Data Explorer

this feature is currently in alpha be one of the first customers to try it! please share any feedback with the charthop team how to setup a alpha feature contact charthop support or your csm if you have one they can activate the feature for you read below for setup instructions and context on how the feature will work data explorer data explorer is a new way to explore data in charthop with a full screen experience and interactive options to choose fields, categories, date range, and filters data explorer is a powerful way to gain insights quickly to access data explorer, first ensure that it is active in the account and the desired user is selected for access it is recommended to enable this for only users that have access to team or department data as users with no direct reports and no admin access will not find the charts very useful once it is enabled, data explorer is found in the primary left menu sidebar, appearing below dashboards timeseries chart types area chart area charts show how values change over time, with shaded regions that help highlight trends, patterns, and cumulative totals they're ideal for tracking growth, comparing categories, and visualizing part to whole relationships in your data line chart line charts are perfect for showing trends over time they connect data points with a continuous line, making it easy to spot changes, patterns, and comparisons across one or more metrics stacked chart stacked charts break down totals over time by category, letting you see both overall trends and how individual segments contribute they’re great for visualizing composition and change across multiple groups in a single view table tables present your data in a clear, structured format—ideal for viewing exact values, comparing details across rows and columns, and exporting for deeper analysis best used when precision matters non timeseries chart types new! new! bubble chart bubble chart is a new chart type introduced with data explorer bubble charts let you compare people across three data points at once—using the x and y axes for two variables, and bubble size to represent a third they're great for visualizing relationships, spotting outliers, and understanding distribution across categories enabled with the color option horizontal bar chart bar charts make it easy to compare values across categories each bar represents a data point, so you can quickly spot differences, rank items, and highlight trends across groups pie chart pie charts show how a whole is divided into parts each slice represents a category’s share, making it easy to visualize proportions at a glance multiple pie charts let you compare part to whole relationships across different groups they’re useful when you want to see how proportions shift between segments over time or across categories single metric single metrics highlight one key number—fast they’re great for calling out totals, kpis, or any standout value you want to keep front and center table crosstab crosstab tables let you break down data by two dimensions to quickly compare values across categories ideal for spotting patterns, drilling into totals, and answering "where" and "who" questions in your data vertical bar chart vertical bar charts make it easy to compare values across categories using columns they’re great for showing differences, ranking items, and visualizing changes over time or across groups additional features date range enables you to choose from a multiple of data options time slider (for non timeseries) lets you move along the timeline of the organization to see the chart at different points in time filter give you access to charthop's powerful filtering capabilities including the ability to filter using charthop's carrot query language aka cql advanced options introduces the ability to create the chart with a carrot expression as well as providing access to additional options based on the chart type copy to dashboard button lets you take the current chart and configuration and add it to a dashboard