A waffle plot
Waffle chart this week. Had a time adding the logos to the char but I got there in the end.
Code here: pgdatavizandstats.netlify.app/data_visuali...
#TidyTuesday #PyDyTuesday #Dataviz #rstats
Heatmap of Temperatures in Nova Scotia Ocean
Quick Heatmap #TidyTuesday #PydyTuesday
Code here: pgdatavizandstats.netlify.app/data_visuali...
Stacked bar chart showing percentage of female tortoises compared to male, between 2010 and 2023 for three different locations. The first two locations are a reasonable even split, but the third location (plateau) has a consistently low female percentage always below 6%.
A simple stacked bar chart for #TidyTuesday this week, looking at disparities in the number of male and female tortoises 🐢
Made with Plotnine in #Python 📊
Code: github.com/nrennie/tidy...
#DataViz #PydyTuesday #Plotnine
Congrats on ONE YEAR of #TidyTuesday / #PydyTuesday to Bernadett 🥳🥳🥳 I love B's work and getting to see all the imaginative ways she frames her plots and information 👏🏻
By the way, I have just completed one year of submitting my plots to the #pydytuesday. I may take a break due to other commitments, but I still hope to participate in the challenge from time to time.
This week’s #TidyTuesday explores Science Foundation Ireland grant commitments. I built 100% stacked bar charts to show how yearly commitments are divided among the top research bodies.
#pydytuesday #matplotlib #dataviz
This week #TidyTuesday explores the agricultural production statistics in New Zealand. I created slope charts to show how the cultivated area of specific crops changed between two decades.
#pydytuesday #matplotlib #dataviz
This week #TidyTuesday explores the 2026 Winter Olympics. I divided the discipline names into groups and created 2D kernel density estimate subplots for each, showing how event day and duration are distributed together.
#pydytuesday #matplotlib #seaborn #dataviz
This week #TidyTuesday explores the Edible Plants Database. I converted the categorical measurements into numerical values, computed the average for each category, and plotted them as triangles inside circles with circle angles corresponding to the measurements.
#pydytuesday #matplotlib #dataviz
Sunburst chart
Quick sunburst plot in python this morning. Better labelling of each layer would have been nice but I couldn't work it out
Code Here: pgdatavizandstats.netlify.app/data_visuali...
#TidyTuesday | #dataviz | #ggplot2 | #pydyTuesday
This week #TidyTuesday explores Brazilian Companies. I created a connected scatter plot of high and low capital stock pairs by legal nature. Axes are logarithmic to handle skewness, but labels display the original values.
#pydytuesday #matplotlib #dataviz
This week #TidyTuesday explores the Astronomy Picture of the Day (APOD) archive. I filtered the data to focus on Portugal related images and visualized them using circle packing.
#pydytuesday #matplotlib #dataviz
This week #TidyTuesday explores the Languages of Africa. I created radial bar charts for the top 3 language families.
#pydytuesday #matplotlib #dataviz
This week #TidyTuesday is about bringing our own data. Using the 2021 Census geopackage data from Portugal’s national statistics agency, I created a bivariate map of Lisbon’s residences categorized by low and high numbers of divisions.
#pydytuesday #matplotlib #geopandas #dataviz
This week #TidyTuesday explores Christmas novels from Project Gutenberg. I collected adjectives that directly precede the word “christmas” using part of speech tagging. Then I created an edge colormap graph to symbolize a sparkler.
#pydytuesday #matplotlib #spacy #networkx #dataviz
Counts for Santa and Christmas mentions in Christmas novels. Word count for each novel is in parentheses.
Counts for Santa and Christmas mentions in Christmas novels. Word count for each novel is in parentheses.
Notebook: dviz.manishdatt.com/r/25C5
#TidyTuesday #PydyTuesday #dataviz #PyData
This week #TidyTuesday explores the Languages of the World. I made some chord diagram subplots where each subplot highlights a different macro area.
#pydytuesday #matplotlib #pycirclize #dataviz
This week #TidyTuesday explores roundabouts in the world. I filtered the data for Portugal, added extra info, and made a grid of circles that looks like the Portugal map. The colors show how many roundabouts are in each district or autonomous region.
#pydytuesday #matplotlib #dataviz
This week #TidyTuesday explores data about cars in Qatar. I visualized the distribution of car performance by manufacturing country using raincloud plots.
#pydytuesday #matplotlib #seaborn #dataviz
Price distribution of cars in the qatarcars dataset by type and engine type.
Price distribution of qatarcars by type and engine type.
Notebook: dviz.manishdatt.com/r/25C2
#TidyTuesday #PydyTuesday #dataviz #rstats #PyData
This week #TidyTuesday explores the weather prediction of Zurich's exploding snowman. I gathered additional data and created a timeline plot with some fun facts and weather prediction.
#pydytuesday #matplotlib #dataviz
Timeline of the duration of the burning of the Boogg at the annual Sechselaeuten spring festival at Zurich. There seems to be no strong correlation between the burning time and summer temperature.
Timeline of the maximum annual temperature and the Duration of Böögg burning.
Notebook: dviz.manishdatt.com/r/25C1
#TidyTuesday #PydyTuesday #dataviz #rstats
This week #TidyTuesday explores the statistical performance indicators (SPI). I created gauge charts to show the overall statistical performance score per region.
#pydytuesday #dataviz #matplotlib
Timeline of 5 different parameters from WHO Statistical Performance Indicators for 10 countries showing maximum improvement in the overall score from 2004 to 2023.
Timeline of WHO SPI for top 10 countries showing the greatest improvement in the overall score.
Looks like Covid19 catalyzed product development.
Notebook: dviz.manishdatt.com/r/25B4
#TidyTuesday #PydyTuesday #dataviz #rstats
This week #TidyTuesday explores the Complete Sherlock Holmes. I selected a novel to compare how often Holmes and Watson are mentioned. After that I created square heatmaps to show the frequency of each mentioned name.
#pydytuesday #dataviz
Frequency of people and places in the Sherlock Holmes series.
Frequency of people and places in the Sherlock Holmes series.
Notebook: dviz.manishdatt.com/r/25B3
#TidyTuesday #PydyTuesday #dataviz #rstats
A word cloud of the words in Sherlock Holmes Man, one are the two biggest words
Tried doing a World cloud of the words in the entire Sherlock Holmes in python with a nasty head cold - can't recommend the head cold part.
Code: pgdatavizandstats.netlify.app/datavis
#PydyTuesday | #TidyTuesday | #Python
This week #TidyTuesday explores the global tuberculosis (TB) burden estimates. I used the great_tables library again, but this time I tried it with nanoplots.
#pydytuesday #dataviz
Two area plots of TB deaths hiv versus non hiv
This week's submission for #PydyTuesday. Missed ggplot slot when trying to make this plot
Code here: pgdatavizandstats.netlify.app/data_visuali...
#rstats | #python | #dataviz | #TidyTuesday
