Gaelim Holland
Gaelim Holland
How to Analyze Data | Step-by-Step Guide
The hardest part of data analysis is sometimes knowing how or what to analyze. This a make or break skill for any data analyst. However, it can be challenging to know where to start and how to ensure you’re making the right conclusions. In this blog post, we will guide you through the six steps […]
SQL Queries for Data Analyst
As a data analyst or data scientist, knowing the right SQL queries can help you get the data you need from your database tables quickly and easily. Whether you’re a new user or a pro, you need to know how to use the basic SQL queries to analyze and change data. In this blog post, […]
Tableau Interview Questions : How to Pass a Tableau Developer Interview
There is no way to really know what questions you will be asked at an interview for a Tableau developer job. However, you do need to master some the concepts so that you inherently posses the flexibly to answer whatever the interviewer happens to throw at you. In this comprehensive post, you are going to […]
List Comprehension in Python
What is list Comprehension? This is a method in Python that It allows you to create a new list by transforming and filtering elements from an existing list. The beauty of this is its done in a single line of code. We can use a list and the word iterable interchanged due to a list […]
Bypass Excel Row Limit and Analyze 1M+ Rows
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 […]
How to Use XLOOKUP
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 […]
Calculate Percent in Pandas Pivot Table
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 […]
How to Find Outliers in Python
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 […]
Remove Table Formatting in Excel
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 […]
How to View the First N Rows in a Pandas Data Frame
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 […]