Best Year For Ford Maverick

The optional 2.0-liter EcoBoost four-cylinder is a longtime member of the C2 family, and in this application provides this small truck with 250 hp and 277 lb-ft of torque to work with. That's not exactly sports truck levels of performance, but the engine is perfectly well suited to the truck's size and character. The eight-speed automatic transmission has a wide range of ratios to work with, ensuring the truck never felt hampered at elevation above Las Vegas. This optional EcoBoost powertrain is a must for customers looking to get all-wheel drive out of their Maverick, as the hybrid models currently only come in front-driver/CVT spec. Adding the more potent engine and all-wheel drive combo requires $3305, while the EcoBoost alone is a $1085 option. Both trucks come factory rated with a maximum towing capacity of 2000 pounds, but only the AWD EcoBoost models can option the 4K Max Towing Package, which bumps the maximum tow rating to 4000 pounds.

Tough, compact, and packed with features, the Toyota Tacoma is a leading midsize pickup truck. It comes in family-friendly and off-road trims and includes all of the towing and hauling strength most shoppers will ever need. It's a great small truck that is maneuverable around town and returns better fuel economy than larger trucks. The Tacoma's rugged components and comfortable interior make it a safe bet.

The Toyota Tacoma is a 4-seater vehicle that comes in 6 trim levels. The most popular style is the SR5 Double Cab 5' Bed V6 2WD Automatic, which starts at $33,995 and comes with a 3.5L V6 engine and Rear Wheel Drive. This Tacoma is estimated to deliver 19 MPG in the city and 24 MPG on the highway. The Ford F-150 excels as a work truck, off-roader, and family vehicle. It's pricey for a full-size pickup, but it offers truly unique solutions, like a fully hybrid powertrain, flat-reclining seats, a generator, and the Raptor's sensational off-road abilities.

Whatever you are looking for in a truck, the F-150 should be able to help. It's roomy, well-designed, and all of the popular driver safety aids are standard or optionally available. The Ford F-150 is a 3-seater vehicle that comes in 8 trim levels. The most popular style is the XLT SuperCab 8' Box 4WD, which starts at $47,145 and comes with a 5.0L V8 engine and Four Wheel Drive.

This F-150 is estimated to deliver 16 MPG in the city and 22 MPG on the highway. The Honda Ridgeline does things a little differently than your average pickup. Unlike many trucks that use body-on-frame construction, Honda's unibody platform is more car-like, giving it a quieter ride and better fuel economy. Standard driver safety aids and a lockable in-bed trunk round out its livable personality. Rivals offer better towing capacities and off-road ruggedness, but the Ridgeline is tough to beat as a multi-purpose daily driver. The Honda Ridgeline is a 5-seater vehicle that comes in 4 trim levels.

The most popular style is the RTL-E, which starts at $44,795 and comes with a 3.5L V6 engine and All Wheel Drive. This Ridgeline is estimated to deliver 18 MPG in the city and 24 MPG on the highway. The Maverick is based on a version of the Ford Bronco Sport and Escape's platform, which brings with it optional all-wheel drive, rugged capability, and an SUV-like ride. Stick with the standard 191-horsepower hybrid powertrain and you will enjoy an EPA-rated 42 mpg around town and a 500-mile range.

You'll also be able to carry 1,500 pounds of payload and tow 2,500 pounds. Or step up to the 250-horsepower 2.0-liter EcoBoost gas engine, and that towing capacity goes up to 4,000 pounds. There's even an FX4 model with added ground clearance of 8.6 inches.

The base $19,995 Maverick will be equipped with front-wheel drive and a 2.5-liter, four-cylinder, Atkinson-cycle gas engine paired with a 94 kiloWatt electric motor. Its towing capacity is 2,000 pounds, a figure Ford says the vehicle can pull at highway speeds, even on steep grades. Four-wheel drive, and a more powerful, but non-hybrid 2.0-liter four-cylinder, turbocharged motor mated to an eight-speed transmission will be available at higher trim levels. Ford is not yet talking acceleration numbers for any Maverick or prices for the options.

You have a choice of two powertrains with the new Maverick, both perfectly acceptable but each distinctively different. Setting the Maverick apart from … well … everyone is the fact that it comes with a standard gas-electric hybrid powertrain. It's a 2.5-liter four-cylinder mated to an electronic continuously variable automatic transmission that drives the front wheels only.

