Overview

Dataset statistics

Number of variables9
Number of observations23
Missing cells12
Missing cells (%)5.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory80.7 B

Variable types

Numeric3
Categorical2
Text4

Dataset

Description전라북도 고창군에 존재하는 착한가격업소 현황입니다. 읍면명, 주소, 전화번호, 품목, 가격에 대한 정보를 제공합니다.
URLhttps://www.data.go.kr/data/3074734/fileData.do

Alerts

가격 (원) is highly overall correlated with 가격2 (원) and 1 other fieldsHigh correlation
가격2 (원) is highly overall correlated with 가격 (원) and 1 other fieldsHigh correlation
착한가격품목2 is highly overall correlated with 가격 (원) and 1 other fieldsHigh correlation
가격2 (원) has 12 (52.2%) missing valuesMissing
연번 has unique valuesUnique
상호명 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:59:58.489584
Analysis finished2023-12-12 07:59:59.944071
Duration1.45 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T17:00:00.012089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q16.5
median12
Q317.5
95-th percentile21.9
Maximum23
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.56519417
Kurtosis-1.2
Mean12
Median Absolute Deviation (MAD)6
Skewness0
Sum276
Variance46
MonotonicityStrictly increasing
2023-12-12T17:00:00.135004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 1
 
4.3%
2 1
 
4.3%
23 1
 
4.3%
22 1
 
4.3%
21 1
 
4.3%
20 1
 
4.3%
19 1
 
4.3%
18 1
 
4.3%
17 1
 
4.3%
16 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1 1
4.3%
2 1
4.3%
3 1
4.3%
4 1
4.3%
5 1
4.3%
6 1
4.3%
7 1
4.3%
8 1
4.3%
9 1
4.3%
10 1
4.3%
ValueCountFrequency (%)
23 1
4.3%
22 1
4.3%
21 1
4.3%
20 1
4.3%
19 1
4.3%
18 1
4.3%
17 1
4.3%
16 1
4.3%
15 1
4.3%
14 1
4.3%

읍면명
Categorical

Distinct6
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Memory size316.0 B
고창읍
14 
무장면
4 
흥덕면
2 
아산면
 
1
해리면
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique3 ?
Unique (%)13.0%

Sample

1st row고창읍
2nd row고창읍
3rd row고창읍
4th row아산면
5th row해리면

Common Values

ValueCountFrequency (%)
고창읍 14
60.9%
무장면 4
 
17.4%
흥덕면 2
 
8.7%
아산면 1
 
4.3%
해리면 1
 
4.3%
공음면 1
 
4.3%

Length

2023-12-12T17:00:00.244303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:00:00.345064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고창읍 14
60.9%
무장면 4
 
17.4%
흥덕면 2
 
8.7%
아산면 1
 
4.3%
해리면 1
 
4.3%
공음면 1
 
4.3%

상호명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T17:00:00.555043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length5.0869565
Min length3

Characters and Unicode

Total characters117
Distinct characters75
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

Unique23 ?
Unique (%)100.0%

Sample

1st row최윤희머리방
2nd row머리마을미용실
3rd row박가네한우사랑
4th row제일식당
5th row미나라미용실
ValueCountFrequency (%)
최윤희머리방 1
 
4.0%
창평명가 1
 
4.0%
머리마실 1
 
4.0%
쎄리아미용실 1
 
4.0%
유정낙지마을 1
 
4.0%
미용실 1
 
4.0%
까꼬뽀꼬 1
 
4.0%
덕장진땡이 1
 
4.0%
명성회관 1
 
4.0%
천안문 1
 
4.0%
Other values (15) 15
60.0%
2023-12-12T17:00:00.953707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
미 8
 
6.8%
실 8
 
6.8%
용 7
 
6.0%
리 4
 
3.4%
식 3
 
2.6%
머 3
 
2.6%
마 3
 
2.6%
가 3
 
2.6%
텔 2
 
1.7%
당 2
 
1.7%
Other values (65) 74
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 115
98.3%
Space Separator 2
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
미 8
 
