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=NXEGGTRRSRTAL

Alerts

분석항목명 has constant value ""Constant

Reproduction

Analysis started2023-12-10 06:45:38.020169
Analysis finished2023-12-10 06:45:41.829996
Duration3.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

분석대상명
Categorical

Distinct10
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1100고지 제주
21 
M1971 요트투어
21 
9.81테마파크
20 
가파도
13 
5.16도로숲터널
Other values (5)
17 

Length

Max length13
Median length10
Mean length8.31
Min length3

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row1100고지 제주
2nd row1100고지 제주
3rd row1100고지 제주
4th row1100고지 제주
5th row1100고지 제주

Common Values

ValueCountFrequency (%)
1100고지 제주 21
21.0%
M1971 요트투어 21
21.0%
9.81테마파크 20
20.0%
가파도 13
13.0%
5.16도로숲터널 8
 
8.0%
516도로숲터널 8
 
8.0%
가파도 마라도 정기여객선 4
 
4.0%
1112도로 제주 2
 
2.0%
SM디지털아트뮤지움 2
 
2.0%
iucn기념숲 1
 
1.0%

Length

2023-12-10T15:45:41.928745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:45:42.089478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주 23
15.1%
1100고지 21
13.8%
m1971 21
13.8%
요트투어 21
13.8%
9.81테마파크 20
13.2%
가파도 17
11.2%
5.16도로숲터널 8
 
5.3%
516도로숲터널 8
 
5.3%
마라도 4
 
2.6%
정기여객선 4
 
2.6%
Other values (3) 5
 
3.3%

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

2023-12-10T15:45:42.289832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:45:42.420846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평점 100
100.0%

자료카테고리명
Real number (ℝ)

Distinct18
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.36
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:45:42.550990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.1
Q14.1
median4.4
Q34.8
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation0.59356822
Coefficient of variation (CV)0.1361395
Kurtosis4.0575978
Mean4.36
Median Absolute Deviation (MAD)0.4
Skewness-1.6409403
Sum436
Variance0.35232323
MonotonicityNot monotonic
2023-12-10T15:45:42.722933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
5.0 21
21.0%
4.3 15
15.0%
4.5 13
13.0%
4.0 10
10.0%
4.8 6
 
6.0%
4.4 6
 
6.0%
4.2 5
 
5.0%
4.1 4
 
4.0%
3.5 3
 
3.0%
4.6 3
 
3.0%
Other values (8) 14
14.0%
ValueCountFrequency (%)
2.0 2
 
2.0%
2.8 1
 
1.0%
3.0 1
 
1.0%
3.1 2
 
2.0%
3.5 3
 
3.0%
3.7 2
 
2.0%
3.8 1
 
1.0%
4.0 10
10.0%
4.1 4
 
4.0%
4.2 5
5.0%
ValueCountFrequency (%)
5.0 21
21.0%
4.9 2
 
2.0%
4.8 6
 
6.0%
4.7 3
 
3.0%
4.6 3
 
3.0%
4.5 13
13.0%
4.4 6
 
6.0%
4.3 15
15.0%
4.2 5
 
5.0%
4.1 4
 
4.0%

총건수
Real number (ℝ)

Distinct39
Distinct (%)39.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.45
Minimum1
Maximum266
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:45:42.911627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q326
95-th percentile126.9
Maximum266
Range265
Interquartile range (IQR)24

Descriptive statistics

Standard deviation48.375295
Coefficient of variation (CV)1.6426246
Kurtosis5.6282655
Mean29.45
Median Absolute Deviation (MAD)3
Skewness2.2298523
Sum2945
Variance2340.1692
MonotonicityNot monotonic
2023-12-10T15:45:43.161746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
1 18
18.0%
2 18
18.0%
3 10
 
10.0%
4 5
 
5.0%
21 4
 
4.0%
5 3
 
3.0%
89 3
 
3.0%
13 2
 
2.0%
7 2
 
2.0%
26 2
 
2.0%
Other values (29) 33
33.0%
ValueCountFrequency (%)
1 18
18.0%
2 18
18.0%
3 10
10.0%
4 5
 
5.0%
5 3
 
3.0%
6 2
 
2.0%
7 2
 
2.0%
8 1
 
1.0%
9 2
 
2.0%
11 1
 
1.0%
ValueCountFrequency (%)
266 1
1.0%
156 1
1.0%
153 1
1.0%
152 1
1.0%
144 1
1.0%
126 1
1.0%
125 1
1.0%
106 2
2.0%
105 1
1.0%
102 1
1.0%

