STLPD monthly reports combined into single year reports.
The included python script can be used to merge all data into a single csv file.
CRS info: EPSG:102696, NAD_1983_StatePlane_Missouri_East_FIPS_2401_Feet encoding: utf-8
Year | January | February | March | April | May | June | July | August | September | October | November | December | total |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2008 | 5,516 | 4,468 | 5,427 | 5,899 | 5,935 | 5,948 | 6,348 | 6,416 | 6,612 | 5,962 | 5,260 | 4,820 | 68,410 |
2009 | 4,718 | 4,443 | 5,127 | 4,961 | 5,373 | 5,380 | 5,816 | 5,930 | 5,633 | 5,591 | 5,367 | 4,677 | 63,046 |
2010 | 4,179 | 3,448 | 4,777 | 5,096 | 4,927 | 4,869 | 5,488 | 5,460 | 5,245 | 5,341 | 4,689 | 4,310 | 57,830 |
2011 | 4,163 | 3,510 | 4,581 | 4,945 | 5,191 | 5,311 | 5,211 | 5,005 | 4,468 | 4,684 | 4,259 | 3,919 | 55,247 |
2012 | 3,671 | 3,354 | 4,367 | 4,905 | 4,975 | 4,853 | 5,139 | 5,038 | 4,437 | 4,571 | 4,096 | 3,981 | 53,887 |
2013 | 4,421 | 3,408 | 4,010 | 4,344 | 4,891 | 4,752 | 4,977 | 4,804 | 4,771 | 4,117 | 3,850 | 3,625 | 51,970 |
2014 | 3,280 | 2,932 | 3,697 | 3,997 | 4,196 | 4,235 | 4,383 | 4,337 | 4,481 | 4,242 | 3,976 | 4,120 | 47,876 |
2015 | 3,983 | 3,188 | 4,447 | 4,776 | 4,456 | 4,434 | 4,826 | 4,709 | 4,509 | 4,380 | 3,853 | 3,674 | 51,235 |
2016 | 3,900 | 3,408 | 4,011 | 3,999 | 4,430 | 3,339 | 4,554 | 4,982 | 4,387 | 4,586 | 3,952 | 3,879 | 50,426 |
2017 | 3,936 | 3,548 | 3,981 | 3,969 | 4,548 | 4,210 | 4,463 | 4,503 | 3,756 | 4,462 | 3,847 | 3,763 | 48,986 |
2018 | 3,826 | 3,185 | 3,629 | 3,735 | 4,013 | 4,282 | 4,257 | 4,402 | 4,096 | 4,087 | 3,559 | 3,672 | 46,742 |
2019 | 3,527 | 3,198 | 3,605 | 4,064 | 4,133 | 4,549 | 4,701 | 4,624 | 4,679 | 4,283 | 3,803 | 3,735 | 48,901 |
2020 | 3,943 | 3,493 | 3,417 | 6,028 | 3,309 | 4,371 | 4,101 | 4,193 | 4,024 | 3,693 | 3,843 | 3,319 | 47,734 |
- Additional columns are present in 2017May.
- Python 3
- Pandas library (pip install pandas)
-
Clone the repo
git clone https://github.com/dustinturp/STLCallsToService.git
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Use the script. (command may look different depending on how you installed Python) Navigate to the folder containing the csv files via terminal.
python3 pandas_join_files.py
- Enter a name for the combined file.
- Charts
- CLI prompts
- Error handling
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