diff --git a/02_plotting/intro.html b/02_plotting/intro.html index 36a3ee6..3d035cf 100644 --- a/02_plotting/intro.html +++ b/02_plotting/intro.html @@ -411,7 +411,7 @@

Plotting Data with Python -
  • [Preparing Visuals of Data Analysis DV](./Preparing Visuals of Data Analysis DV.pdf)

  • +
  • Preparing Visuals of Data Analysis DV

  • Plotting

  • diff --git a/_downloads/c2f02196c4ee04184eb359b9e5ef82f8/Preparing_Visuals_of_Data_Analysis_DV.pdf b/_downloads/c2f02196c4ee04184eb359b9e5ef82f8/Preparing_Visuals_of_Data_Analysis_DV.pdf new file mode 100644 index 0000000..51374db Binary files /dev/null and b/_downloads/c2f02196c4ee04184eb359b9e5ef82f8/Preparing_Visuals_of_Data_Analysis_DV.pdf differ diff --git a/_sources/02_plotting/intro.md b/_sources/02_plotting/intro.md index 7a34203..743e8e7 100644 --- a/_sources/02_plotting/intro.md +++ b/_sources/02_plotting/intro.md @@ -7,5 +7,5 @@ We then look at sophisticated and stylish plots straight from pandas dataframes. Finally, you will employ all the tools learned during the previous sections to work on a complete image analysis workflow, from reading raw images, through image processing and feature extraction, to displaying your data analysis results in figures. We will use these two presentations: - * [Preparing Visuals of Data Analysis DV](./Preparing Visuals of Data Analysis DV.pdf) + * [Preparing Visuals of Data Analysis DV](./Preparing_Visuals_of_Data_Analysis_DV.pdf) * [Plotting](./Plotting.pdf) diff --git a/searchindex.js b/searchindex.js index d7ee9f5..5c9397b 100644 --- a/searchindex.js +++ b/searchindex.js @@ -1 +1 @@ -Search.setIndex({"docnames": ["00_python/00_Python_prez", "00_python/00_python_intro", "00_python/01_Python_Basics", "01_pandas_statistics/00_Pandas", "01_pandas_statistics/01_Pandas_Intro", "01_pandas_statistics/02_Pandas_operations", "01_pandas_statistics/03_Pandas_EDA", "01_pandas_statistics/04_Pandas_Bonus", "01_pandas_statistics/05_Statistic", "01_pandas_statistics/intro", "02_plotting/00_Intro_matplotlib", "02_plotting/01_Introduction_to_Seaborn", "02_plotting/02_Using_Seaborn", "02_plotting/03_Statistic_Annotations_in_Seaborn_Bonus", "02_plotting/intro", "content", "intro", "markdown", "markdown-notebooks", 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