Merge pull request #19 from foerster-finsternis/day2.4_slides

day2.4 - add slides, fix typo
ScaDS · May 8, 2024 · 45f167c · 45f167c
2 parents f2f3322 + 4782e47
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diff --git a/day2.4_tabular_data_wrangling/01_introduction_dataframes.ipynb b/day2.4_tabular_data_wrangling/01_introduction_dataframes.ipynb
@@ -10,7 +10,8 @@
    "source": [
     "# Introduction to working with DataFrames\n",
     "\n",
-    "In basic Python, we often use dictionaries containing data as vectors, like our measurements. While these basic structures are handy for collecting data, they are suboptimal for advanced data processing. For that, we introduce [pandas](https://pandas.pydata.org/), one of the primary tools in the Python Data Science ecosystem for handling data. Pandas' primary object, the \"DataFrame\", is a 2-dimensional labeled data structure with columns of different data types, and is extremely useful in wrangling data. \n",
+    "In basic Python, we often use dictionaries containing data as vectors, like our measurements. While these basic structures are convenient\n",
+    " for collecting data, they are suboptimal for advanced data processing. For that, we introduce [pandas](https://pandas.pydata.org/), one of the primary tools in the Python Data Science ecosystem for handling data. Pandas' primary object, the \"DataFrame\", is a 2-dimensional labeled data structure with columns of different data types, and is extremely useful in wrangling data. \n",
     "\n",
     "See also:\n",
     "* [DataFrame - API reference](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html)\n",

diff --git a/day2.4_tabular_data_wrangling/06_tidy_data.ipynb b/day2.4_tabular_data_wrangling/06_tidy_data.ipynb
@@ -13,7 +13,7 @@
     "\n",
     "This is less pretty to visualize as a table, but we rarely look at data in tables. Indeed, the representation of data which is convenient for visualization is different from that which is convenient for analysis. A tidy data frame is almost always much easier to work with than non-tidy formats.\n",
     "\n",
-    "Let's import a prepared table with measurements nad have a closer look. Is this table tidy?"
+    "Let's import a prepared table with measurements and have a closer look. Is this table tidy?"
    ],
    "id": "280458fefd76e886"
   },

diff --git a/day2.4_tabular_data_wrangling/BIDS_Tabular-Data-Wrangling.pdf b/day2.4_tabular_data_wrangling/BIDS_Tabular-Data-Wrangling.pdf