Sketchnotes: Lessons + Roadmap about data-science-for-beginners HOT 5 CLOSED

Sketchnote request for Data Vis 1:

Visualizing Quantities: the dataset is about birds of Minnesota

• use Matplotlib to build a line plot about wingspan values
• identify and remove data outliers
• use a scatterplot to identify the number of birds with given wingspans in centimeters
• use a bar chart to group birds into categories
• compare the lengths of birds according to their category
• superimpose data in a bar chart to show minimum and maximum bird length according to their category

from data-science-for-beginners.

Sketchnote request for Data Vis 2:

Visualizing Distributions: the dataset is also about birds of Minnesota

• work with histograms to show distributions of birds' body mass
• manage 'bins' parameter to show different views of the dataset distributions using filtered data
• create a 2D histogram of numeric data to show convergences between distributions of numeric data
• build a histogram using text data to show distributions of birds according to their conservation status
• work with density plots to show distributions of single or multiple parameters, changing the plot's hue to display categories of birds
• try a kdeplot to map the density of several variables

from data-science-for-beginners.

Sketchnote request for Data Vis 3:

Visualizing Proportions: the dataset is about mushrooms

• Use a pie chart to show categories in your data
• Use a donut to show more information around your data, including percentages of a variable in the dataset
• Use a waffle chart with Pywaffle library to show the data proportions as a 2D array of color. Match your colors to the mushroom colors!

from data-science-for-beginners.

Sketchnote request for Data Vis 4:

Visualizing Relationships: the dataset is about honey production

• Use Seaborn library to create scatterplots to display the relationship between price and state of origin
• Experiment with colors to show meaningful hue changes to add information about the year when prices of honey rose, state by state
• Try showing price progression by altering the size of the points in a scatterplot
• Show the increase in honey prices year over year via a line chart
• Show the decrease in honey production year over year
• Try a facet grid to visualize many views of a variable, year over year
• Create a dual line plot to show the rise and fall of two variables along the y axis via a shared x axis

from data-science-for-beginners.

Sketchnote request for Data Vis 5:

Creating Meaningful Datavis

1. How to choose the right chart type
2. How to avoid deceptive charting
3. How to work with color
4. How to style your charts for readability
5. How to build animated or 3D charting solutions
6. How to build a creative visualization

from data-science-for-beginners.