Filter Module

Overview

Why is filtering needed?
Data Filtering can help you eliminate unnecessary data, remove observations that may contain errors or are undesirable for analysis.

Filtering help provide answers in an organized and structured way, by enabling users to apply a set of values and narrow the results.

Filters are necessary to increase user interactivity with their data outside of surface-level, 'at-a-glance' analysis.

Students will learn:
1. How to extract data of interest from larger datasets
2. How to identify data needed for a specific task.
3. How to demonstrate filtering techniques.

Key Concepts

Apply
  1. Remove duplicate data
  2. Remove data unrelated to the question to be answered
  3. Provide a description of the filtered data (what remains)

Evaluate
  1. Do you have enough data to answer your question(s)?
  2. If you do not, what is your next step?
  3. Do you have the right data to answer the question?
  4. If you do not, what is your next step?

Practice Quiz

Instructions
Choose an answer and hit 'Next Question'. You will receive your score and answers at the end of the quiz.
Download Quiz
Click on "Download" to save a copy of the practice quiz.

Worksheet

Practice the module by completing the worksheet and revise what you learnt.



Self Assessment

Complete this assessment to demonstrate your current knowledge of the Filter stage:

Prerequisites: Make sure to finish the following tasks before working on this assessment.



Review

Horizonal assessment of the filter stage across the data visualization process mapped to Bloom’s Taxonomy of Hierarchical Learning

What you should know:

Bloom’s Taxonomy Hierarchy You should know
Remember This step involves filtering the data to remove portions not relevant to the current problem.
Understand Basic techniques for filtering data.
Apply How to apply various filtering techniques.
Evaluate The filtered subset of the data. Is it enough or the right data to answer the question?
Analysis The filtered data, is it in the correct format?
Create Plan, generate, and produce a subset of the data (filterd) for the specific question/problem to be solved.


What you should be able to do:

Bloom’s Taxonomy Hierarchy You should be able to do
Remember Describe what happens in the filter stage
Understand Describe what stages are impacted by the filter stage.
Apply Implement procedure(s) to extract data.
Evaluate Evaluate the filtered data as to its relevance to the question/problem being solved.
Analysis Evaluate if only the data of interest to the question/problem was extracted.
Create Generate a filtered dataset specific for the problem/question.


You are here:
  • Acquire
  • Parse
  • Mine
  • Sketching & Ideation
  • Filter
  • Represent
  • Critique
  • Refine
  • Interact