Overview

Dataset statistics

Number of variables11
Number of observations10000
Missing cells13480
Missing cells (%)12.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1005.9 KiB
Average record size in memory103.0 B

Variable types

Numeric6
Text1
Categorical3
Boolean1

Dataset

Description경상남도내 위치한 식당의 품질정보를 적어놓은 데이터 입니다. 식당명, 어워드정보, RTI지수, 온라인화진행여부, 수용태세지수, 인기도 등 식당품질정보를 포함하고 있습니다.
Author재단법인경상남도관광재단
URLhttps://www.data.go.kr/data/15097616/fileData.do

Alerts

지역명 is highly overall correlated with 어워드정보설명 and 1 other fieldsHigh correlation
온라인화진행여부 is highly overall correlated with 수용태세지수 and 1 other fieldsHigh correlation
씨트립평점 is highly overall correlated with 식당(ID) and 5 other fieldsHigh correlation
식당(ID) is highly overall correlated with 씨트립평점High correlation
(RTI)지수 is highly overall correlated with 수용태세지수 and 3 other fieldsHigh correlation
수용태세지수 is highly overall correlated with (RTI)지수 and 3 other fieldsHigh correlation
인기도 is highly overall correlated with (RTI)지수 and 2 other fieldsHigh correlation
네이버평점 is highly overall correlated with (RTI)지수High correlation
어워드정보설명 is highly overall correlated with 지역명High correlation
어워드정보설명 is highly imbalanced (95.9%)Imbalance
씨트립평점 is highly imbalanced (99.5%)Imbalance
트립어드바이저평점 has 9846 (98.5%) missing valuesMissing
네이버평점 has 3634 (36.3%) missing valuesMissing
식당(ID) has unique valuesUnique
(RTI)지수 has 3631 (36.3%) zerosZeros
인기도 has 5105 (51.0%) zerosZeros

Reproduction

Analysis started2024-04-17 18:38:42.113202
Analysis finished2024-04-17 18:38:46.403220
Duration4.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

식당(ID)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean498172
Minimum1159
Maximum971723
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T03:38:46.463863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1159
5-th percentile43531.75
Q1241741.5
median497126.5
Q3761935
95-th percentile937116.5
Maximum971723
Range970564
Interquartile range (IQR)520193.5

Descriptive statistics

Standard deviation293560.26
Coefficient of variation (CV)0.58927492
Kurtosis-1.2557099
Mean498172
Median Absolute Deviation (MAD)261367
Skewness-0.027186907
Sum4.98172 × 109
Variance8.6177629 × 1010
MonotonicityNot monotonic
2024-04-18T03:38:46.576007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
221857 1
 
< 0.1%
663495 1
 
< 0.1%
943001 1
 
< 0.1%
451662 1
 
< 0.1%
555134 1
 
< 0.1%
37845 1
 
< 0.1%
694369 1
 
< 0.1%
912684 1
 
< 0.1%
882225 1
 
< 0.1%
181901 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1159 1
< 0.1%
1166 1
< 0.1%
1200 1
< 0.1%
1202 1
< 0.1%
1421 1
< 0.1%
1552 1
< 0.1%
1554 1
< 0.1%
1559 1
< 0.1%
1710 1
< 0.1%
2141 1
< 0.1%
ValueCountFrequency (%)
971723 1
< 0.1%
971602 1
< 0.1%
971545 1
< 0.1%
971523 1
< 0.1%
971495 1
< 0.1%
971254 1
< 0.1%
971143 1
< 0.1%
971075 1
< 0.1%
971068 1
< 0.1%
971017 1
< 0.1%

식당명
Text

Distinct9571
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T03:38:46.803310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23
Mean length7.0924
Min length1

Characters and Unicode

Total characters70924
Distinct characters1042
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9240 ?
Unique (%)92.4%

Sample

1st row길수반점
2nd row명서밀면
3rd row영드림스터디카페
4th row진미맛골
5th row봉이치킨(진해점)
ValueCountFrequency (%)
카페 36
 
0.3%
식당 13
 
0.1%
고봉민 12
 
0.1%
포차 11
 
0.1%
아지트 9
 
0.1%
치킨 8
 
0.1%
마산점 8
 
0.1%
베이커리 7
 
0.1%
옛날통닭 7
 
0.1%
더 7
 
0.1%
Other values (10078) 10788
98.9%
2024-04-18T03:38:47.151744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 3330
 
