Overview

Dataset statistics

Number of variables9
Number of observations35
Missing cells2
Missing cells (%)0.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory78.8 B

Variable types

Numeric3
Text5
Categorical1

Dataset

Description부산광역시 연제구 자원봉사 할인가맹점(업체명, 소재지, 연락처, 할인내용, 할인대상자 확인방법 등) 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15037400/fileData.do

Alerts

할인대상자확인방법 has constant value ""Constant
연번 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 연번High correlation
연락처 has 2 (5.7%) missing valuesMissing
연번 has unique valuesUnique
가맹점명 has unique valuesUnique
새주소 has unique valuesUnique
지번주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:17:42.752180
Analysis finished2023-12-12 00:17:44.401766
Duration1.65 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18
Minimum1
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-12T09:17:44.479080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.7
Q19.5
median18
Q326.5
95-th percentile33.3
Maximum35
Range34
Interquartile range (IQR)17

Descriptive statistics

Standard deviation10.246951
Coefficient of variation (CV)0.56927504
Kurtosis-1.2
Mean18
Median Absolute Deviation (MAD)9
Skewness0
Sum630
Variance105
MonotonicityStrictly increasing
2023-12-12T09:17:44.611755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
1 1
 
2.9%
2 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
27 1
 
2.9%
28 1
 
2.9%
Other values (25) 25
71.4%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
35 1
2.9%
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%

가맹점명
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T09:17:44.845357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7
Mean length5.5428571
Min length3

Characters and Unicode

Total characters194
Distinct characters114
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)100.0%

Sample

1st row서울깍두기연산점
2nd row모가네버섯마을
3rd row꽃뿐이네
4th row하나공인중개사
5th row날마다대패가
ValueCountFrequency (%)
서울깍두기연산점 1
 
2.9%
동명당안경원 1
 
2.9%
사진찍는날 1
 
2.9%
연산명오리 1
 
2.9%
연동한의원 1
 
2.9%
지노블라인드 1
 
2.9%
예삐공방 1
 
2.9%
삼우정 1
 
2.9%
교대사진관 1
 
2.9%
연동갈비 1
 
2.9%
Other values (25) 25
71.4%
2023-12-12T09:17:45.292370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9
 
4.6%
7
 
3.6%
5
 
2.6%
5
 
2.6%
5
 
2.6%
4
 
2.1%
4
 
2.1%
4
 
2.1%
4
 
2.1%
3
 
1.5%
Other values (104) 144
74.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 192
99.0%
Other Symbol 1
 
0.5%
Uppercase Letter 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9
 
4.7%
7
 
3.6%
5
 
2.6%
5
 
2.6%
5
 
2.6%
4
 
2.1%
4
 
2.1%
4
 
2.1%
4
 
2.1%
3
 
1.6%
Other values (102) 142
74.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%
Uppercase Letter
ValueCountFrequency (%)
R 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 193
99.5%
Latin 1
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9
 
4.7%
7
 
3.6%
5
 
2.6%
5
 
2.6%
5
 
2.6%
4
 
2.1%
4
 
2.1%
4
 
2.1%
4
 
2.1%
3
 
1.6%
Other values (103) 143
74.1%
Latin
ValueCountFrequency (%)
R 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 192
99.0%
None 1
 
0.5%
ASCII 1
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
9
 
4.7%
7
 
3.6%
5
 
2.6%
5
 
2.6%
5
 
2.6%
4
 
2.1%
4
 
2.1%
4
 
2.1%
4
 
2.1%
3
 
1.6%
Other values (102) 142
74.0%
None
ValueCountFrequency (%)
1
100.0%
ASCII
ValueCountFrequency (%)
R 1
100.0%

새주소
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T09:17:45.540743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length26.942857
Min length16

Characters and Unicode

Total characters943
Distinct characters78
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

Unique35 ?
Unique (%)100.0%

Sample

1st row부산광역시 연제구 거제천로154번길41,(연산동,성우로하스캐슬)
2nd row부산광역시 연제구 거제천로118번길23,1층101호상가(연산동,엔학미지앙)
3rd row부산광역시 연제구 신촌로11,1층(연산동,시청역이지팰리스1차)
4th row부산광역시 연제구 월드컵대로153번길 98, 101호(연산동)
5th row부산광역시 연제구 월드컵대로173번길,1층(연산동,샤이나오피스텔)
ValueCountFrequency (%)
부산광역시 35
31.8%
연제구 35
31.8%
교대로9,교대역3호번출구(거제동 1
 
