Overview

Dataset statistics

Number of variables16
Number of observations27
Missing cells59
Missing cells (%)13.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.7 KiB
Average record size in memory138.9 B

Variable types

Text4
Categorical4
Numeric4
Unsupported2
Boolean2

Dataset

Description대구광역시_달서구_전통시장_20190918
Author대구광역시 달서구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3040296&dataSetDetailId=30402961b4b203e2a0a8_201909181341&provdMethod=FILE

Alerts

시장유형 has constant value ""Constant
시장개설주기 has constant value ""Constant
사용가능상품권 has constant value ""Constant
데이터기준일자 has constant value ""Constant
취급품목 has 27 (100.0%) missing valuesMissing
홈페이지주소 has 27 (100.0%) missing valuesMissing
전화번호 has 5 (18.5%) missing valuesMissing
시장명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
소재지지번주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
취급품목 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 20:06:15.429597
Analysis finished2023-12-10 20:06:19.275193
Duration3.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시장명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-11T05:06:19.481430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length5.5185185
Min length4

Characters and Unicode

Total characters149
Distinct characters55
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

Unique27 ?
Unique (%)100.0%

Sample

1st row신내당시장
2nd row두류종합시장
3rd row서남시장
4th row월배시장
5th row송경종합시장
ValueCountFrequency (%)
신내당시장 2
 
6.9%
두류종합시장 1
 
3.4%
두류젊음의 1
 
3.4%
두류신시장 1
 
3.4%
상인영남화성상가 1
 
3.4%
보성은하상가 1
 
3.4%
성서보성화성상가 1
 
3.4%
달서송림 1
 
3.4%
월성청구 1
 
3.4%
성서아울렛타운 1
 
3.4%
Other values (18) 18
62.1%
2023-12-11T05:06:19.993711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 21
 
14.1%
시 20
 
13.4%
서 8
 
5.4%
성 8
 
5.4%
상 6
 
4.0%
신 5
 
3.4%
대 4
 
2.7%
가 4
 
2.7%
류 3
 
2.0%
종 3
 
2.0%
Other values (45) 67
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 147
98.7%
Space Separator 2
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 21
 
14.3%
시 20
 
13.6%
서 8
 
5.4%
성 8
 
5.4%
상 6
 
4.1%
신 5
 
3.4%
대 4
 
2.7%
가 4
 
2.7%
류 3
 
2.0%
종 3
 
2.0%
Other values (44) 65
44.2%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 147
98.7%
Common 2
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 21
 
14.3%
시 20
 
13.6%
서 8
 
5.4%
성 8
 
5.4%
상 6
 
4.1%
신 5
 
3.4%
대 4
 
2.7%
가 4
 
2.7%
류 3
 
2.0%
종 3
 
2.0%
Other values (44) 65
44.2%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 147
98.7%
ASCII 2
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 21
 
14.3%
시 20
 
13.6%
서 8
 
5.4%
성 8
 
5.4%
상 6
 
4.1%
신 5
 
3.4%
대 4
 
2.7%
가 4
 
2.7%
류 3
 
2.0%
종 3
 
2.0%
Other values (44) 65
44.2%
ASCII
ValueCountFrequency (%)
2
100.0%

시장유형
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
상설장
27 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상설장 27
100.0%

Length

2023-12-11T05:06:20.217642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:06:20.363723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상설장 27
100.0%

소재지도로명주소
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-11T05:06:20.714497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length22
Mean length19.296296
Min length15

Characters and Unicode

Total characters521
Distinct characters55
Distinct categories7 ?
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 (%)100.0%

Sample

1st row대구광역시 달서구 야외음악당로39길 62
2nd row대구광역시 달서구 당산동길 9
3rd row대구광역시 달서구 달구벌대로329길 17
4th row대구광역시 달서구 월배로24길 13
5th row대구광역시 달서구 앞산순환로49길 73
ValueCountFrequency (%)
대구광역시 27
24.8%
달서구 27
24.8%
당산동길 2
 
1.8%
9 2
 
1.8%
달구벌대로329길 2
 
1.8%
17 2
 
1.8%
447 1
 
0.9%
달구벌대로301길 1
 
0.9%
187-11 1
 
0.9%
야외음악당로47길 1
 
0.9%
Other values (43) 43
39.4%
2023-12-11T05:06:21.344821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
82
15.7%
구 60
 
