Searching for a professional tool that deals with particular formats can be time-consuming. Regardless of the vast number of online editors available, not all of them support Raw format, and certainly not all allow you to make modifications to your files. To make matters worse, not all of them give you the security you need to protect your devices and documentation. DocHub is a perfect answer to these challenges.
DocHub is a well-known online solution that covers all of your document editing needs and safeguards your work with bank-level data protection. It works with different formats, including Raw, and helps you edit such documents quickly and easily with a rich and intuitive interface. Our tool complies with important security standards, like GDPR, CCPA, PCI DSS, and Google Security Assessment, and keeps improving its compliance to guarantee the best user experience. With everything it offers, DocHub is the most reputable way to Redo chart in Raw file and manage all of your individual and business documentation, irrespective of how sensitive it is.
After you complete all of your adjustments, you can set a password on your edited Raw to ensure that only authorized recipients can work with it. You can also save your paperwork containing a detailed Audit Trail to see who made what changes and at what time. Select DocHub for any documentation that you need to edit safely and securely. Sign up now!
hi welcome to raw graphs raw graphs is an open source data visualization tool built with the goal of making visualization of complex data easy for everyone but how does it work lets visualize for example the list of most expensive movies of all time first copy and paste your data set into raw graphs from any spreadsheet application then choose within a wide range of charts built on top of d3.js a scatterplot should work well for this data set once chart has been selected you just have to map the dimensions of your data set to the visual variables of the chart in this case I want to see the rating on the horizontal access and the production budget on the vertical access I can then map the areas of the bubbles with the box-office the color with the genre and use the name of the movie for the labels once you finish to explore and map the dimensions of the data set you can customize the visualization and export it as a vector or raster image and fine-tune it with any graphic editor go to