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.
Number of Netflix TV shows from each Genre and Release Period (when they were created and first aired).
Release Time Period | Int | Dr | C | K | Do | A/A |
---|---|---|---|---|---|---|
1981-2000 | 4 | 5 | 11 | 18 | 4 | 3 |
2001-2010 | 83 | 39 | 34 | 32 | 21 | 12 |
2011-2015 | 236 | 115 | 95 | 69 | 55 | 12 |
2016-2021 | 1023 | 602 | 486 | 329 | 313 | 140 |
Once corrected, genres should be shown in plot and table in order of prevalence.
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
This plot does not include genre information (shown in Plot 2).
Further analyses would benefit from having data that differentiates between Netflix original content and Netflix content purchased from other sources.
Link to additional information on geom_area plots
Link to additional information on the R Color Brewer options