Model
AI Product Image Generator
Start with a product table without images. End with the same table filled with AI-generated product photos (image_url) — ready for catalogs and UI.
AI Product Image GeneratorModel
Bar Chart with Negative Values
Visualize positive vs. negative contributions with a diverging bar chart that highlights contrast clearly.
Bar Chart with Negative ValuesModel
Value Mapping Table
Standardize inconsistent values by mapping source inputs to unified outputs for cleaner, structured data.
Value Mapping TableModel
Basket Category Summary
A two-column basket summary ranks categories by their distinct-product counts. Keep the original grouped source, including its Norwegian category names, and change the display to your category order when needed.
Basket Category SummaryModel
US Population by Age Group and State
Explore population distribution across U.S. states with age-group breakdowns for fast demographic insights.
US Population by Age Group and StateModel
Hero with Background Image and Text in Front
An atomic Datavju Model that packages a hero section as inspectable structured state, ready to load, inspect, and adapt.
Hero with Background Image and Text in FrontModel
Product List with Sidebar Filter
Browse products with instant filtering, sorting and infinite scroll—UI-ready and production-fast.
Product List with Sidebar FilterModel
Most Sold Products per Age Group
Identify top-selling products segmented by age groups to reveal buying patterns and target markets.
Most Sold Products per Age GroupModel
Product Catalog Operations Proof Model
A reusable Datavju Model that starts with public catalog data, adds inventory and pricing review rows, then builds a Transform-backed review queue and row-inspection workspace.
Product Catalog Operations Proof ModelModel
Article Writer
Build an article from a clear brief and source pack. Compare section proposals, keep agreed prose and review the complete draft before handing over clean copy. Includes a worked article, a reading Page and Agents to write, revise and reset your work.
Article WriterModel
Markdown Reference
Use a static Guide, mutable Workspace, and two purpose-built Agents to run and verify a complete Markdown lifecycle: create, read, full-source update, persisted verification, exact deletion, reset, and idempotent rerun.
Markdown ReferenceModel
View Reference
Explore six illustrative accounts, save your preferred filters and ranking, and copy selected accounts for follow-up.
View ReferenceModel
Viz Capability Reference
Explore six fictional accounts, their USD 530,000 total and a revenue summary you can publish. Run builds the example, Change adjusts its presentation, and Reset returns to the included source.
Viz Capability ReferenceModel
Combine First and Last Name
Combine two CSV name columns in the order and format you choose. Inspect the saved result, keep your source data, and download names for reuse. Includes an example, business Definitions and Run, Change and Reset Agents.
Combine First and Last NameModel
Product Catalog Exception Queue
Find products with missing details, invalid prices, inactive stock or outdated catalog entries in one prioritized review queue.
Product Catalog Exception QueueModel
Replace Spaces in SKU Names
Turn spaces in the included SKU names into hyphens while preserving stock values. Change the separator to an underscore in the same reusable result.
Replace Spaces in SKU NamesModel
Truncate Dates to Month Start
Transforms ISO dates in orders.csv to the first day of their month in a new month_start column, retaining the original data and direct source lineage.
Truncate Dates to Month StartModel
Uppercase Product Codes
Convert codes from the included products CSV to uppercase in the existing code column. Keep product names unchanged by default, with an option to lowercase them in the same result.
Uppercase Product CodesModel
Count Name Characters
Count the characters in each name from the included contacts CSV. Keep names and emails alongside the new count, and optionally add an email-length column to the same result.
Count Name CharactersModel
Extract Email Domain
Extract email domains from contacts.csv into a new domain column while retaining name and email. Preserve case by default, optionally lowercase domains, and reuse the existing Transform across runs.
Extract Email DomainModel
Trim Whitespace from Names
Trim leading and trailing whitespace from CSV names while preserving original columns and internal spacing. The existing Transform can be updated to collapse repeated spaces, reused on reruns, and cleanly reset.
Trim Whitespace from NamesModel
Extract Year from Dates
Extract the first four characters of the included ISO date strings into a year column. Keep event and date fields, and optionally show year and month in that same output column.
Extract Year from DatesModel
Split Full Name into First and Last Name
Split the included names into first_name and last_name while retaining the full name and email. The example expects exactly two name parts separated by one space.
