Overview

Class Central Tips

This project gives you easy access to the invaluable learning techniques used by experts for visualization in statistics. We’ll learn about how to use wolfram language to draw curve in easiest way. We’ll also cover illustration and best practices shown by research to be most effective in helping you master plotting curves. Using these approaches, no matter what your skill levels in topics you would like to master, you can change your thinking and change your life. If you’re already an expert, this peep under the mental hood will give you ideas for turbocharging successful learning, including counter-intuitive test-taking tips and insights that will help you make the best use of your time on homework and problem sets. If you’re struggling, you’ll see a structured treasure trove of practical techniques that walk you through what you need to do to get on track. If you’ve ever wanted to become better at anything, this project will help serve as your guide. In this project we will take some illustrations and be able to Visualize the data by Scatter Plot using Wolfram Mathematica. By the end of this project learners will: Be able to plot basic examples (list of y values and x y pair)& several data items with legends (labeling each Plot and each data item) Be able to plot values including 'units' and using individual 'color' for each point Be able to plot the range where the data is non real are excluded & function ranges where it is selected automatically.

Syllabus

Project Overview

A scatter diagram, also called a scatterplot or a scatter plot, is a visualization of the relationship between two variables measured on the same set of individuals. Scatter diagrams for lists of data (x_1,y_1), (x_2,y_2), … can be generated with the Wolfram Language .A scatter diagram makes it particularly easy to spot trends and correlations between the two variables. For example, the scatter diagram can illustrate with given points, plots wine consumption (in liters of alcohol from wine per person per year) against deaths from heart disease (in deaths per 100,000 people) for 19 developed nations etc. There is clearly and some relationship between these two variables. Once such a relationship is found, linear regression can be used to find curves of best fit. The graph, if drawn above will show the same scatter diagram. Scatter plots’ primary uses are to observe and show relationships between two numeric variables. The dots in a scatter plot not only report the values of individual data points, but also patterns when the data are taken as a whole. Identification of correlational relationships are common with scatter plots. In these cases, we want to know, if we were given a particular horizontal value, what a good prediction would be for the vertical value. You will often see the variable on the horizontal axis denoted an independent variable, and the variable on the vertical axis the dependent variable. Relationships between variables can be described in many ways: positive or negative, strong or weak, linear or nonlinear. This project gives you easy access to the invaluable learning techniques used by experts for visualization in statistics. We’ll learn about how to use wolfram language to draw curve in easiest way. We’ll also cover illustration and best practices shown by research to be most effective in helping you master plotting curves. Using these approaches, no matter what your skill levels in topics you would like to master, you can change your thinking and change your life. If you’re already an expert, this peep under the mental hood will give you ideas for turbocharging successful learning, including counter-intuitive test-taking tips and insights that will help you make the best use of your time on homework and problem sets. If you’re struggling, you’ll see a structured treasure trove of practical techniques that walk you through what you need to do to get on track. If you’ve ever wanted to become better at anything, this project will help serve as your guide. In this project we will take some illustrations and be able to Visualize the data by Scatter Plot using Wolfram Mathematica. By the end of this project learners will -Be able to plot basic examples (list of y values and x y pair)& several data items with legends (labeling each Plot and each data item);Be able to plot values including 'units' and using individual 'color' for each point; Be able to plot the range where the data is non real are excluded & function ranges where it is selected automatically.