# Load packages
library(tidyquant) 
library(tidyverse) # for count() function

# Import S&P500 Stock Index
SP500 <- tq_index("SP500")
SP500
## # A tibble: 505 x 8
##    symbol company    identifier sedol  weight sector  shares_held local_currency
##    <chr>  <chr>      <chr>      <chr>   <dbl> <chr>         <dbl> <chr>         
##  1 AAPL   Apple Inc. 03783310   20462~ 0.0667 Inform~   174650100 USD           
##  2 MSFT   Microsoft~ 59491810   25881~ 0.0558 Inform~    81274030 USD           
##  3 AMZN   Amazon.co~ 02313510   20000~ 0.0479 Consum~     4490004 USD           
##  4 FB     Facebook ~ 30303M10   B7TL8~ 0.0237 Commun~    25768718 USD           
##  5 GOOGL  Alphabet ~ 02079K30   BYVY8~ 0.0166 Commun~     3218310 USD           
##  6 GOOG   Alphabet ~ 02079K10   BYY88~ 0.0163 Commun~     3134044 USD           
##  7 BRK.B  Berkshire~ 08467070   20733~ 0.0154 Financ~    20853808 USD           
##  8 JNJ    Johnson &~ 47816010   24758~ 0.0141 Health~    28258660 USD           
##  9 V      Visa Inc.~ 92826C83   B2PZN~ 0.0123 Inform~    18095848 USD           
## 10 PG     Procter &~ 74271810   27044~ 0.0122 Consum~    26545804 USD           
## # ... with 495 more rows

Q1 How many rows does the data have?

505 rows

Q2 How many columns does the data have?

8 columns

Q3 How many companies are listed in S&P500 Index?

505 companies

Q4 What are the top three stocks that have the greatest influence on ups and downs in S&P500 Index?

Hint: Use the weight column of the data. 1st Apple 2nd Microsoft 3rd Amazon

Q5 List four sectors that are represented in S&P500 Index.

Hint: Use the sector column of the data. Information Technology,Consumer Discretionary,Communication Services, Financials, Health Care

Q6 What is the symbol of Netflix?

Hint: Use the sector column of the data. NFLX

Q7 What sector has the largest represention in S&P500 Index in terms of number of stocks.

Hint: Insert a R code chunk below, type the following code: count(SP500, sector, sort = T)

count(SP500, sector, sort = T) 
## # A tibble: 11 x 2
##    sector                     n
##    <chr>                  <int>
##  1 Industrials               73
##  2 Information Technology    71
##  3 Financials                66
##  4 Health Care               62
##  5 Consumer Discretionary    61
##  6 Consumer Staples          33
##  7 Real Estate               31
##  8 Materials                 28
##  9 Utilities                 28
## 10 Communication Services    26
## 11 Energy                    26

Answer: Industrials

Q8 Hide the messages, but display the code and its results on the webpage.

Hint: Use message, echo and results in the chunk options. Refer to the RMarkdown Reference Guide.

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

Q10 Use the correct slug.