You're reading from The Pandas Workshop

Product typeBook

Published inJun 2022

Reading LevelBeginner

PublisherPackt

ISBN-139781800208933

Edition1st Edition

Languages

Python

Tools

NumPy Pandas

Concepts

Data Science

Authors (4):

Blaine Bateman

Saikat Basak

Thomas V. Joseph

William So

View More author details

Activity 14.01 – analyzing air quality data

Consider that you're working as a data analyst for your city's municipality. The Department for the Environment needs your help in getting answers to some questions related to emissions. The following are the questions the department wants answers to:

Which day of the week has the highest NO2(GT) emissions?
At what time of the day are NMHC(GT) emissions highest?
Which month has the lowest CO(GT) emissions?
Note
The emissions dataset has been sourced from the following link:
https://archive.ics.uci.edu/ml/machine-learning-databases/00360/
You can find the dataset in the GitHub repository for this book. Download the data, unzip the data, and then load the CSV file in a data folder of your local machine. The department needs the answers through good visualizations.

The following steps will help you complete this activity:

Open a new Jupyter notebook.
Download the data and then read the data using...

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The Pandas Workshop

Published in: Jun 2022Publisher: PacktISBN-13: 9781800208933

Authors (4)

Blaine Bateman

Blaine Bateman has more than 35 years of experience working with various industries from government R&D to startups to $1B public companies. His experience focuses on analytics including machine learning and forecasting. His hands-on abilities include Python and R coding, Keras/Tensorflow, and AWS & Azure machine learning services. As a machine learning consultant, he has developed and deployed actual ML models in industry.
Read more about Blaine Bateman

Saikat Basak

Saikat Basak is a data scientist and a passionate programmer. Having worked with multiple industry leaders, he has a good understanding of problem areas that can potentially be solved using data. Apart from being a data guy, he is also a science geek and loves to explore new ideas in the frontiers of science and technology.
Read more about Saikat Basak

Thomas V. Joseph

Thomas V. Joseph is a data science practitioner, researcher, trainer, mentor, and writer with more than 19 years of experience. He has extensive experience in solving business problems using machine learning toolsets across multiple industry segments.
Read more about Thomas V. Joseph

William So

William So is a Data Scientist with both a strong academic background and extensive professional experience. He is currently the Head of Data Science at Douugh and also a Lecturer for Master of Data Science and Innovation at the University of Technology Sydney. During his career, he successfully covered the end-end spectrum of data analytics from ML to Business Intelligence helping stakeholders derive valuable insights and achieve amazing results that benefits the business. William is a co-author of the "The Applied Artificial Intelligence Workshop" published by Packt.
Read more about William So

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Activity 14.01 – analyzing air quality data

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