Revisions for Air Quality Data
| 7 CURRENT | bhamster |
December 17, 2021 22:43
| over 2 years ago
What can you do with air quality data once you have it? Whether you’ve collected the data yourself through community air monitoring or obtained it from an open database, there are many ways to communicate the data and make it meaningful. On this wiki page, we’re collecting resources on understanding and communicating air quality data. Please add to these resources and help to improve the page by editing this wiki! Visit the air-quality-data tag page to see the latest community posts about this topic on Public Lab, and receive updates by following: Lead image: Infographic on air quality data by @renee. See full image below.
On this page:
Questions and activities about air quality data from the community Understanding and preparing air quality data
Communicating with air quality data
Questions about air quality dataQuestions tagged with [questions:air-quality-data] Activities about air quality dataActivity posts tagged with [notes:activity:air-quality-data] Understanding and preparing air quality dataResearch notes tagged with [notes:getting-started-air-quality-data] Different kinds of air quality dataBecoming familiar with the kind of air quality data you have can help you on the way to figuring out what you eventually want to do with the data. Image: A variety of different kinds and sources of air quality data, by @renee.
Here are some questions to consider about the data:
More about different kinds of environmental data (not specific to air quality data):
What other questions can help with understanding air quality data? Please edit this page to add more! Units of measurementLooking closely at units in data can help you understand the scale of your measurements and start thinking about how to communicate that scale so it’s meaningful to other people. Image: Illustrating the volume of carbon dioxide emitted from burning one gallon of gasoline. Carbon Visuals, CC BY Resources on units of measurement:
Cleaning and organizing air quality dataPutting your air quality data into an organized table gets it ready for making charts, graphs, and other visualizations. Below are some resources on making tables of tidy data and on "cleaning data."
Image: Illustrations from the Openscapes blog “Tidy Data for reproducibility, efficiency, and collaboration” by Julia Lowndes and Allison Horst, CC BY [wikis:data-cleaning] Communicating with air quality dataDesigning a data storyResearch notes with the tag [notes:grid:data-storytelling] More resources on deciding what data to share:
Graphs, maps, and more ways to present air quality dataData visualizations like graphs, charts, and maps are a common way to bring numbers to life. And there are also other approaches! Art, zines, non-visual media, and other interactive media can also help you tell a story with your air quality data. We’re collecting resources and examples here of different ways to present air quality data. Please edit this page to add more examples and improve this wiki!
Image: “Which visualizations should I use?” infographic by @renee.
Making visualizations to see trends and potential problems in the data
Even before deciding on how to communicate your air quality data more broadly, it can be helpful to make rough graphs or charts just to see what’s going on with your data. Graphing tools built right into spreadsheet programs (like Google Sheets, Excel, or LibreOffice) are often good enough for making these initial data visualizations. Besides looking for patterns, you can also look for clues that there might be problems with the data: measurements that look out of place (outliers), measurements steadily increasing or decreasing unexpectedly, and gaps in data. Tools for making visualizations and other media[notes:grid:data-visualization-tool] Sharing and taking action with air quality data
Wikis and research notes tagged with [nodes:data-advocacy] Further reading and resourcesMore on data advocacy
More on data visualization tools and tutorials
Literature
Next step challenges
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| 6 | bhamster |
December 13, 2021 23:18
| over 2 years ago
What can you do with air quality data once you have it? Whether you’ve collected the data yourself through community air monitoring or obtained it from an open database, there are many ways to communicate the data and make it meaningful. On this wiki page, we’re collecting resources on understanding and communicating air quality data. Please add to these resources and help to improve the page by editing this wiki! Visit the air-quality-data tag page to see the latest community posts about this topic on Public Lab, and receive updates by following:
On this page:
Questions and activities about air quality data from the community Understanding and preparing air quality data
Communicating with air quality data
Questions about air quality dataQuestions tagged with [questions:air-quality-data] Activities about air quality dataActivity posts tagged with [notes:activity:air-quality-data] Understanding and preparing air quality dataResearch notes tagged with [notes:getting-started-air-quality-data] Different kinds of air quality dataBecoming familiar with the kind of air quality data you have can help you on the way to figuring out what you eventually want to do with the data. Image: A variety of different kinds and sources of air quality data, by @renee.
