Skip to main content
100%

Gist 9514739

✓ Published0🌍 Public
Aandybak
Last edited Mar 12, 2014
Created on Mar 12, 2014

This visualization displays hire volume as an aggregate sum of booking stock quantities over time, using a bar-chart template sized at 580x200 pixels. The chart draws from a Django queryset of BookingStockItem records, filtering by the estimated dispatch date field and aggregating quantities with Django’s `Sum` function. The data is rendered on a daily interval, and the chart class extends a custom `BaseChart` with a title and chart template. The implementation relies on Django’s ORM for data retrieval and aggregation, with the visualization output presumably using a charting library within the specified template, though the code snippet does not expose the exact front-end rendering library.

AI-generated description

Similar vizzes

Loading thumbnail…

Gist 9839784

This visualization displays Django model query results for hotel bookings, distinguishing arrivals and departures for today and tomorrow through grouped bar charts. The code defines a custom `BookingManager` that filters `Booking.objects` using date-based lookups, combining departure and arrival querysets with union operations (`|`). The rendering likely uses d3.js for bar chart layout, while the data pipeline relies on Python’s `datetime` and `timedelta` calculations to segment time periods. The manager properties expose aggregated counts for each category, feeding directly into the visual representation.

Aandybak
79% match
Loading thumbnail…

Gist 9839271

This visualization shows the daily flow of bookings through a Django-based booking system, tracking arrivals and departures on the current day. The code defines a `BookingManager` that filters booking records by timestamps falling within the day’s start and end boundaries, producing two properties: `departures_today` for bookings starting today and `arrivals_today` for bookings ending today. The example demonstrates how to query and aggregate temporal data using Django’s ORM, with the `Booking` model and `models.Manager` class providing the data structure. The visualization itself is not shown in the snippet; only the data-management logic is presented, implying a chart built separately from these queried results.

Aandybak
78% match
Loading thumbnail…

Gist ff1355ec904d9b079db5

This visualization shows employee work schedules across multiple calendar years, displaying daily hiring-day values for each calendar record. It uses Django models to define the data structure, with each calendar containing 41 daily fields that represent individual day values. The code implements a force-directed layout using d3.forceSimulation to position calendar elements, and renders the visualization through D3’s data-binding and SVG path generation. The visualization maps each calendar’s yearly pattern into a compact visual form, with the model’s decimal fields providing the numeric values that drive the display.

Aandybak
70% match
Loading thumbnail…

Gist fd2387f597641c4a52a7

This visualization displays the movement of consignments over time, plotting each item’s journey from start to end location based on timestamps. The code queries logistics data with Django ORM, filtering out consignments linked to bookings with a specific status, then renders the results as a temporal flow. It uses D3.js’s `d3.forceSimulation` to position nodes representing locations and consignments, while `transition.attrTween` animates the paths between them. The rendering approach relies on SVG elements, with the data sourced from a PostgreSQL database via the raw SQL query shown.

Aandybak
70% match
Loading thumbnail…

Gist c99a8e7213158cfd1ec8

The visualization tracks consignment movements by filtering query sets for departures from and arrivals at base locations, distinguishing deliveries, collections, and items in transit. It shows the flow of goods between origins and destinations, with transit defined as the union of completed deliveries and collections. The code relies on Django’s queryset API with `Q` objects for location-based filtering, using `exclude` to isolate timed events, and combines results via set union. No specific charting library appears; the rendering approach is not visible in this snippet, focusing instead on data preparation.

Aandybak
70% match
Loading thumbnail…

Gist 8370783

This example shows a stock management interface where users can search for stock items and view their availability segments against a booking’s date range. An AngularJS controller watches the booking ID, fetches booking data via the `$resource` API, and computes a day-by-day range list. The `StockItems` factory uses `$http.get` to query the stock item search endpoint and then retrieves per-item segments for the current booking. The view displays these segments alongside the computed date labels, using AngularJS data binding to update the table dynamically.

Aandybak
67% match
Loading thumbnail…

Gist 11191339

This example shows a Django model definition for an inventory event system, mapping various event types—bookings, purchases, cross-hires, repairs, and missing items—to related database records via foreign keys. The code uses Django’s `models.ForeignKey` to link each event to its corresponding office, inventory, or booking entity, with nullable and blankable fields allowing flexible associations. It is a data-model snippet, not a visualization, and does not employ any charting or rendering libraries.

Aandybak
65% match
Loading thumbnail…

You have failed me for the final time, brain.

A booking-management interface shows inventory availability as a horizontal timeline, where each stock item displays colored segments representing stock levels across the requested hire period, with unavailable days overlaid. Users can search inventory, adjust delivery and collection dates, and add items to a secured list with pricing details. The visualization is built with AngularJS controllers and factories, using `$resource` to fetch booking data from a REST API and `$http` to load per-item segment data from a stock-item endpoint.

Aandybak
65% match