Import the Pandas library for data manipulation. Import the NumPy library for generating random data. Create a sample DataFrame: Set a seed for reproducibility using np.random.seed(0). Create a dictionary data with columns of mixed data types: integers, floats, categories, and objects. Ge...
🛠️ Tools and Libraries: The following tools and libraries were used to complete this analysis: Python: 🐍 Programming language used for data analysis. Pandas: 🐼 For data manipulation and analysis. NumPy: 🔢 For numerical computations. Plotly: 📊 For creating interactive visualizations.Ab...
Uber_Rides_Data_Analysis_Documentation_and_Recommendations.docx: A document containing detailed documentation of the analysis steps and recommendations based on the analysis. Analysis Steps Importing Libraries: Used pandas for data manipulation, numpy for numerical operations, matplotlib.pyplot and seaborn fo...
PandasDatetimeIndex() takes multiple parameters, below is theSyntax of the DatetimeIndex(). Let’s take a look at the parameters of the DatetimeIndex by examples. # Syntax of DatetimeIndex()pandas.DatetimeIndex(data=None,freq=_NoDefault.no_default,tz=None,normalize=False,closed=None,ambiguous='rai...
import pandas as pd data = pd.read_csv("data.csv") def explore_data(filters): Filter and visualize data based on user selections return visualization interface = Interface(explore_data, inputs="complex", outputs="html") interface.launch() ...