I shared a guide for capturing screen movies on the fly. While SnapZ is a popular Mac choice, I also discussed using VirtualDub for Windows video capture and compression based on community feedback.
I share my go-to Windows software toolkit, covering essentials like Sublime Text 3 and Console2 alongside specialized data science tools like Anaconda, RStudio, and Open Refine for analysis and visualization.
I plotted IMDb ratings against vote counts to find outliers. I discovered that popular movies with low ratings, like Titanic and Star Wars: Episode I, are almost always big-budget blockbusters, while high-rated unpopular entries are usually TV shows.
I shared a dataset of the top 1000 most popular IMDb movies, including ratings and vote counts. I marked which ones I've watched to help analyze popular but lousy films, available via an embedded spreadsheet and Excel download.
I shared a link to Suku's thoughts on movies because they perfectly capture how I feel about cinema. It's a brief but beautiful reflection that resonated deeply with my own perspective on films.
I built a heatmap mapping IMDb ratings against vote counts to find movies I've missed. It helps me visualize popular high-rated outliers, track my viewing progress, and filter by genre to discover hidden gems outside the Top 250.
Comments
Sumit Dhar30 Nov 2005 1:28 am:
SnapZ is a Mac only application? For Windows, I use VirtualDub. Not very intuitive or easy to use, but does the job.
S Anand30 Nov 2005 11:07 am:
So do I! It’s pretty effective. I do my video compression on VirtualDub as well.
Comments