0.9%
반송로50-8,(연산동 1
 
0.9%
과정로289,2층(연산동 1
 
0.9%
과정로314,연산동(연산동 1
 
0.9%
과정로320 1
 
0.9%
과정로291,1층(연산동 1
 
0.9%
과정로329,(연산동 1
 
0.9%
과정로344번길26,(연산동 1
 
0.9%
Other values (32) 32
29.1%
2023-12-12T09:17:45.931628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
75
 
8.0%
66
 
7.0%
64
 
6.8%
1 44
 
4.7%
43
 
4.6%
38
 
4.0%
37
 
3.9%
37
 
3.9%
36
 
3.8%
36
 
3.8%
Other values (68) 467
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 607
64.4%
Decimal Number 156
 
16.5%
Space Separator 75
 
8.0%
Other Punctuation 36
 
3.8%
Close Punctuation 33
 
3.5%
Open Punctuation 33
 
3.5%
Dash Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
66
 
10.9%
64
 
10.5%
43
 
7.1%
38
 
6.3%
37
 
6.1%
37
 
6.1%
36
 
5.9%
36
 
5.9%
35
 
5.8%
35
 
5.8%
Other values (53) 180
29.7%
Decimal Number
ValueCountFrequency (%)
1 44
28.2%
2 23
14.7%
0 19
12.2%
3 15
 
9.6%
4 14
 
9.0%
5 10
 
6.4%
8 10
 
6.4%
6 9
 
5.8%
9 7
 
4.5%
7 5
 
3.2%
Space Separator
ValueCountFrequency (%)
75
100.0%
Other Punctuation
ValueCountFrequency (%)
, 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 607
64.4%
Common 336
35.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
66
 
10.9%
64
 
10.5%
43
 
7.1%
38
 
6.3%
37
 
6.1%
37
 
6.1%
36
 
5.9%
36
 
5.9%
35
 
5.8%
35
 
5.8%
Other values (53) 180
29.7%
Common
ValueCountFrequency (%)
75
22.3%
1 44
13.1%
, 36
10.7%
) 33
9.8%
( 33
9.8%
2 23
 
6.8%
0 19
 
5.7%
3 15
 
4.5%
4 14
 
4.2%
5 10
 
3.0%
Other values (5) 34
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 607
64.4%
ASCII 336
35.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
75
22.3%
1 44
13.1%
, 36
10.7%
) 33
9.8%
( 33
9.8%
2 23
 
6.8%
0 19
 
5.7%
3 15
 
4.5%
4 14
 
4.2%
5 10
 
3.0%
Other values (5) 34
10.1%
Hangul
ValueCountFrequency (%)
66
 
10.9%
64
 
10.5%
43
 
7.1%
38
 
6.3%
37
 
6.1%
37
 
6.1%
36
 
5.9%
36
 
5.9%
35
 
5.8%
35
 
5.8%
Other values (53) 180
29.7%

지번주소
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T09:17:46.180291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length33
Mean length23.4
Min length19

Characters and Unicode

Total characters819
Distinct characters64
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

Unique35 ?
Unique (%)100.0%

Sample

1st row부산광역시 연제구 연산동1143-2번지성우로하스캐슬
2nd row부산광역시 연제구 연산동1480-12번지엔학미지앙1층상가101호
3rd row부산광역시 연제구 연산동1355-6번지시청역이지팰리스1차1층
4th row부산광역시 연제구 연산동 1495-13번지
5th row부산광역시 연제구 연산동1142-7번지,1층사이나오피스텔
ValueCountFrequency (%)
부산광역시 35
32.7%
연제구 35
32.7%
연산동 2
 
1.9%
연산동1051-10번지3층 1
 
0.9%
연산동313-44번지 1
 
0.9%
연산동337-31번지 1
 
0.9%
연산동590-42번지 1
 
0.9%
연산동368-3번지2층 1
 
0.9%
연산동309-9번지연산동 1
 
0.9%
연산동309-5번지 1
 
0.9%
Other values (28) 28
26.2%
2023-12-12T09:17:46.620292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
72
 
8.8%
65
 
7.9%
65
 
7.9%
40
 
4.9%
1 40
 
4.9%
37
 
4.5%
37
 
4.5%
36
 
4.4%
36
 
4.4%
36
 
4.4%
Other values (54) 355
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 522
63.7%
Decimal Number 189
 
