Book Image

Data Analysis with Python

By : David Taieb
Book Image

Data Analysis with Python

By: David Taieb

Overview of this book

Data Analysis with Python offers a modern approach to data analysis so that you can work with the latest and most powerful Python tools, AI techniques, and open source libraries. Industry expert David Taieb shows you how to bridge data science with the power of programming and algorithms in Python. You'll be working with complex algorithms, and cutting-edge AI in your data analysis. Learn how to analyze data with hands-on examples using Python-based tools and Jupyter Notebook. You'll find the right balance of theory and practice, with extensive code files that you can integrate right into your own data projects. Explore the power of this approach to data analysis by then working with it across key industry case studies. Four fascinating and full projects connect you to the most critical data analysis challenges you’re likely to meet in today. The first of these is an image recognition application with TensorFlow – embracing the importance today of AI in your data analysis. The second industry project analyses social media trends, exploring big data issues and AI approaches to natural language processing. The third case study is a financial portfolio analysis application that engages you with time series analysis - pivotal to many data science applications today. The fourth industry use case dives you into graph algorithms and the power of programming in modern data science. You'll wrap up with a thoughtful look at the future of data science and how it will harness the power of algorithms and artificial intelligence.
Table of Contents (16 chapters)
Data Analysis with Python
Contributors
Preface
Other Books You May Enjoy
3
Accelerate your Data Analysis with Python Libraries
Index

Part 3 – Creating a real-time dashboard PixieApp


As always, we first need to define the requirements for the MVP version of the dashboard. This time we'll borrow a tool from the agile methodology called a user story which describes the features we want to build from the perspective of the user. The agile methodology also prescribes fully understanding the context of the different users that will interact with the software by categorizing them into personas. In our case, we will only use one persona: Frank the marketing director who wants to get real-time insights from what consumers are talking about on social media.

The user story goes like this:

  • Frank enters a search query like for example a product name

  • A dashboard is then presented that displays a set of charts showing metrics about user sentiments (positive, negative, neutral)

  • The dashboard also contains a word cloud of all the entities being uttered in the tweets

  • Additionally, the dashboard has an option to display the real-time progress...