# Tech Dividends – Part III

Director of Financial Services Practice at RStudio

In Part I and Part II Jonathan loaded the required R packages, and created a chart that helped to communicate yearly frequencies.

I expected the numbers to steadily increase year by year as companies became more mature and cash flow positive but that is not the pattern we see in that plot.

Now let’s create a quick chart of the last dividend paid by each of these 130 companies, using `slice(n())`. This time we’ll plot a dot with `geom_point()`.

``````nasdaq_dividends %>%
group_by(symbol) %>%
slice(n()) %>%
mutate(year = year(date)) %>%
ggplot(aes(x = year, y = dividends, color = symbol)) +
geom_point() +
scale_y_continuous(labels = scales::dollar)  +
scale_x_continuous(breaks = 2008:2019) +
labs(x = "", y = "div/share", title = "Nasdaq dividends") +
theme(legend.position = "none",
plot.title = element_text(hjust = 0.5)) ``````

Not quite as useful as a lof of the dots are right on top of eachother. We do see a couple of massive outliers. Let’s add the label for each symbol with `geom_label(aes(label = symbol))`.

``````nasdaq_dividends %>%
group_by(symbol) %>%
slice(n()) %>%
ggplot(aes(x = date, y = dividends, color = symbol)) +
geom_point() +
geom_label(aes(label = symbol)) +
scale_y_continuous(labels = scales::dollar)  +
scale_x_date(breaks = scales::pretty_breaks(n = 10)) +
labs(x = "", y = "div/share", title = "Nasdaq dividends") +
theme(legend.position = "none",
plot.title = element_text(hjust = 0.5)) ``````

MACK and FWP paid some huge dividends. Let’s investigate.

``````nasdaq_dividends %>%
filter(symbol == "MACK" | symbol == "FWP")``````
``````# A tibble: 2 x 3
symbol date       dividends
<chr>  <date>         <dbl>
1 MACK   2017-05-30     106.
2 FWP    2017-09-12      23.1``````

In the next installment of this series, Jonathan will remove the `geom_label` so we see just the dots again, this time by date instead of year.

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