Clone our sample reports on topics ranging from forecasting and A/B testing to building sales funnels and heat maps. Then take them for a spin with your own data.
Find the best way to visualize your data—whether it's a starburst chart, a word cloud, or a heat map. Mode's HTML editor allows you to customize built-in charts as much—or as little—as you want.
- Creating Histograms using R: A guided walkthrough of how to create a histogram using R.
- Creating Horizontal Bar Charts using R: A guided walkthrough of how to create a horizontal bar chart using R.
- Creating Chart Annotations using Matplotlib: A guided walkthrough of how to create chart annotations using the matplotlib python library.
- Creating Histograms using Pandas: A guided walkthrough of how to create a histogram using the pandas python library.
- Creating Horizontal Bar Charts using Pandas: A guided walkthrough of how to create a horizontal bar chart using the pandas python library.
- Zipcode choropleth map: Thematic maps in which areas are shaded based on the prevalence of a particular variable.
- Bullet chart: Great for measuring progress toward a set of goals.
- Chart annotations: Annotations are helpful for showing when key events occurred, especially when they have a noticeable impact on the data.
- Chart heights: Sometimes it makes sense to change the heights of charts in your report.
- Choropleth map: Thematic maps in which areas are shaded based on the prevalence of a particular variable.
- Force-directed graph: Visualize connections between objects in a network. Force-directed graphs can help uncover relationships between groups that may not be obvious otherwise.
- Funnel chart: Helpful for visualizing a flow of things (users, people, organizations, etc.) through a sequential process, such as the sales pipeline.
- Geographic heat map: An interactive way to identify where something occurs, and demonstrate areas of high and low density.
- Google Maps with markers: Pin locations using Google Maps to visually tie your geo-data to specific addresses.
- Heat map: Effective at communicating high and low periods for a metric. You might use heat maps to show how traffic to your site or usage of your product changes over time.
- Hive plot: Similar to force-directed graphs, a hive plot shows how objects in a network are connected, with a more orderly, clean visualization.
- Horizontal bar chart: Great for presenting a long list of results that would become crowded if displayed vertically.
- Links in Big Number charts: Turning Mode's Big Number charts into links makes it easy for your audience to explore the underlying factors impacting the result.
- Network matrix: A structured, easy-to-read way to show how objects in a system are related to one another.
- Sparklines in Big Number charts: Adding a sparkline to a Big Number chart shows your audience how the metric has performed over time.
- State choropleth map: Great way of showing how a measurement varies across a geographic area, in which areas are shaded based on the prevalence of a particular variable.
- Sunburst chart: A way of illustrating the flow of users through a complex system.
- Word cloud: Quickly identify the most common terms from a dataset of free-form text.
- World choropleth map: A thematic map in which areas are shaded based on the prevalence of a particular variable.
Want to add images to your tables? Use Comic Sans? Tweak and tune Mode's standard tables with straightforward HTML changes.
- Dataframe Styling using Pandas: A guided walkthrough of how to use the pandas python library to style dataframes.
- Conditional formatting: Shade table cells on a gradient, or cells with values that fall above or below a given threshold to quickly spot outliers or trends.
- Images in tables: Adding images to your table can be a nice touch, especially when used in conjunction with custom styled tables.
- Links in tables: Add links to table cells for a seamless experience navigating between reports and other URLs.
- Pivot table: Filter and group results without making any updates to the underlying SQL.
- Table styles: Style your tables, so reports you share adhere to brand guidelines and look sharp.
- Totals at the bottom of a table: Once you've added a table to your report, you can integrate a totals row at the bottom.
A Mode report brings together tables, charts, and text to tell your data's story in one cohesive package.
- Forecasting in Python with Prophet: A guided walkthrough of how to use the Prophet python library to solve a common forecasting problem.
- Forecasting in R with Prophet: A guided walkthrough of how to use the Prophet R library to solve a common forecasting problem.
- Parameters with multiple options: Allow your audience to easily interact with the data with parameters that allow your users to enter in multiple options in the form of comma-separated values.
Create insights at a glance with custom dashboards that make your data sing. Mode's HTML editor lets you customize the look and feel to fit your business.
- Segment Cross-Domain Dashboard: E-Commerce: E-commerce retailers can track how visitors move across domains to find out which products have the most pull for these audience segments.
- Segment Cross-Domain Dashboard: Publisher: Publishers can track how visitors move across domains and what content is most popular with those audience segments.
- Intercom dashboard: Create a dashboard of your Intercom customer support data in Mode, surfacing insights into daily conversation volumes, service levels, and reassignment rates.
- Shippo dashboard: Create a dashboard of your Shippo data in Mode, surfacing insights into shipment volumes, costs, and success rates.
Looks like you've got a thing for cutting-edge data news.
So do we. Stay in the know with our regular selection of the best analytics and data science pieces, plus occasional news from Mode. Sign up here and we'll keep you posted:
Thanks! Keep an eye on your inbox for the next newsletter!