Editing csv is fast and simple using DocHub. Skip installing software to your computer and make alterations using our drag and drop document editor in just a few quick steps. DocHub is more than just a PDF editor. Users praise it for its ease of use and powerful capabilities that you can use on desktop and mobile devices. You can annotate documents, generate fillable forms, use eSignatures, and email documents for completion to other people. All of this, combined with a competing price, makes DocHub the ideal decision to rework age in csv files with ease.
Make your next tasks even easier by turning your documents into reusable web templates. Don't worry about the protection of your data, as we securely store them in the DocHub cloud.
DB in 60 seconds I wanted to ingest a bunch of CSV files directly from Jeff sackmanamp;#39;s awesome tennis data set on GitHub now duck DB supports Wild Card matching files but we canamp;#39;t use that here as itamp;#39;s not a file system so we just get back at 404. instead we need to create a list of all the file names and pass those to the read CSV function lucky for us the names are all in the format ADP underscore matches underscore yeah so if we can create a list of years then weamp;#39;ll be golden the generate series function lets us do this so you can see here we can pass in 1968 to 2023 and we get back a list of all those years we can then use the list transform function pass in the generate series and then we get a Lambda where we can map over that and construct some file names finally letamp;#39;s put all that together and create a table using the read CSV Auto function and then if we give it a few seconds we are done
