Overview

Dataset statistics

Number of variables6
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.1 KiB
Average record size in memory52.3 B

Variable types

Categorical3
Numeric3

Dataset

DescriptionSample
Author(주)넥스트이지
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=NXEGGRESTRTAL

Alerts

분석항목명 has constant value ""Constant

Reproduction

Analysis started2023-12-10 06:39:29.935311
Analysis finished2023-12-10 06:39:32.084560
Duration2.15 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

분석대상명
Categorical

Distinct9
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
24시 전주명가콩나물국밥
21 
24시 뼈다귀탕 제주점
15 
20년전통부대찌개
14 
1950하우스
13 
36.5도여름 남쪽점
12 
Other values (4)
25 

Length

Max length13
Median length11
Mean length9.67
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row064노트
2nd row064노트
3rd row064노트
4th row064노트
5th row064노트

Common Values

ValueCountFrequency (%)
24시 전주명가콩나물국밥 21
21.0%
24시 뼈다귀탕 제주점 15
15.0%
20년전통부대찌개 14
14.0%
1950하우스 13
13.0%
36.5도여름 남쪽점 12
12.0%
064노트 11
11.0%
1080칼국수 8
 
8.0%
1300K 제주 3
 
3.0%
2093하우스 제주 3
 
3.0%

Length

2023-12-10T15:39:32.242610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:39:32.495595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
24시 36
21.3%
전주명가콩나물국밥 21
12.4%
뼈다귀탕 15
8.9%
제주점 15
8.9%
20년전통부대찌개 14
 
8.3%
1950하우스 13
 
7.7%
36.5도여름 12
 
7.1%
남쪽점 12
 
7.1%
064노트 11
 
6.5%
1080칼국수 8
 
4.7%
Other values (3) 12
 
7.1%

분석항목명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
평점
100 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
평점 100
100.0%

Length

2023-12-10T15:39:32.721168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:39:32.865521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평점 100
100.0%

자료카테고리명
Real number (ℝ)

Distinct23
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.036
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:39:33.033872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.49
Q13.575
median4
Q34.925
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.35

Descriptive statistics

Standard deviation0.87184004
Coefficient of variation (CV)0.21601587
Kurtosis0.75114615
Mean4.036
Median Absolute Deviation (MAD)0.6
Skewness-0.90440074
Sum403.6
Variance0.76010505
MonotonicityNot monotonic
2023-12-10T15:39:33.263265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
5.0 25
25.0%
4.0 15
15.0%
3.0 11
11.0%
4.6 5
 
5.0%
4.7 4
 
4.0%
3.8 4
 
4.0%
3.7 4
 
4.0%
3.5 4
 
4.0%
4.5 3
 
3.0%
3.4 3
 
3.0%
Other values (13) 22
22.0%
ValueCountFrequency (%)
1.0 1
 
1.0%
1.7 1
 
1.0%
2.0 2
 
2.0%
2.3 1
 
1.0%
2.5 2
 
2.0%
3.0 11
11.0%
3.4 3
 
3.0%
3.5 4
 
4.0%
3.6 3
 
3.0%
3.7 4
 
4.0%
ValueCountFrequency (%)
5.0 25
25.0%
4.9 1
 
1.0%
4.8 1
 
1.0%
4.7 4
 
4.0%
4.6 5
 
5.0%
4.5 3
 
3.0%
4.4 3
 
3.0%
4.3 1
 
1.0%
4.2 1
 
1.0%
4.1 2
 
2.0%

총건수
Real number (ℝ)

Distinct25
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.22
Minimum1
Maximum166
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:39:33.494060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q37
95-th percentile50.35
Maximum166
Range165
Interquartile range (IQR)6

Descriptive statistics

Standard deviation26.3625
Coefficient of variation (CV)2.3495989
Kurtosis20.058161
Mean11.22
Median Absolute Deviation (MAD)2
Skewness4.2953371
Sum1122
Variance694.98141
MonotonicityNot monotonic
2023-12-10T15:39:33.692575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 27
27.0%
2 20
20.0%
4 9
 
9.0%
3 8
 
8.0%
5 6
 
6.0%
9 5
 
5.0%
7 4
 
4.0%
6 3
 
3.0%
15 2
 
2.0%
8 1
 
1.0%
Other values (15) 15
15.0%
ValueCountFrequency (%)
1 27
27.0%
2 20
20.0%
3 8
 
