点击上方“Deephub Imba”,关注公众号,好文章不错过 !探索性数据分析（EDA）的本质不是画图和算统计量，而是不被自己的数据欺骗。分类列是最容易出问题的地方。city、category、product、department、role、customer_type——这些列看起来很简单，跑个 ...

Abstract: Python data science libraries such as Pandas and NumPy have recently gained immense popularity. Although these libraries are feature-rich and easy to use, their scalability limitations ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Keizo Asami Institute, iLIKA, Federal University of Pernambuco, Recife, Pernambuco 50670-901, Brazil Graduate Program in Biology Applied to Health, PPGBAS, Federal University of Pernambuco, Recife, ...

InsightData is an intelligent data analysis tool that turns natural language queries into Python code. Built using Streamlit, LangChain, and Google Gemini (Flash 2.5), it allows users to upload ...

What if you could turn Excel into a powerhouse for advanced data analysis and automation in just a few clicks? Imagine effortlessly cleaning messy datasets, running complex calculations, or generating ...

import seaborn as sns iris = sns.load_dataset('iris') iris.to_csv('iris.csv', index=False) # Save to CSV first to simulate real-world usage ...

What if the tools you already use could do more than you ever imagined? Picture this: you’re working on a massive dataset in Excel, trying to make sense of endless rows and columns. It’s slow, ...

In this tutorial, we will guide you through building an advanced financial data reporting tool on Google Colab by combining multiple Python libraries. You’ll learn how to scrape live financial data ...