Add report notes

report.md

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+Despite high values of distinction (66.48%) and separation (99.99%) the `fnlwgt` column is not a QID becuase it represents a weight, not a
+count of individuals in the same equivalence class in the original dataset. Additionally, it's not easily connected to
+another auxiliary info dataset.
+
+We determined that `age` is a QID, since it's widely regarded as such, in all datasets, according to HIPPA recommendations.
+
+We noted this dataset contains more males than females.
+
+Higer Precision (Generation Intensity) implies the attributes are closer to the ones in the original dataset, therefore
+provide higher utility.
+
+We noted that the contingency between `sex` and `relationship` maintained the same distribution after anonymization,
+meaning that these changes don't mean `relationship` can identify an individual's `sex` any more than in the original dataset.
+
+We exported the anonymized dataset and used the following command to verify there weren't any discrepencies between the
+`education` and `education-num` columns:
+
+```bash
+cat anonymized.csv | sed -r 's/,([^ ])/\t\1/g' | cut -d'  ' -f4,5 | sort -u
+```
+
+
+/projects/uni/DataAnonymisation/ (master)$ cat adult_data.csv | tail -n +2 | sed -r 's/,([^ ])/\t\1/g' | cut -d',' -f8,10 | sort | uniq -c | sort -n
+      1  Husband, Female
+      2  Wife, Male
+    430  Other-relative, Female
+    551  Other-relative, Male
+    792  Unmarried, Male
+   1566  Wife, Female
+   2245  Own-child, Female
+   2654  Unmarried, Female
+   2823  Own-child, Male
+   3875  Not-in-family, Female
+   4430  Not-in-family, Male
+  13192  Husband, Male
+~/projects/uni/DataAnonymisation/ (master)$ cat anonymized.csv | tail -n +2 | sed -r 's/,([^ ])/\t\1/g' | cut -d'       ' -f8,10 | sort | uniq -c | sort -n
+      1 Husband	Female
+      2 Wife	Male
+    168 Other-relative	*
+    336 Own-child	*
+    342 Other-relative	Female
+    471 Other-relative	Male
+    552 Wife	*
+    573 Unmarried	Male
+    728 Unmarried	*
+   1014 Wife	Female
+   1649 Not-in-family	*
+   2042 Husband	*
+   2081 Own-child	Female
+   2145 Unmarried	Female
+   2651 Own-child	Male
+   3209 Not-in-family	Female
+   3447 Not-in-family	Male
+  11150 Husband	Male
+
+
+
+
+
+