838 Matching Annotations
  1. Nov 2018
    1. Same problem with the Y axis numbers in your second line chart. There's a crucial difference between 0.2 percent and 2 percent.

    2. The numbers in your Y axis are confusing. For example, is the first increase 0.14% or 14%? Readers will presume it's the former number, and if so, that's not really as dramatic as the line chart makes it seem, e.g., there was only a 0.14 percent increase, not a 14 percent increase, at the first income bracket. You need to clear this up.

    3. PBEs.

      Very interesting. But it's a little unclear. Percentage increase over what? What was the baseline number? How many of the overall exemptions were PBE?

    4. ere examined.

      Watch the passive voice. Use active voice whenever possible.

    5. The study

      Researchers, not 'the study'

    6. ought to figure out who are

      This phrasing is awkward.

    7. All of the WaPo design elements (e.g., the social media nav bar, the subscription button, etc.) should be code, not images. The purpose of the design phase of the assignment was to figure out how to emulate the publication with code.

    1. Younger Veterans at Higher Risk of Suicidal Tendencies By . SARAH KREITZER

      Your app doesn't quite match the design of the LA Times, as it currently looks online. The header and byline are different, and articles have tags listed in black boxes. Overall, it looks good, but it's missing some details that are key to the Times brand.

    2. Again, tooltips would enhance your line charts.

    3. One theory

      I'm glad you researched the leading theories on this. Good reporting.

    4. This line chart seems to contradict your lede: it shows that suicide rates have actually decreased for the diagnosed mentally ill, and simply plateaued for others. Your lede says that rates have 'spiked.'

    5. diagnosedWithMentalHealthCondition

      This legend needs the color-coded lines to match the chart.

    6. e4244 Reset

      You need to explain the numbers here: suicides per 100,000 people.

    7. You should add tooltips on this first bar chart.

    8. Lead with your best chart, not a table.

    9. Too much gap between the article and the table.

    10. In addition, trends show higher suicide rates in those aged 30 - 49

      Again, your writing could be a lot clearer.

    11. And while it’s been a commonly stated statistic that veterans are more likely to commit suicide, recent studies have shown a sharp increase in the probability of veteran death by suicide. In one year, the rate of suicide in veterans under the age of 35 rose drastically.

      This phrasing is awkward and it confuses your message.

    12. CDC. (7)

      Instead of using citations like this, just make the words link to the source websites. That's the standard now for almost all publications, including the LA Times.

    13. If you're going to make a working hamburger menu, it needs to be able to close.

    1. by 2009, the rate for men was 61% higher than the rate for women.

      Careful, you're cherry-picking data here to make the results seem more dramatic. This appears to be just a fluctuation between 2007 and 2009, not an overall trend worth reporting.

    2. TBI-related deaths decreased.

      The line chart doesn't really show a significant decrease in TBI-related deaths unless you isolate that line to change the range of the Y axis. It's fine to simply mention the decrease; you were smart not to describe it as a large drop, etc. But you should really figure out if a decrease of 1.4 per 100,000 is even statistically significant. If not, you need to mention that in the article.

    3. WEDNESDAY NOV. 7, 2018

      You can make this an actual date, not just text (e.g, it shows the current date). You've learned how with JS new Date( ) methods.

    4. TBI-related death rates decreased from 2001 to 2010 from 5.2 to 4.3 deaths per 100,000 children aged four and younger, from 3.2 to 1.9 deaths per 100,000 adolescents aged five to 14, from 23.4 to 15.6 deaths per 100,000 individuals aged 15 to 24, and from 17.6 to 14.6 deaths per 100,000 adults aged 25 to 44.

      Again, you don't need to write this out.

    5. increased in individuals 65 years and older.

      This is interesting, and readers will want to know the leading theories. Deaths went down for all other age groups but went up among the elderly. Why? Ask a geriatric specialist for thoughts on this. I know you didn't have time for that sort of thing, but you should try to follow up and make this even stronger for your portfolio.

    6. ADVERTISEMENT

      If you're going to include ads in your app, they need to be actual images. This looks broken.

    7. TBI-related emergency department visits increased from a rate in 2001 of 420.6 per 100,000 people to 715.7 per 100,000 people in 2010. TBI-related hospitalizations increased from 2001 to 2010 from 82.7 per 100,000 people to 92.7 per 100,000 people. TBI-related deaths decreased from 2001 to 2010 from a rate of 18.5 deaths per 100,000 people to 17.1 deaths per 100,000 people.

      You don't need to write all of this out. That's what the chart is for -- it shows us all of this. And the title of the chart is awkward and confusing because of the commas ('ER Department, Hospitalizations, and Deaths...'). I think your missing the word 'visits.'

    8. The chart context menu is a nice feature. Good work. But you need a link to the actual CDC source data, too.

    9. The colors in the first line chart need to have more contrast.

    1. Web-based Injury Statistics Query and Reporting System

      This needs to be a link.

    2. Web-based Injury Statistics Query and Reporting System (WISQARS

      This needs to be a link.

    3. American Indians a

      You leave us hanging here. You offer theories as to why rates are higher for men, but don't discuss the situation for American Indians.

    4. no diagnosed mental health condition

      You're right this is misleading. Most of the people had mental health conditions, but they just weren't diagnosed before their deaths. Nice catch.

    5. CHS National Vital Statistics System

      This needs to be a link.

    6. The line chart is a little confusing because you have the all-encompassing age group (10-24) as an individual line among the others.

    7. The tooltips in the map are confusing because you show the total number of deaths in each state, rather than the rate per 1000. So there's a discrepancy between the shading and the numbers; you expect to see higher numbers in the tooltips for the darker states, but that's not the case.

    8. Alaska had the highest rate of suicide at 25.9 per 100,000 and New Jersey had the lowest at 4.9 per 100,000.

      Readers will want to know why certain states have higher rates. I'd research this and add the leading theories on it before you send this to employers.

    9. The rate goes up significantly from 2009 to 2010, probably because of the economic crash. You should point that out.