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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
kvrhdn
kvrhdn commented May 28, 2021

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).

dash
juergspaak
juergspaak commented Jun 16, 2021

When plotting plt.plot(np.ones(10), np.ones((10,0)) it raises a ZeroDivisionError, which confused me much.

Code for reproduction

import matplotlib.pyplot as plt
import numpy as np

plt.plot(np.ones(10), np.ones((10,0)))

This raises the error:

ZeroDivisionError: integer division or modulo by zero

Expected outcome

I think however, it should either r

jquartel
jquartel commented Jun 24, 2021

After loading a new file and coming to the Configure Parsing Options page, you have the ability to modify the parsing rules, which I do pretty frequently with the kinds of (mostly tsv-like) files that I get. Most frequently I need to change the "Ignore first" and "Discard initial" parameters and since I usually need both of these and since my files are large and complex enough for the preview upda

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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