# 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~ 0.0696 Inform~   173039940 USD           
##  2 MSFT   Microsoft~ 59491810   25881~ 0.0573 Inform~    80524710 USD           
##  3 AMZN   Amazon.co~ 02313510   20000~ 0.0487 Consum~     4448676 USD           
##  4 FB     Facebook ~ 30303M10   B7TL8~ 0.0240 Commun~    25531082 USD           
##  5 GOOGL  Alphabet ~ 02079K30   BYVY8~ 0.0168 Commun~     3188626 USD           
##  6 GOOG   Alphabet ~ 02079K10   BYY88~ 0.0164 Commun~     3105180 USD           
##  7 BRK.B  Berkshire~ 08467070   20733~ 0.0150 Financ~    20661764 USD           
##  8 JNJ    Johnson &~ 47816010   24758~ 0.0138 Health~    27998392 USD           
##  9 V      Visa Inc.~ 92826C83   B2PZN~ 0.0122 Inform~    17929224 USD           
## 10 PG     Procter &~ 74271810   27044~ 0.0121 Consum~    26301280 USD           
## # ... with 495 more rows

Q1 How many rows does the data have?

505 ## Q2 How many columns does the data have? 8 ## Q3 How many companies are listed in S&P500 Index? 505 ## 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. Apple, Microsoft, Amazon ## Q5 List four sectors that are represented in S&P500 Index. Hint: Use the sector column of the data. Information Technology, Communication Services, Fincanials, 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) Industrials

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

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.

ok ## Q10 Use the correct slug.