4.7%
( 3113
 
4.4%
) 3112
 
4.4%
이 1233
 
1.7%
식 1140
 
1.6%
스 978
 
1.4%
리 956
 
1.3%
915
 
1.3%
치 795
 
1.1%
마 793
 
1.1%
Other values (1032) 54559
76.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 61729
87.0%
Open Punctuation 3113
 
4.4%
Close Punctuation 3112
 
4.4%
Space Separator 915
 
1.3%
Decimal Number 880
 
1.2%
Uppercase Letter 666
 
0.9%
Lowercase Letter 324
 
0.5%
Other Punctuation 173
 
0.2%
Dash Punctuation 10
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 3330
 
5.4%
이 1233
 
2.0%
식 1140
 
1.8%
스 978
 
1.6%
리 956
 
1.5%
치 795
 
1.3%
마 793
 
1.3%
당 769
 
1.2%
산 754
 
1.2%
원 668
 
1.1%
Other values (956) 50313
81.5%
Uppercase Letter
ValueCountFrequency (%)
C 152
22.8%
P 82
12.3%
S 51
 
7.7%
G 46
 
6.9%
O 36
 
5.4%
B 33
 
5.0%
A 31
 
4.7%
T 30
 
4.5%
E 23
 
3.5%
D 23
 
3.5%
Other values (15) 159
23.9%
Lowercase Letter
ValueCountFrequency (%)
e 40
12.3%
o 38
11.7%
a 38
11.7%
r 22
 
6.8%
c 21
 
6.5%
n 17
 
5.2%
l 17
 
5.2%
i 15
 
4.6%
t 15
 
4.6%
u 13
 
4.0%
Other values (13) 88
27.2%
Other Punctuation
ValueCountFrequency (%)
& 118
68.2%
, 13
 
7.5%
. 12
 
6.9%
？ 7
 
4.0%
! 7
 
4.0%
· 4
 
2.3%
/ 4
 
2.3%
' 2
 
1.2%
? 2
 
1.2%
# 2
 
1.2%
Other values (2) 2
 
1.2%
Decimal Number
ValueCountFrequency (%)
2 180
20.5%
1 167
19.0%
0 127
14.4%
5 120
13.6%
9 57
 
6.5%
3 54
 
6.1%
4 49
 
5.6%
7 44
 
5.0%
8 43
 
4.9%
6 39
 
4.4%
Math Symbol
ValueCountFrequency (%)
~ 1
50.0%
+ 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 3113
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3112
100.0%
Space Separator
ValueCountFrequency (%)
915
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 61722
87.0%
Common 8205
 
11.6%
Latin 990
 
1.4%
Han 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 3330
 
5.4%
이 1233
 
2.0%
식 1140
 
1.8%
스 978
 
1.6%
리 956
 
1.5%
치 795
 
1.3%
마 793
 
1.3%
당 769
 
1.2%
산 754
 
1.2%
원 668
 
1.1%
Other values (949) 50306
81.5%
Latin
ValueCountFrequency (%)
C 152
 
15.4%
P 82
 
8.3%
S 51
 
5.2%
G 46
 
4.6%
e 40
 
4.0%
o 38
 
3.8%
a 38
 
3.8%
O 36
 
3.6%
B 33
 
3.3%
A 31
 
3.1%
Other values (38) 443
44.7%
Common
ValueCountFrequency (%)
( 3113
37.9%
) 3112
37.9%
915
 
11.2%
2 180
 
2.2%
1 167
 
2.0%
0 127
 
1.5%
5 120
 
1.5%
& 118
 
1.4%
9 57
 
0.7%
3 54
 
0.7%
Other values (18) 242
 
2.9%
Han
ValueCountFrequency (%)
都 1
14.3%
丹 1
14.3%
家 1
14.3%
李 1
14.3%
火 1
14.3%
辛 1
14.3%
休 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 61716
87.0%
ASCII 9184
 
12.9%
None 11
 
< 0.1%
Compat Jamo 6
 
< 0.1%
CJK 6
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 3330
 
5.4%
이 1233
 
2.0%
식 1140
 
1.8%
스 978
 
1.6%
리 956
 
1.5%
치 795
 
1.3%
마 793
 
1.3%
당 769
 
1.2%
산 754
 
1.2%
원 668
 
1.1%
Other values (947) 50300
81.5%
ASCII
ValueCountFrequency (%)
( 3113
33.9%
) 3112
33.9%
915
 