Here are some questions to consider about the data:
More about different kinds of environmental data (not specific to air quality data):
What other questions can help with understanding air quality data? Please edit this page to add more! Units of measurementLooking closely at units in data can help you understand the scale of your measurements and start thinking about how to communicate that scale so it’s meaningful to other people. Image: Illustrating the volume of carbon dioxide emitted from burning one gallon of gasoline. Carbon Visuals, CC BY Resources on units of measurement:
Cleaning and organizing air quality dataPutting your air quality data into an organized table gets it ready for making charts, graphs, and other visualizations. Below are some resources on making tables of tidy data and on "cleaning data."
Image: Illustrations from the Openscapes blog “Tidy Data for reproducibility, efficiency, and collaboration” by Julia Lowndes and Allison Horst, CC BY [wikis:data-cleaning] Communicating with air quality dataDesigning a data storyResearch notes with the tag [notes:grid:data-storytelling] More resources on deciding what data to share:
Graphs, maps, and more ways to present air quality dataData visualizations like graphs, charts, and maps are a common way to bring numbers to life. And there are also other approaches! Art, zines, non-visual media, and other interactive media can also help you tell a story with your air quality data. We’re collecting resources and examples here of different ways to present air quality data. Please edit this page to add more examples and improve this wiki!
Image: “Which visualizations should I use?” infographic by @renee.
Making visualizations to see trends and potential problems in the data
Even before deciding on how to communicate your air quality data more broadly, it can be helpful to make rough graphs or charts just to see what’s going on with your data. Graphing tools built right into spreadsheet programs (like Google Sheets, Excel, or LibreOffice) are often good enough for making these initial data visualizations. Besides looking for patterns, you can also look for clues that there might be problems with the data: measurements that look out of place (outliers), measurements steadily increasing or decreasing unexpectedly, and gaps in data. Tools for making visualizations and other media[notes:grid:data-visualization-tool] Sharing and taking action with air quality data
Wikis and research notes tagged with [nodes:data-advocacy] Further reading and resourcesMore on data advocacy
More on data visualization tools and tutorials
Literature
Next step challenges
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Revert | |
| 5 | bhamster |
December 06, 2021 20:51
| over 2 years ago
What can you do with air quality data once you have it? Whether you’ve collected the data yourself through community air monitoring or obtained it from an open database, there are many ways to communicate the data and make it meaningful. On this wiki page, we’re collecting resources on understanding and communicating air quality data. Please add to these resources and help to improve the page by editing this wiki!
On this page:
Questions and activities about air quality data from the community Understanding and preparing air quality data
Communicating with air quality data
Visit the air-quality-data tag page to see the latest community posts about this topic on Public Lab, and receive updates by following: Questions about air quality dataQuestions tagged with [questions:air-quality-data] Activities about air quality dataActivity posts tagged with [notes:activity:air-quality-data] Understanding and preparing air quality dataResearch notes tagged with [notes:getting-started-air-quality-data] Different kinds of air quality dataBecoming familiar with the kind of air quality data you have can help you on the way to figuring out what you eventually want to do with the data. Image: A variety of different kinds and sources of air quality data, by @renee.
Here are some questions to consider about the data:
More about different kinds of environmental data (not specific to air quality data):
What other questions can help with understanding air quality data? Please edit this page to add more! Units of measurementLooking closely at units in data can help you understand the scale of your measurements and start thinking about how to communicate that scale so it’s meaningful to other people. Image: Illustrating the volume of carbon dioxide emitted from burning one gallon of gasoline. Carbon Visuals, CC BY Resources on units of measurement:
Cleaning and organizing air quality dataPutting your air quality data into an organized table gets it ready for making charts, graphs, and other visualizations. Below are some resources on making tables of tidy data and on "cleaning data."
Image: Illustrations from the Openscapes blog “Tidy Data for reproducibility, efficiency, and collaboration” by Julia Lowndes and Allison Horst, CC BY [wikis:data-cleaning] Communicating with air quality dataDesigning a data storyResearch notes with the tag [notes:grid:data-storytelling] More resources on deciding what data to share:
Graphs, maps, and more ways to present air quality dataData visualizations like graphs, charts, and maps are a common way to bring numbers to life. And there are also other approaches! Art, zines, non-visual media, and other interactive media can also help you tell a story with your air quality data. We’re collecting resources and examples here of different ways to present air quality data. Please edit this page to add more examples and improve this wiki!
Image: “Which visualizations should I use?” infographic by @renee.
