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https://issues.apache.org/jira/browse/SOLR-13105?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17260824#comment-17260824
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David Eric Pugh commented on SOLR-13105:
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I am reading through each page and putting some spelling fixes etc in.
Here are some notes I made to myself:
1. enron_emails emails collection, wish we could follow along iwth that dataset.
2. math-start.adoc line 105 add link to Zeppelin? It's not the most well known
project!
3. check math-start.adoc line 121 the parameters!
4. Any thoughts on putting all the various .adoc files in a sub dir? So many
of them! So we know `loading.adoc` isn't a generic solr loading help page!
5. loading.adoc - wish we had the iris.csv data file as well to follow along,
plus to easily test the queries!
6. should all field names be wrapped with stars? I.e `filesize_d` -->
`*filesize_d*`
7. search-sample.adoc, line 177, and would like the nyc311 dataset as well!
> A visual guide to Solr Math Expressions and Streaming Expressions
> -----------------------------------------------------------------
>
> Key: SOLR-13105
> URL: https://issues.apache.org/jira/browse/SOLR-13105
> Project: Solr
> Issue Type: New Feature
> Reporter: Joel Bernstein
> Assignee: Joel Bernstein
> Priority: Major
> Attachments: Screen Shot 2019-01-14 at 10.56.32 AM.png, Screen Shot
> 2019-02-21 at 2.14.43 PM.png, Screen Shot 2019-03-03 at 2.28.35 PM.png,
> Screen Shot 2019-03-04 at 7.47.57 PM.png, Screen Shot 2019-03-13 at 10.47.47
> AM.png, Screen Shot 2019-03-30 at 6.17.04 PM.png
>
>
> Visualization is now a fundamental element of Solr Streaming Expressions and
> Math Expressions. This ticket will create a visual guide to Solr Math
> Expressions and Solr Streaming Expressions that includes *Apache Zeppelin*
> visualization examples.
> It will also cover using the JDBC expression to *analyze* and *visualize*
> results from any JDBC compliant data source.
> Intro from the guide:
> {code:java}
> Streaming Expressions exposes the capabilities of Solr Cloud as composable
> functions. These functions provide a system for searching, transforming,
> analyzing and visualizing data stored in Solr Cloud collections.
> At a high level there are four main capabilities that will be explored in the
> documentation:
> * Searching, sampling and aggregating results from Solr.
> * Transforming result sets after they are retrieved from Solr.
> * Analyzing and modeling result sets using probability and statistics and
> machine learning libraries.
> * Visualizing result sets, aggregations and statistical models of the data.
> {code}
>
> A few sample visualizations are attached to the ticket.
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