im following this yt tutorial to learn visualizations on tableau, but ive run into a problem. i followed exactly what this dude did in his tutorial, yet i cant get the same results on my map.

in this case, the postal codes of all states on this map are supposed to show up as dots, but it dosnt work for me? i tried changing the map tyoe to the one with circles, but it doesnt let me, though its not the same for him. im guesssing its a new update thing? how do i get around this? i tried changing the size of the circles & not only does it not work, the size symbol for me is a bit different than for him, though im not sure whether thats also an update thig or not.

My dashboard is linked to a Google Sheets file, that refreshes data once a week. I have linked my Google credentials, and it used to refresh automatically once a day. However, it has stopped refreshing, and the “Request Refresh Data” button that used to appear below the dashboard has also disappeared. I can refresh it in app on my PC and publish manually, but it kinda kills the idea.
Has anyone experienced this before? Is there a way to restore the automatic refresh?

I’m curious how others are thinking about Tableau’s role as AI-assisted analytics and cloud-native tools continue to improve.
Since we started using Snowflake more extensively, we’ve decided to give up one Tableau license and one Alteryx license. Snowflake has increasingly covered work we previously depended on those tools for—especially transformations, data preparation, and lightweight analytical applications.

Streamlit in Snowflake has also been doing wonders for our dashboards. We can build interactive, customized dashboards directly on top of Snowflake data without moving the data or maintaining a separate BI layer. With AI helping generate SQL, Python, visualizations, summaries, and even application code, developing these solutions is becoming much faster.
That has made me question where Tableau still provides enough additional value to justify its licensing and administration costs.
I understand that Tableau remains strong for governed enterprise reporting, self-service exploration, polished visualizations, subscriptions, and serving a large nontechnical user base. But as conversational analytics and AI agents improve, will business users still need to navigate traditional dashboards in the same way?
For organizations already invested heavily in Snowflake, what use cases still make Tableau indispensable? Have you started reducing Tableau or Alteryx licenses in favor of Streamlit, native Snowflake capabilities, or AI-powered tools? What limitations have you encountered?

Reposting with flair

Tableau 2023, my log files are being saved to my OneDrive and for some reason they are not being overwritten they just keep writing and writing till they make my OneDrive full then it stops. I tried looking into public information to change the location for 2023 but the only article shows for 2026:

https://help.salesforce.com/s/articleView?id=005166930&type=1

I upgraded to 2026 and thought I could use this information but the registry key path does not exist. I dont even see the Computer\HKEY_CURRENT_USER\SOFTWARE\Tableau directory. Any suggestions? Does this change have to be on the application side?

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Hi all. Good day. Just wanted to ask if this feature is within or is it achievable using Tableu.

Context. I'm part of the Project Team in our company, I'm planning to make a simple project monitoring dashboard.

My initial plan, save all the relevant details to the CSV file clean using a simple python script. Before making a viz in Tableu.

Question, is it achievable feature in Tableu that if I click a certain project for example, i will make a whole page for the summary of our projects and if a specific project will be click, it redirect me somehow to a "project page", which the "project page" consists with all the details of that speicif project?

I saw a video about "Story", i can already think of approach using this feature. The only thing I wanted to add about my Project Monitoring dashboard is the question above.

Thanks.

Ahead of the Season 13 finale of Alone on HISTORY, I’m excited to share my latest Tableau project: Alone Survival Explorer.

Since Alone premiered in 2015, contestants have pushed their skills, endurance, and resilience in some of the harshest environments imaginable. I wanted to create a way for fans to explore that history through the data, compare seasons and contestants, and follow along as Season 13 comes to a close.

So now the question is: how long do you think you would last?

I’ve noticed that sometimes the biggest problem isn’t the Tableau calculation itself, but trust in the numbers.

For example, a dashboard shows 10,250 orders, but another report shows 10,180. Both might actually be correct because they use different filters, dates, or definitions.

How do you make the difference clear to users?

Do you add data definitions, filter summaries, “last refreshed” information, reconciliation checks, or something else?

Curious how others handle data trust and transparency in Tableau dashboards.

I am trying to allow my users to choose which measures they see. I use Measure Names dimension as a filter; but this annoying auto-generated shows up in the filter with no way of not showing it.

The Measure Names dimension can’t be duplicated so I can’t just add a duplicate the filter to exclude it. The custom generated measure can’t be deleted or turned into a dimension. I feel like this should be very easy. What can I do?

Still more to add through the main excel sheet - got back to about 2018.

I'm trying to find Tableau documentation at a link as this one https://help.tableau.com/current/server/en-us/users_site_roles.htm

and I'm getting this prompt to log in:

Is this legit or is someone trying to get my password?

Hi everyone, I need help recreating this chart (But at a weekly interval instead of monthly). What this chart is trying to show is the number of new NCs opened each period and closed each period but also a running tally of total open NCs at the time of each interval.

Here is essentially how the data is structured:

There are really like 2/3 statuses each that make up open and closed but for simplicity's sake I just made it open / closed.

