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I Tried chDB for Analytics — Here’s What I Learned
Hello everyone! Welcome to another Interesting Tech Update on Analytics! Recently, I came across an interesting update about chDB in the TDLR Newsletter, which motivated me to explore it further. Until now, I’ve mostly worked with server‑based SQL engines such as PostgreSQL, MySQL, and SQL Server. I’ve also used serverless SQL engines on many challenge platforms like DataLemur, LeetCode, and HackerRank. These platforms typically use in‑process SQL engines, which don’t
Mukilyavimali
Jan 145 min read


Hospital Data Analysis Using Python
Healthcare organizations generate huge amounts of patient and provider data daily. In this blog, we use Python to analyze the HC Dataset from Kaggle, focusing on patient discharge trends, provider specialties, and ambulatory visit patterns. Key insights include variations in length of stay (LOS), discharge dispositions, and visit volumes, which help hospitals optimize staffing, improve operational efficiency, and improve patient care.
Neetu Rathaur
Jan 137 min read


Why Python for Data Analysis
Python makes data analysis simple and complete. You can clean data, merge files and databases, run statistical tests, and even prepare it for charts and models—all in one tool, for free.
Neetu Rathaur
Jan 95 min read


Data Cleaning Explained: How Clean Data Drives Better Visualizations and Decisions
Hi team! Check out my latest blog on why data cleaning is critical for accurate visualizations and better business decisions. I also show a real-world COVID-19 dataset case study using Python.
Gayathri Venkatachalam
Jan 98 min read


From COVID Survey Chaos to Clean Insights
The Python hackathon gave me hands-on experience analyzing the Flatten COVID-19 dataset in Jupyter Notebook—the digital lab book where data scientists prototype Python, R, and more. Before writing a single line of code, I learned the first rule of data analysis: deeply understand your dataset first. Dataset Reality Check: This wasn't hospital lab data. It contained self-reported COVID-19 symptom surveys from Ontario residents during early 2020, split across 3 evolving schemas
uzmafarheen
Jan 94 min read


Data Visualization Using Python: 6 Essential Chart Types And Their Best Use Cases
Visual storytelling in data analysis is the practice of using visuals—charts, graphs, plots, and annotated figures—to communicate...
pandeshruti
May 9, 20254 min read


The Power of Data Cleaning: Mess to Masterpiece
Suze Orman once said, “Cleanliness is a state of purity, clarity, and precision. ” This not only applies to our day-to-day cleaning, but...
Charishma Chadalavada
Dec 19, 20246 min read


EDA using Pandas Profiling
Photo by Stephen Phillips - Hostreviews.co.uk on Unsplash EDA (Exploratory Data Analysis) : Exploratory Data Analysis (EDA) is an...
Ruchi Sharma
Mar 31, 20223 min read


Difference between loc and iloc in pandas
Photo by Emily Morter on Unsplash In Data analysis, it is very important how you select data or in another terms Slicing and Dicing of...
Ruchi Sharma
Mar 28, 20223 min read
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