Data visualization is the part of data analysis. Data analysis is inspecting, cleaning, modelling, etc. to collect meaningful and useful information or conclusions. In this process, we need to do data collection, cleaning, preprocessing, modelling, hypothesis, visualization, etc. In this process, we use various tools for data analysis and visualization. The main tools or more specifically wide range of uses are
SQL
SQL is a language which is used in RDBMS, relational database management systems for extracting and communicating data. It is for managing, querying, and manipulating the databases. In this case mainly uses DQL, DDL, and DML. DQL for retrieving data from datasets. SELECT statement for specify and WHERE clause to filter. DML for manipulating operations including INSERT, UPDATE and DELETE. DDL for definitions such as CREATE, ALTER, and DROP.
MySQL, PostgreSQL, OracleSQL Server, etc. are the RDMS. where we apply SQL to process data analysis.
Excel
It is a spreadsheet software developed by Microsoft. It is used for data analysis, reporting and numeric calculations with some visualization. Grid-based interfaces have different formulas and functions. Built-in functions for common tasks like numerical, statistical, mathematical and time calculations. It can connect external data sources as well as online services with advanced features and programming with VBA.
Microsoft Excel is used in a wide range of industries for tasks such as financial analysis, budgeting, data tracking, project management, and reporting. It is an essential tool for professionals in finance, accounting, marketing, and many other fields.
Google sheet
Just like Excel google sheet is the product of Google. Same as Microsoft Excel but has some fundamentals, programming, and feature-based differences.
Python
We have already published a blog related to Python libraries. In data analysis, python is a widely used programming language. Similarly, huge library-based language is why effective for data analysis. The same processes like data cleaning, data preprocessing, data wrangling, etc. have to do. Libraries are the main part of doing analysis or visualization.
NumPy, Pandas, Scipy, Statsmodels, Scikit-learn, etc. are popular libraries. These libraries we use to do data analysis through Python programming language.
Similarly, for data visualization, we use Matplotlib, seaborn, plotly, Folium etc.
Python is a very flexible and widely used language like Anaconda, collab, etc. IDE is a widely used tool among the tools for data analysis and visualization.
Power BI, Tableau and Looker studio
| Power BI | Tableau | Looker studio |
| Developed by Microsoft | Developed by Chris Stolte, Pat Hanrahan, and Christian Chabot developed and patented Tableau’s foundational technology, VizQL | Developed by Google |
| allows users to connect to a wide range of data sources, including databases, cloud services, spreadsheets, and web services. It supports both on-premises and cloud data sources. | supports connectivity to a wide range of data sources, including databases, cloud services, spreadsheets, and web data connectors. It offers native connectors to popular data platforms. | It allows data sources like databases, data warehouses, and cloud storage, |
| Create relationships between tables, define hierarchies and add calculated columns and measures | cleansing, shaping, and transformation including many features | Looker’s data modelling layer, LookML, enables users to define data models, transformations, and business logic. This abstraction layer simplifies complex SQL queries and makes data exploration user-friendly. |
| Various formatting options with charts, graphs, maps, tables, KPI indicators with interactive dashboards | Rich set of visualization like bar plots, and scatter plots with highly interactive dashboards with filtering, clicking, highlighting, etc. | Dragging and dropping elements like charts, tables, and filters with a customizable dashboard, Ad Hoc analysis(pre-built report) with built-in visualization options |
| DAX formula for modelling and calculations supports natural language queries | Don’t have | Drag and drop |
| Integrate with Microsoft products easily with mobile app and premium version | Integrate with internal and external with the online public version is there to do the basic job | Integrate with Google products easily and real-time data support also there with a mobile access facility |
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