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#Tableau Public35 人正在讨论

Hello everyone 

 

I am developing a data visualization project using Tableau with a hotel dataset that contains booking records for city and resort type of hotels, and related data such as guest details, pricing, and cancellations, to name a few. 

 

I have drafted 4 visualizations which will eventually be consolidated into a single dashboard. 

 

Please visit the visualization link here. 

 

The visualizations were developed to answer these research questions (in the same order):  

 

Q1. How do cancellation rates differ by market segment and deposit type for City Hotel and Resort Hotel? 

 

Q2: How do booking volume and average length of stay change throughout the year, and does the pattern differ by distribution channel and customer type? 

 

Q3: What geographic patterns can be identified in cancellation rates across guests’ countries of origin, and what booking characteristics are associated with these patterns? 

 

Q4: What booking profiles can be identified based on lead time and waiting-list duration, and how do they differ by room assignment, customer type, repeat-guest status, and number of special requests?  

 

For each research question (visualization), may I request your feedback on (one or more of) based on these questions?: 

 

A. Is the chart type appropriate? If not, could you please recommend a more appropriate one along with what measures to use? 

 

B. Do any of the colors/color scheme need to be changed? 

 

C. Do you recommend mark labels? If so, for all, or for high/low only? 

 

D. Hovering over the visualization shows more details but does it look like cognitive overload? Would you recommend splitting the visualization into two or more instead? 

 

E. Do you have (any) other feedback or best practice using data visualization principles to improve this? 

 

Thank you very much in advance! 

 

#Tableau Public  #Tableau Desktop & Web Authoring  #Best Practices  #Reports & Dashboards

 

#Trailhead Challenges  #Trailhead

1 个回答
  1. 10月15日 03:14

    Your hotel booking data visualization project covers great foundational research questions, especially comparing cancellation rates across market segments and analyzing seasonal length of stay patterns. To give you constructive feedback on your draft dashboard components, your chart types for market segment comparisons and seasonal trends generally work well, though ensuring consistent color coding between city and resort hotels will help prevent visual clutter. 

     

    When presenting cancellation rates by country of origin, consider using a filled map or a sorted horizontal bar chart rather than trying to cram too many data points into a single view, as high-density hover details can sometimes lead to cognitive overload. Splitting complex geographic and lead-time distributions into smaller, focused panels will make the underlying trends much easier for your audience to digest at a glance. 

     

    Finally, to improve overall data storytelling, apply mark labels selectively to extreme high and low outliers rather than cluttering every single data point. You can also use tooltips strategically to surface guest details and special request counts on demand, keeping your primary views clean while still providing deep exploratory depth for anyone reviewing your research.

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Hi, we are graduate students working on a draft dashboard for a data visualization course. 

  • The data cover 156 countries’ Happiness Scores (0–10) and six explanatory factors from the World Happiness Report 2019. 
  • Our research questions are: which countries are happiest and least happy, which factors are most strongly associated with happiness, and how freedom differs between the top and bottom 10. 
  • We would appreciate specific feedback on the clarity and design of our current visualizations before finalizing the dashboard.

Link:  

https://public.tableau.com/views/WorldHappiness2019WhatGoesAlongwithHappiness/Dashboard-WHR2019Overview?:language=en-US&:sid=&:redirect=auth&:display_count=n&:origin=viz_share_link

  1. Is it clear that the three scatter plots should be compared with each other (strong → moderate → weak), or does the layout need a stronger visual cue? 
  2. Do the chart types make the main findings easy to understand, or would you recommend a different visualization for any of them?
  3. Are the titles, captions, labels, and color choices clear without creating unnecessary visual clutter?
  4.  Does the sequence of the six charts create a logical story, or would you change their order before combining them into a dashboard?
  5. In the last worksheet, we compare the average Freedom to Make Life Choices score for the top 10 and bottom 10 happiest countries using a two-bar chart.      

    Is the two-bar comparison sufficient for communicating the difference, or would showing the individual country distribution with a dot plot or box plot provide more useful context without making the visualization too complex?  

Thank you for your time!

#Tableau Public

1 个回答
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Hi everyone,

I’m using Tableau Desktop Public Edition 2026.2.2 on Windows and I’m trying to publish a completed dashboard to Tableau Public.

