Overview

Dataset statistics

Number of variables11
Number of observations34
Missing cells17
Missing cells (%)4.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory93.9 B

Variable types

Text5
Numeric2
Categorical1
Boolean2
DateTime1

Dataset

Description부산광역시부산진구_전통시장_20230913
Author부산광역시 부산진구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15105693

Alerts

데이터기준일자 has constant value ""Constant
사용가능상품권 is highly overall correlated with 점포수 and 3 other fieldsHigh correlation
공중화장실보유여부 is highly overall correlated with 사용가능상품권High correlation
주차장보유여부 is highly overall correlated with 사용가능상품권High correlation
점포수 is highly overall correlated with 사용가능상품권High correlation
개설연도 is highly overall correlated with 사용가능상품권High correlation
사용가능상품권 is highly imbalanced (56.9%)Imbalance
점포수 has 2 (5.9%) missing valuesMissing
취급품목 has 3 (8.8%) missing valuesMissing
공중화장실보유여부 has 2 (5.9%) missing valuesMissing
주차장보유여부 has 2 (5.9%) missing valuesMissing
전화번호 has 8 (23.5%) missing valuesMissing
시장명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:35:36.975023
Analysis finished2023-12-10 17:35:40.123546
Duration3.15 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시장명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-11T02:35:40.462558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length5.7941176
Min length4

Characters and Unicode

Total characters197
Distinct characters65
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

Unique34 ?
Unique (%)100.0%

Sample

1st row부산평화시장
2nd row서면시장
3rd row당감시장
4th row부전시장
5th row수양시장
ValueCountFrequency (%)
서면지하도상가 2
 
5.6%
부산평화시장 1
 
2.8%
서면시장 1
 
2.8%
철뚝시장 1
 
2.8%
부전기장골목시장 1
 
2.8%
양정전통시장 1
 
2.8%
연지시장 1
 
2.8%
동평새시장 1
 
2.8%
당감새시장 1
 
2.8%
전포놀이터시장 1
 
2.8%
Other values (25) 25
69.4%
2023-12-11T02:35:41.240668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 28
 
14.2%
시 27
 
13.7%
전 9
 
4.6%
부 8
 
4.1%
가 7
 
3.6%
종 6
 
3.0%
서 6
 
3.0%
면 6
 
3.0%
합 6
 
3.0%
새 5
 
2.5%
Other values (55) 89
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 195
99.0%
Space Separator 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 28
 
14.4%
시 27
 
13.8%
전 9
 
4.6%
부 8
 
4.1%
가 7
 
3.6%
종 6
 
3.1%
서 6
 
3.1%
면 6
 
3.1%
합 6
 
3.1%
새 5
 
2.6%
Other values (54) 87
44.6%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 195
99.0%
Common 2
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 28
 
14.4%
시 27
 
13.8%
전 9
 
4.6%
부 8
 
4.1%
가 7
 
3.6%
종 6
 
3.1%
서 6
 
3.1%
면 6
 
3.1%
합 6
 
3.1%
새 5
 
2.6%
Other values (54) 87
44.6%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 195
99.0%
ASCII 2
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 28
 
14.4%
시 27
 
13.8%
전 9
 
4.6%
부 8
 
4.1%
가 7
 
3.6%
종 6
 
3.1%
서 6
 
3.1%
면 6
 
3.1%
합 6
 
3.1%
새 5
 
2.6%
Other values (54) 87
44.6%
ASCII
ValueCountFrequency (%)
2
100.0%

소재지도로명주소
Text

Distinct33
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-11T02:35:41.669911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16.5
Mean length13.794118
Min length10

Characters and Unicode

Total characters469
Distinct characters54
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

Unique32 ?
Unique (%)94.1%

Sample

1st row부산진구 자유평화로7
2nd row부산진구 서면로56
3rd row부산진구 백양대로60번길39-9
4th row부산진구 중앙대로783번길23
5th row부산진구 진사로63-7
ValueCountFrequency (%)
부산진구 34
43.6%
동평로 2
 
