# data

## April 13, 2022

Learning the R statistical language

During a recent conversation, with a member of a job seeking buddy group that I am a member of, we had a brief chat about the R programming language. This is designed and optimised to help with statistics, allows graphs to be produced from data and also integrates with other software such as LaTeX, Python and more.

Learning R is probably not difficult, the hardest part with learning something is finding the right resources to help. To this end I have found a collated a few links below.

OTHER

The Links below could be useful generally if you are going to be running R on a GNU/Linux system then knowledge of the command line may be useful. I have also included a link to the study support forum.

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## January 21, 2022

Google Analytics declared illegal in the EU

This news has just broken.

Could have some interesting implications, even though the UK has left the EU, the UK has adopted the GDPR.

A good step for people currently using google analytics would be to swtich to something like Matomo (see link below) which is an alternative.

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## January 5, 2022

Reverse Image Search

Latest resource in the Data Detox kit from Tactical Tech is reverse image searching. This helps you identify the source of an image, which in turn helps you differentiate between accurate and misinformation.

These resources are well worth checking out. I am still planning on trying to do a talk on privacy at a future STEM group event.

Could be something to discuss at the STEM group meeting or via Discourse or on Mastodon.

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## November 23, 2021

Facebook Manipulated 689,003 Users' Emotions For Science

If you use Facebook, please STOP also saying you are committed to safeguarding. Please read this article [1] on Forbes which raises, yet more concerns about the behaviour of this Tech Giant, who seem more interested in profits than the welfare of users.

Enough said, users deserve better, people need to be treated like people and not as data sources for exploitation, manipulation.

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## November 2, 2021

Data Detox Kit: Workshops

This looks like a really good resource, I will download and see what I can do with this. It could make a really good discussion topic at the Paignton Library STEM group.

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## May 31, 2021

Particle Data Group

Just sent off for the latest report from the Particle Data Group [1], which has data on the various particles such as Quarks, Baryons, Leptons etc. Only sending for the shorter (286+ page one). Thank you to the Open University [2] Science forums for making me aware of this.

This is free and should be arriving within the next six to eight weeks apparently.

Should be really interesting to read, may also be useful for the Science study support group [4]

REFERENCES

Update

My Particle databook has now arrived

GRAPHIC

Graphic from : Wikipedia

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## April 5, 2021

Microsoft accounts and GDPR

The UK / EU GDPR (General Data Protection Regulations) state that in the Information commissioners office website [1] upon request of data removal, data should be deleted within “An organisation has one calendar month “. [2] So why is it that upon recently deleting an old hotmail e-mail. it takes 60 days as per quote from their website.

To protect your account from accidentally being closed, we may ask you to prove your identity and intent. For example, if you forgot your account info and had to reset your security info, you must wait 60 days before closing your account.

You can reopen this account, preventing the closure, by signing back in within 60 days. To reopen, you'll need to prove your identity using your current account security information.

This account becomes unrecoverable 60 days after you've closed the account, meaning that you'll be unable to reopen it.


Quote from website regarding time for data deletion.

One of the rather pathetic excuses seems to be that you may request this in error. To me this is just patronising. People are not stupid, big or small tech is not above the law, even though they seem to think that most of the time. Just delete the data within 30 days.

If I request my account is deleted from the Fediverse it gets deleted. Same goes for Gitlab repositories.

Another reason to avoid big tech. If you need e-mail, pads, collaborative editing and storage, then Disroot [3] is excellent as a service too.

REFERENCES

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## February 19, 2021

Periodic table of data

I found a link to this on Twitter, part of last weeks National Periodic table day. This is a really useful set of periodic tables, each one covers a different topic, e.g Origins, name origins, elements in the Sea, Phones, Toxicity etc.

So an example is:– Periodic table of Isotopes, which gives information on how many isotopes there are for each element.

REFERENCES

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## February 12, 2021

Astronify testing

Back in 2020 I attended a Space Telescope Science Institute lecture on Astronify and wrote a review on this.

I an going to attempt to test the software out, so the first task is to install python-pip

May as well install this for both python and python3

apt install python-pip python-pip-whl python3-pip python3-pipdeptree

pip install astronify
Collecting astronify
Could not find a version that satisfies the requirement astronify (from versions: )
No matching distribution found for astronify



Astronify is on pypy so it makes sense to perhaps do a apt search on this:-

I found the following package

pypi2deb

apt install pypi2deb has quite a few extra requirements so may take a while

man page for pip also points to

pip search

so tried to do a search for astronify but the package seems to crash,

pip search astronify
Exception:
Traceback (most recent call last):
File "/usr/lib/python2.7/dist-packages/pip/_internal/cli/base_command.py", line 143, in main
status = self.run(options, args)
File "/usr/lib/python2.7/dist-packages/pip/_internal/commands/search.py", line 48, in run
pypi_hits = self.search(query, options)
File "/usr/lib/python2.7/dist-packages/pip/_internal/commands/search.py", line 65, in search
hits = pypi.search({'name': query, 'summary': query}, 'or')
File "/usr/lib/python2.7/xmlrpclib.py", line 1243, in __call__
return self.__send(self.__name, args)
File "/usr/lib/python2.7/xmlrpclib.py", line 1602, in __request
verbose=self.__verbose
return self.parse_response(response.raw)
File "/usr/lib/python2.7/xmlrpclib.py", line 1493, in parse_response
return u.close()
File "/usr/lib/python2.7/xmlrpclib.py", line 800, in close
raise Fault(**self._stack[0])
Fault: <Fault -32500: "RuntimeError: PyPI's XMLRPC API has been temporarily disabled due to unmanageable load and will be deprecated in the near future. See https://status.python.org/ for more information.">



So at first glance this may not seem useful, the error is more useful to anyone who understands it. Next step would be to ask on some forums for help.

REFERENCES

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