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RDNThe data explorer mapdata.py (<a href="https://pypi.org/project/mapdata/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://pypi.org/project/mapdata/</a>) has a new plotting tool that displays percentages for a set of numerical variables and a single categorical variable. Percentages can be calculated either by variable or by category. Data can be aggregated by min, max, mean, median, sum, or count prior to calculation of percentages.<a href="https://floss.social/tags/MapData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MapData</a> <a href="https://floss.social/tags/DataExploration" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataExploration</a> <a href="https://floss.social/tags/DataAnalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataAnalysis</a> <a href="https://floss.social/tags/DataViz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataViz</a> <a href="https://floss.social/tags/DataVisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataVisualization</a> <a href="https://floss.social/tags/Plotting" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Plotting</a> <a href="https://floss.social/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Python</a> <a href="https://floss.social/tags/FOSS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#FOSS</a> <a href="https://floss.social/tags/FLOSS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#FLOSS</a>

RDNA new plotting tool in the data explorer mapdata.py (<a href="https://pypi.org/project/mapdata/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://pypi.org/project/mapdata/</a>) will produce stacked bar charts for any number of numeric variables and one categorical variable. A separate bar chart can be produced either for each category or for each variable.There is also a new selection tool that highlights complete cases of any set of variables.<a href="https://floss.social/tags/MapData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MapData</a> <a href="https://floss.social/tags/DataExploration" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataExploration</a> <a href="https://floss.social/tags/DataAnalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataAnalysis</a> <a href="https://floss.social/tags/DataViz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataViz</a> <a href="https://floss.social/tags/DataVisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataVisualization</a> <a href="https://floss.social/tags/FOSS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#FOSS</a> <a href="https://floss.social/tags/FLOSS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#FLOSS</a> <a href="https://floss.social/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Python</a>

RDNThe documentation for the data explorer mapdata.py (<a href="https://pypi.org/project/mapdata/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://pypi.org/project/mapdata/</a>) now includes a visual index to the 40 different types of plots that can be created: <a href="https://mapdata.readthedocs.io/en/latest/graphic_plot_index.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://mapdata.readthedocs.io/en/latest/graphic_plot_index.html</a><a href="https://floss.social/tags/MapData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MapData</a> <a href="https://floss.social/tags/DataViz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataViz</a> <a href="https://floss.social/tags/DataAnalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataAnalysis</a> <a href="https://floss.social/tags/Plotting" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Plotting</a> <a href="https://floss.social/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Python</a> <a href="https://floss.social/tags/FOSS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#FOSS</a> <a href="https://floss.social/tags/FLOSS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#FLOSS</a>

RDNNew features in the data explorer mapdata.py (<a href="https://pypi.org/project/mapdata/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://pypi.org/project/mapdata/</a>) are:* Profile plots of the end members identified using the NMF unmixing tool.* Plots of unmixing diagnostics to assist in selecting the number of end members.* A cardinality testing tool to evaluate whether there are one-to-one or one-to-many relationships between columns in the data table.<a href="https://floss.social/tags/MapData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MapData</a> <a href="https://floss.social/tags/DataAnalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataAnalysis</a> <a href="https://floss.social/tags/DataViz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataViz</a> <a href="https://floss.social/tags/DataManagement" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataManagement</a> <a href="https://floss.social/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Python</a> <a href="https://floss.social/tags/FLOSS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#FLOSS</a> <a href="https://floss.social/tags/FOSS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#FOSS</a>

RDNThe mapdata.py data explorer (<a href="https://pypi.org/project/mapdata/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://pypi.org/project/mapdata/</a>) now will carry out unmixing of data using non-negative matrix factorization (NMF).This is useful for source identification and allocation for environmental chemistry data.The values of end members in each case (e.g., sample) can be added to the main data table so that they can then be used for map symbolization, plotting, and other statistical analyses.<a href="https://floss.social/tags/MapData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MapData</a> <a href="https://floss.social/tags/DataExploration" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataExploration</a> <a href="https://floss.social/tags/DataAnalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataAnalysis</a> <a href="https://floss.social/tags/Unmixing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Unmixing</a> <a href="https://floss.social/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Python</a> <a href="https://floss.social/tags/FOSS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#FOSS</a> <a href="https://floss.social/tags/FLOSS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#FLOSS</a>

