Twitter alteryx

I have a few problems relating to the output of the Alteryx Twitter Connector, twitter alteryx, hopefully someone more familiar with the workings of the connector can help explain why.

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Twitter alteryx

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Browse your cleansed Twitter data in the results view, twitter alteryx. Hi Neil, It appears that the Tweet Source is not being parsed to remove the html tags.

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I have a dataset I'm receiving each month where I have two similar fields - Reporting Period and Month. In this data set, I am effectively getting one month of NEW transactions each month and eleven months of prior period transactions. However, the prior period transactions may be different to what's been received in the prior periods as users of the source system have the ability to overwrite existing records. What I'm trying to do with the dataset is to split the transactions into one of two groups - effectively, if they're NEW transactions, they follow a single process. If they're prior period transactions, they are compared to what we've received previously to determine if an adjustment is required. How I'd like to do this is using a filter, which effectively evaluates this expression as true or false for each transaction:. I know I could use a formula tool and add this in as an extra field, but honestly, I was wondering if it's possible to use an actual filter tool to accomplish this? Go to Solution.

Twitter alteryx

A little help for an alteryx newbie please! What would be the equivalent of a vlookup in alteryx? Go to Solution. You would need to assign the identifer columns from each table in the configuration pane. In this case my example would be the ID column in both tables. If this solves your issue please mark the answer as correct, if not let me know! I've attached my workflow for you to download if needed. Only complementing Jonathan-Sherman answer, you have two ways of joining data, if you want to get the result as a vlookup table, you should use find replace tool and if you want to join 1-n, use the join tool.

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Search Let's Chat. Accept Decline. Scorpion swaps hours of laborious data handling for live data connectivity with CData Connect Cloud and sets itself up for healthy, robust growth. Ready to get started? CData Connect Cloud Universal consolidated cloud data connectivity. Thanks NeilR, look forward to seeing the updated tool on the Gallery soon. Data Fabric vs. NeilR Alteryx Alumni Retired. NET Python. Labels: Labels: Connectors. Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.

A DateTime function performs an action or calculation on a date and time value.

Data Virtualization, Reimagined Data virtualization needed a shake-up. All forum topics Previous Next. Learn why a new approach to data virtualization is needed to remove the biggest bottleneck faced by modern data teams. Where possible, the complex queries generated by the filters and aggregations will be pushed down to Twitter, while any unsupported operations which can include SQL functions and JOIN operations will be managed client-side by the CData SQL engine embedded in the connector. Partner with CData to enhance your technology platform with connections to over data sources. Post Reply. CData Community. You can connect using your User and Password or OAuth. Sign Up Sign In. Aguisande We decided to leave the source unparsed since the href attribute could be valuable in addition to the link name. Aguisande is correct the Twitter API response changed. Connect to Twitter Data If you have not already done so, provide values for the required connection properties in the data source name DSN. With built-in dynamic metadata querying, you can visualize and analyze Twitter data using native Alteryx data field types. Chat Yes, I love the "old" Cleanse macro.