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Calculating Trimmed Means (SQL And Python Variations)

Data can oftentimes have extreme outliers, which can heavily skew certain metrics, such as the mean. One way to get around this is to use a trimmed mean. Using a trimmed mean, users will remove the top and bottom x percent of their data and take the ...

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Confidence Interval Printout - Python

Let's say we want a printout of our confidence interval for an entire sample (Note, if you're looking for a visual of a confidence interval over time, check out the post here!) The solution here requires Periscope Data's Python/R Integration as we'l...

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Recommendations For A Book/Tutorial On SQL For Sisense

Question For a novice starting out with Sisense and a very basic knowledge of SQL, would someone in this community be able to recommend a book and/or tutorial that could help expedite learning the SQL syntax used in the system to set up custom table...

Consortium Data By Masking Sensitive Values

Question Some organizations provide Sisense to their clients as part of their business offering. Some of these organizations would like also to provide clients with the consortium data derived from Sisense - a single ElastiCube where clients submit ...

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Benefits of JSON support in Postgres

The promise of Postgres JSON JSON support is the most interesting new Postgres feature of the last few years. It relaxes the primary constraint of SQL databases — the rigid schema structure — by letting you store semi-structured data in your tables ...

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