Elmera Azadpour
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eazadpour.bsky.social
Elmera Azadpour
@eazadpour.bsky.social
120 followers 110 following 24 posts
#DataViz #rstats | she/her | elmeraa-usgs.github.io
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eazadpour.bsky.social
#30DayChartChallenge | Day 30 - National Geographic Theme | Great Salt Lake 🛰️

#dataviz #remotesensing #GEE
April 30, 2025 at 4:43 PM
eazadpour.bsky.social
Done! elmeraa-usgs.github.io/posts/2025-0...
March 25, 2025 at 3:43 PM
eazadpour.bsky.social
100% - data just wasn't available in the package. After doing some digging, looks like this site does have some data, I can manually add later! Thanks for the reminder :) www.nwslsoccer.com/teams/196746...
March 25, 2025 at 3:30 PM
eazadpour.bsky.social
Explored some pro women’s soccer data using the `nwslR` package this evening — check out some of these quick #rstats #dataviz using packages like #ggimage and #gtExtras for table making.

& Go SD Wave! 🌊 ⚽️ #nwsl

🔗: elmeraa-usgs.github.io/posts/2025-0...
March 25, 2025 at 4:54 AM
eazadpour.bsky.social
Week 10 | #TidyTuesday | Pixar Film Ratings

🔗 github.com/elmeraa-usgs...

#rstats #dataviz #r4ds #ggplot
A radial bar chart titled ‘Pixar Film Ratings’ displaying the average ratings of Pixar films based on Rotten Tomatoes, Metacritic, and Critics’ Choice Scores. Each bar represents a film, with lengths corresponding to the score. Bars are color-coded based on CinemaScore grades: gold for A+, green for A, orange for A-, and white for films with no CinemaScore data. The highest-rated film is Toy Story (1995) with 97.5, while the lowest is Cars 2 (2011) with 54.7. Data from {pixarfilms} R package.
March 14, 2025 at 10:35 PM
eazadpour.bsky.social
Week 4 | #TidyTuesday | Water Insecurity

🔗 github.com/rfordatascie...

#rstats #dataviz #r4ds #ggplot
Slope chart showing the percent of households lacking plumbing in California counties from 2022 to 2023. Humboldt County shows the highest increase, rising above 1.5%, followed by notable increases in Placer, Kings, Mendocino, and Lake counties. Gray lines in the background represent other counties in California. Data source: tidycensus. Bubble map of the U.S. showing changes in the percentage of households lacking plumbing facilities by county from 2023–2022. Direction of change are represented by circles with green circles indicating a decrease and orange circles indicating an increase, with size reflecting magnitude. Generally, areas of the western U.S. display a decrease in percentage of households lacking plumbing facilities, while pockets of increases are observed across the eastern U.S. We provide arrows and callouts for McKinley County, NM (-0.93%) and Orange County, TX (+2.3%). Data source: tidycensus.
February 10, 2025 at 11:19 PM
eazadpour.bsky.social
Explore how to visualize change in incomplete plumbing facilities across counties for states of interest using #tidycensus
Dumbbell plot showing changes in the percentage of households lacking complete plumbing facilities in Arizona counties between 2022 and 2023. Each county is listed on the y-axis, with dots representing data for 2022 (light purple) and 2023 (dark purple). The x-axis shows the percentage of households lacking plumbing, ranging from 0% to 4%. Counties like Apache and Navajo have higher percentages compared to others such as Maricopa and Pima.
December 9, 2024 at 7:44 PM
eazadpour.bsky.social
This blog post provides #reproducible code to process and visualize #tidycensus #acs data, such as households lacking plumbing facilities, across counties in the Western U.S.
Choropleth map of percent of households lacking plumbing facilities in 2023 across counties in the Western U.S. Counties with the greatest percent of lacking plumbing facilities include Apache County, AZ (3.9%), McKinley County, NM (2.3%), and Navajo County, AZ (1.9%).
December 9, 2024 at 7:44 PM
eazadpour.bsky.social
Looking to fold @uscensusbureau data into your workflows? Our latest blog shows how to use #tidycensus to explore & visualize social vulnerability indicators in the Western U.S., with #reproducible code!

🔗: waterdata.usgs.gov/blog/acs-maps/

#rstats #DataViz #WaterInsecurity #OpenScience
Choropleth map of the Western United States shaded in varying tones of green to represent median gross rent by county for 2022, with darker greens indicating higher rents. A hexagonal tidycensus logo featuring a green map pattern is shown in the bottom-left corner. The title at the top reads 'Mapping water insecurity in R with tidycensus.'
December 9, 2024 at 7:43 PM
eazadpour.bsky.social
November #streamflow conditions across the U.S. 💧

Dry conditions persisted for much of the Eastern U.S. while parts of the Central U.S. saw wet conditions.

#DataViz made with #rstats #dataRetrieval 

github.com/DOI-USGS/flo...
A tile map of the U.S. showing streamgages by flow levels through the month of November 2024. For each state, an area chart shows the proportion of streamgages in wet, normal, or dry conditions. Streamflow conditions are quantified using percentiles comparing the past month’s flow levels to the historic record for each streamgage. During the month of November, much of the Eastern U.S. saw dry conditions for states such as Delaware, Rhode Island, Connecticut, and New Jersey. Concurrently, Missouri, Oklahoma, and Kansas saw wet conditions.
December 5, 2024 at 5:58 PM
eazadpour.bsky.social
Check out U.S. River Conditions from October 1, 2023 to September 30, 2024 at #USGS #streamgages💧

River conditions range from driest conditions at a gage (red open circles) to the wettest (blue closed circles). A purple outer ring indicates flooding

www.usgs.gov/media/videos...
Still frame from 2024 Water Year River Conditions animation from May 7, 2024 highlighting high water in the Central U.S., flooding in East Texas, and low flows in parts of Florida where driest conditions at a streamgage are indicated by red open circles, wet conditions are indicated by blue closed circles, and purple outer rings on streamgage circles indicates flooding.
November 27, 2024 at 4:37 PM
eazadpour.bsky.social
Public supply is the source of water for many beverage facilities, but water source varies by facility type. Here we show water sources across facility type for the U.S. where line thickness is scaled to the # of facilities in each category. Learn more at: labs.waterdata.usgs.gov/visualizatio...
Sankey diagram showing proportions of water source types reported by bottling facilities in the U.S. Source categories are public supply, self-supply, combination, or undetermined. Combination can be defined as a mix of sources. Bottling facility types include bottled water, brewery, distillery, ice, soft drinks, and winery. Public supply is the source reported by the largest number of facilities (30,965) with the respective order of brewery, bottled water, winery, distillery, soft drinks, and ice. Self-supply is the source reported by the second largest number of facilities (10,267) with the respective order of winery, brewery, bottled water, distillery, soft drinks, and ice. Data available at doi:10.5066/P90Z125H.
November 22, 2023 at 8:42 PM
eazadpour.bsky.social
October #streamflow conditions across the U.S. 💧 
 
Dry conditions persisted throughout much of the U.S., while parts of New England and Puerto Rico saw wet conditions. 
 
#DataViz made with #rstats #dataRetrieval
 github.com/DOI-USGS/flo...
A tile map of the US showing streamgages by flow levels through the month of October 2023. For each state, an area chart shows the proportion of streamgages in wet, normal, or dry conditions. Streamflow conditions are quantified using percentiles comparing the past month’s flow levels to the historic record for each streamgage. During the month of October, much of the Central and Southern U.S. saw dry conditions, while regions such as New England and Puerto Rico saw wet conditions.
November 6, 2023 at 5:48 PM