Today I did another post on the diff() function in base #R
Post: https://www.spsanderson.com/steveondata/posts/2025-07-07/
Today I did another post on the diff() function in base #R
Post: https://www.spsanderson.com/steveondata/posts/2025-07-07/
I had the pleasure of presenting this week at the @rladiesrome meetup about forecasting with linear regression. This workshop covered the following topics:Time series decomposition
Correlation and seasonal analysis
Modeling trend and seasonality
Using piecewise regression to model change in trend
Residuals analysis
The workshop recording is available online:
https://www.youtube.com/watch?v=lk3a3GQ7kc8
Missed @ramikrispin @rladiesrome on using linear regression for forecasting time series? No worries! Catch the beginner-friendly session on YouTube
Enhance your skills now read our blog post and watch the recording: https://rladiesrome.org/talks/2025/meetup/07032025_RamiKrispin.html
#Rstats #Forecasting #timeseries
Don’t forget!
Join us today at 6PM CEST for our R-Ladies Rome workshop with @@ramikrispin:
“Forecasting Time Series with Linear Regression: A Feature-Driven Approach”
Supercharge your data work! Our GPU Time Series Analysis tutorial shows you how to use cuDF & Python for incredible speed. Boost performance now. #GPUDataScience #TimeSeries #cuDF #Python #BigData #DataAnalysis #NVIDIA
https://teguhteja.id/gpu-time-series-analysis-cudf-tutorial/
#programming #graphing #plotting #visualization #timeSeries #gnuplot #commonLisp #lisp #example https://screwlisp.small-web.org/programming/common-lisp-invoking-gnuplot/
I could not even find my own previous articles and #demos of this online!
I used #uiop run-program to handle one specific case like
(gnuplot "bad title" '((1 2) (3 4)) '((5 6) (7 8)))
or equivalently,
(apply 'gnuplot "bad title" '(((1 2) (3 4)) ((5 6) (7 8))))
Do you personally have an example? I remember it being hard to dredge up gnuplot examples but this is beyond silly.
Wow - https://PGConf.DE (Die Deutsche PostgreSQL Konferenz 2025) had an excellent turnout of 347 attendees, the largest ever for PostgreSQL Conference Germany! Our team were proud bronze sponsors for the event, and we're very much looking forward to the 2026 edition of the conference. Till then
See the wrap-up for the conference: https://www.postgresql.eu/events/pgconfde2025/news/conference-wrap-up-169/
New to time series forecasting?
Learn ARIMA modeling in this clear, hands-on guide from DataCamp!
Perfect for data science beginners. https://www.datacamp.com/tutorial/arima
#ARIMA #TimeSeries #DataScience #Forecasting
I am looking for a postdoc 'Environmental and behavioral health in a changing climate' (1/2)
2 years in #Rennes #france #rstats #timeseries
We are looking for a postdoctoral researcher to help us understand the short-term impacts of environmental conditions on mental health, sleep and physical activity related behaviors. Future findings will help us better anticipate present and future consequences of climate change on bike use and sleep.
Time Series Analysis with StatsModels
This workshop from the PyData Global 2024 conference by Allen Downey provides an introduction to time series analysis with the StatsModels Python library.
https://www.youtube.com/watch?v=foMbacbuAQk
#timeseries @python #DataScience #forecasting
# contexto: Algoritmo en el contexto de la física
# Análogo a uno serie de tiempo en finanzas
# objetivo: Calcular el cambio de distancia
# a un punto de referencia cada hora
# proceso : Los cambios se producen cada minuto
# - Visualizamos los cambios cada hora
# - Durante el dia de hoy
#Day6 of #30DayChartChallenge, theme: #FlorenceNightingale
Estacionalidad promedio de compraventas de vivienda en España (2007-2024). Coxcomb plot muestra meses con ventas típicamente >100 (altas) o <100 (bajas) vs media anual.
Método: X-13ARIMA-SEATS con #rstats {seasonal}. Datos: INE.
Código: https://t.ly/lC34V
Happy to share some updates to my package download forecasting analysis located here:
https://www.spsanderson.com/healthyverse_tsa/
I am now also using the amazing NNS package.
Happy to share some updates to my package download forecasting analysis located here:
https://www.spsanderson.com/healthyverse_tsa/
I am now also using the amazing NNS package.
Thanks to @bmacs001, #OpenHistoricalMap has comprehensive coverage of #NewJersey municipality boundaries over time. Watch the state get divvied up into counties, townships, boroughs, cities, towns, and villages in this mesmerizing #TimeSeries:
Antti Rask and I worked on a package called #RandomWalker which seems to have download patterns that are anything but. There is a lot of work lined up to do on it, time is elusive but we will get there.
You can follow the issues here: https://github.com/spsanderson/RandomWalker/issues
Merlion: A Machine Learning Framework for Time Series Intelligence — https://github.com/salesforce/Merlion
#HackerNews #Merlion #MachineLearning #TimeSeries #Intelligence #Salesforce
A Look at TimeGPT with nixtlar in R
A first exploration of Nixtla’s TimeGPT, a Transformer-based model for time series forecasting, using the nixtlar R package. Learn how this self-attention architecture works and how to apply it in R.
https://www.r-bloggers.com/2025/02/a-first-look-at-timegpt-using-nixtlar-2/
#TimeSeries #MachineLearning #RStats #AI #TimeGPT
VictoriaMetrics Playgrounds! Did you know that #VictoriaMetrics offers interactive #playgrounds to enhance your experience?
Test the query engine: Experiment with queries to uncover valuable insights.
Ready to explore?
Try today at bit.ly/4hNc9DJ #timeseries #observability #opensource #devtools