RDNThe 'Find Candidate Keys' tool of mapdata.py (<a href="https://pypi.org/project/mapdata/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://pypi.org/project/mapdata/</a>) now will show a table of duplicated key values with the number of duplicates, and highlight those duplicates on the map.Also new is a categorical similarity matrix for five similarity measures from Boriah et al. 2008 (<a href="https://epubs.siam.org/doi/10.1137/1.9781611972788.22" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://epubs.siam.org/doi/10.1137/1.9781611972788.22</a>).Other updates are listed in the change log (<a href="https://mapdata.readthedocs.io/en/latest/change_log.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://mapdata.readthedocs.io/en/latest/change_log.html</a>).<a href="https://floss.social/tags/MapData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MapData</a> <a href="https://floss.social/tags/DataManagement" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataManagement</a> <a href="https://floss.social/tags/DataExploration" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataExploration</a> <a href="https://floss.social/tags/DataAnalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataAnalysis</a> <a href="https://floss.social/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Python</a> <a href="https://floss.social/tags/FOSS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#FOSS</a> <a href="https://floss.social/tags/FLOSS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#FLOSS</a>

RDNMany of the plotting and statistical tools in the data explorer mapdata.py (<a href="https://pypi.org/project/mapdata/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://pypi.org/project/mapdata/</a>) allow or require a grouping variable. Locations are identified by two variables, latitude and longitude, so to group by location a variable with a unique identifier for each location is needed. The 'Table/Counts by location' tool will identify such a variable if it exists. Now...1/2<a href="https://floss.social/tags/MapData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MapData</a> <a href="https://floss.social/tags/DataAnalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataAnalysis</a> <a href="https://floss.social/tags/DataExploration" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataExploration</a> <a href="https://floss.social/tags/Mapping" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Mapping</a> <a href="https://floss.social/tags/Statistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Statistics</a> <a href="https://floss.social/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Python</a> <a href="https://floss.social/tags/FOSS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#FOSS</a> <a href="https://floss.social/tags/FLOSS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#FLOSS</a>

RDNThe data explorer mapdata.py (<a href="https://pypi.org/project/mapdata/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://pypi.org/project/mapdata/</a>) has the following updates:* The robust R-square of Kvålseth (<a href="https://www.jstor.org/stable/2683704" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.jstor.org/stable/2683704</a>) is included with the bivariate statistics.* A cosine similarity matrix can be calculated for selected variables and cases.1/3<a href="https://floss.social/tags/MapData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MapData</a> <a href="https://floss.social/tags/DataAnalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataAnalysis</a> <a href="https://floss.social/tags/DataExploration" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataExploration</a> <a href="https://floss.social/tags/Statistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Statistics</a> <a href="https://floss.social/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Python</a> <a href="https://floss.social/tags/FOSS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#FOSS</a> <a href="https://floss.social/tags/FLOSS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#FLOSS</a>

RDNThe data explorer mapdata.py (<a href="https://pypi.org/project/mapdata/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://pypi.org/project/mapdata/</a>) has two new statistical tools:* Parametric and non-parametric one-way ANOVA and related statistics.* A trend plot per Şen 2012 (<a href="https://ascelibrary.org/doi/10.1061/%28ASCE%29HE.1943-5584.0000556" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://ascelibrary.org/doi/10.1061/%28ASCE%29HE.1943-5584.0000556</a>).<a href="https://floss.social/tags/DataExploration" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataExploration</a> <a href="https://floss.social/tags/DataAnalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataAnalysis</a> <a href="https://floss.social/tags/MapData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MapData</a> <a href="https://floss.social/tags/Statistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Statistics</a> <a href="https://floss.social/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Python</a> <a href="https://floss.social/tags/FOSS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#FOSS</a> <a href="https://floss.social/tags/FLOSS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#FLOSS</a>

RDNAn updated version of the data explorer mapdata.py (<a href="https://pypi.org/project/mapdata/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://pypi.org/project/mapdata/</a>) has the following revisions:* Input data for the t-SNE and UMAP analyses can be transformed by taking either Z scores of variables or L1 norms of rows.* The t-SNE analysis can now be performed on sparse matrixes.* The univariate statistics summary now allows a grouping variable to be used.<a href="https://floss.social/tags/DataAnalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataAnalysis</a> <a href="https://floss.social/tags/DataExploration" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataExploration</a> <a href="https://floss.social/tags/Mapdata" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Mapdata</a> <a href="https://floss.social/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Python</a> <a href="https://floss.social/tags/FOSS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#FOSS</a> <a href="https://floss.social/tags/FLOSS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#FLOSS</a>

