Assigment 1 : RMarkdown Homework
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Gül Zor
October 05,2021
About Me
Hello everyone! My name is Gül Zor. I graduated from Kadir Has University with a Bachelor’s Degree in Bioinformatics and genetics. I interested in sculpture, painting and discover new places. I have been worked Clinical research for 8 months. Then I decided to don’t want to work in this sector and wanted to change my career toward data science. I already started to work on PWC in Assurance department as a data scientist. I have 3 cats named Bebito, Bir and Ayhan. About 2 months ago I found a pregnant cat and brought it into my garden. She gave birth to 8 cats and I’m still trying to adopt them.
UseR 2021 Tutorials : Data visualization using ggplot2 and its extensions
Lecturers: Haifa Ben Messaoud (Data scientist), Amir Souissi(Consultant Data Scientist), Kaouthar Driss (Data Scientist Engineer), Mouna Belaid (Data Scientist)
Ggplot2 is a very useful tool to data visualization. By using ggplot2 you can create boxplot, bar plot, scatter plot, density histogram etc. Before use the ggplot2 need to import packages that are tidyverse , colorspace, corrr, cowplot, ggdark, ggforce, ggrepel, ggridges, ggsci, ggtext, ggthemes, grid, gridExtra, patchwork, rcartocolor, scico, showtext, shiny, plotly, highcharter, echarts4r. First the data needs to imported and then it’s necessary to specify which graph to use. x and y axes can be determined, the colors of the variables can be changed, labels, titles, grid lines can be added, background color can be changed etc. In addition, animation and patchwork graphs can be created by using these packages.
Some exemplary plots included in this tutorial.
F1 Strategy Analysis
Perhaps the most important thing in F1 is the determination of racing strategy. The strategy varies according to the car, drives , other teams, equipment, tyres. This article explains that the race strategy that was previously created with excel VBA is now done with R. For example, in this article, there is an example used to calculate the deterioration rates of tyres with R and the information obtained according to tyre types.
Radar Chart in R with ggradar
The radar chart is used to visualize multiple quantitative variables. In this graph, variables are compared in two-dimensional space. The Ggradar package used in R is also used to generate this graph. This graph compares quantitative data as an alternative to a table. Axis, grids, center point , values are the basics elements of ggradar graph.
Sentiment Analysis on Reddit using R
According to Wikipedia, Reddit is an American social news aggregation, web content rating and discussion website. Registered members probably don’t know each other, but since it’s a large network, there’s a lot of interaction. In this article, sentiment analysis was performed with reddit data in R. It was used in this analysis because it contains a large, comprehensive, and many socio-cultural structures. Of course, there are downsides to using this platform. As with many social media platforms, there are too many bot accounts here. RedditExtractoR package was used for this analysis.