Data Visualisation & Analytics
Create readable charts and dashboards by matching the visual form to the analytical question and the audience.
Areas of assistance
Create readable charts and dashboards by matching the visual form to the analytical question and the audience. Share the question, anonymised data dictionary and intended audience.
Topics we can explore
- Statistical visualisation
- Tableau
- Power BI
- Excel statistics
- Exploratory analysis
- Accessible charts
Typical learning or professional deliverables
- Chart critique
- Dashboard structure
- Measure and label review
Deliverables depend on the agreed scope. Academic work remains your own; engineering and financial guidance does not replace qualified professional approval.
Explore a reference example.
import pandas as pd
import matplotlib.pyplot as plt
# Turn data into understanding
sales = pd.read_csv('sales.csv')
summary = sales.groupby('region')
.revenue.sum()
summary.plot(kind='bar')
Python Data Analysis
Code & data analysis
Financial Performance Dashboard
Dashboard & reporting
Questions about Data Visualisation & Analytics
Does an impressive chart prove a finding?
No. Sources, definitions, uncertainty and analytical assumptions matter as much as presentation.
What should I send with my enquiry?
Share the question, anonymised data dictionary and intended audience.
A challenge in mind?
Let’s work through it.
Share your goals. We’ll help you find a clear way forward.