When working with datasets, data is typically categorized into different types based on its characteristics and usage. Here are the main types of data found in a dataset: 1. Based on Nature of Data a. Quantitative (Numerical) Data b. Qualitative (Categorical) Data 2. Based on Role in Analysis a. Independent Variables b. Dependent Variables c. …
Answer:While both Power BI and Tableau are powerful business intelligence tools, they differ in several aspects: When to Choose Which:
Here is a sample dataset of 50 rows for a Gantt Chart visualization with the specified fields: Category Legend Start End Data Label KPI Consumer Medium Priority 2024-01-22 2024-01-31 Order #1 (India) 91.76 Corporate Medium Priority 2024-01-31 2024-02-01 Order #2 (India) 84.47 Small Business Low Priority 2024-01-02 2024-01-04 Order #3 (India) 80.13 Small Business Low …
The top 5 programming languages in the world, based on factors like popularity, demand, and versatility in 2024
Job Title Avg. Base Salary in India Avg. Base Salary in US Data Scientist ₹8,64,729/- $97294 Data Architect ₹20,40,312/- $1,23347 Data Analyst ₹4,63,202/- $62838 Data Engineer ₹8,65,518/- $93272 Machine Learning Engineer ₹7,23,386/- $112513 Business Intelligence (BI) Developer ₹5,98,580/- $82448 Database Administrator ₹5,09,032/- $74451
Data Cleaning Data Wrangling Definition: Data cleaning specifically focuses on identifying and correcting errors or inaccuracies in the dataset.Tasks: Involves handling missing values, correcting typos, standardizing formats, and removing duplicates to ensure data accuracy.Goal: Improve data quality by eliminating errors, inconsistencies, or outliers that could impact the validity of analysis or machine learning models.Methods: Encompasses …
Data wrangling, data cleansing, and data mining are all important processes involved in working with data. Overall, data wrangling, data cleansing, and data mining are all critical processes in the data analysis pipeline, helping to ensure that data is accurate, complete, and meaningful.
What is Python Pandas Pandas is a module or package created for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. Python Pandas can be used to connect to any type of structured datasets like Excel, CSV, JSON, HTML, SQL …
Pandas Introduction and Installation – Python Pandas Tutorial Part 1 Read More »
Data science is a hot topic now. The more data we collect, the more it becomes important to be able to analyze these datasets and extract insights from them. You can understand the concept of data science with the help of data science block diagram given above. Data Science as a field is as old …
What is Data Science – Importance of Data Science Read More »
Sample Code Files for Project of Exploratory Data Analysis of Corona Virus Dataset using Python Pandas recovered = pd.read_csv(‘https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_19-covid-Recovered.csv’) confirmed = pd.read_csv(‘https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_19-covid-Confirmed.csv’) deaths = pd.read_csv(‘https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_19-covid-Deaths.csv’)
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