Richard Brath, a partner at Uncharted Software and the author of Graph Analysis and Visualization, recently completed his Ph.D. thesis on using text in data visualization. Recently, Richard talked about his thesis with data visualization enthusiasts at Automattic. Before Richard’s talk, it seemed me that text has been treated as a “second-class citizen” in the data visualization world. But even I was surprised about the wealth of visual information that we can offer using text.
Feeling some despair headed back to Georgia, and the U.S. generally after a month in India.
It’s about this question: Will Brian Kemp govern Georgia like Lester Maddox?
Lester Maddox became the governor of Georgia during my childhood. He was openly racist, was famous for selling axe handles with which to beat down civil rights activists, and actively fought a state memorial immediately after Dr Martin Luther King was assassinated.
Until Brian Kemp, I don’t remember any Georgia governor who so actively and openly embraced race based voter suppression and racist immigration messages.
Yet Maddox apparently went on the most aggressive hiring of African Americans in the state’s history.
I’m finding solace knowing that people of color in Georgia nonviolently sacrificed their livelihoods and their lives to end the Maddox mode of governance.
Those sacrifices opened the door for people like Stacey Abrams, Andrew Young, and Jimmy Carter.
Our grandmothers and uncles and neighbors did this with an inner soul power (to quote Dr King) that could not be suppressed by axe handles or tear gas. I find strength knowing that we can call on that soul power to do the same again.
Last weekend we spent a beautiful afternoon with cousins at the Sri Aurobindo Ashram in Delhi.
There was a lecture going on about the divine inspiration of Calculus — a meditation on how both Newton and Leibniz came to discoveries of infinite series and limits that led to the starting point for advanced maths.
As I pondered the spirit of The Mother, my mind went back to the visit we’d taken to the Jantar Mantar in Jaipur — an astronomical observatory built around the time of Newton’s discovery. Surely, a society that had the capacity to develop highly accurate astronomical predictions had the sophistication to develop the machinery for dealing with infinitesimal rates of change.
Newton — or more likely Leibniz — was indeed late to the game by at least 200 years!
Keralan mathematician Nilakantha Somayaji in the 1400s seems to have worked out machinery for dealing with infinitesimal velocity and converging series.