In this post, we will be exposed to tools for wrangling and manipulating data in R. Let’s begin by loading the libraries we will be using. We will use the dplyr package and the gapminder package. dplyr is for manipulating the data and gapminder provides the dataset. You can look at the data briefly by […]
Collecting and preparing data for analysis is the primary job of a data scientist. This experience is called data wrangling. In this post, we will look at an example of data wrangling using a simple artificial data set. You can create the table below in r or excel. If you created it in excel just […]
In data science, exploratory data analyst serves the purpose of assessing whether the data set that you have is suitable for answering the research questions of the project. As such, there are several steps that can be taken to make this process more efficient. Therefore, the purpose of this post is to explain one process […]
Performing a data analysis in the realm of data science is a difficult task due to the huge number of decisions that need to be made. For some people, plotting the course to conduct an analysis is easy. However, for most of us, beginning a project leads to a sense of paralysis as we struggle […]
