OK, so I've gotten the data sets for 5 stations in and around Fort Worth and imported into Tableau. First, a few things. Your zip code shows that you're in Fort Worth. Weatherford doesn't appear to be your "hometown" NOAA station. There are stations much more central to Fort Worth, which you can find by going here.Unlike the NYT I use the entire unaltered NOAA data series rather than an adjusted cherry-picked one like the Times uses and it paints a completely different picture.
What I did find about Weatherford is probably what you already knew when you selected it. It's a bit of a darling for your pal Heller. It has a cooling bias in the raw data that doesn't match with any of the regional stations:
Even Anthony Watts and Judith Curry used TOBS adjustments on the data to correct for this. And while many "skeptics" decried TOBS as "fake" or a "scandal," when pairwise homogenization was introduced, it confirmed those adjustments almost identically. You've posted that you're a triple-degreed scientist. Given that, I'm sure that you can understand the scientific value of removing instrumentation bias, yes? Berkeley Earth doesn't use TOBS adjustments - they show the raw data and perform comparisons to neighbor stations, and as new statistical methods are introduced, they continue to reinforce the effect of a TOBS bias.
It's possible you don't know the history of data collection at these stations. They were done primarily by volunteers on glass bulb and minimum/maximum thermometers at different times of day per station, but mainly in the afternoon when they were done with their work day. In the late 1950s, this was homogenized to a morning recording period. Data beginning in about 1960 will omit instrumentation and reading errors, along with the change in this time of observation bias. That TOBS bias introduces about a 0.3C cooling bias on average. This has been confirmed repeatedly.
If you think that selecting unique raw station data as a standalone analysis is better science than using regional averaging and homogenization, I would like to hear your scientific explanation for doing so. I'm also happy to collaborate with you on Tableau with your regional data but only if you are willing to use accepted scientific and statistical methods that aren't unique to climate data. The same methods scientists use on any sets of data series.
Let me know, and I'll send you an invite to collaborate. I'm certain it would be educational for both of us.