# Math for Data Science Beginners: Plotting and Data Visualization

## Mathematics remains a major hindrance for beginners trying to get into data science

Most beginners interested in getting into the field of data science are always concerned about the math requirements. Data science is a very quantitative field that requires advanced mathematics. But to get started, you only need to master a few math topics. In this series of articles, we will dive deep and discuss the essential math topics that must be reviewed before embarking on a data science journey. The topics to be covered in the series are:

**Functions****Plotting and Data Visualization****Linear Regression****Statistics and Probability****Linear Algebra**

Other articles in the series:

https://benjaminobi.medium.com/math-for-data-science-beginners-linear-regression-85627d2cc26c

# Plotting and Data Visualization

Most of basic data science is focused on finding the relationship between ** features **(

**) and a**

*predictor variables***(**

*target variable***). The predictor variables are also referred to as the**

*outcome***, while the target variable is the**

*independent variables***.**

*dependent variable*Plotting and data visualization can tell different types of stories between features and target variables e.g. comparing different quantities, studying trends, quantifying relationships, or displaying proportions. Plotting or data visualization is the oldest and most important branch of data science.

In this article, we examine various types of plots used in data science and machine learning.