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Showing posts with label rainfall. Show all posts

May 19, 2016

Rain Patterns at Mount Diablo: What 60 years of rain data tells us about the Northern California drought

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I’ve been getting deep into Alberto Cairo’s latest book “The Truthful Art” and was particularly fascinated by the Rain Patterns in Hong Kong visualisation created by The South China Morning Post.

Immediately I began to think back to our time living in Northern California and the historic drought conditions. I decided to use Mount Diablo as a representative weather station because it was one of the most complete and oldest in the Bay Area.

I decided to use this visualisation as inspiration for a version of my own. Some interesting patterns reveal themselves:

  • It hardly ever rains between the end of May and early October.
  • The most single-day rain total in the last 60 years was 5 inches on 21-Jan-1967.
  • Out of the 21,404 days in the data set, only 3,892 had any measureable rain (18.2%).
  • We lived in Pleasanton for 1,070 days. During that time, there were only 145 days of measurable rain (13.6%) and only 57.3 inches of rain during that time (less than 1/2 inch per day that it rained).
  • Over 60 years, there’s an average of 66 days of rain per year.
  • During our time living there, we saw an average of 50 days of rain per year.


My version was made with Tableau 10, so I can’t publish it to Tableau Public yet. You can download the workbook here and the data set I used here. The data was sourced from NOAA.

Finally, a special thanks to Data Schooler Nisa Mara for her feedback during the process.

June 22, 2015

Makeover Monday: Historical Rainfall in 3 of Australia's Largest Cities

A few weeks ago, the Guardian Datablog published this series of circular heatmaps to represent monthly rainfall across a 20 year period in three Australian cities.


There are several problems with using radial heatmaps:
  • They are not too dissimilar from geographical heatmaps in that they tend to skew towards the segments that cover the most surface area, in this case 2015.
  • It’s difficult to compare across years, across months, and across months and years.
  • Your eyes are drawn all over the place.
  • There’s very little sense for trends.
  • Like a pie chart, you’re trying to compare the angles of the slices, which is nearly impossible.
There are some other issues with this particular implementation:
  • The hover does not work once you get to the smaller segments.
  • The labels are quite hard to read.
  • When I hover, all I get is the value. This means that I have to look back to the labels to see which month and year it refers to.
Given these problems, I created this alternative version.
In this version, I have:
  1. Taken the radial heatmap and flattened it out. I liked their idea of using a heatmap, but needed it to be easier to read.
  2. Added two trend charts: (1) cumulative rainfall, (2) monthly rainfall
  3. Added a selector for the city
  4. Added a highlight action on the year
  5. Included informative tooltips
  6. Improved the title

You can download the viz from Tableau Public here. What would you do differently? What could be improved in my version?