quynhanh7102

quynhanh7102's Stars

• gedeck/practical-statistics-for-data-scientists

  Code repository for O'Reilly book

  Language:Jupyter Notebook2.8k1.8k

• andrewgbruce/statistics-for-data-scientists

  Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"

  Language:R1.1k651

• mooniak/textual-tools

  Tools to analyse text to gather various type design related data

  Language:Python182

• chardonnensp/Datastream-Worldscope-fundamental-dataset

  This guide aims to be a full instruction on how to download and merge Refinitiv (formerly Thomson Reuters) Datastream Worldscope data into one comprehensive dataset of yearly stock quoted financial statements.

  Language:R117

• worldbank/stata-visual-library

  Inspiration and code for data visualizatio in Stata, created and maintained by DIME Analytics.

  Language:Stata7934

• rsljr/Execucomp-to-Boardex-Mapping

  A mapping between Execucomp database and BoardEx database

  10

• LibrePDF/OpenPDF

  OpenPDF is a free Java library for creating and editing PDF files, with a LGPL and MPL open source license. OpenPDF is based on a fork of iText. We welcome contributions from other developers. Please feel free to submit pull-requests and bugreports to this GitHub repository.

  Language:Java3.6k597

• fkempf92/FactorData

  Calculates 103 firm characteristics from CRSP + Compustat directly in Python – no WRDS SAS cloud

  Language:Python2910

• CharlesCara/DatastreamDSWS2R

  Functions and a R5 class that allows data to be downloaded and uploaded to the LSEG Datastream database via the DSWS server

  Language:R209

• LSEG-API-Samples/Article.DataStream.Python.HowToCollectDatastreamIBESGlobalAggregateEarningsData

  In this article, we build the Python function Get_IBES_GA with ipywidgets Dropdowns to retrieve Institutional Brokers' Estimate System (IBES) Global Aggregate earnings data for country and regional sectors in an interactive way. With this function in CodeBook, no need to know how to code, it's as simple as click and play!

  Language:Jupyter Notebook31

• owid/notebooks

  Our World In Data jupyter notebooks

  Language:HTML7532

• xmarquez/democracyData

  Access and manipulate most standard scholarly measures of democracy

  Language:HTML8421

• tlamadon/pytwoway

  Two way models in python

  Language:Python247

• lucieluyiliu/CompustatGlobal

  SAS code for calculating global equity return and constructing country portfolios

  Language:SAS21

• athenianco/names-matcher

  Language:Python236

• bradhackinen/nama

  Fast, flexible name matching for large datasets

  Language:Python709

• talfco/clb-sentiment

  Start your journey into social media analysis of politicans by using Python (Tutorial)

  Language:Python217

• Christopher-Thornton/hmni

  📛 Fuzzy Name Matching with Machine Learning

  Language:Python25750

• donbowen/Open-Innovation-Dataset-Index

  a versioned .csv file that auto-updates from the i3 index google sheet

  Language:Python1

• beisenpress/41100-CEO-Comp-Project

  Language:R2

• lau-cloud/TidyTuesdaycode

  Language:HTML316

• isomorphisms/economics

  economic information you should know

  294

• ginmanga/DMPS

  Language:Python2

• ContextLab/storytelling-with-data

  Course materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).

  Language:Jupyter Notebook10492

• rfordatascience/tidytuesday

  Official repo for the #tidytuesday project

  Language:HTML6.9k2.4k

• milonemario/pilates

  Python Library for creating databases for Accounting, Finance, and Economic Research.

  Language:Python72

• pssperling/Director_compensation

  Language:Python2

• nloreedwards/boardex

  BoardEx Project

  Language:Stata2

• hessjacob/execucomp-boardex-project

  Language:Jupyter Notebook1

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python136k27.1k