There are seven pandas hidden in this workbook [Easter Eggs]
It is Easter time again. This year, we drove to my brother’s house in Hyderabad (700 km away from my home) to spend a weekend doing absolutely nothing (we will eat copious amount of food, share family memories, laugh and laze). It is Chandoo.org tradition to share few puzzles during Easter time, a la an Excel themed virtual Easter egg hunt. This year, I have prepared an amazing challenge for you.
Analyzing half a million complaints – Customer Satisfaction Scorecard [Part 3 of 3]
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.
- Complaint reason analysis – Part 1
- Regional trends & analysis – Part 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.
Analyzing half a million customer complaints – Regional Trends [Part 2 of 3]
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
Analyzing half a million consumer complaints [Part 1 of 3]
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.
Don’t make your charts heavier than they should be – The weight of the world chart [case study]
Here is an interesting chart from Economist, ironically titled The weight of the world. Can you tell what is wrong with it?
Generate a snow flake pattern Excel [holiday fun]
Yesterday I saw a tweet from @JanWillemTulp with random snow flake generator.
That got me thinking…? Why can’t we make a snow flake pattern in Excel?
This is what I came up with.
Read on to know more about this snow flake and download the example workbook.
Color changing line chart [tutorial]
Let’s learn how to create a color changing line chart using Excel. This is what we will create.
Looks interesting? Read on.