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Nigel Marriott's Blog

An independent statistician using data to understand our world and to predict the future

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UK Weather Trends #16 – Winter 2021

March 6, 2021 By Nigel Marriott

Winter 2021 was wetter than usual in the UK but otherwise unremarkable.

[Read more…] about UK Weather Trends #16 – Winter 2021

Filed Under: Archive Tagged With: multivariate data, Presenting data, principal components analysis, standardisation, trend analysis, Weather, weather trends, z-scores

UK Weather Trends #15 – Autumn 2020

December 4, 2020 By Nigel Marriott

The UK experienced unremarkable weather in all respects in Autumn 2020.

[Read more…] about UK Weather Trends #15 – Autumn 2020

Filed Under: Archive Tagged With: multivariate data, Presenting data, principal components analysis, standardisation, trend analysis, Weather, weather trends, z-scores

UK Weather Trends #14 – Summer 2020

September 8, 2020 By Nigel Marriott

Last year, I predicted that the 2020 summer would not be good and I was right.  On average it was duller, wetter and warmer than normal.

[Read more…] about UK Weather Trends #14 – Summer 2020

Filed Under: Archive Tagged With: multivariate data, Presenting data, principal components analysis, standardisation, trend analysis, Weather, weather trends, z-scores

UK Weather Trends #13 – Spring 2020

June 3, 2020 By Nigel Marriott

The UK experienced its sunniest spring on record in 2020 by a huge margin.  Both April and May were the sunniest on record and together they resulted in an average of 6.5 hours of sunshine per day compared to the normal 4.5 hours per day.

[Read more…] about UK Weather Trends #13 – Spring 2020

Filed Under: Archive Tagged With: multivariate data, Presenting data, principal components analysis, standardisation, trend analysis, Weather, weather trends, z-scores

UK Weather Trends #12 – Winter 2020

March 8, 2020 By Nigel Marriott

The UK experienced its 5th wettest and warmest winter on record in 2020.

[Read more…] about UK Weather Trends #12 – Winter 2020

Filed Under: Archive Tagged With: multivariate data, Presenting data, principal components analysis, standardisation, trend analysis, Weather, weather trends, z-scores

UK Weather Trends #11 – Autumn 2019

December 8, 2019 By Nigel Marriott

The UK experienced unremarkable weather in all respects in Autumn 2019.

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Filed Under: Archive Tagged With: multivariate data, Presenting data, principal components analysis, standardisation, trend analysis, Weather, weather trends, z-scores

UK Weather Trends #10 – Summer 2019

September 12, 2019 By Nigel Marriott

The 2019 summer was the 7th wettest on record but was also unusually warm given the amount of rain that fell.  I have made a prediction that summer 2020 will not be a good one!

[Read more…] about UK Weather Trends #10 – Summer 2019

Filed Under: Archive Tagged With: multivariate data, Presenting data, principal components analysis, standardisation, trend analysis, Weather, weather trends, z-scores

UK Weather Trends #9 – Spring 2019

June 6, 2019 By Nigel Marriott

The 2019 spring was consistent with the step change in the autumnal climate that took place in the 1990s but was unremarkable otherwise

[Read more…] about UK Weather Trends #9 – Spring 2019

Filed Under: Archive Tagged With: multivariate data, Presenting data, principal components analysis, standardisation, trend analysis, Weather, weather trends, z-scores

UK Weather Trends #8 – Winter 2019

March 8, 2019 By Nigel Marriott

The winter of 2019 was consistent with the step change in the winter climate that took place in the 1990s.

[Read more…] about UK Weather Trends #8 – Winter 2019

Filed Under: Archive Tagged With: multivariate data, Presenting data, principal components analysis, standardisation, trend analysis, Weather, weather trends, z-scores

Stats Training Materials – Multivariate Analysis

December 31, 2018 By Nigel Marriott

If I were to remark to you that “the weather is very nice today” or “I didn’t like that person”, it is unlikely that I would have made such statements based on a single variable.  It is more likely that a combination of variables were evaluated to arrive at these statements.  When we analysis datasets with multiple variables, we are undertaking Multivariate Statistical Analysis.

Multivariate Analysis comes in two flavours :-

  1. Analysis of Correlations between Multiple Variables – Known as R-Analysis – Informally known as reducing the dimensionality of your dataset.
  2. Analysis of Distance between Many Objects – Known as Q-Analysis – Informally known as mapping, clustering or segmentation of your dataset.

[Read more…] about Stats Training Materials – Multivariate Analysis

Filed Under: Stats Training Tagged With: multivariate data, principal components analysis, Segmentation, standardisation, Statistical Training, Teaching Materials, z-scores

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UK Weather Tracker #110 – March 2026

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