The attached file sales_transactions.txt contains sales transactions. Each transaction is placed on a separate line, and consists of space separated fields containing (from left to right) the date, time and value (i.e. dollar amount) of the sales transaction respectively. Write a Python program called sales_analytics.py to find and display the median transaction value. sales_transactions - Notepad File Edit Format View Help 2022110900:00:00$879.83 20221109 2022110900:20:0000:40:00$879.88$1171.90 2022110901:00:00$1017.67 2022110901:20: 00$2859.5 2022-11-09 01:40:00 $642.92 2022110902:00:00$893.73 2022110902:20:00$2184.0 2022110902:40:00$1351.7 2022110903:00:00$291.13 2022110903:20:00$475.17 2022110903: 40:00$706.18 2022-11-09 04:00:00 $1090.75 2022-11-09 04:20:00 $892.9 2022110904:40: 00$906.71 2022-11-09 05:00:00 $2381.61 2022110905:20:00$1991.75 2022110905:40: 00$775.13 2022-11-09 06:00:00 $1618.5 2022110906:20:00$955.0 2022110906:40:00$490.69 2022-11-09 07:00:00 $855.89 2022110907:20:00$139.14 2022-11-09 07:40:00 $1501.49 202211 0908:00:00$1499.78 2022110908:20:00$686.80 2022110908:40:00$732.7 2022-11-09 09:00:00 $665.30 2022110909:20:00$1852.37 2022110909:40:00$2374.13 2022110910:00:00$2091.13 2022110910:20:00$1666.66 2022-11-09 10:40:00 $377.3 2022110911:00:00$2308.56 begin{tabular}{|l|l|l|l} hline Ln 5, Col 28 & 100% & Windows (CRLF) & UTF- 8 end{tabular}.