Making visualizations to see trends and potential problems in the data
Even before deciding on how to communicate your air quality data more broadly, it can be helpful to make rough graphs or charts just to see what’s going on with your data. Graphing tools built right into spreadsheet programs (like Google Sheets, Excel, or LibreOffice) are often good enough for making these initial data visualizations. Besides looking for patterns, you can also look for clues that there might be problems with the data: measurements that look out of place (outliers), measurements steadily increasing or decreasing unexpectedly, and gaps in data. Tools for making visualizations and other media[notes:grid:data-visualization-tool] Sharing and taking action with air quality data
Wikis and research notes tagged with [nodes:data-advocacy] Further reading and resourcesMore on data advocacy
More on data visualization tools and tutorials
Literature
Next step challenges |
Revert | |
| 4 | bhamster |
December 06, 2021 20:50
| over 2 years ago
What can you do with air quality data once you have it? Whether you’ve collected the data yourself through community air monitoring or obtained it from an open database, there are many ways to communicate the data and make it meaningful. On this wiki page, we’re collecting resources on understanding and communicating air quality data. Please add to these resources and help to improve the page by editing this wiki!
On this page:
Questions and activities about air quality data from the community Understanding and preparing air quality data
Communicating with air quality data
Visit the air-quality-data tag page to see the latest community posts about this topic on Public Lab, and receive updates by following: Questions about air quality dataQuestions tagged with [questions:air-quality-data] Activities about air quality data dataActivity posts tagged with [notes:activity:air-quality-data] Understanding and preparing air quality dataResearch notes tagged with [notes:getting-started-air-quality-data] Different kinds of air quality dataBecoming familiar with the kind of air quality data you have can help you on the way to figuring out what you eventually want to do with the data. Image: A variety of different kinds and sources of air quality data, by @renee.
Here are some questions to consider about the data:
More about different kinds of environmental data (not specific to air quality data):
What other questions can help with understanding air quality data? Please edit this page to add more! Units of measurementLooking closely at units in data can help you understand the scale of your measurements and start thinking about how to communicate that scale so it’s meaningful to other people. Image: Illustrating the volume of carbon dioxide emitted from burning one gallon of gasoline. Carbon Visuals, CC BY Resources on units of measurement:
Cleaning and organizing air quality dataPutting your air quality data into an organized table gets it ready for making charts, graphs, and other visualizations. Below are some resources on making tables of tidy data and on "cleaning data."
Image: Illustrations from the Openscapes blog “Tidy Data for reproducibility, efficiency, and collaboration” by Julia Lowndes and Allison Horst, CC BY [wikis:data-cleaning] Communicating with air quality dataDesigning a data storyResearch notes with the tag [notes:grid:data-storytelling] More resources on deciding what data to share:
Graphs, maps, and more ways to present air quality dataData visualizations like graphs, charts, and maps are a common way to bring numbers to life. And there are also other approaches! Art, zines, non-visual media, and other interactive media can also help you tell a story with your air quality data. We’re collecting resources and examples here of different ways to present air quality data. Please edit this page to add more examples and improve this wiki!
Image: “Which visualizations should I use?” infographic by @renee.
Making visualizations to see trends and potential problems in the data
Even before deciding on how to communicate your air quality data more broadly, it can be helpful to make rough graphs or charts just to see what’s going on with your data. Graphing tools built right into spreadsheet programs (like Google Sheets, Excel, or LibreOffice) are often good enough for making these initial data visualizations. Besides looking for patterns, you can also look for clues that there might be problems with the data: measurements that look out of place (outliers), measurements steadily increasing or decreasing unexpectedly, and gaps in data. Tools for making visualizations and other media[notes:grid:data-visualization-tool] Sharing and taking action with air quality data
Wikis and research notes tagged with [nodes:data-advocacy] Further reading and resourcesMore on data advocacy
More on data visualization tools and tutorials
Literature
Next step challenges |
Revert | |
| 3 | bhamster |
December 03, 2021 20:59
| over 2 years ago
This wiki page is a work-in-progress that will change frequently! Please edit this page to help improve it! Visit the air-quality-data tag page to see the latest community posts about this topic on Public Lab, and receive updates by following: Understanding and preparing air quality data[notes:grid:getting-started-air-quality-data] Different kinds of air quality dataBecoming familiar with the kind of air quality data you have can help you on the way to figuring out what you eventually want to do with the data. Image: A variety of different kinds and sources of air quality data, by @renee.