The problem is:

  •  Under Server, I only see Run Optimizer
  •  I do not see Tableau Public → Save to Tableau Public
  •  The shortcut Ctrl + Shift + S also does nothing 
  • Help → About Tableau Public confirms I’m on Public Edition 2026.2.2
  •  I also encountered this error earlier when trying to publish: 

     

    “Unexpected error: TypeError: Cannot read properties of undefined (reading 'apply')”

The workbook itself opens and works normally, and I can save it locally. I’ve also tried restarting Tableau and signing into Tableau Public in the browser.

Has anyone seen this in Public Edition 2026.2.2? Is there another way to trigger publishing, or is this a known bug with the current build?

Any help would be appreciated. Thanks! 

 

#Tableau Public  #Tableau Server

2 个回答
  1. 10月1日 20:56

     I haven’t run into this exact issue, but it sounds like the publishing option isn’t loading properly in the Public Edition. Since the workbook works normally and the error appeared during publishing, it could be related to the current build. Hopefully someone from Tableau can confirm whether this is a known issue. 

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I have compiled the number of SQL results for my data analytics project into one excel workbook. How can I have multiple Excel sheets in Tableau but not have connections among them? The tables in each Excel sheet aren't necessarily connected. And do not want them to be connected. 

  

Meanwhile, for each chart, I am connecting this same Excel workbook and establishing a new connection every time. I hope there is a better and simpler way.

#Tableau Public

4 个回答
  1. 10月3日 06:10

    Having common fields/keys is not a requirement for doing a union of Excel files. Try it and see if it helps.

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I have gone in circles Googling and I must be missing something glaringly obvious. I am trying to add a worksheet to my data viz that shows the mean profit % by genre. In my data source I have the budget, revenue, profit dollars, and profit % for each movie (along with the genre).  

 

When I add the pill for the profit % the math just doesn't add up (whether I use AVG or SUM). Do I need to add a total for each genre in my spreadsheet somewhere in order to get the mean profit%? Should I remove the movies that have -100% profit from the spreadsheet> My Mystery and Science Fiction genres show 1000%+ and that should be way off. None of the other genres are correct either. I am new to Tableau. I love the platform but I still clearly struggle with the Excel -> Tableau workflows. Thank you for any help or suggestions! 

 

My Data Viz on Public: 

https://public.tableau.com/views/Movies_17901921237330/Sheet1?:language=en-US&:sid=&:redirect=auth&:display_count=n&:origin=viz_share_link

 

 

#Tableau Public

2 个回答
  1. 10月2日 06:15

    You need to create a calculated field in Tableau to compute the Profit % as follows: SUM([profit]) / SUM([budget]). 

    You should not use the pre-computed value in your data.

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APAC Command Centre — a business performance dashboard with drill-down views across Product Performance, Customer Cost/Value, and Operations & Shipping, tracking gross profit, margin, and return rate trends.

Spotify Analysis — an end-to-end music streaming analytics build. Raw data cleaned and joined in Alteryx (900K+ play events, dedup, date/boolean standardization, a custom macro), visualized across an Executive Overview and Content Performance dashboard with parameter-driven Top-N views and a custom dark theme.

Would appreciate feedback on:

  • Visual design — readability, contrast, anything that feels off
  • Chart choices — anywhere you'd have visualized something differently
  • Navigation/drill-down flow — intuitive, or confusing anywhere?
  • Anything that reads as unfinished — direct critique welcome

Links below — thanks to anyone who takes a look! 

 

APAC Command Centre -

https://public.tableau.com/app/profile/aviral.trivedi/viz/APACCOMMANDCENTRE/HubOverview

 

 

Spotify Analysis -

https://public.tableau.com/app/profile/aviral.trivedi/viz/Spotify_Analysis_17884476660320/ExecutiveOverview

 

 

#Tableau Public  #Reports & Dashboards  #Tableau Desktop & Web Authoring  #Trailhead Challenges

3 个回答
  1. 9月30日 15:37

    We all start somewhere, and I think this is a good effort at making an interesting and structured dashboard, with your navigation being good, and your main page having a good number of KPIs, so not overloading the user. My points below are mostly based around deciding what the question is that you're trying to answer with each chart, but I think there are a few things wrong with individual elements, that you need to be careful of (especially Top N and the Order of Operations). Below is my (personal opinion) feedback, which you're welcome to ignore, should you so desire, sorry it's long. 

