Select, develop, and apply analysis and visualization approaches to understand, interpret, and communicate data • Learn new approaches through guided and self-directed exploration and research The goal of this practice set is to compare and contrast visualization approaches of data that conveys specific meaning and to continue growth in analysis and statistics. We will be working with a heart.csv dataset. The data in this dataset represents information about patients according to key indications described in Cellammal and Sharmilla . • You can get the dataset and descriptive paper from Resources>Homework Materials>Part I • You can see the categories/distribution of datatypes at https://www.kaggle.com/johnsmith88/heartdisease-dataset. Using the heart.csv dataset please generate TWO specific questions/hypotheses, their analysis, and results you wish to use this data to test. These hypotheses can be any of your choosing, but ideally allow you to practice multiple approaches to visualization and analysis. a) Introduction: Describe in words what you wanted to ask and answer with the visualization and statistical approach and how you chose to state that exploration as a specific hypothesis to be tested. Please also address why you selected the particular visualization and statistical approach (specifically, motivated by what you learned about visualization or the practice you hoped to gain). b) Methods: Describe any statistical or mathematical approaches you used or any data processing you might have applied. c) Results: Provide the results of your study and two different visualizations of this data, where the second visualization offers an improvement on the level of detail and/or interpretability of the underlying approach. Examples: 1) A bar graph vs. a box plot, 2) A scatter plot with and without highlighting of specific subcategories, 3) different groupings of data by age or heart rate. d) Discussion: Compare and contrast your visualization approaches and discuss how they affect what someone would conclude from the visualization. instructions -using R show this vizualisation - you address two different questions with the data • -you include the two different visualization methods with the data where those methods are well suited to visualizing the information according to what you have read in the visualization readings • -you make quantitative statements about the results, backed by appropriate statistical tests (qualitative statements that should be quantitative will not be accepted) • you provide the details requested above for each of the two questions (Intro, Methods, Results, Discussion) • you follow the general specifications (note especially the importance of figure legends and readability
Select, develop, and apply analysis and visualization approaches to understand, interpret, and communicate data
• Learn new approaches through guided and self-directed exploration and research The goal of this practice set is to compare and contrast visualization approaches of data that conveys specific meaning and to continue growth in analysis and statistics. We will be working with a heart.csv dataset. The data in this dataset represents information about patients according to key indications described in Cellammal and Sharmilla
. • You can get the dataset and descriptive paper from Resources>Homework Materials>Part I • You can see the categories/distribution of datatypes at https://www.kaggle.com/johnsmith88/heartdisease-dataset.
Using the heart.csv dataset please generate TWO specific questions/hypotheses, their analysis, and results you wish to use this data to test. These hypotheses can be any of your choosing, but ideally allow you to practice multiple approaches to visualization and analysis.
a) Introduction: Describe in words what you wanted to ask and answer with the visualization and statistical approach and how you chose to state that exploration as a specific hypothesis to be tested. Please also address why you selected the particular visualization and statistical approach (specifically, motivated by what you learned about visualization or the practice you hoped to gain).
b) Methods: Describe any statistical or mathematical approaches you used or any data processing you might have applied.
c) Results: Provide the results of your study and two different visualizations of this data, where the second visualization offers an improvement on the level of detail and/or interpretability of the underlying approach. Examples: 1) A bar graph vs. a box plot, 2) A scatter plot with and without highlighting of specific subcategories, 3) different groupings of data by age or heart rate. d) Discussion: Compare and contrast your visualization approaches and discuss how they affect what someone would conclude from the visualization.
instructions
-using R show this vizualisation
- you address two different questions with the data •
-you include the two different visualization methods with the data where those methods are well suited to visualizing the information according to what you have read in the visualization readings •
-you make quantitative statements about the results, backed by appropriate statistical tests (qualitative statements that should be quantitative will not be accepted) • you provide the details requested above for each of the two questions (Intro, Methods, Results, Discussion) • you follow the general specifications (note especially the importance of figure legends and readability
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