Displayr vs. Google Charts

Displayr is perfectly suited for any insights or data people that understand the type of analysis they want to do, but don't know R code - or just want to get to results more quickly than coding themselves. It's probably not the best learning ground, if you've never done any quantitative analysis before, but then neither are traditional tools like SPSS or Q.

Incentivized

Google Charts is perfectly suited for most presentations that are data oriented. There's not much of a limit on the type of table or chart you can create, and being able to integrate with Google Sheets just makes things even easier if you've already got the data stored somewhere. It works well on desktop browsers, Iphones, and Android phones. The only drawback I've been able to find is for those that prefer to have a desktop application.

Incentivized

• The intuitive interface and menus make it easy to quickly learn Displayr and find the types of data transformation or analysis that we're looking to do.
• The support level from Displayr's team is FIRST CLASS. Where othe platforms force you to an FAQ or AI chat bot, Displayr's team will jump in first hand, into our data, or on a live call, and help us run a new type of analysis or troubleshoot a problem.
• The ability to work collaboratively, asynchronously and remotely, on the same data set and report is a really huge plus for us.
• The in-built options for multivariate analysis cover 99.9% of anything we have - or will - ever need to run.

Incentivized

• Google Charts is free so a terrific tool for universities and students
• Provides new users that need charts an inventory and gallery of potential charts and types to visualize data
• The software is useful to add charts and data for websites with limited effort but with success

Incentivized

• The new "glow-up" on the interface has helped make it a bit easier on the eye, but there are some features of working in the "three pane" browser that are a bit frustrating: especially having to 'rearrange' when resizing the window to look at another app simultaneously.
• Such a small point, but being able to drag and move multiple elements in a table (eg drag two rows to the top) SIMULTANEOUSLY would help a bunch.
• I don't think we take advantage of all the visualisation capabilities in Displayr, and perhaps an AI 'recommendation' engine that sees the data I'm working with and prompts either a specific visualisation, or additional analysis option I might use, would be great.

Incentivized

• I would like a couple more introductory videos or a live chat option for when you run into an issue. I think this is a Google-wide problem, not only linked to Google Charts.
• I have run into some issues with the Dynamic Data but also admittedly could potentially dive in deeper and investigate.
• It would be great if Google Charts made it possible to integrate Google Chat into the platform.

Incentivized

Google Charts is a good product. It's widely supported with deep documentation and a large community. But for me, it wasn't customizable enough. When we started with simple charts, it was great, but as we got deeper and more complex, our needs outgrew the library. If I was going forward, I would choose a more barebones library with more freedom and extensibility.

Incentivized

It's really quite intuitive, but the visual interface could be made a bit more easy to use (window/pane rescaling etc) and I think there could be more 'proactive prompts' to suggest features we're underutilising.

Incentivized

Requires knowledge of Javascript, which can be difficult for a beginner. A business analyst often isn't as technically minded as a developer so collaboration is often required to produce a correct chart for the purpose required. However, the customisation capable due to this creates much better looking charts compared to other tools.

Incentivized

Google charts is always available and provides fast output.

Connectivity is occasionally very slow.

Google Charts has a very good documentation that we can just go in there and find the stuff we need to implement our solutions on Google Charts. Plus, if we get stuck, we can also email the support and they are very responsive. So overall, the support is very satisfying.

Incentivized

The online training was solely done through self training on google's guide to charts.

Easy to implement

SPSS (the last version I looked at) still requires much more underlying knowledge and coding ability to get where we want to be. That's not where we add value, so the speed and simplicity with which Displayr allows us to get the data analysis done, and move onto developing insight and delivering value is why I chose Displayr.

Incentivized

In comparison to Microsoft Power BI, Google Charts has more ease of use for businesses who simply need a way to visually display their data from their reports. Although Power BI may be more robust in more complicated data compilation, Google Charts can still be able to do some of the basics that Power BI delivers.

Google Charts is essential for quick, easy, reporting. There are opportunities for advanced features.

• I think Displayr is quite expensive, but has the biggest impact on our P&L of any of our subscriptions, because it has unlocked our ability to deliver bigger, more complex analytic projects for clients - and hence grow our topline.
• The ability to scale the license between years has also been a god-send as our team has gone up or down to deliver the level of quant work available to us.
• There's also a bottom line efficiency driven by some of the speed of analysis that Displayr enables.

Incentivized

• teams were easily able to create charts and find out progress on our learning courses and thus take actionable insights to their managers, professors
• students could also know their progress on various courses from one single view, same for instructors in terms of imparting education
• sales team could learn which kind of courses sold more to focus more on those areas

Incentivized