Introduction The first step when creating a Power BI report is to connect with data sources. Power BI can connect to a wide range of data sources. This capability allows users to access and analyze data from various sources within Power BI. One important format to often deal with is...
Introduction Traditional RNNs, limited by their simplistic structure, have problems retaining information over longer time periods, leading to the infamous vanishing gradient problem. Long Short-Term Memory (LSTM) Networks have the impressive ability to capture and preserve long-term dependencies in sequential data. But how is an LSTM able to do this?...
Introduction Data manipulation tasks often involve converting column data types to ensure consistency and accuracy in analysis. In this tutorial, we will show you how to change column types of a Pandas DataFrame. In order to do this, we will use the astype() method, the map() method and the to_...
Introduction Environment variables are used for securely storing and accessing sensitive data, facilitating seamless configuration management across different environments. In this tutorial, we will explore how to work with environment variables in Python. In order to do this, we will use the Python libraries os and python-dotenv. What is an...
Introduction Power BI offers with the Power Query Editor a powerful tool for cleaning and transforming data. One important part of data preparation is splitting columns. Sometimes a column may contain a lot of information. In such cases, it can be difficult to analyze and visualize the data. To get...
Introduction Power BI offers with the Power Query Editor a powerful tool for cleaning and transforming data. One important part of data preparation is filtering your data. Filtering enables you to sort out irrelevant data and to reduce the amount of data. One important type of filtering is custom filtering....
Introduction Data manipulation tasks often involve converting column data types to ensure consistency and accuracy in analysis. In this tutorial, we will show you how to change column types of a PySpark DataFrame. In order to do this, we will use the cast() function of PySpark. Import Libraries First, we...
Introduction Window functions in PySpark are a powerful feature for data manipulation and analysis. They allow you to perform complex calculations on subsets of data within a DataFrame, without the need for expensive joins or subqueries. In this tutorial, we will show you how to use window functions in PySpark....
Introduction Power BI comes with the powerful formula language Data Analysis Expression (DAX) which allows the implementation of custom calculations. There are numerous operators and functions available in DAX. One essential DAX function is the SWITCH function. The SWITCH function provides an elegant way to handle multiple conditions and is...
