Below is a sample of 8 different techniques for visualization. Is that all you need to know? The short answer is — if yo

While Jeff Bezos was building Amazon from a garage into one of the most powerful companies on earth and becoming the richest businessmen of this age, the world knew very little about his wife, MacKenzie, a novelist and a mother of four who helped start Amazon from that garage. Even after their divorce last year, accompanied by a public affair and scandal, thrust MacKenzie Scott (the name she took after the split) into the spotlight, she remained a private and elusive figure. Now, Scott, one of the richest women in the world, a billionaire tens times over, announced in July that she was giving away $1.7 billion to a wide swath of nonprofits, from historically Black colleges to a crisis text line. The gift was stunning in scale and in approach: Scott was making a mark as a new kind of philanthropist.

With a gift of that size, Scott could’ve built a cancer center, had a museum wing named after her, made a college rededicate itself in her name. Or, like virtually every other person who’s made significant amounts of money from tech, she could’ve created an organization to dole out grants based on her notions about how best to fix social issues. She chose another route.

The purpose of this article was to put in one place most of the data wrangling and visualization techniques you’d need as a beginner or intermediate time series analyst. First, we saw how to convert an ordinary dataframe into a powerful datetime object and put that into use for filtering and visualizing. In the second part, we’ve created 8 different plots using different techniques to visualize time series. The next step would be to go ahead and pick a different dataset, reproduce the results and play with different plotting parameters.

Last, but not least, remember we’ve created wide-form data in the beginning and now it’s time to put that into use. Using the visualization technique below we are now seeing trends in data for each month separately.

Bill Gates Enters His Third Act: Ruthless Nerd Savior After going from relentless competitor to sweater-wearing do-gooder, he’s becoming the merciless samaritan we needmarker.medium.com

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emotional unavailability started can help in healing. Visit the past, but don’t live there. When focusing on being more present for each other, reflecting on the past is needed in order to understand what direction to take in the relationship, but stay forward-focused together.

Although Scott could not be reached for an interview (requests were made through multiple representatives, including her book agent, her divorce lawyer, and her former employees), interviews with friends, schoolmates, instructors, associates, and former co-workers of Scott’s, along with previously unreported public documents, reveal her complicated relationship with money, tracing back to the financial upheaval her family experienced while she was a teenager. The quiet, literary, 50-year-old billionaire, who overnight became one of the most influential philanthropists in the world, and who set a new bar for giving, has learned from experience what money can accomplish — and what it can’t.

The purpose of this article was to put in one place most of the data wrangling and visualization techniques you’d need as a beginner or intermediate time series analyst. First, we saw how to convert an ordinary dataframe into a powerful datetime object and put that into use for filtering and visualizing. In the second part, we’ve created 8 different plots using different techniques to visualize time series. The next step would be to go ahead and pick a different dataset, reproduce the results and play with different plotting parameters.

At the same time, Scott has drawn some criticism for the opaque nature of her giving and for the source of her great wealth: Amazon, which has grown during the pandemic to a nearly $1.6 trillion market cap in early October, and has become notorious for paying relatively little in corporate taxes.

Moving average is similar to resampling but has more flexibility, you can specify any number of past observations as a rolling window. Below is an example using a moving window of 6 past observations.

At age six, Scott got permission from her teacher to take home a stack of cheap pulp paper from school, and wrote 142 pages titled The Bookworm. A couple years later, she read Watership Down and noticed it was filled with the names of plants. “I hopped on my Schwinn and rode to the library to hunt down a botanical encyclopedia, and for the next year, all my stories were stuffed with extraneous mentions of trees and flowers,” Scott wrote in an addendum to her first novel.

In any exploratory data analysis, boxplots are the most useful statistical graphics to understand both the central tendency and the distribution of data. It is somewhat similarly useful in time series data. Below is an example of monthly boxplots of values.

With that, Scott far outpaced her ex-husband in the giving realm, and rewrote the typical playbook for high-profile tech philanthropists — who often operate as if they know best not just in business, but in solving societal problems, too. “Their engineering or technocratic orientation to their business, their wealth creation, transfers over to their philanthropic practices,” says Rob Reich, a Stanford political science professor, referring to tech superstars like Mark Zuckerberg or Bill Gates. “To put it really crudely, technocratic philanthropy is philanthropy that is done to people rather than with people.”

Scott gave 116 grants, all at once, with very few strings attached, to mostly small organizations. They didn’t have to hit metrics she named; they didn’t have to create programs she favored. She even refused thank you notes when nonprofits asked how they could show their gratitude. And she specifically chose organizations led by people with “lived experience,” as Scott put it: women leading women’s groups, people of color leading racial equity groups.

I am not going to write complex codes to create beautiful figures, instead, use the default seaborn parameters in one-liner codes. As an individual, you can customize these figures however you wish based on your taste and sense of beauty!