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This course delves into data manipulation, analysis, and visualization with R. It demonstrates the power of R as open-source statistical software, unlocking valuable insights for decision-making across diverse fields.

You'll begin by mastering the basics of R programming, fundamental data structures in R, and file management. You will learn fundamental statistical concepts such as hypothesis testing and regression analysis. You will also learn to leverage well-structured data for creating insightful visualizations using R's robust graphics libraries.

After completing this course, you'll confidently approach data-driven challenges. With proficiency in R, you can efficiently manipulate and analyze data, positioning yourself as a sought-after asset in data-centric roles. Your ability to interpret statistical results and create compelling data visualizations will empower improved decision-making, paving the way for new opportunities for career growth and success across various industries.

Introduction to Data Analysis and Visualization with R

## Features
A line plot is a type of visualization used to display changes in data over time. It consists of a series of data points that are connected by straight lines. We can show trends, highlight anomalies, compare multiple data series, and predict the trends with line charts. We use line plots in various fields like finance, economics, and the natural and social sciences. They are especially useful in visualizing time series data.  



# Features
A line plot is a type of visualization used to display changes in data over time. It consists of a series of data points that are connected by straight lines. We can show trends, highlight anomalies, compare multiple data series, and predict the trends with line charts. We use line plots in various fields like finance, economics, and the natural and social sciences. They are especially useful in visualizing time series data.  



Learn how to generate line plots and change their style.

Getting Started

File Management

Data Structures

Data Cleaning

Statistical Analysis

Data Transformation

Data Visualization

Conclusion

Evaluation

Netflix Shows

Line Plots

Features