Hi, and welcome to my Data Analytics portfolio. Here, you’ll find projects that demonstrate my data analysis skills, identify patterns, and transform numbers into actionable insights.
GitHub Portfolio Link → https://github.com/danielmir3329/Daniel_Miranda_Portfolio
Tableau Public Link
Description
Link to Dashboard
File
1-This dashboard presents a high-level summary of Superstore data, including sales, profit, customer segments, and regional performance.
2- This dashboard explores audience preferences between the three Iron Man movies in the Marvel Cinematic Universe.
3-This dashboard visualizes overall sales performance, helping identify trends, top-performing products, and monthly revenue changes
https://public.tableau.com/app/profile/daniel.miranda.ruiz/viz/20MinutesDashboard/SuperStore20MinutesDashboard
https://public.tableau.com/app/profile/daniel.miranda.ruiz/viz/WhichIronManMovieDoYouThinkIsTheBest/IronManDashboard
https://public.tableau.com/app/profile/daniel.miranda.ruiz/viz/SalesDashboard_17445770596410/Dashboard
Which Iron Man Movie Do You Think Is The Best.twb
1—This dashboard provides an overview of movies and TV shows available on Netflix. It highlights trends in content over time and explores genre distribution, release years, country of origin, and top-rated titles.
Netflix TV Shows and Movies Dashboard.pbix
Descriptive Statistics: This R script efficiently retrieves and summarizes key descriptive statistics, such as mean, median, mode, standard deviation, and range, for any given dataset.
Logistic Regression: R code with logistic regression to predict outcomes based on input data.
Linear Regression: Linear regression used to explore the relationship between two variables.
Association Rules: R code to find patterns between items, like what products are often bought together.