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InteractiveResource . 2020
License: CC BY
Data sources: Datacite
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InteractiveResource . 2020
License: CC BY
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InteractiveResource . 2020
License: CC BY
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A showcase of Data Analysis in Python and R: A case study using COVID-19 data

appsOther research productkeyboard_double_arrow_right InteractiveResource 01 May 2020Publisher:Zenodo
Authors: Dr Malcolm Ramsay;

doi: 10.5281/zenodo.6423522 , 10.5281/zenodo.6423521

A showcase of Data Analysis in Python and R: A case study using COVID-19 data

Abstract

About this webinar In all fields of research we are being confronted with a deluge of data; data that needs cleaning and transformation to be used in further analysis. This webinar demonstrates the effective use of programming tools for an initial analysis of COVID-19 datasets, with examples using both R and Python. Webinar Topics Cleaning up a dataset for analysis Using Jupyter lab for interactive analysis Making the most of the tidyverse (R) and pandas (python) Simple data visualisation using ggplot (R) and seaborn (python) Best practices for readable code Licence Copyright © 2021 Intersect Australia Ltd. All rights reserved.

Keywords

python, data visualisation, r, covid, data manipulation, programming

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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Corona Virus Disease