charts 1
GUIDE FOR CHARTS/GRAPHS I have a small sample of film data here.
I will generate the frequency tables I need for all the charts from this small sample. BAR CHARTS -‐ CHARTS 1, 2, AND 4 The process is the same for all, except for the variables you are going to use. I am going to use the example of doing the one about most successful studios based on the number of films released. Here you see where I have marked each studio with a different color because I want to know how many of each there are:
As you can see, there are 7 instances of BV, 1 of DW, 4 of Fox, etc. You will take this information and make a frequency table:
You generate the bar chart from this table by using: Charts/Column/Clustered Columns
You need to create a different frequency table for each of the bar graphs required but the process is the same. For the first chart, you need to make a frequency table by writing the genres and counting how many films for each. Then, using that table to construct the graph:
For the second graph, you need to have the genres and add up the revenue for each category of film. Add all the revenues for each particular genre and create another (smaller) frequency table. This is the table you will use to create your chart.
The key for these charts is that you can only have ONE genre per film. I know that some films fit several, so you must decide on one. There is no right/wrong here; it is what you decide to do.
TIME SERIES PLOT – CHART 3 The third chart, the times series, also requires you to make another table, this time by year. For each year, I will select the highest BO for each year and the studio that generated it. Then, I graph it by selecting a marked scatterplot. For this one, however, you need to select the format that allows you to name each point, that way you can insert the studio name.
Generate the time-‐series plot from this table with Charts/Scatter/Marked Scattered. This one is the “difficult” graph of the bunch. The minimum requirements for it to be correct are the title, the years on the x-‐axis, and the revenue on the y-‐axis.
PIE CHARTS – CHARTS 5 AND 6 For Chart 6, you need to count the instances that each of the genres repeat. From the sample data, it looks like this:
Create a frequency table from this; it would look like this:
You will use this frequency table to create your pie chart by using Chart/Pie
For Chart 6, you need to count the instances of each of the ratings of the films you have in your data. The sample data looks like this:
From this, you will construct a frequency table with the ratings and how many times each repeats. Here is what this table looks like:
From this frequency table you can create your pie chart by using Charts/Pie
CHARTS 7 AND 8 Both charts require the creation of different frequency tables. For Chart 7, you need to create a table with the ranges identified in the instructions, in increments of 50, starting at “Less than 50”.
Then count how many of these budgets fall in the categories. This table will look like this:
From this table, we generate our chart by Charts/Column/Clustered Columns.
For Chart 8, we also need to create a frequency table that shows the categories the assignment asks for, in this case, the returns in increments of 100 with a start point of “Less of 300”.
Count how many of the films fall in each category and make a frequency table:
Ideally, you want at least 1 for each category and this is what you will probably get; however, if you have zero (like in this example), just graph it as it is. Generate the graph by Chart/Column/Clustered Columns.
Make sure that all your charts are properly named and labeled. Let us know if you need any additional help.