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Data visualization

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.

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grafana
superset
rumbin
rumbin commented Jan 31, 2022

The Mixed Time-Series chart type allows for configuring the title of the primary and the secondary y-axis.
However, while only the title of the primary axis is shown next to the axis, the title of the secondary one is placed at the upper end of the axis where it gets hidden by bar values and zoom controls.

How to reproduce the bug

  1. Create a mixed time-series chart
  2. Configure axi
dash
jklymak
jklymak commented Feb 4, 2022

It was decided in the dev call today that we want to deprecate arrow() because of its awkward dependence on the axis scales. ...

As an alternative, we want to introduce a similar replacement vector(x, y, dx, dy, ...) where the parameters are still in data space, but the arrow shape is not tied to the data. This should be implemented based on FancyArrowPatch which is also the basis for `an

wetneb
wetneb commented Jan 30, 2022

The variable columnNames is not available in Jython, whereas it is available in GREL. It is useful to iterate over all cells in a row, for instance with this expression:
forEach(row.columnNames,cn,cells[cn].value)
(see https://groups.google.com/g/openrefine/c/gV0bLUz7p7o)

Proposed solution

We could make this variable available in Jython too.
It would also be good to [document](https

Jeernej
Jeernej commented Aug 22, 2021

Hi!

My suggestion/request is simple. When filtering the data, sometimes one needs to use the edge values of the data distribution in the filter histogram.

For example, one wants to choose the data of an hourly distribution (from 0:00 to 24:00) for the time between 22:00 and 6:00 in the nighttime and discard the data from 6:00 till 22:00 during the daytime.

So, when filtering the data with

Data-Science-For-Beginners
Open

Tests

leeoniya
leeoniya commented Dec 14, 2019

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

Created by Charles Joseph Minard

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