Here are some questions to consider about the data:
More about different kinds of environmental data (not specific to air quality data):
What other questions can help with understanding air quality data? Please edit this page to add more! Units of measurementLooking closely at units in data can help you understand the scale of your measurements and start thinking about how to communicate that scale so it’s meaningful to other people. Image: Illustrating the volume of carbon dioxide emitted from burning one gallon of gasoline. Carbon Visuals, CC BY Resources on units of measurement:
Cleaning and organizing air quality dataPutting your air quality data into an organized table gets it ready for making charts, graphs, and other visualizations. Below are some resources on making tables of tidy data and on "cleaning data."
Image: Illustrations from the Openscapes blog “Tidy Data for reproducibility, efficiency, and collaboration” by Julia Lowndes and Allison Horst, CC BY [wikis:data-cleaning] Communicating with air quality dataDesigning a data storyResearch notes with the tag [notes:grid:data-storytelling] More resources on deciding what data to share:
Graphs, maps, and more ways to present air quality dataData visualizations like graphs, charts, and maps are a common way to bring numbers to life. And there are also other approaches! Art, zines, non-visual media, and other interactive media can also help you tell a story with your air quality data. We’re collecting resources and examples here of different ways to present air quality data. Please edit this page to add more examples and improve this wiki!
Image: “Which visualizations should I use?” infographic by @renee.
Image: The Data Viz Project is a comprehensive online tool cataloging examples of data visualizations. Ferdio design firm, CC BY NC ND.
Making visualizations to see trends and potential problems in the data
Even before deciding on how to communicate your air quality data more broadly, it can be helpful to make rough graphs or charts just to see what’s going on with your data. Graphing tools built right into spreadsheet programs (like Google Sheets, Excel, or LibreOffice) are often good enough for making these initial data visualizations. Besides looking for patterns, you can also look for clues that there might be problems with the data: measurements that look out of place (outliers), measurements steadily increasing or decreasing unexpectedly, and gaps in data. Tools for making visualizations and other media[notes:grid:data-visualization-tool] Sharing and taking action with air quality data
More to come here Questions about air quality dataQuestions tagged with [questions:air-quality-data] Activities about air quality data dataActivity posts tagged with [notes:activity:air-quality-data] Further reading and resources
Next step challenges |
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| 2 | bhamster |
November 23, 2021 23:56
| over 2 years ago
This wiki page is a work-in-progress that will change frequently! Please edit this page to help improve it! Visit the air-quality-data tag page to see the latest community posts about this topic on Public Lab, and receive updates by following: Understanding air quality data[notes:grid:getting-started-air-quality-data] Different kinds of air quality dataBecoming familiar with the kind of air quality data you have can help you on the way to figuring out what you eventually want to do with the data. Image: A variety of different kinds and sources of air quality data, by @renee.
Here are some questions to consider about the data:
More about different kinds of environmental data (not specific to air quality data):
What other questions can help with understanding air quality data? Please edit this page to add more! Initial analysis & visualizations to understand dataUnits of measurementLooking closely at units in data can help you understand the scale of your measurements and start thinking about how to communicate that scale so it’s meaningful to other people. Image: Illustrating the volume of carbon dioxide emitted from burning one gallon of gasoline. Carbon Visuals, CC BY Resources on units of measurement:
Cleaning and organizing air quality dataPutting your air quality data into an organized table gets it ready for making charts, graphs, and other visualizations. Below are some resources on making tables of tidy data and on "cleaning data." Here's a work-in-progress wiki on cleaning and organizing environmental data: https://publiclab.org/wiki/sandbox-cleaning-and-organizing-data Image: Illustrations from the Openscapes blog “Tidy Data for reproducibility, efficiency, and collaboration” by Julia Lowndes and Allison Horst, CC BY Making visualizations to see trends and potential problemsmore to come here Communicating with air quality dataDesigning a data storyResearch notes with the tag [notes:grid:data-storytelling] more to come here Ways to present air quality data
more to come here Tools for making visualizations and other media[notes:grid:data-visualization-tool] Communicating the datamore to come here Questions about air quality dataQuestions tagged with [questions:air-quality-data] Activities about air quality data dataActivity posts tagged with [notes:activity:air-quality-data] Further reading and resources
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| 1 | bhamster |
November 23, 2021 19:22
| over 2 years ago
This wiki page is a work-in-progress that will change frequently! Please edit this page to help improve it! Visit the air-quality-data tag page to see the latest community posts about this topic on Public Lab, and receive updates by following: Understanding air quality data[notes:grid:getting-started-air-quality-data] Different kinds of air quality dataBecoming familiar with the kind of air quality data you have can help you on the way to figuring out what you eventually want to do with the data. Image: A variety of different kinds and sources of air quality data, by @renee.
