UsesPython, R, orSQL for dataanalysisLovestravelingto fieldlocationsHas auniquenicknameat workHaspresented atthe NEOCMeetingOwnsmore thanone flashdriveHas resolvedNon-complianceduringsupervisionJoined thePolioprogrambefore 2020Worksdirectlywith statedata teamsHas built adashboardHasfacilitated atraining orworkshopbeforeHasanalyzedREDOdataEnjoys teambonding orsocialactivitiesIs directlyinvolved in thedevelopmentof the PolioData PortalHascollaboratedwith GRID3on mappingDrinksmore teathancoffeeIs attendingtheir firstPolio DataRetreatHas helpeda colleaguemeet a datadeadlineHasvalidatedsettlementsin Zamfara &KanoWas partof the IEVrolloutHas trainedothers ondata tools orvisualizationHas workedwith bothWHO andUNICEFdata teamsHas dancedat a workretreat ordinnerHas workedin more than3 NigerianstatesHaspresenteddata to theIncidentManager (IM)UsesPython, R, orSQL for dataanalysisLovestravelingto fieldlocationsHas auniquenicknameat workHaspresented atthe NEOCMeetingOwnsmore thanone flashdriveHas resolvedNon-complianceduringsupervisionJoined thePolioprogrambefore 2020Worksdirectlywith statedata teamsHas built adashboardHasfacilitated atraining orworkshopbeforeHasanalyzedREDOdataEnjoys teambonding orsocialactivitiesIs directlyinvolved in thedevelopmentof the PolioData PortalHascollaboratedwith GRID3on mappingDrinksmore teathancoffeeIs attendingtheir firstPolio DataRetreatHas helpeda colleaguemeet a datadeadlineHasvalidatedsettlementsin Zamfara &KanoWas partof the IEVrolloutHas trainedothers ondata tools orvisualizationHas workedwith bothWHO andUNICEFdata teamsHas dancedat a workretreat ordinnerHas workedin more than3 NigerianstatesHaspresenteddata to theIncidentManager (IM)

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