differences for PR #591

07-visualization-ggplot-python.md

@@ -232,7 +232,7 @@ to the color aesthetic:
 )
 ```
 
-![](fig/06_color_plot.png){alt='scatter plot of Hindfoot length vs weight with colors coordinating to specfic species, showing abundance in the mid to lower left side of the plot'}
+![](fig/06_color_plot.png){alt='scatter plot of Hindfoot length vs weight with colors coordinating to specific species, showing abundance in the mid to lower left side of the plot'}
 
 Apart from the adaptations of the arguments and settings of the `data`, `aes`
 and `geom-*` elements, additional elements can be added as well, using the `+`
@@ -248,7 +248,7 @@ operator:
 )
 ```
 
-![](fig/06_color_label_plot.png){alt='scatter plot of Hindfoot length vs weight (g) with colors coordinating to specfic species, showing abundance in the mid to lower left side of the plot'}
+![](fig/06_color_label_plot.png){alt='scatter plot of Hindfoot length vs weight (g) with colors coordinating to specific species, showing abundance in the mid to lower left side of the plot'}
 
 - Defining scale for colors, axes,... For example, a log-version of the x-axis
   could support the interpretation of the lower numbers:
@@ -387,7 +387,7 @@ mapping of a variable, `plotnine` will handle the values as category values.
 
 ## Plotting time series data
 
-Let's calculate number of counts per year for each species. To do that we need
+Let's calculate the number of counts per year for each species. To do that we need
 to group data first and count the species (`species_id`) within each group.
 
 ```python
@@ -567,7 +567,7 @@ following example of a bar plot with the counts per year.
 )
 ```
 
-![](fig/06_overlap_bars.png){alt='Bar graph of count per year showing ovelapping x-axis labels'}
+![](fig/06_overlap_bars.png){alt='Bar graph of count per year showing overlapping x-axis labels'}
 
 Notice that we use the `year` here as a categorical variable by using the
 `factor` functionality. However, by doing so, we have the individual year

md5sum.txt

@@ -11,7 +11,7 @@
 "episodes/04-data-types-and-format.md" "e57b9b771e5d2dcf4c9e2521822f8d5a" "site/built/04-data-types-and-format.md" "2023-06-05"
 "episodes/05-merging-data.md" "5e0cb1f86b8cb29a87d57b8eaee9acf5" "site/built/05-merging-data.md" "2024-02-05"
 "episodes/06-loops-and-functions.md" "d41f11e6c162c86393cd9bd4431c0687" "site/built/06-loops-and-functions.md" "2023-05-18"
-"episodes/07-visualization-ggplot-python.md" "814b6fc361595a0c9ea7db393b1424db" "site/built/07-visualization-ggplot-python.md" "2023-05-19"
+"episodes/07-visualization-ggplot-python.md" "90c47e103def226935f90723ae361b1f" "site/built/07-visualization-ggplot-python.md" "2024-02-21"
 "episodes/08-putting-it-all-together.md" "b279a4ab47789abda7f71609a78022ed" "site/built/08-putting-it-all-together.md" "2024-01-31"
 "episodes/09-working-with-sql.md" "e27af594f7ae68613dbaae8240493770" "site/built/09-working-with-sql.md" "2023-05-18"
 "instructors/CONTRIBUTORS.md" "71ca6d2e0d81004775e42ce90cd6a298" "site/built/CONTRIBUTORS.md" "2023-05-08"