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Using the Retrosheet data, I found that from 1960 to 1971, his home home-run percentage was 6.72.
Using rigorously unscientific polling data, I found Burmese to be more pro-McCain than pro-Obama; based on similar methods, my wife discovered Republican presidents to be historically more popular with Iranians than Democratic ones.
While my results were chock-full of data, I found their interpretations underwhelming.
Within minutes, and after entering a bare minimum of data, I found a doctor near me, read some quick reviews of him and made an appointment for tomorrow morning.
Most of the data I found shows unemployment in my age group, lumping men and women together in one group.
Pairing the two sets of data, I found that commissions substantially reduce gerrymandering relative to unified governments.
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For the best historical data, I find that the most user-friendly site is run by TNS-Sofres.
On the unwillingness to process unpleasant data: I find the parallels between how some investors refuse to recognise the trends and our reaction to some of our environmental challenges very powerful.
Exploring gender elasticity differences for specific subsamples of the data, I find similar results across regions.
Using establishment data, I find that the share of establishments that invest in training increased by 4 6 percentage points.
Through the descriptive data, I find that potential illegal migrants are willing to accept a substantial risk of death.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com