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Red Balls of Fire
Bernard Kilonzo

Bernard Kilonzo

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Lead Analytics Consultant

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Join date: Dec 13, 2019

Bernard is a senior data analytics consultant based in Kenya with expertise in data analytics and visualization using Tableau, Power BI, and Shiny.

Bernard runs a remote-first data analytics and visualization consultancy firm Rigor Data Solutions. He spends much of his time helping clients design, develop, and deploy solutions that extract valuable insights. He has extensive experience in data analytics consulting, where he has successfully developed solutions for clients such as UNFPA, Social Impact, Day for Girls International, Evidence Action etc. Bernard is a 3X Tableau certified expert and has an undergraduate degree in Mathematics from Egerton University.

Outside work, Bernard loves watching medieval series, enjoys adventure travel, and orchard farming.


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Related Reading (363)

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Adding Error Bars in Tableau Reports
What are Error Bars? Error bars are visual markers on a chart that show the uncertainty or variability around a measured value, extending above and below a data point to indicate the range within which the true value might fall. They often represent standard deviation, standard error, or confidence intervals, and interpreting them involves looking at both their length and overlap: longer bars signal greater variability or lower precision, while shorter bars suggest more reliable estimates....

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Mar 25, 20262 min
Dynamic Top N Report with Tableau
Overview A dynamic Top N report is a flexible, user‑driven way to highlight the highest‑performing items - such as top customers, products, regions, or indicators - based on a parameter that lets viewers choose how many items to display. Instead of hard‑coding a fixed number, you create a parameter for N, build a calculated field that ranks your dimension using functions like RANK() or INDEX(), and then filter (or highlight) the view so only items with a rank less than or equal to the...

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Mar 21, 20262 min
Guide to Cluster Analysis in Tableau
Overview Cluster analysis has become an essential technique for analysts who want to move beyond descriptive charts and uncover deeper structure in their datasets. Whether you’re segmenting customers, grouping facilities with similar performance, or exploring demographic patterns, clustering helps you see relationships that aren’t obvious in raw tables or standard visualizations. Tableau brings this capability directly into the visual analytics workflow through an intuitive drag‑and‑drop...

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