3.4 updates - language needs refined still ...

coursebook/modules/m3/3.4-StoryTelling.ipynb

@@ -35,17 +35,17 @@
     "packages!) to tell many stories using a single chart, **it is easy to\n",
     "overload your audience with information**. Every addition to a figure\n",
     "increases the required mental effort of your audience. Too much\n",
-    "information is discombobulating - the reader does not know what to focus\n",
-    "on and your figure is diminished. Aim for *ink parsimony*, be careful to\n",
+    "information is confusing - the reader does not know what to focus\n",
+    "on, and your figure is diminished. Aim for *ink parsimony*, be careful to\n",
     "**include only the visual elements that increase understanding**, and\n",
     "embrace white space. Remember you are competing for the viewer’s time\n",
     "and attention!\n",
     "\n",
-    "Having said all this, sometimes a single static visualization is not\n",
+    "Having said all this, sometimes a single static visualisation is not\n",
     "enough to tell an entire story. You may want to design a sequence of\n",
     "simple figures that jointly create a convincing story arc. When\n",
     "connecting a story over multiple figures consider using different types\n",
-    "of visualization for each distinct analysis to help the reader’s focus.\n",
+    "of visualisation for each distinct analysis to help the reader’s focus.\n",
     "Furthermore, keep semantic indicators (such as colour scheme) consistent\n",
     "across figures. If you have many similar types of analysis an\n",
     "alternative is to use interactive figures and animations that enable the\n",
@@ -85,7 +85,7 @@
     "Without any visual cues, when we’re confronted with a block of text our\n",
     "only option is to read it.\n",
     "\n",
-    "We can employ preattentive attributes to create a visual hierarchy in\n",
+    "We can employ preattentive (subconscious processing) attributes to create a visual hierarchy in\n",
     "our communications. These attributes can be colour, contrast, font,\n",
     "size, etc.\n",
     "\n",
@@ -106,7 +106,7 @@
     "```` {margin}\n",
     "```{admonition} Tufte\n",
     ":class: dropdown\n",
-    "Best practices used in data visualisation, story-telling and information design are highly influcenced by the renowed statistical graphics expert Edward Tufte. An excellent visualization, according to Tufte, expresses “complex ideas communicated with clarity, precision and efficiency.” In 1980s, Tufte proposed a metric for measuring the amount of superfluous information included in a chart. He called it the data-ink ratio,  saying “the larger the share of a graphic’s ink devoted to data, the better.” \n",
+    "Best practices used in data visualisation, story-telling and information design are highly influenced by the renowned statistical graphics expert Edward Tufte. An excellent visualization, according to Tufte, expresses “complex ideas communicated with clarity, precision and efficiency.” In 1980s, Tufte proposed a metric for measuring the amount of superfluous information included in a chart. He called it the data-ink ratio,  saying “the larger the share of a graphic’s ink devoted to data, the better.” \n",
     "```\n",
     "````\n",
     "\n",
@@ -148,7 +148,7 @@
     "violence in the US. The first figure is a typical bar chart from the\n",
     "Washington Post showing a bar chart with the number of active shooter\n",
     "incidents annually. The second figure comes from Periscope, a design\n",
-    "firm with the tagline “Do good with data”, that took a different\n",
+    "firm with the tag line “Do good with data”, that took a different\n",
     "approach. Quoting the Data Feminism book (D’Ignazio and Klein, 2020):\n",
     "\n",
     "> “… what makes Periscopic’s visualization so very different from a more\n",
@@ -188,7 +188,7 @@
     "Diagnosis in the New York City Jail Mental Health Service.” This study\n",
     "looked at the medical records of tens of thousands of first-time\n",
     "incarcerated people and finds that some groups (white people) are more\n",
-    "likely to receive treatment, while others (Black and latinos) are more\n",
+    "likely to receive treatment, while others (Black and Latinos) are more\n",
     "likely to receive punishment such as solitary confinement.\n",
     "\n",
     "The figures below shows two examples of how varying the titles can frame\n",
@@ -220,11 +220,9 @@
     "\n",
     "# References\n",
     "\n",
-    "[Fundamentals of data visualisation by Claus O’\n",
-    "Wilke](https://clauswilke.com/dataviz/)\n",
+    "[Fundamentals of data visualisation by Claus O’Wilke](https://clauswilke.com/dataviz/)\n",
     "\n",
-    "[Storytelling with\n",
-    "data](http://www.bdbanalytics.ir/media/1123/storytelling-with-data-cole-nussbaumer-knaflic.pdf)\n",
+    "[Storytelling with data](http://www.bdbanalytics.ir/media/1123/storytelling-with-data-cole-nussbaumer-knaflic.pdf)\n",
     "\n",
     "[chart-dos-and-donts](https://www.eea.europa.eu/data-and-maps/daviz/learn-more/chart-dos-and-donts/#message)\n",
     "\n",