10.0%
2 180
 
2.0%
1 167
 
1.8%
C 152
 
1.7%
0 127
 
1.4%
5 120
 
1.3%
& 118
 
1.3%
P 82
 
0.9%
Other values (64) 1098
 
12.0%
None
ValueCountFrequency (%)
？ 7
63.6%
· 4
36.4%
Compat Jamo
ValueCountFrequency (%)
ㄲ 3
50.0%
ㅋ 3
50.0%
CJK
ValueCountFrequency (%)
都 1
16.7%
丹 1
16.7%
家 1
16.7%
火 1
16.7%
辛 1
16.7%
休 1
16.7%
CJK Compat Ideographs
ValueCountFrequency (%)
李 1
100.0%

지역명
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경상남도 창원시
3164 
경상남도 김해시
1493 
경상남도 진주시
1176 
경상남도 양산시
971 
경상남도 거제시
754 
Other values (13)
2442 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상남도 김해시
2nd row경상남도 창원시
3rd row경상남도 창원시
4th row경상남도 진주시
5th row경상남도 창원시

Common Values

ValueCountFrequency (%)
경상남도 창원시 3164
31.6%
경상남도 김해시 1493
14.9%
경상남도 진주시 1176
 
11.8%
경상남도 양산시 971
 
9.7%
경상남도 거제시 754
 
7.5%
경상남도 통영시 432
 
4.3%
경상남도 밀양시 364
 
3.6%
경상남도 사천시 312
 
3.1%
경상남도 함안군 228
 
2.3%
경상남도 창녕군 200
 
2.0%
Other values (8) 906
 
9.1%

Length

2024-04-18T03:38:47.251905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경상남도 10000
50.0%
창원시 3164
 
15.8%
김해시 1493
 
7.5%
진주시 1176
 
5.9%
양산시 971
 
4.9%
거제시 754
 
3.8%
통영시 432
 
2.2%
밀양시 364
 
1.8%
사천시 312
 
1.6%
함안군 228
 
1.1%
Other values (9) 1106
 
5.5%

어워드정보설명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9909 
안심식당(농림축산식품부)
 
74
모범음식점(행정안전부),안심식당(농림축산식품부)
 
10
모범음식점(행정안전부)
 
7

Length

Max length26
Median length4
Mean length4.0942
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row안심식당(농림축산식품부)
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9909
99.1%
안심식당(농림축산식품부) 74
 
0.7%
모범음식점(행정안전부),안심식당(농림축산식품부) 10
 
0.1%
모범음식점(행정안전부) 7
 
0.1%

Length

2024-04-18T03:38:47.337839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:38:47.416232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9909
99.1%
안심식당(농림축산식품부 74
 
0.7%
모범음식점(행정안전부),안심식당(농림축산식품부 10
 
0.1%
모범음식점(행정안전부 7
 
0.1%

(RTI)지수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.185909
Minimum0
Maximum0.56
Zeros3631
Zeros (%)36.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T03:38:47.490892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.28
Q30.3
95-th percentile0.32
Maximum0.56
Range0.56
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.14166185
Coefficient of variation (CV)0.76199567
Kurtosis-1.6709254
Mean0.185909
Median Absolute Deviation (MAD)0.03
Skewness-0.51960261
Sum1859.09
Variance0.020068081
MonotonicityNot monotonic
2024-04-18T03:38:47.573542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.0 3631
36.3%
0.29 1581
15.8%
0.3 1573
15.7%
0.28 825
 
8.2%
0.31 699
 
7.0%
0.27 491
 
4.9%
0.33 417
 
4.2%
0.32 308
 
3.1%
0.26 151
 
1.5%
0.25 104
 
1.0%
Other values (13) 220
 
2.2%
ValueCountFrequency (%)
0.0 3631
36.3%
0.03 2
 
< 0.1%
0.07 4
 
< 0.1%
0.1 3
 
< 0.1%
0.15 1
 
< 0.1%
0.17 9
 
0.1%
0.18 5
 
0.1%
0.19 8
 
0.1%
0.2 46
 
0.5%
0.21 10
 
0.1%
ValueCountFrequency (%)
0.56 1
 
< 0.1%
0.33 417
 
4.2%
0.32 308
 
3.1%
0.31 699
7.0%
0.3 1573
15.7%
0.29 1581
15.8%
0.28 825
8.2%
0.27 491
 
4.9%
0.26 151
 
1.5%
0.25 104
 
1.0%

온라인화진행여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
8878 
True
1122 
ValueCountFrequency (%)
False 8878
88.8%
True 1122
 
