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Updated plots based on Erwan's suggestion

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edited Aug 13, 2021 at 18:41

I'm plotting a dataset with a trendline, but using ols vs lowess gives me significantly different line shapes. I'm sure this is an expected and perfectly normal result, but I'm afraid I don't understand the significance of the difference. Could someone explain what's going on? Here's my code using ols:

fig = px.scatter(df_small, y="Ratio",
                 trendline="ols", 
                 trendline_color_override="red", 
                 log_x=True)
fig.show()

And here's the plot it produced:

Using lowess gave me this plot:

For For context, my dataset represents the ratio of daily Covid deaths:new infections in the Province of Ontario over the previous 18 months.

fig = px.scatter(df_small, y="Ratio",
                 trendline="ols", 
                 trendline_color_override="red", 
                 log_x=True)
fig.show()

And here's the plot it produced:

Using lowess gave me this plot:

For context, my dataset represents the ratio of daily Covid deaths:new infections in the Province of Ontario over the previous 18 months.

fig = px.scatter(df_small, y="Ratio",
                 trendline="ols", 
                 trendline_color_override="red")
fig.show()

And here's the plot it produced:

Using lowess gave me this plot: For context, my dataset represents the ratio of daily Covid deaths:new infections in the Province of Ontario over the previous 18 months.

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asked Aug 13, 2021 at 1:10

dlanced

Plotly: what's the difference between ols and lowess trendlines

fig = px.scatter(df_small, y="Ratio",
                 trendline="ols", 
                 trendline_color_override="red", 
                 log_x=True)
fig.show()

And here's the plot it produced:

Using lowess gave me this plot:

For context, my dataset represents the ratio of daily Covid deaths:new infections in the Province of Ontario over the previous 18 months.

plotly