Tipsheets

Browse more 5,000 tipsheets from our national conferences and Watchdog Workshops on how to cover specific beats, conduct a great interview and learn countless tips on where to find the information you need.

Logged-in members can download any tipsheet, for free. Contact the Resource Center 573-882-3364 or [email protected] for questions.

  • Design for non-designers

    Anyone can improve the design and usability of a journalistic project (from a basic story page to an interactive graphic) with a few simple fixes. Even if you have zero experience in design and concepts like "alignment" and "contrast" seem like technical jargon, this is for you.

    Tags: design; interactive; graphics

    By Angelica McKinley; Lena Groeger

    2018

  • R: Machine learning and data models Github repo

    Take your statistical analysis skills to the next level when you learn how to measure the relationships within correlated and clustered data in R. https://github.com/maryryan/R_MLandDataModels

    Tags: r; machine learning; data; models

    By Mary Ryan

    2018

  • R: Machine Learning and Data Models

    So you’ve mastered the art of the linear regression, eh? You can build a multiple regression model with the best of them and interpret the coefficients like a pro. But what happens when you get data that isn’t random and independent? Sometimes we have pockets or clusters of data in our dataset that are more similar to each other than they are to the rest of the dataset. In medical data, these could be patients that each came in several times to get their heartrate monitored; in more publicly available data, these could be average standardized test scores for several counties over 10 years. These all revolve around the idea that datapoints from the same cluster are likely to behave similarly. We call data where people/cities/clusters have multiple datapoints longitudinal data, and in this tutorial we’ll learn how to build appropriate models for them using R. file:///C:/Users/acmwx7/Downloads/R_MLandDataModels_Notebook.nb.html

    Tags: r; machine learning; data; models

    By Mary Ryan

    2018

  • Conversation: Journalism educators roundtable

    This conversation was between educators who teach a data course or are thinking about starting one.

    Tags: data; education; teachers; university; school; college

    By Mark Horvit; Mindy McAdams

    2018

  • Accessing Amazon's IRS Form 990 public data

    Run through some useful programming recipes for accessing Amazon's public feed of IRS Form 990 data. The scripts you use will be written in PHP, but the concepts can be generalized to any language.

    Tags: programming; amazon; 990; irs

    By Michele Tranquilli

    2018

  • Intro to Machine Learning Tipsheet

    Learn how to use machine learning to save you lots of time in the cleaning and preparation of data — deduplication, entity extraction, parsing and classifying.

    Tags: python; machine learning; parsing; classifying; cleaning

    By Forest Gregg; Jean Cochrane

    2018

  • Demographics: Beyond Census

    Demographics are life, and the way we live shapes everything else we write about. And it's not just Census numbers: When it comes to demographic data, the Census Bureau isn't the only game in town. Many institutions and agencies run surveys or programs that can be mined for details about people and housing.

    Tags: demographics; data; surveys; alternative

    By Paul Overberg

    2018

  • Beyond Census: 10 alternative demographics sources in 10 minutes

    http://slides.com/timhenderson/beyondcensus#/ Demographics are life, and the way we live shapes everything else we write about. And it's not just Census numbers: When it comes to demographic data, the Census Bureau isn't the only game in town. Many institutions and agencies run surveys or programs that can be mined for details about people and housing.

    Tags: demographics; data; surveys; alternative

    By Tim Henderson

    2018

  • Demographics beyond the Census

    Demographics are life, and the way we live shapes everything else we write about. And it's not just Census numbers: When it comes to demographic data, the Census Bureau isn't the only game in town. Many institutions and agencies run surveys or programs that can be mined for details about people and housing.

    Tags: demographics; data; surveys; alternative

    By D'Vera Cohn

    2018

  • Setting up a reproducible data analysis workflow in R

    The goal of reproducible data analysis is to tie specific instructions to data analysis and experimental data so that scholarship can be recreated, better understood and verified. https://andrewbtran.github.io/NICAR/2018/workflow/docs/01-workflow_intro.html

    Tags: reproducible; analysis

    By Andrew Tran

    2018