8.0%
4 9
 
9.0%
5 6
 
6.0%
6 3
 
3.0%
7 4
 
4.0%
8 1
 
1.0%
9 5
 
5.0%
11 1
 
1.0%
ValueCountFrequency (%)
166 1
1.0%
148 1
1.0%
110 1
1.0%
71 1
1.0%
57 1
1.0%
50 1
1.0%
49 1
1.0%
35 1
1.0%
33 1
1.0%
31 1
1.0%

기준일자
Real number (ℝ)

Distinct23
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20200793
Minimum20131020
Maximum20211016
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:39:33.886680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20131020
5-th percentile20171020
Q120201020
median20210220
Q320210620
95-th percentile20211006
Maximum20211016
Range79996
Interquartile range (IQR)9600

Descriptive statistics

Standard deviation15544.499
Coefficient of variation (CV)0.00076949948
Kurtosis4.3405206
Mean20200793
Median Absolute Deviation (MAD)747.5
Skewness-1.9992875
Sum2.0200793 × 109
Variance2.4163146 × 108
MonotonicityNot monotonic
2023-12-10T15:39:34.935544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
20201020 8
 
8.0%
20191020 8
 
8.0%
20181020 7
 
7.0%
20210620 7
 
7.0%
20201220 6
 
6.0%
20210320 6
 
6.0%
20210120 6
 
6.0%
20210820 6
 
6.0%
20171020 5
 
5.0%
20201120 5
 
5.0%
Other values (13) 36
36.0%
ValueCountFrequency (%)
20131020 1
 
1.0%
20151020 1
 
1.0%
20161020 2
 
2.0%
20171020 5
5.0%
20181020 7
7.0%
20191020 8
8.0%
20201020 8
8.0%
20201120 5
5.0%
20201220 6
6.0%
20210120 6
6.0%
ValueCountFrequency (%)
20211016 1
 
1.0%
20211015 2
 
2.0%
20211014 1
 
1.0%
20211006 3
3.0%
20210929 2
 
2.0%
20210920 4
4.0%
20210820 6
6.0%
20210720 5
5.0%
20210620 7
7.0%
20210520 5
5.0%

요일명
Categorical

Distinct7
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
22 
19 
18 
18 
11 
Other values (2)
12 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
22
22.0%
19
19.0%
18
18.0%
18
18.0%
11
11.0%
8
 
8.0%
4
 
4.0%

Length

2023-12-10T15:39:35.174349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:39:35.430134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
22
22.0%
19
19.0%
18
18.0%
18
18.0%
11
11.0%
8
 
8.0%
4
 
4.0%

Interactions

2023-12-10T15:39:31.257439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:39:30.261952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:39:30.786013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:39:31.435502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:39:30.450471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:39:30.936935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:39:31.595392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:39:30.611760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:39:31.068512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T15:39:35.600816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분석대상명자료카테고리명총건수기준일자요일명
분석대상명1.0000.5130.0000.0000.000
자료카테고리명0.5131.0000.0000.0000.000
총건수0.0000.0001.0000.4060.000
기준일자0.0000.0000.4061.0000.819
요일명0.0000.0000.0000.8191.000
2023-12-10T15:39:35.803923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분석대상명요일명
분석대상명1.0000.000
요일명0.0001.000
2023-12-10T15:39:35.964884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자료카테고리명총건수기준일자분석대상명요일명
자료카테고리명1.000-0.1280.2560.1690.000
총건수-0.1281.000-0.4220.0000.000
기준일자0.256-0.4221.0000.0000.409
분석대상명0.1690.0000.0001.0000.000
요일명0.0000.0000.4090.0001.000

Missing values

2023-12-10T15:39:31.803942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T15:39:32.008755image/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

분석대상명분석항목명자료카테고리명총건수기준일자요일명
0064노트평점4.6820201020
1064노트평점5.0420201120
2064노트평점4.0120201220
3064노트평점4.5220210120
4064노트평점5.0220210320
5064노트평점5.0420210420
6064노트평점4.0420210620
7064노트평점5.0120210720
8064노트평점4.5220210820
9064노트평점4.0220210920
분석대상명분석항목명자료카테고리명총건수기준일자요일명
9036.5도여름 남쪽점평점4.7320201220
9136.5도여름 남쪽점평점5.0220210120
9236.5도여름 남쪽점평점5.0220210220
9336.5도여름 남쪽점평점4.5220210320
9436.5도여름 남쪽점평점4.8420210420
9536.5도여름 남쪽점평점5.0420210520
9636.5도여름 남쪽점평점3.8420210620
9736.5도여름 남쪽점평점5.0120210720
9836.5도여름 남쪽점평점4.7620210820
9936.5도여름 남쪽점평점5.0220210920