11.5%
대 34
 
6.5%
달 33
 
6.3%
서 31
 
6.0%
역 27
 
5.2%
시 27
 
5.2%
광 27
 
5.2%
로 25
 
4.8%
1 17
 
3.3%
Other values (45) 158
30.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 340
65.3%
Decimal Number 91
 
17.5%
Space Separator 82
 
15.7%
Dash Punctuation 5
 
1.0%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 60
17.6%
대 34
10.0%
달 33
9.7%
서 31
9.1%
역 27
7.9%
시 27
7.9%
광 27
7.9%
로 25
7.4%
길 14
 
4.1%
동 5
 
1.5%
Other values (30) 57
16.8%
Decimal Number
ValueCountFrequency (%)
1 17
18.7%
2 15
16.5%
3 13
14.3%
4 11
12.1%
7 11
12.1%
9 8
8.8%
6 7
7.7%
8 4
 
4.4%
0 3
 
3.3%
5 2
 
2.2%
Space Separator
ValueCountFrequency (%)
82
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 340
65.3%
Common 181
34.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 60
17.6%
대 34
10.0%
달 33
9.7%
서 31
9.1%
역 27
7.9%
시 27
7.9%
광 27
7.9%
로 25
7.4%
길 14
 
4.1%
동 5
 
1.5%
Other values (30) 57
16.8%
Common
ValueCountFrequency (%)
82
45.3%
1 17
 
9.4%
2 15
 
8.3%
3 13
 
7.2%
4 11
 
6.1%
7 11
 
6.1%
9 8
 
4.4%
6 7
 
3.9%
- 5
 
2.8%
8 4
 
2.2%
Other values (5) 8
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 340
65.3%
ASCII 181
34.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
82
45.3%
1 17
 
9.4%
2 15
 
8.3%
3 13
 
7.2%
4 11
 
6.1%
7 11
 
6.1%
9 8
 
4.4%
6 7
 
3.9%
- 5
 
2.8%
8 4
 
2.2%
Other values (5) 8
 
4.4%
Hangul
ValueCountFrequency (%)
구 60
17.6%
대 34
10.0%
달 33
9.7%
서 31
9.1%
역 27
7.9%
시 27
7.9%
광 27
7.9%
로 25
7.4%
길 14
 
4.1%
동 5
 
1.5%
Other values (30) 57
16.8%

소재지지번주소
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-11T05:06:21.661819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length18.962963
Min length16

Characters and Unicode

Total characters512
Distinct characters45
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

Unique27 ?
Unique (%)100.0%

Sample

1st row대구광역시 달서구 두류동 486-1
2nd row대구광역시 달서구 성당동 704-5
3rd row대구광역시 달서구 감삼동 55-5
4th row대구광역시 달서구 진천동 241-3
5th row대구광역시 달서구 송현동 1941-3
ValueCountFrequency (%)
대구광역시 27
25.0%
달서구 27
25.0%
두류동 5
 
4.6%
상인동 4
 
3.7%
진천동 2
 
1.9%
용산동 2
 
1.9%
송현동 2
 
1.9%
도원동 2
 
1.9%
감삼동 2
 
1.9%
성당동 2
 
1.9%
Other values (33) 33
30.6%
2023-12-11T05:06:22.187033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
81
15.8%
구 54
 
10.5%
1 28
 
5.5%
달 27
 
5.3%
동 27
 
5.3%
서 27
 
5.3%
대 27
 
5.3%
시 27
 
5.3%
역 27
 
5.3%
광 27
 
5.3%
Other values (35) 160
31.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 296
57.8%
Decimal Number 112
 
21.9%
Space Separator 81
 
15.8%
Dash Punctuation 22
 
4.3%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 54
18.2%
달 27
9.1%
동 27
9.1%
서 27
9.1%
대 27
9.1%
시 27
9.1%
역 27
9.1%
광 27
9.1%
두 5
 
1.7%
류 5
 
1.7%
Other values (22) 43
14.5%
Decimal Number
ValueCountFrequency (%)
1 28
25.0%
2 15
13.4%
4 14
12.5%
3 12
10.7%
5 11
 
