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Learn R with Reprex

Fri, 07 Oct 2022 12:35:00 +0200

Big Data Creates Inequalities

Only the largest corporations, best-endowed universities, and rich governments can afford data collection and processing capacities that are large enough to harness the advantages of AI.

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Big data that works for all

No matter how big is the problem or how small is your team, `Reprex` fill your reports, dashboards, newsletters, books with data and its visualization.
Learn R with us: you can reduce the inequalities by joining the open source movement, learning to run open source software, ask for help, improve the tutorials, the documentation, and eventually learn to make the computer work for you.
Contributor Covenant: Participating in open source is often a highly collaborative experience. We’re encouraged to create in public view, and we’re incentivized to welcome contributions of all kinds from people around the world. This makes the practice of open source as much social as it is technical.

Get Inspired

Find more interesting and better data: you don’t have to be a data scientist or write code to contribute to our projects.
Data feminism: Catherine D’Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Highly inspirational, free, open-source book.
RLadies is a world-wide organization to promote gender diversity in the R community.

Contributor Covenant

We as members, contributors, and leaders pledge to make participation in our community a harassment-free experience for everyone, regardless of age, body size, visible or invisible disability, ethnicity, sex characteristics, gender identity and expression, level of experience, education, socio-economic status, nationality, personal appearance, race, caste, color, religion, or sexual identity and orientation.
We pledge to act and interact in ways that contribute to an open, welcoming, diverse, inclusive, and healthy community.

Run code from tutorials

retroharmonize.dataobservatory.eu
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[🖱️ Articles](https://retroharmonize.dataobservatory.eu/articles/index.htm

Find help, ask for help: reprex

Documentation for better tutorials

Debugging and testing code

Contribute to documentation

R is a functional language

R is both a statistical environment and a programming language
R, the open source and further developed version of the S language, is mainly functional
If you did a task at least twice, the 3rd time you better write a function script to keep doing it forever.
Most of your effort will be to find a well-written function for your work
If you cannot find a function, you will modify somebody else’s function, or eventually write your own

R + YAML + markdown = web ready

Learn YAML in Y minutes: tell the computer what you want to do with a document
R Markdown basics: it is just a plain markdown that allows you to insert little R program ‘chunks’.
Awesome markdown editors and pre-writers: find a convenient tool
Google Docs to markdown: practice by translating your Google Docs text to markdown. It is very easy.

Package and release: a team effort

Our open source development projects

🔢 dataset: Synchronize datasets with global knowledge hubs #️⃣ statcodelists: Make your data codes understood globally ♻️ iotables: Create economic or environmental impact assessments in any EU country 🌍 regions: Create from raw survey data more granular statistics in any EU country ✅ retroharmonize: Harmonize questions banks, recycle answers from past surveys ⏭️ all in on one page

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LinkedIn: Daniel Antal - Reprex | Home

Learn R with Reprex

Fri, 07 Oct 2022 12:35:00 +0200

Big Data Creates Inequalities

Only the largest corporations, best-endowed universities, and rich governments can afford data collection and processing capacities that are large enough to harness the advantages of AI.

Fullscreen: F

Next: ️> or Space | Previous :️<
Start: Home | Finish: End
Overview: Esc| Speaker notes: S
Zoom: Alt + Click 🖱️

Big data that works for all

No matter how big is the problem or how small is your team, `Reprex` fill your reports, dashboards, newsletters, books with data and its visualization.
Learn R with us: you can reduce the inequalities by joining the open source movement, learning to run open source software, ask for help, improve the tutorials, the documentation, and eventually learn to make the computer work for you.
Contributor Covenant: Participating in open source is often a highly collaborative experience. We’re encouraged to create in public view, and we’re incentivized to welcome contributions of all kinds from people around the world. This makes the practice of open source as much social as it is technical.

Data Feminism

Get Inspired

Find more interesting and better data: you don’t have to be a data scientist or write code to contribute to our projects.
Data feminism: Catherine D’Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Highly inspirational, free, open-source book.
RLadies is a world-wide organization to promote gender diversity in the R community.