11.2%
2024-04-18T03:38:47.651385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

수용태세지수
Real number (ℝ)

HIGH CORRELATION 

Distinct32
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.202673
Minimum0.12
Maximum0.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T03:38:47.721260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.12
5-th percentile0.15
Q10.17
median0.2
Q30.22
95-th percentile0.27
Maximum0.45
Range0.33
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.038874107
Coefficient of variation (CV)0.19180703
Kurtosis4.8855287
Mean0.202673
Median Absolute Deviation (MAD)0.02
Skewness1.2370244
Sum2026.73
Variance0.0015111962
MonotonicityNot monotonic
2024-04-18T03:38:47.828090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0.2 3230
32.3%
0.17 2107
21.1%
0.22 1264
 
12.6%
0.19 824
 
8.2%
0.25 485
 
4.9%
0.12 442
 
4.4%
0.23 373
 
3.7%
0.24 280
 
2.8%
0.27 224
 
2.2%
0.21 201
 
2.0%
Other values (22) 570
 
5.7%
ValueCountFrequency (%)
0.12 442
 
4.4%
0.14 19
 
0.2%
0.15 73
 
0.7%
0.16 5
 
0.1%
0.17 2107
21.1%
0.18 25
 
0.2%
0.19 824
 
8.2%
0.2 3230
32.3%
0.21 201
 
2.0%
0.22 1264
 
12.6%
ValueCountFrequency (%)
0.45 1
 
< 0.1%
0.44 2
 
< 0.1%
0.42 2
 
< 0.1%
0.41 12
 
0.1%
0.4 1
 
< 0.1%
0.39 8
 
0.1%
0.38 26
 
0.3%
0.37 7
 
0.1%
0.36 29
 
0.3%
0.35 80
0.8%

인기도
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct32
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.051175
Minimum0
Maximum0.34
Zeros5105
Zeros (%)51.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T03:38:47.934503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.06
95-th percentile0.33
Maximum0.34
Range0.34
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.094178641
Coefficient of variation (CV)1.8403252
Kurtosis3.1190351
Mean0.051175
Median Absolute Deviation (MAD)0
Skewness2.0843547
Sum511.75
Variance0.0088696163
MonotonicityNot monotonic
2024-04-18T03:38:48.043401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0.0 5105
51.0%
0.01 989
 
9.9%
0.33 652
 
6.5%
0.02 641
 
6.4%
0.03 427
 
4.3%
0.04 326
 
3.3%
0.06 267
 
2.7%
0.07 192
 
1.9%
0.08 170
 
1.7%
0.09 148
 
1.5%
Other values (22) 1083
 
10.8%
ValueCountFrequency (%)
0.0 5105
51.0%
0.01 989
 
9.9%
0.02 641
 
6.4%
0.03 427
 
4.3%
0.04 326
 
3.3%
0.06 267
 
2.7%
0.07 192
 
1.9%
0.08 170
 
1.7%
0.09 148
 
1.5%
0.1 119
 
1.2%
ValueCountFrequency (%)
0.34 1
 
< 0.1%
0.33 652
6.5%
0.32 19
 
0.2%
0.31 30
 
0.3%
0.3 21
 
0.2%
0.29 21
 
0.2%
0.28 31
 
0.3%
0.27 21
 
0.2%
0.26 45
 
0.4%
0.24 32
 
0.3%

트립어드바이저평점
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)4.5%
Missing9846
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean4.1233766
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T03:38:48.153019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median4
Q34.5
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.66497749
Coefficient of variation (CV)0.16127013
Kurtosis-0.033903314
Mean4.1233766
Median Absolute Deviation (MAD)0.5
Skewness-0.54792209
Sum635
Variance0.44219506
MonotonicityNot monotonic
2024-04-18T03:38:48.258575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4.0 64
 
