Please solve using python and as soon as possible thank you!
IMPORTANT: For the questions below do not use any loops. All data extraction can be done using Boolean/relational indexing. 1. Download the file, employment_data. txt that contains data for 7 indicators. a. Import the file data into a numpy array. b. Create a plot that compares the employment rate (5th column in the file) with the population (last column in the file). c. Find the first-degree polynomials for the curve fitting these values and produce a plot of the curve in the format shown below. 2. Download the files: cnames. txt and cdata. txt. The first file contains the names and regions of a set of countries. The second file contains quality of life indicator data for the same set of countries in the first file, in the same order. 3. Create a Python script that does the following: a. Using loadtxt, load the country names and regions into a numpy array, c_names, and the quality of life indicator data into a numpy array, data. b. Select all rows from data where the female fertility rate (fertility_per_woman) is below 3 and store as fertility_under_3. c. Store the country/region data (asia_countries) and indicator data (asia_data) for all countries in Asia. d. Using the data from the appropriate numpy arrays, create the plots shown below. Figure 1 Hint: plt.xticks ( rotation =45 ) rotates the ticks on the x-axis. 83,234.289,235.6,159,107.608,1947,60.323 88.5,259.426,232.5,145.6,108.632,1948,61.122 88.2,258.054,368.2,161.6,109.773,1949,60.171 89.5,284.599,335.1,165,110.929,1950,61.187 96.2,328.975,209.9,309.9,112.075,1951,63.221 98.1,346.999,193.2,359.4,113.27,1952,63.639 99,365.385,187,354.7,115.094,1953,64.989 100,363.112,357.8,335,116.219,1954,63.761 101.2,397.469,290.4,304.8,117.388,1955,66.019 104.6,419.18,282.2,285.7,118.734,1956,67.857 108.4,442.769,293.6,279.8,120.445,1957,68.169 110.8,444.546,468.1,263.7,121.95,1958,66.513 112.6,482.704,381.3,255.2,123.366,1959,68.655 114.2,502.601,393.1,251.4,125.368,1960,69.564 115.7,518.173,480.6,257.2,127.852,1961,69.331 116.9,554.894,400.7,282.7,130.081,1962,70.551 E
