Even if you are not a developer or know how to code, you can still perform data analysis, have unified file formats, and make relevant data input in a formal report using primary database or data from different sources. Although raw data can take a considerable chunk of space on storage devices, you should not remove it or delete it once it has been processed.
Processing data implies that you are going to filter out information and remove you deem redundant, or put them in a different context. Having access to raw data allows you to trace back those decisions and ascertain whether original processing was done correctly. In other words, data processing and data analysis is also trial and error experience, so having access to a source data is a must. Wendy is a data-oriented marketing geek who loves to read detective fiction or try new baking recipes.
She writes articles on the latest industry updates or trends. Enter your email and get curated content straight to your inbox! Using Displayr What is What is Raw Data? Twitter Facebook LinkedIn Email.
Using Displayr. Boost your analysis with in-built Calculations 20 Aug by Andrew Kelly. How To Try the Displayr Data Visualisation tool. Prepare to watch, play, learn, make, and discover! This document only covers simple data structure, i. For more complex structures see. Once this data has been gathered, it can then be cleaned, transformed, summarized, and visualized. The whole point of gathering raw data is to eventually use it to gain a better understanding of some phenomena or use it to build some type of predictive model.
The following example illustrates how raw data might be collected and used in real life. One field in which raw data is often collected is sports. For example, raw data might be collected for various statistics for professional basketball players. Imagine that a basketball scout collects the following raw data for 10 players on a professional basketball team:. For example, we can spot several values in the dataset that need to be transformed or removed:.
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