## # 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 client company’s data. Consider the following:

of downturns in sale.

Bank of New Hampshire

timing The sales may lead or coincides with the overall economy.

depth The Bank of New Hampshire sale is hugely volatile relative to the overall economy.

duration The downturn in sales spikes tremendously throughout various different quarters throughout the many years.