RDNTo test installation of mapdata.py (<a href="https://pypi.org/project/mapdata/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://pypi.org/project/mapdata/</a>) under Python 3.12 in a venv (my dev machine runs 3.10), the following additional system packages must be installed during the installation of Python 3.12: libssl-dev, build-essential, libffi-dev, libsqlite3-dev, and tk-dev. After installation of these (e.g., with apt on Debian), the Python installation must be completed with `./configure & make & make install`.<a href="https://floss.social/tags/MapData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MapData</a> <a href="https://floss.social/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Python</a> <a href="https://floss.social/tags/Python312" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Python312</a>

RDNUpdates to the mapdata.py data explorer (<a href="https://pypi.org/project/mapdata/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://pypi.org/project/mapdata/</a>) include:1. Bivariate statistics include Chatterjee's xi correlation coefficient.2. The correlation matrix can display Pearson, Spearman, Kendall, or Chatterjee correlation coefficients.3. k-Means clustering can be applied to t-SNE and UMAP analyses. The cluster identifiers can be added to the data table and used for map display or grouping in plots.<a href="https://floss.social/tags/MapData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MapData</a> <a href="https://floss.social/tags/Statistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Statistics</a> <a href="https://floss.social/tags/DataExploration" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataExploration</a> <a href="https://floss.social/tags/DataAnalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataAnalysis</a> <a href="https://floss.social/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Python</a> <a href="https://floss.social/tags/FOSS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#FOSS</a> <a href="https://floss.social/tags/FLOSS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#FLOSS</a>

RDNThe latest version of the data explorer mapdata.py (<a href="https://pypi.org/project/mapdata/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://pypi.org/project/mapdata/</a>) includes the following new features:1. Pair plots for any two or more numeric variables.2. Fitting of univariate data to a selected distribution.3. A tool for Uniform Manifold Approximation and Projection (UMAP) analysis of multivariate data.<a href="https://floss.social/tags/MapData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MapData</a> <a href="https://floss.social/tags/Mapping" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Mapping</a> <a href="https://floss.social/tags/Statistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Statistics</a> <a href="https://floss.social/tags/DataAnalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataAnalysis</a> <a href="https://floss.social/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Python</a> <a href="https://floss.social/tags/FLOSS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#FLOSS</a> <a href="https://floss.social/tags/FOSS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#FOSS</a>

RDNWith the most recent updates, mapdata.py provides several means of finding, or creating, candidate keys (potential primary keys) for an entire data table or a selected subset thereof: <a href="https://mapdata.readthedocs.io/en/latest/how_to.html#finding-or-creating-candidate-keys" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://mapdata.readthedocs.io/en/latest/how_to.html#finding-or-creating-candidate-keys</a><a href="https://mastodon.online/tags/MapData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MapData</a> <a href="https://mastodon.online/tags/Database" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Database</a> <a href="https://mastodon.online/tags/DataAnalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataAnalysis</a>

RDNThe data explorer mapdata.py (<a href="https://pypi.org/project/mapdata/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://pypi.org/project/mapdata/</a>) has the following new features:* Bubble plots that show the relationships between three numeric variables and one categorical variable.* A scatter plot of the results of a t-SNE analysis.* A tool to evaluate candidate keys for all or selected data.* Additional ROC statistics.* A tool to create a unique row ID in the data table.<a href="https://mastodon.online/tags/MapData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MapData</a> <a href="https://mastodon.online/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Python</a> <a href="https://mastodon.online/tags/DataAnalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataAnalysis</a> <a href="https://mastodon.online/tags/Statistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Statistics</a> <a href="https://mastodon.online/tags/Mapping" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Mapping</a> <a href="https://mastodon.online/tags/FOSS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#FOSS</a>