      

    I find trend (line) charts that combine multiple years confusing. Your chart suggests an amazing trajectory of sales, no matter which year(s) you select. It doesn't illustrate that, every January, there is a catastrophic drop in sales (compared to December). In my opinion, your chart doesn't show a trend when you have all years selected, you're comparing "Octobers" (plural) with "Septembers" (and the other months), which is a discrete date comparison and I'd plot as a bar chart. It's only a trend when one year is selected, because then all the months are in sequence, but because you're only showing your users Jan to Dec, you're misleading them into believing that sales just keep going up and up. Your chart omits this line at the end of every year, which feels kind of important:

    We all start somewhere, and I think this is a good effort at making an interesting and structured dashboard, with your navigation being good, and your main page having a good number of KPIs, so not ovFor business dashboards, I would stick to one method of telling the user the values on the chart. On some of your bar charts, you have a y-axis, you label every bar, and you colour the bars according to their height. While colour is a personal/customer preference (I usually keep them grey, and pick out key points with colour), your y-axis, at least, is redundant, because I'm not going to read the exact(ish) value of 5.9m, and then look across to the y-axis to check it also says about 5.9m. Ask yourself what you can remove from any chart and it not lose any information:image.pngOn your discount vs. profit, it's not clear whether you're trying to show a correlation, or an indication of spread. You also have two significant outliers that massively increase the required area of your chart. I would consider categorising the average discount into Low/Medium/High, and then using a box-plot to see whether there was a lot of difference. You'd get much more visual separation, as the outliers would 'disappear' in a measure of spread.image.pngYour filter settings on your Top N by Sales may not be correct. You've got Top 5, but the chart is only showing 1. This generally suggests you haven't accounted for the Order of Operations, where Top N is calculated before Dimension filters, I can't download your workbook to be more specific, though.image.png

     

    On your map, you've highlighted that Mongolia has the lowest sales at $£3.1K, but the mark on the map is NULL (no sales), and if I mouse over Papua New Guinea, it has sales of $1.9K, suggesting that after you've labelled the chart you've changed the filters. Make sure any annotations are correct, because they're pretty static

    image.png

     

    On your Performance per Sub Category chart, I don't know what a red bar and a green bar mean: it's not the size of the bar; if it's the profit margin, you have the number labels displayed as red (which you appear to be using to mean "bad"?), but against green bars (and is a profit margin of 15.3% "bad"? in the industry I'm in we'd bite your hand off for that). Equally, the actual profit from phones and accessories is about the same, so if the message you want to convey is about good versus bad profit margin, I'm not sure this chart makes that point clear. The main message of a chart shouldn't be one of the secondary preattentive attributes of a chart.

    image.pngOn your heat map of delays, your commentary says delays have stayed relatively constant, but you've used a colour range that maximises the visual difference (a min to max colour range). Also, the colour isn't related to the value in the cell, and there's no legend to tell me what it actually is. If you wanted to convey a relatively constant amount, then perhaps a scale that was from an exceptional level (0 days) to a terrible level (10 days?), which would then support your message. Having a target might be more appropriate to show where you've done well. If this was a printed report, the colour bears no relation to the value displayed:image.png

    If I mouse over, I can deduce that it's the record count, but your user isn't told that anywhere. 

    Finally (sorry), on your shipping delay hotspots, you have the same colour meaning multiple different values, becuase you're using a dynamic legend. If you change the year, the dark red means anything between 5 and 7 days, but visually, Pakistan in 2023 (5 days) is as bad as Cambodia in 2025 (7 days), despite Cambodia having 40% longer delays, on average. For this chart, I would use a static range, where anything beyond my target, e.g. 3 days, is red. As it stands, if the business was transformed, and the longest delay was 1 day, that would still be considered "very bad red".

    image.pngMy two top tips would be: always know the question you're answering - if you want to say something is good or bad, you have to define good and bad, and these will often be static values or targets; when you think a chart is finished, look to see what you could remove without losing any information.

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Hi

 

Has anyone done a viz around Search Engine Optimization. I have pulled through some organic traffic, pages etc from GA into tableau and looking for visualization ideas.

 

Regards

9 个回答
  1. 2024年4月6日 09:30

    Interesting project! Incorporating visualization into SEO data can offer valuable insights. Have you considered visualizing the impact of <LINK REMOVED BY MODERATOR> improving SEO with CTR increase over time? It could be fascinating to see how different strategies affect click-through rates and overall organic traffic growth.