2.6%
7-1 2
 
2.6%
중앙대로783번길23 2
 
2.6%
백양대로60번길56 1
 
1.3%
21 1
 
1.3%
406번길 1
 
1.3%
39 1
 
1.3%
연지로 1
 
1.3%
95번길 1
 
1.3%
Other values (32) 32
41.0%
2023-12-11T02:35:42.354946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45
 
9.6%
부 37
 
7.9%
진 35
 
7.5%
구 34
 
7.2%
산 34
 
7.2%
로 34
 
7.2%
1 21
 
4.5%
6 20
 
4.3%
번 17
 
3.6%
길 17
 
3.6%
Other values (44) 175
37.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 293
62.5%
Decimal Number 124
26.4%
Space Separator 45
 
9.6%
Dash Punctuation 7
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 37
12.6%
진 35
11.9%
구 34
11.6%
산 34
11.6%
로 34
11.6%
번 17
 
5.8%
길 17
 
5.8%
대 10
 
3.4%
중 7
 
2.4%
앙 7
 
2.4%
Other values (32) 61
20.8%
Decimal Number
ValueCountFrequency (%)
1 21
16.9%
6 20
16.1%
7 16
12.9%
3 15
12.1%
2 11
8.9%
4 11
8.9%
5 10
8.1%
8 7
 
5.6%
0 7
 
5.6%
9 6
 
4.8%
Space Separator
ValueCountFrequency (%)
45
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 293
62.5%
Common 176
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 37
12.6%
진 35
11.9%
구 34
11.6%
산 34
11.6%
로 34
11.6%
번 17
 
5.8%
길 17
 
5.8%
대 10
 
3.4%
중 7
 
2.4%
앙 7
 
2.4%
Other values (32) 61
20.8%
Common
ValueCountFrequency (%)
45
25.6%
1 21
11.9%
6 20
11.4%
7 16
 
9.1%
3 15
 
8.5%
2 11
 
6.2%
4 11
 
6.2%
5 10
 
5.7%
8 7
 
4.0%
0 7
 
4.0%
Other values (2) 13
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 293
62.5%
ASCII 176
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
45
25.6%
1 21
11.9%
6 20
11.4%
7 16
 
9.1%
3 15
 
8.5%
2 11
 
6.2%
4 11
 
6.2%
5 10
 
5.7%
8 7
 
4.0%
0 7
 
4.0%
Other values (2) 13
 
7.4%
Hangul
ValueCountFrequency (%)
부 37
12.6%
진 35
11.9%
구 34
11.6%
산 34
11.6%
로 34
11.6%
번 17
 
5.8%
길 17
 
5.8%
대 10
 
3.4%
중 7
 
2.4%
앙 7
 
2.4%
Other values (32) 61
20.8%

소재지지번주소
Text

Distinct33
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-11T02:35:42.715903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length13.970588
Min length11

Characters and Unicode

Total characters475
Distinct characters33
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

Unique32 ?
Unique (%)94.1%

Sample

1st row부산진구 범천동 839-52
2nd row부산진구 부전동 256-6
3rd row부산진구 당감동 238-89
4th row부산진구 부전동 573
5th row부산진구 개금동 632-3
ValueCountFrequency (%)
부산진구 34
33.7%
부전동 11
 
10.9%
당감동 6
 
5.9%
개금동 4
 
4.0%
범천동 3
 
3.0%
가야동 2
 
2.0%
양정동 2
 
2.0%
573-1 2
 
2.0%
초읍동 2
 
2.0%
전포동 2
 
2.0%
Other values (33) 33
32.7%
2023-12-11T02:35:43.343322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
67
14.1%
부 45
 
9.5%
진 34
 
7.2%
구 34
 
7.2%
산 34
 
7.2%
동 34
 
7.2%
- 29
 
6.1%
2 22
 
4.6%
1 18
 
3.8%
3 18
 
3.8%
Other values (23) 140
29.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 238
50.1%
Decimal Number 141
29.7%
Space Separator 67
 
