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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
dash
jklymak
jklymak commented Jan 4, 2022

Bug summary

imshow extents cannot be expressed with units.

Code for reproduction

fig, ax = plt.subplots()
dates = np.arange("2020-01-01","2020-01-10 23:00", dtype='datetime64[h]')
ys = np.random.random(dates.size)
arr = np.random.random((10, 10))

ax.imshow(arr, extent=[dates[0], dates[1], 0, 10])

Actual outcome

Traceback (most recent call last):
  File "
thadguidry
thadguidry commented Jan 22, 2022

Proposal

Most applications typically have OK button in dialogs in a lower right corner. This has become nearly an industry norm in application designs.

OpenRefine should have a consistent design of button orders regarding Cancel / OK.

Needed Design Changes in frontend

  • Change OpenRefine's dialogs to have a consistent design of button ordering regarding Cancel / OK.
  • In dialogs
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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