Looking for evidence you can use? The Data Explorer helps users work with Indigenous Navigator findings in a more accessible way and supports stronger communication, comparison and advocacy. #DataExplorer #IndigenousData https://bit.ly/4sZpVc9
October 27, 2026 at 8:54 AM
Looking for evidence you can use? The Data Explorer helps users work with Indigenous Navigator findings in a more accessible way and supports stronger communication, comparison and advocacy. #DataExplorer #IndigenousData https://bit.ly/4sZpVc9
💡 Wie werden Ressourcen zwischen Altersgruppen durch Transferzahlungen (um)verteilt?
📈 Der European National Transfer Accounts Data Explorer macht diese Daten erstmals für Europa nach Geschlecht und Alter zugänglich: ntaeurope.shinyapps.io/dataexplorer/
📈 Der European National Transfer Accounts Data Explorer macht diese Daten erstmals für Europa nach Geschlecht und Alter zugänglich: ntaeurope.shinyapps.io/dataexplorer/
August 19, 2026 at 9:53 AM
💡 Wie werden Ressourcen zwischen Altersgruppen durch Transferzahlungen (um)verteilt?
📈 Der European National Transfer Accounts Data Explorer macht diese Daten erstmals für Europa nach Geschlecht und Alter zugänglich: ntaeurope.shinyapps.io/dataexplorer/
📈 Der European National Transfer Accounts Data Explorer macht diese Daten erstmals für Europa nach Geschlecht und Alter zugänglich: ntaeurope.shinyapps.io/dataexplorer/
📣 New to the #OECD #DataExplorer - or ready to use it more efficiently? This short video walks through how to search, preview and use #OECDStats, including downloads, API access & sharing options.
📊Watch now: shorturl.at/cEyjH
🔎Explore our data: data-explorer.oecd.org
📊Watch now: shorturl.at/cEyjH
🔎Explore our data: data-explorer.oecd.org
July 3, 2026 at 1:19 PM
📣 New to the #OECD #DataExplorer - or ready to use it more efficiently? This short video walks through how to search, preview and use #OECDStats, including downloads, API access & sharing options.
📊Watch now: shorturl.at/cEyjH
🔎Explore our data: data-explorer.oecd.org
📊Watch now: shorturl.at/cEyjH
🔎Explore our data: data-explorer.oecd.org
P.s. in fact the data comes from here: rshiny.ilo.org/dataexplorer...
I'm sure there is some method behind, but I would study in detail the statistics and evolution of a five country before drawing overly broad conclusions.
I'm sure there is some method behind, but I would study in detail the statistics and evolution of a five country before drawing overly broad conclusions.
ILOSTAT Data Explorer
rshiny.ilo.org
May 3, 2026 at 3:50 PM
P.s. in fact the data comes from here: rshiny.ilo.org/dataexplorer...
I'm sure there is some method behind, but I would study in detail the statistics and evolution of a five country before drawing overly broad conclusions.
I'm sure there is some method behind, but I would study in detail the statistics and evolution of a five country before drawing overly broad conclusions.
map is via CDC’s EPH Tracking Network btw. ephtracking.cdc.gov/DataExplorer/
April 30, 2026 at 11:41 PM
map is via CDC’s EPH Tracking Network btw. ephtracking.cdc.gov/DataExplorer/
📊 New report, new data visualiser!
Australia's Environment Data Explorer gives access to summaries as maps, accounts and charts. View by point, region or landcover, compare with previous years or download.
Explore the data at ausenv.tern.org.au
#AusEnv2025 #DataExplorer #EnvironmentalMonitoring
Australia's Environment Data Explorer gives access to summaries as maps, accounts and charts. View by point, region or landcover, compare with previous years or download.
Explore the data at ausenv.tern.org.au
#AusEnv2025 #DataExplorer #EnvironmentalMonitoring
April 7, 2026 at 12:00 AM
📊 New report, new data visualiser!
Australia's Environment Data Explorer gives access to summaries as maps, accounts and charts. View by point, region or landcover, compare with previous years or download.
Explore the data at ausenv.tern.org.au
#AusEnv2025 #DataExplorer #EnvironmentalMonitoring
Australia's Environment Data Explorer gives access to summaries as maps, accounts and charts. View by point, region or landcover, compare with previous years or download.