7.0%
실 8
 
7.0%
용 7
 
6.1%
리 4
 
3.5%
식 3
 
2.6%
머 3
 
2.6%
마 3
 
2.6%
가 3
 
2.6%
텔 2
 
1.7%
당 2
 
1.7%
Other values (64) 72
62.6%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 115
98.3%
Common 2
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
미 8
 
7.0%
실 8
 
7.0%
용 7
 
6.1%
리 4
 
3.5%
식 3
 
2.6%
머 3
 
2.6%
마 3
 
2.6%
가 3
 
2.6%
텔 2
 
1.7%
당 2
 
1.7%
Other values (64) 72
62.6%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 115
98.3%
ASCII 2
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
미 8
 
7.0%
실 8
 
7.0%
용 7
 
6.1%
리 4
 
3.5%
식 3
 
2.6%
머 3
 
2.6%
마 3
 
2.6%
가 3
 
2.6%
텔 2
 
1.7%
당 2
 
1.7%
Other values (64) 72
62.6%
ASCII
ValueCountFrequency (%)
2
100.0%

주소
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T17:00:01.173779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length20.478261
Min length17

Characters and Unicode

Total characters471
Distinct characters51
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

Unique23 ?
Unique (%)100.0%

Sample

1st row전라북도 고창군 고창읍 중앙로 208
2nd row전라북도 고창군 고창읍 중앙로 198
3rd row전라북도 고창군 고창읍 중앙로 200
4th row전라북도 고창군 아산면 녹두로 805
5th row전라북도 고창군 해리면 해리중앙로 92-1
ValueCountFrequency (%)
전라북도 23
20.2%
고창군 23
20.2%
고창읍 14
 
12.3%
중앙로 4
 
3.5%
무장면 3
 
2.6%
동리로 2
 
1.8%
무장남북로 2
 
1.8%
읍내리 2
 
1.8%
흥덕면 2
 
1.8%
45 1
 
0.9%
Other values (38) 38
33.3%
2023-12-12T17:00:01.527258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
91
19.3%
고 37
 
7.9%
창 37
 
7.9%
북 25
 
5.3%
전 23
 
4.9%
라 23
 
4.9%
도 23
 
4.9%
군 23
 
4.9%
읍 16
 
3.4%
로 13
 
2.8%
Other values (41) 160
34.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 307
65.2%
Space Separator 91
 
19.3%
Decimal Number 66
 
14.0%
Dash Punctuation 7
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
고 37
12.1%
창 37
12.1%
북 25
 
8.1%
전 23
 
7.5%
라 23
 
7.5%
도 23
 
7.5%
군 23
 
7.5%
읍 16
 
5.2%
로 13
 
4.2%
면 8
 
2.6%
Other values (29) 79
25.7%
Decimal Number
ValueCountFrequency (%)
1 12
18.2%
5 10
15.2%
4 8
12.1%
0 8
12.1%
8 7
10.6%
2 7
10.6%
6 4
 
6.1%
9 4
 
6.1%
3 3
 
4.5%
7 3
 
4.5%
Space Separator
ValueCountFrequency (%)
91
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 307
65.2%
Common 164
34.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
고 37
12.1%
창 37
12.1%
북 25
 
8.1%
전 23
 
7.5%
라 23
 
7.5%
도 23
 
7.5%
군 23
 
7.5%
읍 16
 
5.2%
로 13
 
4.2%
면 8
 
2.6%
Other values (29) 79
25.7%
Common
ValueCountFrequency (%)
91
55.5%
1 12
 
7.3%
5 10
 
6.1%
4 8
 
4.9%
0 8
 
4.9%
- 7
 
4.3%
8 7
 
4.3%
2 7
 
4.3%
6 4
 
2.4%
9 4
 
2.4%
Other values (2) 6
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 307
65.2%
ASCII 164
34.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
91
55.5%
1 12
 
7.3%
5 10
 
6.1%
4 8
 
4.9%
0 8
 
4.9%
- 7
 
4.3%
8 7
 
4.3%
2 7
 
4.3%
6 4
 
2.4%
9 4
 
2.4%
Other values (2) 6
 
3.7%
Hangul
ValueCountFrequency (%)
고 37
12.1%
창 37
12.1%
북 25
 
8.1%
전 23
 
7.5%
라 23
 
7.5%
도 23
 
7.5%
군 23
 
7.5%
읍 16
 
5.2%
로 13
 
4.2%
면 8
 
2.6%
Other values (29) 79
25.7%

전화번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T17:00:01.769926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters276
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

