Discussions
Issue with Bulk API using Python - Foot Traffic / Weekly Patterns
Hi,
Method for estimating the actual count in Neighborhood Patterns Plus
Hello Dewey team,
Historical Data for Verisk Auto Ownership
How would we access snapshots of this database from previous months/years?
Unekpected decay in footfall for Los Angeles 2023 (Advan Weekly Patterns)
Hello,
People Data Labs - Experience
The experience dataset is very large. Is there a way to filter it when using the API to download it? Can we apply those filters before downloading the dataset?
PDL Person - Job History
For each "PERSON_ID", does the dataset include their entire job history or only their current job? For example, if a given "PERSON_ID" held five different positions across three countries over the past five years, would all of those job changes appear in the data, or only the most recent one?
Assessor History file: sa_owner_1_group always missing?
I am exploring ATTOM's Assessor History files. I have downloaded a subset of the data for Cook County, IL, which includes Chicago. The file covers years 2021 and 2022. The variable "sa_owner_1_group", which is supposed to have the name of the owner, is always missing. Is this an error, or a problem with Chicago, or a problem with the years I selected?
How are age and state filtering defined in Consumer Profiles and Address History?
Hello,
Is it still necessary to normalize Advan Weekly and Monthly Patterns Data using the Home Panel Summary
In the (distant) past when we got Monthly and Weekly Patterns data from SafeGraph, when we wanted to scale, say, the number of visitors per day from a particular CBG, we would use the Home Panel Summary dataset in combination with the Census CBG population count to create a scaling factor that we could to impute visitor counts to an area from the raw visit counts (e.g. https://stanfordfuturebay.github.io/covid19/safegraph_normalization_explainer.html#:~:text=This%20number%20can%20be%20obtained,the%20actual%20number%20of%20visitors.)
Rhetorik company data: coverage
I’m curious about the types of companies included in this dataset. Does it only cover medium to large companies with a public or digital presence (such as websites, filings, partners, or tech stack)? Or are small, local businesses also included?