Final Exam: Data Visualization for Web Apps Using Python

WHAT YOU WILL LEARN

• 

  Create custom figure-level and axis-level strip plots
  

  verify the correct python version is installed on your system, run jupyter notebook, and install altair
  

  use the pip package installer to install dash
  

  create histograms for univariate data
  

  customize histograms using the distplot() function
  

  create a basic bar chart with altair
  

  compare and contrast date inputs using date pickers
  

  produce world maps using data in the topo json format and plot points on the map by specifying the latitude and longitude coordinates
  

  customize various aspects of a chart such as the axis ticks, legend, and title using various functions such as configure_title() and configure_legend()
  

  visualize bivariate histograms and kde curves
  

  apply logistic regressions to categorical data
  

  use basic dropdowns to select values
  

  compare and contrast date inputs using date pickers and strings
  

  create boolean toggle switches
  

  install the necessary python modules to work with seaborn
  

  select values using basic dropdowns
  

  create a user input form with validation
  

  create univariate kde curves and cumulative distributions
  

  use the distplot() function for customizing histograms
  

  represent bivariate visualizations with color coding and grouped charts
  

  implement bar charts, kde curves, and rug plots
  

  identify attributes of a strip plot
  

  create a map of the united states and plot state-specific information using markers and choropleth maps
  

  implement figure-level and axis-level scatter plots
  

  produce gantt charts
  

  produce world maps using data in the topo json format
  

  enhance bar charts by adding rules representing the mean or median of a distribution, conditional formatting, and creating stacked bar charts
  

  visualize data using line charts and customize various aspects of the chart such as the interpolation and by adding rules to the chart
  

  compare and contrast date inputs using strings and date pickers
  

  create figure-level and axis-level kde curves
• 

  create an html button to embed in apps
  

  create a dash app
  

  create a gauge updated using a spin button
  

  define gauge properties
  

  execute operations on time series data
  

  perform operations on time series data
  

  contrast swarm plots and strip plots
  

  contrast strip plots and swarm plots
  

  visualize time series data using figure-level and axis-level line charts
  

  remove limits on dataset size set by altair
  

  generate a variety of box plots such as plain box plots, box plots with categorical color bars, and box plots with continuous color bars
  

  remove limits on dataset size set by altair by default
  

  create various customized area charts
  

  produce basic bar charts such as bar charts with labels and bar charts with the bars sorted in an ascending or descending order
  

  visualize data and identify the relationships between variables using scatter plots
  

  create various customized area charts such as area charts with multiple categories, streamgraphs, and trellis area charts
  

  visualize data and identify the relationships between variables using scatter plots and create a scatter plot where the color of the data points represent a variable
  

  generate heat maps to visualize data in the form of a grid
  

  produce gantt charts to visualize activities, tasks, or events against time
  

  customize various aspects of a chart such as the axis ticks, legend, and title using various functions
  

  create a callback to add interactivity to charts
  

  customize callbacks for more complex interactivity
  

  install dash using the pip package installer
  

  illustrate some of the interactive features in line charts
  

  create an ordinary bar chart using the plotly express library
  

  visualize data using grouped bar charts and stacked bar charts
  

  accept user input using dash components
  

  perform operations based on user input
  

  configure a multi-tab dash application
  

  customize dropdowns using multi-select