What Are The Best Data Visualization Tools For Mapping?
Automating the data visualization process becomes a designer's invaluable ally when tackling data sets containing millions of data points. With such vast amounts of data to work with, automation streamlines and simplifies the designer's tasks, ensuring efficiency and accuracy in the visualization process. As a result, designers can save substantial time and effort by automating data visualization with map drawing software. But the question remains: which tool is the best for mapping?
According to online data, the best data visualization tools for mapping include Maptive, Google Maps, Tableau and Datawrapper.
Maptive
First on the list is Maptive, a cloud and web-based mapping software catering specifically to external sales teams seeking enhancements in territory management and routing efficiency. Leveraging data such as total sales figures or average sales per area, this platform enables users to categorize geographical regions by their economic significance. Moreover, Maptive seamlessly integrates its own demographic and geographic data, offering invaluable insights to sales leaders and representatives. With this information, sales teams can proactively concentrate their efforts on high-probability sales areas, optimizing their overall effectiveness in driving sales success.
2023 reviews also highlight the platform's incredible speed in loading and geocoding addresses and the ability of the heat map functionality to gain further insights.
Google Maps
Google Maps and Google Earth are essential mapping technologies that we rely on daily. Google Maps assists us in finding locations, while Google Earth offers a captivating way to explore our planet. Google Earth's development involved the creation of a 3D interface that enables users to zoom in and scrutinize specific areas. The exceptional visualization capabilities of Google Maps and Google Earth result from the integration of KML data, allowing the overlaying of personalized visual data onto 3D mapped views.
Although a recent addition from Google, the integration of KML data has since become an invaluable tool for showcasing tailor-made maps on websites.
Tableau
Tableau and its public counterpart, Tableau Public, offer diverse choices, encompassing a desktop application, server-based solutions, online hosting, and a no-cost public edition. It boasts extensive data import alternatives, spanning from CSV files to Google Ads and Analytics data to Salesforce datasets.
When it comes to generating output, Tableau provides various chart formats and the capability to create maps. This empowers designers to craft color-coded maps that effectively present geographically significant data, offering a more digestible format than traditional tables or charts. For those seeking a potent tool to craft data visualizations suitable for various contexts, Tableau's public edition is freely available.
Datawrapper
Next on the list is Datawrapper, which ranks highly due to its high versatility and user-friendliness, which empowers users to create engaging and interactive maps with ease. It's particularly well-suited for individuals and organizations looking to transform their data into clear, visual narratives on a map. Datawrapper users commend the platform for having a simple and intuitive interface that caters to beginners and experienced data analysts alike. Additionally, creating a visualization is also made simple since users do not need any coding skills, an attribute further reinforcing its ease of use. Therefore, whether you're a journalist aiming to tell a compelling story with data or a business analyst seeking to communicate geographical trends, Datawrapper provides the tools to create informative and visually appealing maps.
Datawrapper boasts a number of additional features to simplify the data visualization process. Users can easily upload their datasets in formats, including CSV and Excel, as the basis for interactive maps. After uploading, the Datawrapper platform offers a selection of map templates and chart types, enabling users to customize their visualizations to suit their specific needs. Datawrapper also provides options for color coding, data filtering, and tooltips, allowing you to convey complex information clearly.
