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💻 Workbook | Dig deeper into your energy and utilities data to maximise profit
In the energy and utilities sector, sage business decisions can maximize downstream profits and minimize upstream costs. That's why factors like abandonment costs, local human resources, foreign entity taxation, legal issues, and operating/lease agreements need to be effectively managed. In Tableau, you can combine geographic views with your other analyses, including powerful dashboard highlighting and filtering. Select regions or even individual wells to update information automatically.
12 de fev. de 2022, 11:40 Hi @Iestyn Humphreys,
Are you still looking for this - 6 months later?
By cumulative cost curve, is this just a cumulative histogram? Though you could use anything as the x axis.
Using Superstore, this only needs a single calculation for the cumulative, though the cumulative is expressed as a percentage, with the distributions also expressed as a percentage, so you'll need a calculation for this too.
1/ Bin you measure, we'll use Sales, set Bins as 500
2/ Perc total:
Sum(Sales) / Total(Sum(Sales))
3/ Cumulative perc total:
Running_Sum(Sum(Sales)) / Total(Sum(Sales))
4/ Format both calcs to percentage
5/ Drag Sales(Bin) to Columns
6/ Drag Perc Total and Cumulative perc total onto the rows
7/ Dual axis, setting Perc total mark as bar, and the Cumulative perc total as a line
Does this help?
Steve

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Energy & Resources Analytics
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Energy & Resources Analytics
https://www.tableau.com/solutions/energy-and-resources-analytics
- ExxonMobil's Data Quality Center achieves 95% time savings
- Getting ahead of the metrics with data visualizations at GE Oil & Gas