How Many Rows of Data Can Excel Handle? Excel spreadsheet can handle 1,048,576 rows and 16,384 columns at a time. If you are dealing with large datasets, it’s inherent that you will have limitations using Excel Power Query. If you haven’t heard of Power Query is a tool that is built into Microsoft Excel and […]
XLOOKUP is a relatively new lookup function that has advantages in terms of flexibility and simpler syntax over VLOOKUP. We will explore why these advantages and why VLOOKUP is more prone to issues that XLOOKUP escapes. Also, there may be a specific need for the user to choose XLOOKUP. First, let’s dive into a quick […]
Pandas is a powerful Python library for data manipulation and analysis, and one of its most useful features is the ability to create pivot tables. Pivot tables can help you summarize and analyze large datasets quickly and efficiently, and Pandas makes it easy to create them using the pivot_table() function. You can check out the […]
Find outlier is essential for a host of reasons from not skewing your averages to ensuring that machine learning algorithms function properly. In this tutorial, I am going show you several ways in which you can remove outliers from your data. We explore a few traditional methods such as Z-score and IQR. In addition, we […]
Table formatting is an awesome feature in Excel that allows you to sort and treat a range of data as a whole table. However, it does add some complications when you are trying to preform certain actions in Excel. So in this tutorial I am going to show you how to remove table formatting in […]
When working with huge datasets, it is often helpful to review the first few rows of the data rapidly in order to get a concept of what the data looks like. There are three straightforward ways available in Pandas for accomplishing this goal: the head approach, slicing, and indexing. In this article, we will discuss […]
CLV is a crucial measure for firms to comprehend in order to maximize their marketing and sales activities. CLV is a forecast of the net profit attributable to a customer’s entire future relationship. This article will explain how to compute CLV in Python. Let’s take a look at the formula to get your mind in […]
Facebook made FB Prophet, a library for Python and R that lets you make predictions based on time series. There are a lot benefits of using this model and some negative aspects to using this model. So lets explore the pros and cons. Also we will also go through the basic coding of the model. […]
Yes, rotating the text in our label and axis adds a bit of style. However, when creating a graph or chart in Excel, the orientation of the labels on the x-axis can be crucial to the readability and overall effectiveness of the data visualization. In some cases, the default orientation of the labels may be […]
One of the greatest ways to learn and practice your analysis is using a real-world dataset. However, there is a time when its better to create your own dataset. In this case, you can specify some of parameters that fit your desires. We can use the Faker library to create a dataset in any language. […]