tidycensus
Load US Census boundary and attribute data as 'tidyverse' and 'sf'-ready data frames in R (by walkerke)
hoopR
An R package to quickly obtain clean and tidy men's basketball play by play data. (by sportsdataverse)
tidycensus | hoopR | |
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13 | 6 | |
625 | 78 | |
- | - | |
7.5 | 5.9 | |
25 days ago | 9 days ago | |
R | R | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
tidycensus
Posts with mentions or reviews of tidycensus.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-06.
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US county names dataset?
You could use the tidycensus package to get the information you need
- ACS Data in easily Digestable Format
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Help!! Dataset required for Supervised Linear Regression | Learning purposes
the census (accessible using tidycensus or you can download bulk data straight from their website)
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People who live near other people vote for Democrats
Data sources: Minnesota Secretary of State website, American Community Survey via tidycensus
- A blog post on learning R for spatial data science
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Anyone know if there's a US Time Zones by Zip Code DB out there
If you happen to use R the tidycensus package is absolutely fantastic.
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(MAPS) There are about 1,800 Ukrainian-born Hoosiers and 8,000 Hoosiers with Ukrainian ancestry
Thanks! I used the tidycensus package in RStudio https://walker-data.com/tidycensus/
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Finding Usable US Census Data
R has a few packages for this and the first that comes to mind is tidycensus (https://walker-data.com/tidycensus/).
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NJ Population mapping by block group
If you have some facility with R, then the 'tidycensus' package is your answer here. You can get the latest ACS (2019) data at the block group level with that. Alternatively, NHGIS from the IPUMS folks offers access to census tabular and spatial data in a straightforward format.
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SF object pivot/spread results in improperly pivoted object (NA values)
This indicates the polygons are different - I would ASSUME that the shape for a US county does not change too much (or ever) so I feel like its an issue with the package [tidycensus](https://walker-data.com/tidycensus/).
hoopR
Posts with mentions or reviews of hoopR.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-06.
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Schedule Sheet Mon 2/27
Thankfully, I've made use of the hoopR package which lets me get data that is up to date, primarily by pulling info from ESPN's APIs. While that does most of the work, there's tweaking that I need to do (most particularly for streamed game broadcasts that aren't ESPN3/ESPN+) but it usually goes fairly swimmingly.
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Help!! Dataset required for Supervised Linear Regression | Learning purposes
hoopR (college and pro basketball)
- Resources for Sports Analytics
- NBA individual player stats for every game.
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Where Can I get Excel File for Regular Season Schedule?
https://github.com/saiemgilani/hoopR Digging around through here will probably help you find a csv which is easy to convert to excel
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An empirical analysis of the relationship between every NBA players' astrological sign and on-court performance in the 2020-2021 season.
Next, we’ll look at a few measures of performance on the court to see whether certain signs are better or worse suited to particular aspects of the game. For each of these, I took player box score statistics (sourced from https://github.com/saiemgilani/hoopR), grouped them by the player’s astrological sign, and calculated their average numbers through the 2020-21 season. First, we’ll look at scoring -- the chart below shows each sign’s average points per game.
What are some alternatives?
When comparing tidycensus and hoopR you can also consider the following projects:
latlong - The latlong package maps from a latitude and longitude to a timezone.
nbastatR - NBA Stats API Wrapper and more for R
sf - Simple Features for R
sportsipy - A free sports API written for python
r4ds - R for data science: a book
ncaahoopR - An R package for working with NCAA Basketball Play-by-Play Data
dplyr - dplyr: A grammar of data manipulation
nba-sql - :basketball: An application to build an NBA database backed by MySQL, Postgres, or SQLite