Lmst

📊 #MakeoverMonday – 2025 W23 | What future will U.S. truck manufacturing have under Trump?
.
🔗: https://stevenponce.netlify.app/data_visualizations/MakeoverMonday/2025/mm_2025_23.html
.
#rstats | #DataFam | #dataviz | #ggplot2

Dual-chart visualization showing U.S. truck manufacturing employment impacts. The top heatmap displays five policy scenarios (rows) versus three job categories (columns), with green indicating job gains and red showing losses. The policy Retreat row shows red losses (-596 to -3,332 jobs), while other scenarios show green gains. The bottom waterfall chart shows progressive job creation from baseline through four positive scenarios, building from +11,182 to +19,122 total jobs, with a separate red bar showing -3,332 job loss under the Policy Retreat alternative.

📊 #MakeoverMonday – 2025 W21 | Metacritic Best Games of All Time
.
🔗: https://stevenponce.netlify.app/data_visualizations/MakeoverMonday/2025/mm_2025_21.html
.
#rstats | #DataFam | #dataviz | #ggplot2

This data visualization compares top-rated games across platforms. Left panel shows a treemap where PC dominates with 212 games versus various console platforms (PlayStation, Xbox, Nintendo). Right panel displays a scatter plot of Metacritic scores (90-100) from 1990s-2025, showing PC games (blue dots) consistently achieving high ratings across decades, with several standout titles above 97 points, while console games (gray dots) have occasional high-performers but less consistent excellence.

📊 #MakeoverMonday – 2025 W20 | The Religious Composition of the World’s Migrants
.
🔗: https://stevenponce.netlify.app/data_visualizations/MakeoverMonday/2025/mm_2025_20.html
.
#rstats | #DataFam | #dataviz | #ggplot2

A diverging bar chart showing religious representation gaps between migrants and general population. Christians (+16.6), Muslims (+3.7), and Jewish (+0.9) are overrepresented among migrants (purple bars extending right), while Hindus (-10.2) and religiously unaffiliated (-10) are underrepresented (pink bars extending left). Buddhist representation is nearly equal (-0.1). Horizontal arrows indicate the direction of over- and underrepresentation.

📊 #MakeoverMonday – 2025 W19 | Asian Restaurant in the US
.
🔗: https://stevenponce.netlify.app/data_visualizations/MakeoverMonday/2025/mm_2025_19.html
.
#rstats | #DataFam | #dataviz | #ggplot2

A data visualization titled 'The Uneven Landscape of Asian Restaurants in the U.S.' showing two main charts. The top chart displays the composition of Asian restaurants by cuisine type, with Chinese (39%), Japanese (28%), and Thai (11%) dominating. The bottom chart shows representation gaps, highlighting how Japanese (+21%), Chinese (+15%), and Thai (+9%) cuisines are over-represented compared to their population percentages, while Filipino (-19%) and Indian (-14%) cuisines are significantly under-represented. Key insights explain that only 12% of U.S. restaurants serve Asian food and that the three dominant cuisines represent only one-third of Asian Americans.

Excellent use of data visualisation. A great resource for first-time voters ahead of this weekend's Australian federal election: "Where the election will be won and lost — or maybe left hanging" #data #datafam #auspol

https://www.abc.net.au/news/2025-05-02/election-paths-to-victory/105226740

📊 #MakeoverMonday – 2025 W18 | Trump Approval Ratings
.
🔗: https://stevenponce.netlify.app/data_visualizations/MakeoverMonday/2025/mm_2025_18.html
.
#rstats | #DataFam | #dataviz | #ggplot2

Bar chart titled 'Trump Approval Ratings Across Selected Demographic Groups' showing approval and disapproval percentages across different demographics. Black Americans show highest disapproval (82%) with lowest approval (14%), while Republicans show highest approval (75%) with lowest disapproval (24%). Other groups including Hispanic, Postgrad, Ages 18-29, Women, Total population, Men, and White Americans all show higher disapproval than approval, with White Americans being closest to parity (49% approval, 51% disapproval). Data from Pew Research survey, April 7-13, 2025.

📊 #MakeoverMonday – 2025 W13 | Work Productivity
.
🔗: https://stevenponce.netlify.app/data_visualizations/MakeoverMonday/2025/mm_2025_13.html
.
#rstats | #DataFam | #dataviz | #ggplot2

Bar chart showing Focus to Collaboration Ratio across industries. Financial Services has the highest ratio (1.73:1), followed by Professional Services (1.60:1) and Cross-Industry (1.52:1). Insurance is balanced exactly at 1.50:1, while Healthcare is the most collaboration-oriented at 1.43:1. Bars represent deviation from the balanced 1.5:1 ratio, with hour differences noted for each industry.