It makes an easygoing 191 system horsepower and 155 pounds-feet of torque. That ain't a whole lot, and it shows up in the Maverick's lazier accelerator responses. That's pretty exceptional for a five-seat compact pickup that has a 1,500-pound payload rating and a base 2,000-pound towing capacity.

For now, they're the only compact pickups available in the US market. The flashy Santa Cruz feels more like an SUV which happens to have a bed at the back, whereas the Maverick comes across as the more rugged truck. The Ford starts at $4,000 cheaper which immediately gives it an advantage, but the Maverick misses out on some of the safety features that are standard on every Santa Cruz. While the Maverick hybrid leads the way for efficiency, it's the Santa Cruz that has a much better towing capacity of up to 5,000 lbs. Both trucks have a lot to offer and we appreciate that each automaker has given us a unique spin on what they believe a small truck should offer.

Because of the Maverick's attractive starting price, Ford's legacy of high-selling trucks, and its exceptional gas mileage, we'll give the edge to the Blue Oval. The 2022 Ram 1500 full-size pickup delivers truck capability with a smooth, comfortable ride that's unmatched in the segment. It has a wide range of available configurations with quad or crew cabs, rear- or four-wheel drive, and two bed lengths across nine trims and multiple special editions. Capability includes a maximum tow rating of up to 12,750 pounds and a max payload of up to 2,300 pounds. Its range of engines is ready to manage your workday needs or weekend adventures. And a high-performance variant is included for those who want a truck that can handle the rigors of high-speed off-roading.

Pricing starts at $34,500 with the top trim coming in at $72,000. The Ford F-150 has a lower starting price and is the only full-size truck with an available hybrid engine. The Chevrolet Silverado 1500 has a higher tow rating with three available bed lengths. The 2022 Ford Maverick has all the makings of a game-changer among midsize pickups.

It's an affordable, entry-level truck offering great utility, comfort, and practicality without the garage-busting size and fuel thirst. Better yet, it comes standard with a hybrid powertrain with better fuel economy and lower price than most cars. The 2022 Toyota Tundra Capstone represents the pinnacle of pickup truck luxury from the Japanese automaker, meant to be the competitor to vehicles such as the F-150 Limited and Silverado High Country. It gets the largest wheels offered on a Tundra at 22-inches in diameter, too.

Inside it features a unique black-and-white semi-aniline leather upholstery, open pore walnut wood trim and an illuminated Capstone logo. Pricing isn't available, but expect it to be the most expensive Tundra model offered. The all-new 2022 Toyota Tundra is a full-size truck with improvements on all fronts. It now offers two engines, including a hybrid for better fuel efficiency. The suspension has been modified to improve the ride quality, and the all-new infotainment system with a massive available touchscreen is more responsive. There are six trims, rear-wheel or four-wheel drive, two cabs, and three-bed lengths.

Was The Ford Maverick A Good Car Its breadth of options make it versatile enough to work for family life or work life. But it still doesn't have quite the range of configurations as its competitors. The interior is also improved with better materials and more comfortable seating to match the Tundra's smoother ride. The Ram 1500 has a superior ride with more trims and more available engines. The Ford F-150 boasts the highest towing and payload rating in the segment.

The Chevrolet Silverado 1500 offers more engines and more trims in its lineup but a less appealing interior. The Nissan Frontier is a 4-seater vehicle that comes in 4 trim levels. The most popular style is the SV Crew Cab 2WD, which starts at $33,415 and comes with a 3.8L V6 engine and Rear Wheel Drive. This Frontier is estimated to deliver 18 MPG in the city and 24 MPG on the highway. Part crossover, part pickup truck, the Hyundai Santa Cruz offers a tantalizing tangle of virtues. With a high-output engine and all-wheel drive, it will enable the urban dweller to run errands during the week and enjoy on- and off-road adventures on the weekend.

The Hyundai Santa Cruz is a 5-seater vehicle that comes in 4 trim levels. The most popular style is the SEL AWD, which starts at $29,915 and comes with a 2.5L I4 engine and All Wheel Drive. This Santa Cruz is estimated to deliver 21 MPG in the city and 27 MPG on the highway.

