Data Wrangling with MongoDB (Lesson 3 Data Quality)

Yang Wang
Yang Wang
Jul 25, 2017 · 1 min read

Study notes and mind-map for the free course of Data Wrangling with MongoDB in Udacity

In lesson 3, we are going to look at a blueprint for auditing our data to access its quality, and we’ll look at a number of different quality measures. We’ll also look at ways of cleaning our data to correct any problem with it. This is the process that it’s very situation specific. But even so, we can identify a number of rules of thumb and best practices that apply in a variety of different contexts.

Mind-map

Since there are more conceptual ideas than coding involved in this lesson, I put all the key points in the mind-map.

As always, feel free to like and repost if you learned some from this post. And please don’t feel any hesitation to ask question and give advice. Enjoy self-learning and have fun! Next time, we will talk about working with MongoDB.

Yang Wang

Written by

Yang Wang

Data Enthusiast, Life-long Leaner, Love everything beautiful

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