Comparison of Netflix and Amazon Stock Perfomance (Jan. 1, 2013 - Oct. 1, 2022)
#Comparing the stock perforamnce of NFLX and AMC, its clear that both the companies operate in the entertainment sector, but have varying trajectories, what verisons of “success”. Latest available, NFLX closed at $629.28, increasing $1.78 during trading hours, with a market cap of $272.31 billion. The company has a 52-week range of $315.62 - $634.39, showcasing a steady upward trend over time. https://finance.yahoo.com/quote/NFLX/ # on the other hand, AMC ,most recently closed at $4.07, refelcting a @0.02 decrease during the trading hours. Clearly this is significantly lower than NFLX market cap. Its also important to note the 52-week range of $3.59 - $62.30, showcasing a lot of challenges or maybe change within the market. https://finance.yahoo.com/quote/AMC/ #contrasting the two, NFLX has seen much more growth and stability over the past year(s). I think its important to look at the statiscal data, but also it may not hurt to give smaller streaming services a chance.
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.
Bar chart showing quantity of Movies shows created and released in each time period by genre and minimum age of intended audience.
Number of Netflix Movies 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 | 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 |
#The table represents data onn the release time period reported from specific genres of NFL movies. Subset into four time periods, and further broken down into six different catgories of subtitles. We can see that the number, that we have rearranged from largest to smallest in the last category. Oberving and overall increase in the number of reported Movies over the years. The largest one was in years 2011-2015 andn 2016-2021, showcasing an increasing trend of NFLX movies during those years. Looking at the movies released across different subtitles is much more ditributed. Some show a consistent increase while other show movement, or even decrease. further analysis would allow us to explore the insights behind these trends. data source: https://www.kaggle.com/datasets/shivamb/netflix-shows
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
Number of Netflix Movies added each year from 2013 to 2021 by minimum age of intended audience.
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