Here are some questions to consider about the data:
More about different kinds of environmental data (not specific to air quality data):
What other questions can help with understanding air quality data? Please edit this page to add more! Initial analysis & visualizations to understand dataUnits of measurementLooking closely at units in data can help you understand the scale of your measurements and start thinking about how to communicate that scale so it’s meaningful to other people. Image: Illustrating the volume of carbon dioxide emitted from burning one gallon of gasoline. Carbon Visuals, CC BY Resources on units of measurement:
Making tables of tidy dataPutting your air quality data into an organized table gets it ready for making charts, graphs, and other visualizations. Below are some resources on making tables of tidy data and on "cleaning data." Images: Illustrations from the Openscapes blog “Tidy Data for reproducibility, efficiency, and collaboration” by Julia Lowndes and Allison Horst, CC BY An example of “tidy data” from an air quality sensor might look like this: Each variable forms a column: sensor ID number, date, time, and the air quality measurement of particulate matter are individual variables. Each variable gets its own column in the table. The column header at the top lists the variable name and its units of measurement. Each observation forms a row: this sensor took an air quality measurement every minute. Each measurement gets its own row in the table. Each cell is a single measurement: each block in the table shows one piece of data--one time, one PM measurement, etc.
More resources on organizing and cleaning data:
Making visualizations to see trends and potential problemsmore to come here Communicating with air quality dataDesigning a data storyResearch notes with the tag [notes:grid:data-storytelling] more to come here Ways to present air quality data
more to come here Tools for making visualizations and other media[notes:grid:data-visualization-tool] Communicating the datamore to come here Questions about air quality dataQuestions tagged with [questions:air-quality-data] Activities about air quality data dataActivity posts tagged with [notes:activity:air-quality-data] Further reading and resources
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| 0 | bhamster |
November 23, 2021 19:19
| over 2 years ago
This wiki page is a work-in-progress that will change frequently! Please edit this page to help improve it! Visit the air-quality-data tag page to see the latest community posts about this topic on Public Lab, and receive updates by following: Understanding air quality data[notes:grid:getting-started-air-quality-data] Different kinds of air quality dataBecoming familiar with the kind of air quality data you have can help you on the way to figuring out what you eventually want to do with the data. Image: A variety of different kinds and sources of air quality data, by @renee.
Here are some questions to consider about the data:
More about different kinds of environmental data (not specific to air quality data):
What other questions can help with understanding air quality data? Please edit this page to add more! Initial analysis & visualizations to understand dataUnits of measurementLooking closely at units in data can help you understand the scale of your measurements and start thinking about how to communicate that scale so it’s meaningful to other people. Image: Illustrating the volume of carbon dioxide emitted from burning one gallon of gasoline. Carbon Visuals, CC BY Resources on units of measurement:
Making tables of tidy dataPutting your air quality data into an organized table gets it ready for making charts, graphs, and other visualizations. Below are some resources on making tables of tidy data and on "cleaning data." Images: Illustrations from the Openscapes blog “Tidy Data for reproducibility, efficiency, and collaboration” by Julia Lowndes and Allison Horst, CC BY An example of “tidy data” from an air quality sensor might look like this: Each variable forms a column: sensor ID number, date, time, and the air quality measurement of particulate matter are individual variables. Each variable gets its own column in the table. The column header at the top lists the variable name and its units of measurement. Each observation forms a row: this sensor took an air quality measurement every minute. Each measurement gets its own row in the table. Each cell is a single measurement: each block in the table shows one piece of data--one time, one PM measurement, etc.
More resources on organizing and cleaning data:
Making visualizations to see trends and potential problemsmore to come here Communicating with air quality dataDesigning a data storyResearch notes with the tag [notes:grid:data-storytelling] more to come here Ways to present air quality data
more to come here Tools for making visualizations and other media[notes:grid:data-visualization-tool] Communicating the datamore to come here Questions about air quality dataQuestions tagged with [questions:air-quality-data] Activities about air quality data dataActivity posts tagged with [notes:activity:air-quality-data] Further reading and resources
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