# data[].attributes.body
The information that is gathered should be prepared or coordinated for investigation. This incorporates organizing the information as needed for the applicable Analysis Tools. Tabulation is a systematic and logical representation of numeric data in rows and columns to facilitate comparison and statistical analysis. All in all, the technique for putting coordinated information into an even structure is known as tabulation. It very well might be complex, double, or simple, contingent on the idea of arrangement. Tabulation should interpret precisely the reaction of the respondent. On account of open questions, the tabulation process is substantially more perplexing since the analyst can discover with however many answers as respondents have, so the measurable cycle is complicated.

Classification is qualitative or quantitative. Quantitative information are utilized when a specialist is attempting to measure an issue, or address the "what" or "the number of" parts of an exploration question. This information are normally assembled utilizing instruments, for example, a poll which incorporates an appraisals scale or a thermometer to gather climate information. Qualitative information depicts characteristics or attributes. It is gathered utilizing polls, meetings, or perception, and oftentimes shows up in account structure. The information might be as distinct words that can be inspected for examples or which means, now and then using coding. Coding permits the analyst to classify subjective information to distinguish topics that compare with the examination questions and to perform quantitative investigation.

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Processed and organized data may be incomplete or contain error so that’s why Data Cleaning is used for, to prevent and correct those errors. There are several Data Cleaning types depending on the type of data.

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Information that is prepared, coordinated and cleaned would be prepared for the analysis. Different data analysis procedures are accessible to comprehend, decipher, and determine ends dependent on the necessities. Data Visualization may likewise be utilized to analyze the information in graphical configuration, to acquire extra knowledge in regards to the messages inside the data.

# data[].attributes.body
It is often easier for people to interpret relative sizes of data when that data is displayed graphically. Note that a categorical variable is a variable that can take on one of a limited number of values and a quantitative variable is a variable that takes on numerical values that represent a measurable quantity

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A pie chart shows the relative proportions of data in different categories. Pie charts are excellent ways of displaying categorical data with easily separable groups.

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A bar chart displays frequencies of categories of data.

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A histogram displays frequencies of quantitative data that has been sorted into intervals.

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A line chart is a graphical representation of an asset's historical price action that connects a series of data points with a continuous line. Line charts can be used on any timeframe, but most often using day-to-day price changes.