R is one of the most popular, powerful data analytics languages and environments in use by data scientists. Much more than a database server, it's a rich ecostructure with advanced analytic capab Even if you are an absolute beginner, this book will teach you all you need to know to write simple programs in C and start creating GUIs. The first half of the book is an introduction to C, and covers the basics of writing simple command-line programs.
The second half shows how to use the GTK user interface toolkit with C to create feature-rich Processing such data provides a multitude of information. Processing such information based on our experience, judgment or jurisdiction elicits knowledge as the result of learning.
But the million-dollar question is - how do we get meaningful information from such data? The answer to this is Exploratory Data Analysis EDA as a process for investigating datasets, elucidating subjects, and visualizing the outcomes.
EDA is an approach for data analysis that applies a diversity of techniques to maximize certain insights into a data set; reveal underlying structure; extract significant variables; detect outliers and anomalies; test underlying assumptions; develop models, and determine best parameters for future estimations.
This book "Hands-On Exploratory Data Analysis with Python" is built on providing practical knowledge about the main pillars of EDA including data cleaning, data preparation, data exploration, and data visualization. Why visualization? Well, several research studies reveal portraying data in graphical form is clearer and makes complex statistical data analyses and business intelligence more marketable. The readers will get the opportunity to explore open-source datasets including healthcare data, demographics data, Titanic data set, Wine Quality data set, Boston housing pricing dataset, and many others.
Using these real-life datasets, the readers get hands-on practice to understand the data, summarize their characteristics and visualize them for business intelligence. The book expects readers to use Pandas, a powerful library for working with data, and other core Python libraries including NumPy and SciPy, StatsModels for regression, and Matplotlib for visualization.
Please note we tested the codes presented in this book with the specific version of pandas , matplotlib , python and other Python libraries. Running the code with a newer or older version might result in warnings and errors. Shop now. View Larger Image. Register your product to gain access to bonus material or receive a coupon. This eBook includes the following formats, accessible from your Account page after purchase:.
EPUB The open industry format known for its reflowable content and usability on supported mobile devices. This eBook requires no passwords or activation to read. We customize your eBook by discreetly watermarking it with your name, making it uniquely yours. The only SQL book students will ever need Fully updated for the latest databases and more advanced techniques One of the few books that focuses on generic SQL, and not one particular vendor's version of SQL Updated with hundreds of new examples compliant with the latest databases, including MySQL Written in a clear, jargon-free, easy-to-understand style.
Now, author John L. Viescas has updated this hands-on classic with even more advanced and valuable techniques. Step by step, Viescas guides you through creating reliable queries for virtually any current SQL-based database. He demystifies all aspects of SQL query writing, from simple data selection and filtering to joining multiple tables and modifying sets of data.
Applying window functions to answer more sophisticated questions, and gain deeper insight into your data Software-Independent Approach!
Download the book's code samples What is a SQL Query? Download the sample pages includes Chapter 7. We've made every effort to ensure the accuracy of this book and its companion content.
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How to Visualize Data with D3 [Video]. How to Visualize Data with R [Video]. Teorey, Sam S. Lightstone, Tom Nadeau, H. Database Modeling and Design, Fifth Edition, focuses on techniques for database design in relational database systems. This extensively revised fifth edition features clear explanations, lots of terrific examples and an illustrative case, and practical advice, with design rules that are applicable to any SQL-based system.
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