Jerry's Exploratory workshop recording from the 16 September 2022 Coffee Hour
You can import data from local and remote data files and databases ranging from .csv and Excel, JSON and varying stats formats, mySQL to MongoDB. You can import from cloud-based apps such as Google Analytics, MailChimp, Salesforce, and Twitter. There are manual data entry options as well.
For instance, one data frame can be data from a survey and another can be data from LibCal reservations. After importing your data, you can then edit and massage your data — this is called "data wrangling" in Exploratory. As such, you can also have multiple data frames of the same data set, but approaching each frame with different post-import data wrangling. Let me give you an example of data wrangling…
Once data is selected we can double check the data came through the way we desire by looking at the Summary view dashboard.
Question: What colleges are using what equipment?
Question: What year students are using our equipment and when?
Happily, Exploratory also gives you tools for reporting out your findings. The most flexible of which is what I call the data notebook.