Unique23 ?
Unique (%)100.0%

Sample

1st row063-563-3088
2nd row063-562-0567
3rd row063-562-6678
4th row063-562-5425
5th row063-561-3353
ValueCountFrequency (%)
063-563-3088 1
 
4.3%
063-562-6766 1
 
4.3%
063-564-6885 1
 
4.3%
063-564-3624 1
 
4.3%
063-563-6368 1
 
4.3%
063-562-6300 1
 
4.3%
063-562-9488 1
 
4.3%
063-564-2885 1
 
4.3%
063-564-8999 1
 
4.3%
063-564-7770 1
 
4.3%
Other values (13) 13
56.5%
2023-12-12T17:00:02.139607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 57
20.7%
- 46
16.7%
3 41
14.9%
0 35
12.7%
5 35
12.7%
8 14
 
5.1%
4 14
 
5.1%
2 10
 
3.6%
7 9
 
3.3%
1 8
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 230
83.3%
Dash Punctuation 46
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 57
24.8%
3 41
17.8%
0 35
15.2%
5 35
15.2%
8 14
 
6.1%
4 14
 
6.1%
2 10
 
4.3%
7 9
 
3.9%
1 8
 
3.5%
9 7
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 57
20.7%
- 46
16.7%
3 41
14.9%
0 35
12.7%
5 35
12.7%
8 14
 
5.1%
4 14
 
5.1%
2 10
 
3.6%
7 9
 
3.3%
1 8
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 57
20.7%
- 46
16.7%
3 41
14.9%
0 35
12.7%
5 35
12.7%
8 14
 
5.1%
4 14
 
5.1%
2 10
 
3.6%
7 9
 
3.3%
1 8
 
2.9%

착한가격품목1
Text

Distinct12
Distinct (%)52.2%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T17:00:02.310520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length2
Mean length3.7826087
Min length2

Characters and Unicode

Total characters87
Distinct characters44
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)39.1%

Sample

1st row커트
2nd row커트
3rd row갈비탕
4th row백반
5th row커트
ValueCountFrequency (%)
커트 8
34.8%
백반 4
17.4%
삼겹살(200g 2
 
8.7%
갈비탕 1
 
4.3%
추어탕 1
 
4.3%
생선구이백반 1
 
4.3%
순대국밥 1
 
4.3%
숙박료(평일 1
 
4.3%
자장면 1
 
4.3%
코다리정식 1
 
4.3%
Other values (2) 2
 
8.7%
2023-12-12T17:00:02.633384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
커 9
 
10.3%
트 9
 
10.3%
반 6
 
6.9%
백 5
 
5.7%
) 5
 
5.7%
( 5
 
5.7%
0 4
 
4.6%
g 2
 
2.3%
탕 2
 
2.3%
2 2
 
2.3%
Other values (34) 38
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69
79.3%
Decimal Number 6
 
6.9%
Close Punctuation 5
 
5.7%
Open Punctuation 5
 
5.7%
Lowercase Letter 2
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
커 9
 
13.0%
트 9
 
13.0%
반 6
 
8.7%
백 5
 
7.2%
탕 2
 
2.9%
살 2
 
2.9%
삼 2
 
2.9%
일 2
 
2.9%
겹 2
 
2.9%
볶 1
 
1.4%
Other values (29) 29
42.0%
Decimal Number
ValueCountFrequency (%)
0 4
66.7%
2 2
33.3%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
g 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69
79.3%
Common 16
 
18.4%
Latin 2
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
커 9
 
13.0%
트 9
 
13.0%
반 6
 
8.7%
백 5
 
7.2%
탕 2
 
2.9%
살 2
 
2.9%
삼 2
 
2.9%
일 2
 
2.9%
겹 2
 
2.9%
볶 1
 
1.4%
Other values (29) 29
42.0%
Common
ValueCountFrequency (%)
) 5
31.2%
( 5
31.2%
0 4
25.0%
2 2
 
