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#dataWrangling

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Europe Says<p><a href="https://www.europesays.com/2042629/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">europesays.com/2042629/</span><span class="invisible"></span></a> Interview Kickstart Updates Best Technical Interview Preparation Course For Data Scientists 2025 <a href="https://pubeurope.com/tags/Data" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Data</span></a> <a href="https://pubeurope.com/tags/DataAnalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataAnalysis</span></a> <a href="https://pubeurope.com/tags/DataEngineering" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataEngineering</span></a> <a href="https://pubeurope.com/tags/DataScientists" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScientists</span></a> <a href="https://pubeurope.com/tags/DataStorytelling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataStorytelling</span></a> <a href="https://pubeurope.com/tags/DataWrangling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataWrangling</span></a> <a href="https://pubeurope.com/tags/ExploratoryDataAnalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ExploratoryDataAnalysis</span></a> <a href="https://pubeurope.com/tags/InterviewKickstart" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>InterviewKickstart</span></a> <a href="https://pubeurope.com/tags/Kickstart" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Kickstart</span></a> <a href="https://pubeurope.com/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> <a href="https://pubeurope.com/tags/professionals" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>professionals</span></a> <a href="https://pubeurope.com/tags/SantaClara" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SantaClara</span></a></p>
Data Science<p>Say goodbye to the frustrations of copying and pasting data to and from R with Datapasta from <span class="h-card" translate="no"><a href="https://fosstodon.org/@milesmcbain" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>milesmcbain</span></a></span>! Get the package now: <a href="https://milesmcbain.github.io/datapasta/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">milesmcbain.github.io/datapast</span><span class="invisible">a/</span></a> <a href="https://genomic.social/tags/DataWrangling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataWrangling</span></a> <a href="https://genomic.social/tags/Rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Rstats</span></a></p>
Alexandre B A Villares 🐍<p>"Why Python for Data Analysis?"<br><a href="https://wesmckinney.com/book/preliminaries" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">wesmckinney.com/book/prelimina</span><span class="invisible">ries</span></a></p><p>from "<a href="https://ciberlandia.pt/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Python</span></a> for <a href="https://ciberlandia.pt/tags/DataAnalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataAnalysis</span></a>: <a href="https://ciberlandia.pt/tags/DataWrangling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataWrangling</span></a> with <a href="https://ciberlandia.pt/tags/pandas" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>pandas</span></a>, <a href="https://ciberlandia.pt/tags/NumPy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NumPy</span></a> &amp; <a href="https://ciberlandia.pt/tags/Jupyter" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Jupyter</span></a>"</p>
Alexandre B A Villares 🐍<p><a href="https://ciberlandia.pt/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Python</span></a> for <a href="https://ciberlandia.pt/tags/DataAnalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataAnalysis</span></a>: <a href="https://ciberlandia.pt/tags/DataWrangling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataWrangling</span></a> with <a href="https://ciberlandia.pt/tags/pandas" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>pandas</span></a>, <a href="https://ciberlandia.pt/tags/NumPy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NumPy</span></a>, and <a href="https://ciberlandia.pt/tags/Jupyter" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Jupyter</span></a> 3rd edition openly available at <a href="https://wesmckinney.com/book/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">wesmckinney.com/book/</span><span class="invisible"></span></a></p>
Eric Maugendre<p><span class="h-card" translate="no"><a href="https://a.gup.pe/u/datadon" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>datadon</span></a></span> </p><p>Unfilled cells influence models.<br>"Handling Missing Data in Machine Learning": <a href="https://ml-nn.eu/a1/51.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">ml-nn.eu/a1/51.html</span><span class="invisible"></span></a> by Calin Sandu <span class="h-card" translate="no"><a href="https://mastodon.social/@mlnn" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>mlnn</span></a></span></p><p><a href="https://hachyderm.io/tags/missingData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>missingData</span></a> <a href="https://hachyderm.io/tags/bias" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bias</span></a> <a href="https://hachyderm.io/tags/wealth" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>wealth</span></a> <a href="https://hachyderm.io/tags/dataQuality" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dataQuality</span></a> <a href="https://hachyderm.io/tags/complexity" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>complexity</span></a> <a href="https://hachyderm.io/tags/dataDev" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dataDev</span></a> <a href="https://hachyderm.io/tags/machineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>machineLearning</span></a> <a href="https://hachyderm.io/tags/dataPrep" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dataPrep</span></a> <a href="https://hachyderm.io/tags/EDA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>EDA</span></a> <a href="https://hachyderm.io/tags/dataWrangling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dataWrangling</span></a></p>
Bug<p>Hello community,</p><p>Wanna hear about your experiences with data wrangling! do you use R or Python? which is the one that suited your project best?</p><p><a href="https://chaos.social/tags/datacleaning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datacleaning</span></a> <a href="https://chaos.social/tags/datawrangling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datawrangling</span></a> <a href="https://chaos.social/tags/Rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Rstats</span></a> <a href="https://chaos.social/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>python</span></a></p>
Sharon Machlis<p>The {tidyjson} <a href="https://masto.machlis.com/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rstats</span></a> 📦 “provides tools for turning complex json into tidy data. “<br>Among its functions: spread_all() to spread all object values into new columns. By Cole Arendt.<br><a href="https://github.com/colearendt/tidyjson" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">github.com/colearendt/tidyjson</span><span class="invisible"></span></a><br><a href="https://masto.machlis.com/tags/DataWrangling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataWrangling</span></a> <span class="h-card" translate="no"><a href="https://a.gup.pe/u/rstats" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>rstats</span></a></span></p>
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