Kasia RachutaBoxplots in PythonIn this example, I am going to use a dataset from Kaggle on house sales in King County, USA (URL…Sep 4, 2016Sep 4, 2016
Kasia RachutaHistograms in PythonIn this example, I am going to use a dataset from Kaggle on house sales in King County, USA (URL…Aug 29, 20162Aug 29, 20162
Kasia RachutaReading and writingExcel files in Python pandasIn data science, you are very likely to mostly work with CSV files. However, knowing how to import and export Excel files is also very…May 31, 20165May 31, 20165
Kasia RachutaImporting and exporting CSV files in PythonWhen doing data science in Python, you may be asked to analyse the data that’s in CSV or Excel file. You need to be able to read this file…May 27, 20161May 27, 20161
Kasia RachutaBasic statistics in pandas DataFrameOnce you have cleaned your data, you probably want to run some basic statistics and calculations on your pandas DataFrame. It is really…May 19, 20162May 19, 20162
Kasia RachutaRe-ordering columns and rowsSometimes you need to re-order the columns and rows in your pandas DataFrame. In this example, you can see a DataFrame with days of the…May 11, 2016May 11, 2016
Kasia RachutaChoosing columns in pandas DataFrameSometimes, you have a lot of columns in your DataFrame and want to use only some of them.May 3, 20161May 3, 20161
Kasia RachutaDealing with missing values in pandasIn pandas, the missing values will show up as NaN. It’s really easy to drop them or replace them with a different value.Apr 26, 20161Apr 26, 20161
Kasia RachutaDealing with duplicates in pandas DataFrameSometimes, you get a messy dataset. For example, you may have to deal with duplicates, which will skew your analaysis.Apr 20, 20165Apr 20, 20165
Kasia RachutaExploring your pandas DataFrameI’m going to start with telling you about first few useful commands that allow you to explore your data and see what you have in it. I use…Apr 17, 2016Apr 17, 2016