This project demonstrated proficiency in applying different Analytical techniques by Analyzing Job Dataset, creating
Visualizations & interactive Dashboards, and Presenting Report to share findings of Data Analysis.
Data Set
Data Collection
- Our primary data source is internet. Collect our data through under open database license. Data Collection
Data Analysis
- Include cleaning process. Removing duplicates, addressing missing values, and standardizing data formats to ensure consistency and accuracy. Data Wrangling
- Initial data analysis involved descriptive statistics, summarizing key characteristics. Employed statistical analysis techniques such as correlation analysis. Exploratory Data Analysis
Trend Identification and Classification
- Technology trends were categorized based on their primary domains, such as top languages, databases, platforms,web frameworks.
- JavaScript And Python Are the Most Used Languages In Future
- NoSQL Databases Like Mongo dB, Elasticsearch Are Also Highly Used in Future
- There Are No Difference in Platform Used In Current And Future Trends
- JavaScript Based Webframworks Like Reactjs, Angularjs Are Mostly Used in Future
- Most Of Our Respondents Are Man and Most of Them Are From United States
- Most Of Our Respondents Are Between 23 And 31 Years Old
- Most Of Our Respondents Holds a Bachelor’s Degree
- The findings of this analysis offer valuable insights into the trends shaping the technological landscape in programming language, databases, platforms, web frameworks sectors.
- the most used languages in future are changes with current using languages. new languages are trending in future and some of the languages are not likely using in future.
- the most used databases in future are changes with current using databases. new databases are trending in future and some of the databases are not likely using in future.
- there is no difference in platform used in current and future trends and JavaScript based webframworks like reactjs, angularjs are mostly used in future
- Most of our respondents are man.
- The overrepresentation of men among respondents may lead to gender-biased insights in your analysis.
- Most of them are from united states
- Given that a significant portion of your respondents are from the United States, your findings may be particularly relevant to this region.
- Most of our respondents are between 23 and 31 years old .
- The concentration of respondents between the ages of 23 and 31 suggests that your findings may be more reflective of the preferences and behaviors of this age group.
- Most of our respondents holds a bachelor’s degree.
- The prevalence of respondents holding bachelor's degrees indicates a higher level of education among your sample.
- Embracing JavaScript and python, exploring NoSQL database solutions, maintaining platform consistency, and leveraging JavaScript-based web frameworks are essential steps for remaining competitive in the evolving tech landscape.
- additionally, addressing demographic biases in future research efforts will ensure more comprehensive and representative insights for informed decision-making. Ultimately, staying attuned to these trends and demographic profiles is vital for success in the dynamic world of technology