Snowman submission

[econmaett]

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Usability:

• This dataset has not already been used in TidyTuesday.
• The dataset is less than 20MB when saved as a tidy CSV.
• I can imagine at least one data visualization related to this dataset.

Preparation:

• cleaning.R has code to download and clean the dataset, resulting in descriptively-named data.frames.
• I ran saving.R or tidytuesdayR::tt_save_dataset() to create csvs and md data dictionaries for each of my data.frames.
• I filled in descriptions for each variable in each of the {dataset}.md files.
• I edited the intro.md file to introduce my dataset.
• I included at least one image for my dataset as a png file.
• I completed the information in meta.yaml, including descriptive alt text for each image and how to credit me.

[github-actions]

TidyTuesday Submission Check: Passed ✅

burn_duration.csv:

variable	class	p_missing	n_unique
year	numeric	0	67
duration	numeric	3	54

climate_data.csv:

variable	class	p_missing	n_unique
year	numeric	0.0	162
tre200m0	numeric	0.0	92
tre200mn	numeric	11.1	88
tre200mx	numeric	11.7	94
sre000m0	numeric	12.3	143
sremaxmv	numeric	22.8	65
rre150m0	numeric	0.0	157

climate_metadata.csv:

variable	class	p_missing	n_unique
variable	character	0	6
description	character	0	6

sechselaeuten.csv:

variable	class	p_missing	n_unique
year	numeric	0	67
duration	numeric	3	54
tre200m0	numeric	0	53
tre200mn	numeric	0	49
tre200mx	numeric	0	55
sre000m0	numeric	0	67
sremaxmv	numeric	0	44
rre150m0	numeric	0	66
record	logical	0	2

sechselauten.csv:

variable	class	p_missing	n_unique
year	numeric	0	65
duration	numeric	0	53
temperature	numeric	0	51
record	logical	0	2

[jonthegeek]

Note to self: The previous review of this dataset is here: https://github.com/rfordatascience/tidytuesday/pull/948/files#diff-dd19fd2430658c6eeb6cc703c42b5ec26228d49a9e4094ab8f4ca8bdaa5874c9

@econmaett In the future, please make edits in the same pull request, rather than closing the request and pushing a new request. Reviewing this is more difficult than it needs to be, because I need to look at what I said in the other one and figure out what you have changed. Making changes and running tt_submit() again should push to the same branch.

[github-actions]

TidyTuesday Submission Check: Passed ✅

burn_duration.csv:

variable	class	p_missing	n_unique
year	numeric	0	67
duration	numeric	3	54

climate_data.csv:

variable	class	p_missing	n_unique
year	numeric	0.0	162
tre200m0	numeric	0.0	92
tre200mn	numeric	11.1	88
tre200mx	numeric	11.7	94
sre000m0	numeric	12.3	143
sremaxmv	numeric	22.8	65
rre150m0	numeric	0.0	157

climate_metadata.csv:

variable	class	p_missing	n_unique
variable	character	0	6
description	character	0	6

sechselaeuten.csv:

variable	class	p_missing	n_unique
year	numeric	0	67
duration	numeric	3	54
tre200m0	numeric	0	53
tre200mn	numeric	0	49
tre200mx	numeric	0	55
sre000m0	numeric	0	67
sremaxmv	numeric	0	44
rre150m0	numeric	0	66
record	logical	0	2

sechselauten.csv:

variable	class	p_missing	n_unique
year	numeric	0	65
duration	numeric	0	53
temperature	numeric	0	51
record	logical	0	2

• Manual controversy check

[github-actions]

TidyTuesday Submission Check: Passed ✅

burn_duration.csv:

variable	class	p_missing	n_unique
year	numeric	0	67
duration	numeric	3	54

climate_data.csv:

variable	class	p_missing	n_unique
year	numeric	0.0	162
tre200m0	numeric	0.0	92
tre200mn	numeric	11.1	88
tre200mx	numeric	11.7	94
sre000m0	numeric	12.3	143
sremaxmv	numeric	22.8	65
rre150m0	numeric	0.0	157

climate_metadata.csv:

variable	class	p_missing	n_unique
variable	character	0	6
description	character	0	6

sechselaeuten.csv:

variable	class	p_missing	n_unique
year	numeric	0	67
duration	numeric	3	54
tre200m0	numeric	0	53
tre200mn	numeric	0	49
tre200mx	numeric	0	55
sre000m0	numeric	0	67
sremaxmv	numeric	0	44
rre150m0	numeric	0	66
record	logical	0	2

sechselauten.csv:

variable	class	p_missing	n_unique
year	numeric	0	65
duration	numeric	0	53
temperature	numeric	0	51
record	logical	0	2

• Manual controversy check