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2DegreesInvesting / tiltPlot

Plots for the TILT project
https://2degreesinvesting.github.io/tiltPlot/
GNU General Public License v3.0
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Make nice headings for Map and Staggered plot, without financial data #88

Closed AnneSchoenauer closed 10 hours ago

AnneSchoenauer commented 5 months ago

Hi Linda - let's sit down together and create good headings for each of the plots. Once everything is pushed I will go through the plots and come up with good headings! Thanks a lot. Best Anne

lindadelacombaz commented 2 months ago

@AnneSchoenauer, this it the ticket to make the nice headings and x, y labels for the plots, namely:

  1. Map without financial data for the transition, sector and emission profile
  2. Bar charts without financial data, for the transition, sector and emission profile
AnneSchoenauer commented 1 month ago

This is a suggestion and needs to be validated and reviewed by @Tilmon before we implement it!

For the bar plot for single companies

image

Heading: "Emission Profile / Sector Profile / Transition Risk Score" for all products of company [name of the company] with the "equal weight/ best case /worst case" assumption x-Axis: "grouping categories" y-Axis: Percentage share in (%) Legend: "Emission Profile/ Sector Profile / Transition Risk Score", green = low, yellow = medium, red = high

image

Heading: "Emission Profile / Sector Profile / Transition Risk Score" for all products on portfolio level with the "equal weight/ best case /worst case" assumption x-Axis: "grouping categories" y-Axis: Percentage share in (%) Legend: "Emission Profile/ Sector Profile / Transition Risk Score", green = low, yellow = medium, red = high

image

Heading: "Emission Profile / Sector Profile / Transition Risk Score" per region with the "equal weight/ best case /worst case" assumption Legend: ? @lindadelacombaz could you show me the legends here first so that I know how to call them?

lindadelacombaz commented 1 month ago

@AnneSchoenauer, yes the legend here is "German map of high, medium and low proportions of the companies that are found in one region. © EuroGeographics for the administrative boundaries"

AnneSchoenauer commented 1 month ago

@lindadelacombaz I mean what does red, yellow and green mean - and if I recall correctly we have also mixed colours possible correct?

lindadelacombaz commented 1 month ago

@AnneSchoenauer yes, exactly. The panel goes from green to red, with different in-between colors possible, that depend on the proportions of the companies that are found in the region that are categorized as high, medium or low.

For example, (in one region) red means that 100% of the companies found in the region are categorized in "high" risk category. orange means that 100% of the companies are categorized in the "medium" risk category, same logic for green. A less bright red would mean that for example 80% of the companies are in the "high" category, while 20% are in the medium category, resulting in 0.8 red_color_code + 0.2 medium_color_code = "orange-red" color.

Tilmon commented 1 month ago

Dear @AnneSchoenauer and @lindadelacombaz, re

This is a suggestion and needs to be validated and reviewed by @Tilmon before we implement it!

Title suggestions sound great! Two small comments:

  1. You confused x- and y-axis I think. I.e., Y-Axis should be "grouping categories" and X-Axis "Percentage share..."
  2. X-Axis "Percentage share in %" is not completely adequate because right now the X-Axis values are 0-1, not 0-100, i.e. it's not in % but expressed as decimal already. Hence, I'd either say sth like "Share of low/medium/high" or change the values on X-axis to 0-100 so that they actually express %-values.

Hope that helps!

lindadelacombaz commented 1 month ago

Here is the google Sheet that you can add the headings to @AnneSchoenauer : https://docs.google.com/spreadsheets/d/196QiqKPspuCntnGzHscA-BwLhuyfYurffPYu2Ftw2tQ/edit#gid=0