9.8%
9 9
 
8.0%
6 8
 
7.1%
8 6
 
5.4%
7 6
 
5.4%
0 3
 
2.7%
Space Separator
ValueCountFrequency (%)
81
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 296
57.8%
Common 216
42.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 54
18.2%
달 27
9.1%
동 27
9.1%
서 27
9.1%
대 27
9.1%
시 27
9.1%
역 27
9.1%
광 27
9.1%
두 5
 
1.7%
류 5
 
1.7%
Other values (22) 43
14.5%
Common
ValueCountFrequency (%)
81
37.5%
1 28
 
13.0%
- 22
 
10.2%
2 15
 
6.9%
4 14
 
6.5%
3 12
 
5.6%
5 11
 
5.1%
9 9
 
4.2%
6 8
 
3.7%
8 6
 
2.8%
Other values (3) 10
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 296
57.8%
ASCII 216
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
81
37.5%
1 28
 
13.0%
- 22
 
10.2%
2 15
 
6.9%
4 14
 
6.5%
3 12
 
5.6%
5 11
 
5.1%
9 9
 
4.2%
6 8
 
3.7%
8 6
 
2.8%
Other values (3) 10
 
4.6%
Hangul
ValueCountFrequency (%)
구 54
18.2%
달 27
9.1%
동 27
9.1%
서 27
9.1%
대 27
9.1%
시 27
9.1%
역 27
9.1%
광 27
9.1%
두 5
 
1.7%
류 5
 
1.7%
Other values (22) 43
14.5%

시장개설주기
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
매일
27 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
매일 27
100.0%

Length

2023-12-11T05:06:22.436538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:06:22.614164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
매일 27
100.0%

위도
Real number (ℝ)

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.837335
Minimum35.807586
Maximum35.860547
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-11T05:06:22.783078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.807586
5-th percentile35.808034
Q135.819919
median35.840377
Q335.85547
95-th percentile35.858389
Maximum35.860547
Range0.05296173
Interquartile range (IQR)0.035551195

Descriptive statistics

Standard deviation0.019183246
Coefficient of variation (CV)0.00053528663
Kurtosis-1.5568463
Mean35.837335
Median Absolute Deviation (MAD)0.01585483
Skewness-0.32699068
Sum967.60804
Variance0.00036799694
MonotonicityNot monotonic
2023-12-11T05:06:23.023203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
35.85461485 1
 
3.7%
35.84548802 1
 
3.7%
35.85598482 1
 
3.7%
35.84527578 1
 
3.7%
35.8173008 1
 
3.7%
35.8225367 1
 
3.7%
35.8562329 1
 
3.7%
35.8366903 1
 
3.7%
35.82753343 1
 
3.7%
35.83921358 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
35.80758561 1
3.7%
35.8076078 1
3.7%
35.8090281 1
3.7%
35.81166724 1
3.7%
35.8132487 1
3.7%
35.81407487 1
3.7%
35.8173008 1
3.7%
35.8225367 1
3.7%
35.8226744 1
3.7%
35.82717 1
3.7%
ValueCountFrequency (%)
35.86054734 1
3.7%
35.85853335 1
3.7%
35.85805219 1
3.7%
35.8562329 1
3.7%
35.85623203 1
3.7%
35.85598482 1
3.7%
35.85580103 1
3.7%
35.85513886 1
3.7%
35.85506702 1
3.7%
35.85461485 1
3.7%

경도
Real number (ℝ)

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.53856
Minimum128.49137
Maximum128.57087
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-11T05:06:23.241024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.49137
5-th percentile128.50067
Q1128.53114
median128.5442
Q3128.54975
95-th percentile128.55979
Maximum128.57087
Range0.0794997
Interquartile range (IQR)0.01861085

Descriptive statistics

Standard deviation0.018321998
Coefficient of variation (CV)0.00014254087
Kurtosis1.1801175
Mean128.53856
Median Absolute Deviation (MAD)0.0089013
Skewness-1.0253415
Sum3470.541
Variance0.00033569561
MonotonicityNot monotonic
2023-12-11T05:06:23.476779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
128.5538763 1
 
3.7%
128.5451448 1
 
3.7%
128.5538085 1
 
3.7%
128.5462282 1
 
3.7%
128.5429645 1
 
3.7%
128.5352953 1
 
3.7%
128.5031315 1
 
3.7%
128.547078 1
 
3.7%
128.5311094 1
 
3.7%
128.4913669 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
128.4913669 1
3.7%
128.4996139 1
3.7%
128.5031315 1
3.7%
128.5213738 1
3.7%
128.527401 1
3.7%
128.5279185 1
3.7%
128.5311094 1
3.7%
128.5311695 1
3.7%
128.5352953 1
3.7%
128.5354576 1
3.7%
ValueCountFrequency (%)
128.5708666 1
3.7%
128.5620306 1
3.7%
128.5545711 1
3.7%
128.5538763 1
3.7%
128.5538085 1
3.7%
128.551535 1
3.7%
128.5513244 1
3.7%
128.5481762 1
3.7%
128.547078 1
3.7%
128.5462282 1
3.7%

점포수
Real number (ℝ)

Distinct24
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.074074
Minimum10
Maximum212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-11T05:06:24.099793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile18
Q139.5
median69
Q397.5
95-th percentile144.9
Maximum212
Range202
Interquartile range (IQR)58

Descriptive statistics

Standard deviation47.283048
Coefficient of variation (CV)0.64705641
Kurtosis1.4463406
Mean73.074074
Median Absolute Deviation (MAD)31
Skewness1.0688634
Sum1973
Variance2235.6866
MonotonicityNot monotonic
2023-12-11T05:06:24.317558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
53 3
 
11.1%
18 2
 
7.4%
95 1
 
3.7%
77 1
 
3.7%
69 1
 
3.7%
31 1
 
3.7%
10 1
 
3.7%
24 1
 
3.7%
88 1
 
3.7%
78 1
 
3.7%
Other values (14) 14
51.9%
ValueCountFrequency (%)
10 1
 
3.7%
18 2
7.4%
20 1
 
3.7%
24 1
 
3.7%
31 1
 
3.7%
35 1
 
3.7%
44 1
 
3.7%
53 3
11.1%
54 1
 
3.7%
60 1
 
3.7%
ValueCountFrequency (%)
212 1
3.7%
147 1
3.7%
140 1
3.7%
138 1
3.7%
106 1
3.7%
105 1
3.7%
100 1
3.7%
95 1
3.7%
88 1
3.7%
78 1
3.7%

취급품목
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

사용가능상품권
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
온누리상품권
27 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
온누리상품권 27
100.0%

Length

2023-12-11T05:06:24.532081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:06:24.713241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
온누리상품권 27
100.0%

홈페이지주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

공중화장실보유여부
Boolean

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size159.0 B
True
24 
False
3 
ValueCountFrequency (%)
True 24
88.9%
False 3
 
11.1%
2023-12-11T05:06:24.873971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

주차장보유여부
Boolean

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size159.0 B
False
23 
True
4 
ValueCountFrequency (%)
False 23
85.2%
True 4
 
14.8%
2023-12-11T05:06:25.033541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

개설년도
Real number (ℝ)

Distinct16
Distinct (%)59.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1999.9259
Minimum1970
Maximum2015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-11T05:06:25.202834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1970
5-th percentile1981.6
Q11990.5
median2006
Q32009
95-th percentile2014.4
Maximum2015
Range45
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation12.618442
Coefficient of variation (CV)0.0063094545
Kurtosis-0.63328047
Mean1999.9259
Median Absolute Deviation (MAD)7
Skewness-0.7194701
Sum53998
Variance159.22507
MonotonicityNot monotonic
2023-12-11T05:06:25.390693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2007 4
14.8%
2006 3
11.1%
2009 2
 
7.4%
2015 2
 
7.4%
1994 2
 
7.4%
1993 2
 
7.4%
1984 2
 
7.4%
2013 2
 
7.4%
2011 1
 
3.7%
1983 1
 
3.7%
Other values (6) 6
22.2%
ValueCountFrequency (%)
1970 1
 
3.7%
1981 1
 
3.7%
1983 1
 
3.7%
1984 2
7.4%
1985 1
 
3.7%
1988 1
 
3.7%
1993 2
7.4%
1994 2
7.4%
2006 3
11.1%
2007 4
14.8%
ValueCountFrequency (%)
2015 2
7.4%
2013 2
7.4%
2011 1
 
3.7%
2010 1
 
3.7%
2009 2
7.4%
2008 1
 
3.7%
2007 4
14.8%
2006 3
11.1%
1994 2
7.4%
1993 2
7.4%

전화번호
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing5
Missing (%)18.5%
Memory size348.0 B
2023-12-11T05:06:25.666974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters264
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

