I learnt about DATA STORYTELLING.
 It is communicating the meaning of a dataset with visuals and a narrative that are customized for each particular audience. There are 3 data story steps.
 💠 Engage your audience 
 💠 Create compelling visuals
 💠Tell the story in an interesting narrative.
 SPOTLIGHTING is scanning through data to quickly identify the most important insights.
 DASHBOARDS is a tool that organizes information from multiple datasets into one central location for tracking, analysis and simple visualization through tables, charts and graphs.
 LIFE AND STATIC INSIGHTS
 To identify whether data is live or static depends on certain factors.
 - How old is the data?
 - How long untill the insights are stable or no longer valid to make 
 decisions
 - Does this data or analysis need updating on a regular basis to remain 
 valuable?
 
 ➡️ STATIC DATA: Involves providing screenshots or snapshots in presentations or building dashboards using snapshots of data. There are PROS 
and CONS to Static data.
 ⭕ PROS 
 - Can tightly control a point-in-time narrative of the data and insights. 
 - Allows for complex analysis to be explained in depth to a large audience 
 ⭕ CONS
 - Insights immediately begins to lose value and continues to do so the l
 longer the data remains in a static state 
 - Snapshots cant keep up with the pace of data change
 ➡️ LIVE DATA: Means that you can build dashboards, reports and views 
 connected to automatically updated data. 
 ⭕ PROS 
 - Dashboards can be built to be more dynamic and scalable
 - Gives the most up to date data to the people who need it at the time
 when they need it
 - Allows for up-to-date curated views into data with the ability to build a
 scalable " single source of truth" for various use cases
 - Allows for immediate action to be taken on data that changes 
 frequently 
 - Alleviates time/resources soent on processes for every analysis
 ⭕ CONS
 - Can take engineering resources to keep pipelines lives and scalable
 which may be outside the scope of some companies data resources
 allocation
 - Without the ability to interpret data you can lose control of the
 narrative, which can cause data chaos (ie teams coming to conflicting
 conclusions based on the same data)
 - Can potentially cause a lack of trust if the data isnt handled properly
I also learnt about how to SHARE DATA which is all about DATA PRESENTATION or SLIDE PRESENTATION.
 When exploring a slide presentation, use your knowledge of effective 
 presentation practices to evaluate it. This includes REVIEWING YOUR OWN 
 WORK. When checing over slide presentations there are some best
 practices you can check for.
 💠Include title, subtitle, and date. Making sure that your deck presentation 
 has a title, subtitle and date makes sure that your audience knows 
 exactly what you are presenting and when the information was from.
 💠Use a logical sequence of slides
 💠 Provide an agenda with a timeline 
 💠 Limit the amount of text on slides 
 💠 Start with business task
 💠 Establish the initial hypothesis 
 💠 Show what business metrics you used
 💠 Use visualizations
 💠Introduce the graphic by name 
 💠 Provide a title for each graph
 💠 Go from general to specifics
 💠 Use speaker notes to help you remember talking points
 💠 Include key take aways.