albersusa | Tools , shapefiles & data to work with an AlbersUSA | Map library

I have data for a few states in the US and others are Null. While creating the maps, I would like to shade in the states with the missing value in the text but I am struggling to find the correct method. With my current code, I am unable to get the entire US map including the states with the Null value, and only the states with a certain assigned value pop up. I have also looked at previous questions posted and tried layering the maps but that gives me an error. here's how cc_df looks like

Here's my code:

I need to plot the rivers in idaho from this website

When I load it into geopandas and try to plot it through altair.Chart().mark_geoshape() my graph comes up with a bunch of random lines and they aren't plotting as expected. I don't know what is going on because I am new when it comes to geospatial data.

I followed the pattern from this example https://altair-viz.github.io/gallery/london_tube.html but I wasn't able to plot the lines.

Any thoughts or how I can do this would be of great help! Below is the code I am using. Thank you!

I would like to add bar charts to a map in ggplot2. Similar questions exist (this one and this one) but their answers involve ggsubplot, which is deprecated. geom_scatterpie() provides a way to do this with pie charts (example 1 but also see example 2), but pie charts are not as visually intuitive as bar charts. Similarly, we can plot bubble size onto a map using geom_sf(size=) as explained here. So is there a way to do this with bars instead?

Reproducible example for making one bar per location:

I am trying to add pop_april_2010 values associated with each County to the map. However my code only returns the base map when I don't include the line "color='pop_april_2010:Q'". Including the line results in an empty image without the map.

Dataframe - df
The data is from Kaggle > https://www.kaggle.com/camnugent/california-housing-feature-engineering?select=cal_populations_county.csv

Code

I am working on a Choropleth map that will display the similarities between different states. So when you select a state from a dropdown, the map will show the similarity it has to other states.

For this, I am using 2 datasets:

• DatasetA: a long-form dataframe, with 3 columns: State 1, State 2, and the similarity between them.
• DatasetB: a GeoDataFrame that contains the geometry of each state.

When I try to plot this without the selection, then it works:

I'm looking to crop the density plot to only land while keeping to sf.

Here's a simple example problem:

I'm looking to create a masking polygon for multiple polygons.

It's easy enough for a single polygon:

How to apply a polygon mask layer in ggplot

but much trickier for multiple:

https://www.stat.auckland.ac.nz/~paul/Reports/GraphicsEngine/definitions/definitions.html

I feel like I'm fairly close but I need a method of drawing a line between a point for the closest polygon, i.e. I'd like to try and connect nearest islands with a line.

While also connecting those polygons to an outer polygon box but only with a single line:

I am using Angular based Storybook. All I wanted to do is to re-render the chart based on the values given in the Storybook's control. But the Chart remains static even after changing the value of the control. I tried so many workarounds, but still am at square one. The chart I wanted to display is a choropleth. I have used Chartjs and chartjs-chart-geo library to display the chart.

My component in Storybook :

Based on the stack trace, I can see that Altair only accepts the following projections -