14.1%
Dash Punctuation 29
 
6.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 45
18.9%
진 34
14.3%
구 34
14.3%
산 34
14.3%
동 34
14.3%
전 13
 
5.5%
당 6
 
2.5%
감 6
 
2.5%
금 4
 
1.7%
개 4
 
1.7%
Other values (11) 24
10.1%
Decimal Number
ValueCountFrequency (%)
2 22
15.6%
1 18
12.8%
3 18
12.8%
7 17
12.1%
9 16
11.3%
6 15
10.6%
5 13
9.2%
8 9
6.4%
4 7
 
5.0%
0 6
 
4.3%
Space Separator
ValueCountFrequency (%)
67
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 238
50.1%
Common 237
49.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 45
18.9%
진 34
14.3%
구 34
14.3%
산 34
14.3%
동 34
14.3%
전 13
 
5.5%
당 6
 
2.5%
감 6
 
2.5%
금 4
 
1.7%
개 4
 
1.7%
Other values (11) 24
10.1%
Common
ValueCountFrequency (%)
67
28.3%
- 29
12.2%
2 22
 
9.3%
1 18
 
7.6%
3 18
 
7.6%
7 17
 
7.2%
9 16
 
6.8%
6 15
 
6.3%
5 13
 
5.5%
8 9
 
3.8%
Other values (2) 13
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 238
50.1%
ASCII 237
49.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
67
28.3%
- 29
12.2%
2 22
 
9.3%
1 18
 
7.6%
3 18
 
7.6%
7 17
 
7.2%
9 16
 
6.8%
6 15
 
6.3%
5 13
 
5.5%
8 9
 
3.8%
Other values (2) 13
 
5.5%
Hangul
ValueCountFrequency (%)
부 45
18.9%
진 34
14.3%
구 34
14.3%
산 34
14.3%
동 34
14.3%
전 13
 
5.5%
당 6
 
2.5%
감 6
 
2.5%
금 4
 
1.7%
개 4
 
1.7%
Other values (11) 24
10.1%

점포수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct28
Distinct (%)87.5%
Missing2
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean182.53125
Minimum2
Maximum900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-11T02:35:43.617659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile34.2
Q164
median97.5
Q3256.5
95-th percentile535
Maximum900
Range898
Interquartile range (IQR)192.5

Descriptive statistics

Standard deviation199.03784
Coefficient of variation (CV)1.0904316
Kurtosis5.3350276
Mean182.53125
Median Absolute Deviation (MAD)40
Skewness2.2014393
Sum5841
Variance39616.064
MonotonicityNot monotonic
2023-12-11T02:35:43.893909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
115 3
 
8.8%
61 2
 
5.9%
64 2
 
5.9%
85 1
 
2.9%
140 1
 
2.9%
79 1
 
2.9%
96 1
 
2.9%
83 1
 
2.9%
65 1
 
2.9%
324 1
 
2.9%
Other values (18) 18
52.9%
(Missing) 2
 
5.9%
ValueCountFrequency (%)
2 1
2.9%
32 1
2.9%
36 1
2.9%
43 1
2.9%
44 1
2.9%
61 2
5.9%
64 2
5.9%
65 1
2.9%
70 1
2.9%
79 1
2.9%
ValueCountFrequency (%)
900 1
2.9%
700 1
2.9%
400 1
2.9%
366 1
2.9%
341 1
2.9%
338 1
2.9%
331 1
2.9%
324 1
2.9%
234 1
2.9%
210 1
2.9%

취급품목
Text

MISSING 

Distinct21
Distinct (%)67.7%
Missing3
Missing (%)8.8%
Memory size404.0 B
2023-12-11T02:35:44.236740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length7.8709677
Min length4

Characters and Unicode

Total characters244
Distinct characters48
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

Unique15 ?
Unique (%)48.4%

Sample

1st row의류+신발 등
2nd row농수축산물
3rd row농수축산물
4th row농수축산물 외+생필품
5th row인삼+홍삼 등
ValueCountFrequency (%)
등 12
26.7%
과일+채소+잡화등 5
 