0.6%
5.0 33
 
0.3%
4.5 28
 
0.3%
3.0 20
 
0.2%
3.5 6
 
0.1%
2.5 2
 
< 0.1%
2.0 1
 
< 0.1%
(Missing) 9846
98.5%
ValueCountFrequency (%)
2.0 1
 
< 0.1%
2.5 2
 
< 0.1%
3.0 20
 
0.2%
3.5 6
 
0.1%
4.0 64
0.6%
4.5 28
0.3%
5.0 33
0.3%
ValueCountFrequency (%)
5.0 33
0.3%
4.5 28
0.3%
4.0 64
0.6%
3.5 6
 
0.1%
3.0 20
 
0.2%
2.5 2
 
< 0.1%
2.0 1
 
< 0.1%

씨트립평점
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9996 
4
 
4

Length

Max length4
Median length4
Mean length3.9988
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9996
> 99.9%
4 4
 
< 0.1%

Length

2024-04-18T03:38:48.406321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:38:48.487626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9996
> 99.9%
4 4
 
< 0.1%

네이버평점
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct171
Distinct (%)2.7%
Missing3634
Missing (%)36.3%
Infinite0
Infinite (%)0.0%
Mean4.3786365
Minimum0.5
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T03:38:48.570541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile3.81
Q14.25
median4.41
Q34.5575
95-th percentile5
Maximum5
Range4.5
Interquartile range (IQR)0.3075

Descriptive statistics

Standard deviation0.35690548
Coefficient of variation (CV)0.081510643
Kurtosis14.073749
Mean4.3786365
Median Absolute Deviation (MAD)0.15
Skewness-2.1657624
Sum27874.4
Variance0.12738152
MonotonicityNot monotonic
2024-04-18T03:38:48.674029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.5 346
 
3.5%
5.0 337
 
3.4%
4.0 251
 
2.5%
4.33 154
 
1.5%
4.38 153
 
1.5%
4.39 135
 
1.4%
4.3 126
 
1.3%
4.43 124
 
1.2%
4.45 123
 
1.2%
4.44 122
 
1.2%
Other values (161) 4495
45.0%
(Missing) 3634
36.3%
ValueCountFrequency (%)
0.5 2
 
< 0.1%
1.0 4
< 0.1%
1.5 3
 
< 0.1%
2.25 1
 
< 0.1%
2.5 9
0.1%
2.75 5
0.1%
2.83 2
 
< 0.1%
2.88 2
 
< 0.1%
2.9 1
 
< 0.1%
2.92 3
 
< 0.1%
ValueCountFrequency (%)
5.0 337
3.4%
4.97 3
 
< 0.1%
4.96 3
 
< 0.1%
4.95 4
 
< 0.1%
4.94 6
 
0.1%
4.93 3
 
< 0.1%
4.92 11
 
0.1%
4.91 5
 
0.1%
4.9 11
 
0.1%
4.89 7
 
0.1%

Interactions

2024-04-18T03:38:45.637767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:38:43.293499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:38:43.721346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:38:44.137403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:38:44.575145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:38:45.222868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:38:45.708903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:38:43.369524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:38:43.791493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:38:44.213932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:38:44.646302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:38:45.287309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:38:45.775726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:38:43.443025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:38:43.859457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:38:44.285643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:38:44.921797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:38:45.357438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:38:45.849928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:38:43.514881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:38:43.932113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:38:44.357339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:38:45.006757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:38:45.424759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:38:45.929042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:38:43.589230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:38:44.005388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:38:44.433953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:38:45.084670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:38:45.504597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:38:45.995479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:38:43.654535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:38:44.074054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:38:44.506293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:38:45.153246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:38:45.569425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-18T03:38:48.745875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
식당(ID)지역명어워드정보설명(RTI)지수온라인화진행여부수용태세지수인기도트립어드바이저평점네이버평점
식당(ID)1.0000.1600.3930.0750.1580.1980.0600.0000.181
지역명0.1601.0000.7140.1270.0750.1550.1280.0000.140
어워드정보설명0.3930.7141.0000.2790.2280.5490.328NaN0.143
(RTI)지수0.0750.1270.2791.0000.2150.5500.3700.2410.956
온라인화진행여부0.1580.0750.2280.2151.0000.7430.3130.0720.155
수용태세지수0.1980.1550.5490.5500.7431.0000.4890.1840.196
인기도0.0600.1280.3280.3700.3130.4891.0000.0000.241
트립어드바이저평점0.0000.000NaN0.2410.0720.1840.0001.0000.231
네이버평점0.1810.1400.1430.9560.1550.1960.2410.2311.000
2024-04-18T03:38:49.072716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역명어워드정보설명온라인화진행여부씨트립평점
지역명1.0000.5120.0591.000
어워드정보설명0.5121.0000.370NaN
온라인화진행여부0.0590.3701.0001.000
씨트립평점1.000NaN1.0001.000
2024-04-18T03:38:49.169298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
식당(ID)(RTI)지수수용태세지수인기도트립어드바이저평점네이버평점지역명어워드정보설명온라인화진행여부씨트립평점
식당(ID)1.0000.039-0.0410.023-0.0660.1650.0620.2450.1211.000
(RTI)지수0.0391.0000.6720.553-0.0230.9830.0610.0000.2241.000
수용태세지수-0.0410.6721.0000.6410.0720.0590.0600.4270.5831.000
인기도0.0230.5530.6411.0000.0840.0630.0490.1970.2411.000
트립어드바이저평점-0.066-0.0230.0720.0841.000-0.0110.000NaN0.074NaN
네이버평점0.1650.9830.0590.063-0.0111.0000.0560.0000.121NaN
지역명0.0620.0610.0600.0490.0000.0561.0000.5120.0591.000
어워드정보설명0.2450.0000.4270.197NaN0.0000.5121.0000.3700.000
온라인화진행여부0.1210.2240.5830.2410.0740.1210.0590.3701.0001.000
씨트립평점1.0001.0001.0001.000NaNNaN1.0000.0001.0001.000

