For information about the data, click the link here. https://github.com/rfordatascience/tidytuesday/tree/master/data/2018/2018-10-16

## # A tibble: 173 x 22
##        X  Rank Major_code Major Total   Men Women Major_category ShareWomen
##    <int> <int>      <int> <fct> <int> <int> <int> <fct>               <dbl>
##  1     1     1       2419 PETR~  2339  2057   282 Engineering         0.121
##  2     2     2       2416 MINI~   756   679    77 Engineering         0.102
##  3     3     3       2415 META~   856   725   131 Engineering         0.153
##  4     4     4       2417 NAVA~  1258  1123   135 Engineering         0.107
##  5     5     5       2405 CHEM~ 32260 21239 11021 Engineering         0.342
##  6     6     6       2418 NUCL~  2573  2200   373 Engineering         0.145
##  7     7     7       6202 ACTU~  3777  2110  1667 Business            0.441
##  8     8     8       5001 ASTR~  1792   832   960 Physical Scie~      0.536
##  9     9     9       2414 MECH~ 91227 80320 10907 Engineering         0.120
## 10    10    10       2408 ELEC~ 81527 65511 16016 Engineering         0.196
## # ... with 163 more rows, and 13 more variables: Sample_size <int>,
## #   Employed <int>, Full_time <int>, Part_time <int>,
## #   Full_time_year_round <int>, Unemployed <int>, Unemployment_rate <dbl>,
## #   Median <int>, P25th <int>, P75th <int>, College_jobs <int>,
## #   Non_college_jobs <int>, Low_wage_jobs <int>

Q1. Describe the sixth observation, using Major, Total, Major_category, ShareWomen, Sample_size, Unemployment_rate, and Median.

Answer: When looking at each observation, we notice that each one contains information pertaining to the label it is placed in. The sixth observation has the Major of Nuclear Engineering. The Major section has the major that pertains to that rank/corresponding number of the observation. The Total section pertains to the total amount of people that have graduate in that major field. Major_category tells us what the major caterogrizes under, Nuclear Engineering falls under the catergory of Engineering. Sharewomen descirbes the women as share of the total amount. This is in the form of a decmial but can be quickly converted to see the percentage. Sample_Size is the sample size of full-time, year-round only which is used for earnings. Unemployment_rate tells us the unemployment rate of that major. This is calculated by the unemployed divided by unemployed plus employed. Median is the median earnings of full-time, year-round workers.

Q2. Which major has the highest share of men?

Answer: The major with the highest share of men is Business Management & Adminstration

Q3. Which major has the highest median earnings?

Answer: The major with the highest median earnings is Petroleum Engineering. The median earnings of this major is $110,000.

Q4. Which major does the regression model predict to have the highest median earnings?

Answer: The highest median earning that the regression model predicts is Military Technologies.

Q5. Create the same scatterplot to examine the relationship between ShareWomen and Unemployment_rate.

Hint: Use the same code as above for the scatterplot, but convert the numbers on both axes to the percent format.

Q6. Decribe the relationship between ShareWomen and Unemployment_rate.

Hint: There are many resources available regarding how to interpret scatter plots. For example, Google something like, “interpreting scatter plots positive or negative”. Discuss whether the regression line is upward sloping, downward sloping, or more or less flat. What does this mean regarding the relationship between the two variables?

Answer: By looking at the graph we can determine that it is almost a constant line across. It however has a slight upward increase, meaning that the more upward this graph goes, the more Sharewomen & Unemployment will go up.

Q7. Which Major_category appears to have the lowest Unemployment_rate AND the smallest share of women?

Hint: Don’t consider Other but only the top four Major_category.

Answer: The Major_category that appears to have both lowest Unemployment_rate & smallest share of women is Engineering.

Q8. Hide the code but display the results of the code on the webpage.

Q9. Display the title and your name correctly at the top of the webpage.

Q10. Use the correct slug.