Mint got the job done with some extra manipulation. 

@JerryllYes I completely understand have been a professional data scientist since 2018 before i swapped it out for real estate development 2 years ago.

We break all our cost down by line items and put them into a data base of past projects. 

For example, your point about something like a new data center or manufacturing expansion is interesting because those are structural shocks that can move a market off its current equilibrium.

Hello everyone.I recently graduated with my MBA in Business data analytics. 

Hey Dave, lots of investors build their buyers list by tracking activity from local public records especially recent cash purchases, LLC transfers, and repeat buyers in the county.It helps you identify who’s actually buying right now instead of collecting random emails.If you ever want to talk through ways to source or organize that data efficiently, happy to share what I’ve seen work well for others.

How are you scoring your leads right now - gut feel or actual data?

✔ Clean data✔ Multi-touch outreach✔ CRM tracking✔ 90-day follow-up cyclesWhat would you add?

The average duration of unemployment has reached 25.7 weeks — the highest level in four years.Why this matters: A cooling labor market can slow economic growth and may eventually create pressure for lower interest rates.Private Hiring Looks Better — But Still UnevenSeparate data from ADP showed 63,000 private-sector jobs added in February, beating expectations.But the gains were concentrated in smaller companies.Small businesses added jobsMid-sized companies cut jobsLarge employers added only modestlyAnother signal: the pay increase workers get when switching jobs has narrowed to the smallest gap on record.Why this matters: Employers appear to be hiring more cautiously, another sign that the labor market is losing steam.Other Indicators Point to Cooling HiringSeveral additional labor market signals reinforce the same trend.Layoff announcements have surged early this year, with January and February layoffs among the highest for those months since 2009.At the same time, hiring plans have dropped sharply.

All of the data on New Braunfels properties came from Mashvisor, which uses AI to generate their estimates.We were confused as to how they could provide the cap rate estimates as evidence without showing which properties they were referring to nor any of the data used to calculate the estimate.They also provided a HUGE Equity Comparison table, containing the current year's unprotested valuations for half of New Braunfels, which they apparently used to get the value for "GBA Price per Sq Ft" for the "Income Calculation Worksheet".So their "Indicated Value" was based on an inflated "GBA Price per Sq Ft" value and zeroed-out "Vacancy", "Management", and "Collection Loss" values.During the protest hearing the appraiser went through some of the data, but he constantly found and (supposedly) fixed many mistakes on-the-fly during the hearing.