Data Engineering

How do Data Analysts choose the right Data Visualization techniques?

The question is about Data Engineering .

Answer:

Data analysts select visualization types based on the data, the target audience, and the message. For categories, they might use bar or pie charts. For time series data, line charts are most effective. For complex datasets, they might opt for scatter plots or heat maps. The aim is to choose visuals that make patterns and key insights easy to spot and understand.

Related Data Engineering Questions And Answers

Ready to Hire?

Hire trusted DE devs from Ukraine & Europe in 48h

Skip the hiring headaches and get trusted DE developers who deliver results. Cortance has helped startups scale to million-dollar success stories.

Cortance developer 1Cortance developer 2Cortance developer 3

Find your perfect DE tech match

No available DE at the moment

All our DE are currently busy. Leave a request for info — we'll notify you once a suitable one becomes available.

Cortance 5-star rating on ClutchCortance 5-star rating on GoodFirms
Anush Sedrakyan
Partnership Manager

Cortance's efforts increased device compatibility, improved system interoperability, and reduced time-to-market by 20%. The team adapted to the client's workflow and provided resources aligned with the project's needs. Cortance's commitment to understanding the requirements was impressive.

Clutch
5.0/5.0
Maksim Robochyi
CEO

Thanks to Cortance's efforts, the client delivered the project on time. The team provided solid support and communicated primarily through virtual meetings, emails, and messaging apps. Their seamless integration and proactive problem-solving approach resulted in a positive partnership.

Clutch
5.0/5.0
Curved left line
We're Here to Help

Looking for consultation? Can't find the perfect match? Let's connect!

Drop me a line with your requirements, or let's lock in a call to find the right expert for your project.

Curved right line