<commit_before># NEXRAD Data Processing and ETL

Looking into processing  [NEXRAD Level III Precipitation Data](http://www.ncdc.noaa.gov/data-access/radar-data/nexrad-products) into a more
usable format for multiple projects.<commit_msg>updated readme on NEXRAD<commit_after># NEXRAD Data Processing and ETL

Looking into processing  [NEXRAD Level III Precipitation Data](http://www.ncdc.noaa.gov/data-access/radar-data/nexrad-products) into a more
usable format for multiple projects.

## Notes

* Running by pulling files from S3 individually takes too long to be practical,
will need to use Apache Spark with S3 as the dataset and a list of keys including
"KLOT"
* Need to generate the list of keys which include "KLOT" because the file structure
is "YEAR/MONTH/DAY/STATION/FILES"
{'fraction_non_alphanumeric': 0.07279693486590039, 'fraction_numerical': 0.002554278416347382, 'mean_word_length': 4.984732824427481, 'pattern_counts': {'":': 0, '<': 3, '<?xml version=': 0, '>': 3, 'https://': 0, 'lorem ipsum': 0, 'www.': 2, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '1417264', 'n_tokens_mistral': 242, 'n_tokens_neox': 228, 'n_words': 94}