23.1%
Space Separator 72
 
8.8%
Dash Punctuation 35
 
4.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
65
12.5%
65
12.5%
40
7.7%
37
 
7.1%
37
 
7.1%
36
 
6.9%
36
 
6.9%
36
 
6.9%
36
 
6.9%
35
 
6.7%
Other values (41) 99
19.0%
Decimal Number
ValueCountFrequency (%)
1 40
21.2%
3 25
13.2%
2 20
10.6%
0 19
10.1%
9 17
9.0%
5 16
 
8.5%
4 14
 
7.4%
7 13
 
6.9%
8 13
 
6.9%
6 12
 
6.3%
Space Separator
ValueCountFrequency (%)
72
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 522
63.7%
Common 297
36.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
65
12.5%
65
12.5%
40
7.7%
37
 
7.1%
37
 
7.1%
36
 
6.9%
36
 
6.9%
36
 
6.9%
36
 
6.9%
35
 
6.7%
Other values (41) 99
19.0%
Common
ValueCountFrequency (%)
72
24.2%
1 40
13.5%
- 35
11.8%
3 25
 
8.4%
2 20
 
6.7%
0 19
 
6.4%
9 17
 
5.7%
5 16
 
5.4%
4 14
 
4.7%
7 13
 
4.4%
Other values (3) 26
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 522
63.7%
ASCII 297
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
72
24.2%
1 40
13.5%
- 35
11.8%
3 25
 
8.4%
2 20
 
6.7%
0 19
 
6.4%
9 17
 
5.7%
5 16
 
5.4%
4 14
 
4.7%
7 13
 
4.4%
Other values (3) 26
 
8.8%
Hangul
ValueCountFrequency (%)
65
12.5%
65
12.5%
40
7.7%
37
 
7.1%
37
 
7.1%
36
 
6.9%
36
 
6.9%
36
 
6.9%
36
 
6.9%
35
 
6.7%
Other values (41) 99
19.0%

위도
Real number (ℝ)

Distinct33
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.18687
Minimum35.180403
Maximum35.195974
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-12T09:17:46.777854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.180403
5-th percentile35.181332
Q135.183973
median35.186636
Q335.18886
95-th percentile35.195405
Maximum35.195974
Range0.01557048
Interquartile range (IQR)0.0048874

Descriptive statistics

Standard deviation0.0039920746
Coefficient of variation (CV)0.00011345353
Kurtosis0.11280714
Mean35.18687
Median Absolute Deviation (MAD)0.00266338
Skewness0.6114379
Sum1231.5405
Variance1.593666 × 10-5
MonotonicityNot monotonic
2023-12-12T09:17:46.970423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
35.18408381 2
 
5.7%
35.18397262 2
 
5.7%
35.18651747 1
 
2.9%
35.18497263 1
 
2.9%
35.18958416 1
 
2.9%
35.18827378 1
 
2.9%
35.18974175 1
 
2.9%
35.19110941 1
 
2.9%
35.186636 1
 
2.9%
35.18872973 1
 
2.9%
Other values (23) 23
65.7%
ValueCountFrequency (%)
35.18040306 1
2.9%
35.18046515 1
2.9%
35.18170354 1
2.9%
35.18242111 1
2.9%
35.18290872 1
2.9%
35.18297119 1
2.9%
35.1832464 1
2.9%
35.18389528 1
2.9%
35.18397262 2
5.7%
35.18408381 2
5.7%
ValueCountFrequency (%)
35.19597354 1
2.9%
35.19568906 1
2.9%
35.1952829 1
2.9%
35.19165 1
2.9%
35.19110941 1
2.9%
35.18974175 1
2.9%
35.18963556 1
2.9%
35.18958416 1
2.9%
35.18899031 1
2.9%
35.18872973 1
2.9%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct33
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.08464
Minimum129.06951
Maximum129.10845
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-12T09:17:47.150879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.06951
5-th percentile129.0729
Q1129.07865
median129.08124
Q3129.09243
95-th percentile129.09834
Maximum129.10845
Range0.038943
Interquartile range (IQR)0.0137858

Descriptive statistics

Standard deviation0.0091095371
Coefficient of variation (CV)7.0570264 × 10-5
Kurtosis-0.14844444
Mean129.08464
Median Absolute Deviation (MAD)0.0046388
Skewness0.61673197
Sum4517.9624
Variance8.2983667 × 10-5
MonotonicityNot monotonic
2023-12-12T09:17:47.308115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
129.0802078 2
 