Unique22 ?
Unique (%)100.0%

Sample

1st row053-651-3940
2nd row053-651-1301
3rd row053-565-3226
4th row053-632-3265
5th row053-624-9007
ValueCountFrequency (%)
053-638-1195 1
 
4.5%
053-565-3226 1
 
4.5%
053-583-0233 1
 
4.5%
053-637-1407 1
 
4.5%
053-638-0552 1
 
4.5%
053-582-5236 1
 
4.5%
053-624-1271 1
 
4.5%
053-586-1164 1
 
4.5%
053-629-8015 1
 
4.5%
053-638-5253 1
 
4.5%
Other values (12) 12
54.5%
2023-12-11T05:06:26.152416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 48
18.2%
- 44
16.7%
3 40
15.2%
0 33
12.5%
6 27
10.2%
2 24
9.1%
1 19
 
7.2%
8 9
 
3.4%
9 7
 
2.7%
7 7
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 220
83.3%
Dash Punctuation 44
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 48
21.8%
3 40
18.2%
0 33
15.0%
6 27
12.3%
2 24
10.9%
1 19
 
8.6%
8 9
 
4.1%
9 7
 
3.2%
7 7
 
3.2%
4 6
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 264
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 48
18.2%
- 44
16.7%
3 40
15.2%
0 33
12.5%
6 27
10.2%
2 24
9.1%
1 19
 
7.2%
8 9
 
3.4%
9 7
 
2.7%
7 7
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 264
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 48
18.2%
- 44
16.7%
3 40
15.2%
0 33
12.5%
6 27
10.2%
2 24
9.1%
1 19
 
7.2%
8 9
 
3.4%
9 7
 
2.7%
7 7
 
2.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
2019-09-18
27 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-09-18
2nd row2019-09-18
3rd row2019-09-18
4th row2019-09-18
5th row2019-09-18

Common Values

ValueCountFrequency (%)
2019-09-18 27
100.0%

Length

2023-12-11T05:06:26.386341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:06:26.551776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-09-18 27
100.0%

Interactions

2023-12-11T05:06:17.996937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:06:16.153685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:06:16.758111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:06:17.388351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:06:18.131144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:06:16.303694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:06:16.905320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:06:17.536261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:06:18.294832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:06:16.453403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:06:17.070725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:06:17.694952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:06:18.520877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:06:16.615485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:06:17.245286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:06:17.854150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T05:06:26.659275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시장명소재지도로명주소소재지지번주소위도경도점포수공중화장실보유여부주차장보유여부개설년도전화번호
시장명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
위도1.0001.0001.0001.0000.1250.5920.1020.4070.4021.000
경도1.0001.0001.0000.1251.0000.0000.0000.0000.3301.000
점포수1.0001.0001.0000.5920.0001.0000.0000.0000.6291.000
공중화장실보유여부1.0001.0001.0000.1020.0000.0001.0000.0000.6241.000
주차장보유여부1.0001.0001.0000.4070.0000.0000.0001.0000.0001.000
개설년도1.0001.0001.0000.4020.3300.6290.6240.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-11T05:06:26.849895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공중화장실보유여부주차장보유여부
공중화장실보유여부1.0000.000
주차장보유여부0.0001.000
2023-12-11T05:06:27.002477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도점포수개설년도공중화장실보유여부주차장보유여부
위도1.0000.2190.0860.0060.0000.331
경도0.2191.000-0.111-0.1300.0000.000
점포수0.086-0.1111.0000.2030.0000.000
개설년도0.006-0.1300.2031.0000.3700.000
공중화장실보유여부0.0000.0000.0000.3701.0000.000
주차장보유여부0.3310.0000.0000.0000.0001.000

Missing values

2023-12-11T05:06:18.789771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T05:06:19.132221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