Missing values

2024-04-18T03:38:46.098651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-18T03:38:46.235991image/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.
2024-04-18T03:38:46.352872image/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

식당(ID)식당명지역명어워드정보설명(RTI)지수온라인화진행여부수용태세지수인기도트립어드바이저평점씨트립평점네이버평점
9724221857길수반점경상남도 김해시<NA>0.24N0.210.01<NA><NA>3.67
361572540명서밀면경상남도 창원시안심식당(농림축산식품부)0.29N0.20.33<NA><NA>4.38
33197800078영드림스터디카페경상남도 창원시<NA>0.0N0.120.0<NA><NA><NA>
14804355614진미맛골경상남도 진주시<NA>0.28N0.220.0<NA><NA>4.17
24726579648봉이치킨(진해점)경상남도 창원시<NA>0.28N0.20.01<NA><NA>4.25
13992328909새벽왕김밥도시락경상남도 김해시<NA>0.29N0.20.02<NA><NA>4.36
33504808563다올경상남도 창원시<NA>0.26N0.20.0<NA><NA>3.9
19149451400치킨더홈(거제사곡점)경상남도 거제시<NA>0.29N0.20.0<NA><NA>4.39
18827450859노가리앤비어(김해삼방점)경상남도 김해시<NA>0.32N0.220.0<NA><NA>4.75
36248872025컴포즈커피(성원중앙상가점)경상남도 창원시<NA>0.3N0.20.01<NA><NA>4.45
식당(ID)식당명지역명어워드정보설명(RTI)지수온라인화진행여부수용태세지수인기도트립어드바이저평점씨트립평점네이버평점
12620285563장모님치킨(완월점)경상남도 창원시<NA>0.27N0.20.01<NA><NA>4.0
14318329502네네치킨(고성점)경상남도 고성군<NA>0.29Y0.220.03<NA><NA>4.37
6049138771장충동왕족발(사천점)경상남도 사천시<NA>0.28N0.20.0<NA><NA>4.15
23535545410닥치고비어경상남도 사천시<NA>0.3N0.20.0<NA><NA>4.5
26186614438장모님양념통닭(거창점)경상남도 거창군<NA>0.31N0.20.0<NA><NA>4.63
18034417946원조춘천닭갈비경상남도 남해군<NA>0.29N0.20.01<NA><NA>4.31
30066715256금풍구내식당경상남도 밀양시<NA>0.0N0.170.0<NA><NA><NA>
28837683318달인 307 촨차이경상남도 김해시<NA>0.0N0.170.0<NA><NA><NA>
32906791875놈놈숯불닭갈비(함안점)경상남도 함안군<NA>0.28N0.280.33<NA><NA>4.23
21309496906롯데리아(창원동읍점)경상남도 창원시<NA>0.29Y0.280.02<NA><NA>4.28