In this assignment I am joining the nyc 'flights' and 'airports' dataset together. I use functions such as anti_join() and left_join() to derive insights from both datasets

I am analyzing the diamonds dataset in this assignment and have created box plots, heat maps, scatter plots with colors, and scatter plots with regression lines. The statistics concepts that I cover are: frequency distributions, measure of central tendency (mean, median, and mode), explanatory variables (a type of independent variable), and variability.

This page is where I write about key statistics concepts and notes that I am picking up along my data analytics learning journey. This page also contains code on how to create different visualizations in R (boxplots, heatmaps, scatterplots).

Analyzing the flight delays and arrivals from each airline and destination from the 'flights' dataset from the nycflights13 library. Also looking at the batting averages of each baseball player from the 'Batting' dataset from the Lahman library. Graphs Produced: scatterplots, bar charts,

Examining the relationship between different car features (cylinders, highway mpg, car mpg, car displacement) Plots used: bar plots and scatter plots