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Here in this bar chart, i have plotted total admissions against age groups. The admissions is a calculated field derived from female count + male count. Now I want a stacked bar chart with distinct colors for female and male count/percentage. How can I do that?

How to put up a stacked bar chart

 

 

 

#Tableau Public

1 个回答
  1. 9月29日 15:25

    @Shubhangi Jadhav

     you'll want to Pivot your data in the data source tab (1st tab of every workbook). 

     

    Go to the data source tab, select Male/Female columns, then right-click and from the menu of options, select Pivot:

    you'll want to Pivot your data in the data source tab (1st tab of every workbook).From there, you'll then see Tableau represents the data as Pivot Field Names and Pivot Field Values (you can click into the header and rename these):Screenshot 2026-09-29 at 8.20.38 AM.png

     

    Then you can build your view: 

     

    Screenshot 2026-09-29 at 8.22.19 AM.png

    To get the percentage of same, drag another SUM( [Gender Counts] ) as example field.  Then right-click and select Quick Table Calculation, then from sub-menu to that, select Percent of Total.   

     

    Screenshot 2026-09-29 at 8.57.31 AM.png

     

    Then set the compute by to use Table Across:

     

    Screenshot 2026-09-29 at 8.57.58 AM.png

    You'll then have what you've asked for in your post: 

     

    Screenshot 2026-09-29 at 8.58.06 AM.png

    If this response answered your question, please mark it as an Accepted Answer? 

    This way, others searching for similar solutions will find the answer faster in the future.

    Best, Don Wise (Tableau Ambassador)

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If I open the attached Excel spreadsheet and do this using Tableau Public in Sheet 1, I get an error:

  1. Drag Fertility Rate to the Columns shelf.
  2. Drag Live Expectancy to the Rows shelf.
  3. In the Analysis menu, uncheck Aggregate Measures.
  4. Drag Year to the Pages card.

At this point, I get this error:Bogus error message embarrasses me while teaching

 

This is the error text: 

Unable to complete action 

Internal Error - An unexpected error occurred and the operation could not be completed. 

Error Code: 6EA18A9E 

 

If I drag

Year to Columns first, then drag it from Columns to Pages, it then seems to work. Huh? But it gets worse. I continue on, dragging Population and dropping it on Size in the Marks

card. Same error. 

 

A student happened to notice that going to

Format > Animations and setting Workbook Default to Off

seems to stop these errors. But why? Why am I getting these errors? 

 

It seems like quality control took a nosedive when Tableau forced academic users off of Tableau Desktop and into Tableau Public. It is fragile. 

 

#Tableau Public

1 个回答
  1. 9月17日 03:32

    Hi Aren,

    I tried to reproduce the issue using the attached workbook in Tableau Public.

    I followed the same steps:

    • Fertility Rate → Columns

    • Life Expectancy → Rows

    • Unchecked Aggregate Measures

    • Year → Pages

    • Population → Size

    However, I was unable to reproduce the error. The visualization worked as expected, including the Pages control and Size encoding.

    Based on that, the issue may be related to a specific Tableau Public version, workbook setting, or environment rather than the dataset itself.

    Hope this helps narrow down the cause. 

    Hi Aren,I tried to reproduce the issue using the attached workbook in Tableau Public.

     

     

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Hi, I've made an account recently for Tableau public and I want to download the desktop version but it will tell me "oops, something went wrong. please try again later." I also notice I am signed in on other pages but it has the sign in option on the download page itself. I cleared my cache to see if that helped but no changes. 

 

Any help would be appreciated. 

 

#Tableau Public

2 个回答
  1. 9月14日 16:29

    @Cal Herman see if you can sign-in to this webpage (upper right-hand corner for signing in) with your Tableau Public account log-in information. https://www.tableau.com/products/public/download you should then see the following options for downloading:see if you can sign-in to this webpage (upper right-hand corner for signing in) with your Tableau Public account log-in information. https://www.tableau.Click on the link that corresponds to your device and OS type.  If that doesn't automatically download from there, you'll see the following option, to then select the device/OS type again for a forced download process:Screenshot 2026-09-14 at 9.29.15 AM.pngIf for some reason this doesn't play out for you, let us know what platform you're using as shown in the above screenshot - we might be able to download and attach the .zip or .dmg installation file and attach it to this thread for you.

     

    If this response answered your question, please mark it as an Accepted Answer? 

    This way, others searching for similar solutions will find the answer faster in the future.

    Best, Don Wise (Tableau Ambassador)

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