December 2022
Beginner to intermediate
740 pages
18h 11m
English
Content preview from Python for Finance Cookbook - Second Edition
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3
Visualizing Financial Time Series
The old adage a picture is worth a thousand words is very much applicable in the data science field. We can use different kinds of plots to not only explore data but also tell data-based stories.
While working with financial time series data, quickly plotting the series can already lead to many valuable insights, such as:
- Is the series continuous?
- Are there any unexpected missing values?
- Do some values look like outliers?
- Are there any patterns we can quickly see and use for further analyses?
Naturally, these are only some of the potential questions that aim to help us with our analyses. The main goal of visualization at the very beginning of any project is to familiarize yourself with the data and get ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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