Home Posts DevLab: A place for experiencing new ideas for charts Homeyra Mahmoudi Yesterday at 12:16 pm The new “DevLab” section in BStreams charts allows data visualization enthusiasts to present their complex data in more engaging and interesting ways. BStreams introduced recently Devlab, as a laboratory to test new ideas for charts and data visualization. The DevLab serves as a bridge between BStreams and data visualization community, enabling all the users with novel charting options that are rare and unique on their own. The idea behind the development of the DevLab BStreams ..read more

Posts Smart Visualization with BStreams’ features A heterogeneous and homogenous audience may alter the process of data visualization. BStreams is an intelligent tool which designed to take into consideration the needs of both groups. In this article specifically, some tips and hints regarded the data visualization for heterogeneous audiences represented and you will learn about: Who is the heterogeneous audience for data visualization?  How it can affect the process of data visualization?  How you can use BStreams’ features for a rich illustration?  The heterogene ..read more

Posts Dashboard vs Storytelling The biggest challenge in data analysis is how we will expose data to the public in a simple and effective way to give easy and immediate results. To make a long story short, “how this data could be read correctly to lead the company’s decision based on solid data analysis?“. Perception and interpretation from an aggregated data depends to variety of reasons. One of the main aspects is to consider the audience and the use case of the represented data. Creators/Authors attempt to create a bridge between the user’s conscious and the aggregated data by dat ..read more

Posts What is Data Visualization? Data visualization is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data. Nowadays, companies need to manage a large amount of data flow in an increasingly hyper-connected world. Still, in order to extract value from a business point of view, it’s necessary a system that allows them to visualize that information making them accessible and easy to understand. Given that individ ..read more

Posts Top 5 data visualization mistakes By knowing the common mistakes in the data visualization, you can effectively enrich and engage your bstreams with the audience. Data visualization is, no doubt, the practice of translating information and data into visual contexts, intending to make the data we want to communicate to our audience more accessible and easy to understand. But when dealing with visualizations, as it happens in many other fields, there are dos and, of course, some don’ts to consider accurately to not compromise the final result. To communicate more effectively and ..read more

Posts Get oriented on BStreams This article is an introduction to BStreams to let you get oriented through our platform. We can’t wait to see you in action and impress your audience with beautiful data visualizations. We are super excited and thankful to you for choosing us for your adventure through data visualization & data analysis. We’ll do our best and work hard to give you high-quality service and constantly support you during the creation of your charts. Create a free account on BStreams If you want to create your first project but still don’t have an account, the first ..read more

Posts How to choose the right type of chart The right charts and maps will ease the point of your visualization for the audience. The BStreams provide a variety of formats for your stories and reports. One of the most frequent questions when working with data is how to choose the right type of chart for your data.   Efficient data visualizations will bring your story to the next level and capture the attention of your audience. On the contrary, your best efforts will go down the drain, and you will get the opposite effect. We are conscious that there are different types o ..read more

Thanks to the emergence of new technologies in the Information Age, businesses are saturated with considerable amounts of data of every size. Until not too long ago, data was only managed by a few professionals from the IT department with the appropriate competencies of processing, interpreting, and organizing data. This approach was mainly derived because most non-technical professionals within the organization were not appropriately trained on using a growing flow of data effectively. Things have changed nowadays, and the demand for managing and understanding data at every level has become ..read more

Nowadays, companies need to manage a large amount of data flow in an increasingly hyper-connected world. Still, in order to extract value from a business point of view, it’s necessary a system that allows them to visualize that information making them accessible and easy to understand. Given that individuals have a limited capacity to process information, data visualization is what they need to represent data graphically. The very crucial point now is “what is data visualization?” To answer the question, here’s a definition: Data visualization is the graphic representation of small and signifi ..read more

The problem of picking a color in data visualization is well expressed by a quote from statistician and professor Edward Tufte “avoiding catastrophe becomes the first principle in bringing color to information: Above all, do no harm” (Tufte, 1997). And that’s because the color is probably one of the most abused tools in data visualization due to the temptation to sprinkle some color within the chart to make it look more eye-catching. Let’s understand how to properly use color in data visualization and some best practices for selecting effective color palettes. Why is color important in data vi ..read more