Freelancers using Tableau in Olivos
Freelancers using Tableau in Olivos
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Olivos, Argentina
Data Analyst, Web & App Developer. Camera-free. Love,đź’š
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Data Analyst, Web & App Developer. Camera-free. Love,đź’š
35
For this week’s #contraquest, I want to share the project that means the most to me. A Data Analysis of the Film Noir Era (1940–1962) On the surface, it’s a data pipeline: raw Excel, Python ETL, Tableau dashboard... The minor reason it’s special is that I stepped outside my comfort zone and used Tableau instead of my usual Power BI. But the major reason is personal. This topic, American Film Noir, takes me back to my last year of high school, when I wrote a monograph on the genre’s Golden Age. Revisiting it now, through the lens of data analysis, felt like reconnecting with a piece of my past. Check it out on my GitHub repo (https://github.com/ciroduro01/Film_Noir_Movies/tree/main), or read the Medium article (https://medium.com/@ciroduro01/shadows-cinema-a-data-analysis-of-the-film-noir-era-1940-1962-b2dd80cde76c).
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It’s summer in the Southern Hemisphere, and families in this area are heading to the beach. One of the most amazing places to visit is Florianópolis, known for its vibrant culture and seaside charm. To understand what makes the city’s Mercado Público so special, I built an end‑to‑end data pipeline: scraping Google Maps reviews with Python and Selenium, storing them in PostgreSQL, and categorizing them with Pandas. The insights are visualized in an interactive Tableau dashboard. It's also the first time I used another tool: Beekeeper! This project blends data engineering, sentiment analysis, and business intelligence to highlight how people experience one of Brazil’s most beloved destinations. You can explore my GitHub repo (https://github.com/ciroduro01/floripa_tourism_analysis) for more information. Have a nice week! ♥️
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Financial Market Analysis: Stocks & Crypto Volatility
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A couple of days ago, I was replying to a post by @Anton Zalis and made me realize something: I shouldn't leave my first projects in the attic gathering dust; stick to what you already know. This project is actually an improvement of the very first project I ever made with Python: a Word Analyzer. Users can insert text to find the total word count and identify the most frequently used words. I’ve added a toggle to exclude common 'stopwords' (like 'the', 'a', etc.) and included buttons to export reports in both CSV and PDF formats. For the frontend, I opted for clear, pastel colors instead of a dark mode. The sun is shining today, and I felt inspired to create something bright. Hope you like it!💚
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