Prep 3: Key Influencers for Croc Captures

Suppose you work for an organisation who is responsible for crocodile captures, and you have collected data on crocodile captures over several months or years. Your dataset includes information about the capture month, capture method
(e.g., trap, manual capture), and additional attributes such as the size of the crocodile and the capture zone. The successful result of the Key Influencers visual will depend on your overall skill in Power BI to tame your data. The success will depend on :

  • Data Preparation: How you Imported your crocodile capture dataset into
    Power BI Desktop and ensured it was properly structured. You made sure
    you have columns for capture month, capture method, and any other
    relevant attributes you want to analyse.
  • Driving the Key Influencers visual: Adding the Key Influencers visual to your
    Power BI report canvas, then driving it by assigning it data. You assign data
    fields such as the capture month as the “Explain by” field and the capture
    method as the “Analyze” field. You then included additional attributes as
    “Include fields” to investigate their influence.
  • Analyse the results: The Key Influencers visual will go and analyse the data
    and identify the factors that have the most significant influence on
    crocodile captures. It will show which capture methods are associated with
    higher or lower capture counts in specific months for example.
  • Test the impact or importance of the result : For instance, the visual might
    reveal that manual capture methods are more successful during certain
    months, while traps are more effective during others. It may also indicate
    any specific attributes (e.g., capture location, crocodile size) that
    significantly influence the capture method or capture counts.
  • Explore and refine: Utilise the interactive features of the Key Influencers
    visual to dive deeper into the data. You can drill down into specific
    months, filter the data based on capture locations or crocodile sizes, or
    adjust the statistical model used for analysis. This allows you to gain more
    precise insights and refine your understanding of the influential factors
    affecting crocodile captures.
  • Don’t underestimate the power of other visuals on the same page. More
    and more Suggestions are creeping into Power BI desktop where Power BI
    can look at the data and suggest a Visual.
  • Enhance conservation strategies: Once you have identified the key
    influencers, you can utilise these insights to enhance your capture and
    conservation strategies. For example, if the visual shows that manual
    capture methods are more successful during certain months, you can
    allocate resources and plan capture operations accordingly. You can also
    identify areas where specific capture methods may need adjustments or
    improvements based on their performance across different months.
    By leveraging the Key Influencers visual in Power BI Desktop, you can effectively
    analyse crocodile captures and uncover the factors that significantly influence
    capture methods and capture counts. This information can guide decision-making
    and help improve conservation efforts for these cute critters.