Bar Graphs Quotes

All in all, when I look at my dating life from the bigger perspective, it pretty much sucks. If it were a bar graph, and each guy were a different colored bar, and the side of the graph measured things like stupidity, lack of consideration, and overpowering lust, the colored bars of all the guys I’ve dated would crash through the top of the graph and rocket skyward like a testosterone-fueled rainbow.

A newly diagnosed person with access to the Internet is information’s incubant. Data visits like a minor god. Awake, we pass the day staring into the screen’s abyss, feeling the constriction of the quantitative, trying to learn to breathe through the bar graphs, head full of sample sizes and survival curves, eyes dimming, body reverent to math.

In one experiment, CA would show people on online panels pictures of simple bar graphs about uncontroversial things (e.g., the usage rates of mobile phones or sales of a car type) and the majority would be able to read the graph correctly. However, unbeknownst to the respondents, the data behind these graphs had actually been derived from politically controversial topics, such as income inequality, climate change, or deaths from gun violence. When the labels of the same graphs were later switched to their actual controversial topic, respondents who were made angry by identity threats were more likely to misread the relabeled graphs that they had previously understood. What CA observed was that when respondents were angry, their need for complete and rational explanations was also significantly reduced. In particular, anger put people in a frame of mind in which they were more indiscriminately punitive, particularly to out-groups. They would also underestimate the risk of negative outcomes. This led CA to discover that even if a hypothetical trade war with China or Mexico meant the loss of American jobs and profits, people primed with anger would tolerate that domestic economic damage if it meant they could use a trade war to punish immigrant groups and urban liberals.

Saintey asks me to breathe in time with the blue bar—five seconds in as it fills, five seconds out as it drains. Then something striking happens. Within a few seconds, the difference between my lowest and highest heart rate is much larger than before—varying from about 60 to 90 beats per minute. And the line on the graph transforms from ugly random spikes into a smooth, snake-like curve.

In 7.81 square miles of vaunted black community, the 850 square feet of Dum Dum Donuts was the only place in the "community" where one could experience the Latin root of the word, where a citizen could revel in common togetherness. So one rainy Sunday afternoon, not long after the tanks and media attention had left, my father ordered his usual. He sat at the table nearest the ATM and said aloud, to no one in particular, "Do you know that the average household net worth for whites is $113,149 per year, Hispanics $6,325, and black folks $5,677?" "For real?" "What's your source material, nigger?" "The Pew Research Center." Motherfuckers from Harvard to Harlem respect the Pew Research Center, and hearing this, the concerned patrons turned around in their squeaky plastic seats as best they could, given that donut shop swivel chairs swivel only six degrees in either direction. Pops politely asked the manager to dim the lights. I switched on the overhead projector, slid a transparency over the glass, and together we craned our necks toward the ceiling, where a bar graph titled "Income Disparity as Determined by Race" hovered overhead like some dark, damning, statistical cumulonimbus cloud threatening to rain on our collective parades. "I was wondering what that li'l nigger was doing in a donut shop with a damn overhead projector.

Scanning through the bar graphs and readouts of the first DNA sequence e-mailed to me from the lab, I can see the messy, haphazard collection of instructions that make up a human life. While some would argue that the fact that this almost random pattern is proof of a miracle, I’d point out that by that logic, every living thing that manages to be born is a miracle—and if we’re all miracles, then nobody is, because the word has lost its meaning. Life works or it doesn’t.

Well, Gordon assigned me to write a major piece of software for the Apple Macintosh. Financial spreadsheet, accounting, that sort of thing, powerful, easy to use, lots of graphics. I asked him exactly what he wanted in it, and he just said, ‘Everything. I want the top piece of all-singing, all-dancing business software for that machine.’ And being of a slightly whimsical turn of mind I took him literally. “You see, a pattern of numbers can represent anything you like, can be used to map any surface, or modulate any dynamic process—and so on. And any set of company accounts are, in the end, just a pattern of numbers. So I sat down and wrote a program that’ll take those numbers and do what you like with them. If you just want a bar graph it’ll do them as a bar graph, if you want them as a pie chart or scatter graph it’ll do them as a pie chart or scatter graph. If you want dancing girls jumping out of the pie chart in order to distract attention from the figures the pie chart actually represents, then the program will do that as well. Or you can turn your figures into, for instance, a flock of seagulls, and the formation they fly in and the way in which the wings of each gull beat will be determined by the performance of each division of your company. Great for producing animated corporate logos that actually mean something. “But the silliest feature of all was that if you wanted your company accounts represented as a piece of music, it could do that as well. Well, I thought it was silly. The corporate world went bananas over it.

I stood in the horizontal and vertical cultures of words like a bar in a graph.

The fact that the arrow can't disappear is both a comfort and a worry. It makes Nechtr feel special, true. But from special it's not very far to Alone. Although we all, Mark would know if he bothered to ask J.D. Steelritter, who'd done solipsistic-delusion-fear research back in the halcyon days of singles bars, we all have our little solipsistic delusions. All of us. The truth's all there, too, tracked and graphed in black and white—forgotten, now that fear of disease has superseded fear of retiring alone—sitting in dusty aluminum clipboards in a back archive at J.D. Steelritter Advertising, in Collision, where they're headed. We all have our little solipsistic delusions, ghastly intuitions of utter singularity: that we are the only one in the house who ever fills the ice-cube tray, who unloads the clean dishwasher, who occasionally pees in the shower, whose eyelid twitches on first dates; that only we take casualness terribly seriously; that only we fashion supplication into courtesy; that only we hear the whiny pathos in a dog's yawn, the timeless sigh in the opening of the hermetically-sealed jar, the splattered laugh in the frying egg, the minor-D lament in the vacuum's scream; that only we feel the panic at sunset the rookie kindergartner feels at his mother's retreat. That only we love the only-we. That only we need the only-we. Solipsism binds us together, J.D. knows. That we feel lonely in a crowd; stop not to dwell on what's brought the crowd into being. That we are, always, faces in a crowd.

