Add missing data files for visualisations notebooks.

README.md

@@ -34,9 +34,9 @@
 * Week 1 [Intro to Python 1](Python-Jupyter/01-PythonIntroduction.ipynb)
 * Week 2 [Intro to Python 2](Python-Jupyter/02-PythonIntroduction.ipynb)
 * Week 3 [Python Modules](Python-Jupyter/03-PythonModules.ipynb)
-* Week 4 [Plotting with Matplotlib](Visualisation/04-PlottingMPL_Intro.ipynb)
+* Week 4 [Plotting with Matplotlib](Visualisation/Matplotlib-Intro.ipynb)
 * Week 5 [Intro to Pandas](Pandas-DataFrames/05-PandasWeather.ipynb)
-* Week 6 [Plotting with Seaborn](Visualisation/06_Seaborn.ipynb)
+* Week 6 [Plotting with Seaborn](Visualisation/Seaborn.ipynb)
 * Week 7 [Aggregating and Grouping Data](Pandas-DataFrames/07-AggregationGrouping.ipynb)
 * Week 8 [Merging and Joining Data](Pandas-DataFrames/Merging/MergeJoinIntro.ipynb)
 * Week 9 [Intro to Linear Regression](Machine-Learning/Supervised-Methods/Regression/03-IntroLinearRegression.ipynb)
@@ -55,7 +55,7 @@
 * Week 7 [Principal Component Analysis (PCA)](Machine-Learning/Unsupervised-Methods/Principal-Component-Analysis.ipynb)
 * Week 8 [K-Means Clustering](Machine-Learning/Unsupervised-Methods/K-Means-Clustering.ipynb)
 * Week 9 [Git](Project-Tools/Git/GIT-CLI-CORE.pdf)
-* Week 10 [Advanced Plotting](Visualisation/11-AdvancedPlotting.ipynb)
+* Week 10 [Advanced Plotting](Visualisation/AdvancedPlotting.ipynb)
 * Week 11 [Boosting](Machine-Learning/Ensemble-Methods/Boosting.ipynb)
 
 ### ADS2002

Visualisation/.gitignore

+my_figure.png
+msft.eps

Visualisation/Total doses.csv

+Date,Total doses,Doses per 100 people
+21/02/2021,20,0
+22/02/2021,1836,0
+23/02/2021,2787,0.01
+24/02/2021,6926,0.03
+25/02/2021,16622,0.06
+26/02/2021,23489,0.09
+27/02/2021,27627,0.11
+28/02/2021,29571,0.12
+01/03/2021,33702,0.13
+02/03/2021,41922,0.16
+03/03/2021,48565,0.19
+04/03/2021,61008,0.24
+05/03/2021,71000,0.28
+06/03/2021,76073,0.3
+07/03/2021,81000,0.32
+08/03/2021,86369,0.34
+09/03/2021,94908,0.37
+10/03/2021,106200,0.41
+11/03/2021,125000,0.49
+12/03/2021,135109,0.53
+13/03/2021,159638,0.62
+14/03/2021,162551,0.63
+15/03/2021,164781,0.64
+16/03/2021,178546,0.7
+17/03/2021,203557,0.79
+18/03/2021,226057,0.88
+19/03/2021,240754,0.94
+20/03/2021,253831,0.99
+21/03/2021,256782,1
+22/03/2021,281950,1.1
+23/03/2021,312225,1.22
+24/03/2021,358500,1.4
+25/03/2021,408410,1.59
+26/03/2021,460155,1.79
+27/03/2021,474128,1.85
+28/03/2021,507000,1.97
+29/03/2021,541761,2.11
+30/03/2021,597525,2.33
+31/03/2021,670351,2.61
+01/04/2021,744330,2.9
+02/04/2021,823613,3.21
+03/04/2021,828059,3.22
+04/04/2021,843182,3.28
+05/04/2021,844379,3.29
+06/04/2021,855294,3.33
+07/04/2021,920645,3.58
+08/04/2021,996456,3.88
+09/04/2021,1078004,4.2
+10/04/2021,1138866,4.43
+11/04/2021,1166583,4.54
+12/04/2021,1178302,4.59
+13/04/2021,1234681,4.81
+14/04/2021,1295672,5.04
+15/04/2021,1359305,5.29
+16/04/2021,1420577,5.53
+17/04/2021,1474537,5.74
+18/04/2021,1496608,5.83
+19/04/2021,1586252,6.18
+20/04/2021,1653286,6.44
+21/04/2021,1718107,6.69
+22/04/2021,1785698,6.95
+23/04/2021,1855601,7.22
+24/04/2021,1914047,7.45
+25/04/2021,1934087,7.53
+26/04/2021,1937485,7.54
+27/04/2021,1969337,7.67
+28/04/2021,2029544,7.9
+29/04/2021,2112285,8.22
+30/04/2021,2179544,8.49
+01/05/2021,2234844,8.7
+02/05/2021,2254074,8.78
+03/05/2021,2260615,8.8
+04/05/2021,2316969,9.02
+05/05/2021,2396314,9.33
+06/05/2021,2473529,9.63
+07/05/2021,2554531,9.94
+08/05/2021,2627725,10.23
+09/05/2021,2654338,10.33
+10/05/2021,2663221,10.37
+11/05/2021,2732249,10.64
\ No newline at end of file

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