Miguel Saez

@masaez1

One of the guys building Alphacast. Hope you enjoy it!

Joined
March 2021

masaez1's insights

  • How to integrate Alphacast with Excel for Mac

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    In the dataset, click on the Download button. Select the TSV format and choose Copy Link Alternatively, you can use the Data Snapshot link from any pipeline. Remember to choose the TSV link. Step 2. Integrating with Excel Open Excel on your Mac, go to the Data tab in the top menu bar. Click on Get Data (Power Query) and Select Get Data (Power Query) from the dropdown menu. Choose data source: Blank query from the options In the Connect to the data source tab, you need to paste the dataset URL and then run the following query. After that, press Next to visualize the table. Csv.Document(Web.Contents("CSV link")) Finally, set up your table by selecting the first row as headers. Step 3. There is no step 3....

  • Supporting internal links

    This is a link This is a link to a second header To a First Header Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum To a Second Header Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est...

  • Links

    link link 2 Sample Another sample more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more more...

  • How to create your insights

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    Basic insights can be created by combining headers, charts, and images. Headers can be included by using #, ##, ###, Alphacast charts can be included by using '@chart' and '@Ncharts' Images can be inserted using the icon in the toolbar above Explore the toolbar for more options: Bold, Italic, Underline, ~Striketgeough~ and more. This is an Example Insight to paste an interactive chart, write '@chart' and find your chart and copy everything in the URL after https://charts.alphacast.io/grapher/ To add multiple charts use the command '@Ncharts" and paste multiple charts separated by a space Insights are created with Markdown language. For a full reference of markdown, features see here...

  • Alphacast Friday Update - January 14th, 2022

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    As we presented in our previous update, we kept working on our new pipelines engine. We have now reached features parity with our previous engine, so we are ready to start testing internally before we launch it to everyone. In this update, we are showing how some of the new features compare with our previous ones, and we hope you will find the new experience easier (and more fun) to use: Pipeline Migrations We have automated the migration of our previous pipelines definitions. This means that once we launch the new pipelines platform, you will be able to edit your previously created pipelines, and extend them with new features included in the new platform (such as merge dataset). As an example, check the "lineal combination" definition in our previous admin tool: Compared to the "Calculate Variable" step, with the given calculation already migrated: Datasets search When creating a pipeline, you usually need to indicate where data will come from, and where it should go to. In the past, you would need to remember in which repository your dataset was stored, in order to select it: We are now using our Search Engine, and as you start typing the name of...