The Maverick is the first pickup truck in America to have a hybrid powertrain in its base configuration. The 191-hp, 2.5-liter hybrid four-cylinder is linked to a continuously variable transmission and drives the front wheels. This combination is EPA-rated at 37 mpg combined and has a total range per tank of 500 miles. We expect this small pickup to easily be more efficient than any other pickup on the market. The Maverick hybrid has a standard payload capacity of 1,500 pounds and a 2,000-pound tow capacity—plenty to tow a personal watercraft or two.

Traveling on dirt trails or snowy conditions will be traction-limited with the hybrid. Ford offers the Maverick in three easy-to-digest trim levels, each available with the hybrid or EcoBoost powertrain. While the Maverick XL's $19,995 starting seems tempting, it's easy to jack the price up to over $38,000 with a fully-loaded Lariat trim with the First Edition Package. We'd settle somewhere in the middle, opting for the XLT trim while keeping the more efficient hybrid drivetrain. The $2,345 XLT Luxury Package seems worth the price for a power driver's seat, 400W/100V inverter, bed rails, spray-in bedliner, heated seats, remote start, a leather steering wheel, and more.

Ford Co-Pilot 360 is a handy $540 option that nets you blind-spot assist with rear cross-traffic, and lane-keep assist. Unfortunately, the XLT misses out on push-button start, so you start it with an old-fashioned key. The truck we described would cost $27,305, or $1,085 more for the EcoBoost if you need the added towing capacity. The big benefit of having a standard hybrid powertrain for the Maverick is its very impressive fuel economy.

Initially, Ford promised that it was targeting 40 MPG in the city for the standard hybrid powertrain. However, when the final EPA estimate was announced the vehicle was good for 42 MPG in the city. Ford expects to return 33 MPG on the highway and a combined rating of 37 MPG. That's better fuel economy in the city than the Honda Civic, with much more capability in towing and hauling for the Maverick. In fact, in our testing of the 2022 Maverick pickup, we achieved 40 MPG while carrying 1000 pounds of cargo. The Ford Super Duty F-250 nameplate stretches back to the 1950s.

But it was the imposing "high boy" 4WD models from the 1970s that cemented the truck's reputation as a do-it-all machine for truck buyers with hardcore needs. Today's truck carries that legacy forward by shouldering huge loads, impressive off-road chops, and available diesel engines with up to 1,050 pound-feet of torque. Three body styles — Regular Cab, SuperCab, and the popular Crew Cab — are available.

And the F-250's massive cabin makes it easy to find comfort in every seat in the house. King Ranch, Platinum, and Limited models are downright luxurious. Compared to the Chevrolet Silverado 2500 and Ram 2500, the big Ford offers superior features and comfort. And the F-250 leads the class in many important ways, including ultimate engine torque and towing capacity.

The Toyota Tacoma is one of the most well-rounded pickups on the market. It's durable enough for hard work and towing, while the interior offers refinement and standard technology. The bed comes in two lengths, with tie-down cleats for strapping down large items. Its modular body resembles an off-road racing truck, and the TRD trim levels offer substantial all-terrain abilities. The Limited model features soft leather and many convenience features, but it is costly. Rear seat space in the extended-cab is tight, only comfortable for short trips.

With its blend of ruggedness and comfort, the Tacoma is a superb choice in its category. The Maverick arrives in a brand-new compact truck segment, which also includes the recently-introduced Hyundai Santa Cruz. Ford's approach is interesting here, offering a 2.5-liter four-cylinder hybrid as the base powertrain, driving the front wheels through a CVT. Buyers who want more power and more capability can opt for the 2.0-liter EcoBoost, sending 250 horsepower to the front wheels or optional all-wheel drive.

We've never tested a pickup truck quite like this, and with a starting price under $20,000 , it's easy to see how Ford could have a sales hit on its hands. We tested both variants of the Maverick in Nashville, Tennessee to see if this new baby pickup is still "Built Ford Tough." The Maverick hybrid features a 2.5-liter Atkinson cycle four-cylinder mated to two AC motors, which combine to provide 191 hp and 155 lb-ft of torque.

That power is fed to the front wheels via a continuously variable transmission, which helps the truck achieve up to 42 MPG in the city. Despite a 3674-lb curb weight, from behind the wheel that output feels adequate until you've already surpassed most highway speed limits. Unfortunately, if not surprisingly, the CVT is not as nice to live with as the EcoBoost's eight-speed automatic, as it exacerbates the 2.5-liter four's grainy engine note at every throttle push. Speaking of that gas pedal, the Maverick Hybrid does require a rather large tip-in before the CVT is willing to simulate a new ratio.

