Jupyter Notebook provides a web-based interactive environment widely used for data analysis, prototyping, and documentation. Unlike traditional IDEs like VS Code or PyCharm, it allows code execution in discrete cells, supports rich text formatting via Markdown, and renders mathematical expressions u...
Prerequisites and Objectives This exercise requires the installation of the numpy, pandas, and matplotlib libraries. The primary goals are to perform operations on CSV files, conduct data analysis using pandas, and create visualizations with matplotlib. Generating Simulated Sales Data The following...
1. Load Data Efficiently with Pandas Pandas simplifies data ingestion from common formats like CSV: import pandas as pd df = pd.read_csv('dataset.csv') print(df.head()) The head() method offers a quick preview to verify successful loading. 2. Handle Missing Values Thoughtfully Missing data can disto...
This article focuses on advanced Pandas techniques, building upon foundational operations. Appending Data to Existing Excel Files To add new data to an existing Excel spreadsheet without overwriting it, follow these steps: Import Libraries: Ensure pandas is imported for data manipulation and Excel I...
Identifying Duplicate Entries in Excel Three methods to locate repeated data in a column: Conditional Formatting: Select the target column. Navigate to Home > Conditional Formatting > Highlight Cells Rules > Duplicate Values. Choose a foramtting style to visually mark duplicates. COUNTIF Fu...
This homework uses knowledge of Numpy, Matplotlib, and Pandas to process electricity consumption data from file data.csv for 200 users (IDs 1-200). The dataset includes columns: CONS_NO (user ID), DATA_DATE (date, e.g., 2015/1/1), and KWH (electricity consumption). Tasks are as follows: Transpose da...
Overview This document outlines a forecasting solution that provides an HTTP-based API for predicting future values based on input arrays. # Example input 1,2,3,4,5 output 6,7,8 # Example input 2,4,6,8,10 output 12,14,16,18 The API requires a payment of 0.1 cent per call (a small contribution to sup...
The objective is to compute the completion rate for each video that had play activity in 2021, rounded to three decimal places, and order the results in descending order. The completion rate is defined as the proportion of plays where the viewing duration was greater than or equal to the video's len...
Pandas built-in plotting utilities wrap Matplotlib functionality to enable one-line visualization directly from Series and DataFrame objects, eliminating redundant boilerplate code for common chart types. Core Plot Types Line Charts Line chart are ideal for visualizing trends in sequential or time-s...
Flight ticket prices are influenced by multiple factors, including airline, route, number of stops, departure and arrival times, flight duration, and booking time. By analyzing these elements, airlines can optimize pricing strategies to enhance competitiveness, while passengers can benefit from pric...