12.5%
Latin
ValueCountFrequency (%)
g 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69
79.3%
ASCII 18
 
20.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
커 9
 
13.0%
트 9
 
13.0%
반 6
 
8.7%
백 5
 
7.2%
탕 2
 
2.9%
살 2
 
2.9%
삼 2
 
2.9%
일 2
 
2.9%
겹 2
 
2.9%
볶 1
 
1.4%
Other values (29) 29
42.0%
ASCII
ValueCountFrequency (%)
) 5
27.8%
( 5
27.8%
0 4
22.2%
g 2
 
11.1%
2 2
 
11.1%

가격 (원)
Real number (ℝ)

HIGH CORRELATION 

Distinct7
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11434.783
Minimum6000
Maximum40000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T17:00:03.078479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6000
5-th percentile6000
Q17500
median8000
Q310000
95-th percentile37300
Maximum40000
Range34000
Interquartile range (IQR)2500

Descriptive statistics

Standard deviation9253.1375
Coefficient of variation (CV)0.80920974
Kurtosis7.433688
Mean11434.783
Median Absolute Deviation (MAD)2000
Skewness2.8638293
Sum263000
Variance85620553
MonotonicityNot monotonic
2023-12-12T17:00:03.187757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
8000 7
30.4%
10000 4
17.4%
13000 3
13.0%
6000 3
13.0%
7000 3
13.0%
40000 2
 
8.7%
9000 1
 
4.3%
ValueCountFrequency (%)
6000 3
13.0%
7000 3
13.0%
8000 7
30.4%
9000 1
 
4.3%
10000 4
17.4%
13000 3
13.0%
40000 2
 
8.7%
ValueCountFrequency (%)
40000 2
 
8.7%
13000 3
13.0%
10000 4
17.4%
9000 1
 
4.3%
8000 7
30.4%
7000 3
13.0%
6000 3
13.0%

착한가격품목2
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
12 
파마
9 
삼겹살(200g)
 
1
산낙지연포탕(중)
 
1

Length

Max length9
Median length4
Mean length3.6521739
Min length2

Unique

Unique2 ?
Unique (%)8.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 12
52.2%
파마 9
39.1%
삼겹살(200g) 1
 
4.3%
산낙지연포탕(중) 1
 
4.3%

Length

2023-12-12T17:00:03.311572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:00:03.413890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 12
52.2%
파마 9
39.1%
삼겹살(200g 1
 
4.3%
산낙지연포탕(중 1
 
4.3%

가격2 (원)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct7
Distinct (%)63.6%
Missing12
Missing (%)52.2%
Infinite0
Infinite (%)0.0%
Mean24363.636
Minimum12000
Maximum40000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T17:00:03.509607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12000
5-th percentile16000
Q120000
median23000
Q327500
95-th percentile37500
Maximum40000
Range28000
Interquartile range (IQR)7500

Descriptive statistics

Standard deviation7890.155
Coefficient of variation (CV)0.32384964
Kurtosis0.48852449
Mean24363.636
Median Absolute Deviation (MAD)3000
Skewness0.74108236
Sum268000
Variance62254545
MonotonicityNot monotonic
2023-12-12T17:00:03.608575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20000 4
 
