By Jerin Lalichan
Line Plot
The line plot is one of the most basic plots in the seaborn library. This plot is mainly used to visualize the data in the form of some time series, i.e. in a continuous manner.
Barplot
A barplot is basically used to aggregate the categorical data according to some methods and by default, it’s the mean. It can also be understood as a visualization of the group by action. To use this plot we choose a categorical column for the x-axis and a numerical column for the y-axis, and we see that it creates a plot taking a mean per categorical column.
I am doing a challenge - #66DaysofData in which I will be learning something new from the Data Science field for 66 days, and I will be posting daily topics on my LinkedIn, On my GitHub repository, and on my blog as well.
The article gives a focused introduction to two commonly used Seaborn visualizations: line plots and bar plots. The explanation of line plots as a way to visualize continuous or time-series data provides a straightforward starting point for understanding when this chart type is useful.
ReplyDeleteThe discussion of bar plots is also helpful, particularly the explanation of using a categorical variable on the x-axis and a numerical variable on the y-axis to visualize aggregated values. These practical examples make the topic relevant for learners working through a Seaborn Course.
Together, the line plot and bar plot examples demonstrate how different chart types can be selected according to the structure and purpose of the data. These concepts provide a useful foundation for broader Data Visualization Training with Python.
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