Code and Data for the Social Sciences: A Practitioner's Guide
Digging up novel data. Designing statistical analysis. Writing up results. For many of us, most of the time, what it means is writing and debugging code
Download complete digital editions, study guides, and reference documents for Code As Data. All files are verified for readability across desktop e-readers, Kindle, tablets, and mobile devices in high-definition digital formats.
Click on any verified title in the search results below. A secure direct download link will be prepared with instant attachment delivery.
Yes, all documents are formatted for full compatibility across Adobe Acrobat, Amazon Kindle, Apple Books, and standard PDF viewers.
Digging up novel data. Designing statistical analysis. Writing up results. For many of us, most of the time, what it means is writing and debugging code
2 Jul 2026 Figure 1: Comparison of synthesized code data quality across human examples and code produced by Qwen2.5 Coder-32B, DeepSeek-V3, and Llama-3.1
11 Mar 2014 We and our two research assistants all write code that refers to a common set of data files stored on a shared drive. Our work is constantly
One is data flow edges prediction for learning representation from code structure, and the other is variable-alignment across source code and data flow for
Journals, research funders and research groups such as Innovations for Poverty Action are increasingly recognizing the value of research transparency. Research
To illustrate the impact of code data on the LLMs reasoning ability in the instruction tuning stage, we use the instruction tuning datasets that contain codes
While writing code is a core part of being a data scientist (and this book many more foundational skills must be acquired as part of this journey. Data
11 Aug 2026 Training data for MAI-Code-1.1-Flash was selected to maximize coverage of software engineering tasks. (PR creation, repository understanding
9 Jun 2024 We revisit code generation using LLMs for various data wrangling tasks, which show promising results particularly for data transformation tasks
If you're a researcher, learning how to code research data is an essential skill. Coding helps you identify patterns and trends in your data that you may
Python coding and data analysis skills are built from the ground up, with no prior coding experience assumed. The neces- sary background in computer science
Our initial hypothesis is that human factors associated with the software developers, like coding expertise, communication skills, and experience in the project
17 Apr 2025 In this work, we propose a data selection strategy in order to improve the effectiveness and efficiency of training for code-based LLMs. By
Better Code: Data Structures. Sean Parent | Principal Scientist. Page 2. © 2015 Adobe Systems Incorporated. Better Code. 2. ▫ Regular Types. ▫ Goal: Implement
They use Claude Code for automating routine data engineering tasks, troubleshooting complex infrastructure issues, and creating documented workflows for
16 May 2024 My replication package includes all necessary (final) data to reproduce all tables/figures/results in the main manuscript. 3b. My analysis uses
An ethical framework on data, AI, algorithmic or autonomous systems provides useful perspectives which are suitable for fostering moral evaluations in line with
With the refined seed code data, we then prompt large language models (LLMs) to use this code as inspiration for generating Verilog coding problems similar to
30 Apr 2025 LLMs in translating data patterns into executable code for data-wrangling tasks, their system is con- strained by the language model's
The proposed framework comprises three key components, namely keyword expansion, data collection, and data analytics. Specifically, we utilize topic modeling