:0008:0020:0008:0020:002016-07-01<NA>대구광역시 북구053-665-25372024-02-01
38태전이용소7대구광역시북구27230대구광역시 북구 칠곡중앙대로46길 33(태전동)<NA>35.919175128.550261053-0000-00006550<NA><NA><NA>08:0020:0008:0020:0008:0020:002019-02-08<NA>대구광역시 북구053-665-25372024-02-01
39명성이발관7대구광역시북구27230대구광역시 북구 학정로 271, 106동 105호(구암동, 청구아파트상가)<NA>35.928671128.558849053-000-00006550<NA><NA><NA>08:0020:0008:0020:0008:0020:002020-06-01<NA>대구광역시 북구053-665-25372024-02-01
40한양이용소7대구광역시북구27230대구광역시 북구 관음중앙로 13길 6-20(관음동)<NA>35.941231128.544174053-000-00006550<NA><NA><NA>08:0019:0008:0019:0008:0019:002020-11-17<NA>대구광역시 북구053-665-25372024-02-01
41수정이용소7대구광역시북구27230대구광역시 북구 칠곡중앙대로91길 24-2<NA>35.936714128.546178053-000-00006550<NA><NA><NA>08:0020:0008:0020:0008:0020:002021-06-22<NA>대구광역시 북구053-665-25372024-02-01
42제일이용소7대구광역시북구27230대구광역시 북구 동암로 30(읍내동)<NA>35.946169128.554306053-323-18586550<NA><NA><NA>08:0020:0008:0020:0008:0020:002005-09-01<NA>대구광역시 북구053-665-25372024-02-01
43상가이용소7대구광역시북구27230대구광역시 북구 구암로21길 6, 202호(읍내동, 코스모스한양아파트상가)<NA>35.932754128.55282053-324-34366550<NA><NA><NA>08:0020:0008:0020:0008:0000:002022-05-04<NA>대구광역시 북구053-665-25372024-02-01
44착한이용소7대구광역시북구27230대구광역시 북구 칠곡중앙대로 530-3, A동 2호<NA>35.942931128.551388053-000-00006550<NA><NA><NA>08:0020:0008:0020:0008:0020:002022-05-04<NA>대구광역시 북구053-665-25372024-02-01
45시티이용소7대구광역시북구27230대구광역시 북구 대천로 31, 칠곡시티월드사우나 내<NA>35.937817128.553006053-000-00006550<NA><NA><NA>08:0020:0008:0020:0008:0020:002022-05-04<NA>대구광역시 북구053-665-25372024-02-01