Split Full Name into First and Last NameModel
Profit and Loss by Category
Compare revenue minus cost for six categories across three sample months. Positive, negative and zero results remain visible, with a month selector and an option to rank losses first.
Profit and Loss by CategoryModel
Monthly Actual vs Budget
See Actual and Budget side by side across twelve sample months, for all business units and one selected unit. Inspect saved variances and switch to latest-month-first ordering.
Monthly Actual vs BudgetModel
Supplier Revision Destination Review
Compare complete before-and-after supplier snapshots. See added, removed, changed and ambiguous product observations, with separate impacts on illustrative Trade and Web requirements.
Supplier Revision Destination ReviewModel
Inventory Order Packs
Compare inventory with stock targets, calculate shortages and round purchases up to whole packs. Review a six-item purchasing plan, keep zero-order items visible and download the same quantities as CSV.
Inventory Order PacksModel
Customer Help Centre
A readable twelve-article example groups answers into Orders, Delivery and Returns. Customers can open an article directly and use clear navigation to return to its topic or the help centre.
Customer Help CentreModel
Retail Sales Across Channels
Combine the included shop orders into one EUR sales overview with headline totals, channel and daily charts, an order table and CSV download. Focus the whole report on in-store sales with Change.
Retail Sales Across ChannelsModel
Meeting Setup Planner
Plan a meeting room for 1–40 attendees with a chosen layout, presentation equipment and a live setup brief. Includes room access guidance and a reusable setup agreement. Choices support planning, not booking or approval.
Meeting Setup PlannerModel
Supplier Catalog Delivery
Trim supplier SKU whitespace, retain the cleaned SKU and add an EU destination code. Inspect or download the prepared catalog, then switch its suffix to US without changing the source.
Supplier Catalog DeliveryModel
Role-Based Onboarding Plans
Maintain Office, Remote and Contractor onboarding from one shared instruction library. Give starters clear steps and team responsibilities, with shared edits reflected when the published guide is next opened or refreshed.
Role-Based Onboarding PlansModel
Audience Gender Distribution
A native doughnut chart and matching text show the included synthetic Male/Female audience split. The result uses numeric shares, with a demonstrated change from 55%/45% to 60.5%/39.5%.
Audience Gender DistributionModel
Worklog Dual Breakdown
Two independent summaries show hours by project and by day. Change allocation to people while preserving the daily summary, including entries with zero hours.
Worklog Dual BreakdownModel
Inspection Reading Spread
Summarize reading count, minimum and maximum by site from the included JSON. Keep zero and negative readings in the analysis, and optionally add the arithmetic mean.
Inspection Reading SpreadModel
Top Performing Marketing Campaigns
Rank campaign and channel combinations by conversion rate alongside conversion count. The sample dashboard includes totals, two ranked charts, a detailed result table and CSV download.
Top Performing Marketing CampaignsModel
Refunds by Sales Channel
Normalize channel labels and summarize refund amounts with return counts. A readable summary explains the totals, including returns with a zero refund, and Change adds a reason breakdown.
Refunds by Sales ChannelModel
Pad Locker Codes to Four Characters
Pad the included locker codes on the left with zeros to four characters. Keep owner names unchanged and switch the requested width to six characters when needed.
Pad Locker Codes to Four CharactersModel
Add Country Code to Phone Numbers
Create an international-phone column from the included contacts CSV. The example adds +47 followed by a space, preserves names and source numbers, and can switch the prefix to 0047.
Add Country Code to Phone NumbersModel
Categories and Products reference
A synthetic example links products to categories using tenant, region and category code together. Included Definitions explain the fields and keys, while the Model’s Agents create and maintain the native tables.
Categories and Products referenceModel
Demand Composition Over Time
Explore Online, Store and Partner orders with a stacked area chart, native date and channel controls, and CSV download. Switch between absolute counts and percentage composition without inventing missing demand.
Demand Composition Over TimeModel
Lowercase Email Addresses
Normalize the included contact emails by removing surrounding whitespace and converting them to lowercase. Keep names and the original two-column structure, with an option to switch email case.
Lowercase Email AddressesModel
Append Region Suffix to SKUs
Append -EU to each included SKU in a new regional_sku column. Keep the source SKU and product name, or change the same result to use -US.