5.7%
129.0805466 2
 
5.7%
129.0792079 1
 
2.9%
129.0846333 1
 
2.9%
129.0930395 1
 
2.9%
129.0954046 1
 
2.9%
129.0915593 1
 
2.9%
129.0918302 1
 
2.9%
129.0931098 1
 
2.9%
129.0858252 1
 
2.9%
Other values (23) 23
65.7%
ValueCountFrequency (%)
129.0695103 1
2.9%
129.0698605 1
2.9%
129.0742036 1
2.9%
129.076077 1
2.9%
129.0766028 1
2.9%
129.0766285 1
2.9%
129.077126 1
2.9%
129.0776932 1
2.9%
129.0785341 1
2.9%
129.078764 1
2.9%
ValueCountFrequency (%)
129.1084533 1
2.9%
129.0990847 1
2.9%
129.0980198 1
2.9%
129.0979361 1
2.9%
129.0956344 1
2.9%
129.0954046 1
2.9%
129.0933366 1
2.9%
129.0931098 1
2.9%
129.0930395 1
2.9%
129.0918302 1
2.9%
Distinct24
Distinct (%)68.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T09:17:47.556758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length12.771429
Min length5

Characters and Unicode

Total characters447
Distinct characters66
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)54.3%

Sample

1st row전메뉴10%(1인)
2nd row전메뉴(주류제외)5%(1인)
3rd row전품목10%
4th row매매및임대전10%
5th row전품목5%
ValueCountFrequency (%)
전체품목5%(동반 8
21.6%
일부(비급여)50%(동반1 2
 
5.4%
전체품목10%(1인 2
 
5.4%
전체품목5%(동반1 2
 
5.4%
일부품목(증명,여권사진등)10%(1인 2
 
5.4%
전메뉴(주류제외)5%(1인 1
 
2.7%
15 1
 
2.7%
비급여 1
 
2.7%
전메뉴10%(1인 1
 
2.7%
일부(결혼,장례,이장)10%(동반 1
 
2.7%
Other values (16) 16
43.2%
2023-12-12T09:17:47.932096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 41
 
9.2%
( 41
 
9.2%
% 35
 
7.8%
1 31
 
6.9%
22
 
4.9%
21
 
4.7%
21
 
4.7%
0 21
 
4.7%
19
 
4.3%
19
 
4.3%
Other values (56) 176
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 243
54.4%
Decimal Number 73
 
16.3%
Other Punctuation 47
 
10.5%
Close Punctuation 41
 
9.2%
Open Punctuation 41
 
9.2%
Space Separator 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
22
 
9.1%
21
 
8.6%
21
 
8.6%
19
 
7.8%
19
 
7.8%
16
 
6.6%
12
 
4.9%
10
 
4.1%
10
 
4.1%
9
 
3.7%
Other values (46) 84
34.6%
Decimal Number
ValueCountFrequency (%)
1 31
42.5%
0 21
28.8%
5 16
21.9%
2 4
 
5.5%
3 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
% 35
74.5%
, 12
 
25.5%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 243
54.4%
Common 204
45.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
22
 
9.1%
21
 
8.6%
21
 
8.6%
19
 
7.8%
19
 
7.8%
16
 
6.6%
12
 
4.9%
10
 
4.1%
10
 
4.1%
9
 
3.7%
Other values (46) 84
34.6%
Common
ValueCountFrequency (%)
) 41
20.1%
( 41
20.1%
% 35
17.2%
1 31
15.2%
0 21
10.3%
5 16
 
7.8%
, 12
 
5.9%
2 4
 
2.0%
2
 
1.0%
3 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 243
54.4%
ASCII 204
45.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 41
20.1%
( 41
20.1%
% 35
17.2%
1 31
15.2%
0 21
10.3%
5 16
 
7.8%
, 12
 
5.9%
2 4
 
2.0%
2
 
1.0%
3 1
 
0.5%
Hangul
ValueCountFrequency (%)
22
 
9.1%
21
 
8.6%
21
 
8.6%
19
 
7.8%
19
 
7.8%
16
 
6.6%
12
 
4.9%
10
 
4.1%
10
 
4.1%
9
 
3.7%
Other values (46) 84
34.6%

할인대상자확인방법
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
신분증&실적확인서&할인가맹점카드
35 

