321–330 of 370 posts
Reporting --> Chartio, Sisense, Looker etc. (anything web focused without a desktop version pretty much) Analysis --> Ipython No room for Tableau and similar.
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>Generally data analysts do not know how to program In my experience, the ones that don't often produce some really erroneous or nonsensical results. Or even if they do get some things right, they have no ability to drill deeper.
Most big companies are actually just fine with nonsensical results. It's a bit odd, but I've realized that nobody who uses BI actually cares much about data quality or integrity.
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Hey, question on how licensing for highcharts works as a freelancer. Do you have your client buy a single website license with you as the dev? Or you have a highcharts dev license? Or something else?
Nope, we went for jqplot ( http://www.jqplot.com/ ), it is GPL. The client initially wanted to go with Highcharts, but when we found about its licensing, I started looking for a FOSS alternative and this was what I found.
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I don't know about SV, but foreign investment is pretty dam low in Victoria, BC, which could be used as a proxy for Vancouver. 97.8% were domestic buyers.[1] It's not foreign buyers driving up the market in Vancouver, it's Canadians will to put themselves into serious debt in order to buy a house. [1] http://www.greaterfool.ca/2016/01/31/of-debt-data/
Actually, it is foreign investment: http://news.nationalpost.com/news/canada/in-a-six-month-peri... "In a recent six-month period about 70 per cent of all detached homes sold on Vancouver’s west side were purchased by Mainland China buyers..." Even if those numbers are off, it's a huge influence on the market.
That's like doing the same study in Boston and claiming foreigner buyers from Ireland own 50% of Boston homes!
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Lol, so I use Tableau every week. For example today I had a government request to measure quantity of customers outside a particular business radius of 40km. Meaning what percent of total visits are in the radius vs outside it. I had 8k postal codes. This took me literally 5 minutes in tableau, I would hate to see how long this would take you writing code. ..Just the tip of the example iceberg.
A programmers whose job is to make these kinds of reports will already have information about postcodes and so on, and take less time than you. Tableau is quick at doing simple things, but takes a lot of learning to do complex things. Often, you will have to resort to custom scripts, creating views, etc. Often, it just won't have the ability to do certain things. Anyone with any experience in drag and drop applicatio…
I have, and I can tell you it's not easy, for example in Canada there are like over 10k postal code regions. Then imagine maintaining this dataset, no thanks.
Anyhow that's not the point, that's just one data set Tableau does very fast, but tomorrow could be something totally different and the next day, etc.
Sure for complex custom requirements no BI tool will work, but it's sure better than what people were doing just a few years ago with excel or hiring expensive firms.
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A programmers whose job is to make these kinds of reports will already have information about postcodes and so on, and take less time than you. Tableau is quick at doing simple things, but takes a lot of learning to do complex things. Often, you will have to resort to custom scripts, creating views, etc. Often, it just won't have the ability to do certain things. Anyone with any experience in drag and drop applicatio…
Are the complex requests in regards to getting/manipulating the data, or in the final visualization. I'm trying to build a desktop tool similar to Tableau but with the ability to easily drop down into python and do data manipulation with the pydata stack. Intended audience is the new breed of quantitative analysts/data scientists.
Some examples: https://public.tableau.com/s/gallery
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It's limited to flat files, so you have to plan ahead on what data you'll explore. In terms of the viz - feature parity, but not quite the same at all if you want to do exploration. Which is too bad, because Tableau's ease of exploration is what makes it so much more valuable than PowerBI or custom d3.
What is it lacking in terms of exploration? I thought most of the exploratory benefits were in the visualizations, unless you mean the ability to ad-hoc connect to random databases and begin exploration (because you have to plan ahead to extract flat files from those sources)
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What is it lacking in terms of exploration? I thought most of the exploratory benefits were in the visualizations, unless you mean the ability to ad-hoc connect to random databases and begin exploration (because you have to plan ahead to extract flat files from those sources)
That is a key part of the value proposition!
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The price is expensive but if I'm charging $100 - $150 / hr and it takes me twice as long to do something in PowerBI that it does in Tableau, Tableau quickly pays for itself for the desktop software. Then you can multiply that across a team of experienced BI professionals and even the product team because they can easily view workbooks and give feedback. That would easily outweigh the costs of Tableau Server.
Looking at their pricing ($500/user/year) seems pretty reasonable for such a high-impact role. If you're at a company, the question is if it saves you ~5 hours in a year.
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That is a key part of the value proposition!
I mean in terms of learning to use the exploratory/dashboarding functionality - it's fairly easy to do that with Tableau Public and public data sources (or your own if you are fine with the saved dashboards being accessible to the public).