Assume a simple 3 column dataset as shown below – the date of each task and the status of that task. The objective is to get the status wise count of tasks by the last time stamp. So for the Status “To-do”, the count should be 2 – Task ABC and DEF. Only these two […]
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This table contains a list of all the inspections created and completed within different time periods. The objective is to create two Tables from this single table – one showing the Accounts created within the chosen time period and another showing the those that were closed within the same time period. Here are screenshots of […]
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Here’s a simple 3 column table showing Date, Project name (Cat.) and Status of the project. Each project can have multiple status entries on different dates. So as you can observe, project “alpha_9383993” was In Progress on Oct 2, 2017, remained so on October 5, 2017 but was completed on October 6, 2017. Date Cat. […]
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Assume a two column dataset with Date in the first column and Price in the second one. The purpose is to identify times to buy and sell – buying would be just after the lowest low is confirmed and sell before or just after the highest high is in place. Confirmation is achieved through crossover of […]
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Visualise Sales Data of a Non-Alcoholic Beverage Company with basic columnar information such as Date of Sale, Time of Sale, Brand, Stock Keeping Unit (SKU), State, City, Quantity sold, Unit Price and Salesman Code. In this sales dataset, each line item represents one visit for one SKU. If nothing is sold in a certain visit, then the SKU […]
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Count tasks by status
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