NEEDS TO BE IN PYTHON

Your program will be processing a file with data obtained from the Social Security Administration. They provide a web site showing the distribution of names chosen for children over the last 100 years in the US www.ss.govOACT/babynamesD The data represent the 1000 most popular boy and girl names for children born in the US going back to 1900. The data can be boiled down to a single text file as shown below. On each line we have the name, followed by the rank of that name in 1900, 1910, 1920,..., 2000 (11 numbers). A rank of 1 was the most popular name that year, while a rank of 997 was not very popular. A 0 means the name did not appear in the top 1000 that year at all. The lines are in alphabetical ordeir. Sam 58 69 99 131 168 236 278 380 467 408 466 Samantha 000000 272 107 26 5 7 Samara 0000000000 886 Samir 0 0000000 920 0 798 Sammie 537 545 351 325 333 396 565 772 93000 Sammy 0 887 544 299 202 262 321 395 575 639 755 Samson 0000000000 915 Samuel 31 41 46 60 61 71 83 61 52 35 28 Sandi 0 000 704 864 621 695 0 00 Sandra 0 942 60650 6 12 11 39 94 168 257 3 Note, a 0 in the data file means the name was not ranked in the top 1000 for the corresponding decade. It has some unknown rank greater than 1000. When you store a 0 from the data file in your Dictionary objects you may use something other than 0 if you think it will make your algorithms easier to implement. (Recall altering the way data is stored to fit our needs is part of the magic of We see that Sam was #58 in 1900 and is slowly moving down. Samantha is moving up strong to #7 Sam r barely appears in 1980, but by 2000 is up to #798. The database is for children born in the US, so ethnic trends show up when immigrants have kids