What are Data Widgets?
Transforming data into an effective visualization (any kind of chart or graph) is the first step towards making your data work for you. You can do that in a TapClicks Dashboards by selecting the Data Widget option on your Dashboard.
How to Create a Data Widget
For information on creating a data widget, please refer to How to Create Widgets.
When Should You Use Each Data Widget Visualization Type?
Below we make recommendations for when to use each type of visualization:
- Big Number
- Data Grid
- Bar Chart
- Line Chart
- Combo Chart
- Pie Chart
- Funnel Chart
- Gauge Chart
- Geo Chart
- Bubble Chart
Big Number
Sometimes you just want a big overall number for specific metrics. Big numbers will give you the overall totals of what you are interested in as a quick overview. Visually, big numbers are great eye-catchers.
When to use Big Number:
- The best way to utilize big numbers is for a top-view look at your metrics.
- Examples: displaying the total number of followers, number of likes, number of clicks, or number of impressions.
Also consider:
- Including big numbers at the top of your dashboard is one of the best ways to have your clients see totals for their time frame.
Plot Types:
- Multi-Metric: Displays multiple metrics in a single big number visualization.
- Comparison: Compares one metric to the previous month.
- Sparkline: Includes a small line chart within the big number to show trends.
Data Grid
Data Grid is the best choice when your data needs to be displayed in a table. While less visual than other widget types, there are times you want to display all the data and the Data Grid is perfect for that.
When to use Data Grid:
- The best way to display data that requires both row and column series.
- Examples: displaying marketing metrics like clicks and CPC for several clients at once.
Also consider:
- There are many ways to visually enhance the table like grouping columns by color, applying color-based logical conditioning to cells, and turning each column into a heat map.
Plot Types:
- Heat Map: Applies color gradients to cells based on their values.
- Conditional Map: Uses color coding to highlight specific conditions.
- Grouped Columns: Organizes columns into groups for better visual clarity.
- Embedded Sparklines: Includes small charts within cells to show trends.
Bar Chart
Bar charts are also one of the most common ways to visualize data. It's quick to compare information, revealing highs and lows at a glance. Bar charts are especially effective when you have numerical data that splits nicely into different channels so you can quickly see trends within your data.
When to use a Bar Chart:
- A good way to compare data across channels.
- Examples: a volume of likes, comments, and shares or website traffic by origination site.
Also consider:
- Include multiple bar charts and group them next to one another on your dashboard. This helps the viewer quickly compare related information instead of flipping through a bunch of spreadsheets or slides to answer a question.
- Use stacked bars or side-by-side bars. Displaying related data on top of or next to each other gives depth to your analysis and addresses multiple questions at once. You can simply do this by selecting the stacked bar chart option.
Plot Types:
- Clustered: Displays bars grouped together by category.
- Stacked: Shows parts of a whole by stacking bars on top of each other.
- Layered: Overlaps bars for a more compact view.
- Lollipop: Combines a bar and a point for a minimalist look.
- Radial: Displays bars in a circular layout.
Line Chart
Line charts are one of the most frequently used chart types. Line charts connect individual numeric data points. The result is a simple, straightforward way to visualize a sequence of values. Their primary use is to display trends over a period of time.
When to use a Line Chart:
- Use to view trends in data over time.
- Examples: engagement growth over a monthly period, website page views during a month, and revenue growth by quarter.
Also consider an Area Chart:
- Shade the area under the lines. When you have two or more line charts, fill the space under the respective lines to create an area chart. This informs a viewer about the relative contribution that line contributes to the whole. This option can be selected in the Line Chart Options section.
Plot Types:
- Stacked: Layers multiple lines on top of each other.
- Area: Fills the area under the lines for visual emphasis.
Combo Chart
To emphasize different types of information in a chart, you can combine two or more chart types. For example, you can combine a bar chart with a line chart for an instant visual effect that might make the chart easier to understand. Visually, you can see two charts in one.
When to use a Combo Chart:
- You should utilize combination charts when the range of values for different data series in your chart varies widely, or when you have mixed types of data. This way, you can plot one or more data series from a different chart type on a secondary axis.
Also consider:
- Your metrics should be related to one another and one metric's scale does not overshadow your second metric. For example, if you utilize a metric whose scale is in the thousands and a metric in the hundreds, you will be limited in seeing the correlation.
Plot Types:
- Clustered: Displays bars grouped together by category.
- Stacked: Shows parts of a whole by stacking bars on top of each other.
- Layered: Overlaps bars for a more compact view.
Pie Chart
Pie charts should be used to show relative proportions – or percentages – of information. Pie charts are one of the most commonly misused chart types. If you are trying to compare data, leave it to bars or stacked bars. Don’t ask your viewer to translate pie wedges into relevant data or compare one pie to another. Key points from your data will be missed when the viewer has to work too hard.
When to use a Pie Chart:
- Use them to show proportions.
- Examples: percentage of budget spent on different campaigns, demographic channels from a survey, breakdown of video view percentage.
Also consider:
- Limit pie wedges to six. If you have more than six proportions to communicate, consider a bar chart. It becomes too hard to meaningfully interpret the pie pieces when the number of wedges gets too high.
Plot Types:
- Donut Chart: A variation of the pie chart with a hole in the center.
Funnel Chart
The funnel chart is used to visualize the change and reduction of data as it passes from one phase to another. Data in each of these phases are represented as different portions of the whole process from start to end.
When to use a Funnel Chart:
- If you have data that tracks people's usage from a starting point to a completion point, funnel charts will be your best way to visualize how far a user progresses to completion.
- For example, the top of the funnel illustrates all the users coming to your site. However, you care about how many of those users make it to the checkout page to submit an order. Funnel charts are a great way to track progress to a completion point so you focus on where people get lost in transition. You can then strategically plan to maximize your completion goals.
Plot Types:
- Pyramid: Represents stages in a pyramid shape.
- Pictorial: Uses icons to represent data stages.
Gauge Chart
Gauge Charts should be used to show progress against some upper limit during a well-defined time period like a month or year. It is used to visually "gauge" progress.
When to use a Gauge Chart:
- Use these to display progress.
- Example: display the number of page views, month-to-date, against the monthly page views goal.
Also consider:
- Gauge charts also display current period progress and prior period progress.
Plot Types:
- Multi-Metric: Shows multiple metrics within the same gauge.
Bubble Chart
Bubble charts provide a dynamic three-dimensional visualization, leveraging X and Y axes for two dimensions and bubble size for a third, facilitating simultaneous comparisons of complex datasets.
When to use a Bubble Chart:
- To illustrate relationships and variances among multiple data points in a single chart.
- To track changes over time by plotting data points with time on one axis, a numeric variable on another axis, and bubble size representing a third variable. This is particularly useful for identifying growth rates, market trends, or changes in customer behavior.
Also consider:
- A bubble chart must have three dimensions to visualize.
- Leverage bubble sizes and colors for emphasis.
- The order of selected metrics in a Bubble Chart matters: choose the x-axis first, followed by the y-axis, and then the bubble size.
Geo Chart
Geo charts enable the effective visualization of geographic information on maps. As a specialized chart type, Geo Charts become available only after selecting data views or metrics related to geographic information and are not accessible from the top navigation by default.
When to use a Geo Chart:
- Use for displaying data with geographical components.
- Examples: identifying high-performing sales regions, and analyzing marketing engagement by county.
Also consider:
- Geo Data is only available with specific data sources and views.
- Adjust map layers and opacity for a cleaner visualization to highlight key geographic insights.
Plot Types:
- Heat Map: Uses color gradients to represent data intensity on a map.
- Bubble Map: Displays data points as bubbles on a map