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Prediction of Diabetics in the Early Stages Using Machine-Learning Tools and Microsoft Azure AI Services
Published in Sarvesh Tanwar, Sumit Badotra, Ajay Rana, Machine Learning, Blockchain, and Cyber Security in Smart Environments, 2023
Chandrashekhar Kumbhar, Abid Hussain
A scatter plot shows the relationship between two variables, or how two variables are correlated with each other (Kumari and Chitra, 2013). A three-dimensional scatter plot is like a scatter plot, but with three variables. In our 3D scatter plot, the x axis represents symptoms, y axis issues and z axis gender.
Cryptocurrency Revolution
Published in Bharat Bhushan, Nitin Rakesh, Yousef Farhaoui, Parma Nand Astya, Bhuvan Unhelkar, Blockchain Technology in Healthcare Applications, 2022
Vishakha, Nikhil Sharma, Ila Kaushik, Bharat Bhushan, Chaitanya Kumar Dixit
Figure 4.11 shows the scatter plot of bitcoin which shows the dependency of the volume of bitcoin on weighted price. A scatter plot indicates up to which extent one variable is going to be affected by the other variable.
Basic Quality Tools with Tableau
Published in Jaejin Hwang, Youngjin Yoon, Data Analytics and Visualization in Quality Analysis using Tableau, 2021
The scatter plot helps to understand the relationship between two variables. Each symbol (e.g., dot) in the graph represents a data pair. For example, we are interested in finding the relationship between the average daily temperate (°C) and the number of beach visitors. It is essential to determine if the number of beach visitors (dependent variable) depends on the average daily temperature (independent variable). Table 2.7 shows the sample data of these variables over 12 days.
Multivariate analysis of microscopic traffic variables using copulas in staggered car-following conditions
Published in Transportmetrica A: Transport Science, 2018
Sanhita Das, Akhilesh Kumar Maurya
The rank scatter plot is a graphical representation of dependence for a pair of ranks associated with the sample . The pattern of the scatter plot describes the relationship between the associated variables. As can be observed, a majority of points of Figure 4(a) are close to the diagonal, which indicates a high dependence and the pattern of the scatter plot confirms the negative association between the variables, whereas the scatter plots of Figures 5(a) and 6(a) depict negative and positive associations, respectively, with comparatively weaker dependence structure observed in case of Figure 6(a).
Information visualisation for efficient knowledge discovery and informed decision in design by shopping
Published in Journal of Engineering Design, 2019
Audrey Abi Akle, Bernard Yannou, Stéphanie Minel
A scatterplot is a conventional method to visualise the relationship between two variables. As a visual structure, the scatterplot uses position to encode the values of two variables and their relationships. This is a projection of the data (represented by the design points) in a 2D space. Siirtola (2007) considers that the scatterplot is useful for easily detecting non-linear patterns and positive or negative correlations between variables. Scatterplots are Cartesian representations, and so have a long history with, for example, the learning of linear algebra at school. This early training results in a strong development of intuitions about the appearance of this type of representation (Wegman 1990).
Determining which of the classic seven quality tools are in the quality practitioner’s RCA tool kit
Published in Cogent Engineering, 2023
A scatter plot can also be known as a scatter diagram, and it is used to show potential relationships between paired values. The values are plotted graphically and observed to see if a potential relationship exists. A relationship does not exist when it looks like the values are scattered randomly (Villarreal & Kleiner, 1997). Although useful for identifying potential relationships, a scatter plot only provides an indication that there is a possible relationship and no confirmation of the relationship (Blank, 2014). In a scatter plot, the x-axis lists process outputs and the y-axis lists process inputs (Snee, 2008).