Skip to content

komichar/samples

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

1 Commit
 
 
 
 
 
 

Repository files navigation

Node

Code examples are some of my work on Studies automation project.

Studies are target audience reports, and Sales representatives need to be able to quickly submit a StudyRequest and have the API/ETL produce the study with the right audience segment for their Client's next marketing campaign in a given country.

Sales people fill out an interactive form and they choose

  • Country in which they wanna find the audience Segment
  • Keywords (segment markers)
  • Assets - apps and domains which the audience segment has/visits

In order to run the study we need to make sure if the segment is feasible.

Feasibile audience segment means 2 things:

  • The segment is large enough (a couple of hundred thousand users in volume)
  • The segment is only a small percentage of the population of the given Country. The smaller the better. Small percentage means high discriminance.

Keywords

Goal: Implement autocomplete and return the shortest (partial) match.

Searching in some countries might return the same keyword but in multiple languages. Mapping is provided.

Assets

Goal: Implement fuzzy search, allowing partial matches and different word ordering. Sort by volume. Example: Typing instag should return Instagram and Boomerang for Instagram, since more people have Instagram than Boomerang app.

Assets - android apps or domains on which we have usage data. Volume - on how many devices is the asset present.

Categories

Studies are organized in Categories in 2 levels. They are needed to show the side menu.

React app

  • Study page dispatches the action to get the study by ID.

  • Study expects the tableau SDK to be present in the window, a requirement to load the study iframe.

  • Saga listens and orchestrates the API call.

  • Success action stores the study in redux store, and the Study page renders TrustedStudy component with the ticket.

  • TrustedStudy exchanges the ticket with tableau server, allowing the study to load in the iframe.

  • TrustedStudy might need to explore the study to find out its stories(parents) and points(children) to be able to draw the sidemenu and navigathe the study contents.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors