The three data streams appear redundant in each plot, but the interactive nature of the hchart allows the viewer to examine differences between the high, low and adjusted at small intervals.
The trend in the two plots appear similar but the y-axis axis scale differs.
This plot is an alternative to the High-Low Candlestick plot which can also be created as a hchart
Text after the *** appears in right panel, next to plot
panel.
Other descriptive information, insights.
###Dygraph Panel for Comparison
Some features that are available to users creating a dygraph include the use of event lines (command dyEvent) and shading (command dyShading).These 2 features used separately or combined allow a data analyst to create a story behind the data points and provide further explanation for any movement in the data. In this example using stocks, an event line could represent a major macroeconomic event that impacted the stock market (along with many other possibilities).
Number of Netflix Movies from each Genre and Release Period (when they were created and first aired).
| Release Time Period | Int | Dr | C | Do | K | A/A |
|---|---|---|---|---|---|---|
| 1981-2000 | 123 | 165 | 151 | 10 | 35 | 111 |
| 2001-2010 | 347 | 323 | 315 | 31 | 92 | 168 |
| 2011-2015 | 574 | 484 | 398 | 132 | 133 | 163 |
| 2016-2021 | 1627 | 1372 | 1106 | 656 | 374 | 372 |
Once corrected, genres should be shown in plot and table in order of prevalence (I=International, D=Drama, C=Comedy, K=Kids, Do=Docuseries, A/A=Action/Adventure)
Note that the stacked barplot for these data can not be created until
min_age variable is converted to a factor
variable with specified categories, 0,7,13,and 17.
Link to additional information on grouped and stacked bar charts
Link to additional information on plots with facets and a bonus link
The pie chart series would provide the most useful insight. In the pie chart series, you are able to examine the exact number of movies in each category and the proportions attributed to each age group in a given year. This is more insightful than the area plot that demonstrates a general trend without exact proportions.
Link to additional information on geom_area plots
Link to additional information on the R Color Brewer options
The area plot represents total revenue by adding expenditures and net income. The proportions are visualized more clearly in the area plot as it shows how much of net income is represented by expenditures and net income. So, the area plot shows this relationship more clearly as in the line plot, the relationship is not as apparent.
Financial Data for Netflix came from Yahoo Finance.
Question 7 Answer: The area plot represents total revenue by adding expenditures and net income. The proportions are visualized more clearly in the area plot as it shows how much of net income is represented by expenditures and net income. So, the area plot shows this relationship more clearly as in the line plot, the relationship is not as apparent.