## # A tibble: 548 × 5
## # Groups:   symbol [4]
##    symbol date       price   change text                
##    <chr>  <date>     <dbl>    <dbl> <glue>              
##  1 GDPC1  1947-01-01 2034. NA       1947.1,
## Growth: NA   
##  2 GDPC1  1947-04-01 2029. -0.00267 1947.2,
## Growth: -0.3%
##  3 GDPC1  1947-07-01 2025. -0.00207 1947.3,
## Growth: -0.2%
##  4 GDPC1  1947-10-01 2057.  0.0156  1947.4,
## Growth: 1.6% 
##  5 GDPC1  1948-01-01 2087.  0.0150  1948.1,
## Growth: 1.5% 
##  6 GDPC1  1948-04-01 2122.  0.0165  1948.2,
## Growth: 1.7% 
##  7 GDPC1  1948-07-01 2134.  0.00573 1948.3,
## Growth: 0.6% 
##  8 GDPC1  1948-10-01 2136.  0.00112 1948.4,
## Growth: 0.1% 
##  9 GDPC1  1949-01-01 2107. -0.0138  1949.1,
## Growth: -1.4%
## 10 GDPC1  1949-04-01 2100. -0.00341 1949.2,
## Growth: -0.3%
## # … with 538 more rows

Analyze your company’s data. Consider the following:

of downturns in sale

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