Questions? We got you.

Data is complex but Graphext is here to make it easy. Take a look at our frequently asked questions.

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Anything you want to ask? Want to request a demo? You can contact us at hello@graphext.com or click on the button bellow:

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Do I need to be a Data Scientist to use Graphext?
You don’t have to have a technical background to use Graphext. Our product is designed to be used by everyone. We provide step by step guidance to help users create and explore their data, but we also offer an advanced “editor” so more experienced users can get more out of the product.
What technology do you use to visualize the graph?
We use dimension reduction techniques to map out multi-variable data sets in two dimensions so users can visually identify patterns and outliers in their data.
Is Graphext a data visualization company?
We are a lot more than that. We pride ourselves in having cool visualizations, but in reality, we offer an end-to-end data analytics solution that covers data preparation, exploration, analytics, and reporting so we could help you in each step.
What is the advantage of data exploration before analysis?
When you work with a unfamiliar data set, you may need to establish and test many hypotheses in order to find insights from your data. Working under the wrong hypothesis could bias your analysis and produce inaccurate results. Our suggestion is to explore the data with Graphext in order to first confirm your hypothesis. That way you can develop more accurate analysis and save time.
What is data enrichment?
Within Graphext, we connect with a few external APIs and we are developing an increasing amount of API connections to improve data enrichment, so when you choose to enrich your data, we can retrieve additional information such as location, demographic, contact that will complement your existing data.
How does Graphext cluster data?
We cluster data based on their similarities. We use un-supervised learning so the clustering result is unbiased.
How accurate is your clustering result?
The clustering result is subject to interpretation. We aim to help users to put their data in business context so they can easily explain their finding to their audience.
I have sensitive data. Can I install Graphext on premise?
Of course! In fact, our platform is built using Docker, and it is ready to be installed in laptops, local or cloud servers
Is Graphext only a Social Listening tool?
Although Social Listening is one of the most popular use cases of Graphext, we offer much more! Basically we can analyze any type of data. And many customers use us to do customer profiling, retention analysis, survey analysis, product recommendation, text analysis, etc.
How much data can you process?
Is there a size limit? - This question depends on the type of dataset we are working with. The upload limit to Graphext is 4GB. With complex datasets including texts, each project can process up to 300MB of data. If you are data set is larger than that, we may be able to analyse it on case by case basis. Send us an email and we will get back to you.
What languages can Graphext process?
In our text analysis, we are able to process all major European languages including English, German, French, Spanish, Italian. For the Spanish market we also integrated Catalan in our language processing capability.
How much does Graphext cost?
Our pricing is seat based. Request a demo and we will get back to you.
Do you offer free trial?
Yes. Occasionally we offer free trials to collaborators, academia, and individuals. If you are interested, send us an email at info@graphext.com and we will get back to you.
Do you offer professional services?
Yes. We have a dedicated team of Data Scientists who provide advisory and consulting services to customers on project base.
I just asked for a demo. When will you get back to us?
Within 24 hours

Resources

Cómo el Congreso de los Diputados tuiteó durante el Estado de Alarma

Prácticamente todos los diputados del Congreso actual, la XIV legislatura, tienen cuenta en Twitter y gran parte de su trabajo consiste en leer y escribir tweets. Para bien o para mal, los políticos nunca han tenido más poder y facilidad para mandar directamente sus mensajes a los ciudadnos sin el filtro de la prensa. Analizamos las principales narrativas que cada partido movió.

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How US Congress Tweets in 2020

We analyzed almost 200K tweets from members of Congress, comparing across parties and seeing what worked for each one. We found interesting insights by analyzing the way each party worded their opinions.

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Finding opportunities in Madrid's Real Estate sector

We analyzed more than 20k advertisements in real estate websites to try to find underpriced houses with Graphext's predictive algorithms. Along the way we looked into the relationships between prices and factors such as education level or location index to try to find insights and patterns in the data.

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Airlines, the 2008 financial crisis and the lipstick effect

We analyzed 30K airlines services reviews and saw that there are clear jumps in ratings marked by the 2008 financial crisis and subsequent economic recovery. Could these factors have impacted consumers, or have airlines improved their services? We used Graphext to gain insight into the data and try to find an answer to these questions.

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