11.1%
농수축산물 4
 
8.9%
과일+채소등 2
 
4.4%
과일+채소+어류 2
 
4.4%
과일+채소+잡화 2
 
4.4%
의류+신발+잡화등 2
 
4.4%
잡화 1
 
2.2%
의류+신발 1
 
2.2%
도매 1
 
2.2%
Other values (13) 13
28.9%
2023-12-11T02:35:44.936103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 36
14.8%
등 22
 
9.0%
14
 
5.7%
과 13
 
5.3%
채 12
 
4.9%
소 12
 
4.9%
잡 12
 
4.9%
화 12
 
4.9%
일 12
 
4.9%
물 10
 
4.1%
Other values (38) 89
36.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 192
78.7%
Math Symbol 36
 
14.8%
Space Separator 14
 
5.7%
Other Punctuation 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
등 22
 
11.5%
과 13
 
6.8%
채 12
 
6.2%
소 12
 
6.2%
잡 12
 
6.2%
화 12
 
6.2%
일 12
 
6.2%
물 10
 
5.2%
류 10
 
5.2%
산 8
 
4.2%
Other values (35) 69
35.9%
Math Symbol
ValueCountFrequency (%)
+ 36
100.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 192
78.7%
Common 52
 
21.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
등 22
 
11.5%
과 13
 
6.8%
채 12
 
6.2%
소 12
 
6.2%
잡 12
 
6.2%
화 12
 
6.2%
일 12
 
6.2%
물 10
 
5.2%
류 10
 
5.2%
산 8
 
4.2%
Other values (35) 69
35.9%
Common
ValueCountFrequency (%)
+ 36
69.2%
14
 
26.9%
, 2
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 192
78.7%
ASCII 52
 
21.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 36
69.2%
14
 
26.9%
, 2
 
3.8%
Hangul
ValueCountFrequency (%)
등 22
 
11.5%
과 13
 
6.8%
채 12
 
6.2%
소 12
 
6.2%
잡 12
 
6.2%
화 12
 
6.2%
일 12
 
6.2%
물 10
 
5.2%
류 10
 
5.2%
산 8
 
4.2%
Other values (35) 69
35.9%

사용가능상품권
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
온누리상품권
31 
<NA>
 
3

Length

Max length6
Median length6
Mean length5.8235294
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row온누리상품권
2nd row온누리상품권
3rd row온누리상품권
4th row온누리상품권
5th row<NA>

Common Values

ValueCountFrequency (%)
온누리상품권 31
91.2%
<NA> 3
 
8.8%

Length

2023-12-11T02:35:45.287346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:35:45.599574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
온누리상품권 31
91.2%
na 3
 
8.8%

공중화장실보유여부
Boolean

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)6.2%
Missing2
Missing (%)5.9%
Memory size200.0 B
True
22 
False
10 
(Missing)
 
2
ValueCountFrequency (%)
True 22
64.7%
False 10
29.4%
(Missing) 2
 
5.9%
2023-12-11T02:35:45.856876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

주차장보유여부
Boolean

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)6.2%
Missing2
Missing (%)5.9%
Memory size200.0 B
False
22 
True
10 
(Missing)
 
2
ValueCountFrequency (%)
False 22
64.7%
True 10
29.4%
(Missing) 2
 
5.9%
2023-12-11T02:35:46.093645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

개설연도
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)47.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1977.5882
Minimum1950
Maximum2007
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-11T02:35:46.358586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1950
5-th percentile1961.7
Q11972
median1978
Q31981
95-th percentile1997.8
Maximum2007
Range57
Interquartile range (IQR)9

Descriptive statistics

Standard deviation11.287208
Coefficient of variation (CV)0.0057075624
Kurtosis2.2476618
Mean1977.5882
Median Absolute Deviation (MAD)5.5
Skewness0.10406547
Sum67238
Variance127.40107
MonotonicityNot monotonic
2023-12-11T02:35:46.629085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1970 4
11.8%
1978 4
11.8%
1981 4
11.8%
1975 3
8.8%
1980 3
8.8%
1972 3
8.8%
1982 2
 
