On a lot of DataFrame objects, the index will typically be an ascending list of numbers. If I have something with dates, I ...

B2B sales journeys are dynamic and complex, involving numerous stages, stakeholders, interactions, and variables. But B2B selling also is equal parts data science and relationship building. “The art ...

You may have heard about NumPy and wondered why it seems so essential to data analysis in Python. What makes NumPy seemingly end up everywhere in statistical calculations with Python? Here are some ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Analyzing data can be helpful to a business in a variety of ways. Information generated about an organization’s operations – like sales data, employee data and customer data – can be explanatory, aid ...

When it comes to working with data in a tabular form, most people reach for a spreadsheet. That’s not a bad choice: Microsoft Excel and similar programs are familiar and loaded with functionality for ...

If you have lots of spreadsheets you would like to analyze, but unfortunately don’t have the time to invest in trawling through each one to any great depth, but known they contain a wealth of valuable ...

Lucas Downey is the co-founder of MoneyFlows, and an Investopedia Academy instructor. Yarilet Perez is an experienced multimedia journalist and fact-checker with a Master of Science in Journalism. She ...