Neal Kaplan I'm a director of technical communications working for a data analysis startup in Redwood City. I started as a technical writer, and since then I've also been learning about information architecture, training, content strategy, and even something about customer support. I'm also passionate about cross-team collaboration and user communities.

How do you show research findings?

4 min read

  • Know who your audience is.
  • Your presentation should be tailored to that audience.
  • The context can be highlighted.
  • There are policy or practice recommendations.
  • Recommendations that help your audience are included.
  • Time and practice what you do.
  • Don’t powerpointlessness.

In a Q&A, it’s great to start with the name of the person who asked the question. At the end of the day, people in these organizations are using research-based evidence as a means of making decisions, so help them make those decisions by drawing out policy or practice recommendations.

The latter needs to explain how funds will be spent and what they will be used for. If you have a 10m slot, pace out the sections so that you don’t spend too much time on context and then overrun. If you put your data tables on the internet, your audience will be able to access them. People don’t want to be told that different methods produce different results, that the evidence is unreliable, and that all the richness that researchers care about.

15 and a half ways to improve your presentation, is a good post.

What are the ways to represent findings?

It’s a good idea to use graphs, charts, tables and Infographics to make your data more engaging. Discuss what the findings mean in this section. Your interpretation will show the reader why findings are important.

How do you present data findings?

  • Don’t keep it complicated.
  • First general, then specific.
  • The research questions should be answered with data.
  • The data collection process should be left in the methods section.
  • The past tense is used to describe results.
  • Is it text, tables, or graphics?

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How do you present data in a presentation?

  • It’s important that you recognize that presentation matters.
  • Don’t make people fear numbers.
  • The data pixel ratio should be maximized.
  • If you want to see the movies in 3D, save it.
  • Friends don’t allow their friends to use pie charts.
  • The appropriate chart should be chosen.
  • Don’t mix chart types with each other.
  • axes shouldn’t be used to deceive.

My top ten tips for presenting data is outlined in this post. Don’t think that your vendors are in lock-step with data visualization best practices.

It is common for analysts to feel that they are not being heard by stakeholders or that their recommendations never generate action. It’s easy for business users to tune out if you don’t communicate data clearly. A table of data makes it impossible for all the numbers to be retained, but a chart that shows our conversion rate is retained as one chunk of information. Information is passed from short-term memory to long-term memory.

There aren’t many things you can do to make numbers friendlier. You don’t need two decimal places if your values are between 2 and 90 percent. It is important to include decimal places if you have numbers that are really close.

A simpler way of thinking of it is that your ink should be used for data display and not for decoration. I like to say that I don’t want to print a lot of decorations because I don’t want to waste ink. The axis can be more difficult to read if you choose a bar over a column chart.

In the bottom one, you can sort of tell that it’s at $150,000, but you have to work a lot harder to figure that out. It isn’t just there to make it “snazzy”, when it does a better job telling the story.

3D adds a critical element of information, that a 2D version would miss, in this recent chart from the 2016 election. There are some justifications for the backlash against the use of pie charts when presenting data. Pie charts can’t be used as soon as you need to compare data, for example, three series across multiple years. Pie charts are acceptable as long as they are the best way to present data and get your message across.

To convey the message you want someone to take from your presentation, a chart should be carefully chosen. Do you want to show that the United States and India have the same average order value? Extreme Presentation has a chart chooser that can be used for a more comprehensive guide. You can use sparklines for presenting data trends if you don’t have a lot of space.

There is a chart in a single cell of the table. Data sets should tell a story or reveal insights if they are left apart. The problem is, as soon as you put those two series of data together, your end users are going to assume there is a connection between them, and waste valuable brain power trying to figure out what it is.

Good and bad examples of mixing chart types can be found here. We have a column and line chart on the first because we want to show that the two metrics trend in the same direction. Doing so quickly magnifies what might be small differences, and can distort the story your data is telling.

The differences between the highs and lows look more dramatic when the axis is starting at 155,000 Sometimes we need to show differences in metrics that don’t change much over time. You can see the month-to-month change if you have a second view of the chart that shows a small range on the axis. A way to differentiate between good and bad results is by using color.

Ten percent of your stakeholders may not be aware of your color scheme. That doesn’t mean you can’t use any red or green when presenting data If someone prints your document in black and white, you have to check that it’s understandable by those with colorblindness. This is an additional factor to be aware of if you are distributing your data presentation around the world.

For example, Facebook is blue, and YouTube is red. It’s easy for a user to understand which series relates to which axis. The key phrase is “on a single screen.”

If you want someone to look at your dashboard and connect different data points, you have to rely on their short-term memory.

How do you present findings in a research paper?

  • The results should be presented with a short explanation.
  • Before presenting the next section, talk about it, and so on.

Use non-textual elements, such as figures and tables, if appropriate, to present results more effectively. Unless you request it, raw data should not be included in the main text of your paper. In the introduction section, you should give the reader any additional context or explanation needed to understand the results.

Neal Kaplan I'm a director of technical communications working for a data analysis startup in Redwood City. I started as a technical writer, and since then I've also been learning about information architecture, training, content strategy, and even something about customer support. I'm also passionate about cross-team collaboration and user communities.

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