Single Line Code - EDA(Exploratory Data Analysis)

EDA

Exploratory Data Analysis or EDA is an important step in inspecting data methodically. EDA is a process of investigating the datasets to discover patters or to find out their main characteristics, often with visual methods.

Performing EDA using single line code - 'D-Tale'.

• Install D-Tale Package dtale.PyPi .
• Copy the code 'pip install dtale'make sure to download latest version.
• Paste the code in Anaconda Prompt or any python Prompt and press enter.
  

In Juptyer Notebook (any python notebook) import seaborn and load dataset. Data sets like 'iris', 'titanic', 'Sample-Superstore' are complicated to analyse. Actions like 'plotting different charts', 'Network viewer', 'Predictive Power Sources', and 'Correlations' etc, Everything can be done without any coding.

                                                                                                                                                                        

Describe Data and code available for copying

All the basic statistical details like minimum value, maximum value, standard deviation(std), mean (or) average value, median etc, can be handled category wise.

Click on 'Code Export' to copy, paste the code

Each data which is analysed directly and it's code is placed in html according to the method. Code can be copy pasted on the notebook it even contains comments which makes it more user friendly. 

Plotting Chart's 

Depending upon the rows and columns or variables you selected it is much more easy to access all the type of chart's with couple of clicks

Correlations 

It display's correlation values and plots charts of the correlation values of different variables directly after selected.

Packages like dataprep, dataproc, dtale are used to speed up data science. These packages simplify the entire EDA process with minimal lines of code.