All articles with 'slicers' Tag
Excel pivot tables are very useful and powerful feature of MS Excel. They are used to summarize, analyze, explore and present your data. In plain English, it means, you can take the sales data with columns like salesman, region and product-wise revenues and use pivot tables to quickly find out how products are performing in each region.
In this tutorial, we will learn what is a pivot table and how to make a pivot table using excel.Continue »
It’s tornado season. Don’t freak out, I am talking about Excel tornado charts. Use them to visualize age and gender-wise KPIs. Here is a quick demo of interactive tornado chart made in Excel. Watch it and read on to learn how to make your own tornado in a spreadsheet.Continue »
Let’s say you are starting at a large dataset with multiple columns. You need to make a pivot report from it for a client or manager. How would you go about it?Continue »
I recently finished a long consulting gig with one of the government ministries in New Zealand. Guess what I was doing? HR Analytics and Reporting. In this post, I want to share my top 5 Excel tips for HR people, based on what I learned in the last 18 months.
Specifically, we will cover:
- Gathering and structuring Employee data in Excel
- How to use Power Query to collect data
- Polish / clean data in Power Query
- Bring cleaner data to Excel as refreshable table
- Answering questions about employees
- Using Excel formulas such as COUNTIFS, SUMIFS, AVERAGEIFS
- Pivot tables for data analysis
- Understanding the results quickly with conditional formatting
- Understanding pay gap
- Calculating gender pay gap
- Visualize pay gap
- Creating salary distribution charts
- Working with histogram charts in Excel 2016 / Office 365
- Making interactive charts
- Generating letters thru mail merge
- Calculating employee bonus based on bonus mapping logic
- Creating 100s of letters with a single click using Mail Merge + Word
Sounds interesting? Read on for details.Continue »
On twitter I follow many charting and visualization related accounts. One of them is @Andy Kriebel, who runs Makeover Monday. The idea is simple. Every Monday they publish a data-set and ask the community to visualize. Last Monday (7th May, 2018), they have published about toughest sport by skill data. This categorizes 60 sports by 10 skill categories to find out which sport is the toughest. Over the weekend, Andy posted a summary of all toughest sport viz entries. Many of the entries are made in Tableau. I thought it would be a fun challenge to re-create some of these charts in Excel. The result is this post. 60 sports in 6 charts. Check out the charts and download workbook to learn more.
First four charts are re-creations of Tableau designs. Last two are mine.Continue »
Ever wanted to make a cool, snazzy interactive chart in Excel? Something like this:
In this tutorial, learn all about making your very first interactive chart. We use both formulas and pivot tables to build two versions of an awesome interactive chart in Excel.Continue »
The 2018 edition of Commonwealth games are on for a week now. Both of my homes – India and New Zealand have been doing so well. Naturally, I wanted to gather games data and make something fun and creative from it. Here is my attempt to amuse you on this Friday.
Looks interesting? Want to know how to make something like this on your own? Then read on…Continue »
Time for some statistics and charting fun. Let’s learn all about histograms and Pareto charts in Excel 2016. You will learn
- What, why and when?
- How to set up and customize histograms
- How to use Pareto charts?
- How to create dynamic histograms?
- Creating histograms in old Excel (2013 or prior versions)
Sounds interesting? Let’s get started then.Continue »
In this amazing guest post, the winner of our 2016 dashboard contest – Chandeep – Explains how he constructed the jaw dropping beauty (shown above) using Excel, creativity, love and sweat. Grab a full cup of coffee (or whatever liquid fancies you) and read on. Take lots of notes and play with the ideas in Excel while reading to maximize your learning.
Thanks Chandeep.Continue »
It is election time in USA, and that means there is a whole lot of drama, discussions and of course data analysis. There are tons of cool visualizations published on all the data. Previously, we talked about “How Trump happened” chart.
Today let’s take a look at the beautiful decision tree chart by NY Times explaining what would happen if each of the 10 swing states vote for Democrats or Republicans. Go ahead and look at that chart. And when you are done playing with it, come back.
My first thought after looking at the chart is: Wow, that is cool. I wonder how we can recreate that experience in Excel?
But as you can guess, making a dynamic tree visualization in Excel is pretty hard. You can create a bubble chart mixed with XY chart to show all the nodes of the decision tree, but as this tree has 2^10 nodes at the bottom level (and 2^11-1 total nodes) our chart would look very clumsy and busy.
So, instead of replicating NY Times chart, why not make our own version that explains the data? You can reuse this idea when visualizing outcomes of several what-if scenarios.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 »
Have you ever wondered about applying different Spreadsheet Formats or Styles to reports which you may be send to different people and so the styling may be different for each recipient?
I haven’t, but in this post I will show how you can add it to your worksheets.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 »
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 »
How would you analyze data when you have lots of it? That is the inspiration for this series.
Let’s meet our data – Finance Industry Consumer Complaints
As part of open data initiatives, US government & Consumer Financial Protection Bureau maintain a list of all consumer complaints made against financial institutions (banks, credit unions etc.) You can download this data from the catalog page here. I have obtained the data on 1st of February, 2016. The download has 513,824 records. Each row contains one complaint.
In this and next two parts of the series, we are going to analyze these half a million complaints to find insights.Continue »