RDNNew features in the data explorer MapData.py (<a href="https://pypi.org/project/mapdata/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://pypi.org/project/mapdata/</a>):1. Saturation, contrast, and brightness of basemap images can be customized.2. Hovering over a point on a scatter plot will display the label for that point.3. Data can be recoded to edit the values in an existing column or to add a column with new values to the data table.<a href="https://mastodon.online/tags/Mapdata" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Mapdata</a> <a href="https://mastodon.online/tags/Mapping" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Mapping</a> <a href="https://mastodon.online/tags/DataExploration" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataExploration</a> <a href="https://mastodon.online/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Python</a> <a href="https://mastodon.online/tags/FOSS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#FOSS</a>

RDNThe contingency table summary of mapdata.py (on PyPI) now includes the risk ratio, odds ratio, and confidence interval for the log odds ratio.<a href="https://mastodon.online/tags/Statistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Statistics</a> <a href="https://mastodon.online/tags/OddsRatio" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#OddsRatio</a> <a href="https://mastodon.online/tags/ContingencyTable" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ContingencyTable</a> <a href="https://mastodon.online/tags/Mapdata" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Mapdata</a> <a href="https://mastodon.online/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Python</a> <a href="https://mastodon.online/tags/PyPI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PyPI</a> <a href="https://mastodon.online/tags/FOSS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#FOSS</a>

RDNWhen a spatial data set contains multiple values at a location (e.g., from different dates or depths/elevations), the number of data points at a location, and even the presence of multiple data points at a location, may not be apparent on a 2-D map. The latest version of MapData.py (<a href="https://pypi.org/project/mapdata/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://pypi.org/project/mapdata/</a>) addresses this situation in five ways:1/6<a href="https://mastodon.online/tags/Mapping" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Mapping</a> <a href="https://mastodon.online/tags/MapData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MapData</a> <a href="https://mastodon.online/tags/DataAnalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataAnalysis</a> <a href="https://mastodon.online/tags/DataExploration" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataExploration</a> <a href="https://mastodon.online/tags/DataPlotting" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataPlotting</a> <a href="https://mastodon.online/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Python</a> <a href="https://mastodon.online/tags/FOSS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#FOSS</a>

Inautilo<a href="https://mastodon.social/tags/Design" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Design</a> <a href="https://mastodon.social/tags/Launches" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Launches</a> World-wide open map dataset · The Overture Maps Foundation released open data for 60 million places <a href="https://ilo.im/14ek76" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://ilo.im/14ek76</a>_____ <a href="https://mastodon.social/tags/World" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#World</a> <a href="https://mastodon.social/tags/Maps" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Maps</a> <a href="https://mastodon.social/tags/MapData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MapData</a> <a href="https://mastodon.social/tags/OpenData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#OpenData</a> <a href="https://mastodon.social/tags/OvertureMapsFoundation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#OvertureMapsFoundation</a> <a href="https://mastodon.social/tags/Business" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Business</a> <a href="https://mastodon.social/tags/Design" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Design</a> <a href="https://mastodon.social/tags/WebDesign" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#WebDesign</a> <a href="https://mastodon.social/tags/WebDevelopment" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#WebDevelopment</a> <a href="https://mastodon.social/tags/WebDev" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#WebDev</a> <a href="https://mastodon.social/tags/DataLayers" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataLayers</a> <a href="https://mastodon.social/tags/PlacesOfInterest" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PlacesOfInterest</a> <a href="https://mastodon.social/tags/Buildings" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Buildings</a> <a href="https://mastodon.social/tags/Transportation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Transportation</a> <a href="https://mastodon.social/tags/Boundaries" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Boundaries</a> <a href="https://mastodon.social/tags/Locations" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Locations</a>

! Quite InterestingSierra Leone is the world’s roundest country, especially if viewed through a toilet roll tube.<a href="https://toot.io/tags/SierraLeone" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SierraLeone</a> <a href="https://toot.io/tags/Africa" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Africa</a> <a href="https://toot.io/tags/country" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#country</a> <a href="https://toot.io/tags/countries" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#countries</a> <a href="https://toot.io/tags/shapes" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#shapes</a> <a href="https://toot.io/tags/maps" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#maps</a> <a href="https://toot.io/tags/mapdata" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#mapdata</a> <a href="https://toot.io/tags/GIS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#GIS</a> <a href="https://toot.io/tags/QI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#QI</a> <a href="https://toot.io/tags/notQI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#notQI</a>

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