National power rangers' day data and images!

data/curated/power_rangers/cleaning.R

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+library(tidyverse)
+# source for seasons
+"https://www.kaggle.com/datasets/karetnikovn/power-rangers-dataset/data"
+
+# Source for episodes
+"https://www.kaggle.com/datasets/karetnikovn/power-rangers-dataset/data"
+
+power_rangers_seasons <- readr::read_csv("data/curated/power_rangers/seasons.csv")
+
+power_rangers_episodes <- readr::read_csv("data/curated/power_rangers/episodes.csv") %>%
+  mutate(air_date = mdy(air_date))

data/curated/power_rangers/instructions.md

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+## Prepare the dataset
+
+These instructions are for preparing a dataset using the R programming language.
+We hope to provide instructions for other programming languages eventually.
+
+If you have not yet set up your computer for submitting a dataset, please see the full instructions at <https://github.com/rfordatascience/tidytuesday/blob/master/.github/pr_instructions.md>.
+
+1. `cleaning.R`: Modify the `cleaning.R` file to get and clean the data. 
+  - Write the code to download and clean the data in `cleaning.R`.
+  - If you're getting the data from a github repo, remember to use the 'raw' version of the URL.
+  - This script should result in one or more data.frames, with descriptive variable names (eg `players` and `teams`, not `df1` and `df2`).
+2. `saving.R`: Use`saving.R` to save your datasets. This process creates both the `.csv` file(s) and the data dictionary template file(s) for your datasets. **It is not enough to simply save the CSV files using a separate process. We also need the data dictionaries.**
+  - Run the first line of `saving.R` to create the functions we'll use to save your dataset.
+  - Provide the name of your directory as `dir_name`.
+  - Use `ttsave()` for each dataset you created in `cleaning.R`, substituting the name fo the dataset for `YOUR_DATASET_DF`.
+3. `{dataset}.md`: Edit the `{dataset}.md` files to describe your datasets. There should be one file for each of your datasets. You most likely only need to edit the "description" column to provide a description of each variable.
+4. `intro.md`: Edit the `intro.md` file to describe your dataset. You don't need to add a `# Title` at the top; this is just a paragraph or two to introduce the week.
+5. Find at least one image for your dataset, and ideally two. These often come from the article about your dataset. If you can't find an image, create an example data visualization, and save that. Save the images in your folder as `png` files.
+6. `meta.yaml`: Edit `meta.yaml` to provide information about your dataset. Also provide information about how we can credit you in the `credit` block, and delete lines from this block that do not apply to you.
+
+### Submit your pull request with the data
+
+1. Commit the changes in this folder to your branch. In RStudio, you can do this on the "Git" tab (the "Commit" button).
+2. Submit a pull request to https://github.com/rfordatascience/tidytuesday. In R, you can do this with `usethis::pr_push()`, and then follow the instructions in your browser.

data/curated/power_rangers/intro.md

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+This week's dataset comes from Kaggle's [Power Rangers Dataset](https://www.kaggle.com/datasets/karetnikovn/power-rangers-dataset/data)!
+
+> In 1993, five ordinary teenagers exploded on the pop-culture scene with the launch of Mighty Morphin Power Rangers. Together they broke down barriers. They defeated evil by demonstrating teamwork, inclusivity, and diversity to people of all ages. Today, this grand tradition continues as new Ranger teams and new generations of fans discover these essential values again.
+The series, created by Haim Saban, has one of the most popular taglines in history, "It's Morphin Time!" The TV series "Mighty Morphin Power Rangers" (MMPR) launched on August 28, 1993. Power Rangers quickly became the #1 kids action brand and a global phenomenon. With its current 25th season, "Power Rangers Super Ninja Steel," the show is now the second-longest-running, non-soap-opera, scripted program on American TV (after "The Simpsons"). There are also over 830 episodes in its library. Currently, Power Rangers is seen in more than 150 markets around the world. It's also translated into numerous languages and is a favorite on many indispensable children's programming blocks around the world. Go Go Power Rangers on 8.28!
+
+Source: [NationalDayCalendar.com](https://www.nationaldaycalendar.com/national-day/national-power-rangers-day-august-28)
+
+What can you and your data analysis skills tell us about the Power Rangers' Franchise?
+
+What were the most popular seasons? Which season of rangers lasted the longest on screen? Which was your favourite ranger and why?

data/curated/power_rangers/meta.yaml

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+title: The Power Rangers Franchise
+article:
+  title: National Power Rangers Day (August 28)
+  url: https://www.nationaldaycalendar.com/national-day/national-power-rangers-day-august-28
+data_source:
+  title: Power Rangers: Seasons and episodes data
+  url: https://www.kaggle.com/datasets/karetnikovn/power-rangers-dataset/data
+images:
+# Please include at least one image, and up to three images
+- file: National-Power-Rangers-Day.png
+  alt: National Power Rangers Day Mighty Morphin' Power Rangers
+- file: national-power-rangers-day--august-28.png
+  alt: National Power Rangers Day, August 28, by NationalDayCalendar.com #CelebrateEveryDay. cartoon representations of the Power Rangers face off against some of their iconic villains.
+credit:
+# If you do not want a particular type of credit, please delete the related line
+  post: Tinashe M. Tapera
+  linkedin: https://www.linkedin.com/in/tinashemtapera
+