In this project, you will examine some graphs that we have created, and then you will recreate them using Matplotlib.

Recreate Graphs using Matplotlib!

Now, we are going to look at the chart called `stacked-bars.png`. This graph displays the breakdown of students who got As, Bs, Cs, Ds, and Fs in each unit.

![stacked](https://content.codecademy.com/courses/matplotlib/project_ii/stacked.png)

The data you will need to recreate this chart is in the lists `As`,  `Bs`, `Cs`, `Ds`, `Fs`, and `unit_topics`.

Save your recreated chart to a file called `my_stacked_bar.png`. 

Stacked Bars

Let's imagine that you are working as a high school math teacher. You want to display important metrics about your current class and the ones you have taught in previous years, in order to understand patterns and trends that may not be visible from just seeing the numbers in a spreadsheet. 

In this project, you will examine some graphs that we have created, and then you will recreate them using Matplotlib. This will give you a chance to practice with the plot types and properties we explored in Lesson 2. 


Project Introduction

Now, we are going to look at the chart called `line_graph.png`. This displays the relationship between the time students say they studied and the scores they received on their final exams.

![fill_between](https://content.codecademy.com/courses/matplotlib/project_ii/fill_between.png)

The data you will need to recreate this chart is in the lists `hours_reported` and `exam_scores`.

Save your recreated chart to a file called `my_line_graph.png`. 

Line with Shaded Error

Now, we are going to look at the chart called `side-by-side.png`. This displays the differences in average test scores between students who went to two different middle schools before enrolling in your high school.

![sidebyside](https://content.codecademy.com/courses/matplotlib/project_ii/sidebyside.png)

The data you will need to recreate this chart is in the lists `middle_school_a`, `middle_school_b`, and `unit_topics`. 

Save your recreated chart to a file called `my_side_by_side.png`. 

Side By Side Bars

Now, we are going to look at the chart called `histograms.png`. This displays the breakdown of final exam scores between your first year of teaching vs your second year of teaching.

![histogram](https://content.codecademy.com/courses/matplotlib/project_ii/multiple_histogram.png)

The data you will need to recreate this chart is in the lists `exam_scores1` and `exam_scores2`.

Save your recreated chart to a file called `my_histogram.png`. 

Two Histograms on a Plot

Now, we are going to look at the chart called `pie.png`. This displays what students think the hardest topic covered throughout your math course is.

![pie](https://content.codecademy.com/courses/matplotlib/project_ii/pie.png)

The data you will need to recreate this chart is in the lists `unit_topics` and `num_hardest_reported`.

Save your recreated chart to a file called `my_pie_chart.png`. 

Labeled Pie Chart

First, we are going to look at the chart called `bar_chart.png`.

![bar_chart](https://content.codecademy.com/courses/matplotlib/project_ii/bar_chart.png)

The data you will need to recreate this chart is in the lists `past_years_averages`, `years`, and `error`. 

Save your recreated chart to a file called `my_bar_chart.png`. 