1. Noise Reduction
2. Improved Efficiency
3. Customizable Filters
4. Interactive and User-Friendly
5. Seamless Integration
Step 1: Download and Include Required Libraries
Step 2: Define Your Data
The next step is to define your data with a table in HTML. You can create a table with the data you want to filter using the th and td tags. Make sure to include class names for each column to identify them easily.
Step 3: Add Slicer Code
After including the necessary libraries and defining your data, it’s time to add the slicer code. Add the following code before the closing body tag of your HTML file:
This code initializes the selectmenu function of jQuery UI to create the slicers for each column in your table. You can customize the slicer’s appearance and behavior using jQuery UI’s options.
Step 4: Filter Your Data
Filtering Data by City and Sex Columns
Filtering Data by City with Slicer
1. Define Your Filters Clearly
2. Consider Perplexity and Burstiness
3. Simplify Your UI
4. Use Precise Filters
Use precise filters to keep the dataset and the results consistent. For instance, if you are filtering data by date, use specific ranges to avoid confusion. Also, feed the slicer only the relevant dataset with the correct column arrangement to maximize the user experience.
5. Test Your Filters
Always test your filters before sharing your results with your team or audience. Test your filters using a variety of data sets, including the ones with the biggest and smallest datasets to ensure that the slicer works efficiently and consistently regardless of the size of the data.
1. Using it as a filter for large datasets
2. Displaying the slicer without giving users an option to minimize it
The slicer can take up a significant portion of screen space, which is not always necessary, and may lead to a cluttered view. Offering users an option to minimize the slicer can improve overall user experience by reducing visual distractions.
3. Not optimizing the slicer for mobile devices
Using the slicer on smaller screens, such as mobile devices, can be challenging because of their limited screen space. Not optimizing the slicer for such screens can impact user experience negatively. Therefore, it is crucial to consider mobile responsiveness while designing the slicer.
4. Using too many slicers at the same time
While using more than one slicer may seem like a useful way to create more refined searches, it can also lead to confusion and slower performance, especially when dealing with multiple large datasets. Limiting the number of slicers used per canvas is an ideal way to ensure optimal speed and ease of use.
5. Not exploring all slicer options
SLAcer.js has also been introduced as a slicer for a better experience with Chrome, where users can easily filter through datasets using visual feedback, allowing for easy access to the data needed.
Using the slicer APIs in PowerBI, users can easily get and set the state of a Power BI slicer, even on out-of-the-box Power BI visuals so that data filtering can be done in a more efficient manner.