Length

Max length17
Median length17
Mean length17
Min length17

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row신분증&실적확인서&할인가맹점카드
2nd row신분증&실적확인서&할인가맹점카드
3rd row신분증&실적확인서&할인가맹점카드
4th row신분증&실적확인서&할인가맹점카드
5th row신분증&실적확인서&할인가맹점카드

Common Values

ValueCountFrequency (%)
신분증&실적확인서&할인가맹점카드 35
100.0%

Length

2023-12-12T09:17:48.061000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:17:48.162828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신분증&실적확인서&할인가맹점카드 35
100.0%

연락처
Text

MISSING 

Distinct33
Distinct (%)100.0%
Missing2
Missing (%)5.7%
Memory size412.0 B
2023-12-12T09:17:48.369349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters396
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

Unique33 ?
Unique (%)100.0%

Sample

1st row051-866-2229
2nd row051-853-0224
3rd row051-555-8383
4th row051-851-8955
5th row051-852-3938
ValueCountFrequency (%)
051-851-8071 1
 
3.0%
051-852-8459 1
 
3.0%
051-915-3055 1
 
3.0%
051-861-4779 1
 
3.0%
051-868-5204 1
 
3.0%
051-862-8674 1
 
3.0%
051-867-4443 1
 
3.0%
051-867-9339 1
 
3.0%
051-866-2229 1
 
3.0%
051-504-8586 1
 
3.0%
Other values (23) 23
69.7%
2023-12-12T09:17:48.722537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 66
16.7%
5 62
15.7%
0 61
15.4%
1 55
13.9%
8 44
11.1%
6 28
7.1%
2 20
 
5.1%
7 17
 
4.3%
9 16
 
4.0%
3 14
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 330
83.3%
Dash Punctuation 66
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 62
18.8%
0 61
18.5%
1 55
16.7%
8 44
13.3%
6 28
8.5%
2 20
 
6.1%
7 17
 
5.2%
9 16
 
4.8%
3 14
 
4.2%
4 13
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 396
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 66
16.7%
5 62
15.7%
0 61
15.4%
1 55
13.9%
8 44
11.1%
6 28
7.1%
2 20
 
5.1%
7 17
 
4.3%
9 16
 
4.0%
3 14
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 396
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 66
16.7%
5 62
15.7%
0 61
15.4%
1 55
13.9%
8 44
11.1%
6 28
7.1%
2 20
 
5.1%
7 17
 
4.3%
9 16
 
4.0%
3 14
 
3.5%

Interactions

2023-12-12T09:17:43.835238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:17:43.216990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:17:43.500060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:17:43.959906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:17:43.315277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:17:43.605341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:17:44.077714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:17:43.407413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:17:43.706063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:17:48.860719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번가맹점명새주소지번주소위도경도할인내용연락처
연번1.0001.0001.0001.0000.7190.7360.8361.000
가맹점명1.0001.0001.0001.0001.0001.0001.0001.000
새주소1.0001.0001.0001.0001.0001.0001.0001.000
지번주소1.0001.0001.0001.0001.0001.0001.0001.000
위도0.7191.0001.0001.0001.0000.7890.5351.000
경도0.7361.0001.0001.0000.7891.0000.0001.000
할인내용0.8361.0001.0001.0000.5350.0001.0001.000
연락처1.0001.0001.0001.0001.0001.0001.0001.000
2023-12-12T09:17:48.972112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.4800.524
위도0.4801.0000.465
경도0.5240.4651.000

Missing values

2023-12-12T09:17:44.221805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:17:44.354927image/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

