Practical Data Analysis
Transform, Model, and Visualize Your Data Through Hands-on Projects, Developed in Open Source Tools
Transform, Model, and Visualize Your Data Through Hands-on Projects, Developed in Open Source Tools
What you will learn from this book •Work with data to get meaningful results from your data analysis projects •Visualize your data to find trends and correlations •Build your own image similarity search engine •Learn how to forecast numerical values from time series data •Create an interactive visualization for your social media graph •Explore the MapReduce framework in MongoDB •Create interactive simulations with D3js Approach Practical Data Analysis is a practical, step-by-step guide to empower small businesses to manage and analyze your data and extract valuable information from the data Who this book is written for This book is for developers, small business users, and analysts who want to implement data analysis and visualization for their company in a practical way. You need no prior experience with data analysis or data processing; however, basic knowledge of programming, statistics, and linear algebra is assumed
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