시장명시장유형소재지도로명주소소재지지번주소시장개설주기위도경도점포수취급품목사용가능상품권홈페이지주소공중화장실보유여부주차장보유여부개설년도전화번호데이터기준일자
0신내당시장상설장대구광역시 달서구 야외음악당로39길 62대구광역시 달서구 두류동 486-1매일35.854615128.55387695<NA>온누리상품권<NA>YN1981053-651-39402019-09-18
1두류종합시장상설장대구광역시 달서구 당산동길 9대구광역시 달서구 성당동 704-5매일35.845488128.545145138<NA>온누리상품권<NA>YN1984053-651-13012019-09-18
2서남시장상설장대구광역시 달서구 달구벌대로329길 17대구광역시 달서구 감삼동 55-5매일35.854366128.5452144<NA>온누리상품권<NA>YY1984053-565-32262019-09-18
3월배시장상설장대구광역시 달서구 월배로24길 13대구광역시 달서구 진천동 241-3매일35.814075128.527401105<NA>온누리상품권<NA>YN1985053-632-32652019-09-18
4송경종합시장상설장대구광역시 달서구 앞산순환로49길 73대구광역시 달서구 송현동 1941-3매일35.82717128.55153520<NA>온누리상품권<NA>YN1988053-624-90072019-09-18
5서대구시장상설장대구광역시 달서구 명덕로2길 30대구광역시 달서구 두류동 1216-1매일35.860547128.57086735<NA>온누리상품권<NA>YN1970053-626-99812019-09-18
6서남신시장상설장대구광역시 달서구 달구벌대로329길 32, (감삼동)대구광역시 달서구 감삼동 56-18매일35.855067128.545609140<NA>온누리상품권<NA>YY2006053-562-12222019-09-18
7달서시장상설장대구광역시 달서구 당산로 35대구광역시 달서구 본리동 145-2,5매일35.840377128.544197212<NA>온누리상품권<NA>YN2006053-524-57162019-09-18
8와룡시장상설장대구광역시 달서구 성서서로 347-1대구광역시 달서구 신당동 1763-9매일35.856232128.499614147<NA>온누리상품권<NA>YN2006053-587-33322019-09-18
9송현주공시장상설장대구광역시 달서구 송현로12안길 38대구광역시 달서구 송현동 1948-3매일35.822674128.54817653<NA>온누리상품권<NA>YY2007<NA>2019-09-18
시장명시장유형소재지도로명주소소재지지번주소시장개설주기위도경도점포수취급품목사용가능상품권홈페이지주소공중화장실보유여부주차장보유여부개설년도전화번호데이터기준일자
17월배신시장상설장대구광역시 달서구 월배로28안길 54대구광역시 달서구 진천동 239-23매일35.813249128.52791853<NA>온누리상품권<NA>YN2013053-638-52532019-09-18
18신내당시장 상점가상설장대구광역시 달서구 달구벌대로 1726-16대구광역시 달서구 두류동 489-6매일35.855801128.55457178<NA>온누리상품권<NA>YN2009053-629-80152019-09-18
19성서아울렛타운상설장대구광역시 달서구 달서대로 447대구광역시 달서구 호림동 21-3매일35.839214128.49136788<NA>온누리상품권<NA>YN2013053-586-11642019-09-18
20월성청구상설장대구광역시 달서구 학산로 17대구광역시 달서구 월성동 89-2매일35.827533128.53110924<NA>온누리상품권<NA>YY1993<NA>2019-09-18
21달서송림상설장대구광역시 달서구 구마로 176대구광역시 달서구 본동 225-1매일35.83669128.54707818<NA>온누리상품권<NA>NN1983053-624-12712019-09-18
22성서보성화성상가상설장대구광역시 달서구 계대동문로 99대구광역시 달서구 이곡동 1191매일35.856233128.50313110<NA>온누리상품권<NA>YN1994053-582-52362019-09-18
23보성은하상가상설장대구광역시 달서구 월곡로 320대구광역시 달서구 상인동 42매일35.822537128.53529518<NA>온누리상품권<NA>YN1994053-638-05522019-09-18
24상인영남화성상가상설장대구광역시 달서구 상인서로 76대구광역시 달서구 상인동 1517매일35.817301128.54296531<NA>온누리상품권<NA>YN1993053-637-14072019-09-18
25두류신시장상설장대구광역시 달서구 당산동길 27대구광역시 달서구 성당동 706-21매일35.845276128.54622869<NA>온누리상품권<NA>NN2015<NA>2019-09-18
26두류젊음의 광장상설장대구광역시 달서구 달구벌대로344길 1대구광역시 달서구 두류동 490-5매일35.855985128.55380953<NA>온누리상품권<NA>NN2015053-651-22002019-09-18