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:
GIF
Recent searches
Search options
#timeseries
0 posts0 participants0 posts today
Data wrangling complete on the #AirQualityInMadrid dataset. Normalized the features, filled missing values, and reshaped the data for time series forecasting. Ready to train some models now! #DataScience #TimeSeries #MachineLearning #Python #DataTalksClub #zoomcamp #Machinelearning
Completing the EDA phase on the #AirQualityInMadrid dataset. Looking for patterns, handling missing values, and investigating the seasonal variations in air quality. EDA is crucial before we move on to model training. #TimeSeries #DataScience #Python #DataTalksClub #zoomcamp #Machinelearning
binjr v3.21.1 is now available! 
It officially introduces long awaited features such as splittable view areas and the ability to chart metrics such as pause time or heap occupancy from JVM GC log files.
Furthermore, sources that connect via http now support basic authentication.
It also fixes an issue with the .deb package not working on Debian 12 (thanks to Thargor for contributing this).
Full changelog and download links at https://binjr.eu
binjrbinjr - A Time Series Browserbinjr is a standalone time series browser.
it renders time series data produced by other applications as dynamically editable
charts and provides advanced features to navigate the data smoothly and efficiently.
binjr v3.21.1 is now available!
It officially introduces long awaited features such as splittable view areas for charts and the ability to visualize data from a JVM GC log file.
Furthermore, all plugins that connect to sources via http now support basic authentication.
It also fixes an issue with the .deb package not working on Debian bookworm (thanks to contributor Thargor).
Full changelog and download links at https://binjr.eu
binjrbinjr - A Time Series Browserbinjr is a standalone time series browser.
it renders time series data produced by other applications as dynamically editable
charts and provides advanced features to navigate the data smoothly and efficiently.
binjr v3.21.1 is now available!
It officially introduces long awaited features such as splittable view areas for charts and the ability to visualize data from a JVM GC log file as timeseries.
Furthermore, all plugins that connect to sources via http now support basic authentication.
It also fixes an issue with the .deb package not working on Debian bookworm (thanks to contributor Thargor).
Full changelog and download links at https://binjr.eu
binjrbinjr - A Time Series Browserbinjr is a standalone time series browser.
it renders time series data produced by other applications as dynamically editable
charts and provides advanced features to navigate the data smoothly and efficiently.
I have a #timeseries of values at low temporal resolution where the values represent an average of the respective surrounding intervals.
I wish to up-sample this sequence to a higher temporal resolution in such a way that the average of the up-sampled values is equal to the corresponding value from the original time series.
Does an #algorithm for the kind of interpolation I am looking for exist? (not Pandas' resample or SciPy's signal.resample.) And is there an implementation of it in #Python?
binjr v3.20.1 is now available!
This is an interim release which fixes a regression introduced in v3.20.0 that severely impacts the performances of the CSV and Log files adapters.
Read the full changelog and download it at https://binjr.eu
binjrbinjr - A Time Series Browserbinjr is a standalone time series browser.
it renders time series data produced by other applications as dynamically editable
charts and provides advanced features to navigate the data smoothly and efficiently.
Continued thread
New UI feature: splittable visualization area
#binjr 3.20 is now available!
In this release:
* Quality-of-life improvements for users of the CSV adapter, like the ability to reload the file from disk using Ctrl+F5, or the possibility to relax the parsing rules and ignore lines with misformatted time stamps.
* Updates to the latest release of #OpenJDK and #OpenJFX
* Many bugs fixed, some particularly old and nagging!
And more! Read the full changelog and download it at https://binjr.eu
binjrbinjr - A Time Series Browserbinjr is a standalone time series browser.
it renders time series data produced by other applications as dynamically editable
charts and provides advanced features to navigate the data smoothly and efficiently.
Excellent blog post by Nick Clark showing how to work with state-space vector autoregressive models for non-Gaussian time-series, or in less technical terms - most ecological time-series. So if you model ecological time-series definitely go give it a read:
https://ecogambler.netlify.app/blog/vector-autoregressions/
and checkout the mvgam package:
GAMblerState-Space Vector Autoregressions in mvgam | GAMblerVector Autoregressions (VAR models), also known as Multivariate Autoregressions (MAR models), offer a way to model delayed and contemporaneous interactions among sets of multiple time series. These models are widely used in econometrics and psychology, among other fields, where they can be analyzed to ask many interesting questions about potential causality or stability. But software to fit these models to real-world time series, which often present as non-Gaussian counts, proportions or even binary observations with measurement error, is lacking. Here I show how to fit VARs in a State-Space format, and how to interrogate the models to ask meaningful questions about interactions and stability, using the mvgam package in R.
A bit of #TimeSeries #modeling in #R #RStats with my healthyR.ts for some visuals and modeling with the #parsnip extension for timeseies #modeltime
I'm pleased to announce release 0.7 of pg_statviz, the minimalist #extension and utility pair for time series analysis and visualization of #PostgreSQL internal statistics, with brand new features and #Postgres 17 support:
https://vyruss.org/blog/pg_statviz-0.7-released-new-features-pg17-support.html
-=vyruss=- / blog · pg_statviz 0.7 released with new features, PG17 supportExtension pg_statviz for time series analysis & visualization of Postgres internal statistics has released version 0.7 with new features and support for PostgreSQL 17.
#binjr 3.19 is now available!
The main feature for this release is that it does *not* put your machine into an endless cycle of BSOD!, (err... sorry was that too soon 
)
Aside from that, it's mostly fixes and updated dependencies, like the most recent security update for #openjdk and #openjfx.
Read the full changelog and download it at https://binjr.eu
binjrbinjr - A Time Series Browserbinjr is a standalone time series browser.
it renders time series data produced by other applications as dynamically editable
charts and provides advanced features to navigate the data smoothly and efficiently.
#binjr 3.19 is now available!
The mean feature for this release is that it does *not* put your machine into an endless cycle of BSOD, (err... sorry was that too soon )
Aside from that, it's mostly fixes and updated dependencies, like the most recent security update for #openjdk and #openjfx.
Read the full changelog and download it at https://binjr.eu
binjrbinjr - A Time Series Browserbinjr is a standalone time series browser.
it renders time series data produced by other applications as dynamically editable
charts and provides advanced features to navigate the data smoothly and efficiently.
Another night, another camera deployment on the seafloor of our southernmost #HAUSGARTEN station (~2300 m), which is most influenced by Atlantic waters. All our #TimeSeries stations are now completed for this year 
! #PS143/1 #Arctic @awi
GIF
Continued thread
"Extract Year from a datetime column", by Piyush Raj: https://datascienceparichay.com/article/pandas-extract-year-from-datetime-column/
Data Science Parichay · Pandas - Extract Year from a datetime column - Data Science ParichayTo extract the year from a datetime column in pandas, simply access it by referring to its "year" property. For example, df.['Col'].dt.year
An easy guide to predict possible future quantities, by Mercy Kibet: https://www.influxdata.com/blog/guide-regression-analysis-time-series-data/#heading0
InfluxData · A Guide to Regression Analysis with Time Series Data | InfluxDataRegression analysis with time series data is a potent tool for understanding relationships between variables. #influxdb
#binjr 3.18 is now available!
The highlight of this release is the addition of an option to dynamically set the application's theme according to the system's settings.
Read the full changelog and download it at https://binjr.eu
#Day19 of the #30DayChartChallenge, #dinosaurs first day of #Timeseries
Dinosaurs searches on Google 
: 