Ultimately, when you’re able to work with strings this effortlessly, you’ll be more productive. It, for instance, allows you to sort lines alphabetically, flip the order of words is camelCase strings, swap the operands in conditional statements, increment and decrement numbers, and more. The Shifter plugin makes string manipulation easier and allows you to perform string and code manipulations through various keyboard shortcuts. When using string manipulation, you’ll, for instance, use them in conditional statements, change their case, and more. Here, string manipulation gives you a variety of ways to manipulate, sort, and work with the data. When working with data, you’ll often encounter it in the form of strings. Users also have access to an instant live preview that shows possible reference values. DataGrip makes it easy to manage multiple versions using version control systems such as Git, SVN, or Mercurial.įinally, Data Grip corrects all references within SQL statements allowing users to easily make updates if needed without having errors every time someone else updates their work on shared documents. You can even preview references inside of functions/stored procedures before making changes. They will be updated throughout the entire file automatically. It allows you to refactor tables, views, stored procedures, and other objects with ease: rename them in your code or schema files. It’s a convenient tool for database management and development. Unresolved problems are tagged using keywords, giving you the ability to fix them all up at once. It detects problematic code and gives you options to fix them. This feature is aware of everything created in your coding (even objects). Data within the row that would make more sense in a vertical arrangement can be stacked vertically, like a contact's phone, fax, and cell numbers.DataGrip is a database IDE that provides you with extended insight into how your queries work and the insights of the engine behavior, so you can make them more efficient.ĭataGrip is an IDE that helps you write SQL code faster by providing sensitive code completion. Less important data can be smaller and lighter in colour. The element that a person (not a computer or database) will likely scan by, such as a name, can be more prominent. The value of using repeaters is that users can still quickly scan values based on the consistency of your item template, but within each item, instead of a very wide row, you can have a tidier arrangement of elements and they can be given relative weighting based on size and position. I work a lot with Windows Presentation Foundation, which is infinitely flexible in terms of templating data. My job is largely about designing solutions for all the stuff that should not have been crammed into Excel in the first place. I eschew data grids entirely in my applications, and I work in an accounting center where everyone's catch-all solution is Excel. :P)Ĭharts are good for a few "columns" of data. (Incidentally if you're looking at grids, I had some recent experience with jqGrid and it wasn't terrible as JavaScript things go. I think that datagrids are often like that animated bus map wasting code on user interface while leaving too much of the data processing and extrapolation of its consequence to the user. I simply wanted an indicator that would light up and mean "leave your office now and you'll reliably make a bus without having to wait for more than 5 minutes". but watching the icons move on the map was information overload. Capture the common cases, and then you might still offer them a grid as a last resort.Īnecdotally: a city I lived in started putting GPS units in buses so you could look at a map and watch them as they moved. Then see if you can answer that question more automatically without resorting to all that raw data. I'd suggest considering the 80-20 rule, and evaluating precisely what most of your users would be trying to determine from a grid.
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