5.9%
1985 2
 
5.9%
1950 2
 
5.9%
2007 1
 
2.9%
Other values (6) 6
17.6%
ValueCountFrequency (%)
1950 2
5.9%
1968 1
 
2.9%
1970 4
11.8%
1971 1
 
2.9%
1972 3
8.8%
1973 1
 
2.9%
1975 3
8.8%
1978 4
11.8%
1980 3
8.8%
1981 4
11.8%
ValueCountFrequency (%)
2007 1
 
2.9%
2003 1
 
2.9%
1995 1
 
2.9%
1990 1
 
2.9%
1985 2
5.9%
1982 2
5.9%
1981 4
11.8%
1980 3
8.8%
1978 4
11.8%
1975 3
8.8%

전화번호
Text

MISSING 

Distinct26
Distinct (%)100.0%
Missing8
Missing (%)23.5%
Memory size404.0 B
2023-12-11T02:35:46.971176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters312
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 (%)100.0%

Sample

1st row051-646-6561
2nd row051-806-5025
3rd row051-892-7391
4th row051-818-1091
5th row051-802-7070
ValueCountFrequency (%)
051-713-8265 1
 
3.8%
051-892-7391 1
 
3.8%
051-893-9513 1
 
3.8%
051-631-7092 1
 
3.8%
051-808-9117 1
 
3.8%
051-804-8937 1
 
3.8%
051-818-2212 1
 
3.8%
051-892-2606 1
 
3.8%
051-633-3275 1
 
3.8%
051-818-9454 1
 
3.8%
Other values (16) 16
61.5%
2023-12-11T02:35:47.549785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 52
16.7%
0 50
16.0%
1 44
14.1%
5 41
13.1%
8 32
10.3%
3 19
 
6.1%
6 18
 
5.8%
9 17
 
5.4%
7 16
 
5.1%
2 16
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 260
83.3%
Dash Punctuation 52
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 50
19.2%
1 44
16.9%
5 41
15.8%
8 32
12.3%
3 19
 
7.3%
6 18
 
6.9%
9 17
 
6.5%
7 16
 
6.2%
2 16
 
6.2%
4 7
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 312
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 52
16.7%
0 50
16.0%
1 44
14.1%
5 41
13.1%
8 32
10.3%
3 19
 
6.1%
6 18
 
5.8%
9 17
 
5.4%
7 16
 
5.1%
2 16
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 312
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 52
16.7%
0 50
16.0%
1 44
14.1%
5 41
13.1%
8 32
10.3%
3 19
 
6.1%
6 18
 
5.8%
9 17
 
5.4%
7 16
 
5.1%
2 16
 
5.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
Minimum2023-09-13 00:00:00
Maximum2023-09-13 00:00:00
2023-12-11T02:35:47.797950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:35:48.000695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T02:35:38.208021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:35:37.878439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:35:38.352656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:35:38.022694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:35:48.165173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시장명소재지도로명주소소재지지번주소점포수취급품목공중화장실보유여부주차장보유여부개설연도전화번호
시장명1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0000.9920.7980.8991.0001.0001.0001.000
소재지지번주소1.0000.9921.0000.0001.0001.0001.0000.3261.000
점포수1.0000.7980.0001.0000.6910.0000.5080.4421.000
취급품목1.0000.8991.0000.6911.0000.9290.5350.4391.000
공중화장실보유여부1.0001.0001.0000.0000.9291.0000.2480.3301.000
주차장보유여부1.0001.0001.0000.5080.5350.2481.0000.6001.000
개설연도1.0001.0000.3260.4420.4390.3300.6001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-11T02:35:48.386285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사용가능상품권공중화장실보유여부주차장보유여부
사용가능상품권1.0001.0001.000
공중화장실보유여부1.0001.0000.156
주차장보유여부1.0000.1561.000
2023-12-11T02:35:48.561968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
점포수개설연도사용가능상품권공중화장실보유여부주차장보유여부
점포수1.0000.1181.0000.0000.493
개설연도0.1181.0001.0000.1160.396
사용가능상품권1.0001.0001.0001.0001.000
공중화장실보유여부0.0000.1161.0001.0000.156
주차장보유여부0.4930.3961.0000.1561.000

Missing values

2023-12-11T02:35:38.613333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:35:38.981562image/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.
2023-12-11T02:35:39.932479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

시장명소재지도로명주소소재지지번주소점포수취급품목사용가능상품권공중화장실보유여부주차장보유여부개설연도전화번호데이터기준일자
0부산평화시장부산진구 자유평화로7부산진구 범천동 839-52900의류+신발 등온누리상품권YY1970051-646-65612023-09-13
1서면시장부산진구 서면로56부산진구 부전동 256-6210농수축산물온누리상품권YY1972051-806-50252023-09-13
2당감시장부산진구 백양대로60번길39-9부산진구 당감동 238-8943농수축산물온누리상품권YN1972051-892-73912023-09-13
3부전시장부산진구 중앙대로783번길23부산진구 부전동 573400농수축산물 외+생필품온누리상품권YN1975051-818-10912023-09-13
4수양시장부산진구 진사로63-7부산진구 개금동 632-3<NA><NA><NA><NA><NA>1975051-802-70702023-09-13
5부전인삼시장부산진구 중앙대로783번길23부산진구 부전동 573-361인삼+홍삼 등온누리상품권YN1978<NA>2023-09-13
6개금큰시장부산진구 엄광로15부산진구 개금동 615-2032생선+건어물 등온누리상품권YN1978<NA>2023-09-13
7종합새시장부산진구 냉정로160번길26부산진구 개금동 614-170<NA>온누리상품권YN1978<NA>2023-09-13
8성곡종합시장부산진구 새싹로207-6부산진구 초읍동271-644과일+채소+잡화등온누리상품권YN1978051-807-67732023-09-13
9초읍시장부산진구 성지로83번길 11부산진구 초읍동 22564과일+채소+잡화등온누리상품권YN1980051-809-06362023-09-13
시장명소재지도로명주소소재지지번주소점포수취급품목사용가능상품권공중화장실보유여부주차장보유여부개설연도전화번호데이터기준일자
24당감골목시장부산진구 당감로16번길33부산진구 당감동 262-77115과일,채소,잡화등온누리상품권NN1973<NA>2023-09-13
25개금골목시장부산진구 가야공원로14번길 85부산진구 개금동 173-5115과일+채소+잡화 등온누리상품권YN1975051-892-26062023-09-13
26전포놀이터시장부산진구 서전로67번길26부산진구 전포동 197-665과일+채소+잡화 등온누리상품권NN1972051-818-22122023-09-13
27당감새시장부산진구 백양대로60번길56부산진구 당감동 292-127115과일+채소+어류 등온누리상품권NN2007<NA>2023-09-13
28동평새시장부산진구 동평로 95번길 7-1부산진구 당감동 282-6864과일+채소+어류 등온누리상품권NN1970<NA>2023-09-13
29연지시장부산진구 연지로 7-1부산진구 연지동 179-583과일+채소등온누리상품권NN1970051-804-89372023-09-13
30양정전통시장부산진구 동평로 406번길 39부산진구 양정동 389-996과일+채소등온누리상품권NN1970<NA>2023-09-13
31부전기장골목시장부산진구 중앙대로775번길 21부산진구 부전동 341-7061수산물+농산물 등온누리상품권NN1950051-808-91172023-09-13
32철뚝시장부산진구 자유평화로3번길 14-15부산진구 범천동 839-3679농수산물 등온누리상품권NN1968051-631-70922023-09-13
33쥬디스태화부산진구 중앙대로 694부산진구 부전동 192-2140의류+신발+잡화 등<NA>YY2003051-660-70532023-09-13