The purpose of this repository is to display the functionality of Hvplot. As a data analyst, being able to gain insights through data visualization is an important skill. Hvplot is a Python library for creating interactive data visualizations in Jupyter notebooks and web applications. It is built on top of the HoloViews library and provides a simple interface for creating high-level plots with concise and intuitive syntax. Hvplot supports a wide range of chart types, including line plots, scatter plots, bar charts, histograms, and more, and allows you to customize the appearance and behavior of your plots using a variety of options.
The .csv file we are working with contains 397 rows and 5 columns. We are going to read in the data using the Path library and display some rows.
Next, using the group by function we will aggregate the data by year and obtain the average.
Once the data is aggregated in this maner we will simply call an Hvplot function to create a bar chart displaying average rent per year during the lenght of the data provided.
