Data Visualization Flashcards
Why is data visualization important?
It helps in rapidly processing complex data, effectively communicating information, revealing trends and patterns, and creating a data-driven narrative.
What is data visualization?
Data visualization is the practice of presenting data through visual representations,
combining creative and scientific factors.
What are some commonly used data visualization tools?
Excel, Tableau, Power BI, Looker, Python (Matplotlib, Seaborn, Plotly), and R (ggplot2).
What are some of the limitations of data visualization?
Limited Scope, Data Quality and Mis-interpretation.
What is a pie chart used for?
It represents part-to-whole relationships with limited categories, ideal for showing market share distribution.
What is the best practice when creating a pie chart?
Limit it to 5-7 categories to maintain clarity.
How does a bar chart differ from a histogram?
A bar chart compares discrete categories, while a histogram groups continuous data into bins.
What is a heat map used for?
It uses color-coded matrices to show data density or intensity, useful for identifying patterns in large datasets.
What is a pictogram chart, and when is it useful?
A pictogram chart uses icons to represent data quantities, making it engaging for presentations with small distinct categories.
What is a word cloud, and when should it be used?
A word cloud represents word frequency visually, useful for text analysis in customer feedback.
What are best practices for creating a scatter plot?
Label axes, use trend lines to illustrate correlations.
Which data visualization technique is best for comparing monthly sales by product line?
A bar chart.