Append Region Suffix to SKUsModel
Revenue and Orders Trend
Compare Online and Store revenue and order counts over irregular sample dates. Date and channel controls filter both charts, while missing revenue remains a gap and recorded zeros remain observations.
Revenue and Orders TrendModel
Channel Assortment Reconciliation
Compare intended assortment with supplied channel-listing observations. Distinguish missing required listings, explicit exclusions, inactive listings and ambiguous keys without changing any sales channel.
Channel Assortment ReconciliationModel
Supplier Commitment Evidence Review
Review open order lines using original commitments, revised promises and receipt observations. Keep history visible and distinguish outstanding quantity from overdue quantity at an explicit cutoff date.
Supplier Commitment Evidence ReviewModel
Extract Area Code
Extract the first three characters of each included phone number into area_code. Preserve names and phone numbers, and optionally add the final four characters as line_number.
Extract Area CodeModel
Prefix Ticket Numbers with Department
Create ticket_id values such as SUP-42 from the included support tickets. Keep the original ticket numbers and subjects, and change the department prefix to OPS- in the same result.
Prefix Ticket Numbers with DepartmentModel
Regional Order Status
A regional order-status overview combines a stacked bar chart with a region-focused view. Use the region selector to inspect one region, or change the chart to side-by-side bars.
Regional Order StatusModel
Maintenance Due Window
An ordered work list selects open jobs due from today through day seven, including zero-minute jobs. Keep all source columns and optionally include overdue work in the same saved list.
Maintenance Due WindowModel
Combine City and Country
Add a location column to the included offices CSV, such as “Oslo, Norway”. Keep the original city and country fields and change the separator when needed.
Combine City and CountryModel
Top Products by Revenue
Compare the complete product ranking with a selected region using readable horizontal bars. The included synthetic USD sales support switching the same report from revenue to units sold.
Top Products by RevenueModel
Extract Order Prefix
Add an uppercase prefix from the first three characters of each included order number. Keep the full order number and amount, and switch to four-character prefixes when needed.
Extract Order PrefixModel
Service Ticket Resolution Mix
Compare resolved, escalated and unresolved tickets for four sample teams. Percentage stacks show the mix, a month selector focuses the comparison, and Change switches to ticket counts.
Service Ticket Resolution MixModel
Product Catalog with Dynamic Attributes
A small fictional catalog brings product information, ERP SKU facts and variant attributes into one derived view. Reuse shared attribute definitions while keeping shoe sizes, phone storage and boolean values correctly typed.
Product Catalog with Dynamic AttributesModel
Model–Attribute–Value (MAV) Data Model
A minimal three-table example separates reusable attributes, attribute models and entity values. Basic and Measured records share meanings while allowing different required fields.
Model–Attribute–Value (MAV) Data ModelModel
Regional Sales and Product Mix
A sales dashboard combines revenue and unit totals, product charts, a Region × Product pivot table and CSV download. Add salesperson detail beneath each region without changing the headline totals or original charts.
Regional Sales and Product MixModel
Supplier Delivery Report
Summarize supplier deliveries with a readable report and saved data. Shortages are calculated per delivery, so an over-delivery cannot cancel another delivery’s missing units.
Supplier Delivery ReportModel
Shipment Load Share
Keep individual shipments visible while adding their partition weight and percentage share. Start with route loads, then switch to vehicle loads without losing shipment detail.
Shipment Load ShareModel
Contacts per Email Domain
Turn a contact list into domain totals while keeping each contact's name and email available for inspection. Download the contact details and totals for further analysis.
Contacts per Email DomainModel
Total Spend per Customer from a JSON Export
Sum order amounts by customer and add the customer total to each original order row. Keep order-level detail, or switch the same output column to an order count.
Total Spend per Customer from a JSON ExportModel
CSV Reference
CSV Reference provides a clear, reusable guide to working with CSV data in a Datavju Model. Use it to understand expected data structure, support consistent validation, and prepare factual reference content for publication.
CSV ReferenceModel
Transform Reference
A portable reference Model for deterministic Transform pipelines: normalize values, calculate fields, extract dates, filter rows, aggregate by category, and preserve identity behavior.
Transform Reference