기준일자
Real number (ℝ)

Distinct28
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20204131
Minimum20151020
Maximum20211020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:45:43.365345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20151020
5-th percentile20171020
Q120201120
median20210570
Q320210948
95-th percentile20211019
Maximum20211020
Range60000
Interquartile range (IQR)9828.25

Descriptive statistics

Standard deviation13463.873
Coefficient of variation (CV)0.00066639207
Kurtosis5.621438
Mean20204131
Median Absolute Deviation (MAD)444
Skewness-2.4288531
Sum2.0204131 × 109
Variance1.8127587 × 108
MonotonicityNot monotonic
2023-12-10T15:45:43.543097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
20201020 6
 
6.0%
20191020 6
 
6.0%
20210520 6
 
6.0%
20210720 6
 
6.0%
20210620 5
 
5.0%
20210929 4
 
4.0%
20201120 4
 
4.0%
20210120 4
 
4.0%
20211013 4
 
4.0%
20210820 4
 
4.0%
Other values (18) 51
51.0%
ValueCountFrequency (%)
20151020 2
 
2.0%
20161020 2
 
2.0%
20171020 2
 
2.0%
20181020 4
4.0%
20191020 6
6.0%
20201020 6
6.0%
20201120 4
4.0%
20201220 3
3.0%
20210120 4
4.0%
20210220 3
3.0%
ValueCountFrequency (%)
20211020 3
3.0%
20211019 3
3.0%
20211018 3
3.0%
20211017 3
3.0%
20211016 2
2.0%
20211015 2
2.0%
20211014 2
2.0%
20211013 4
4.0%
20211006 3
3.0%
20210929 4
4.0%

요일명
Categorical

Distinct7
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
21 
21 
17 
13 
12 
Other values (2)
16 

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 (%)
21
21.0%
21
21.0%
17
17.0%
13
13.0%
12
12.0%
10
10.0%
6
 
6.0%

Length

2023-12-10T15:45:43.736272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:45:43.907199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
21
21.0%
21
21.0%
17
17.0%
13
13.0%
12
12.0%
10
10.0%
6
 
6.0%

Interactions

2023-12-10T15:45:41.206713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:45:40.384283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:45:40.837733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:45:41.324881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:45:40.628108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:45:40.960907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:45:41.440779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:45:40.730434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:45:41.070662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T15:45:44.025502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분석대상명자료카테고리명총건수기준일자요일명
분석대상명1.0000.5600.4710.5470.000
자료카테고리명0.5601.0000.2270.5760.418
총건수0.4710.2271.0000.0000.084
기준일자0.5470.5760.0001.0000.598
요일명0.0000.4180.0840.5981.000
2023-12-10T15:45:44.164164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
요일명분석대상명
요일명1.0000.000
분석대상명0.0001.000
2023-12-10T15:45:44.283857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자료카테고리명총건수기준일자분석대상명요일명
자료카테고리명1.000-0.2450.0720.3070.215
총건수-0.2451.000-0.1410.2550.015
기준일자0.072-0.1411.0000.2880.377
분석대상명0.3070.2550.2881.0000.000
요일명0.2150.0150.3770.0001.000

Missing values

2023-12-10T15:45:41.609958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T15:45:41.763851image/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
01100고지 제주평점4.52620201220
11100고지 제주평점4.514420210120
21100고지 제주평점4.115320210220
31100고지 제주평점4.410620210320
41100고지 제주평점4.18920210420
51100고지 제주평점4.29520210520
61100고지 제주평점4.08920210620
71100고지 제주평점4.18020210720
81100고지 제주평점4.39520210820
91100고지 제주평점4.26820210920
분석대상명분석항목명자료카테고리명총건수기준일자요일명
90가파도평점5.0320210520
91가파도평점5.0220210620
92가파도평점4.8420210720
93가파도평점4.5220210820
94가파도평점5.0120210929
95가파도평점3.0220211013
96가파도 마라도 정기여객선평점3.85020181020
97가파도 마라도 정기여객선평점3.726620191020
98가파도 마라도 정기여객선평점4.115620201020
99가파도 마라도 정기여객선평점4.33320201120