While that may take some feelings of brutish grunt away from the truck, the fuel economy benefits of the powertrain are hard to ignore. Ford's published figures are easily achieved, and were simple to beat with minimal gamification of driving style. The only real oddity is the brake pedal, which is a bit inconsistent in feel. That's not abnormal with some modern hybrids, and isn't jarring enough to create problems in this case. Morphing a compact SUV into a pickup brings an unusual amalgam of car and truck traits. For example, massive, antisocial levels of wheelspin with the turbocharged front-drive, even from a rolling start.

We'd recommend opting for all-wheel drive ($2220) with the more powerful engine. In addition to the added traction, all-wheel drive brings with it an independent rear suspension, which replaces a torsion beam in the front-drivers. Over the road, the Maverick has the resolute solidity of a unibody SUV with a firm ride that enables the lofty payload and benefits body control. A flourish is playful lift-throttle rotation at the limit, reminiscent of the compact hatchbacks that Ford no longer sells.

How To Group Two Columns Together In Sql

We can group the resultset in SQL on multiple column values. All the column values defined as grouping criteria should match with other records column values to group them to a single record. SQL, In SQL, GROUP BY Clause is one of the tools to summarize or aggregate the data series. Count(), and sum() to combine into single or multiple columns.

It uses the In the split phase , It divides the groups with its values. The SQL GROUP BY Statement The GROUP BY statement groups rows that have the same values into summary rows, like "find the number of customers in each country". The GROUP BY statement is often used with aggregate functions to group the result-set by one or more columns. Let us use the aggregate functions in the group by clause with multiple columns.

This means given for the expert named Payal, two different records will be retrieved as there are two different values for session count in the table educba_learning that are 750 and 950. The group by clause is most often used along with the aggregate functions like MAX(), MIN(), COUNT(), SUM(), etc to get the summarized data from the table or multiple tables joined together. Grouping on multiple columns is most often used for generating queries for reports, dashboarding, etc. Group by is done for clubbing together the records that have the same values for the criteria that are defined for grouping. When a single column is considered for grouping then the records containing the same value for that column on which criteria are defined are grouped into a single record for the resultset. There's an additional way to run aggregation over a table.

If a query contains table columns only inside aggregate functions, the GROUP BY clause can be omitted, and aggregation by an empty set of keys is assumed. In this article, I will explain how to use groupby() and sum() functions together with examples. ROLLUP is an extension of the GROUP BY clause that creates a group for each of the column expressions. Additionally, it "rolls up" those results in subtotals followed by a grand total.

Under the hood, the ROLLUP function moves from right to left decreasing the number of column expressions that it creates groups and aggregations on. Since the column order affects the ROLLUP output, it can also affect the number of rows returned in the result set. 10.3 Grouping on Two or More Columns, How do I select multiple columns with just one group in SQL? Grouping is one of the most important tasks that you have to deal with while working with the databases. The GROUP BY clause is an optional clause of the SELECT statement that combines rows into groups based on matching values in specified columns.

If the WITH TOTALS modifier is specified, another row will be calculated. This row will have key columns containing default values , and columns of aggregate functions with the values calculated across all the rows (the "total" values). The GROUP BY clause is often used with aggregate functions such as AVG(), COUNT(), MAX(), MIN() and SUM(). In this case, the aggregate function returns the summary information per group. For example, given groups of products in several categories, the AVG() function returns the average price of products in each category. It is not permissible to include column names in a SELECT clause that are not referenced in the GROUP BY clause.

The only column names that can be displayed, along with aggregate functions, must be listed in the GROUP BY clause. Since ENAME is not included in the GROUP BYclause, an error message results. Once the rows are divided into groups, the aggregate functions are applied in order to return just one value per group. It is better to identify each summary row by including the GROUP BY clause in the query resulst. In this case, the server is free to choose any value from each group, so unless they are the same, the values chosen are nondeterministic, which is probably not what you want.

Furthermore, the selection of values from each group cannot be influenced by adding an ORDER BY clause. Result set sorting occurs after values have been chosen, and ORDER BY does not affect which value within each group the server chooses. All the expressions in the SELECT, HAVING, and ORDER BY clauses must be calculated based on key expressions or on aggregate functions over non-key expressions . In other words, each column selected from the table must be used either in a key expression or inside an aggregate function, but not both. Including the GROUP BY clause limits the window of data processed by the aggregate function.

