A scatter plot is a type of data visualization that uses dots to represent the values of two variables. It is particularly useful for identifying correlations and patterns between variables.

Data visualization is primarily used to communicate insights and findings from data analysis to stakeholders in a clear and concise manner.

A histogram is a type of data visualization that represents the distribution of data by dividing it into bins and displaying the frequency of data points in each bin.

The choice of data visualization technique should primarily consider the audience for the visualization, as different audiences may have different preferences and levels of understanding.

A pie chart is a type of data visualization that represents the composition of a dataset by dividing it into sectors, where each sector represents a category and its size corresponds to its proportion in the dataset.

Interactive data visualizations allow users to interact with the data by filtering, sorting, and drilling down, enabling them to explore the data in more detail and gain deeper insights.

A line chart is a type of data visualization that displays data points connected by lines, making it useful for visualizing trends and patterns over time.

Choosing the right visualization technique is crucial in effectively communicating insights from data, as different techniques are suitable for different types of data and audiences.

A heat map is a type of data visualization that represents the relationship between multiple variables by using colors to indicate the strength of the relationship.

Data visualization in a startup aims to communicate insights and findings from data analysis to stakeholders in a clear and concise manner, facilitating decision-making and strategic planning.

A bar chart is a type of data visualization that represents the distribution of data across different categories, using bars to indicate the frequency or magnitude of each category.

When choosing a color palette for data visualization, it is important to consider the audience for the visualization, as different audiences may have different preferences and levels of color perception.

A line chart is a type of data visualization that displays the relationship between two variables over time, using lines to connect data points.

Data visualization in a startup aims to communicate insights and findings from data analysis to stakeholders in a clear and concise manner, facilitating decision-making and strategic planning.

A choropleth map is a type of data visualization that represents the distribution of data across different geographic regions, using colors to indicate the value of the data in each region.