Personal Career & Learning Guide for Data Analyst, Data Engineer and Data Scientist
QlikView is a data analytics tool used by data analysts to visualize and analyze data. It helps in making data-driven decisions by providing interactive dashboards, reports, and charts. One of the most important features of QlikView is the “Rank Function.” This function is used to rank data based on certain criteria.
The Rank Function is a way to arrange data in a particular order, for example, in ascending or descending order. This can help data analysts see trends and patterns in the data, and make informed decisions based on the results. The rank function allows users to quickly sort data based on specific columns, or a combination of columns.
For example, if a data analyst wanted to see which salesperson has the most sales, they can use the Rank Function to rank the sales data based on the total sales of each salesperson. This will give them a clear understanding of the top performers and help them make decisions on how to allocate resources to maximize sales.
Another example is if a data analyst wanted to see which product has the most sales, they can use the Rank Function to rank the sales data based on the total sales of each product. This will give them a clear understanding of the most popular products and help them make decisions on how to allocate resources to improve sales.
It is important to note that the Rank Function can be used in conjunction with other functions in QlikView, such as the Sum, Count, and Average functions. This allows data analysts to get a more in-depth understanding of the data and make informed decisions based on the results.
In conclusion, the Rank Function is a valuable tool for data analysts using QlikView. It provides a quick and easy way to rank data based on specific criteria, and helps data analysts make informed decisions based on the results. Whether you’re analyzing sales data or product data, the Rank Function can provide valuable insights into your data, and help you make data-driven decisions.
QlikView for Data Analyst – QlikView – Rank Function
Loading...
Reload document 
Open in new tab Latest end-to-end Learn by Coding Projects (Jupyter Notebooks) in Python and R:
All Notebooks in One Bundle: Data Science Recipes and Examples in Python & R.
End-to-End Python Machine Learning Recipes & Examples.
End-to-End R Machine Learning Recipes & Examples.
Applied Statistics with R for Beginners and Business Professionals
Data Science and Machine Learning Projects in Python: Tabular Data Analytics
Data Science and Machine Learning Projects in R: Tabular Data Analytics
Python Machine Learning & Data Science Recipes: Learn by Coding
R Machine Learning & Data Science Recipes: Learn by Coding
Comparing Different Machine Learning Algorithms in Python for Classification (FREE)
There are 2000+ End-to-End Python & R Notebooks are available to build Professional Portfolio as a Data Scientist and/or Machine Learning Specialist. All Notebooks are only $29.95. We would like to request you to have a look at the website for FREE the end-to-end notebooks, and then decide whether you would like to purchase or not.