This way we get an aggregated value for each distinct combination of values present in the columns listed in the GROUP BY clause. The number of rows we expect can be calculated by multiplying the number of distinct values of each column listed in the GROUP BY clause. In this case, if the rows were loaded randomly we would expect the number of distinct values for the first three columns in the table to be 2, 5 and 10 respectively. So using the fact_1_id column in the GROUP BY clause should give us 2 rows.

The GROUP BY clause is used in a SELECT statement to group rows into a set of summary rows by values of columns or expressions. Spark also supports advanced aggregations to do multiple aggregations for the same input record set via GROUPING SETS, CUBE, ROLLUP clauses. The grouping expressions and advanced aggregations can be mixed in the GROUP BY clause and nested in a GROUPING SETS clause.

See more details in the Mixed/Nested Grouping Analytics section. When a FILTER clause is attached to an aggregate function, only the matching rows are passed to that function. An SQL aggregate function calculates on a set of values and returns a single value. For example, the average function takes a list of values and returns the average. Because an aggregate function operates on a set of values, it is often used with the GROUP BY clause of the SELECT statement. First, you specify a column name or an expression on which to sort the result set of the query.

If you specify multiple columns, the result set is sorted by the first column and then that sorted result set is sorted by the second column, and so on. Let's start be reminding ourselves how the GROUP BY clause works. An aggregate function takes multiple rows of data returned by a query and aggregates them into a single result row.

Like most things in SQL/T-SQL, you can always pull your data from multiple tables. Performing this task while including a GROUP BY clause is no different than any other SELECT statement with a GROUP BY clause. The fact that you're pulling the data from two or more tables has no bearing on how this works.

In the sample below, we will be working in the AdventureWorks2014 once again as we join the "Person.Address" table with the "Person.BusinessEntityAddress" table. I have also restricted the sample code to return only the top 10 results for clarity sake in the result set. The SUM() function returns the total value of all non-null values in a specified column. Since this is a mathematical process, it cannot be used on string values such as the CHAR, VARCHAR, and NVARCHAR data types. When used with a GROUP BY clause, the SUM() function will return the total for each category in the specified table. This syntax allows users to perform analysis that requires aggregation on multiple sets of columns in a single query.

Complex grouping operations do not support grouping on expressions composed of input columns. To this point, I've used aggregate functions to summarize all the values in a column or just those values that matched a WHERE search condition. You can use the GROUP BY clause to divide a table into logical groups and calculate aggregate statistics for each group. Groupby & sum on single & multiple columns is accomplished by multiple ways in pandas, some among them are groupby(), pivot(), transform(), and aggregate() functions.

Aggregate functions return a single result row based on groups of rows, rather than on single rows. Aggregate functions can appear in select lists and in ORDER BY and HAVING clauses. They are commonly used with the GROUP BY clause in a SELECT statement, where Oracle Database divides the rows of a queried table or view into groups. Pandas comes with a whole host of sql-like aggregation functions you can apply when grouping on one or more columns. This is Python's closest equivalent to dplyr's group_by + summarise logic.

Here's a quick example of how to group on one or multiple columns and summarise data with aggregation functions using Pandas. In this query, all rows in the EMPLOYEE table that have the same department codes are grouped together. The aggregate function AVG is calculated for the salary column in each group. The department code and the average departmental salary are displayed for each department.

It filters non-aggregated rows before the rows are grouped together. To filter grouped rows based on aggregate values, use the HAVING clause. The HAVING clause takes any expression and evaluates it as a boolean, just like the WHERE clause.

As with the select expression, if you reference non-grouped columns in the HAVINGclause, the behavior is undefined. Another extension, or sub-clause, of the GROUP BY clause is the CUBE. The CUBE generates multiple grouping sets on your specified columns and aggregates them.

In short, it creates unique groups for all possible combinations of the columns you specify. For example, if you use GROUP BY CUBE on of your table, SQL returns groups for all unique values , , and . In the sample below, we will return a list of the "CountryRegionName" column and the "StateProvinceName" from the "Sales.vSalesPerson" view in the AdventureWorks2014 sample database. In the first SELECT statement, we will not do a GROUP BY, but instead, we will simply use the ORDER BY clause to make our results more readable sorted as either ASC or DESC. IIt is important to note that using a GROUP BY clause is ineffective if there are no duplicates in the column you are grouping by. A better example would be to group by the "Title" column of that table.