Good stories surprise us. They make us think and feel. They stick in our minds and help us remember ideas and concepts in a way that a PowerPoint crammed with bar graphs never can.

here is a column graph, or a bar graph. This one shows percentages but over a period of time.

His startling career graph took off thanks not only to his uncanny ability to sniff out criminals but also to his connections with the political party that had ruled the state of Maharashtra for many years.

The biggest shift was from a bar graph to a line graph. As we’ve discussed, line graphs typically make it easier to see trends over time. This shift also has the effect of visually reducing discrete elements, because the data that was previously five bars has been reduced to a single line with the end points highlighted. When we consider the full data being plotted, we’ve gone from 25 bars to 4 lines. The organization of the data as a line graph allows the use of a single x-axis that can be leveraged across all of the categories. This simplifies the processing of the information (rather than seeing the years in a legend at the left and then having to translate across the various groups of bars).

Model visual #5: horizontal stacked bars Figure 6.5 shows the results of survey questions on relative priorities in a developing nation. This is a great deal of information, but due to strategic emphasizing and de-emphasizing of components, it does not become visually overwhelming. Figure 6.5 Horizontal stacked bars Stacked bars make sense here given the nature of what is being graphed: top priority (in first position in the darkest shade), 2nd priority (in second position and a slightly lighter shade of the same color), and 3rd priority (in third position and an even lighter shade of the same color). Orienting the chart horizontally means the category names along the left are easy to read in horizontal text.

Horizontal bar chart If I had to pick a single go-to graph for categorical data, it would be the horizontal bar chart, which flips the vertical version on its side. Why? Because it is extremely easy to read. The horizontal bar chart is especially useful if your category names are long, as the text is written from left to right, as most audiences read, making your graph legible for your audience.

What else should you watch for? Most fund buyers look at past performance first, then at the manager’s reputation, then at the riskiness of the fund, and finally (if ever) at the fund’s expenses.8 The intelligent investor looks at those same things—but in the opposite order. Since a fund’s expenses are far more predictable than its future risk or return, you should make them your first filter. There’s no good reason ever to pay more than these levels of annual operating expenses, by fund category: Taxable and municipal bonds: 0.75% U.S. equities (large and mid-sized stocks): 1.0% High-yield (junk) bonds: 1.0% U.S. equities (small stocks): 1.25% Foreign stocks: 1.50%9 Next, evaluate risk. In its prospectus (or buyer’s guide), every fund must show a bar graph displaying its worst loss over a calendar quarter. If you can’t stand losing at least that much money in three months, go elsewhere. It’s also worth checking a fund’s Morningstar rating. A leading investment research firm, Morningstar awards “star ratings” to funds, based on how much risk they took to earn their returns (one star is the worst, five is the best). But, just like past performance itself, these ratings look back in time; they tell you which funds were the best, not which are going to be. Five-star funds, in fact, have a disconcerting habit of going on to underperform one-star funds. So first find a low-cost fund whose managers are major shareholders, dare to be different, don’t hype their returns, and have shown a willingness to shut down before they get too big for their britches. Then, and only then, consult their Morningstar rating.10 Finally, look at past performance, remembering that it is only a pale predictor of future returns. As we’ve already seen, yesterday’s winners often become tomorrow’s losers. But researchers have shown that one thing is almost certain: Yesterday’s losers almost never become tomorrow’s winners. So avoid funds with consistently poor past returns—especially if they have above-average annual expenses.

I’d like them to appreciate the power of the individual—and I don’t mean me; I mean the power each person has to make choices and be accountable for himself or herself. I’ve noticed that people are quick to put you in a category—if you come from this place then you are that thing. But I’ve never placed much value in statistics and trends, bar graphs and socioeconomic data that sum people up. I stop listening when somebody asks me if I know what my chances are. I don’t know that I believe in probability. People are inexplicable and incomprehensible, and nobody really knows what’s possible until they try. I prefer the exceptions to the rules. I like people who try, even when their chances are zero.

The scroll slowed on a post from Madison. Predictably, she was sharing more pregnancy content. Today's post was a column graph about maternal mortality rates, accompanied by the caption: This makes me so sad. Growing a human is hard enough. We shouldn't have to fear for our lives on top of that. Mae frowned. The graph was cut off. It showed rates for All, White, and Hispanic, but there was a sliver of what looked like another bar on the far right. Under it, the only part of the word that didn't get cut off was Bl. Ordinarily, Mae wouldn't have wasted any time on this. It was just Madison being Madison, thinking of herself and no one else. But after learning about her grandma Doris's racist past yesterday, it was hard to look past anything about the Parkers anymore. A reverse-image search turned up the original article, titled Black women three times more likely to die in childbirth than white women. The full graph showed that the column for Black women towered over the other columns Madison had posted. Anger and annoyance rising within her, Mae returned to Madison's post and started typing. You'll be fine. If you'd read the article and shared the full graph, you'd know the point of the piece is that Black women are way more at risk. Or do you not care about that?