Tweet

iReuby

Aug 18 • 6 tweets • 2 min read

Hello Data Analyst,

Let’s talk about #dashboards.

They assist you to share insights effectively to guide decision makers.

If done with care, they are visually appealing & tell insightful stories about the data.

10 things you should bear in mind when designing a dashboard...

1. Design for a target. Who will use the dashboard? What are their needs? Do the insights in the dashboard address the needs?

2.Pick the right charts.

See my previous tweet on visualization.

https://twitter.com/Magnanimo_s/status/1558438891807555587?s=20&t=kIr7h9k_7fzKova8IbLS7A

3. Keep it simple. How easy is it to access key insights? Leave out the noise.

4. Keep everything at a glance. Don’t overcrowd the dashboard. Enhance accessibility.

5. Show important context – Filters, tooltips, chart titles, descriptions etc.

6. Align elements. Take care to align your charts, bookmarks, shapes and other elements so it is visually appealing.

7. Highlight the most important/relevant information. Make it easy for the end user to spot key insights. Tell important stories using your highlights.

8. Choose the right colours. Does it reflect the brand? Does it tell the right story? Does it enhance understanding?

Get colour palettes ideas on coolors.co/palettes/trend…

9.Shorten numbers. E.g. 1,322,222.23457 can be 1.3M.

10. Format properly and be consistent – colours, font style and size, alignments, data labels, remove axis titles when not adding extra value, etc.

Feel free to add more guidelines for young data analysts starting out with dashboard designs.

🥂

#DataVisualization #Dashboards

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More from @Magnanimo_s

iReuby

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Aug 16

Hello Data/Business Analyst,

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Besides following a clear change management process, developing mental agility will boost your efficiency and overall productivity.

What is mental agility?

Mental agility is the ability to think and apply insights quickly from one context to another.

In simpler terms, it is how well your mind can quickly adjust to new conditions/ideas.

Thankfully, your mental agility can be improved.

Use these 5 simple ways to get started.

1. Be curious. Ask “Why” & “What If”.
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Hello Data Analyst,

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iReuby

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Aug 13

Hello Data Analyst,

Let’s talk about visualization.

Your visuals should convey messages to users in an effective & efficient way.

Try to strike a balance btw creating a beautiful visual & having an informative visual.

Thread contains recommendations 4 some use cases.

1/17

1. Changes over time. E.g. Last month, you entered a supermarket and saw someone screaming “God abeg” and you ask your data analyst friend… “What was Nigeria’s headline inflation from Jan – Jun 2022?”

Need: To display changing TREND of measures (prices).

2/17

Changes over time (contd.)

Recommendations: Line chart (my favourite), Area chart, Sparkline by OKViz, Card with States by OKViz, you could also try a combination of column chart and line chart if you have different sets of values.

3/17

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iReuby

@Magnanimo_s

Aug 12

Hello Data Analyst,

Are you aware of the 5 types of analytics?

In the order of increasing difficulty & value:

1. Descriptive Analytics: Answers questions about what has happened. E.g. Man Utd lost to Brighton last weekend. The match ended 1-2 in favour of Brighton.

1/5

2. Diagnostic Analytics: Helps answer questions about why things happened. E.g. Man Utd lost the game because the players made mistakes on the ball & organisation mistakes in defending.

2/5

3. Predictive analytics: Helps answer questions about what will happen in the future. E.g. Despite the first loss, current issues in the dressing room & with the quality of players and coaching, Man Utd will finish top 4 in this season’s EPL.

3/5

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iReuby

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