Untitled

100%

✓ Published2🌍 Public

Last edited Nov 16, 2021

Created on Sep 11, 2021

This visualization displays 14 days of refrigeration plant data, including room temperature, defrost water, cooling and fan runtimes, and dates. It uses Canvas API functions to manually draw grouped bar charts and a line chart, with linear gradients for bar fill effects. The code employs `createLinearGradient`, `fillRect`, and `stroke` to render the composite chart.

AI-generated description

Visualising 14 days of daily values. Gives a quick overview for cold store owner, how the refrigeration plant is doing. Also to see if theres a need to adjust the settings.

MIT Licensed

Similar vizzes

Loading thumbnail…

Untitled

This visualization displays 14 days of daily cold store data, comparing tauwasser (defrost water) values against cooling and fan operation times. The chart uses grouped bar charts on a dark canvas, with grey gradient bars for tauwasser values, blue bars for fan hours, and dark blue bars for cooling hours. A horizontal black line marks the 20-liter target threshold for tauwasser. The implementation uses the HTML5 Canvas API directly, with custom JavaScript loops and helper functions to calculate bar heights and draw the visualization, including date labels and value annotations beneath each bar.

SStrunck

83% match

Loading thumbnail…

Untitled

This interactive line chart displays temperature data in either Fahrenheit or Celsius from a CSV file, with a dropdown menu to switch between metrics. The visualization uses D3.js v5 to render SVG paths with cardinal curve smoothing, and includes a hover tooltip that reveals exact dates and values using bisector-based mouse tracking. The chart updates its y-axis domain and line paths dynamically when the metric changes, with CSS transitions providing smooth animations.

RResl411

73% match

Loading thumbnail…

Untitled

This interactive line chart displays temperature data through time, with a dropdown to switch between Fahrenheit and Celsius scales. The visualization renders multiple city temperature series as smooth cardinal curves, using D3 v5 with SVG and animated transitions. A mouse-over interaction uses a bisector to find the nearest date, displaying a vertical guide line, value labels, and colored circles for each city at the hovered position. The y-axis updates dynamically with the selected metric via a smooth transition.

RResl411

71% match

Loading thumbnail…

Untitled

This line chart displays one week of temperature in degrees Celsius in San Francisco, using data from Data Canvas - Sense Your City. It plots temperature against time, with timestamps parsed as JavaScript Date objects and temperature values converted to numbers. The visualization renders as an SVG using d3.v4’s selection, scaleTime, scaleLinear, axisLeft, axisBottom, line, and curveBasis functions, with axis labels and a title. The line path is styled with a maroon stroke, and the data is loaded asynchronously via d3.csv.

Jjl-tan

71% match

Loading thumbnail…

Untitled

This example displays a week of hourly temperature readings in San Francisco as a smooth line chart, with time on the x-axis and temperature on the y-axis. The visualization includes labeled axes, grid lines, and a title, rendered as an SVG. The code uses D3 v6 APIs such as `scaleTime`, `scaleLinear`, `line` with `curveBasis`, `axisBottom`, and `axisLeft` to map the CSV data and draw the chart, all within a React framework.

Zzhangyan560

71% match

Loading thumbnail…

Untitled

This interactive time-series chart displays a daily value over three months and lets the user switch between daily, weekly, and monthly aggregated views. It renders an SVG line chart using D3 v3, with axis labels, an orange line, and a tooltip that appears on hover over the chart area. The code aggregates data by summing values for each time unit and linearly interpolates gaps, using APIs like `d3.time.scale`, `d3.svg.axis`, and `d3.bisector`. Buttons enable the time-unit selection, and the chart updates dynamically on click.

Ffaversin17

71% match

Loading thumbnail…

Untitled

A grouped bar chart shows retrieval counts across six dates, with each date divided into five folders. Bars animate upward from zero using staggered delays and a mouseover darkens their color. The chart uses D3 v3 with ordinal and linear scales, SVG axes, and transition methods. Data is loaded from a JSON file and rendered as colored SVG rectangles with a fading legend.

LLokeyyyy

71% match

Loading thumbnail…

Untitled

This visualization presents a sequence of line charts tracking a numeric value over time, with a small multiple layout that allows for comparative scanning across different series. Built with a custom JavaScript rendering pipeline that manually draws axes and data paths onto a Canvas element, the code uses D3.js’s `d3.scaleLinear` for proportional scaling and `d3.line` for path generation, while a mouse-driven crosshair dynamically highlights the nearest data point and its coordinates. The dataset appears to be synthetic, generated procedurally within the script rather than loaded from an external file.

GGunjan Paul

70% match