Book Image

Python Data Analysis - Third Edition

By : Avinash Navlani, Ivan Idris
5 (1)
Book Image

Python Data Analysis - Third Edition

5 (1)
By: Avinash Navlani, Ivan Idris

Overview of this book

Data analysis enables you to generate value from small and big data by discovering new patterns and trends, and Python is one of the most popular tools for analyzing a wide variety of data. With this book, you’ll get up and running using Python for data analysis by exploring the different phases and methodologies used in data analysis and learning how to use modern libraries from the Python ecosystem to create efficient data pipelines. Starting with the essential statistical and data analysis fundamentals using Python, you’ll perform complex data analysis and modeling, data manipulation, data cleaning, and data visualization using easy-to-follow examples. You’ll then understand how to conduct time series analysis and signal processing using ARMA models. As you advance, you’ll get to grips with smart processing and data analytics using machine learning algorithms such as regression, classification, Principal Component Analysis (PCA), and clustering. In the concluding chapters, you’ll work on real-world examples to analyze textual and image data using natural language processing (NLP) and image analytics techniques, respectively. Finally, the book will demonstrate parallel computing using Dask. By the end of this data analysis book, you’ll be equipped with the skills you need to prepare data for analysis and create meaningful data visualizations for forecasting values from data.
Table of Contents (20 chapters)
Section 1: Foundation for Data Analysis
Section 2: Exploratory Data Analysis and Data Cleaning
Section 3: Deep Dive into Machine Learning
Section 4: NLP, Image Analytics, and Parallel Computing

Advanced visualization using the Seaborn package

Visualization can be helpful to easily understand complex patterns and concepts. It represents the insights in pictorial format. In the preceding sections, we have learned about Matplotlib for visualization. Now, we will explore the new Seaborn library for high-level and advanced statistical plots. Seaborn is an open source Python library for high-level interactive and attractive statistical visualization. Seaborn uses Matplotlib as a base library and offers more simple, easy-to-understand, interactive, and attractive visualizations.

In the Anaconda software suite, you can install the Seaborn library in the following way:

Install Seaborn with pip:

pip install seaborn

For Python 3, use the following command:

pip3 install seaborn

You can simply install Seaborn from your terminal or Command Prompt using the following:

conda install seaborn

If you are installing it into the Jupyter Notebook, then you need to put the ! sign before the pip command...