One of the key parts of data analysis is to use summary statistics to understand the trend in the data. Understanding the variability in such summary statistics can be extremely useful to put weight on such summary statistics. Bootstrapping, resampling data with replacement is an extremely useful tool to quantify uncertainty. It was originally developed… Continue reading Pandas Bootstrap_plot(): Understand uncertainty
Tag: Pandas
Multiple Density Plots with Pandas in Python
Often you may have data belonging to multiple groups. Visualizing them as multiple density plot is a great way to understand the similarities and differences between the groups. In this tutorial, we will learn how to make multi-density plot using Pandas in Python. We will use developer salary from US (from Stack Overflow survey) with… Continue reading Multiple Density Plots with Pandas in Python
Density Plots with Pandas in Python
Pandas’ plot function is extremely useful in quickly making a variety of plots including density plots, boxplots and many more. In this post, we will see examples of making simple density plots using Pandas plot.density() function in Python. Let us first load the packages needed. We will use data from 2019 Stack Overflow developer survey.… Continue reading Density Plots with Pandas in Python
Time Series Plot or Line plot with Pandas
In this tutorial, we will learn how to make line plot or time series plot using Pandas in Python. Pandas’ plotting capabilities are great for quick exploratory data visualisation. Time Series plot is a line plot with date on y-axis. Let us load the packages needed to make line plots using Pandas. We will use… Continue reading Time Series Plot or Line plot with Pandas