On page 166 of her 1952 book, in a chapter titled “The Bar Chart”, Spear shows very clearly an early form of a chart type called the Box Plot that she calls the “Range Bar.” …..
What’s interesting about this to me is that if you look up the Wikipedia page for Box Plot, at the present moment, you will not find Spear’s name appearing anywhere in the article. You will, however, read the following:
“Since the mathematician John W. Tukey introduced this type of visual data display in 1969, several variations on the traditional box plot have been described.”
The way I see it, the range bar appearing in Spear’s book is close enough in form to the box plot to warrant a mention on this Wikipedia page. Hopefully, by the time you read this, you’ll be able to find an updated page for the box plot with her name included on it.
On trips through Europe, Nightingale displayed a natural inclination to record data: distance and times traveled were neatly cataloged in her journal. She hoarded information pamphlets, especially those concerning laws, social conditions, and benevolent institutions. In a Parisian salon, Mary Clarke showed Nightingale how bold, independent, intelligent, and equal to men a woman can be.
In Egypt, Nightingale cruised the Nile and discovered ancient mysticism. Near Thebes, God called Florence Nightingale to nursing. God called me in the morning and asked me would I do good for him alone without reputation. But rich kids do not become nurses. Nursing was below Nightingale’s class. Her family disapproved.
3. Display distribution (supply) and administration (demand) data together for a more complete picture of the vaccine rollout.
To make sense of what was happening with COVID cases, charts from groups like the COVID-19 Tracking Project clustered trends on testing, cases, hospitalizations, and deaths for a more complete picture. Similarly, we can’t look at data on doses administered in isolation to understand how a country or state is performing on vaccine rollout.
The New York Times displays a combination of the percent of people given at least one shot or two shots and information about the doses distributed and the share of doses used. Together, these metrics give a high level snapshot of information about supply distributed and administered. Note that understanding demand requires knowing more than how many people received shots though, which is likely influenced by supply.