The SELECT clause below will return the six unique title types as well as a count of how many times each one is found in the table within the "Title" column. You can query data from multiple tables using the INNER JOIN clause, then use the GROUP BY clause to group rows into a set of summary rows. Criteriacolumn1 , criteriacolumn2,…,criteriacolumnj – These are the columns that will be considered as the criteria to create the groups in the MYSQL query. There can be single or multiple column names on which the criteria need to be applied. We can even mention expressions as the grouping criteria.

SQL does not allow using the alias as the grouping criteria in the GROUP BY clause. Note that multiple criteria of grouping should be mentioned in a comma-separated format. Even though the database creates the index for the primary key automatically, there is still room for manual refinements if the key consists of multiple columns. In that case the database creates an index on all primary key columns—a so-called concatenated index (also known as multi-column, composite or combined index). Note that the column order of a concatenated index has great impact on its usability so it must be chosen carefully.

Listing 6.12 and Figure 6.12 show a simple GROUP BY query that calculates the total sales, average sales, and number of titles for each type of book. In Listing 6.13 and Figure 6.13, I've added a WHERE clause to eliminate books priced under $13 before grouping. I've also added an ORDER BY clause to sort the result by descending total sales of each book type. The key of it all is the way that we can use the "grouped rows" to actually re-expand those rows and use the average of the whole dataset against every single row. If you had, for example, another fridge, then the technique will still work – you wouldn't need to change anything from the query itself. In this article, you have learned to GroupBy and sum from pandas DataFrame using groupby(), pivot(), transform(), and aggregate() function.

Also, you have learned to Pandas groupby() & sum() on multiple columns. The query is valid if name is a primary key of t or is a unique NOT NULL column. In such cases, MySQL recognizes that the selected column is functionally dependent on a grouping column. For example, if name is a primary key, its value determines the value of address because each group has only one value of the primary key and thus only one row. As a result, there is no randomness in the choice of address value in a group and no need to reject the query.

The HAVING keyword works exactly like the WHERE keyword, but uses aggregate functions instead of database fields to filter. In this page, we are going to discuss the usage of GROUP BY and ORDER BY along with the SQL COUNT () function. The GROUP BY makes the result set in summary rows by the value of one or more columns. Each same value on the specific column will be treated as an individual group.

Syntax diagram - SUM Function SQL SUM() using multiple columns example it should be mentioned that the SQL SUM() and SQL COUNT() both returns a single row. WITH CUBE modifier is used to calculate subtotals for every combination of the key expressions in the GROUP BY list. WITH ROLLUP modifier is used to calculate subtotals for the key expressions, based on their order in the GROUP BY list. In Excel, you may always need to sum multiple columns based on one criteria.

For example, I have a range of data as left screenshot shown, now, I want to get the total values of KTE in three months – Jan, Feb and Mar. Sum multiple columns based on single criteria with a helper column. The aggregate function SUM is ideal for computing the sum of a column's values. This function is used in a SELECT statement and takes the name of the column whose values you want to sum. If you do not specify any other columns in the SELECT statement, then the sum will be calculated for all records in the table.

In Microsoft Access, GROUP BY is a clause you can use to combine records with identical values in a specific field in one record. If you include an SQL aggregate function in the SELECT statement, such as AVG, COUNT, or SUM, Access creates a summary value for each record. When you use a GROUP BY clause, you will get a single result row for each group of rows that have the same value for the expression given in GROUP BY.

The Group By statement is used to group together any rows of a column with the same value stored in them, based on a function specified in the statement. Generally, these functions are one of the aggregate functions such as MAX() and SUM(). SQL allows the user to store more than 30 types of data in as many columns as required, so sometimes, it becomes difficult to find similar data in these columns. Group By in SQL helps us club together identical rows present in the columns of a table. This is an essential statement in SQL as it provides us with a neat dataset by letting us summarize important data like sales, cost, and salary.

How to group by two columns in R, You apparently are not interested in taking your Character as a Date variable. Considering that I'm not wrong you could simply do How to group by multiple columns in dataframe using R and do aggregate function. The GROUP BY statement is often used with aggregate functions (COUNT(),MAX(),MIN(), SUM(),AVG()) to group the result-set by one or more columns. We can observe that for the expert named Payal two records are fetched with session count as 1500 and 950 respectively.