Explore the data at ausenv.tern.org.au
#AusEnv2025 #DataExplorer #EnvironmentalMonitoring
This month, DataExplorer hit 1M downloads & its 10th birthday! v0.9.0 just made its way to CRAN with interactive plotly integration, a few enhancements, and a new logo! Thanks for the R community for sticking with me for a decade!
boxuancui.github.io/DataExplorer/
#rstats #DataExplorer #DataScience
boxuancui.github.io/DataExplorer/
#rstats #DataExplorer #DataScience
Automate Data Exploration and Treatment
Automated data exploration process for analytic tasks and predictive modeling, so that users could focus on understanding data and extracting insights. The package scans and analyzes each variable, an...
boxuancui.github.io
March 8, 2026 at 5:35 PM
This month, DataExplorer hit 1M downloads & its 10th birthday! v0.9.0 just made its way to CRAN with interactive plotly integration, a few enhancements, and a new logo! Thanks for the R community for sticking with me for a decade!
boxuancui.github.io/DataExplorer/
#rstats #DataExplorer #DataScience
boxuancui.github.io/DataExplorer/
#rstats #DataExplorer #DataScience
Updates on CRAN: DataExplorer (0.9.0), FastGaSP (0.6.3), GALAHAD (2.0.0), inlabru (2.14.0), nanonext (1.8.1), OpenMx (2.22.11), RcppAlgos (2.10.0), RcppBessel (1.0.1), salso (0.3.69), spStack (1.1.3), tram (1.4-1)
March 8, 2026 at 9:30 AM
Updates on CRAN: DataExplorer (0.9.0), FastGaSP (0.6.3), GALAHAD (2.0.0), inlabru (2.14.0), nanonext (1.8.1), OpenMx (2.22.11), RcppAlgos (2.10.0), RcppBessel (1.0.1), salso (0.3.69), spStack (1.1.3), tram (1.4-1)
Fun fact: Korea’s fatal workplace accident rate is higher than America’s: rshiny.ilo.org/dataexplorer...
ILOSTAT Data Explorer
rshiny.ilo.org
November 30, 2025 at 12:42 PM
Fun fact: Korea’s fatal workplace accident rate is higher than America’s: rshiny.ilo.org/dataexplorer...
Hierarchical Progressive Survey (HiPS) format: moving from visualisation to scientific analysis. Fabrizio Giordano et. al. https://arxiv.org/abs/2510.09533
October 13, 2025 at 2:48 PM
Hierarchical Progressive Survey (HiPS) format: moving from visualisation to scientific analysis. Fabrizio Giordano et. al. https://arxiv.org/abs/2510.09533
And, not to dismiss any value in the bot...but packages like skimr & DataExplorer and other EDA tools are very effective for data quality checks w/out having to write tons of your own code.
Is it nice to have it embedded in the IDE? Of course.
Is this a new data quality tool? No.
Is it nice to have it embedded in the IDE? Of course.
Is this a new data quality tool? No.
September 18, 2025 at 4:19 AM
And, not to dismiss any value in the bot...but packages like skimr & DataExplorer and other EDA tools are very effective for data quality checks w/out having to write tons of your own code.
Is it nice to have it embedded in the IDE? Of course.
Is this a new data quality tool? No.
Is it nice to have it embedded in the IDE? Of course.
Is this a new data quality tool? No.
Updates on CRAN: DataExplorer (0.8.4), microplot (1.0-47), stablelearner (0.1-6)
July 25, 2025 at 5:19 AM
Updates on CRAN: DataExplorer (0.8.4), microplot (1.0-47), stablelearner (0.1-6)
Make smarter moves faster! Uncover insights instantly with Azure Data Explorer and AWS QuickSight. #BusinessIntelligence #DataExplorer #QuickSight #CloudAnalytics #CloudDailywire
Maximize Analytics with Azure ADX and AWS QuickSight
Business intelligence (BI) platforms are critical in transforming data into actionable insights. As industries increasingly rely on large datasets to inform decisions, selecting robust analytics platforms becomes essential. Today, two major players stand out in this landscape—Azure Data Explorer (ADX) and AWS QuickSight. Here we delve into their capabilities, evaluate industry-specific scenarios, and highlight cost optimization and complexity reduction strategies. Finally, we will explore emerging analytics trends shaping future BI landscapes.
clouddailywire.com
May 29, 2025 at 4:03 PM
Make smarter moves faster! Uncover insights instantly with Azure Data Explorer and AWS QuickSight. #BusinessIntelligence #DataExplorer #QuickSight #CloudAnalytics #CloudDailywire
Grafana is by far the most feature-full dashboarding system. InfluxDB dashboards are too limited and the new Explorer for InfluxDB v3 didn't work when I tried it. Not to mention, it's closed-source, see: github.com/influxdata/i...
InfluxDB3 Explorer Needs Support for AMD/Intel Platforms · Issue #26299 · influxdata/influxdb
Currently the Dataexplorer seems not to be usable since it is not startable on AMD/Intel Plattforms Steps to reproduce: docker pull quay.io/influxdb/influxdb3-explorer:latest docker run --name infl...
github.com
May 14, 2025 at 4:20 AM
Grafana is by far the most feature-full dashboarding system. InfluxDB dashboards are too limited and the new Explorer for InfluxDB v3 didn't work when I tried it. Not to mention, it's closed-source, see: github.com/influxdata/i...
+1
I occasionally clean in Excel…
For categories, have a look at {forcats}.
For an overview, {DataExplorer} has significant limitations, esp. for high-cardinality categoricals, but can serve as an intermediary for identifying what additional tailoring could be done.
