All articles with 'videos' Tag
Let’s say you are the people manager at ACME Inc. You are looking staff list for the months – January and February 2017. You see that we had 4,000 employees in Jan and 4,200 employees in Feb. So what is the churn?
- Is it just 200?
- Or is it the sum of people who left and who joined?
- What if you want to find out how many people moved to new designations / departments or groups?
You see, churn is tricky to figure out.
So why not invite the pros? ie Power Query.Continue »
It’s Halloween time. As adults, we can’t go trick or treating. We can of course dress up in costumes and entertain others. But what about the poor spreadsheets. Don’t they deserve some of this fun too?
Hell yeah! So I made a spider web generator in Excel. Just use it to make a spooky cob web pattern and add it to your report / dashboard / time sheet or whatever else. Surprise your colleagues.Continue »
Wellington(NZ) sure is beautiful on a clear day. There are so many cool bike tracks, walking trails and beaches to keep you busy. Today, I went cycling on my usual route towards Makara beach. At the turn off point, I thought, “This is selfish. I can’t keep all this beauty to myself. I must share it with you.” So here we go.
A quick video about data analysis while on bike
Technically, I was not on bike when recording this video. Watch it below or on our YouTube Channel.Continue »
Over at Flowing Data, Nathan has published an interesting visualization about spread of obesity.
While the above chart is quite interesting, it doesn’t offer much insight in to the data. There are a few drawbacks,
- Understanding obesity trends for a given state over the years is hard due to the layout and format of the chart.
- Finding which states are experiencing most obesity growth rates is not possible
- Ironically, the chart itself is obese. It takes too much space to explain the data.
Nevertheless, the chart looks cool and can be reused with smaller data-sets (quarterly trends or just for a few years). So let’s recreate the same in Excel. While we are at it, let’s also build an alternative visualization to explore the obesity data.Continue »
Last week, I asked you to share an analysis problem that you couldn’t solve in Excel. We got quite a few very interesting problems in comments and email. In this post, let me explain how to solve Sara’s copy shop problem using Excel.
What is Sara’s copy shop problem?
Thanks to Caroline who posted this problem.
Sara wants to open a copy shop. Each copier costs $5,000 per year to lease. The rent & other fixed costs per month are $300. There is a $0.02 variable cost per copy. Each copier can print up to 100,000 copies per year. She plans to charge $0.11 per copy from her customers. Sara estimates that the demand can be any of the 4 values – 500, 1000, 1500 or 2000 copies per day.
- Build a model to estimate profit per given number of copiers & demand values
- Find the mix of copiers & demand values that can make maximum profit for Sara (copiers – 1 to 6, demand – 500 to 2000)
One of the coolest features of Excel 2016 is forecasting. Today, let’s understand how it works with a sample data set.
Watch below video to understand forecasting in Excel 2016.Continue »
We know how to use SUMIFS function to answer questions like, “What is the sum of values for ‘A’?” But how would you answer questions like,
- What is the sum of values that are neither “A” nor “B”?
We can still use SUMIFS, but it will get awfully long. So let’s turn our attention to other functions in Excel.Continue »
A few days back, WSJ ran a visualization titled “What’s your pay gap?” It depicts median pay gap between female & male workers in 422 different professions in USA. The chart uses fish eye effect to highlight the selected profession. See below demo to understand the effect.Continue »
Recently I saw an interesting Earth Venus cosmic dance video on Facebook. See the original video below or here.
Although this is not entirely accurate from physics & astronomy perspectives, the dance is a stunning example of patterns that are generated by simple things.
I wanted to recreate this cosmic dance in Excel. How else am I to get my spreadsheet fix on a Saturday?
Here is a quick demo of the final outcome. Read on to learn more about the Earth Venus cosmic dance.Continue »
As announced earlier, here is the first one of our Master Classes. In this one, you will learn how to create advanced interactive charts in Excel by blending pivot tables, slicers, timelines, VBA, conditional formatting and charts. The final outcome is BEAUTIFUL!!! Monthly Master Class – Episode 1 – Trailer Check out a quick trailer of the […]Continue »
Here is a simple but effective rule for your next dashboard. Tell all versions of truth. All versions? But there is only one version no? Of course, there is only one version of truth (or data), but you can present that in different ways, thus creating different perspectives, offering different insights. By using an interactive element (slicers […]Continue »
Mary Ellen, one of our readers, has an interesting conundrum,
I have some data that goes to Pivot table then to pivot chart. There is a slicer to filter the data. But when I slice, my pivot chart gets messed up. How to have the slicer, but still see the insights in the chart?!?
See above demo to understand:
This is because when you slice by a school, the pivot table gets filtered and hence % row total for that school becomes 100% (as there are no other schools).
How to fix the problem? The easy answer is to remove the slicers. But we want to have our slicers and eat a slice of them too. So we crank up the Excel awesomeness valve and get to work. There are two ways to achieve what we want.
- Old school method: Two pivot tables, some formulas & a line chart
- New Excel method: Power Pivot and a line chart
Read the rest of this article to know more.Continue »
During last week, an alert reader of our blog, Jørgen emailed me a link to “How Trump happened“. It is an interactive visualization by Wall Street Journal. Jørgen asked me if we could replicate the visualization in Excel. My response: “Making a new chart in Excel? Hell yeah!”
Read on for awesome visualizations and full explanation.Continue »
This is the final part of our series on how to analyze half a million customer complaints. Click below links to read part 1 & 2.
Customer satisfaction scorecard
In the previous parts of this case study, we understood what kind of complaints were made and where they came from (states). For the customer satisfaction scorecard, let’s focus on individual companies.Continue »
This is part two of our three part series on how to analyze half a million customer complaints. Read part 1 here.
Analyzing Regional Trends
As introduced in part 1, our complaints dataset has geographical information too. We know the state & zip code for each complaint. Please note that zip codes are partial or missing for a 10% of the data.
In this article, let’s explore three ways to analyze regional trends.
- Regional trends by state, product & issue
- Complaints per million by state
- Complaints by zip code