Residency Day 2 Assessment Paper For ITS836 Data
Its836 Residency Day 2 Assessment Papercourse ITS836 - Data Science & Big Data Analytics (Part 1) - Download Tableau A hands-on assessment project to explore the world of data analytics in operational excellence
Transform dirty data into meaningful information
Overview: Tableau desktop (Business analytics anyone can use) - Tableau Desktop is based on breakthrough technology from Stanford University that lets you drag & drop to analyze data. You can connect to data in a few clicks, then visualize and create interactive dashboards with a few more. Tableau is a system that supports people’s natural ability to think visually.
Shift fluidly between views, following your natural train of thought. You’re not stuck in wizards or bogged down writing scripts. You just create beautiful, rich data visualizations.
Paper For Above instruction
This assignment involves a practical, hands-on project using Tableau to analyze and visualize a sample dataset, along with a comparative review of data analysis tools.
The first part requires downloading Tableau Desktop and Tableau Prep, activating the software via provided products keys, and exploring the platform's capabilities. Students will use the Sample Superstore dataset, which contains details about product sales, customer information, and regional data. The task involves connecting to the dataset, transforming raw data into insightful visualizations, and creating a series of graphical representations, including horizontal bars, stacked bars, text tables, circle views, scatter plots, and highlight tables. Students will be responsible for taking screenshots of each visualization, labeling them correctly, and creating a brief overview explaining the purpose and insights generated by each sheet.
Specifically, students will open the sample dataset from a specified directory, connect to the relevant sheets, and perform the following steps: rename sheets for clarity, drag relevant dimensions to Rows, measures to Columns, and experiment with different visualization types to understand their impact. Students will save each visualization and take snapshots, then compile all in a Word document, ensuring the visualizations are clearly labeled and accompanied by descriptive paragraphs explaining their insights and significance.
Furthermore, students are tasked with designing two additional visualization sheets using different combinations of dimensions and measures, capturing screenshots of these custom designs, and including them in their final compilation. The final deliverable is a comprehensive Word document containing all visualizations, their descriptions, and an overview paragraph for each sheet, reflecting on what insights are gained from each visualization and how they contribute to understanding the underlying data.
The second part of the assignment involves examining and comparing five other data analysis and visualization tools with Tableau. The comparison should be detailed, highlighting features, ease of use, scalability, integration capabilities, and suitable use cases for each tool. This analysis aims to contextualize Tableau’s strengths and limitations within the broader ecosystem of data visualization tools.
Students are instructed to save their work with specific naming conventions, review the completed visualizations for accuracy and clarity, and submit their document via the specified platform for grading. This project emphasizes practical application of data visualization skills, comprehension of diverse analytical tools, and the ability to interpret and communicate data insights effectively.