My clutch crutch:
I occasionally clean in Excel…
For categories, have a look at {forcats}.
For an overview, {DataExplorer} has significant limitations, esp. for high-cardinality categoricals, but can serve as an intermediary for identifying what additional tailoring could be done.
My clutch crutch:
April 14, 2025 at 7:55 AM
+1
I occasionally clean in Excel…
For categories, have a look at {forcats}.
For an overview, {DataExplorer} has significant limitations, esp. for high-cardinality categoricals, but can serve as an intermediary for identifying what additional tailoring could be done.
My clutch crutch:
I occasionally clean in Excel…
For categories, have a look at {forcats}.
For an overview, {DataExplorer} has significant limitations, esp. for high-cardinality categoricals, but can serve as an intermediary for identifying what additional tailoring could be done.
My clutch crutch:
Good to know! 🤦♀️ for anyone seeking their correct local elected officials, the County’s website is accurate: data.howardcountymd.gov/DataExplorer...
Howard County Data Explorer
data.howardcountymd.gov
January 31, 2025 at 8:05 PM
Good to know! 🤦♀️ for anyone seeking their correct local elected officials, the County’s website is accurate: data.howardcountymd.gov/DataExplorer...
@icimod.bsky.social’s Regional Database System received over 10K data downloads in 2024. 🗺️ 🎉 Our Regional Data Explorer app allows users to explore data concerning the Hindu Kush Himalayas from Land Cover, Landslides to Earthquakes. Check out the application here: rds.icimod.org/DataExplorer
January 13, 2025 at 6:32 AM
@icimod.bsky.social’s Regional Database System received over 10K data downloads in 2024. 🗺️ 🎉 Our Regional Data Explorer app allows users to explore data concerning the Hindu Kush Himalayas from Land Cover, Landslides to Earthquakes. Check out the application here: rds.icimod.org/DataExplorer
Writing ggplot2 extended continues...
The latest published (first version) chapter is about visualizing data summaries.
The {DataExplorer} package by Boxuan Cui is the main character of this one:
ggplot2-extended-book.com/data#sec-sum...
#ggplot2
#DataViz
#Writing
#RStats
💙📚
📊
The latest published (first version) chapter is about visualizing data summaries.
The {DataExplorer} package by Boxuan Cui is the main character of this one:
ggplot2-extended-book.com/data#sec-sum...
#ggplot2
#DataViz
#Writing
#RStats
💙📚
📊
December 8, 2024 at 11:43 AM
Writing ggplot2 extended continues...
The latest published (first version) chapter is about visualizing data summaries.
The {DataExplorer} package by Boxuan Cui is the main character of this one:
ggplot2-extended-book.com/data#sec-sum...
#ggplot2
#DataViz
#Writing
#RStats
💙📚
📊
The latest published (first version) chapter is about visualizing data summaries.
The {DataExplorer} package by Boxuan Cui is the main character of this one:
ggplot2-extended-book.com/data#sec-sum...
#ggplot2
#DataViz
#Writing
#RStats
💙📚
📊
"Data Explorer" is now Microsoft Power Query for Excel: http://blogs.msdn.com/b/dataexplorer/archive/2013/07/06/quot-data-explorer-quot-is-now-microsoft-power-query-for-excel.aspx
403 Forbidden
blogs.msdn.com
December 2, 2024 at 6:04 PM
"Data Explorer" is now Microsoft Power Query for Excel: http://blogs.msdn.com/b/dataexplorer/archive/2013/07/06/quot-data-explorer-quot-is-now-microsoft-power-query-for-excel.aspx
Visual EDA in #R 💪 in ONE LINE OF CODE
DataExplorer::create_report(airquality, y = "Ozone")
Short video for more: youtu.be/W3xErD6qIzg
#rstats #statistics #dataanalysis #stats #datascience #r4ds
DataExplorer::create_report(airquality, y = "Ozone")
Short video for more: youtu.be/W3xErD6qIzg
#rstats #statistics #dataanalysis #stats #datascience #r4ds
November 29, 2024 at 12:40 AM
Visual EDA in #R 💪 in ONE LINE OF CODE
DataExplorer::create_report(airquality, y = "Ozone")
Short video for more: youtu.be/W3xErD6qIzg
#rstats #statistics #dataanalysis #stats #datascience #r4ds
DataExplorer::create_report(airquality, y = "Ozone")
Short video for more: youtu.be/W3xErD6qIzg
#rstats #statistics #dataanalysis #stats #datascience #r4ds
Actually, I think I changed my mind about DataExplorer. The part of it that deals with EDA is among the more useful visual summarization tools out there, it seems. Plus I'm experiencing some annoying problems with gt + gtExtras (especially the gt_plt_summary() function)...
November 28, 2024 at 5:11 PM
Actually, I think I changed my mind about DataExplorer. The part of it that deals with EDA is among the more useful visual summarization tools out there, it seems. Plus I'm experiencing some annoying problems with gt + gtExtras (especially the gt_plt_summary() function)...