WHAT IS DATA SCIENCE?
Data science is the concept in which a data set is represented visually. To represent data visually means to present it in the form of graphs, charts, maps, etc. data science is used to present a huge amount of data. Data science is being used by many companies and organizations. There are different tools or applications available in the market which are specifically used for visual data representation. When data is presented visually, it becomes easy to recognize the possible patterns within. We see all the things in a visual form in our daily life. The visualization of data makes it more understandable. For example, there is data that has information about people living in a particular area. The number of people living there changes every year. This data set has information about people as well as the year. This survey data won’t be clear if we write it as regular information. But if we present this data in the form of a bar graph, the same data becomes easier to understand. Click here to know more about the data science course. Click here to know more about data science course
SELECTION OF THE RIGHT CHART
There are different types of charts in statistics that can be selected based on the data being processed. A chart can be presented in many ways. Here are some of them:
- Composition
- Relationship
- Comparison
- Distribution
TYPES OF CHARTS
Here are different types of the chart:
- Histogram
- Box plot
- Heat map
- Scatter plot
- Bar chart
- Stack bar chart
- Area chart
- Correlogram
WHEN SHOULD WE USE SCATTER PLOT?
The scatter plots are used when the data has continuous variables. Continuous variables are those variables that satisfy all the values of a given interval.
WHEN SHOULD WE USE BAR AND STACK BAR CHART?
The bar chart and stacked bar charts are appropriate for data that has non-continuous or categorical variables.
WHEN SHOULD WE USE BOX PLOT?
Box plot charts are appropriate for data that we want to present as a combination of the categorical variables.
TYPES OF VISUALIZATION
Here are the different ways in which data can be presented visually:
- Tables
- Maps
- Dashboards
- Charts
- Graphs
- Infographics
ADVANTAGES OF DATA SCIENCE
Here are some advantages of data science:
- In data science, the data is presented visually by the machines. This increases the speed at which data is processed since the human brain can understand visual data more rapidly than handwritten data.
- With the help of data science, the user can easily find a relationship between the operations performed on the data and the output of that data.
- With the help of data science, companies and organizations can easily track and notice shifts in the market, what is trending in the market, etc.
- Data science is widely used in machine learning technology. Machine learning technology is currently being used by all big companies. This proves that machine learning technology has grown in importance as has data science.
CONCLUSION
As mentioned above, data science plays an important role in machine learning technology. Those who are interested in learning data science with R can enroll themselves here for Machine learning courses.
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Address: 360DigiTMG – Data Science, IR 4.0, AI, Machine Learning Training in Malaysia
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