IE48A SUMMER TERM - BOUN
The R Markdown assignment consists of the creating a new R Markdown file and analysing of some blogs, pages, and videos, which are related to R. The information in the assignment 1 is related to Covid-19 and R combination. In additon to that, this assignment also includes information about my academic background.
The second assignment is related to implementation and practise of the dplyr() function and ggplot() function. By using EPIAS 01-31 July 2020 data, some examples are made in this assignment.
In the third individual, there are three different options to present and it is expected that one of these are chosen to make analysis. For this reason, I select diamond price estimation.
In the first assignment by using airbnb data, we prepare exploratory data analysis (EDA) to understand data. For this purpose, we prepare
In the group project, we analyze the 2020 online car market Turkey by using kaggle data set. The aim of this study is that (i) to provide exploratory analysis by using dplyr, tidyverse, etc. and (ii) to create a model for predicting of the car data. Hence, first we prepare a proposal, then we make an EDA report and shiny app. Lastly, we present a model to obtain final report of the project. You can reach our report by using following links:
For bonus projcet, we choose data.table. In this project, first we create a tutorial to explain this package and record a video to show information which we learn.
In this exercise, there is a basic shiny app implementation can be found. In this example Movies are used to create inteactive ggplot application by using shiny() package.
Exercise 1: The trial of the implementation of the join function. In this example, the course examples are re-maded to understand the logic of the join() function. You can also reach these examples in course page.