dplyr
for R developers
Why this scored 7
every term, weightedIts fastest-moving item, measured against the pace of its own source
Whether that velocity is itself speeding up, as a per-hour rate
How many independent communities its own items come from
Decays to zero over 14 days, counted from when we first saw it
Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it
Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On an entity's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology
Signal history
7-day window (free)The evidence
The live items this entity's score aggregates — every community independently talking about it right now. This is the corroboration, shown, not claimed.
- 118
How to summarise hourly data of the Formal class 'Period'?
Data summarization technique · for data scientists
stackoverflowSteadydata78d ago - 215
Changing the class of a column using dplyr tools
Demonstrates column class conversion in dplyr for efficient data preprocessing. · for r developers, data analysts
stackoverflowSteadydata27d ago - 315
Why does case_when() work with one RHS value but return character(0) with another?
Shows inconsistent case_when behavior that can break R data transformation scripts. · for r developers, data analysts
stackoverflowSteadydata60d ago - 415
st_sample() applied to sf lines not plotting on lines
st_sample failing on sf line geometries can break spatial sampling workflows in R. · for R developers
stackoverflowSteadydata35d ago - 515
How to loop a function and save the outputs of each run as independent objects?
Shows how to loop a function in R and store each iteration as a separate object using dplyr. · for r developers, data analysts
stackoverflowSteadydata72d ago - 614
Avoid `zoo:na.fill(x, "extend")` error: need at least two non-NA values to interpolate
Fixing NA interpolation error in R requires at least two non-NA values. · for R developers
stackoverflowSteadydata24d ago - 714
dplyr::pick behaving differently than the deprecated dplyr::cur_data for list columns
dplyr::pick shows unexpected behavior with list columns, requiring attention for tidyverse data pipelines. · for R developers, data analysts
stackoverflowSteadydata57d ago - 814
Grouping by variables in a dataset across multiple columns
Explains how to group variables across multiple columns using R's dplyr. · for R developers, data analysts
stackoverflowSteadydata71d ago - 914
Creating a function to find two values across several columns and create a new column
Demonstrates R dplyr function to combine columns and generate new data fields. · for data analysts, R developers
stackoverflowSteadydata34d ago - 105
How to handle the ... parameter when programming with dplyr
Parameter handling issue · for r devs
stackoverflowSteadydata106d ago - 114
Performing summary statistics on a data table in R (with two different classes)
R data analysis · for data scientists
stackoverflowSteadydata92d ago