연번가맹점명새주소지번주소위도경도할인내용할인대상자확인방법연락처
01서울깍두기연산점부산광역시 연제구 거제천로154번길41,(연산동,성우로하스캐슬)부산광역시 연제구 연산동1143-2번지성우로하스캐슬35.186517129.079208전메뉴10%(1인)신분증&실적확인서&할인가맹점카드051-866-2229
12모가네버섯마을부산광역시 연제구 거제천로118번길23,1층101호상가(연산동,엔학미지앙)부산광역시 연제구 연산동1480-12번지엔학미지앙1층상가101호35.183895129.076077전메뉴(주류제외)5%(1인)신분증&실적확인서&할인가맹점카드051-853-0224
23꽃뿐이네부산광역시 연제구 신촌로11,1층(연산동,시청역이지팰리스1차)부산광역시 연제구 연산동1355-6번지시청역이지팰리스1차1층35.182421129.076628전품목10%신분증&실적확인서&할인가맹점카드051-555-8383
34하나공인중개사부산광역시 연제구 월드컵대로153번길 98, 101호(연산동)부산광역시 연제구 연산동 1495-13번지35.182971129.076603매매및임대전10%신분증&실적확인서&할인가맹점카드051-851-8955
45날마다대패가부산광역시 연제구 월드컵대로173번길,1층(연산동,샤이나오피스텔)부산광역시 연제구 연산동1142-7번지,1층사이나오피스텔35.184084129.080208전품목5%신분증&실적확인서&할인가맹점카드051-852-3938
56금성녹두삼계탕부산광역시 연제구 시청로32번길2,(연산동)부산광역시 연제구 연산동1503-8번지35.181704129.074204삼계탕(음료수,주류제외)5%신분증&실적확인서&할인가맹점카드051-861-4930
67에리카사운드부산광역시 연제구 거제대로136,(거제동)부산광역시 연제구 거제동740-95번지35.180465129.06951일부(썬팅,네비,블랙박스등)30%신분증&실적확인서&할인가맹점카드051-851-0790
78연제사진스튜디오부산광역시 연제구 중앙대로1065,(연산동)부산광역시 연제구 연산동1385-1번지35.183246129.079099일부(증명,여권,가족사진,인화)10%(1인)신분증&실적확인서&할인가맹점카드051-864-1711
89다이아몬드호텔부산광역시 연제구 월드컵대로1645번길26부산광역시 연제구 월드컵대로1645번길2635.184084129.080208일부(숙박)10%(동반)신분증&실적확인서&할인가맹점카드051-867-1100
910㈜부연티엠에스부산광역시 연제구 중앙대로1078,10층1008호(연산동)부산광역시 연제구 연산동702-9번지10층1008호35.183973129.080547일부(비급여)50%(동반1)신분증&실적확인서&할인가맹점카드051-851-8071
연번가맹점명새주소지번주소위도경도할인내용할인대상자확인방법연락처
2526삼우정부산광역시 연제구 과정로344번길26,(연산동)부산광역시 연제구 연산동307-63번지35.191109129.09183전체품목5%(동반)신분증&실적확인서&할인가맹점카드051-862-1182
2627연동갈비부산광역시 연제구 연동로26-1,(연산동)부산광역시 연제구 연산동337-31번지35.186636129.09311전체품목5%(동반1)신분증&실적확인서&할인가맹점카드051-852-8459
2728충남반점부산광역시 연제구 반송로50-8,(연산동)부산광역시 연제구 연산동590-42번지35.18873129.085825전체품목5%(동반)신분증&실적확인서&할인가맹점카드051-866-0222
2829신선횟집부산광역시 연제구 고분로20번길15,(연산동)부산광역시 연제구 연산동637-18번지35.184973129.084633전체품목5%(동반)신분증&실적확인서&할인가맹점카드051-866-0209
2930송백고기식당부산광역시 연제구 고분로241번길35,(연산동)부산광역시 연제구 연산동471-38번지35.18619129.108453전체품목5%(동반1)신분증&실적확인서&할인가맹점카드051-752-3011
3031종가집부산광역시 연제구 중앙대로1038번길17,(연산동)부산광역시 연제구 연산동1595-39번지35.180403129.078534전체품목5%(동반)신분증&실적확인서&할인가맹점카드051-866-0010
3132평양냉면부산광역시 연제구 아시아드대로28번길13,(거제동)부산광역시 연제구 거제동1180-28번지35.187908129.069861전체품목5%(동반)신분증&실적확인서&할인가맹점카드051-504-3109
3233양지동물병원부산광역시 연제구 월드컵대로114번길1,(연산동)부산광역시 연제구 연산동746-12번지35.18462129.082707일부품목(미용용품제외)10%(1인)신분증&실적확인서&할인가맹점카드051-867-5595
3334그림공방부산광역시 연제구 과정로265번길4,3층(연산동)부산광역시 연제구 연산동1051-10번지3층35.18761129.09802전체품목10%(동반)신분증&실적확인서&할인가맹점카드<NA>
3435우리홈치과의원부산광역시 연제구 반송로 89 4층 401호(연산동)부산광역시 연제구 연산동 582-135.19165129.08854비급여 15% 할인(1인)신분증&실적확인서&할인가맹점카드051-867-8828