🎨 Widget Gallery

Postcode Clicks

This is a tabular data visualization showing "Postcode Clicks" performance metrics. The table displays three columns:

campaigns

Profiles by Campaign x Event-Type

Count profiles that had an event on a campaign

Campaign Postcodes

Campaigns and postcodes of the registrations engaging with them

campaign events

Count campaign events

Weekly Campaign events

This is a table visualization showing weekly email campaign performance data.

Auto Triggered by Venue and Zone

Count the regos that triggered a campaign in a zone

campaigns

Gender Composition

Percentages of Males and Females

Campaign Clickers by Gender (postcodes 5000,5082,5085,5066,5067)

This is a tabular data visualization showing campaign click data segmented by gender across specific postcodes (5000, 5082, 5085, 5066, 5067).

Campaign Clicks

This is a table visualization showing campaign click performance data. It displays:

Auto Campaign Clicks by PageType

Clicks by Portal

Clicks by URL

This is a table visualization showing "Clicks by URL" data. It displays:

Auto Campaign Clicks by Venue

Day Of Week Clicks

This is a table visualization showing "Day Of Week Clicks" data with two columns: Date (days of the week) and Count (number of clicks).

Females

This is a simple metric card or KPI widget displaying a single data point. The visualization shows:

Friendly labels

User profiles friendly labels for enum/boolean values

15-Minutely Signups

This is a time-series table visualization showing 15-minute interval signup data for Saturday, September 13, 2025.

5-Minutely Signups

This is a time-series data table showing 5-minute interval signup data for Saturday, September 13, 2025.

Signups by Part of Week

This is a simple data table visualization showing "Signups by Part of Week."

Signups by Day of Week

This is a table visualization showing "Signups by Day of Week" data. It displays signup counts for each day of the week in a simple two-column format with days listed vertically and corresponding signup numbers on the right.

Daily Signups

This is a table visualization showing daily signup data over a one-week period in September 2025.

Signups by Hour of the Day

This is a two-column data table showing "Signups by Hour of the Day."

Hourly Signups

This is a tabular data visualization showing "Hourly Signups" for Saturday, September 13, 2025.

Minutely Signups

This is a time series table showing "Minutely Signups" data from Beonic Insights.

Signups by Month of the Year

This is a data table visualization showing "Signups by Month of the Year" with two columns: Month and Signups.

Monthly Signups

This is a tabular data visualization showing "Monthly Signups" data in a simple two-column format.

Weekly Signups

This is a table visualization showing weekly signup data over time from January to March 2025.

Yearly Signups

This is a simple data table visualization showing "Yearly Signups" over a three-year period. The table displays:

Gender Visitors

This is a data table visualization showing gender demographics of visitors across two venues. The table displays visitor counts broken down by three gender categories (Female, Male, Other) for Chevron Renaissance and MacArthur Central.

Postcode Numeric Histogram Table (inline buckets)

This is a histogram table showing the distribution of postcode numeric values organized into inline buckets (100-unit ranges from 5000-5799).

visits

This is a tabular data visualization showing visitor counts by venue and postcode. The table displays:

visits

This is a tabular data visualization showing venue visit counts. The widget displays:

Primary Zone Visits

Zone visit counts

Primary Zone Visits

Zone visit counts

Vists by Age Range (inline buckets)

Creates a histogram of user visit by age range. The histogram's buckets and counts are visualised as a bar chart. The buckets are default (yearly) age ranges.

Visit Duration (minutes) Histogram Bar Chart

This is a histogram bar chart showing the distribution of website visit durations measured in minutes. The chart displays visitor counts (y-axis, ranging from 0 to 40k) across different time duration bins (x-axis).

Visit Time of Day Histogram Line Chart

This is a line chart showing website visits over time periods. The visualization displays:

Primary Zone Visit Duration (minutes) Histogram Bar Chart

This is a histogram bar chart showing the distribution of Primary Zone visit durations in minutes. The chart displays visitor counts across different time intervals:

Monthly Visits

This is a tabular data visualization showing monthly website visits from January to September 2025.

OS Category (Android & Apple)

This is a cross-tabulation table (pivot table) showing mobile device usage data across two shopping venues.

Sessions

This is a table visualization showing session data by venue.

Day of Week WiFi Sessions

This is a data table visualization showing WiFi session counts by day of the week.

WiFi Session Data Usage (MB) Histogram Bar Chart

This is a histogram bar chart showing the distribution of WiFi session data usage measured in megabytes (MB).

WiFi Session Duration (minutes) Histogram Bar Chart

This is a histogram bar chart showing the distribution of WiFi session durations measured in minutes. The chart displays 8 duration ranges from "0-5" minutes to "301+" minutes on the x-axis, with the number of sessions (in thousands) on the y-axis.

WiFi Session Time of Day Histogram Line Chart

This is a line chart displaying WiFi session frequency throughout the day, showing time periods on the x-axis (from 0-100 to 2100-2200) and number of sessions on the y-axis (ranging from 0 to 15k).

Monthly WiFi Session Data Usage (MB) Histogram Horizontal Stacked Bar Chart

This is a horizontal stacked bar chart showing monthly WiFi session data usage distribution across different usage ranges (measured in MB) from 2024 through December.

