Use the explore package to easily explore the variables in your dataset and create reports, filtering and cleaning data, and then export clean data as an Excel file into your directory.

Week 5,learned how to map our data using a dataset from HIV Atlas. Mapping the metrics of interest "Estimated Incidence" in the U.S.

Using CDC Atlas HIV Data to Clean Data, deal with missing values, select variables of interest, create new variables, and filter variables to meet conditions Weeks 3 & 4: Data Manipulation, Filtering, and Debugging Objectives: Enable efficient manipulation of data structures. Teach techniques for filtering and selecting relevant variables. Introduce debugging tools and methods.

HW Task: Creating a data frame with 5 columns What R We Doing with Our Data: A Community-Academic Approach to Assessing HIV Data using RStudio Week 2: Data Import and Cleaning Objectives: Import various health data formats. Emphasize the importance of data cleaning for accurate analysis. Recorded Lecture: “Importing and Cleaning Data” Tasks to Complete: Homework 1 Online Meeting Time (Optional): 11/15