Packages to estimate Multidimensional Regression Discontinuity (MDRD), Difference-in-Discontinuity (DiD), Conditional Regression Discontinuity (CRDD), and Difference-in-Slope (DiS)
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Updated
May 30, 2024 - Stata
Packages to estimate Multidimensional Regression Discontinuity (MDRD), Difference-in-Discontinuity (DiD), Conditional Regression Discontinuity (CRDD), and Difference-in-Slope (DiS)
Analyzed 157 US Energy stocks (Jan-Dec '23), identified Bullish/Bearish trends and risk categories. Used KMeans, Hierarchical, Spectral Clustering, revealing balanced returns and low volatility. Integrated data with Kafka for seamless subscriptions.
Ophelia a PySpark analytics wrapper.
Spark RDD with Lucene's query and entity linkage capabilities
The 2022 Big Data Bowl data contains Next Gen Stats player tracking, play, game, player, and PFF scouting data for all 2018-2020 Special Teams play. Here, you'll find a summary of each data set in the 2022 Data Bowl, a list of key variables to join on, and a description of each variable.
PySpark RDD and DataFrame Examples
C# and F# language binding and extensions to Apache Spark
Backend code for a Friend Recommendation system using PySpark RDD, leveraging mutual friend connections in a dataset.
Guide to Clojure REPL Driven Development with Emacs Doom
Pyspark serves as a Python interface to Apache Spark, enabling the execution of Python and SQL-like instructions for the manipulation and analysis of data within a distributed processing framework.
All in one
We manage employer-employee administrative data and elections data to estimate the causal impact of electing a STEM candidate on epidemiological outcomes
Evaluates the execution time differences between RDD (Resilient Distributed Datasets) and DataFrame data structures in Apache Spark. Also takes into account the file format being used, such as CSV or Parquet.
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