Bring data to life with SVG, Canvas and HTML.
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Updated
Jul 30, 2021 - JavaScript
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Data visualization is the visual depiction of data through the use of graphs, plots, and informational graphics. Its practitioners use statistics and data science to convey the meaning behind data in ethical and accurate ways.
Bring data to life with SVG, Canvas and HTML.
Apache ECharts is a powerful, interactive charting and data visualization library for browser
chart 3 dot menu is behind the chart title panel in chart maximize mode
The HTML5 Creation Engine: Create beautiful digital content with the fastest, most flexible 2D WebGL renderer.
The simplest, fastest way to get business intelligence and analytics to everyone in your company
We currently print a warning as shown below when a user sets both a widget default value in the function defining the widget as well as a widget value via the widget's key in st.session_state
While we certainly want to do this by default since doing both is not recommended, we should provide a
In recent versions (can't say from exactly when), there seems to be an off-by-one error in dcc.DatePickerRange. I set max_date_allowed = datetime.today().date(), but in the calendar, yesterday is the maximum date allowed. I see it in my apps, and it is also present in the first example on the DatePickerRange documentation page.
E
The new matplotlib.colors.make_norm_from_scale helper dynamically generates a norm class from a scale class. Currently, in the codebase, it is only used as a decorator to create "toplevel" classes (e.g., it is used to generate LogNorm from LogScale, etc.), but it can also be used within other functions to dynamically generate a norm class based on a user-given arbitrary scale (
Open-source JavaScript charting library behind Plotly and Dash
A curated list of awesome big data frameworks, ressources and other awesomeness.
The y-axis ticks supports the rotated option, but the doc is missing.
I haven't checked whether other options are missing.
WebGL2 powered geospatial visualization layers
Statistical data visualization in Python
I would like to import a .zst or .zstd file but currently that file type is not recognized to be imported by OpenRefine.
Perhaps using Apache Commons Compress (we already have usage in ImportingUtilities.java)
https://commons.apache.org/proper/commons-compress/examples.html#Zstandard
Allow importing the .zstor .zstd file from my local computer, as well as fr
Creative Coding: Generative Art, Data visualization, Interaction Design, Resources.
Data Visualization Components
Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.
A web interface to create custom vector-based visualizations on top of RAWGraphs core
Visualizations for machine learning datasets
When entering a repository path, users should be able to hit TAB for autocomplete, like in bash.
it's becoming more time-consuming and error-prone to manually re-test all the demos following internal refactorings and API adjustments.
now that the API is fleshed out a bit, it's possible to test a large amount of code (non-granularly) without having to simulate all interactions via Puppeteer or similar.
a lot of code can already be regression-tested by simply running all the demos and val
React friendly API wrapper around MapboxGL JS
Reusable JavaScript library for creating sketchy/hand-drawn styled charts in the browser.
Created by Charles Joseph Minard
This is kind of a follow up to #32677 and the PR #34762.
In #34762 we improved the test data source implementation by checking the body of the response from Tempo. The Tempo team is not comfortable making the body of a 404 response part of our stable API, so instead we are currently adding a separate endpoint specifically for testing:
/api/echo(grafana/tempo#714).