Data visualization and analysis using Tableau

Instructions Proof of Data Selection and Upload into Tableau (40 Points Total) In this assignment, you will demonstrate successful upload of your selected dataset into Tableau and begin to analyze the dataset’s structure and potential for visualization. Part 1: Upload and Screenshot (10 Points) Select a dataset that contains clear and measurable Key Performance Indicators (KPIs) suitable for analysis. Recommended sources include Data.gov and Kaggle, though you are welcome to use other reputable sources. Upload your chosen dataset into Tableau Desktop. Submit a screenshot clearly showing the data loaded into Tableau. This serves as proof of successful upload. If you encounter any issues during the upload (e.g., formatting problems, missing values), provide a brief written summary describing the problem and how you resolved it. Note: References are not required for this portion. Part 2: Data Visualization Planning (30 Points) In a well-written summary, respond to the following: Visualization Techniques (15 Points) What types of visualizations will you use to explore and present your data (e.g., bar charts, scatter plots, line graphs, heat maps)? Justify your choices based on the type of data and intended audience. Include at least one scholarly or professional reference to support your use of visualization techniques. Key Data Items (15 Points) Identify and describe the key data fields or variables in your dataset. Explain how these variables relate to your KPIs or business research question. Indicate any planned calculated fields, groupings, or filters you anticipate using in Tableau. Deliverables: Screenshot of data uploaded into Tableau Summary of upload issues (if applicable) Written discussion of: Visualization techniques (with references) Key data items for analysis 10/10 Upload your selected data to Tableau (Show screenshot) 15/15 Discuss visualization techniques you will use on this data? 15/15 Discuss the key data items in the data that you will use?