Has workedwith bothWHO andUNICEFdata teamsUsesPython, R, orSQL for dataanalysisWorksdirectlywith statedata teamsHaspresented atthe NEOCmeetingIs attendingtheir firstPolio DataRetreatJoined thePolioprogrambefore 2020HasanalyzedREDOdataIs involved inthedevelopmentof the PolioData PortalHasfacilitated atraining orworkshopbeforeOwnsmore thanone flashdriveHas trainedothers ondata tools orvisualizationHas built adashboardHas dancedat a workretreat ordinnerHas workedin more than3 NigerianstatesDrinksmore teathancoffeeWas partof the IEVrolloutEnjoys teambonding orsocialactivitiesHaspresenteddata to theIncidentManager (IM)Has resolvedNon-complianceduringsupervisionHascollaboratedwith GRID3mappingLovestravelingto fieldlocationsHas helpeda colleaguemeet a datadeadlineHas auniquenicknameat workHasvalidatedsettlementsin Zamfara &KanoHas workedwith bothWHO andUNICEFdata teamsUsesPython, R, orSQL for dataanalysisWorksdirectlywith statedata teamsHaspresented atthe NEOCmeetingIs attendingtheir firstPolio DataRetreatJoined thePolioprogrambefore 2020HasanalyzedREDOdataIs involved inthedevelopmentof the PolioData PortalHasfacilitated atraining orworkshopbeforeOwnsmore thanone flashdriveHas trainedothers ondata tools orvisualizationHas built adashboardHas dancedat a workretreat ordinnerHas workedin more than3 NigerianstatesDrinksmore teathancoffeeWas partof the IEVrolloutEnjoys teambonding orsocialactivitiesHaspresenteddata to theIncidentManager (IM)Has resolvedNon-complianceduringsupervisionHascollaboratedwith GRID3mappingLovestravelingto fieldlocationsHas helpeda colleaguemeet a datadeadlineHas auniquenicknameat workHasvalidatedsettlementsin Zamfara &Kano

Data Team Bingo - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. Has worked with both WHO and UNICEF data teams
  2. Uses Python, R, or SQL for data analysis
  3. Works directly with state data teams
  4. Has presented at the NEOC meeting
  5. Is attending their first Polio Data Retreat
  6. Joined the Polio program before 2020
  7. Has analyzed REDO data
  8. Is involved in the development of the Polio Data Portal
  9. Has facilitated a training or workshop before
  10. Owns more than one flash drive
  11. Has trained others on data tools or visualization
  12. Has built a dashboard
  13. Has danced at a work retreat or dinner
  14. Has worked in more than 3 Nigerian states
  15. Drinks more tea than coffee
  16. Was part of the IEV rollout
  17. Enjoys team bonding or social activities
  18. Has presented data to the Incident Manager (IM)
  19. Has resolved Non-compliance during supervision
  20. Has collaborated with GRID3 mapping
  21. Loves traveling to field locations
  22. Has helped a colleague meet a data deadline
  23. Has a unique nickname at work
  24. Has validated settlements in Zamfara & Kano