data analysis

perfect. You’re going to come across plenty of data inconsistencies. Nulls, negative values, string inconsistencies, etc. If these aren’t handled early in your data evaluation workflow, querying and analysing your data could be...

Introduction about Time Intelligence in DAX up to now. Nonetheless, the brand new Calendar-based Time Intelligence feature rewrites the rulebook, as some concepts will change, and the required techniques will likely be simpler than before. Anyway,...

If with Python for data, you may have probably experienced the frustration of waiting minutes for a Pandas operation to complete. At first, the whole lot seems high quality, but as your dataset grows...

attract all of the hype today inside data science, but I’d argue they’re each secondary to a more vital—and often-ignored—section of the sector. When coping with data, there are two essential steps: Processing and analyzing...

, I discovered myself wondering why some dashboards immediately grabbed my attention, while others just felt flat. A giant a part of that magic is color. As basic because it sounds, it plays a...

Data is all over the place, but how do you draw insights from it? Often, structured data is stored in , meaning collections of related tables of knowledge. For example, an organization might store...

The aim of this text to offer the reply to the query: “Which one is ‘higher’ — Import or Direct Lake?” since it’s unattainable to reply, as there is no such thing...

learning data evaluation, I used to be overly obsessive about the tools and the glamor that may include the title of being an information analyst. My internship began, and I had one goal in...