Contributor Covenant

We as members, contributors, and leaders pledge to make participation in our community a harassment-free experience for everyone, regardless of age, body size, visible or invisible disability, ethnicity, sex characteristics, gender identity and expression, level of experience, education, socio-economic status, nationality, personal appearance, race, caste, color, religion, or sexual identity and orientation.
We pledge to act and interact in ways that contribute to an open, welcoming, diverse, inclusive, and healthy community.

Run code from tutorials

retroharmonize.dataobservatory.eu
🖱 Get started
🖱️ Articles

Find help, ask for help: reprex

Documentation for better tutorials

Debugging and testing code

Contribute to documentation

R is a functional language

R is both a statistical environment and a programming language
R, the open source and further developed version of the S language, is mainly functional
If you did a task at least twice, the 3rd time you better write a function script to keep doing it forever.
Most of your effort will be to find a well-written function for your work
If you cannot find a function, you will modify somebody else’s function, or eventually write your own

R + YAML + markdown = web ready

Learn YAML in Y minutes: tell the computer what you want to do with a document
R Markdown basics: it is just a plain markdown that allows you to insert little R program ‘chunks’.
Awesome markdown editors and pre-writers: find a convenient tool
Google Docs to markdown: practice by translating your Google Docs text to markdown. It is very easy.

Package and release: a team effort

Our open source development projects

Create with us

Questions?

Email | Keybase

LinkedIn: Daniel Antal - Reprex | Home

iotables: Integrate Data from Reliable Statistical Sources for Economic and Environmental Impact Analysis

Sat, 24 Sep 2022 08:13:55 +0200

Download iotables

The iotables R package is an open-source, scientifically validated package that collects and integrates data from reliable statistical sources and performs economic and environmental impact analysis. It is the backbone of our connected financial-sustainability reporting tool, Eviota, because it can analyze the value chains of 64 industries in every European country for free. It is your starting point to calculate employment, tax, or greenhouse gas multipliers for various policy actions in your country.

The 0.9.1 version of iotables was released today on CRAN. This new minor release contains a bug fix reported by a user and some documentation improvements. Check out our product page and our examples.

The iotables package works with the open-source R statistical environment. We programmed every example of the Eurostat Manual of Supply, Use and Input-Output Tables, which can be used both as a control tool for our package and as a comprehensive, extended handbook on use.
We have also started to meet the demands of a more global audience by adding more and more examples from the Handbook on Supply and Use Tables and Input-Output Tables with Extensions and Applications published by the United Nations. Our goal is to make both our iotables a free analytic and data processing tool and our premium Eviota ESG reporting premium solution applicable anywhere in the world.

# From CRAN:
install.packages("iotables")

# From Github (development version)
devtools::install_github("rOpenGov/iotables")

# with vignettes:
devtools::install_github("rOpenGov/iotables", build_vignettes = TRUE)

The iotables tool has hundreds of technical and professional users in the world. We know that it is not for the faint heart. In 2022 we started the development of a tool that will create impact assessments for small companies or civil society organizations without the need to learn and use R.

Rbloggers | Reprex

Learn R with Reprex

Big Data Creates Inequalities

Slide navigation

Big data that works for all

Get Inspired

Contributor Covenant

Run code from tutorials

Find help, ask for help: reprex

Documentation for better tutorials

Debugging and testing code

Contribute to documentation

R is a functional language

R + YAML + markdown = web ready

Package and release: a team effort

Our open source development projects

Create with us

Questions?

Learn R with Reprex

Big Data Creates Inequalities

Slide navigation

Big data that works for all

Data Feminism

Get Inspired

Contributor Covenant

Run code from tutorials

Find help, ask for help: reprex

Documentation for better tutorials

Debugging and testing code

Contribute to documentation

R is a functional language

R + YAML + markdown = web ready

Package and release: a team effort

Our open source development projects

Create with us

Questions?

iotables: Integrate Data from Reliable Statistical Sources for Economic and Environmental Impact Analysis