Willow Dressel and Carla Zimowsk will be “tag-teaming” this co-presentation on data matters central to all researchers. File Management: Whether gathered directly from archives or downloaded from online sources, digital research material can often wind up in a disorganized mess on your hard drive or in the “cloud,” impossible to easily locate again. An old archivists saying claims “You don’t own it if you can’t find it!” Carla Zimowsk will focus on strategies and tools for keeping your digital research materials organized and discoverable. Data Management: More and more digital data are being used and created in the course of research, yet often little thought is given to managing this data for collaboration, future use, or preservation. Planning ahead for data management is the best way to address these needs. Willow Dressel will discuss creating data management plans and the importance of documenting your data.
Data mining, concordances, word frequencies, all these things can be done to analyze text and to display the results (which are usually also in text form). Sometimes though, these results are hard to read, track, and to see correlation and relationships between bodies of texts and words. Text visualization adds another dimension to data mining a text. You can see in a simple and fast way how many words make up a text, what words have frequencies next to other words, and analyze the overall theme of a text and its corpus. The following tools listed below will help you get started with building a word frequency list and using your text to visualize your data, for the most part, in an easy and simple manner. Continue reading →
The Juice Analytics site has posted a list of tools to help you with pulling data and visualizing the data to share with others. There is a section in the list that has open source and free tools available that can help you visualize your data. To see the list, please click on the link below: