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reporting.qmd
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reporting.qmd
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---
title: "business_communication"
---
#resources
- https://www.ibcs.com/
# summary
- one of the areas that you will spend a lot of time on is on formatting of
business reports, presentations, graphs, axis, labels, etc
- one of the most powerful tools you can deploy is establish convention and
consistency in your reporting standards and conventions
- However the biggest challenge is getting everyone else to follow the
same standards / conventions and in defining the right standard and convention
- Did you define at a high enough level?
- Are you too accomodating of the all nauce / details/ exceptions which
creates an overly complex framework?
- Are you too high level which isn't reflecting the purpose of the
framework which is to simplify overall framewor
- While ultimately this can be overwhelming, below are some helpful suggestion
in how to approach consistency
- the added advantage of this approach is that it will make it easier
for you to create packages and functions to improve productivity
- Let us focus on three major aspects of business communication
- Graphs
- Reports
- Presentations
- Dimension that are helpful to be consistent across is
- aes()
- colors (both outline and fill)
- shapes
- text / labels
- units
- text (title, font, capitalization, etc)
- time periods
- values
- values (positive/negative)
- Other
- highlights / focus areas
- aggregated vs. individual values
- reference points
# Graphs
- At the beginning of your report I strongly recommend defining your key
legends, abbreviations
- You can consider defining your color scheme upfront and giving assigned
labels and data dictionary for how the work will be completed
## Convenions
- Title Concept
- title=Take away message (what is the key message you want the user
to understand)
- subtitle= What is it (dimension, units) and timeframe
- plot label=sample size (how many observations are include and
mention of missing vs. excluded data
- Title and Structure
- Scenario notation
- patterns (solid, fill, checkered)
- colors
- font style
- Absolute vs. relative variance
- Proper scaling
- missing data and data size