Introduction Power BI offers with the Power Query Editor a powerful tool for cleaning and transforming data. One important part of data preparation is adding an Index Column. For organizing and structuring your data it is crucial that every row is uniquely identified by an ID. An Index Column enables...
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 type of DAX functions are aggregation functions. These functions are essential for data analysis, especially when it comes to...
Introduction As projects grow in size and complexity, it becomes increasingly important to ensure that code remains understandable and easy to work with. One powerful tool for achieving this is the use of type hints. In this tutorial, we will explain why and how to use type hints in Python....
Introduction Autoencoders, a cornerstone of unsupervised learning, have emerged as a powerful tool in the domain of artificial intelligence. By compressing and then reconstructing input data, these neural networks uncover meaningful representations, paving the way for applications ranging from image denoising to anomaly detection. In this tutorial we want to...
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...
