Alisha Sarfani’s Post

👽 Not Alone: A History of UFO Sightings 👽 Excited to share a little passion project of mine: a deep dive into the fascinating world of UFO sightings, brought to life through a Tableau dashboard. As someone who's always been intrigued by the idea that we might not be alone in this vast universe, diving into the data was a blast. 🚀 This dashboard takes you on a journey through the decades of mysterious encounters and the best part? While putting this together, I actually understood why our extraterrestrial friends keep swinging by for a visit. I've always believed that data can tell a story, and this one is out of this world. 🌌 📄Data source: adapted from this Kaggle dataset (https://lnkd.in/da9TdNKn ) 📊Tableau Public link: https://lnkd.in/dfqrDvnQ #UFOs #DataViz #Tableau #ExtraterrestrialInsights #TableauPublic

Remember, Red, hope is a good thing, maybe the best of things, and no good thing ever dies. I will be hoping that this letter finds you, and finds you well… This was Andy’s letter to Red(Morgan Freeman) at the end of movie Shawshank Redemption I had to watch the movie again after working on this 120 years worth of dataset from IMDb using Tableau. It was a whole lot of work but it was an exciting project/dashboard I enjoyed building. I now see why Shawshank Redemption is the best rated movie on IMDB Movie 🎥Fun Insight: it will take you approximately 1,656 years to watch all the 513,122 movies on IMDb #dataplusmovies #viz #datafam #tableau

Leveraging facet_wrap() to Clarify Visualizations in R: In data visualization, striking the right balance between detail and clarity is crucial. Adding numerous aesthetic mappings to a plot can often lead to clutter, making the data difficult to interpret. Today, I learned about a valuable solution to this from the book R for Data Science: the facet_wrap() function in ggplot2. This function is designed to partition a plot into 'facets', or subplots, each displaying a specific subset of the data—ideal for categorical variables. Example: Studying Penguins Across Islands: To illustrate, let’s draw from a dataset based on Dr. Kristen Gorman's research at Palmer Station, Antarctica. The data from biologists studying penguins across three different islands. For each penguin encountered, measurements are taken for flipper length and body mass, and the species is noted. 📈 Objective: Aiming to create a vivid chart, where different colors represent different penguin species, to visualize the relationship between flipper length and body mass. Importantly, we want separate charts for each island to facilitate a comparison of penguin patterns across these locations. ggplot(penguins, aes(x = flipper_length_mm, y = body_mass_g)) + + geom_point(aes(color = species, shape = species)) + + facet_wrap(~island) With this code, each island gets its own chart, making it seamless to compare penguin traits across different environments—all without overwhelming the viewer. #datavisualization #datascience #r #ggplot2

At this point I think I'm ready to run a 10-hour online course in Data Analysis using R Studio for absolute beginners. The ten weeks/hours could take you from setting up the studio, through reading data, making graphs, tables and doing stats, then finish with making maps and writing your beautiful report in Rmarkdown. Please let me know if you would be interested in this! Cheers, Dr Jordan Grigor Data Analyst and doctor in Oceanography 🙌📊💻 #data #dataanalysis #coding #jordangrigor #graphs #Rstudio

Tableau Bites 138th Edition is out today! ✔️ Switch Between Small Multiples and Tile Maps in Tableau - Matt Chambers, PhD, MBA ✔️ Antarctic Ice Extent - Donna Coles ✔️ Custom Sort Column Methods - Dawn Harrington ✔️ Reference Border Table Cells In Tableau - CJ Mayes Find the link in my profile, or Google “Tableau Bites” to prepare for your lunch break read today! #Tableau #TableauTips #TableauTraining

According to Wikipedia, box plot is a method of depicting groups of numerical data through their quartiles. Box plot may also have lines extending vertically from the boxes (whiskers) indicating the variability outside the upper and lower quartiles hence terms box and whisker plots. Outliers (Observation that is distant from other observations) may be plotted as individual points. In this short article, I have shared a step-by-step guide on how to create a box plot #chart in #tableau. Learn More: https://lnkd.in/gPWDNpKW #data #dataviz #datavisualisation #datastorytelling #datasciencetraining #dataliteracy #datascience #dataanalytics #big_data #bigdata #bigdataanalysis #businessanalytics #businessintelligence #datafam #tableautraining