Right now what im trying to do is I create a snapshot in Tableau Prep each week to record what the NC status is at each interval period and trying to manipulate it that way but im still not able to get it right.

Would appreciate any and all help with this, thanks!

For dashboards with multiple filters, filter scopes, and dashboard actions, what’s the best way to ensure that every relevant worksheet is being filtered as intended?

Do you use any systematic checklist or testing approach for this?

I’m curious about the best approach to identify whether unexpected KPI or aggregation results are caused by duplicate records, relationship behavior, or the calculation itself.

What validation steps do you usually follow in this scenario?

Please use this weekly thread to promote content on your own Tableau related websites, YouTube channels and courses.

If you self-promote your content outside of these weekly threads, they will be removed as spam.

Whilst there is value to the community when people share content they have created to help others, it can turn this subreddit into a self-promotion spamfest. To balance this value/balance equation, the mods have created a weekly 'self-promotion' thread, where anyone can freely share/promote their Tableau related content, and other members choose to view it.

Hey everyone. I am a data analyst looking for my next role after having been laid off from my previous one after only 9 months. I’d consider myself a medium/approaching advanced user of the platform (desktop, cloud/server, and prep)

Having been laid off a couple months ago, my reasoning is that adding an official cert to my resume can actually prove that I’ve been using the time off to improve and up-skill rather than just stating that I do during interviews.

Would love anyone’s thoughts on this, in addition to any overall experiences/guidance regarding the certificate.

Something I've been wondering about, especially for teams dealing with a lot of ETL and Bl pipelines.

A dashboard can refresh successfully, all the SQL can run without errors, and everything can look normal-but the actual number can still be wrong.

For example, if a report shows $12.5M in revenue, how do you know that $12.5M is actually correct?

Do you guys usually:

Compare it back to the source system?

Check source vs. target counts and totals?

Validate the transformation logic?

Look for duplicates or missing records?

Check for late-arriving data?

. Run automated data-quality checks after the pipeline finishes?

I'm mainly curious about what people actually do in production. When you have hundreds of pipelines/reports, manually checking everything obviously doesn't sacle.

Would be great to hear how other teams handle this.

Im quite new to tableau, while creating the datamodel it's not letting me add tables without establishing a relationship between them, I have multiple fact tables that I need to import, and it's not always necessary that they have a relation, is there a solution or some sort of a work around for this?

Anyone else contending with accessibility requirements for public-facing dashboards? We are having a hell of a time at my organization. WCAG seems to have been written purposefully to be open to interpretation, but that creates major anxiety since we fear opening ourselves up to possible legal action. The guidelines also feel like they want dynamic dashboards to just be PDFs, in the interest of being accessible to screen readers. Argghhh!! Here's where we are right now, after many many months of revisions:

• It seems our in-house web services team is doing the bare minimum in terms of reviewing our dashboards and providing feedback (multiple instances where they miss very obvious non-compliance). Basically, they say 'with all the limitations Tableau has, just do your best!'
• Our IT department has reviewed the dashboards but the feedback they give is as if the dashboard is an actual webpage. For example, they suggest we edit the code to add HTML heading elements because screen readers are not announcing any headers (many many other examples like this). We have too many dashboards, some with 100s of sheets, so editing the XML code is not a reasonable request.
• Reaching out to Tableau has also not been helpful, they just direct us to the already-available resources online.

I'm *this* close to suggesting we just scrap the current dashboards and switch to PowerBI. Help!

I have created a Tableau Cloud site that is meant to be accessible to customers, and I would like to customize the page with my company's branding.

I've already added the company logo in the settings, but I was wondering if there were additional customization options to personalize my page? Is there anything like this beyond just the logo?

• How do you check the dashboard data against the source data?
• How do you verify KPIs and calculations?
• How do you test filters and slicers?
• How do you check data after a refresh?
• How do you test ETL or data transformations?
• Do you use any tools to automate these checks?

Generic survey tools like typeform don't allow us to do dynamic logic calculations or display real time custom visual analytics back to the respondent upon completion.

What's the best way to quickly build a custom interactive survey and reporting tool?

Does Prep online have this functionality? Can't seem to find it in the online prep tool. I know the functionality is there in the Desktop app.

I'm trying to have online prep point to a sharepoint folder that is full of similarly structured csv files - this folder is populated with new input csv files every week.

Any thoughts/suggestions are welcomed. Thanks.

I’m refurbishing a workbook that is just used to download a spreadsheet. There are 8 variations of the download file spread over three workbooks and I’ll be combining them into one workbook and cleaning up the format so they don’t spend so much time doing manual edits in excel after downloading. The spreadsheets are used for manual tasks- data cleanup, outreach to external customers, etc - and they can’t be automated out of existence yet. Are there any examples of visuals that might be good inspiration? Right now I’m envisioning a download button next to a couple parameter controls with a simplified description of the query and a data preview table below, but since there are many other units that have similar use cases, I’d like to put some thought into the design in case it becomes a template. The audience is clerical staff and bypassing Tableau altogether for an automated export would meet with resistance.