Monthly WiFi Sessions Horizontal Bar Chart

This is a horizontal bar chart displaying monthly WiFi sessions data. The chart shows WiFi usage patterns across different months, with each blue bar representing the number of sessions for that period.

Yearly WiFi Sessions

This is a simple data table visualization showing "Yearly WiFi Sessions" data.

Age in Years

This is a histogram (bar chart) showing the distribution of ages in years across a population.

Country And State

Count registrations by country and state

Country Calling Codes

Count registrations by County Calling Code

Device Category (with missing)

This is a pie chart titled "Device Category (with missing)" that shows the distribution of device types used to access a service or platform.

Email

Subscribed registrations with Email

ACP - Visitor AND Gender:MALE AND postcode:5000

Group registrations by Single Choice Extended Attribute answers

Single Choice Attribute

Group registrations by Single Choice Extended Attribute answers

Gender Distribution (columns, missing values)

This is a horizontal bar chart showing gender distribution data across four categories: Female, Male, Missing, and Other.

Gender Composition

Percentages of Males and Females

M

Count Male registrations

Gender Stats

Count registrations

Age In Years Histogram Columns (default buckets)

This is a horizontal histogram/bar chart showing age distribution across different age groups measured in years.

Age In Years Histogram Table (default buckets)

This is a histogram table showing the age distribution of a population across predefined age brackets (inline buckets). The visualization displays:

Age In Years Histogram Table (inline buckets)

This is a histogram table displaying age distribution data with inline bucket notation. The visualization shows:

20 to 40 Years Old Count

This is a metric card or KPI widget displaying a single key performance indicator.

Country Calling Code Histogram Table (default buckets)

This is a histogram table showing the distribution of country calling codes by numeric ranges. The visualization displays:

Postcode Numeric Histogram Table (inline buckets)

This is a histogram table showing the distribution of postcode numeric ranges and their corresponding frequencies.

Age In Years Histogram x Signup Month Table

This is a cross-tabulation table (contingency table) showing the distribution of user signups by age group and month.

Year of Birth Histogram Table (inline buckets)

This is a histogram table showing the distribution of birth years across three time periods using inline buckets.

Non-English Languages

This is a pie chart visualization showing the distribution of "Non-En Languages" (Non-English Languages) with a total of 200 data points.

List Size

Subscribed and Unsubscribed users by Marketing List (and registration status is subscribed)

Non-English Languages

This is a pie chart visualization titled "Non-En Locales" showing the distribution of different language locales or regions.

OS Category (with missing)

This is a pie chart titled "OS Category (with missing)" that displays the distribution of operating systems in a dataset.

OS Category (Android & Apple)

This is a simple data table visualization showing OS (Operating System) category distribution between Android and Apple devices.

Postcodes

Postcode

Postcodes

Count registrations by Australian Postcodes

Single Choice Attribute

Group registrations by Single Choice Extended Attribute answers

Registration Status

Registration Status

Subscribers

Opted-in Subscribers by Marketing List (and registration status is subscribed)

Suburbs

Count registrations by Australian Suburbs

Year of Birth

This is a histogram/bar chart showing the distribution of birth years from 1915 to 2011. The visualization displays:

Table

A table

Aggregate acrosss columns example

This is a tabular data visualization displaying daily sales metrics for a one-week period (November 8-14, 2021).

Aggregate acrosss rows example

This is a simple data table visualization showing daily revenue percentages over a one-week period in November 2021.

Traffic by Day

This is a vertical bar chart titled "Traffic by Day" that displays daily website traffic over approximately one month (from day 17 of one month through day 13 of the following month, spanning late September into October 2025).

Columns Across

This is a simple comparison table widget showing user segmentation data across two categories:

A Custom Metric Number

Visits by Hour of Day and Day of Week

This is a stacked bar chart showing website visits by hour of day and day of week.

Weekend, Weekday

This is a comparison table visualization showing venue performance data segmented by weekend vs. weekday periods.

displayAs demo

Display the venue country code and country name

A Number

This is a simple numeric display widget showing a single key performance indicator (KPI) value of 3,050.

10:30

This is a simple timer or time display widget showing "10m:30s" (10 minutes and 30 seconds). It appears to be a digital countdown timer or elapsed time counter with a clean, minimalist design featuring large, clear numerals on a light background with a blue border. The widget displays time in minutes and seconds format, likely used for tracking duration of an activity, meeting, or process. The timestamp "10:30" in the top-left corner suggests this may be a screenshot taken at that time.

Trend LineChart

This is a trend line chart showing data over time from day 17 through day 13 (spanning late September into October).

Total traffic

This is a Key Performance Indicator (KPI) widget displaying total traffic metrics.

A Number

This is a simple numeric display widget showing a single key performance indicator (KPI) value of 23,773. The visualization uses a clean, minimalist design with large, prominent text to highlight this metric.

New vs Return Traffic

This is a pie chart visualization showing "New vs Return Traffic" distribution.

Pie Chart

This is a simple pie chart visualization with two segments of nearly equal size. The chart displays:

Segmented Trend LineChart

This is a Segmented Trend Line Chart showing two data series tracked over time from day 17 through day 13 (likely spanning late September through mid-October).

Segment Rows

This is a data table visualization showing visitor segmentation by visitor type.