📊 #MakeoverMonday – 2025 W12 | Precipitation Anomalies
.
🔗: https://stevenponce.netlify.app/data_visualizations/MakeoverMonday/2025/mm_2025_12.html
.
#rstats | #DataFam | #dataviz | #ggplot2

Side-by-side visualization showing El Niño's impact on precipitation across five regions. The left side displays density plots showing distribution patterns; the right side shows mean values with confidence intervals. Data reveals contrasting precipitation patterns during El Niño vs normal years, with India showing the most dramatic differences.

📊 #MakeoverMonday – 2025 W11 | Electric Car Sales
.
🔗: https://stevenponce.netlify.app/data_visualizations/MakeoverMonday/2025/mm_2025_11.html
.
#rstats | #DataFam | #dataviz | #ggplot2

The visualization shows the transformation of the global electric vehicle market from 2013-2023. The top section features stacked area charts displaying vehicle stock in millions for BEVs and PHEVs, with regions color-coded (China in red, Europe in blue, ROW in purple, USA in green). China dominates both markets, particularly after 2018. The bottom section presents heatmaps of year-over-year growth percentages by region and powertrain type, with darker blues indicating higher growth rates. Notable patterns include China's exceptional BEV growth (256% in 2015) and rapid PHEV expansion after 2021. The visualization highlights how the 2021-2023 period added 40M EVs, three times the entire 2013-2020 period.

📊 #MakeoverMonday – 2025 W10 | River Water Quality
.
🔗: https://stevenponce.netlify.app/data_visualizations/MakeoverMonday/2025/mm_2025_10.html
.
#rstats | #DataFam | #dataviz | #ggplot2

The Thames in Motion" visualization shows three charts analyzing water quality at Fulham Reach Boat Club. Top left: Negative correlation between water flow and rubbish collected. Top right: Turbidity peaks at moderate flow rates with blue-green algae common at low flows. Bottom: Seasonal nitrate and phosphate relationships across four seasons with theoretical thresholds. All charts demonstrate how river flow fundamentally impacts pollution accumulation, water clarity, and nutrient dynamics.

📊 #MakeoverMonday – 2025 W09 | World Population Estimates & Projections
.
🔗: https://stevenponce.netlify.app/data_visualizations/MakeoverMonday/2025/mm_2025_09.html
.
#rstats | #DataFam | #dataviz | #ggplot2

A horizon plot showing population growth rates across different regions from 1960 to 2050. The visualization uses green shades for positive growth and red shades for decline. Eastern and Southern Africa show consistently high growth rates (green), while Europe and North America trend towards decline (red) in later years.

Tableau Interview Questions on Project | Most failed |#xpressurdata

tableauinterviewquestions, #tableauinterview, #tableau Hello #datafam In this video, I tried to explain about all the possible ... source

https://quadexcel.com/wp/tableau-interview-questions-on-project-most-failed-xpressurdata/

Tableau Public version: https://public.tableau.com/app/profile/nicola.rennie/viz/SouthernResidentKillerWhaleEncounters/Orcas

#Tableau #DataFam

Getting started with Tableau in 2024
.
2024 | Week 14 | build a unit chart
.
🔗 https://public.tableau.com/app/profile/sp1158/viz/B2VB2024week14/Dashboard1
.
#B2VB | #datafam | #newbie

Getting started with Tableau in 2024
.
2024 | Week 13 | build a box & whisker plot
.
🔗 https://public.tableau.com/app/profile/sp1158/viz/B2VB2024week13/Dashboard1
.
#B2VB | #datafam | #newbie

Visualisations were previously only hosted in Excel, and yesterday I finally created a static dashboard on Tableau to track the live performances I have seen around the world. On the phone it looks better on landscape. Happy to take feedback! #datafam #tableau

https://public.tableau.com/views/TBL_LivePerformances_v01/LivePerformances

Getting started with Tableau in 2024
.
2024 | Week 12 | use annotations effectively
.
🔗 https://public.tableau.com/app/profile/sp1158/viz/B2VB2024week12/Dashboard1
.
#B2VB | #datafam | #newbie