Analysts can use a variety of techniques known as observational data analysis to begin decoding the messages in the data. The exploration method may result in significant data cleaning. Descriptive statistics ma
Imagine using the tables and spreadsheets to explain emerging patterns and other significant insights to your audience. How would they respond? Would you get buy-in after presenting the table to them?Data Storytelling The reason why we visualize data is to create data stories. Remember, poring ...
” have an advanced degree in statistics, or sit through hours of in-depth training modules tounderstand how to analyze data. Instead, we’ve put together this guide to help you master some basic data analysis skills – from cleaning data, choosing the right analysis tools, and...
The COUNTIFS function may have up to 255 arguments leaving you to compare up to 127 columns, however, if you have that many columns to compare perhaps a UDF (User defined function) is a better option. Array formulas are often quite slow dealing with lots of data. COUNTIFS(criteria_range1,...
Here we will walk through the basic steps you would need to follow to import a .csv file successfully into a PostgreSQL database. We will explain it using two different options: first, when you are already logged into the database and then call the file from inside a psql prompt; a...
Mastering data mining is like holding a crystal ball. It uses historical data to tell you what will happen in the future. Of course it will also tell you how confident this is. I will also explain the definition of confidence in a later article. ...
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In the next section, we’ll explain how you can achieve data quality and avoid these pitfalls. How to achieve good data quality The data quality pipeline Achieving data quality allows you to get the most out of any data you collect. It’s not a one-off project; data quality should be ...
An organization’s data assets might have rich metadata associated with them, but it needs to collate, analyze, and infer this metadata to derive value from it. This is the primary function of a data catalog. Along with automated metadata collection, a data cataloging tool also allows crowdsour...
Can you explain the role of reverse logistics in the service industry? In the service industry, reverse logistics helps address repairs more quickly. Best practices include refunds, warranty work and credit. Working out these policies keeps customers happy. ...