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A dimension is a qualitative or categorical attribute used to categorize, group, or segment data. Dimensions provide context and describe the characteristics of the data, allowing for the organization and interpretation of information. They represent discrete, non-numeric data points and are often used for grouping, filtering, and organizing data for analysis and visualization purposes. Dimensions help answer questions like "how" or "what" and are typically displayed on the r

What are Aggregations? Aggregations are at the core of Tableau's data manipulation capabilities. They refer to the process of summarizing or condensing data to a higher-level view, making it easier to analyze and visualize. Aggregations are essential for performing tasks such as calculating totals, averages, counts, and more on your dataset. Aggregation Functions in Tableau In this section, we'll explore common aggregation functions available in Tableau, including SUM, AVG, C

Adrian, you are incredibly active in the Tableau Community Forums - earning over 125,000 points to date - what is the secret to your success? Thank you for recognizing my contributions to the Tableau Community Forums. I believe the secret to my success is a combination of my passion for data visualization and my commitment to helping others. By answering questions and sharing my knowledge, I am able to not only assist others in their Tableau journey, but also continue to lear

In the heart of Toronto, where the city's energy never waned, lived Michael, a talented Tableau Developer. He navigated the bustling streets and crowded subway cars on his way to work, fueled by a strong cup of Tim Hortons coffee. Arriving at his office in the Financial District, Michael was greeted by a breathtaking view of the city skyline from his corner cubicle. The day ahead promised to be just as dynamic as the city itself. His morning began with a team meeting, where t

Notebook Kaggle Data Science is the most wished and wanted profession in 2019. For the past few years most of the specialists like Data Analysts, BI developers, Statisticians, Mathematicians, Technical Engineers are pursuing new profession and learning hard Data Science and Machine Learning. One of the best battlefield for learning and practicing DS and ML is KAGGLE, an easy to use platform with web-based environment.  Data Scientist is the new migration profession. Professio

For Makeover Monday Week 11, challenge was to build re-build the visualisation on data provided for World’s Biggest Cash Crop. The data was beautifully re-visualised by Adrian Zinovei, checkout the visualisation here. Follow the blog below, where he illustrates on how he came up with the visualisation. The most important process is the design and building of one tree like graph which will allow us to show a representation of each group of crops. Cash Crop Visualisation Before

Kaggle Notebook This was a project where initial part of the notebook was a Tableau dashboard and the rest was done in Python and visual charts in Plotly. The whole analysis is around Kaggle Users Survey data about professions, learning and what. Please visit this Kaggle notebook for more information and even copy/edit the code. Here is a nice 3D analyisi of the users quantity by Salary and Age by Country.