Pandas Data Analysis with Lending Company Data

A huge thank you to everyone who joined us for our PyData Milton Keynes session on Geospatial Visualisation with Python, Web Scraping, and Folium 🌍 It was great to see such strong engagement and enthusiasm as we explored how to build real-world geospatial projects using Python by Hugh Evans. Your participation is what makes this community so valuable. If you missed it or would like to revisit the session, you can watch the full recording here: 🔗https://lnkd.in/ePtb5rvP #PyData #Python #DataScience #Geospatial #WebScraping #CommunityLearning

A practical piece from @GISGeography on some geospatial concepts - 𝐇𝐨𝐰 𝐆𝐈𝐒 𝐔𝐬𝐞𝐬 𝐌𝐚𝐩𝐩𝐢𝐧𝐠 𝐎𝐯𝐞𝐫𝐥𝐚𝐲𝐬 More: https://zurl.co/QGbvo And a free book sample on how to do this in Python: https://zurl.co/1RqcO

Day 2 of my Data Science Journey 💻✨ Today I explored basics of Pandas in Python. Learned how to work with datasets and understand data better 📊 Every small step is bringing me closer to my goal 😊 Still learning… still improving 🚀 What did you learn today? 👇 #DataScience #Python #LearningJourney #Pandas #CodingLife

🚢 Completed Titanic Survival Analysis! Tools: Python | Pandas | Seaborn | Matplotlib Key Findings: ✅ Females had higher survival rate ✅ First class passengers survived more ✅ Higher fare = better survival chance GitHub: https://lnkd.in/gTsrns4y #DataAnalysis #Python #Pandas #DataScience

Day 38 at Luminar Technolab Worked with Pandas DataFrame selection using iloc and explored different ways to access rows and columns. Getting more comfortable navigating structured data #Python #Pandas #DataAnalysis #LearningJourney

Day 6 of my Build in Public journey 🚀 Here’s what I focused on today 👇 💻 Python • Revised sets and learned about what a frozenset is • Learned how arrays work in Python (array module, NumPy arrays) • Read how list comprehensions work 🌐 HTML • Learned how to use images in web pages • Explored forms and how they work • Started with web accessibility basics #BuildInPublic #100DaysOfCode #LearningInPublic #Consistency

Excited to share my latest blog on Getting Started with Matplotlib in Python! 📊 In this article, I’ve covered the basics of data visualization using Matplotlib and how we can turn raw data into meaningful insights. This project helped me strengthen my understanding of Python and data visualization concepts. 🔗 Read here: https://lnkd.in/g5HZZ4jt I’d love to hear your feedback! #Python #Matplotlib #DataVisualization #MediumBlog #LearningJourney

A quick #geopandas cheat sheet on - and if you want to learn all of these (and a lot) more in Python, then: 𝐆𝐞𝐨𝐬𝐩𝐚𝐭𝐢𝐚𝐥 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐄𝐬𝐬𝐞𝐧𝐭𝐢𝐚𝐥𝐬 - 𝐒𝐞𝐜𝐨𝐧𝐝 𝐄𝐝𝐢𝐭𝐢𝐨𝐧 The book: https://lnkd.in/dy-7m_zz Sample: https://lnkd.in/dVP-Ty-Y GeoAI: https://lnkd.in/dDz_zgCH

Real data is never clean. Save this cheat sheet for the next time you are dealing with messy text columns. 12 pandas string functions. Grouped by what they actually do. Clean it. Find it. Transform it. Validate it. Follow Everyday Data People for a cheat sheet every day. #Python #Pandas #DataCleaning #DataScience #DataAnalytics #EverydayDataPeople

When more people can work with data, better insights follow. Swipe to see KNIME and Python work better together. ⬇️ Learn more: https://bit.ly/4bSj9Ov