17.4%
23000 2
 
8.7%
35000 1
 
4.3%
25000 1
 
4.3%
12000 1
 
4.3%
40000 1
 
4.3%
30000 1
 
4.3%
(Missing) 12
52.2%
ValueCountFrequency (%)
12000 1
 
4.3%
20000 4
17.4%
23000 2
8.7%
25000 1
 
4.3%
30000 1
 
4.3%
35000 1
 
4.3%
40000 1
 
4.3%
ValueCountFrequency (%)
40000 1
 
4.3%
35000 1
 
4.3%
30000 1
 
4.3%
25000 1
 
4.3%
23000 2
8.7%
20000 4
17.4%
12000 1
 
4.3%

Interactions

2023-12-12T16:59:59.438297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:59:58.877821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:59:59.154373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:59:59.518642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:59:58.968992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:59:59.249443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:59:59.610458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:59:59.067286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:59:59.343015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:00:03.700639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번읍면명상호명주소전화번호착한가격품목1가격 (원)착한가격품목2가격2 (원)
연번1.0000.5861.0001.0001.0000.5400.0000.5420.000
읍면명0.5861.0001.0001.0001.0000.0000.3060.5580.000
상호명1.0001.0001.0001.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
착한가격품목10.5400.0001.0001.0001.0001.0000.8221.0000.715
가격 (원)0.0000.3061.0001.0001.0000.8221.0000.5900.873
착한가격품목20.5420.5581.0001.0001.0001.0000.5901.0001.000
가격2 (원)0.0000.0001.0001.0001.0000.7150.8731.0001.000
2023-12-12T17:00:03.815560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
착한가격품목2읍면명
착한가격품목21.0000.393
읍면명0.3931.000
2023-12-12T17:00:03.906976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번가격 (원)가격2 (원)읍면명착한가격품목2
연번1.0000.0400.0470.2430.000
가격 (원)0.0401.0000.8050.1850.544
가격2 (원)0.0470.8051.0000.0000.707
읍면명0.2430.1850.0001.0000.393
착한가격품목20.0000.5440.7070.3931.000

Missing values

2023-12-12T16:59:59.742815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:59:59.887185image/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

연번읍면명상호명주소전화번호착한가격품목1가격 (원)착한가격품목2가격2 (원)
01고창읍최윤희머리방전라북도 고창군 고창읍 중앙로 208063-563-3088커트13000파마35000
12고창읍머리마을미용실전라북도 고창군 고창읍 중앙로 198063-562-0567커트10000파마25000
23고창읍박가네한우사랑전라북도 고창군 고창읍 중앙로 200063-562-6678갈비탕8000<NA><NA>
34아산면제일식당전라북도 고창군 아산면 녹두로 805063-562-5425백반6000<NA><NA>
45해리면미나라미용실전라북도 고창군 해리면 해리중앙로 92-1063-561-3353커트10000파마20000
56흥덕면남원추어탕전라북도 고창군 흥덕면 흥덕시장길 4063-561-5554추어탕8000<NA><NA>
67고창읍스타미용실전라북도 고창군 고창읍 중앙로 190063-561-2059커트8000파마20000
78고창읍두레반전라북도 고창군 고창읍 남정5길 5063-563-8700생선구이백반8000<NA><NA>
89고창읍토속집전라북도 고창군 고창읍 읍내리 654-1063-563-3133백반7000<NA><NA>
910무장면터식육점전라북도 고창군 무장남북로 14063-561-1311삼겹살(200g)13000<NA><NA>
연번읍면명상호명주소전화번호착한가격품목1가격 (원)착한가격품목2가격2 (원)
1314고창읍창평명가전라북도 고창군 고창읍 남정6길 30-1063-564-9878순대국밥6000<NA><NA>
1415무장면옥돌식당전라북도 고창군 무장면 무장리 114-2063-564-7770삼겹살(200g)13000<NA><NA>
1516고창읍넥스텔모텔전라북도 고창군 고창읍 월암수월길 112063-564-8999숙박료(평일)40000<NA><NA>
1617고창읍천안문전라북도 고창군 고창읍 남정10길 9063-564-2885자장면6000<NA><NA>
1718무장면명성회관전라북도 고창군 무장면 무장남북로 10-7063-562-9488백반7000<NA><NA>
1819고창읍덕장진땡이전라북도 고창군 고창읍 월곡로 45063-562-6300코다리정식10000<NA><NA>
1920고창읍까꼬뽀꼬 미용실전라북도 고창군 고창읍 동리로 45-2063-563-6368커트(일반)8000파마20000
2021고창읍유정낙지마을전라북도 고창군 고창읍 월곡리 725063-564-3624산낙지볶음(중)40000산낙지연포탕(중)40000
2122고창읍쎄리아미용실전라북도 고창군 고창읍 동리로 58063-564-6885커트8000파마20000
2223고창읍머리마실 가는날전라북도 고창군 고창읍 읍내리 863-58063-563-4530커트9000파마30000