# How to create a Radar Chart on Google Sheets in 3 screenshots

• Radar charts are a way to visualize multivariate data.
• Giving an axis for each variable, and these axes are arranged radially around a central point and spaced equally.
• The data from a single observation are plotted along each axis and connected to form a polygon. Multiple observations can be placed in a single chart by displaying multiple polygons, overlaying them, and reducing the opacity of each polygon.

# How to create a Radar Chart on Python in 3 screenshots

• Radar charts are a way to visualize multivariate data.
• Giving an axis for each variable, and these axes are arranged radially around a central point and spaced equally.
• The data from a single observation are plotted along each axis and connected to form a polygon. Multiple observations can be placed…

# How to create a Radar Chart on Excel in 3 screenshots

• Radar charts are a way to visualize multivariate data.
• Giving an axis for each variable, and these axes are arranged radially around a central point and spaced equally.
• The data from a single observation are plotted along each axis and connected to form a polygon. Multiple observations can be placed in a single chart by displaying multiple polygons, overlaying them and reducing the opacity of each polygon.

# How to create an Area Chart on Data Studio in 3 screenshots

• Showing the rise and fall of various data series over time.
• Conveying total amounts over time as well as some sub-categorical breakdowns (but only to a point).
• Emphasizing a part-to-whole relationship over time when one part is very large, or changes from being very large to very small.
• Showing change over time.

# How to create an Area Chart on Python in 3 screenshots

• Showing the rise and fall of various data series over time.
• Conveying total amounts over time as well as some sub-categorical breakdowns (but only to a point).
• Emphasizing a part-to-whole relationship over time when one part is very large, or changes from being very large to very small.
• Showing change…

# How to create an Area Chart on Google Sheets in 3 screenshots

• Showing the rise and fall of various data series over time.
• Conveying total amounts over time as well as some sub-categorical breakdowns (but only to a point).
• Emphasizing a part-to-whole relationship over time when one part is very large, or changes from being very large to very small.
• Showing change over time.

# How to create an Area Chart on Excel in 3 screenshots

• Showing the rise and fall of various data series over time.
• Conveying total amounts over time as well as some sub-categorical breakdowns (but only to a point).
• Emphasizing a part-to-whole relationship over time when one part is very large, or changes from being very large to very small.
• Showing change over time.

# How to create a Choropleth Map on Data Studio in 3 screenshots

• provides a way to visualize values over a geographical area, which can show variation or patterns across the displayed location.
• The data variable uses color progression to represent itself in each region of the map.

# How to create a Choropleth Map on Python in 3 screenshots

• provides a way to visualize values over a geographical area, which can show variation or patterns across the displayed location.
• The data variable uses color progression to represent itself in each region of the map.
`!pip install geopandas!pip install geoplotimport pandas as pdimport numpy as npimport matplotlib.pyplot as pltimport geopandasimport geoplot`
`# world data from geopandas# https://geopandas.org/index.htmlworld_data = geopandas.read_file(geopandas.datasets.get_path('naturalearth_lowres'))world_data.head()`

# How to create a Choropleth Map on Google Sheets in 3 screenshots

• provides a way to visualize values over a geographical area, which can show variation or patterns across the displayed location.
• The data variable uses color progression to represent itself in each region of the map.
• Typically, this can be a blending from one color to another, a single hue progression, transparent to opaque, light to dark, or an entire color spectrum.